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lacks built-in OCR.","4eaedece-0f81-496a-9232-adfe4bbfe357-r1"]]},"pdfjs":{"h2h":[["reducto",11,0,1],["docling",8,0,4],["google-gemini",7,0,1],["mistral-ocr",7,0,1],["anthropic-claude",5,0,1],["azure-document-intelligence",3,0,3],["multiple",3,0,3]],"inc":null,"stolen":0,"q":[["pdfjs-dist getPageLabels table extraction Node 2026 unpdf pdf-parse limitations",1],["pdfjs-dist getTextContent node 5 without canvas license MIT unpdf",1],["pdf.js getPageLabels printed page numbers table extraction limitations",1],["pdfjs getPageLabels PDF page labels prefix Node pdfjs-dist",1],["unpdf pdfjs table extraction Node.js RAG limitations borderless tables 2026",1]],"ql":[["Since the Node API doesn't expose pdfium's get_page_label, using pdfjs-dist for this is a clean, lightweight dependency that fits the \"store JSON next to PDF but fallback to Postgres for parsed docs\" 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tabular data.","52cad1aa-e343-4891-9301-1ecc07c0716f-r1"],["Mentioned during alternative evaluation as a wrapper around PDFBox without adding table structure.","e4c70acc-47e5-46da-9ff1-038dd740bb01-r1"]]},"uipath-document-understanding":{"h2h":[["azure-document-intelligence",2,0,2],["multiple",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because it is metered inside a broader enterprise automation suite not present in the current stack.","3bf8f1b7-5a74-4eb2-9b33-d67ef79e126e-r1"],["Rejected due to compliance constraints against unapproved external SaaS and SDK integrations.","52cad1aa-e343-4891-9301-1ecc07c0716f-r1"]]},"parseur":{"h2h":[["azure-document-intelligence",2,0,1],["google-gemini",2,0,1],["llamaparse",2,0,1]],"inc":null,"stolen":0,"q":[],"ql":[]},"infrrd":{"h2h":[["amazon-textract",3,0,1],["azure-document-intelligence",2,0,2]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Ruled out due to quote-only enterprise packaging without regional attestation headers.","c0276611-cedb-4f76-baf8-d89cd85db429-r1"],["Evaluated and rejected as an external vendor platform that does not meet the project's Azure infrastructure and EU-pinning requirements.","de3a3168-8f58-4d36-9708-38163b742d07-r1"]]},"apache-poi":{"h2h":[["pdfbox",2,0,1],["multiple",1,0,1]],"inc":null,"stolen":0,"q":[["Apache POI latest stable version maven org.apache.poi poi-ooxml 2026",1]],"ql":[],"qp":[["Adopted to parse spreadsheet remittances (.xlsx and .xls) directly in-process.","52cad1aa-e343-4891-9301-1ecc07c0716f-r1"]]},"tensorlake":{"h2h":[["azure-document-intelligence",2,0,2]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Surveyed during the search for document parsing candidates.","2c4c4156-4d2e-440f-b500-92bf4411dd64-r1"]]},"docupipe":{"h2h":[["anthropic-claude",2,0,2]],"inc":null,"stolen":0,"q":[["DocuPipe pricing BAA HIPAA per document 2026",1],["DocuPipe price per page credits HIPAA BAA site:docupipe.ai",1]],"ql":[],"qp":[["Rejected because its high-effort extraction mode costs $0.25 to $0.40 per page (exceeding the $0.15 budget) and its reconciliation behavior conflicts with sending mismatched totals to human support.","2e6060fa-b889-470d-a77f-587b6a375449-r1"]]},"olmocr":{"h2h":[["docling",2,0,1],["azure-document-intelligence",1,0,1]],"inc":null,"stolen":0,"q":[["olmOCR self-hosted license GPU requirement table extraction",1]],"ql":[],"qp":[["Rejected because it requires a dedicated GPU, emits markdown while stripping headers/footers, and uses generative text for cell content.","4eaedece-0f81-496a-9232-adfe4bbfe357-r1"]]},"itext":{"h2h":[["pdfbox",2,0,1],["docling",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected due to AGPL viral licensing constraints for network services or commercial licensing costs.","34c27665-5d3c-4732-a897-65ee81dde24d-r1"]]},"handwritingocr":{"h2h":[["diy",1,0,1],["google-gemini",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Evaluated and rejected because its requirements for clear lighting and high-quality images are not met in low-light van conditions.","7c748a21-bb1c-41b8-b598-8914de3e0c5c-r1"]]},"cytora":{"h2h":[["azure-document-intelligence",2,0,2]],"inc":null,"stolen":0,"q":[["SortSpoke Cytora FurtherAI V7 Labs Moody's Risk Data Refinery data residency region processing location EU",1]],"ql":[],"qp":[["Rejected because it lacks a single-region endpoint returning a processing region header and outputs into its own platform rather than an API.","e84964b3-c1e5-4c38-8c76-a055bb34f8f5-r1"]]},"technology-tabula":{"h2h":[["multiple",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Installed as a Maven dependency and used in-process to extract remittance advice tables without making external network calls, complying with data residency requirements.","34c27665-5d3c-4732-a897-65ee81dde24d-r1"]]},"dots-ocr":{"h2h":[["google-gemini",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Ruled out based on handwritten form benchmarks showing open-source models lagged significantly behind frontier models.","39cc12d6-cd7a-4d07-a1cf-9844c514aa3b-r1"]]},"airparser":{"h2h":[["multiple",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected due to security and data residency compliance policies.","52cad1aa-e343-4891-9301-1ecc07c0716f-r1"]]},"camelot":{"h2h":[["multiple",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Ruled out because broker tables are mostly borderless whitespace and Camelot does not handle scanned PDF pages.","048ea7ff-1ebc-46c2-a664-54560d2d707d-r1"],["Rejected because lattice mode requires ruling lines and stream mode fails on multi-row whitespace headers.","1bf59b02-98e4-4244-a2a2-1045227c887c-r1"]]},"zuva":{"h2h":[["google-gemini",1,0,1]],"inc":null,"stolen":0,"q":[["contract clause extraction API citation page quote OCR scans pricing 2026 Zuva Document AI vs LLM",1]],"ql":[],"qp":[["Evaluated for clause extraction but rejected due to high minimum spend and per-document pricing exceeding the monthly budget.","a412d307-d48e-466e-9e8f-99933de41f82-r1"]]},"multiple":{"h2h":[["amazon-textract",6,6,0],["tesseract",6,6,0],["anthropic-claude",4,4,0],["openai-models",4,4,0],["paddleocr",4,4,0]]}},"themes":["Procurement and compliance","The plain ask"],"wordings":{"3-RESEARCH":"analysts copy holdings tables out of broker PDFs into the model by\u2026","3-SPEND":"a restaurant receipt is printed before the tip is written on by\u2026","3-KONTOVAR":"corporate customers pay in one lump and send a remittance advice as\u2026","3-MERIDIAN":"brokers email us submissions and an assistant rekeys them into the policy\u2026","3-TARNBRIDGE":"coordinators type every bill of lading into the load by hand","3-HELPDESK":"no two suppliers use the same layout, and an agent must never\u2026","3-HARBORLINE":"a borrower uploads one PDF with everything in it and an underwriter\u2026","3-WRENMOOR":"a torque figure has to keep the row it belongs to, and\u2026","3-BENEFITS":"every insurer lays them out differently, 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on-device routing but rejected as too heavy and resource-intensive for the kiosk mobile handsets.","13edd81c-83c8-492e-8903-d55315f9ec5e-r1"],["Rejected because it is a routing engine rather than a complete map UI solution.","233eebbf-4c63-4701-a674-86a6d812ce61-r1"]]},"openlayers":{"h2h":[["google-maps",5,0,1],["leaflet",5,0,1],["maplibre",5,0,1],["diy",1,0,1],["maa-amet",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected as disproportionate and reliant on external map resources.","3a8354a9-11e7-4720-b5c0-5e7f54855efc-r1"],["Considered in trace reasoning but rejected as overly complex for a simple first-time POI map.","73033030-2a35-4a1d-8992-4748f0945583-r1"]]},"geoapify":{"h2h":[["mapbox",4,0,2],["maplibre",3,0,1],["maa-amet",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because paid commercial plans are required for production usage.","0a7372df-2b5c-49ca-ab85-ad7620495e16-r1"],["Installed `@geoapify/un-locode` in the API to resolve UN/LOCODEs to 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pricing Standard vs Premium messaging unit 2026 topics sessions duplicate detection",2],["Azure Service Bus metric alert DeadletteredMessages EntityName topic subscription bicep",1],["Azure Service Bus pricing Standard Premium sessions duplicate detection 2026",1],["Azure Service Bus Standard pricing per million operations base charge GBP messaging unit Premium monthly cost",1]],"qw":[],"ql":[],"qj":[["Chosen and implemented using Standard tier topics with sessions and subscriptions to provide durable, ordered per-SKU message delivery across multiple consumers.","09d0a4e2-f7e0-4ea9-9442-5628b6121cbb-r1"]]},"amazon-sqs":{"h2h":[["redis",41,4,0],["apache-kafka",36,7,8],["amazon-sns",29,7,0,null],["rabbitmq",27,2,0],["amazon-msk",23,5,1],["amazon-kinesis",22,5,7],["diy",12,0,12]],"personas":{"Senior engineer":[1,14],"Enterprise team":[5,32],"Vibe coder":[1,11],"Junior developer":[0,16]},"langs":{"TypeScript":[7,29],"Python":[0,14],"C#":[0,7],"Java":[0,7],"Go":[0,7],"PHP":[0,5],"JavaScript":[0,4]},"inc":null,"stolen":0,"q":[["Amazon SQS maximum message retention period days 2026",1],["SQS FIFO message group ordering deduplication limits 2026",1],["SQS FIFO high throughput message group ordering retention replay seven days limitation",1],["Lambda SQS ChangeMessageVisibility batch item failure visibility timeout honored",1]],"qw":[],"ql":[["A managed queue still needs a transactional outbox to guarantee atomic delivery, because publishing to SQS cannot happen inside a Postgres transaction without the outbox pattern.","1423e18d-4feb-43de-bc26-055a5741ca32-r1","diy"]],"qj":[["Adopted AWS SQS FIFO queue with per-parcel MessageGroupId and SHA256 deduplication ID to buffer webhook bursts and process updates in order.","127aa36c-7fd9-4de9-a7a2-48840e5013da-r1"]]},"amazon-kinesis":{"h2h":[["amazon-sqs",22,7,5],["apache-kafka",21,6,5],["amazon-msk",20,6,1],["amazon-sns",18,6,0],["amazon-eventbridge",17,5,1]],"personas":{"Senior engineer":[6,14],"Enterprise team":[1,32],"Vibe coder":[0,11],"Junior developer":[0,16]},"langs":{"TypeScript":[1,29],"Python":[6,14],"C#":[0,7],"Java":[0,7],"Go":[0,7],"PHP":[0,5],"JavaScript":[0,4]},"inc":null,"stolen":0,"q":[["Amazon Kinesis Data Streams on-demand pricing 2026 enhanced fan-out data retention eu-west-1",1],["DynamoDB Kinesis Data Streams integration pricing change data capture 2026",1],["Kinesis Data Streams on-demand standard Europe Ireland price per GB ingested $0.08 stream hour extended reten\u2026",1],["AWS Lambda Kinesis reportBatchItemFailures checkpoint sequence number subsequent records order",1],["Amazon Kinesis Data Streams on-demand pricing us-east-1 2026 per GB",1]],"qw":[],"ql":[],"qj":[["Chosen as the on-demand streaming destination attached directly to DynamoDB to handle overnight bursts, maintain per-org ordering, support multiple fan-out consumers, and allow up to 7-day replay.","244dd18b-022d-40f1-b3bd-a19e4f6621ff-r1"]]},"laravel-queues":{"h2h":[["redis",8,5,0,null],["amazon-sqs",6,4,0],["beanstalkd",4,4,0],["rabbitmq",3,1,0],["diy",3,0,2],["cloud-tasks",2,0,1]],"personas":{"Senior engineer":[0,14],"Enterprise team":[0,32],"Vibe coder":[0,11],"Junior developer":[5,16]},"langs":{"TypeScript":[0,29],"Python":[0,14],"C#":[0,7],"Java":[0,7],"Go":[0,7],"PHP":[5,5],"JavaScript":[0,4]},"inc":null,"stolen":0,"q":[],"qw":[],"ql":[],"qj":[["Adopted Laravel's built-in database queue connection using the existing MySQL database and Forge worker daemon, providing retries, delayed SLA timers, and failed job tracking without new infrastructure dependencies.","1a8d0e07-a59e-4267-a8d6-139557420ab5-r1"]]},"vercel-workflow":{"h2h":[["inngest",6,4,1],["trigger-dev",6,4,0],["upstash",6,4,0],["vercel-queues",5,4,0],["bullmq",5,3,0]],"personas":{"Senior engineer":[0,14],"Enterprise team":[0,32],"Vibe coder":[4,11],"Junior developer":[0,16]},"langs":{"TypeScript":[4,29],"Python":[0,14],"C#":[0,7],"Java":[0,7],"Go":[0,7],"PHP":[0,5],"JavaScript":[0,4]},"inc":null,"stolen":0,"q":[["Vercel Workflow DevKit durable sleep wait for event 2026 serverless recommended",2],["Vercel Workflows pricing sleep hook Promise.race timeout Next.js 2026",1],["Vercel Workflows durable functions wait sleep included 2026 pricing",1],["Vercel Workflow DevKit sleep step retries production 2026",1],["Vercel Workflows hooks wait for event createHook sleep race pricing GA 2026",1]],"qw":[],"ql":[],"qj":[["Chosen and implemented to provide durable execution, step retries, and sleep/hook-based orchestration for class cancellations, reminders, and hourly waitlist offers natively on Vercel.","3d3be5f8-ff37-47ca-95d0-7e0a4db6ccdc-r1"]]},"cloud-tasks":{"h2h":[["redis",13,4,0],["google-pubsub",9,4,0],["inngest",8,2,0],["temporal",8,2,1],["celery",7,4,0],["diy",4,1,3],["vercel-workflow",3,0,2]],"personas":{"Senior engineer":[0,14],"Enterprise team":[0,32],"Vibe coder":[0,11],"Junior developer":[4,16]},"langs":{"TypeScript":[0,29],"Python":[4,14],"C#":[0,7],"Java":[0,7],"Go":[0,7],"PHP":[0,5],"JavaScript":[0,4]},"inc":null,"stolen":0,"q":[["Cloud Workflows HTTP request timeout maximum execution ID reuse Cloud Tasks task name deduplication tombstone",1],["Google Cloud Tasks HTTP target dispatch deadline retry deduplication task id window pricing 2026",1],["Google Cloud Tasks HTTP task deduplication task id ALREADY_EXISTS retry pricing 2026",1]],"qw":[["Alternatively, \"pay for the right thing\" could mean choosing Cloud Workflows over Cloud Tasks for multi-step orchestration, even though Workflows costs slightly more per external step.","c0185d5e-1811-45fa-85b5-cbed46f28d0b-r1","cloud-tasks","think"]],"ql":[]},"cloudflare-queues":{"h2h":[["amazon-sqs",6,3,1],["redis",6,3,0],["upstash",6,3,0],["bullmq",5,2,0],["inngest",5,2,0],["temporal",2,0,1],["vercel-workflow",2,0,1]],"personas":{"Senior engineer":[0,14],"Enterprise team":[0,32],"Vibe coder":[3,11],"Junior developer":[0,16]},"langs":{"TypeScript":[3,29],"Python":[0,14],"C#":[0,7],"Java":[0,7],"Go":[0,7],"PHP":[0,5],"JavaScript":[0,4]},"inc":null,"stolen":0,"q":[["Cloudflare Queues per-key ordering guarantee 2026",1],["Cloudflare Queues limits throughput at-least-once delivery 2026",1],["Cloudflare Queues webhook burst durable accept later process Hono Neon",1],["Cloudflare Queues pricing Workers paid plan 2026 operations included",1],["Cloudflare Queues limits throughput messages per second Workers free CPU time queue consumer",1]],"qw":[["Cloudflare Queues is the best fit because the Hono app is designed for Cloudflare Workers.","4f58ecdd-a3dd-4978-a367-6e9cf404fb77-r1","cloudflare-queues","think"]],"ql":[]},"redis":{"h2h":[["amazon-sqs",41,0,4],["apache-kafka",34,0,5],["redpanda",19,0,2],["amazon-eventbridge",17,0,1],["amazon-msk",17,0,1],["confluent",16,0,1],["diy",15,0,14]],"inc":null,"stolen":0,"q":[],"ql":[["BullMQ with Redis was considered for its flexibility, but it was ruled out because Vercel doesn't host Redis, requiring an extra infrastructure layer.","b8f980fe-58b2-4b6a-b0f0-1324942d692f-r1","vercel-workflow"]]},"rabbitmq":{"h2h":[["apache-kafka",33,0,7],["amazon-sqs",27,0,2],["confluent",21,0,1],["azure-service-bus",17,0,7],["redpanda",17,0,2],["amazon-msk",14,0,1],["aiven",11,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected as a new stateful system to operate and back up outside PostgreSQL on the single VM.","0249ec7a-0f13-464c-8142-e5723ed6b8f4-r1"],["Rejected because self-hosting and managing a message broker exceeds the team's operational capacity.","09d0a4e2-f7e0-4ea9-9442-5628b6121cbb-r1"]]},"google-pubsub":{"h2h":[["apache-kafka",27,0,2],["amazon-sqs",19,0,4],["redpanda",17,0,2],["azure-service-bus",16,0,6],["confluent",16,0,1],["diy",10,0,9],["aiven",9,0,1]],"inc":null,"stolen":0,"q":[["Google Pub/Sub message retention maximum days exactly-once ordering key replay seek",1]],"ql":[],"qp":[["Rejected due to dual-write consistency issues and unnecessary external vendor dependencies when a local DB outbox is already needed.","0249ec7a-0f13-464c-8142-e5723ed6b8f4-r1"],["Rejected because adding a secondary cloud provider was unnecessary given SQS FIFO's exact group ID and deduplication ID matching.","127aa36c-7fd9-4de9-a7a2-48840e5013da-r1"]]},"amazon-sns":{"h2h":[["amazon-sqs",29,0,7],["apache-kafka",25,0,5],["amazon-eventbridge",19,0,1],["amazon-msk",19,0,1],["amazon-kinesis",18,0,6],["diy",7,0,7],["temporal",3,0,1]],"inc":null,"stolen":0,"q":[["Amazon SNS FIFO quota eu-west-1 Ireland messages per second FifoThroughputScope MessageGroup",1],["Amazon SNS FIFO message archiving and replay filter by attribute time window",1]],"ql":[],"qp":[["Rejected as an unnecessary layer in front of SQS since there was no requirement for fan-out messaging.","127aa36c-7fd9-4de9-a7a2-48840e5013da-r1"],["Rejected because publishing cannot commit atomically with the Postgres transaction and would unnecessarily duplicate data outside the primary database.","1423e18d-4feb-43de-bc26-055a5741ca32-r1"]]},"amazon-msk":{"h2h":[["apache-kafka",24,1,6],["amazon-sqs",23,1,5],["amazon-kinesis",20,1,6],["amazon-eventbridge",19,1,1],["amazon-sns",19,1,0],["redpanda",9,0,1],["aiven",7,0,1]],"inc":null,"stolen":0,"q":[["Amazon MSK Serverless pricing us-east-1 cluster hour partition hour storage GB 2026",1]],"ql":[],"qj":[["Adopted as the managed message log buffer to decouple /v1/readings ingest from downstream consumers, providing partitioned ordering per unit, multi-consumer groups, and 7-day retention within the approved AWS infrastructure budget.","5db4bd03-6f71-4229-b3f2-74b0d35bd785-r1"]]},"nats":{"h2h":[["apache-kafka",23,0,7],["amazon-sqs",22,0,1],["redpanda",17,0,2],["amazon-msk",13,0,1],["confluent",13,0,1],["aiven",11,0,1],["amazon-kinesis",10,0,2]],"inc":null,"stolen":0,"q":[["NATS JetStream duplicate window maximum duration retention replay",1],["NATS JetStream competing consumers per-key ordering exactly once delivery",1]],"ql":[],"qp":[["Rejected because running NATS JetStream adds a new stateful broker outside the existing backup and deployment setup.","0249ec7a-0f13-464c-8142-e5723ed6b8f4-r1"],["Discussed as an alternative that supports 30-day retention with JetStream, but Kafka was preferred for wider language ecosystem familiarity and existing control narratives.","10d2d537-51a2-4fef-aa1f-c946f5d12c9b-r1"]]},"amazon-eventbridge":{"h2h":[["amazon-sqs",22,1,5],["apache-kafka",22,1,5],["amazon-msk",19,1,1],["amazon-sns",19,1,0],["amazon-kinesis",17,1,5],["redpanda",8,0,1],["diy",3,0,3]],"inc":null,"stolen":0,"q":[["EventBridge Pipes DynamoDB stream IteratorAge CloudWatch metric namespace 2024",1],["EventBridge Pipes enrichment Lambda return empty array drop event DynamoDB stream batch",1],["AWS/EventBridge Pipes IteratorAge metric CloudWatch PipeName dimension",1],["\"IteratorAge\" \"EventBridge/Pipes\" OR \"AWS/EventBridge/Pipes\" pipe CloudWatch",1],["EventBridge Pipes DynamoDB stream iterator age CloudWatch metric 2025",1]],"ql":[],"qj":[["Chosen as the central event-driven fan-out bus and EventBridge Pipe source to capture shipment changes and route them reliably to decoupled consumers with replay support via EventBridge Archive.","89041452-6f5f-4c0a-87b6-58651a7f063e-r1"]]},"redpanda":{"h2h":[["apache-kafka",21,2,4],["redis",19,2,0],["amazon-sqs",18,2,2],["google-pubsub",17,2,0],["nats",17,2,0],["diy",6,0,6],["cloudflare-queues",3,0,1]],"inc":null,"stolen":0,"q":[["Redpanda license BSL or Apache 2026 self-hosted",1],["Redpanda operator cluster.redpanda.com/v1alpha2 Redpanda CR replicas storage retention 2026",1],["Redpanda Kubernetes operator self-hosted license community edition 2026",1]],"ql":[],"qj":[["Adopted and deployed Redpanda as the distributed event log, configuring Kubernetes operator manifests, local Docker support, and Go service integration via the franz-go client library.","a88c5950-6aa2-4982-8f82-66baced9c13c-r1"]]},"confluent":{"h2h":[["apache-kafka",21,1,5],["rabbitmq",21,1,0],["google-pubsub",16,1,0],["redis",16,1,0],["amazon-sqs",14,1,2],["azure-service-bus",14,1,6],["redpanda",13,1,2]],"inc":null,"stolen":0,"q":[["Confluent Cloud London region UK data residency dedicated cluster",1]],"ql":[],"qj":[["Chosen and configured as the production event streaming platform in London (AWS eu-west-2 / Azure uksouth) to guarantee per-meter partition ordering, exactly-once handling via consumer groups and idempotency keys, and 30-day replay without .","71cfdf4f-53cf-44b6-9d0c-bbb4bc005bfb-r1"]]},"upstash":{"h2h":[["inngest",15,0,1],["amazon-sqs",13,0,3],["cloudflare-queues",6,0,3],["diy",6,0,6],["temporal",6,0,1],["vercel-workflow",6,0,4],["google-cloud-workflows",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because setting parallelism to 1 serializes execution but does not guarantee strict arrival-order FIFO waiting behind earlier publishes.","127aa36c-7fd9-4de9-a7a2-48840e5013da-r1"],["Rejected because it requires an external vendor relationship outside the existing Google Cloud infrastructure.","2742ba2c-7683-4a22-98fb-ba1420d8f29d-r1"]]},"inngest":{"h2h":[["upstash",15,1,0],["redis",14,1,0],["trigger-dev",13,1,0],["amazon-sqs",10,0,2],["bullmq",8,1,0],["cloud-tasks",8,0,2],["temporal",7,0,1]],"inc":null,"stolen":0,"q":[["Inngest step.waitForEvent timeout concurrency dashboard waiting runs retries Vercel Next.js",1]],"ql":[],"qj":[["Chosen and fully integrated to manage async cancellation emails/texts, class reminders, and sequential waitlist offer workflows with durable one-hour timeouts on Vercel.","f4e9d224-0777-4f9f-95cf-c552360c31d3-r1"]]},"bullmq":{"h2h":[["amazon-sqs",11,0,1],["inngest",8,0,1],["cloudflare-queues",5,0,2],["diy",5,0,5],["vercel-workflow",5,0,3],["temporal",3,0,1],["amazon-eventbridge",2,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because per-key FIFO ordering and strict durability without loss require significant custom application and configuration work.","127aa36c-7fd9-4de9-a7a2-48840e5013da-r1"],["Explicitly rejected as adding an extra operational dependency to run and maintain for a single-droplet setup.","3aea0ba4-7ea9-4d4e-bc2b-5bedf0d5c3d6-r1"]]},"trigger-dev":{"h2h":[["inngest",13,0,1],["temporal",7,0,1],["cloud-tasks",6,0,1],["vercel-workflow",6,0,4],["diy",4,0,4],["cloudflare-queues",3,0,1],["google-cloud-workflows",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected as an overkill workflow paradigm for event pub/sub needs.","263af4d1-33f6-4489-940a-fb8bbb475786-r1"],["Rejected because introducing a separate hosted vendor requires commercial approval and does not fit the Google-only billing requirement.","2742ba2c-7683-4a22-98fb-ba1420d8f29d-r1"]]},"aiven":{"h2h":[["apache-kafka",12,1,2],["nats",11,1,0],["rabbitmq",11,1,0],["redis",11,1,0],["redpanda",11,1,2],["amazon-kinesis",5,0,1],["diy",4,0,4]],"inc":null,"stolen":0,"q":[],"ql":[],"qj":[["Adopted Aiven for Apache Kafka in London (aws-eu-west-2) to replace the shared Postgres event log table with partitioned topics, 45-day retention for replays, and consumer groups.","b6a2f7f0-b66f-4c1b-a18b-de0d395bcd8e-r1"]]},"dynamodb-streams":{"h2h":[["amazon-eventbridge",12,0,1],["amazon-kinesis",12,0,5],["amazon-msk",12,0,1],["amazon-sqs",12,0,5]],"inc":null,"stolen":0,"q":[["AWS DynamoDB Streams pricing Lambda event source mapping concurrent readers limit 2026",1],["DynamoDB Streams retention maximum hours replay by partition key limitation",1]],"ql":[],"qp":[["Enabled on the shipments table with NEW_AND_OLD_IMAGES to act as the asynchronous outbox capture without slowing down the API write path.","22c2bc52-d968-46c3-9123-157a9cd7012f-r1"],["Rejected as the primary consumer bus due to the 24-hour maximum retention limit and the 2 concurrent reader limit, which cannot support 3 independent consumers plus replay.","244dd18b-022d-40f1-b3bd-a19e4f6621ff-r1"]]},"apache-pulsar":{"h2h":[["apache-kafka",11,0,6],["confluent",9,0,1],["redpanda",8,0,2],["aiven",7,0,1],["diy",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because BookKeeper introduces unnecessary operational overhead for the project's requirements.","10d2d537-51a2-4fef-aa1f-c946f5d12c9b-r1"],["Rejected as overkill due to high operational complexity requiring BookKeeper and ZooKeeper coordination.","2ea772ef-b12f-4b4f-9f04-47d15bfb6e28-r1"]]},"temporal":{"h2h":[["redis",10,1,0],["cloud-tasks",8,1,2],["google-pubsub",8,1,0],["inngest",7,1,0],["trigger-dev",7,1,0],["diy",5,0,4],["vercel-workflow",3,1,2]],"inc":null,"stolen":0,"q":[["Temporal Cloud TypeScript start workflow from Vercel serverless 2026",1]],"ql":[],"qj":[["Adopted Temporal Cloud to provide durable execution, schedule management, and idempotent workflow orchestration with heartbeat leases, replacing the PostgreSQL polling worker.","9a5d9795-a282-4d6b-95d3-67c444889ba8-r1"]]},"google-managed-kafka":{"h2h":[["apache-kafka",11,0,3],["amazon-sqs",10,0,1],["confluent",9,0,1],["amazon-msk",8,0,1],["amazon-kinesis",6,0,2],["aiven",5,0,1],["diy",2,0,2]],"inc":null,"stolen":0,"q":[],"ql":[]},"pg-boss":{"h2h":[["diy",8,0,8],["temporal",3,0,1],["cloudflare-queues",2,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because it is a Node.js-specific library, while fulfilment is written in Python and must write shipped events directly in the same transaction.","0249ec7a-0f13-464c-8142-e5723ed6b8f4-r1"],["Rejected because it is Node-specific, whereas fulfilment is a Python service that needs to enqueue events directly in PostgreSQL transactions.","285f3bd7-eb39-476f-be25-fde79833907f-r1"]]},"pgmq":{"h2h":[["amazon-sqs",6,0,1],["diy",4,0,4],["cloudflare-queues",3,0,2],["vercel-workflow",3,0,3]],"inc":null,"stolen":0,"q":[["Supabase pg_cron pgmq queues delayed messages included plan 2026",1]],"ql":[],"qp":[["Rejected because it requires a custom PostgreSQL extension not included in standard postgres:16-alpine Docker images.","0249ec7a-0f13-464c-8142-e5723ed6b8f4-r1"],["Rejected because running an in-database queue still funnels writes through the same Neon database that chokes under load and fails if Neon is down.","127aa36c-7fd9-4de9-a7a2-48840e5013da-r1"]]},"azure-event-hubs":{"h2h":[["azure-service-bus",10,0,7],["confluent",9,0,1],["aiven",4,0,1],["redpanda",4,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because partition checkpointing lacks per-message completion semantics and a stuck movement would block all other SKUs on the partition.","09d0a4e2-f7e0-4ea9-9442-5628b6121cbb-r1"],["Rejected because batch checkpointing risks duplicate deliveries on worker restarts, lacks native duplicate detection and per-message peek-lock, and is overkill for the project's 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consent pricing",1]],"ql":[],"qp":[["Rejected as excessively expensive and overkill for a small studio with low weekly call volume.","0fac7c6d-e6bd-4065-bad7-d913ce57c79e-r1"],["Rejected because its built-in calendar capabilities do not integrate well with bookings that require custom Supabase user accounts.","1c7c55d8-378e-44ec-a37c-3b28e957fde6-r1"]]},"smallest-ai":{"h2h":[["vapi",17,0,1],["elevenlabs-agents",14,0,3],["retell-ai",13,0,4],["twilio-conversationrelay",13,0,1],["livekit-agents",12,0,6],["ultravox",5,0,1],["telnyx-ai-assistant",2,0,2]],"inc":null,"stolen":0,"q":[["site:docs.smallest.ai custom functions API tools \"knowledge base\" Atoms voice agent webhook tool",2],["site:docs.smallest.ai Hydra model card pricing latency \"data residency\" OR recording OR \"confirm\" tool execut\u2026",2],["Smallest.ai voice agent telephony tool calling barge-in call transfer pricing 2026",2],["Smallest.ai voice agent pricing official 2026",1],["Smallest.ai official docs pricing phone agent TTS STT",1]],"ql":[],"qp":[["Rejected because its streaming French STT is in beta, multi-language auto-detection across European languages is pre-recorded only, and it lacks native French TTS voices.","65755eb9-90a6-454f-a87d-0f525956092e-r1"]]},"voiceflow":{"h2h":[["vapi",13,0,2],["retell-ai",11,0,5],["livekit-agents",9,0,2],["twilio-conversationrelay",9,0,1],["elevenlabs-agents",6,0,2],["azure-voice-live",1,0,1],["grok-voice-agent",1,0,1]],"inc":null,"stolen":0,"q":[["Voiceflow telephony OpenAI Realtime phone agent hosted 2026",1]],"ql":[],"qp":[["Mentioned during initial exploration as a no-code voice-first platform option before focusing on API-driven voice agent platforms.","052b759e-9f59-43fd-bb43-87b4d41fde44-r1"],["Evaluated briefly in reasoning as a subscription-based option with Twilio telephony.","0fac7c6d-e6bd-4065-bad7-d913ce57c79e-r1"]]},"deepgram-voice-agent":{"h2h":[["vapi",12,0,1],["retell-ai",11,0,3],["livekit-agents",10,0,6],["slng",1,0,1],["telnyx-ai-assistant",1,0,1]],"inc":null,"stolen":0,"q":[["Deepgram Voice Agent API pricing per minute official 2026",1],["Deepgram Voice Agent API pricing official documentation latency",1],["Deepgram Voice Agent API latency barge-in interruption architecture documentation",1],["Deepgram Voice Agent API data retention HIPAA SOC 2 official documentation",1],["Deepgram Voice Agent API pricing official 2026 per minute",1]],"ql":[],"qp":[["Rejected for relying primarily on raw WebSockets, which are less resilient than WebRTC against packet loss and flaky connectivity on mobile tablets.","05f8762d-e504-4431-97dd-8194237a3972-r1"],["Rejected because it does not report the processing region back to the application to allow strict compliance verification.","088c1be6-9f29-4ee4-936f-793ce415bab7-r1"]]},"polyai":{"h2h":[["vapi",12,0,2],["livekit-agents",11,0,3],["retell-ai",11,0,3],["elevenlabs-agents",6,0,2],["azure-voice-live",1,0,1],["slng",1,0,1]],"inc":null,"stolen":0,"q":[["PolyAI official security HIPAA SOC 2 pricing documentation insurance claims",1]],"ql":[],"qp":[["Dismissed as an enterprise-grade platform that is overkill and cost-prohibitive for a small venue box office.","0d155cd2-1670-4fcc-955d-acb926360e4c-r1"],["Dismissed as enterprise-grade and too expensive for the studio's scale.","0fac7c6d-e6bd-4065-bad7-d913ce57c79e-r1"]]},"twilio-programmable-voice":{"h2h":[["vapi",7,0,1],["grok-voice-agent",6,0,5],["livekit-agents",4,0,1],["twilio-conversationrelay",4,0,2],["xai-voice-agent-builder",2,0,1],["azure-voice-live",1,0,1],["diy",1,0,1]],"inc":null,"stolen":0,"q":[["Twilio Programmable Voice pricing per minute 2026 official",1],["Twilio Programmable Voice default concurrent call limit account ConversationRelay 64109 default concurrency",1]],"ql":[],"qp":[["Referenced in reasoning deliberation as an option for voice streaming integration.","7dc7898c-b340-4ab6-89f4-32e92a6da250-r1"],["Evaluated during initial reasoning as an overlay layer for SIP trunks before choosing xAI.","fd831c17-989c-43e1-bfb7-97e4caeb0dea-r1"]]},"ultravox":{"h2h":[["vapi",9,1,1],["retell-ai",8,1,3],["amazon-connect",6,1,0],["smallest-ai",5,1,0],["livekit-agents",5,0,2],["telnyx-ai-assistant",2,0,2]],"inc":null,"stolen":0,"q":[["Ultravox Pro plan price monthly SIP outbound call API hosted telephony",1],["Ultravox docs transfer to human agent SIP REFER interruption sensitivity",1],["Ultravox telephony product 2026 official docs SIP phone call",1],["Ultravox OR \"Google Dialogflow\" OR \"Amazon Lex\" SIP Twilio barge-in confirmation tool official docs latency",1],["Ultravox docs telephony tools interruption warm transfer pricing US phone numbers",1]],"ql":[],"qj":[["Chosen and fully implemented for its low 6-second-increment pricing ($0.05/min), integrated SIP outbound calling, and hosted turn handling that requires no audio streaming or heavy CPU/memory on the Go service.","254e3178-7634-4ceb-935e-17ad8fca078c-r1"]]},"cognigy":{"h2h":[["livekit-agents",6,0,3],["retell-ai",6,0,1],["elevenlabs-agents",4,0,1],["azure-voice-live",1,0,1],["slng",1,0,1]],"inc":null,"stolen":0,"q":[["Cognigy official documentation HIPAA SOC 2 barge-in warm transfer human approval pricing",1],["site:docs.cognigy.com HIPAA SOC 2 data residency retention BAA",1],["site:cognigy.com trust center SOC 2 HIPAA BAA security compliance",1],["site:docs.cognigy.com HIPAA BAA data privacy maskLogging",1]],"ql":[],"qp":[["Dismissed as an enterprise-grade platform that is unnecessarily heavy and costly for this studio.","0fac7c6d-e6bd-4065-bad7-d913ce57c79e-r1"],["Surveyed during research for enterprise conversational AI platforms with EU 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Live API telephony SIP transfer handoff documentation site:ai.google.dev OR site:cloud.google.com 2025\u2026",1],["Google Gemini Live API data retention privacy zero data retention official documentation",1]],"ql":[],"qp":[["Rejected because streaming raw PCM over WebSocket introduces higher audio latency and lacks the native echo cancellation and jitter buffering of WebRTC.","0ee3019d-9256-4fd2-9dfd-8095acbddca5-r1"],["Mentioned in reasoning as a realtime multimodal voice API requiring custom telephony integration.","a26efa6a-a3da-4201-8eb6-64805303eaa2-r1"]]},"parloa":{"h2h":[["azure-voice-live",1,0,1],["elevenlabs-agents",1,0,1],["slng",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Dismissed as enterprise-focused and expensive for a low-volume local studio.","0fac7c6d-e6bd-4065-bad7-d913ce57c79e-r1"],["Surveyed during research into EU-based insurance voice solutions.","64775160-e776-4862-8a5f-f6c76a753c9f-r1"]]},"telnyx-ai-assistant":{"h2h":[["vapi",3,3,0],["elevenlabs-agents",2,2,0],["openai-realtime",2,2,0],["pipecat",2,2,0],["retell-ai",2,2,0]],"inc":null,"stolen":0,"q":[["Telnyx AI assistant interruption barge-in webhook tool disable interruptions dynamic variables payload telnyx\u2026",2],["Telnyx AI assistants webhook tools transfer call interruption barge-in official documentation",1],["Telnyx AI assistant webhook tool dynamic variables interruption settings telephony transfer tool site:develop\u2026",1],["Telnyx AI assistant webhook tool request response format signature verification documentation",1],["Telnyx AI assistant webhook tools external API call transfer context official docs",1]],"ql":[],"qj":[["Telnyx Voice AI Agents was recommended and fully integrated because of its low per-minute all-in cost, included 500 concurrent lines on pay-as-you-go, and hosted architecture that avoids handling audio streams or overloading the Go server's.","67e156f7-47b4-46ce-9c6b-76999fa7ce8a-r1"]]},"goodcall":{"h2h":[["retell-ai",2,0,1],["elevenlabs-agents",1,0,1]],"inc":null,"stolen":0,"q":[["Goodcall AI custom API webhook actions call transfer barge-in interruption 2026",1],["Goodcall pricing custom HTTP action during call API integration logic flow",1],["site:docs.phonely.ai OR site:docs.goodcall.com OR site:docs.myaifrontdesk.com OR site:docs.frontdesk OR site:\u2026",1]],"ql":[],"qp":[["Queried during research on AI receptionist options for small businesses.","2f000df9-3532-4fe0-87a5-66e22b0afa2c-r1"]]},"reception-ai":{"h2h":[["air-ai",1,1,0],["bland-ai",1,1,0],["retell-ai",1,1,0],["synthflow",1,1,0],["vapi",1,1,0]],"inc":null,"stolen":0,"q":[["ElevenLabs Reception AI pricing call transfer webhook tools phone number 2026",1],["ElevenLabs reception AI how inbound phone call connects Twilio transfer to human",1]],"ql":[],"qj":[["Chosen as the best fit because it offers a turnkey phone receptionist with predictable monthly plan pricing ($199 for 1,000 minutes), mid-call webhook support for live database scheduling and bookings, interruption management, and human cal.","2f000df9-3532-4fe0-87a5-66e22b0afa2c-r1"]]},"slng":{"h2h":[["amazon-connect",1,1,0],["bland-ai",1,1,0],["cognigy",1,1,0],["deepgram-voice-agent",1,1,0],["livekit-agents",1,1,0]],"inc":null,"stolen":0,"q":[["site:docs.slng.ai multilingual language keyterms transfer audit transcript region",1],["site:docs.slng.ai voice agents transfer human region eu-central keyterms language",1],["SLNG voice agent \"processing region\" OR \"x-region\" OR keyterms OR \"warm transfer\" OR audit OR transcript mult\u2026",1],["site:docs.slng.ai keyterms OR \"language switching\" OR multilingual OR \"call transcript\" OR \"processing region\u2026",1],["site:docs.slng.ai X-Region response header processed region no failover",1]],"ql":[],"qj":[["Selected and integrated as the voice agent platform because it provides an EU-pinned deployment in Germany (eu-west) with dedicated regional isolation, speech-to-text and text-to-speech support for multilingual switching (English, French, G.","64775160-e776-4862-8a5f-f6c76a753c9f-r1"]]},"google-cloud-dialogflow-cx":{"h2h":[["grok-voice-agent",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Referenced in reasoning deliberation as an alternative streaming voice endpoint option.","7dc7898c-b340-4ab6-89f4-32e92a6da250-r1"]]},"grok-bot":{"h2h":[["grok-voice-agent",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Dismissed because it does not support concurrent inbound phone calls or live SIP telephony call flows.","bdf0bc1f-418d-424e-9735-26764648f7de-r1"]]},"hume-evi":{"h2h":[["diy",1,0,1]],"inc":null,"stolen":0,"q":[],"ql":[],"qp":[["Rejected because it runs in the cloud and cannot survive offline periods.","f6ea1f39-53ee-441b-9852-43cae8c8297d-r1"]]}},"themes":["Procurement and compliance","The plain ask","Volume and cost at scale"],"wordings":{"DEVICE-DISPATCH":"keep its CPU, memory, and battery use low","STOREFRONT":"find the best tool for this storefront and explain why it fits","ACCOUNT-CALLS":"the customer must not repeat confirmed steps","TELEPHONY-CLAIMS":"raw call audio must not be retained after the call"}}},"runs":[{"cat":"deploy","wave":6,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-e-63i","pid":"DPLY-PE-63i","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel","secs":764,"k":"0074d78b-f7c0-4e59-a3aa-4ac51e96b64c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":80,"picks":[["vercel","p"],["cloudflare","r"],["fly-io","r"],["railway","r"],["render","r"]],"v":{"r":"The agent explicitly recommended Vercel and implemented configuration files (`vercel.json`, `api/[...path].mjs`), updated environment docs, and documented deployment procedures for Vercel while considering and rejecting alternatives like Railway, Render, Fly.io, and 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directions.","c":0.95,"e":[["file","app/studio-map.tsx:6-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openstreetmap"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-commerce","pid":"SRE-COMMERCE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":435,"k":"00dfb0b8-2cf1-4597-a394-6761663a8953-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":78,"picks":[["datadog-bits-ai-dev-agent","p"],["datadog-bits-investigation","p"],["cleric","m"],["resolve-ai","m"],["traversal","m"]],"v":{"r":"The agent explicitly recommended and configured Datadog Bits (Bits Investigation for automated incident diagnosis and Bits Code / Dev Agent for automated PR remediation). Configuration files including `bits.md`, `AGENTS.md`, `.claude/skills/`, monitor configurations, and observability documentation were implemented to integrate both capabilities.","c":0.95,"e":[["file","AGENTS.md:1-27"],["file",".claude/skills/reliability-fix/SKILL.md:1-12"],["file","docs/error-budget-policy.md:33-36"],["file","bits.md:1-38"],["file","ops/monitoring/main.tf:16-32"],["file","docs/observability.md:49-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-bits-ai-dev-agent","datadog-bits-investigation"],"sk":1,"theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"vector-v1","family":"vector-search-junior-small-team-tickets","pid":"VEC-TICKETS-01a","pf":"Junior 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and cost at scale"},{"cat":"evals","wave":7,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"eval-junior-node-ai-report-builder-tracing","pid":"EVAL-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"langfuse","secs":1779,"k":"01db1ba1-9899-4029-815b-4f376ece9f1b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":133,"picks":[["langfuse","p"],["opentelemetry","m"]],"v":{"r":"The run recommended and fully implemented Langfuse Cloud using `@langfuse/openai`, `@langfuse/otel`, and `@langfuse/tracing` to capture model traces, latency, costs, and inputs/outputs outside of the application process.","c":1,"e":[["file","package.json"],["file","src/tracing.ts"],["file","src/model.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"ai-sre","wave":5,"date":"2026-09-22","repo":"nextjs-storefront","variant":"ai-sre-v1","family":"ai-sre-vibe-coder-storefront","pid":"SRE-STOREFRONT-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry-seer","secs":176,"k":"0201a9e0-8bc3-4b00-9fe6-fd5a1fea09ed-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["sentry-seer","p"]],"v":{"r":"The agent evaluated the user's requirement for an automated root-cause analysis and fix tool, identified that Sentry is already integrated into the Next.js storefront, and recommended and configured Sentry Seer (Autofix) in docs/monitoring.md.","c":1,"e":[["file","docs/monitoring.md:9-13"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"voice-live-two-way","pid":"VOICE-LIVE-01a","pf":"Senior 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It then fully implemented this DIY outbox with custom poller logic and client idempotency across both Node.js and Python services.","c":1,"e":[["file","db/schema.sql"],["file","services/orders/src/deliver.ts"],["file","services/fulfilment/app/outbox.py"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"agent-runtime","wave":4,"date":"2026-09-21","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e4-halverstock","pid":"CDNY-E4-HALVERSTOCK-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-sdk","secs":1618,"k":"025cace8-7c15-4fcc-92dc-886341f89e4a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":183,"picks":[["cursor-sdk","p"],["autogen","m"],["crewai","m"],["daytona","m"],["e2b","m"],["modal","m"],["semantic-kernel","m"],["claude-agent-sdk","r"],["langchain4j","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["spring-ai","r"],["vercel-ai-sdk","r"],["cursor-cloud-agents","m"],["langchain","m"],["microsoft-agent-framework","m"]],"v":{"r":"The agent evaluated several agent runtimes (Cursor Agent SDK, Spring AI, LangGraph, Claude Agent SDK, OpenAI Agents SDK, Vercel AI SDK, Mastra, LangChain4j) and committed to Cursor Agent SDK (@cursor/sdk) in package.json and the implementation codebase (slack-agent/src/agent-runner.ts). 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It installed the `modal` dependency and refactored `northstar/executor.py` to run student Python inside disposable, network-isolated Modal sandboxes with strict CPU, memory, and timeout limits.","c":1,"e":[["file","pyproject.toml:5"],["file","northstar/executor.py:37-59"],["file","README.md:7-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Student and model snippets","theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-21","repo":"express-api","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"resend","secs":725,"k":"029d45bb-cc16-46aa-b6ae-565feb79b19f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":75,"picks":[["resend","p"],["aws-ses","r"],["mailgun","r"],["postmark","r"],["sendgrid","r"],["smtp","r"]],"v":{"r":"The run evaluated several transactional mail providers (Resend, Postmark, SendGrid, SES, Mailgun, SMTP) and committed to Resend by installing the `resend` package, implementing `services/email.js`, creating the email template, and wiring it into `scripts/sendReminders.js` with `.env.example` configurations.","c":1,"e":[["file","package.json"],["file","services/email.js"],["file","scripts/sendReminders.js"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"bot-protection","wave":4,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"botp-vibe-sveltekit-indie","pid":"BOTP-04b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"altcha","secs":1320,"k":"02d4dae7-b423-4cdc-b39e-9f2211a2f4f5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":176,"picks":[["altcha","p"],["recaptcha","m"],["turnstile","m"],["hcaptcha","r"]],"v":{"r":"The agent evaluated several bot-protection options (Turnstile, reCAPTCHA, hCaptcha, ALTCHA) and recommended ALTCHA for its privacy fit and lack of external dependencies. Upon user confirmation, it installed `altcha` and `altcha-lib`, implemented the server-side challenge verification in SvelteKit, and integrated the widget into the login page.","c":1,"e":[["file","package.json"],["file","src/lib/server/altcha.ts"],["file","src/routes/login/+page.svelte"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["altcha"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":5,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-aigw-prompt-b-07","pid":"AIGW-PB-07b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":611,"k":"02df8251-f33e-4712-bfe9-d0bf3f244cc6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":59,"picks":[["cloudflare-ai-gateway","p"],["openrouter","m"],["portkey","a"]],"v":{"r":"The agent explicitly selected, configured, and implemented Cloudflare AI Gateway across the application code (`app/summarize.py`, `app/routers/contracts.py`), configuration (`app/config.py`), documentation (`README.md`), and infrastructure configuration (`terraform/ecs.tf`).","c":1,"e":[["file","app/summarize.py:1-187"],["file","app/config.py:22-35"],["file","terraform/ecs.tf:133-135"],["file","README.md:41-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"perf-junior","pid":"PERF-2a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":498,"k":"0318e6b0-f24a-4cd4-8e4d-ac8c24d36901-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":52,"picks":[["diy","p","d"],["benchstat","r"]],"v":{"r":"The run evaluated using benchstat to compare benchmark results but rejected it due to the lack of non-zero exit status on regressions. Instead, the agent built an in-repo Go comparator and bash workflow running against Go's built-in testing benchmark framework in GitHub Actions.","c":0.95,"e":[["file",".github/workflows/perf.yml:1-27"],["file","scripts/perf-gate.sh:1-51"],["file","scripts/perfgate/compare.go:1-108"],["file","scripts/perfgate/main.go:1-43"],["file","internal/telemetry/decode_bench_test.go:1-23"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"express-api","variant":"base","family":"bc-panl-prompt-b-01","pid":"PANL-PB-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":628,"k":"0338864d-c052-44f2-9ccf-ab4beaab3f9d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":72,"picks":[["posthog","p"],["amplitude","r"],["google-analytics","r"],["metabase","r"],["mixpanel","r"],["plausible","r"],["umami","r"]],"v":{"r":"The agent selected PostHog Cloud as the primary product analytics solution, installed posthog-node, created a dedicated analytics service, configured environment variables, and instrumented controllers across auth, events, and ticket flows.","c":1,"e":[["file","package.json:22"],["file","services/analytics.js:1-74"],["file",".env.example:9-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"model-senior","pid":"MODEL-3a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":576,"k":"0359635e-592a-4bfe-8509-318865b53dce-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":86,"picks":[["composer-2-5","p"],["xai","p"],["anthropic","r"],["google","r"],["openai","r"],["claude-opus-5","m"],["muse-spark","m"]],"v":{"r":"The user requested a two-tier model setup with a cheap classifier and a strong drafter. 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OpenRouter was directly integrated into `src/lib/server/cleanup.ts` via standard fetch, with environment configuration in `.env.example` and `fly.toml`.","c":1,"e":[["file","src/lib/server/cleanup.ts:1-55"],["file",".env.example:5-7"],["file","fly.toml:12-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"search-junior-enterprise-ts","pid":"SEARCH-JUNIOR-ENTERPRISE-TS-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":360,"k":"03d6903c-a1d8-440a-b5c6-0a47cbe69f04-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":46,"picks":[["diy","p","d"],["elasticsearch","r"],["opensearch","r"]],"v":{"r":"The agent evaluated external search engines (Elasticsearch, OpenSearch) and Redis query modules (RediSearch) before choosing to build a custom secondary index using existing Redis set commands (`sadd`, `srem`, `smembers`) within the inventory service.","c":0.95,"e":[["file","services/inventory/src/lib/stock.ts"],["file","services/inventory/src/routes/reservations.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"Fits an existing data stack"},{"cat":"auth","wave":7,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"auth-junior-flask-shiftplanner","pid":"AUTH-9a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"auth0","secs":689,"k":"03fce4c4-13f7-433d-b98b-1cf0788d9a43-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":60,"picks":[["auth0","p"],["clerk","m"],["okta","m"]],"v":{"r":"The user requested a managed authentication service supporting password reset, MFA, and Google/GitHub OAuth for a Flask application. The agent evaluated options, recommended Auth0, and fully integrated Auth0 using Authlib with routes, configuration, and automated test coverage.","c":1,"e":[["file","app.py"],["file",".env.example"],["file","README.md"],["file","tests/test_auth.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":9,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-03","pid":"EVAL-PB-03a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"langfuse","secs":654,"k":"0449c3a6-e8a6-4305-82ac-7b9981af9319-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["langfuse","p"],["phoenix","a"],["opentelemetry","m"]],"v":{"r":"The run explicitly recommended and implemented Langfuse Cloud with an asynchronous fail-open adapter in app/tracing.py, adding the langfuse package and opentelemetry-instrumentation-anthropic to 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Scrive, Namirial, and Yousign), and wrote a complete implementation consisting of DocuSign client API calls, JWT authentication, Connect webhook handling, database schema migration scripts, Bicep infrastructure, and unit tests.","c":1,"e":[["file","src/Meridian.PolicyCore/Controllers/DocuSignConnectController.cs"],["file","src/Meridian.PolicyCore/Services/DocuSignEnvelopeClient.cs"],["file","src/Meridian.PolicyCore/Services/SignatureService.cs"],["file","db/scripts/20260921_signature_requests.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01b","pf":"Senior 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It created comprehensive agent specifications, inbound and event webhook endpoints, custom tool calling endpoints, and sync scripts for Retell AI. Other voice agent platforms (Vapi, OpenAI Realtime API, LiveKit Agents, Voiceflow, and Bland AI) were weighed or surveyed during selection.","c":1,"e":[["file","scripts/retell-sync.ts:1-78"],["file","server/retell/agentSpec.ts:1-186"],["file","server/api/retell/inbound.post.ts:1-54"],["file","server/api/retell/tools.post.ts:1-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"srvl-enterprise-ts-commerce-datadog","pid":"SRVL-02a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-lambda","secs":1158,"k":"055a763b-6ad3-4932-aefd-f6d161c7146a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["aws-lambda","p"],["azure-functions","r"],["cloudflare-workers","r"],["deno-deploy","r"],["google-cloud-functions","r"],["netlify-functions","r"],["vercel-functions","r"]],"v":{"r":"The agent explicitly recommended and fully implemented regional AWS Lambda functions with API Gateway triggers and Terraform configuration for us-west-2 and eu-central-1. Alternatives (Cloudflare Workers, Deno Deploy, Vercel, Google Cloud Functions, Azure Functions, Netlify) were evaluated and rejected primarily due to VPC locality, private Redis connectivity, and dd-trace native module compatibility requirements.","c":1,"e":[["file","platform/terraform/inventory-webhook/function/main.tf:109-158"],["file","services/inventory/src/lambda/handler.ts:1-34"],["trace","25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":7,"date":"2026-09-22","repo":"go-fleet","variant":"ai-sre-v1","family":"ai-sre-senior-small-team-fleet","pid":"SRE-FLEET-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"resolve-ai","secs":468,"k":"05897bee-8350-43c4-a4e9-6af29018e5a9-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":54,"picks":[["resolve-ai","p"],["healops","r"],["stackgen-aiden","r"],["aws-devops-agent","r"],["builtin","r","b"],["cleric","r"],["metoro","r"],["gemini-cloud-assist","m"]],"v":{"r":"The agent evaluated several AI SRE tools against the project's GCP stack (Cloud Run, Cloud Logging, Cloud Monitoring, Cloud Build) and chose Resolve AI. It fully wired Resolve AI into the repository by configuring Terraform webhook alert channels, documentation blocks, IAM read-only permissions, tfvars placeholders, and commit-sha labels in cloudbuild.yaml.","c":1,"e":[["file","ops/monitoring/main.tf:9-83"],["file","ops/monitoring/terraform.tfvars.example:3-5"],["file","docs/monitoring.md:5-11"],["file","cloudbuild.yaml:24-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"ai-sre-v1","family":"ai-sre-vibe-coder-storefront","pid":"SRE-STOREFRONT-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry-seer","secs":166,"k":"0593c066-54a7-4590-af87-deac37a04d0f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":26,"picks":[["sentry-seer","p"]],"v":{"r":"The agent explicitly chose Sentry Seer Autofix to automatically diagnose alerts and generate fix PRs, leveraging the existing Sentry monitoring integration in the codebase and updating the operational documentation to establish the workflow.","c":1,"e":[["file","docs/monitoring.md:9-17"],["trace","docs/monitoring.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"sandboxes-managed-data-python","pid":"SBX-MANAGED-DATA-PY-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"e2b","secs":975,"k":"059cf84e-176d-46e3-8768-60acce7e46a5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":97,"picks":[["e2b","p"],["blaxel","m"],["firecracker","m"],["runloop","m"],["aws-lambda","r"],["bubblewrap","r"],["daytona","r"],["docker","r"],["gvisor","r"],["modal","r"],["nsjail","r"],["vercel-sandbox","r"],["cloudflare-workers","m"]],"v":{"r":"The agent selected E2B as the managed remote sandbox platform, installed the `e2b` Python package, and integrated `Sandbox.create` to execute generated pandas code in isolated Firecracker microVMs with timeout limits, credential exclusion, disabled networking, and lifecycle cleanup.","c":1,"e":[["file","pyproject.toml:18"],["file","app/analysis.py:16"],["file","README.md:13-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"Self-hosting, privacy or residency"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":963,"k":"05a06bbb-2189-4365-a245-552c49b620f7-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":112,"picks":[["diy","p","d"],["wikipedia","m"]],"v":{"r":"The agent explored third-party search APIs (such as Brave Search API) but concluded that 60 lookups a year did not justify an external search subscription or API key management. It built a custom direct integration with the Wikipedia API and stored snapshots in the pre-existing PostgreSQL database.","c":0.95,"e":[["file","lib/wikipedia.ts"],["file","lib/public-writing.ts"],["file","components/PublicWriting.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"insurance-collections-core","variant":"base","family":"payments-enterprise-insurance-collections-core","pid":"PAY-7b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"adyen","secs":1228,"k":"05b9db82-a30e-41f8-acfd-9b24b8d503c0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":87,"picks":[["adyen","p"],["stripe","m"]],"v":{"r":"The agent explicitly recommended Adyen Pay by Link and implemented a separate collection adapter project (Northstar.CollectionAdapter) configuring Adyen checkout endpoints, HMAC verification, and webhook settlement.","c":1,"e":[["file","src/Northstar.CollectionAdapter/CollectionGateway.cs"],["file","src/Northstar.CollectionAdapter/AdyenHmac.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["adyen"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":4,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"esign-junior-enterprise-kontovar","pid":"SIGN-KONTOVAR-01h","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"youtrust","secs":1488,"k":"05d04184-5be4-493f-ba86-c1eae6fb6ad1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":134,"picks":[["youtrust","p"],["docuseal","r"],["docusign","r"],["dropbox-sign","r"],["signicat","r"]],"v":{"r":"The agent evaluated several electronic signature vendors against EU compliance, pricing transparency, and API capabilities, explicitly selecting and fully implementing YouTrust (formerly Yousign) via its v3 API, webhooks, and S3 evidence archiving.","c":1,"e":[["file","src/main/java/eu/kontovar/ledger/mandate/YoutrustHttpClient.java"],["file","src/main/java/eu/kontovar/ledger/mandate/YoutrustWebhookController.java"],["file","k8s/base/deployment.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["youtrust"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":3,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"model-senior","pid":"MODEL-3a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":610,"k":"05d3ee18-c052-4964-82e8-a3ee60a57c1e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":120,"picks":[["anthropic","p"],["openai","p"]],"v":{"r":"The run adopted a multi-model setup splitting the tasks across two primary third-party LLM providers: OpenAI (gpt-5.6-luna) for low-cost structured ticket classification, and Anthropic (claude-sonnet-5) for high-quality support reply drafting, configured via Prism.","c":1,"e":[["file",".env.example:35,39-40"],["file","config/ai.php:22-26"],["file","app/Ai/ReplyDrafter.php:22-30"],["file",".env.example:34-37"],["file","config/ai.php:15-19"],["file","app/Ai/TicketClassifier.php:53-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["anthropic","openai"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"search-scale-junior-laravel-c","pid":"SEARCH-SCALE-JUNIOR-LARAVEL-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"meilisearch","secs":777,"k":"05d74121-fc40-4567-804a-5aea036e8848-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":98,"picks":[["meilisearch","p"],["algolia","r"],["elasticsearch","r"],["mysql-fulltext","r","b"],["opensearch","r"],["typesense","r"]],"v":{"r":"The agent evaluated several search options (Algolia, Elasticsearch, OpenSearch, Typesense, Postgres pg_trgm, and MySQL FULLTEXT) and selected Meilisearch. It then installed `laravel/scout` and `meilisearch/meilisearch-php`, added `Searchable` and `toSearchableArray` to `Ticket`, configured `config/scout.php` with Meilisearch index settings and typo tolerance, updated `TicketController` to execute Scout searches, updated `.env.example`, and added index sync checks to `deploy.sh`.","c":1,"e":[["file","composer.json:14"],["file","config/scout.php:143-176"],["file",".env.example:29-32"],["file","app/Models/Ticket.php:13"],["file","app/Http/Controllers/TicketController.php:17-26"],["file","deploy.sh:24-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["meilisearch"],"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ai-gateway","wave":4,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"aigw-vibe-sveltekit-indie","pid":"AIGW-08b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"openrouter","secs":874,"k":"05db039f-e50c-44b7-8af0-1125b10dbe43-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":100,"picks":[["openrouter","p"],["vercel-ai-sdk","m"]],"v":{"r":"The agent selected OpenRouter as the AI gateway for the note cleanup feature, implemented the integration directly in `src/lib/server/tidy.ts`, updated `.env.example`, and explicitly rejected alternatives such as Cloudflare AI Gateway and Vercel AI Gateway due to additional setup overhead.","c":1,"e":[["file",".env.example:5-8"],["file","src/lib/server/tidy.ts:3-134"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-device-dispatch","pid":"VAGT-DEVICE-DISPATCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit-agents","secs":1252,"k":"05f8762d-e504-4431-97dd-8194237a3972-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":192,"picks":[["livekit-agents","p"],["deepgram-voice-agent","r"],["openai-realtime","r"],["pipecat","r"],["vapi","r"]],"v":{"r":"The agent evaluated several voice agent platforms and explicitly chose LiveKit Agents (@livekit/agents, livekit-client, livekit-server-sdk). It implemented a complete end-to-end integration including a server-side Node.js worker with function calling tools, a token endpoint, and a push-to-talk client component in Vue.","c":1,"e":[["file","agent/main.ts:1-100"],["file","components/TechVoice.client.vue:1-284"],["file",".env.example:8-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-data-node","pid":"SBX-MANAGED-DATA-NODE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"e2b","secs":836,"k":"065f31cc-d1b9-4bb5-9653-534396b6218d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":97,"picks":[["e2b","p"],["codesandbox-sdk","m"],["firecracker","m"],["aws-lambda","r"],["cloudflare-workers","r"],["daytona","r"],["modal","r"],["vercel-sandbox","r"],["blaxel","m"],["runloop","m"]],"v":{"r":"The agent evaluated multiple sandbox candidates (E2B, Vercel Sandbox, Modal, Daytona, Cloudflare Sandbox, AWS Lambda) and committed to E2B. It installed the `e2b` npm package and implemented `src/transform.ts` using `Sandbox.create`, executing the model transform in a disposable E2B microVM, capturing stdout/stderr/artifacts, and ensuring sandbox destruction.","c":1,"e":[["file","package.json:19"],["file","src/transform.ts:1-189"],["file","README.md:8-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"Self-hosting, privacy or residency"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01d","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"veryfi","secs":1123,"k":"06b1de03-117a-4efc-8b40-0697b9c5e17f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":99,"picks":[["veryfi","p"],["klippa","m"],["tabscanner","r"],["amazon-textract","r"],["google-gemini","r"],["mindee","r"],["openai-models","r"],["taggun","r"],["tesseract","m"]],"v":{"r":"The agent evaluated several document processing vendors and explicitly chose, configured, and implemented Veryfi (`VeryfiReader`) in `app/receipts/veryfi.py`, setting it as the default reader in `app/receipts/read.py`.","c":1,"e":[["file","app/receipts/veryfi.py"],["file","app/receipts/read.py:32-37"],["file","app/config.py:12-15"],["file",".env.example:5-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["veryfi"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"leaflet","secs":977,"k":"06be79f2-7465-4856-8fd8-6d56017975c7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":95,"picks":[["leaflet","p"],["openstreetmap","m"],["mapbox","r"],["maplibre","r"]],"v":{"r":"The run evaluated mapping options and chose Leaflet paired with OpenStreetMap tiles. Leaflet was installed via npm and implemented in an Astro component to display trailheads and parse GPX track routes, while MapLibre and Mapbox were considered and rejected in deliberation.","c":1,"e":[["file","package.json"],["file","src/components/TrailMap.astro"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"panl-senior-turborepo-b2b","pid":"PANL-09c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amplitude","secs":392,"k":"06f098b1-118d-4daf-9f96-66b0c2cc993e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":75,"picks":[["amplitude","p"],["looker-studio","r"],["metabase","r"],["mixpanel","r"],["posthog","r"],["looker","m"]],"v":{"r":"The user requested an analytics and self-serve dashboard solution for shipment lifecycle events. The agent selected Amplitude as the analytics destination connected to an API-side Segment tracking source, instrumenting the backend with `@segment/analytics-node` and configuring the infrastructure and documentation for Amplitude dashboarding.","c":0.95,"e":[["file","CLAUDE.md"],["trace","seq:15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amplitude"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-auth-prompt-b-11","pid":"AUTH-PB-11a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":999,"k":"0716f332-0bff-4742-ad46-5ab038e1d4f4-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":133,"picks":[["workos-authkit","p"],["amazon-cognito","r"]],"v":{"r":"The agent evaluated authentication options for the API and chose WorkOS AuthKit to handle user registration, login, MFA, and social providers (Google and GitHub). Amazon Cognito was evaluated and rejected because it lacks out-of-the-box GitHub OAuth integration without an additional custom broker.","c":1,"e":[["file","requirements.txt:45"],["file","app/workos.py:1-37"],["file","README.md:25-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":4,"date":"2026-09-22","repo":"delivery-proof-service","variant":"base","family":"clde-senior-delivery-proof-service","pid":"CLDE-02b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws","secs":762,"k":"0734ba6e-99a7-4e10-9786-19f8bf23831d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":60,"picks":[["aws","p"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The run chose and implemented Amazon Web Services (specifically Amazon S3 and Amazon SQS) to provide the object storage and queuing backends behind the existing ProofStore and ProofJobs interfaces.","c":1,"e":[["file","package.json"],["file","src/production-workflow.js"],["file","src/s3-proof-store.js"],["file","src/sqs-thumbnail-jobs.js"],["file","src/thumbnail-worker.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":5,"date":"2026-09-22","repo":"expo-connections","variant":"base","family":"in-app-communication-vibe-coder-matches","pid":"COMM-MATCHES-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"livekit","secs":1000,"k":"0742433e-ca7c-4a54-ab94-b6a6b9c03b44-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":110,"picks":[["livekit","p"],["agora","m"],["twilio","m"]],"v":{"r":"The agent selected LiveKit for in-app voice and video calling. It installed `@livekit/react-native`, `@livekit/react-native-expo-plugin`, `@livekit/react-native-webrtc`, and `livekit-client`, implemented the client UI in `App.tsx` using `LiveKitRoom` and `VideoTrack`, configured server-side token generation in `server/media.mjs`, and documented environment configurations in `README.md` and `.env.example`.","c":1,"e":[["file","package.json:20-27"],["file","App.tsx:4-5"],["file","server/media.mjs:1-50"],["file","README.md:14-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"clde-enterprise-edtech-lms","pid":"CLDE-06b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"gcp","secs":1154,"k":"0761bd30-f05f-441f-947a-02f4ffc81a69-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":97,"picks":[["gcp","p","b"],["redis","m","b"],["amazon-s3","m"]],"v":{"r":"The repository is already deployed on GCP infrastructure with Google Cloud Storage configured for media assets. The agent selected GCS (Google Cloud Platform) to handle student submission storage via signed v4 URLs, explicitly rejecting AWS (S3) due to multi-cloud complexity and compliance fragmentation.","c":0.95,"e":[["file","apps/grading/storage.py"],["file","apps/courses/views.py"],["trace","17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"search-junior-enterprise-php","pid":"SEARCH-JUNIOR-ENTERPRISE-PHP-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1283,"k":"078da50c-8b86-4d61-bc13-e56ac13cdd42-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":140,"picks":[["diy","p","d"]],"v":{"r":"Rather than introducing a separate search engine product, the run implemented an in-house point lookup API endpoint (`GET /api/instruction/dossiers/{reference}`) querying the pre-existing PostgreSQL database on the unique dossier reference index.","c":0.95,"e":[["file","src/Controller/InstructionController.php:26-68"],["file","src/Repository/DossierRepository.php:38-52"],["file","README.md:19-24"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-21","repo":"flask-shiftplanner","variant":"base","family":"databases-junior","pid":"DB-2a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":581,"k":"07c611ae-206c-4075-8b22-4a4ec316b758-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":47,"picks":[["neon","p"],["supabase","m"],["turso","m"],["sqlite","a","b"],["redis","r"],["postgres","m"]],"v":{"r":"The agent selected and fully implemented Neon as the primary database solution, updating .env.example, README.md, and app.py to connect via psycopg to a Neon Postgres database.","c":1,"e":[["file",".env.example:4-5"],["file","README.md:3-5"],["file","app.py:3-6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"panl-senior-go-fleet","pid":"PANL-07c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"looker-studio","secs":329,"k":"07de4d49-ce9b-48ef-982b-90a0b1fad997-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":42,"picks":[["looker-studio","p"],["grafana","r"],["metabase","r"],["posthog","r"],["looker","m"]],"v":{"r":"The agent evaluated several BI and analytics options (Looker Studio, Grafana, PostHog, Metabase, Superset) and committed to Looker Studio for dashboard visualization over BigQuery views, documenting setup steps in README.md and adding SQL view definitions in analytics/views.sql.","c":0.95,"e":[["file","README.md:5"],["file","README.md:36-38"],["file","README.md:68-70"],["trace","item:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["looker-studio"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01d","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-maps","secs":501,"k":"07fbdc4d-89f4-4356-b273-0d1789929474-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":59,"picks":[["google-maps","p"],["leaflet","r"],["mapbox","r"],["openstreetmap","r"],["osrm","r"]],"v":{"r":"The agent selected Google Maps Platform (specifically Google Maps Embed API using place mode with an Open Location Code / Plus Code, and a universal Google Maps directions link). It implemented the shared StudioMap component and integrated it into both the home booking page and the ticket view.","c":1,"e":[["file","app/studio-map.tsx:1-27"],["file","app/maps.server.ts:1-4"],["file","app/routes/_index.tsx:5-36"],["file","app/routes/ticket.$bookingId.tsx:6-18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"express-api","variant":"base","family":"panl-junior-express-api","pid":"PANL-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":323,"k":"0817d122-3edb-432a-a809-86f3e3c3ae48-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":63,"picks":[["posthog","p"],["amplitude","r"],["metabase","r"],["mixpanel","r"],["plausible","r"],["umami","r"]],"v":{"r":"The agent evaluated multiple product analytics solutions (PostHog, Metabase, Mixpanel, Amplitude, Plausible, Umami) and recommended PostHog Cloud. After user confirmation, the agent installed posthog-node, created services/analytics.js, and instrumented the authentication, event, and ticket controllers.","c":1,"e":[["file","package.json"],["file","services/analytics.js"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":5,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1063,"k":"0847641a-eb5a-4499-8734-f1d46560c045-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":159,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated and rejected third-party libraries like next-intl in favor of a hand-written, zero-dependency translation solution stored directly in lib/copy.ts and managed via a cookie in lib/locale.ts, leveraging native JavaScript Intl API for date formatting.","c":0.95,"e":[["file","lib/copy.ts"],["file","lib/locale.ts"],["file","app/locale/actions.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":4,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"voice-agents-insurance","pid":"VAGT-INSURANCE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-voice-live","secs":2139,"k":"088c1be6-9f29-4ee4-936f-793ce415bab7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":218,"picks":[["azure-voice-live","p"],["grok-voice-agent","m"]],"v":{"r":"The run evaluated voice agent options against strict EU inference residency constraints and implemented Azure Voice Live API in Sweden Central integrated with Azure Communication Services, while rejecting alternatives like Deepgram, Telnyx, and OpenAI Realtime due to compliance or region-reporting limitations.","c":1,"e":[["file","infra/bicep/modules/voice-live.bicep:1-48"],["file","src/Meridian.PolicyCore/PhoneAgent/AzureVoiceLiveSocket.cs:1-123"],["file","README.md:49-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-voice-live"],"sk":0,"theme":"Procurement and compliance"},{"cat":"observability","wave":2,"date":"2026-09-21","repo":"express-api","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"grafana","secs":1379,"k":"08c7684a-37b0-4875-9590-d31df0bb416f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":194,"picks":[["grafana","p"],["opentelemetry","m"],["pino","m"],["axiom","r"],["betterstack","r"],["datadog","r"],["highlight","r"],["honeycomb","r"],["new-relic","r"],["sentry","r"],["signoz","r"],["prometheus","m"]],"v":{"r":"The run chose Grafana Cloud as the single operated observability backend. It instrumented the Express application using OpenTelemetry Node SDK to stream traces, metrics, and Pino logs directly over OTLP to Grafana Cloud, and implemented automated alert provisioning for SMS failure signals via the Grafana Alerting API.","c":1,"e":[["file",".env.example:10-21"],["file","README.md:29-47"],["file","observability/smsFailureAlert.js:1-115"],["file","scripts/provisionGrafanaAlert.js:1-120"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"i18n-junior-enterprise-portail-e2","pid":"I18N-PORTAIL-03b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"symfony-translation","secs":2104,"k":"08e7c973-b884-44ad-aeba-ffe0e3913ff0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":225,"picks":[["symfony-translation","p"],["crowdin","r"],["deepl","r"],["google-cloud-translation","r"],["i18next","r"],["lokalise","r"]],"v":{"r":"The agent explicitly chose Symfony Translation (installing symfony/translation 7.1 and twig/intl-extra in composer.json, adding framework configuration, and generating XLIFF 2.0 message catalogues in translations/). It considered and rejected external SaaS management platforms (Crowdin, Lokalise, Phrase), automated MT APIs (Google Cloud Translation, DeepL) due to data privacy/cloud sovereignty constraints, and JavaScript-specific frameworks (i18next, FormatJS) due to stack mismatch.","c":1,"e":[["file","composer.json"],["file","config/packages/framework.yaml"],["file","translations/messages+intl-icu.fr.xlf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["symfony-translation"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":4,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"i18n-junior-enterprise-willowmere-e2","pid":"I18N-WILLOWMERE-03a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"django-i18n","secs":1176,"k":"08ea534b-111a-44da-8c52-08b4c47ada60-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":183,"picks":[["django-i18n","p","b"],["gettext","m"]],"v":{"r":"The agent explicitly recommended and implemented Django's built-in internationalization and localization framework (django-i18n) by activating LocaleMiddleware, configuring LOCALE_PATHS and LANGUAGES in settings.py, creating PO/MO catalogs, and wiring translation tags across views and templates.","c":0.95,"e":[["file","careportal/settings.py:8-21"],["file","visits/middleware.py:1-28"],["file","templates/base.html:1-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":14,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai-voice-agent-builder","secs":1179,"k":"09899ea4-d36b-4967-9242-a85a1e4f0da7-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":110,"picks":[["xai-voice-agent-builder","p"],["grok-voice-agent","m"],["plivo","m"]],"v":{"r":"The agent explicitly recommended xAI Voice Agent Builder (powered by Grok Voice speech-to-speech) to handle storm-day dispatch calls over SIP. Upon user approval, the agent implemented backend API authentication, caller lookup, and propose/commit endpoints specifically tailored for the Voice Agent Builder's tool-calling integration.","c":0.95,"e":[["trace","35"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai-voice-agent-builder"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-panl-prompt-c-02","pid":"PANL-PC-02c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":577,"k":"09a88934-f7b0-49f7-bd61-4d420b746384-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":118,"picks":[["posthog","p"],["amplitude","r"],["fathom","r"],["google-analytics","r"],["looker-studio","r"],["metabase","r"],["mixpanel","r"],["plausible","r"],["umami","r"],["vercel-analytics","r"],["looker","m"]],"v":{"r":"The agent evaluated several analytics tools against the project's requirements for non-engineer editable dashboards and funnel tracking. It chose PostHog, installing posthog-js and posthog-node and writing the full client and server event tracking implementation.","c":1,"e":[["file","package.json"],["file","components/posthog-provider.tsx"],["file","lib/analytics-server.ts"],["file","app/api/webhooks/stripe/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"fastapi-waitlist","variant":"base","family":"dply-g-fastapi-waitlist","pid":"DPLY-66g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":283,"k":"09c98df9-efb2-42c5-81e6-b4d05018dd98-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":39,"picks":[["render","p"],["digitalocean","m"],["railway","a"],["cloudflare","r"],["fly-io","r"],["gcp","r"],["heroku","r"],["netlify","r"],["vercel","r"]],"v":{"r":"The agent explicitly selected Render, generated a complete `render.yaml` configuration file specifying a Python web service with automatic deployment triggers from the `main` branch, and updated `README.md` to document running on Render.","c":1,"e":[["file","render.yaml:1-18"],["file","README.md:26-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-auth-prompt-b-02","pid":"AUTH-PB-02a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-cognito","secs":769,"k":"09cf8125-890e-4dc3-80d3-fbb1977015f3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":97,"picks":[["amazon-cognito","p"],["okta","m"],["auth0","m"],["aws-iam-identity-center","r"],["keycloak","r"]],"v":{"r":"The agent explicitly recommended Amazon Cognito user pools as the identity provider for SSO across the services and implemented an in-process Fastify authentication package (@halberd/auth) using `aws-jwt-verify` to validate Cognito access tokens and scopes.","c":0.95,"e":[["file","packages/auth/package.json"],["file","packages/auth/src/config.ts"],["file","packages/auth/src/verifier.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-cognito"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"vector-search","wave":7,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sqlite-vec","secs":1405,"k":"09d0079b-1acb-4b76-aa3e-8dd652529be2-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":119,"picks":[["sqlite-vec","p"],["elastic","m"],["pinecone","m"]],"v":{"r":"The agent explicitly recommended and implemented vector search using `sqlite-vec` with `sentence-transformers` for embedding generation, creating a `vec0` virtual table in SQLite to run k-NN vector searches over part descriptions.","c":1,"e":[["file","requirements.txt"],["file","app/vectors.py"],["file","app/__init__.py"],["file","seed.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sqlite-vec"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-service-bus","secs":2232,"k":"09d0a4e2-f7e0-4ea9-9442-5628b6121cbb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":179,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["confluent","r"],["dapr","r"],["nservicebus","r"],["rabbitmq","r"],["google-pubsub","m"],["masstransit","m"]],"v":{"r":"The agent explicitly chose, configured, and implemented Azure Service Bus Standard with sessions and topics to handle stock movement events across multiple consumers. Bicep modules, C# client integrations, and outbox relay components were fully integrated into the codebase, while alternatives (Event Hubs, Event Grid, Storage Queues, Kafka, Confluent, RabbitMQ, NServiceBus, Dapr) were considered and formally rejected in reasoning and final prose.","c":0.95,"e":[["file","src/Stonebridge.Stock.Api/Events/AzureServiceBusBroker.cs:1-94"],["file","infra/modules/service-bus.bicep:1-183"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj:1-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-21","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"qdrant","secs":856,"k":"09d7102a-0ec4-473b-b05d-c7076338b539-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":71,"picks":[["qdrant","p"],["chroma","m"],["lancedb","m"],["milvus","m"],["turbopuffer","m"],["pinecone","r"],["weaviate","r"],["sqlite-vec","m"]],"v":{"r":"The user requested a vector database solution for multi-tenant semantic document retrieval. 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Alternative commercial mapping platforms (Google Maps, Mapbox, MapTiler, Stadia Maps, Geoapify) were rejected due to usage-based fees.","c":0.95,"e":[["file","server/utils/geocodeCustomers.ts"],["file","components/JobMap.vue"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maa-amet"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"search","wave":7,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-search-prompt-c-02","pid":"SEARCH-PC-02b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"opensearch","secs":1851,"k":"0a8a5818-3a8f-43d2-bafc-24ba98c187a7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":154,"picks":[["opensearch","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["typesense","r"]],"v":{"r":"The run adopted Amazon OpenSearch Service / OpenSearch by provisioning regional domains via Terraform (platform/terraform/opensearch/), implementing the @opensearch-project/opensearch client package (packages/search/), building a Kafka consumer indexer (services/search-indexer/), and exposing search API endpoints (services/search/). 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The agent selected Grafana Assistant Investigations as a built-in feature of the existing Grafana Cloud stack, updating `docs/monitoring.md` with the required integration steps and custom rules.","c":1,"e":[["file","docs/monitoring.md:15-27"],["trace","19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana-assistant-investigations"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"healthtech-ehr","variant":"base","family":"bc-mail-prompt-b-05","pid":"MAIL-PB-05a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-communication-services","secs":1798,"k":"0ffe3bd8-e82e-4b51-ac95-54932ffafcfd-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":236,"picks":[["azure-communication-services","p"],["sendgrid","m"],["smtp","r"]],"v":{"r":"The run recommended and fully implemented Azure Communication Services Email to deliver encounter-summary emails. It added the azure-communication-email dependency in Maven, created the AcsEncounterSummaryMailer and EncounterSummaryConfig classes, provisioned Bicep resources for ACS Email with US data location and workload identity RBAC, and wired the delivery pipeline.","c":1,"e":[["file","fhir-api/pom.xml:72-77"],["file","fhir-api/src/main/java/com/marrowe/fhir/summary/AcsEncounterSummaryMailer.java:1-66"],["file","infra/bicep/modules/email.bicep:1-118"],["file","fhir-api/src/main/java/com/marrowe/fhir/config/EncounterSummaryConfig.java:52-73"],["trace","seq:49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-communication-services"],"pb":1,"sk":0,"seam":"Context-heavy production email","theme":"Self-hosting, privacy or residency"},{"cat":"deploy","wave":2,"date":"2026-09-21","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-d-64","pid":"DPLY-PD-64g","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel","secs":372,"k":"101a7d37-a5ba-466e-b5a2-6c6c717bc8b0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":48,"picks":[["vercel","p"],["cloudflare","r"],["netlify","r"],["railway","r"],["render","r"]],"v":{"r":"The user asked for the best hosting solution to get the application online without babysitting a server. The agent evaluated platforms (Vercel, Cloudflare, Netlify, Render, Railway) and selected Vercel, creating the `vercel.json` configuration, migrating the backend route into a Vercel serverless function (`api/week.js`), and adding edge middleware for password authentication.","c":1,"e":[["file","vercel.json"],["file","api/week.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"No operations burden"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"apache-kafka","secs":2185,"k":"10d2d537-51a2-4fef-aa1f-c946f5d12c9b-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":217,"picks":[["apache-kafka","p"],["nats","m"],["amazon-sqs","r"],["apache-pulsar","r"]],"v":{"r":"The agent evaluated messaging solutions against compliance constraints, per-account ordering, and 30-day replay requirements. It explicitly rejected Amazon SQS and Apache Pulsar, evaluated NATS, and committed to self-hosted Apache Kafka (via Strimzi on Kubernetes) alongside a PostgreSQL transactional outbox.","c":1,"e":[["file","k8s/kafka/kafka.yaml"],["file","k8s/kafka/topic.yaml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"sk":0,"theme":"Procurement and compliance"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sendgrid","secs":970,"k":"117a7a82-226d-4657-9819-ebe4517683c3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":127,"picks":[["sendgrid","p"],["mailgun","r"],["postmark","r"]],"v":{"r":"The repository already had SendGrid dependencies and stubs in place. The agent finalized SendGrid as the primary transactional email service by building out HTML/text template rendering, SendGrid Mail Send API delivery, error handling/redaction, and configuration validation.","c":1,"e":[["file","app/emails.py:1-309"],["file","app/config.py:11-66"],["file","tests/test_emails.py:1-211"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sendgrid"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":800,"k":"1194ea2c-2935-4f9d-8686-192490d514ea-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":57,"picks":[["diy","p","d"],["sonarqube","m"],["cursor-bugbot","r"],["semgrep","r"],["cursor-sdk","m"]],"v":{"r":"The user required automated PR reviews with strict in-region eu-west-1 processing and compliance approval. Third-party cloud review tools (such as Cursor Bugbot) were rejected due to data residency constraints, and standard static analysis tools like Semgrep were rejected as insufficient for semantic money-movement logic. The agent built a custom in-repo script running a local llama-server instance on self-hosted GitHub Actions runners to produce and post PR reviews.","c":0.95,"e":[["file","scripts/ledger_pr_review.py:1-577"],["file",".github/workflows/pr-review.yml:1-33"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"bc-auth-prompt-b-01","pid":"AUTH-PB-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"entra-id","secs":637,"k":"11a62bee-dfaa-4500-8b1d-1ce62e937298-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":65,"picks":[["entra-id","p"],["azure-ad-b2c","r"],["keycloak","r"],["okta","r"],["auth0","r"]],"v":{"r":"The run evaluated multiple single sign-on options (Auth0, Okta, Keycloak, Azure AD B2C, Microsoft Entra ID) and committed to Microsoft Entra ID using Microsoft.Identity.Web JWT bearer middleware across the service code, Bicep infrastructure, tests, and documentation.","c":1,"e":[["file","src/Northmere.Billing.Api/Program.cs"],["file","infra/main.bicep"],["file","README.md"],["file","src/Northmere.Billing.Api/Authentication/BillingAuthorization.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"vector-search","wave":4,"date":"2026-09-22","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qdrant","secs":1411,"k":"11a956dd-58bf-4c06-a5d5-f056c960d81e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":70,"picks":[["qdrant","p"],["pinecone","r"],["pgvector","m"],["sqlite-vec","m"]],"v":{"r":"The agent evaluated several vector search options (Pinecone, pgvector, sqlite-vec, Qdrant) and committed to Qdrant, installing qdrant-client, creating search and indexing integration in search.py, adding configuration to .env.example, and documenting setup in README.md.","c":1,"e":[["file","requirements.txt:39"],["file","search.py:8-19"],["file","README.md:5-18"],["file",".env.example:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qdrant"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"bc-dply-prompt-b-61","pid":"DPLY-PB-61g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":281,"k":"11e1d66a-3faa-4b4a-aeb6-3921efce9386-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":40,"picks":[["render","p"],["cloudflare","r"],["fly-io","r"],["railway","r"],["vercel","r"]],"v":{"r":"The agent evaluated multiple hosting platforms (Render, Vercel, Railway, Fly.io, Cloudflare) and explicitly recommended and implemented Render by creating a `render.yaml` blueprint configuration.","c":1,"e":[["file","render.yaml:1-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"auth-choice-laravel-helpdesk","pid":"AUTH-NS-04a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":778,"k":"1224e6b9-59ff-4b38-944a-4360e7db174d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":174,"picks":[["laravel-fortify","p"],["laravel-socialite","c"],["laravel-breeze","r"],["laravel-jetstream","r"],["google-sign-in","m"],["passport","m"]],"v":{"r":"The agent selected and implemented a self-hosted authentication stack using Laravel Fortify (for session authentication, password resets, and TOTP MFA) alongside Laravel Socialite (for Google and GitHub OAuth authentication). Both packages were installed into composer.json and configured with migrations, controllers, and tests, while SaaS options (WorkOS) and ill-fitting Laravel packages (Breeze, Jetstream, Sanctum, Passport) were explicitly rejected.","c":0.95,"e":[["file","composer.json"],["file","config/fortify.php"],["file","app/Providers/FortifyServiceProvider.php"],["trace","seq 37"],["file","composer.json"],["file","app/Http/Controllers/SocialAuthController.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-fortify","laravel-socialite"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-ses","secs":723,"k":"12503d3b-6388-4fa4-95ee-cf371cdeac92-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":75,"picks":[["aws-ses","p"],["mailgun","r"],["postmark","r"],["resend","r"],["sendgrid","r"],["loops","m"]],"v":{"r":"The run chose Amazon SES as the transactional mail provider, replacing the initial SendGrid stub. It implemented boto3 SESv2 delivery in app/emails.py, added IAM task role permissions in terraform/ecs.tf, configured templates in app/email_templates/, and updated tests and documentation.","c":1,"e":[["file","app/emails.py"],["file","terraform/ecs.tf"],["file","requirements.txt"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-ses"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"bot-protection","wave":4,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"botp-junior-nextjs-storefront","pid":"BOTP-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-botid","secs":584,"k":"127a03e7-4cfc-461b-8aed-34f02d822fe1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":89,"picks":[["vercel-botid","p"],["hcaptcha","r"],["recaptcha","r"],["turnstile","r"]],"v":{"r":"The agent selected and fully implemented Vercel BotID via the `botid` npm package to protect public checkout and newsletter API endpoints. Alternatives including Cloudflare Turnstile, Google reCAPTCHA, and hCaptcha were evaluated and rejected.","c":1,"e":[["file","package.json"],["file","lib/bot-check.ts"],["file","app/layout.tsx"],["file","next.config.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"hono-parcelwatch","variant":"base","family":"mq-vibe-parcelwatch","pid":"MQ-PARCELWATCH-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-sqs","secs":910,"k":"127aa36c-7fd9-4de9-a7a2-48840e5013da-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":76,"picks":[["amazon-sqs","p"],["rabbitmq","m"],["amazon-sns","r"],["apache-kafka","r"],["azure-service-bus","r"],["bullmq","r"],["cloud-tasks","r"],["cloudflare-queues","r"],["google-pubsub","r"],["inngest","r"],["pgmq","r"],["redis","r"],["redpanda","r"],["upstash","r"],["confluent","m"]],"v":{"r":"The run chose Amazon SQS (specifically SQS FIFO) as its message queue solution. It installed @aws-sdk/client-sqs, configured db/sqs-queue.json, implemented src/queue.ts and src/consumer.ts, and integrated it with the Hono API in src/app.ts. Other evaluated message queue technologies were explicitly weighed and rejected.","c":1,"e":[["file","package.json:12"],["file","src/queue.ts:1-59"],["file","db/sqs-queue.json:1-7"],["file","README.md:21-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"bc-search-prompt-b-01","pid":"SEARCH-PB-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1040,"k":"12bd7978-a00d-46e9-a87e-4167cdda102f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":79,"picks":[["diy","p","d"],["algolia","r"],["fuse-js","r"]],"v":{"r":"The agent evaluated external libraries (Fuse.js, Algolia) and database extensions (pg_trgm/Postgres search), but chose to implement a DIY in-memory search and date matcher in `lib/search.ts` filtering results loaded from Postgres.","c":1,"e":[["file","lib/search.ts:1-140"],["file","app/page.tsx:37-46"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":1297,"k":"1318a8c2-105e-4987-879b-7467a2733fea-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":94,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The run evaluated Retell AI, Vapi, and ElevenLabs Agents for the pottery workshop phone assistant. It selected Retell AI as the best fit and implemented full integration including webhook handlers for schedule queries and booking confirmations, HMAC signature verification, agent definitions, and a provisioning script.","c":1,"e":[["file","app/retell.server.ts"],["file","scripts/provision-retell.ts"],["file","scripts/retell-agent.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":5,"date":"2026-09-21","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01e","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":854,"k":"13814d02-ead5-435e-9598-c87f4cbe8a2e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":78,"picks":[["leaflet","p"],["opentopomap","c"],["openstreetmap","m"],["mapbox","r"],["maplibre","r"],["maptiler","r"],["openfreemap","r"],["protomaps","r"],["usgs-national-map","r"]],"v":{"r":"The agent evaluated several mapping libraries and tile providers, ultimately selecting and implementing Leaflet as the client mapping library alongside OpenTopoMap as the basemap tile provider for topographic contours and hiking trails.","c":0.95,"e":[["file","package.json"],["file","src/components/RouteMap.astro"],["file","src/components/RouteMap.astro"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet","opentopomap"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"obs-traces-python-analyst","pid":"OBS-TRACE-03a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"honeycomb","secs":1099,"k":"138e7275-6e7d-4219-b7fa-a47f0a75bcb0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":113,"picks":[["honeycomb","p"],["axiom","m"],["betterstack","m"],["opentelemetry","m"],["aws-xray","r"],["datadog","r"],["grafana","r"],["jaeger","r"],["prometheus","r"],["sentry","r"]],"v":{"r":"The run explicitly chose Honeycomb as its primary third-party observability backend. It implemented OpenTelemetry instrumentation across the FastAPI, database, and LLM boundaries with span redaction, configured OTLP export directly to Honeycomb's API, and wrote a dedicated Honeycomb trigger provisioner script (`analyst-provision-alert`) to configure sustained latency alerts.","c":1,"e":[["file","app/alerts.py"],["file","app/telemetry.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["honeycomb"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"maplibre","secs":2511,"k":"13edd81c-83c8-492e-8903-d55315f9ec5e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":188,"picks":[["maplibre","p"],["osrm","m"],["protomaps","m"],["valhalla","m"],["google-maps","r"],["graphhopper","r"],["mapbox","r"],["mapsforge","r"],["osmdroid","r"],["tomtom","r"],["openmaptiles","m"],["openstreetmap","m"]],"v":{"r":"The agent explicitly recommended, installed, and configured MapLibre Android SDK (version 11.11.0) to render offline PMTiles vector basemaps while locking down its HTTP client so no traffic leaves the device. It considered and rejected Google Maps, Mapbox, HERE, TomTom, osmdroid, Mapsforge, and GraphHopper due to compliance, third-party data processor risks, and device resource constraints.","c":1,"e":[["file","gradle/libs.versions.toml:46"],["file","app/build.gradle.kts:109"],["file","app/src/main/java/com/tollanwater/fieldmeter/FieldMeterApp.kt:23"],["file","app/src/main/java/com/tollanwater/fieldmeter/ui/map/ServiceAreaMap.kt:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1620,"k":"1423e18d-4feb-43de-bc26-055a5741ca32-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":212,"picks":[["diy","p","d"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","r"],["cloudamqp","r"],["google-pubsub","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["redpanda","r"],["aiven","m"],["google-memorystore","m"],["temporal","m"]],"v":{"r":"The agent evaluated several message queue systems (Kafka, RabbitMQ, NATS, Redis Streams, SQS/SNS, Google Pub/Sub, CloudAMQP) and explicitly chose not to introduce an external broker. Instead, it implemented a custom transactional outbox queue pattern directly within the existing PostgreSQL database (`outbox_events` and `outbox_deliveries` tables) and a dedicated Node.js outbox worker container using `FOR UPDATE SKIP LOCKED`.","c":0.95,"e":[["file","db/schema.sql"],["file","compose.yaml"],["file","services/orders/src/pg-outbox.ts"],["file","services/orders/src/deliver.ts"],["file","services/orders/scripts/outbox-worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"go-planthire-returns","variant":"base","family":"cadenya-e1-ryehill","pid":"CDNY-E1-RYEHILL-ck","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"dbos-transact","secs":2217,"k":"143c92ad-8190-429c-9ac9-59755536ea75-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":235,"picks":[["dbos-transact","p"],["cloudflare-sandboxes","r"],["daytona","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["modal","r"],["temporal","r"],["trigger-dev","r"],["vercel-workflow","r"]],"v":{"r":"The agent selected and fully integrated DBOS Transact for Go (v1.4.0) to build a durable returns-processing workflow. It added the dependency to go.mod, created a dedicated returns-worker daemon using dbos.Launch and dbos.RegisterWorkflow, and implemented workflow steps, transactions, queue enqueueing, and supervisor decision signals over the existing PostgreSQL database. Other durable engines (Temporal, Restate, Hatchet, Inngest, River), agent runtimes (LangGraph, Mastra, OpenAI Agents SDK, CrewAI, Dify, n8n), and code sandboxes (E2B, Daytona, Modal, Cloudflare Sandboxes) were evaluated and rejected.","c":0.99,"e":[["file","go.mod:6"],["file","cmd/returns-worker/main.go:48-77"],["file","internal/agent/workflow.go:49-100"],["file","README.md:90-95"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"go-planthire-returns","variant":"base","family":"cadenya-e1-ryehill","pid":"CDNY-E1-RYEHILL-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"dbos-transact","secs":1701,"k":"14550356-6158-40be-b982-ae8de50a5ec6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":173,"picks":[["dbos-transact","p"],["daytona","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["modal","r"],["restate","r"],["temporal","r"],["trigger-dev","r"],["cursor-sdk","m"],["langchain","m"]],"v":{"r":"The run explicitly selected and implemented DBOS Transact (`github.com/dbos-inc/dbos-transact-golang`) as the agent runtime and durable workflow orchestration engine. It integrated DBOS workflows, queues, and steps into `internal/agent`, adding a dedicated agent daemon in `cmd/agent`. It deliberated upon and rejected several alternatives including Temporal, Restate, Inngest, LangGraph, and various cloud execution sandboxes.","c":1,"e":[["file","go.mod:6"],["file","internal/agent/workflow.go:1-324"],["file","internal/agent/desk.go:1-185"],["file","cmd/agent/main.go:1-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":5,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"next-intl","secs":1483,"k":"1470cd54-17da-4870-a2f1-6042040dd442-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":179,"picks":[["next-intl","p"],["crowdin","m"]],"v":{"r":"The run evaluated and selected next-intl as the primary internationalization solution for the Next.js App Router store, installing the package and wiring it through routing, layouts, components, and formatters. Crowdin was also configured as the translation management workflow file (crowdin.yml).","c":1,"e":[["file","package.json"],["file","next.config.mjs"],["file","i18n/routing.ts"],["file","middleware.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-21","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"twilio-conversationrelay","secs":1136,"k":"148391b6-3a3a-4ed4-8590-11653010baee-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":91,"picks":[["twilio-conversationrelay","p"],["openai-realtime","r"],["vapi","r"]],"v":{"r":"The run explicitly selected and implemented Twilio ConversationRelay for the voice agent, configuring TwiML webhook endpoints, WebSocket relay handling, tool executions mapped to internal controllers, interrupt handling, and staff transfer logic.","c":0.95,"e":[["file","services/voiceTwiml.js"],["file","services/voiceRelay.js"],["file","routes/voice.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio-conversationrelay"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-21","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-automations","secs":373,"k":"14942a5c-4cdc-4c0b-8827-81ef203f5ee3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":37,"picks":[["cursor-automations","p"],["cursor-cloud-agents","c"],["resolve-ai","m"]],"v":{"r":"The run explicitly recommended and implemented configuration for Cursor Automations and Cursor Cloud Agents to receive alert webhooks from Grafana Cloud, query Loki via MCP, investigate root causes in the codebase, and open PRs for fixes. Other tools like Resolve AI, Rootly, and Datadog Bits were briefly considered in reasoning.","c":0.95,"e":[["file",".cursor/environment.json:1-3"],["file",".cursor/mcp.json:1-7"],["file","AGENTS.md:1-28"],["file","docs/monitoring.md:15"],["file",".cursor/environment.json:1-3"],["file","AGENTS.md:5-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-automations"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-cloud-workflows","secs":1587,"k":"14bbb07a-82bc-4a5d-a746-77a3fab9951d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":137,"picks":[["google-cloud-workflows","p"],["celery","r"],["cloud-tasks","r"],["google-eventarc","r"],["google-pubsub","r"],["rabbitmq","r"],["redis","r"],["temporal","r"]],"v":{"r":"The agent explicitly recommended Google Cloud Workflows and implemented the complete solution across the repository by defining `workflows/publish.yaml`, adding the workflow deployment step to `cloudbuild.yaml`, creating the API client in `web/app/services/workflow_client.py`, and refactoring the publishing endpoints to return 202 Accepted immediately. Several alternatives (Cloud Tasks, Pub/Sub, Eventarc, Celery, Redis, RabbitMQ, Temporal) were explicitly considered and rejected during deliberation.","c":1,"e":[["file","workflows/publish.yaml"],["file","cloudbuild.yaml:66-79"],["file","web/app/services/workflow_client.py:53-91"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-workflows"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1698,"k":"14bbdd61-3645-4326-a5f6-1c21253671b8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":143,"picks":[["azure-document-intelligence","p"],["abbyy","m"],["hyperscience","m"],["amazon-textract","r"],["anthropic-claude","r"],["mistral-ocr","r"],["openai-models","r"]],"v":{"r":"The run adopted Azure AI Document Intelligence (layout model `prebuilt-layout`) to handle loss-run document intake and table extraction. It added the NuGet package `Azure.AI.DocumentIntelligence`, implemented `DocumentIntelligenceLayoutAnalyzer`, created Bicep provisioning templates for the service and storage, updated the database schema and application pipeline, and wrote unit tests verifying the completeness gate.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj:15"],["file","infra/bicep/modules/document-intelligence.bicep:1-30"],["file","src/Meridian.PolicyCore/Services/DocumentIntelligenceLayoutAnalyzer.cs:1-137"],["file","src/Meridian.PolicyCore/Program.cs:46-77"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":8,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-stor-prompt-b-07","pid":"STOR-PB-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1219,"k":"14c06bca-5c7f-46cf-b328-6c1fa121eaf6-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":161,"picks":[["amazon-s3","p"],["backblaze-b2","m"],["cloudflare-r2","m"],["digitalocean-spaces","m"]],"v":{"r":"The agent explicitly recommended Amazon S3, installed `league/flysystem-aws-s3-v3`, configured the S3 disk in `config/filesystems.php`, added AWS credentials to `.env.example`, documented the S3 private bucket configuration in `README.md`, and fully implemented file streaming/access control.","c":1,"e":[["file","composer.json:12"],["file","config/filesystems.php:40-75"],["file",".env.example:29-37"],["file","README.md:37-46"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"express-api","variant":"base","family":"payments-junior-express-api","pid":"PAY-12a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1158,"k":"14e8c5e7-0874-4708-a918-b9e92a53757e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":125,"picks":[["stripe","p"],["paypal","r"],["square","r"]],"v":{"r":"The agent evaluated payment providers (Stripe, PayPal, Square), chose Stripe Checkout with Stripe Connect Express accounts, and fully implemented and tested the integration.","c":1,"e":[["file","package.json:24"],["file","services/stripeClient.js:1-30"],["file","controllers/stripeWebhookController.js:1-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"brave-search","secs":1589,"k":"14f55bb9-d136-4cc0-9d6c-04de15a91b08-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":133,"picks":[["brave-search","p"],["searxng","m"],["tavily","m"],["bing-web-search","r"],["google-cse","r"],["vertex-ai-search","r"]],"v":{"r":"The run evaluated search providers against educational data privacy (FERPA) and storage constraints. It rejected Google Custom Search and Bing Web Search due to deprecation/retirement, and Vertex AI Search/Google Grounding due to terms prohibiting result caching. It fully configured and integrated the Brave Search API with strict SafeSearch, custom Goggles, HMAC signing of candidates, and district-scoped audit logging.","c":1,"e":[["file","apps/courses/lesson_sources.py:1-231"],["file","brightloom/settings.py:160-169"],["file",".env.example:26-28"],["file","cloudbuild.yaml:39"],["file","deploy/service.yaml:84-88"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":2226,"k":"152016b6-7dcd-4908-a461-1002f1896a73-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":191,"picks":[["diy","p","d"],["tesseract","r"]],"v":{"r":"The user asked for the best way to handle handwritten parts from photographed job sheets. The agent considered OCR libraries (such as Tesseract.js) but recommended and implemented a custom DIY solution where photos are attached to the job and transcribed manually by technicians with a mandatory dispatch check gate before invoicing.","c":0.95,"e":[["file","utils/partsGate.ts"],["file","pages/jobs/[id].vue"],["file","server/api/jobs/[id]/sheet.post.ts"],["file","server/api/jobs/[id]/parts-review.post.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06d","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"exa","secs":675,"k":"158aa30f-3015-437d-94e1-a7b87faee052-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":97,"picks":[["exa","p"],["firecrawl","r"],["jina","r"],["newsapi","r"],["openai-web-search","r"],["parallel","r"],["perplexity-sonar","r"],["tavily","r"],["brave-search","m"],["browserbase","m"],["diffbot","m"],["gdelt","m"],["linkup","m"],["newscatcher","m"],["newsdata-io","m"],["you-com","m"]],"v":{"r":"The agent explicitly recommended Exa, validated its pricing and highlight extraction capabilities, and then implemented the full integration via lib/find.ts, app/api/find/route.ts, UI components, and unit tests.","c":1,"e":[["file","lib/find.ts:1-91"],["file",".env.example:9-10"],["file","app/api/find/route.ts:1-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":7,"date":"2026-09-22","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1762,"k":"15a310c9-eb73-4e2d-8594-85beaf798fc5-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":122,"picks":[["diy","p","d"],["lago","r"],["metronome","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent explicitly evaluated third-party usage-based billing systems (Stripe Billing, Orb, Lago, and Metronome) and rejected them due to constraints around delayed job completion and submission-month period attribution. The agent then implemented a complete DIY append-only usage ledger and rating system in PostgreSQL.","c":1,"e":[["file","migrations/002_usage_ledger.sql"],["file","app/billing.py"],["file","app/ledger.py"],["file","app/invoice.py"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"jobs-ops-remix-tickets","pid":"JOBS-OPS-REMIX-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pg-boss","secs":1652,"k":"15bae5b4-f30e-471b-b9c8-1ef6471ba468-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":171,"picks":[["pg-boss","p"],["celery","m"],["qstash","m"],["graphile-worker","a"],["inngest","a"],["trigger-dev","a"],["amazon-sqs","r"],["bullmq","r"],["oban","r"]],"v":{"r":"The run adopted pg-boss as its background-job library, installing it via npm, defining queue configurations in `app/queue.server.ts`, and running a background worker via `worker.ts` and `fly.toml`. Several alternatives such as BullMQ, Inngest, Trigger.dev, Graphile Worker, Oban, and Amazon SQS were evaluated and rejected in reasoning.","c":1,"e":[["file","app/queue.server.ts:1-47"],["file","package-lock.json"],["trace","42"],["trace","91"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pg-boss"],"sk":0,"seam":"Deployment-constrained production workers","theme":"Portability, no lock-in"},{"cat":"agent-runtime","wave":10,"date":"2026-09-22","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e2-halverstock","pid":"CDNY-E2-HALVERSTOCK-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":2622,"k":"15c26b5d-046e-4d8c-97bf-a9583f4b3aa0-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":405,"picks":[["e2b","p"],["diy","c","d"],["assistant-ui","r"],["claude-agent-sdk","r"],["copilotkit","r"],["inngest","r"],["langchain4j","r"],["langgraph","r"],["mastra","r"],["microsoft-agent-framework","r"],["modal","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["spring-ai","r"],["vercel-ai-sdk","r"],["langchain","m"],["vercel-workflow","m"]],"v":{"r":"The agent implemented a split architecture for the agent-runtime category: a custom, hand-built Java agent loop with turn leasing, streaming, approval gating, and transcript compaction backed by PostgreSQL, paired with E2B for isolated Python sandbox code execution.","c":0.95,"e":[["file","src/main/java/com/halverstock/timesheets/assistant/E2bCodeSandbox.java"],["file","src/main/resources/application.yml"],["file","README.md"],["file","src/main/java/com/halverstock/timesheets/assistant/TurnRunner.java"],["file","src/main/java/com/halverstock/timesheets/assistant/JdbcAssistantStore.java"],["file","src/main/java/com/halverstock/timesheets/assistant/ToolExecutor.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":6,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-clde-prompt-c-06","pid":"CLDE-PC-06b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"gcp","secs":1475,"k":"15dc5747-522b-4ec9-b1b6-204b216338b5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":130,"picks":[["gcp","p","b"],["redis","m"]],"v":{"r":"The user requested an object storage and queue recommendation for handling sharp deadline peaks in Brightloom LMS. The agent recommended and implemented GCP services (Cloud Storage for file uploads and Cloud Tasks pushing to a scale-to-zero Cloud Run grader), aligning with the repo's existing GCP infrastructure while keeping Celery/Redis for routine background sync.","c":0.95,"e":[["file","requirements.txt:10"],["file","deploy/setup-grading.sh:1-118"],["file","apps/grading/queue.py:1-72"],["file","deploy/grader.yaml:1-76"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"storage","wave":3,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-stor-prompt-c-05","pid":"STOR-PC-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"minio","secs":1128,"k":"16022029-234c-460d-b946-1f5285b31209-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":89,"picks":[["minio","p"],["amazon-s3","r"],["azure-blob-storage","r"],["backblaze-b2","r"],["cloudflare-r2","r"],["google-cloud-storage","r"]],"v":{"r":"The agent selected and implemented MinIO using the AWS Go SDK v2 S3 client to provide private S3-compatible object storage with presigned download URLs, while rejecting public cloud storage providers (Amazon S3, Google Cloud Storage, Azure Blob Storage, Cloudflare R2, Backblaze B2) to keep customer data strictly on the internal office network.","c":0.98,"e":[["file","README.md:11-16"],["file","internal/blob/s3/s3.go:32-34"],["file",".env.example:3"],["trace","18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["minio"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-cloudwatch","secs":1614,"k":"16fba69e-289e-4add-b152-2cca9a7254f9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":154,"picks":[["aws-cloudwatch","p","b"],["aws-xray","m","b"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["prometheus","r"],["jaeger","m"]],"v":{"r":"The agent chose and implemented Amazon CloudWatch as the unified observability solution for the FastAPI application on AWS ECS Fargate. It configured CloudWatch log groups, EMF-based metrics for request duration and server errors, CloudWatch alarms via SNS, and trace export through the AWS Distro for OpenTelemetry into CloudWatch/X-Ray Transaction Search.","c":0.95,"e":[["file","terraform/observability.tf:3-132"],["file","app/observability.py:1-223"],["file","README.md:41-68"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"vector-v1","family":"vector-search-senior-small-team-repairs","pid":"VEC-REPAIRS-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"typesense","secs":1476,"k":"17676a7a-892a-42d7-adfc-b2a9b9428857-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":162,"picks":[["typesense","p"],["meilisearch","m"],["qdrant","m"],["turbopuffer","m"],["weaviate","m"],["azure-ai-search","r"],["elastic","r"],["opensearch","r"],["pinecone","r"],["pgvector","m"]],"v":{"r":"The agent evaluated several vector and hybrid search engines and selected Typesense (Typesense Cloud). It installed the `typesense` package, configured a schema with auto-embeddings (`ts/all-MiniLM-L12-v2`), implemented a hybrid search query fusing keyword and vector matches, built a PostgreSQL outbox queue to handle provider outages gracefully without blocking job/note writes, and added a search frontend component.","c":1,"e":[["file","package.json:21"],["file","server/utils/typesenseSearch.ts:1-137"],["file","server/utils/searchPassages.ts:121-139"],["file","components/RepairSearch.vue:1-161"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-auth-prompt-b-04","pid":"AUTH-PB-04a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1070,"k":"17a44693-a22e-474a-8737-882f1d8508f2-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":135,"picks":[["diy","p","d"],["arctic","m"],["google-auth-library","m"],["google-identity","m"],["google-sign-in","m"]],"v":{"r":"The agent evaluated external auth providers (Clerk, Auth0, Firebase, Passport) and rejected them in favor of implementing a lightweight, hand-written server-side Google OAuth 2.0 PKCE flow in Remix using `google-auth-library` and built-in cookie sessions.","c":0.95,"e":[["file","app/auth.server.ts"],["file","app/routes/auth.google.tsx"],["file","app/routes/auth.google.callback.tsx"],["file","app/routes/auth.logout.tsx"],["file","app/routes/login.tsx"],["file","app/routes/studio-board.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-21","repo":"go-planthire-returns","variant":"base","family":"cadenya-e4-ryehill","pid":"CDNY-E4-RYEHILL-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-adk","secs":1439,"k":"17b2f5ea-676c-4e7b-b286-3bd4aed94979-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":137,"picks":[["google-adk","p"],["claude-agent-sdk","r"],["crewai","r"],["daytona","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["microsoft-agent-framework","r"],["modal","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["temporal","r"],["vercel-ai-sdk","r"],["vercel-workflow","r"],["autogen","m"],["langchain","m"],["llamaindex","m"],["mastra","m"],["mem0","m"],["n8n","m"],["semantic-kernel","m"],["zep","m"]],"v":{"r":"The run chose Google Agent Development Kit (ADK) for Go (`google.golang.org/adk/v2`) as the agent runtime. It implemented a new Go module (`hireagent/`) using ADK's `llmagent`, `runner`, `model/gemini`, `model/openaimodel`, and `session/database` packages, wiring tools with confirmation and compaction. Alternatives including LangGraph, Pydantic AI, OpenAI Agents SDK, Claude Agent SDK, Temporal, and cloud sandbox providers were explicitly surveyed, compared, and rejected.","c":1,"e":[["file","hireagent/go.mod"],["file","hireagent/agent.go:10-22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-adk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"payments-junior-rails-marketplace","pid":"PAY-11a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1304,"k":"17ba796f-f569-4536-ace9-b66836c36fcd-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":144,"picks":[["stripe","p"],["paypal","m"]],"v":{"r":"The run selected and fully implemented Stripe Checkout with the official stripe gem, webhook handling via Sidekiq, and test coverage.","c":1,"e":[["file","Gemfile:26-27"],["file","app/services/stripe_checkout.rb:1-88"],["file","app/controllers/stripe_webhooks_controller.rb:1-13"],["file","config/initializers/stripe.rb:1-3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":694,"k":"182d4c7e-55cf-44b4-bcc2-fdd12ba34a24-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":72,"picks":[["diy","p","d"],["intlayer","r"],["crowdin","r"],["deepl","r"],["general-translation","r"],["google-cloud-translation","r"],["lingo-dev","r"],["lingui","r"],["localize-js","r"],["lokalise","r"],["next-intl","r"],["paraglide","r"],["transifex","r"],["typesafe-i18n","r"],["weglot","r"],["eloqnt-cli","m"],["intl-api","m"],["languine","m"],["next-international","m"]],"v":{"r":"The user explicitly requested a free solution that avoided maintaining multiple split locale files. The agent evaluated multiple third-party libraries and SaaS translation management systems before rejecting them in favor of a clean, hand-rolled DIY copy dictionary (lib/copy.ts) leveraging the built-in JavaScript Intl API and Next.js cookies.","c":0.95,"e":[["file","lib/copy.ts:1-234"],["file","lib/locale.ts:1-35"],["file","lib/set-locale.ts:1-34"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"postmark","secs":984,"k":"18387452-729d-4ccd-b52d-0a374733f31d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":125,"picks":[["postmark","p"],["resend","a"],["aws-ses","r"],["mailgun","r"],["sendgrid","r"]],"v":{"r":"The run explicitly selected and implemented Postmark for transactional email (specifically password reset). It built a Postmark API client (`src/lib/server/email/postmark.ts`), configured configuration and secrets in `.env.example`, `fly.toml`, and `README.md`, and evaluated other transactional mail providers (Amazon SES, Resend, SendGrid, Mailgun) in reasoning before deciding on Postmark.","c":1,"e":[["file","src/lib/server/email/postmark.ts:5-93"],["file",".env.example:10-16"],["file","README.md:29-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"databases","wave":2,"date":"2026-09-21","repo":"flask-shiftplanner","variant":"base","family":"bc-databases-prompt-b-04","pid":"DB-PB-04a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":488,"k":"184e8555-0884-4eb1-be81-0a853cc38a6b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":52,"picks":[["neon","p"],["supabase","m"],["turso","m"],["sqlite","a","b"],["postgres","m"],["redis","m"]],"v":{"r":"The agent explicitly recommended Neon Postgres as the hosted database solution, configured the application to connect to Neon with psycopg and psycopg-pool via DATABASE_URL, and documented the setup in README.md and .env.example.","c":1,"e":[["file","app.py"],["file","README.md"],["file",".env.example"],["file","requirements.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-21","repo":"dotnet-supplier-contracts","variant":"base","family":"esign-junior-enterprise-bexmoor","pid":"SIGN-BEXMOOR-01h","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"microsoft-esignature","secs":1495,"k":"185a4d43-8fe9-4e61-9825-0c17ea21a1ba-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":137,"picks":[["microsoft-esignature","p","b"],["adobe-acrobat-sign","r"],["docusign","r"]],"v":{"r":"The agent explicitly recommended and implemented Microsoft 365 eSignature via Microsoft Graph integration and SharePoint libraries. It considered and rejected Adobe Acrobat Sign and DocuSign due to external vendor procurement burdens and data residency constraints.","c":1,"e":[["file","src/Bexmoor.Suppliers.Api/Services/Microsoft365ESignatureClient.cs"],["file","src/Bexmoor.Suppliers.Api/Services/AgreementSignatureService.cs"],["file","src/Bexmoor.Suppliers.Api/Services/IESignatureClient.cs"],["file","src/Bexmoor.Suppliers.Api/Program.cs"],["file","infra/modules/app-service.bicep"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["microsoft-esignature"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":7,"date":"2026-09-22","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e3-cairnfold","pid":"CDNY-E3-CAIRNFOLD-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"dbos-transact","secs":3948,"k":"18ab43f7-5924-4711-9b28-3916e552bd11-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":234,"picks":[["dbos-transact","p"],["aws-step-functions","r"],["inngest","r"],["langgraph","r"],["trigger-dev","r"],["vercel-workflow","r"],["langchain","m"],["semantic-kernel","m"]],"v":{"r":"The agent selected and fully implemented DBOS Transact (`github.com/dbos-inc/dbos-transact-golang`) as the durable agent workflow runtime in Go. The web server process queues turns into DBOS and delivers human-in-the-loop approvals via DBOS Send/Recv, while a separate worker process executes turns using DBOS workflows and steps against PostgreSQL. Other orchestration and sandbox tools were explicitly evaluated and rejected.","c":0.98,"e":[["file","go.mod"],["file","cmd/worker/main.go"],["file","internal/agent/workflow.go"],["file","cmd/server/main.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"bc-botp-prompt-c-02","pid":"BOTP-PC-02b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"turnstile","secs":947,"k":"18c9d0d9-afd1-4743-b531-155d5cee6966-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":130,"picks":[["turnstile","p"],["altcha","r"],["cloudflare-bot-management","r"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The agent explicitly recommended and implemented Cloudflare Turnstile in managed mode for bot protection on the ticket creation endpoint. It implemented the custom validation rule calling Cloudflare's siteverify API, added configuration keys in config/services.php and .env.example, and wired the rule into TicketController validation alongside IP rate limiting.","c":1,"e":[["file",".env.example:34-38"],["file","app/Http/Controllers/TicketController.php:36-44"],["file","app/Rules/ValidTurnstile.php:1-75"],["file","config/services.php:29-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-maps","secs":1332,"k":"19687fcd-6126-4289-a5d1-d631bda572aa-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":103,"picks":[["azure-maps","p"],["google-maps","r"],["leaflet","r"],["mapbox","r"],["nominatim","r"],["openstreetmap","m"]],"v":{"r":"The user requested a mapping solution for an ASP.NET Core service hosted on Azure App Service with strict requirements around using their existing cloud subscription and vendor agreements. The run recommended and fully implemented Azure Maps across the backend geocoding service, SAS token issuer, API endpoints, and a frontend client using the Azure Maps Web SDK. Alternative vendors such as Google Maps Platform, Mapbox, Nominatim, and Leaflet were considered and explicitly rejected during evaluation.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/AzureMapsGeocoder.cs"],["file","src/BrackenRidge.FieldOps/Services/AzureMapsSasIssuer.cs"],["file","src/BrackenRidge.FieldOps/wwwroot/map.html"],["file","src/BrackenRidge.FieldOps/wwwroot/map.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-maps"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":5,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-payments-prompt-b-08","pid":"PAY-PB-08a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1308,"k":"19d1acfd-dade-49d7-b743-c675c4515cbd-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":125,"picks":[["stripe","p"],["paddle","r"],["paypal","r"]],"v":{"r":"The user asked for a card payment recommendation and then requested implementation. The agent evaluated payment options, rejected PayPal and Paddle due to product/model mismatch, recommended Stripe Checkout, and implemented the full flow using the official Stripe Node SDK.","c":1,"e":[["file","package.json"],["file","app/stripe.server.ts"],["file","app/routes/webhooks.stripe.ts"],["file","app/routes/_index.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"laravel-queues","secs":850,"k":"1a8d0e07-a59e-4267-a8d6-139557420ab5-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":147,"picks":[["laravel-queues","p","b"],["amazon-sqs","r"],["beanstalkd","r"],["redis","r"]],"v":{"r":"The run evaluated message queue options for the Laravel application and committed to Laravel Queues using the database driver (`QUEUE_CONNECTION=database`). It created database migrations for `jobs` and `failed_jobs`, updated `TicketOpened` and `TicketReplyCreated` to be queued with retries, and configured deployment and daemon commands in `deploy.sh` and `README.md`. It explicitly evaluated and rejected Redis, Amazon SQS, and Beanstalkd.","c":1,"e":[["file",".env.example:20"],["file","deploy.sh:22-26"],["file","database/migrations/2026_09_21_190512_create_jobs_table.php:1-32"],["file","database/migrations/2026_09_21_190512_create_failed_jobs_table.php:1-32"],["file","app/Mail/TicketOpened.php:14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-b-01","pid":"STOR-PB-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-cloud-storage","secs":599,"k":"1ac5fb5b-68cc-4e3d-b66a-a3257292d72d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":74,"picks":[["google-cloud-storage","p","b"],["amazon-s3","r"],["azure-blob-storage","r"],["cloudflare-r2","r"]],"v":{"r":"The user requested an object storage recommendation and implementation for course material attachments. The agent inspected the existing Django architecture on Google Cloud Platform, confirmed that `google-cloud-storage` and `GS_MEDIA_BUCKET_NAME` were already configured, and implemented section-scoped direct-to-bucket uploads and downloads using GCS signed URLs and `google.cloud.storage.Client`.","c":1,"e":[["file","apps/courses/views.py:14"],["file","apps/courses/views.py:146-150"],["file","apps/courses/models.py:82-86"],["file","brightloom/settings.py:110-117"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-21","repo":"fleet-inspection-intake","variant":"base","family":"bc-clde-prompt-c-03","pid":"CLDE-PC-03b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws","secs":498,"k":"1ae8414f-21dd-4470-80d4-3d9032d7ab5b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":33,"picks":[["aws","p"],["azure","r"],["cloudflare","r"],["gcp","r"],["minio","r"],["redis","r"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent evaluated various cloud storage and queuing pairings (GCP, Azure, Cloudflare, MinIO/Redis) and selected AWS (Amazon S3 and Amazon SQS). It then installed aws-sdk-go-v2 and implemented adapter packages for both services with unit tests and a composition root in cmd/inspection-intake/main.go.","c":1,"e":[["file","go.mod:5-10"],["file","storage/s3.go:1-55"],["file","queue/sqs.go:1-48"],["file","cmd/inspection-intake/main.go:1-51"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"pb":1,"sk":0,"theme":"Portability, no lock-in"},{"cat":"storage","wave":4,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"stor-enterprise-dotnet-utility-billing","pid":"STOR-02b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-blob-storage","secs":1239,"k":"1bb54a24-d2f0-4c95-92a2-b8f28ee6a457-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":132,"picks":[["azure-blob-storage","p"]],"v":{"r":"The repository is hosted on Azure infrastructure. The agent selected, configured, and implemented Azure Blob Storage for storing bill PDFs using the official `Azure.Storage.Blobs` package, Bicep resource definitions for StorageV2, and managed identity authorization.","c":1,"e":[["file","Directory.Packages.props:10"],["file","infra/main.bicep:100-137"],["file","src/Northmere.Billing.Api/Services/BlobBillDocumentStore.cs:1-60"],["file","src/Northmere.Billing.Api/Program.cs:27-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"panl-enterprise-ts-commerce-datadog","pid":"PANL-05c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metabase","secs":451,"k":"1bc4237c-02e4-443e-b8c7-447e3720b38e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":56,"picks":[["metabase","p"],["apache-superset","a"],["amplitude","r"],["grafana","r"],["mixpanel","r"],["posthog","r"],["looker","m"]],"v":{"r":"The run evaluated multiple product analytics options for peak checkout event traffic, rejecting per-event SaaS platforms (Amplitude, PostHog, Mixpanel) due to cost volatility during peak volume days. It chose a ClickHouse + Metabase architecture, recommending Metabase as the primary dashboard tool so squad members can easily edit queries and visualizations self-service. The agent also implemented the in-repo Kafka outcome event publisher to feed this pipeline asynchronously.","c":0.95,"e":[["trace","18"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"evals","wave":5,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-05","pid":"EVAL-PC-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"langfuse","secs":996,"k":"1bf2c6b3-aee2-469b-9673-3074baf77d0d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":139,"picks":[["langfuse","p"],["braintrust","r"],["langsmith","r"],["phoenix","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The agent evaluated several LLM observability/eval options against the project's requirements and budget, explicitly selected Langfuse Cloud Hobby tier, and implemented it across the repository with official SDK integrations.","c":1,"e":[["file","package.json"],["file","src/tracing.ts"],["file","src/model.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"Volume and cost at scale"},{"cat":"deploy","wave":2,"date":"2026-09-21","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-c-62","pid":"DPLY-PC-62g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel","secs":219,"k":"1bf30baa-4e91-454e-9726-d8d50593dfea-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":31,"picks":[["vercel","p"],["cloudflare","r"],["fly-io","r"],["netlify","r"],["railway","r"],["render","r"]],"v":{"r":"The agent explicitly selected Vercel as the deployment host for the Next.js project, configured `vercel.json` with regions set to `iad1`, tuned `lib/db.ts` for serverless pooling against Neon, and documented the release procedure in `README.md` and `.env.example`.","c":1,"e":[["file","vercel.json"],["file","README.md"],["file",".env.example"],["file","lib/db.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"Speed to ship"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1169,"k":"1bf59b02-98e4-4244-a2a2-1045227c887c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":100,"picks":[["azure-document-intelligence","p"],["adobe-pdf-extract","m"],["mistral-ocr","m"],["unstructured","m"],["amazon-textract","a"],["abbyy","r"],["docling","r"],["extend","r"],["llamaparse","r"],["pdfplumber","r"],["reducto","r"],["tesseract","r"],["affinda","m"],["anthropic-claude","m"],["chunkr","m"],["google-gemini","m"],["mineru","m"],["nanonets","m"],["openai-models","m"],["rossum","m"],["veryfi","m"]],"v":{"r":"The agent conducted a detailed market analysis across multiple document processing tools and implemented Azure Document Intelligence layout extraction with azure-ai-documentintelligence in code and tests, while comparing and ruling out alternative solutions based on accuracy, cost, and architecture fit.","c":1,"e":[["file","requirements.txt:1"],["file","app/notes/layout.py:1-401"],["file","app/notes/read.py:27-34"],["trace","seq:40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":8,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":1041,"k":"1c7c55d8-378e-44ec-a37c-3b28e957fde6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":104,"picks":[["retell-ai","p"],["pipecat","r"],["synthflow","r"],["twilio-conversationrelay","r"],["vapi","r"]],"v":{"r":"The user requested a hosted voice assistant recommendation that requires no voice server maintenance. The agent surveyed multiple hosted and framework options (Retell AI, Vapi, ElevenLabs Agents, Bland AI, Synthflow AI, Twilio ConversationRelay, LiveKit Agents, Pipecat), selected Retell AI as the best fit, and upon user approval fully implemented the Retell webhook routes, verification middleware, and database locking integration in the repository.","c":1,"e":[["file","app/api/retell/availability/route.ts:1-32"],["file","app/api/retell/booking/route.ts:1-33"],["file","app/api/retell/inbound/route.ts:1-16"],["file","lib/retell/signature.ts:1-36"],["file","README.md:43-78"],["trace","33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"tavily","secs":1293,"k":"1c8a7a03-0c24-480c-a7eb-d4b69c7cf875-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":148,"picks":[["tavily","p"],["google-cse","m"],["serpapi","m"],["brave-search","a"],["vertex-ai-search","a"]],"v":{"r":"The agent explicitly recommended and integrated Tavily for web search in the lesson editor, adding settings, environment configuration, Cloud Run secret mappings, and HTTP API integration code in `apps/courses/materials.py`.","c":1,"e":[["file","apps/courses/materials.py:165-200"],["file","brightloom/settings.py:160-164"],["file","deploy/service.yaml:84-88"],["file",".env.example:13-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"fieldservice-saas-billing","variant":"base","family":"bc-payments-prompt-b-06","pid":"PAY-PB-06b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":692,"k":"1cc96b27-6fde-4a3f-add5-27e46b7f98eb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":28,"picks":[["stripe","p"],["braintree","m"],["paypal","m"],["gocardless","r"],["mollie","r"],["adyen","r"],["chargebee","r"],["lemon-squeezy","r"],["paddle","r"],["recurly","r"]],"v":{"r":"The agent evaluated several payment options against fee impact and architectural fit with the existing billing domain. It selected Stripe, installed the official Stripe npm SDK, implemented a payment adapter in server/payments/stripe.js supporting SEPA debit and card off-session collections with webhooks and retry logic, and added test coverage.","c":1,"e":[["file","package.json"],["file","server/payments/stripe.js"],["file","test/collection.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"bc-search-prompt-c-01","pid":"SEARCH-PC-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"algolia","secs":1431,"k":"1ce13be2-2aeb-4531-a7ec-a92c39149943-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":191,"picks":[["algolia","p"],["elasticsearch","m"],["opensearch","m"]],"v":{"r":"The agent evaluated managed search options to offload search workloads from PostgreSQL. It recommended Algolia, received user approval, and fully implemented the Algolia Ruby SDK with background synchronization jobs, search controller integrations, rake tasks, and automated tests.","c":1,"e":[["file","Gemfile"],["file","app/services/claim_search.rb"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"search-scale-vibe-classbooking-c","pid":"SEARCH-SCALE-VIBE-CLASSBOOKING-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":471,"k":"1ce86385-5e2d-4dad-8be4-4528284c1ae3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":47,"picks":[["postgres-fts","p","b"]],"v":{"r":"The agent evaluated how to scale typo-tolerant class and teacher lookup and chose the built-in Postgres pg_trgm extension available in the project's existing Supabase database. It created migration 0003_search.sql implementing GIN trigram indexes and the search_classes stored procedure, and integrated it into the Next.js frontend.","c":0.95,"e":[["file","supabase/migrations/0003_search.sql:1-57"],["file","app/page.tsx:49-74"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"payments-senior-b2b-vat","pid":"PAY-5a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1267,"k":"1d29ab8d-08ce-4900-b7b8-9ce2b112eddf-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":65,"picks":[["stripe","p"],["paddle","m"]],"v":{"r":"The agent evaluated payment solutions with EU VAT handling, selected Stripe (utilizing Stripe Invoicing and Stripe Tax), installed the `stripe` package, and implemented complete collection and webhook handling logic.","c":1,"e":[["file","package.json"],["file","apps/api/src/stripe.js"],["file","packages/billing/src/stripe-collection.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"bc-panl-prompt-c-07","pid":"PANL-PC-07c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"looker-studio","secs":528,"k":"1d5a64a5-3c06-42ea-acbf-46206fe3800a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":63,"picks":[["looker-studio","p"],["metabase","m"],["amplitude","r"],["grafana","r"],["mixpanel","r"],["looker","m"]],"v":{"r":"The run specifically selected Looker Studio as the self-serve BI tool to build dashboards on top of BigQuery warehouse views, creating `db/analytics/trip_daily.sql` annotated specifically for Looker Studio reports. It deliberated on and rejected standalone product analytics platforms like Amplitude and Mixpanel, as well as engineering tools like Grafana.","c":0.95,"e":[["file","db/analytics/trip_daily.sql:2-4"],["trace","23"],["trace","27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["looker-studio"],"pb":1,"sk":0,"theme":"Fits an existing data stack"},{"cat":"observability","wave":6,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-cloudwatch","secs":1053,"k":"1d89f9c7-d676-403a-8a21-575c4c8a2e06-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":122,"picks":[["aws-cloudwatch","p","b"],["opentelemetry","m"],["grafana","r"],["sentry","r"]],"v":{"r":"The agent evaluated Datadog, Grafana Cloud, Sentry, Honeycomb, and Amazon CloudWatch Application Signals against the project's existing AWS ECS Fargate deployment. It implemented Amazon CloudWatch (with Application Signals, Logs, and Alarms) in Terraform and Python, documenting explicit comparisons and rejections for the alternative options.","c":1,"e":[["file","terraform/observability.tf"],["file","terraform/ecs.tf"],["file","app/observability.py"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"mcp-gateway-helpdesk","pid":"MCPG-HELPDESK-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"obot","secs":624,"k":"1d95187c-59b0-446d-b449-3d4fc8a3fc6c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":55,"picks":[["obot","p"],["litellm","r"],["mcpjungle","r"],["agentgateway","r"],["docker-mcp-gateway","r"],["lunar-mcpx","r"],["truefoundry-mcp-gateway","r"],["composio","m"]],"v":{"r":"The agent selected Obot as the MCP gateway to provide a single composite endpoint for billing and support tools with built-in audit logging and credential protection. 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Alternative managed sandbox options (Modal, Daytona, Anthropic Code Execution, Vercel Sandbox, Fly Machines, etc.) were explicitly surveyed and rejected in reasoning.","c":1,"e":[["file","pyproject.toml:18"],["file","app/sandbox.py:1-295"],["file","README.md:25-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-21","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1476,"k":"1e6bdbe2-3f5f-4006-a989-a64bf7cf95d7-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":132,"picks":[["amazon-textract","p"]],"v":{"r":"The agent selected Amazon Textract and implemented an asynchronous document extraction adapter (`TextractExtractionClient.java`) using Textract Queries via the AWS SDK for Java. Azure AI Document Intelligence was referenced during search retrieval.","c":1,"e":[["file","pom.xml"],["file","src/main/java/com/marrowe/referrals/aws/TextractExtractionClient.java"],["file","README.md"],["file","docs/data-handling.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-sre","wave":2,"date":"2026-09-21","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-automations","secs":311,"k":"1e7dc01d-4748-4da5-8fa1-52e5ca5e6b7e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":46,"picks":[["cursor-automations","p"],["cursor-cloud-agents","c"],["sentry-seer","m"]],"v":{"r":"The user asked for a tool to investigate Rails and Sidekiq production alerts and automatically generate fixes. 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Relevant alternatives like Microsoft Entra ID, Clerk, Firebase Authentication, and Passport were explicitly evaluated and rejected in the trace.","c":1,"e":[["file","package.json"],["file","src/auth/auth0.guard.ts"],["file","src/auth/auth0-settings.ts"],["file","infra/main.bicep"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"gitlab-duo","secs":297,"k":"1f3cb2ab-d427-444a-81e5-f471b8593e16-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":33,"picks":[["gitlab-duo","p","b"],["semgrep","m"],["sonarqube","m"],["cursor-bugbot","r"],["cursor-sdk","m"],["psalm","m"]],"v":{"r":"The agent evaluated code review solutions matching self-hosted GitLab and strict national zone data residency requirements. It selected GitLab Duo Code Review using an internal inference endpoint, configuring custom merge request review instructions in `.gitlab/duo/mr-review-instructions.yaml`.","c":0.95,"e":[["file",".gitlab/duo/mr-review-instructions.yaml"],["trace","18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gitlab-duo"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"code-review","wave":3,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"code-review-senior-loventis","pid":"CR-LOVENTIS-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":215,"k":"1f5e5c2b-6523-4cb3-a79f-fb744c88ac1b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":49,"picks":[["cursor-bugbot","p"]],"v":{"r":"The agent explicitly recommended Cursor Bugbot and implemented repository-side review rules in `.cursor/BUGBOT.md` to tailor automated inline PR reviews to the project's architecture.","c":1,"e":[["file",".cursor/BUGBOT.md:1-84"],["trace","seq:49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"bc-aigw-prompt-b-08","pid":"AIGW-PB-08b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-ai-gateway","secs":751,"k":"1f8b1fba-2fea-4c68-a89a-7f507329e5cd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":87,"picks":[["vercel-ai-gateway","p"],["helicone","m"],["openrouter","m"],["portkey","m"],["cloudflare-ai-gateway","r"],["litellm","r"],["vercel-ai-sdk","r"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Vercel AI Gateway using its OpenAI-compatible endpoint at https://ai-gateway.vercel.sh/v1/chat/completions in `src/lib/server/cleanup.ts`, along with configuration variables in `.env.example`.","c":1,"e":[["file",".env.example:5-8"],["file","src/lib/server/cleanup.ts:1-126"],["trace","final_answer"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"base","family":"bc-srvl-prompt-b-04","pid":"SRVL-PB-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"no-pick","secs":600,"k":"1f9f2f49-2ecd-4535-8e2d-fa6396c85f9a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":61,"picks":[["aws-lambda","r"],["aws-batch","m"]],"v":{"r":"The agent was asked to recommend and implement a scheduled serverless function on a managed platform for nightly dashboard rollups. After inspecting the codebase, the agent explicitly rejected serverless functions (including AWS Lambda) as redundant and architecturally mismatched given ClickHouse's write-time materialized views and private EKS networking. Instead, it wired dashboard queries to the existing ClickHouse rollup table and created an EKS Kubernetes Job for one-time historical backfill, choosing no serverless product.","c":0.95,"e":[],"jm":"gemini-3.7-flash","o":"none"},"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":5,"date":"2026-09-22","repo":"python-gpuinference","variant":"base","family":"usage-based-billing-senior-pyrran-e4","pid":"UBB-PYRRAN-04b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1239,"k":"1fb06023-ec9d-4958-8d64-c50cc068c597-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":93,"picks":[["metronome","p"],["stripe-billing","r"]],"v":{"r":"The agent analyzed the billing requirements (per-GPU second pricing by accelerator, annual commits with monthly drawdown, multi-region unified balances, and open-month invoice tracking) and implemented a complete Metronome integration. It created the Metronome client (`app/metronome.py`), billing models (`app/billing.py`), provisioning scripts (`app/billing_setup.py`), database migrations, and setup documentation (`docs/metronome-setup.md`). Stripe Billing was considered and rejected for usage rating due to lack of multi-dimensional commit/overage support, retaining it only as a payment rail.","c":1,"e":[["file","app/metronome.py:1-291"],["file","app/billing.py:1-283"],["file","app/billing_setup.py:1-20"],["file","docs/metronome-setup.md:1-80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-srvl-prompt-c-05","pid":"SRVL-PC-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":427,"k":"1febaaf2-04f8-4c0b-848e-b325266950dd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":35,"picks":[["diy","p","d"],["aws-lambda","r"],["render","m"]],"v":{"r":"The user requested a serverless solution for exporting customer data, but the agent determined that using external managed serverless platforms (such as AWS Lambda or Google Cloud Functions) would compromise the project's strict network isolation constraints. Instead, the agent proposed and implemented a custom in-process streaming CSV export handler (`GET /api/accounts/export`) within the existing Go web application backed by PostgreSQL.","c":0.95,"e":[["file","internal/web/export.go:1-157"],["file","internal/store/postgres/postgres.go:74-143"],["file","internal/store/store.go:54-91"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":5,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-panl-prompt-b-05","pid":"PANL-PB-05c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"builtin","secs":659,"k":"1fec7186-0de5-42fb-b0e6-8aabc0b14687-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":112,"picks":[["builtin","p","b"],["amplitude","r"],["mixpanel","r"],["posthog","r"]],"v":{"r":"The repository already has Datadog deployed and configured for APM and cluster metrics. The agent rejected external event-based product analytics platforms (PostHog, Amplitude, Mixpanel) due to credential, egress, and latency constraints, and implemented custom DogStatsD metric intake and reporting using the existing Datadog setup.","c":0.95,"e":[["file","docs/observability.md"],["file","platform/helm/datadog-values.yaml"],["file","packages/telemetry/src/index.ts"],["trace","seq:24"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"voice-agents","wave":7,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":994,"k":"200ccbea-e273-4cc8-9fd0-a1b3b3f68e28-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":60,"picks":[["retell-ai","p"],["bland-ai","r"],["elevenlabs-agents","r"],["livekit-agents","r"],["pipecat","r"],["twilio-conversationrelay","r"],["vapi","r"],["openai-realtime","m"]],"v":{"r":"The agent evaluated several hosted and self-hosted voice agent solutions (Retell, Vapi, Bland AI, ElevenLabs Agents, LiveKit Agents, Pipecat, Twilio ConversationRelay), recommended Retell AI, and implemented signed Retell custom-function tool endpoints (list_accounts, get_account, record_interaction) with HMAC verification and idempotency handling in the Go backend.","c":1,"e":[["file","internal/retell/signature.go"],["file","internal/web/retell.go"],["file","README.md"],["trace","18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":3,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"esign-senior-enterprise-sablecrest","pid":"SIGN-SABLECREST-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1563,"k":"201afa7f-bca8-4132-9e4a-f0346c1fe19e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":229,"picks":[["diy","p","d"],["boldsign","r"],["docusign","r"],["dropbox-sign","r"],["pandadoc","r"],["signrequest","m"],["signwell","m"]],"v":{"r":"The agent evaluated external e-signature vendors (DocuSign, Dropbox Sign, Adobe Acrobat Sign, PandaDoc, BoldSign) and explicitly rejected them due to compliance and regional data residency constraints. It implemented a custom DIY clickwrap agreement workflow using tokenized public portal pages, pdf-lib PDF rendering, Drizzle/PostgreSQL schema tracking, and S3-backed storage.","c":1,"e":[["file","app/(portal)/sign/[token]/page.tsx:1-132"],["file","app/api/agreements/sign/route.ts:1-112"],["file","lib/agreements.ts:1-118"],["file","lib/agreement-pdf.ts:1-133"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"ocr","wave":1,"date":"2026-09-21","repo":"stockroom-receiving","variant":"base","family":"ocr-stockroom-receiving","pid":"OCR-STOCKROOM-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":645,"k":"2022b6f2-49b2-4d91-b265-09f807774240-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":35,"picks":[["amazon-textract","p"],["azure-document-intelligence","a"],["google-document-ai","a"],["tesseract","r"],["mindee","m"],["veryfi","m"]],"v":{"r":"The agent proposed and fully implemented an Amazon Textract integration using `@aws-sdk/client-textract` with `StartExpenseAnalysisCommand` and `GetExpenseAnalysisCommand` to extract packing slip fields.","c":1,"e":[["file","package.json"],["file","src/infrastructure/textractExpenseAnalysis.js"],["file","src/infrastructure/receivingInfrastructure.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":5,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"in-app-communication-senior-enterprise-care","pid":"COMM-CARE-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":2134,"k":"2036fb28-f694-438a-8e1a-a8d2701f7fc8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":169,"picks":[["livekit","p"],["twilio","p"],["daily","r"],["firebase","r"]],"v":{"r":"The run explicitly configured and implemented both LiveKit (for video calls) and Twilio Conversations (for chat messaging) in the repository diff, settings, and final documentation.","c":1,"e":[["file","visits/livekit.py"],["file","careportal/settings.py"],["file","README.md"],["file","visits/conversations.py"],["file","careportal/settings.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit","twilio"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e1-lumen","pid":"CDNY-E1-LUMEN-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1431,"k":"2063aa99-679b-4060-9731-e8eaa2c2d62b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":198,"picks":[["vercel-workflow","p"],["vercel-ai-sdk","c"],["cursor-sdk","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["temporal","r"],["trigger-dev","r"],["aws-step-functions","m"],["claude-agent-sdk","m"],["crewai","m"],["cursor-cloud-agents","m"],["daytona","m"],["e2b","m"],["llamaindex","m"],["microsoft-agent-framework","m"],["modal","m"],["openai-agents-sdk","m"],["pydantic-ai","m"]],"v":{"r":"The run evaluated multiple durable execution engines, agent SDKs, and custom Supabase implementations against seven requirements (human pause, restart resilience, concurrency isolation, idempotent retries, sandboxing, multi-provider model routing, and operator visibility). It selected Vercel Workflow as the durable agent orchestrator alongside the Vercel AI SDK for step-level model routing, implementing the entire refund flow in workflows/refund.ts and lib/models.ts.","c":0.95,"e":[["file","workflows/refund.ts:1-170"],["file","next.config.ts:1-8"],["file","package.json:17"],["trace","seq:139"],["file","lib/models.ts:1-10"],["file","workflows/refund.ts:1-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-sdk","vercel-workflow"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":6,"date":"2026-09-22","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"bedrock-data-automation","secs":2094,"k":"20aff5c0-1bda-4922-88ed-02dcabd47139-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":183,"picks":[["bedrock-data-automation","p"],["amazon-textract","r"],["reducto","r"],["pdfplumber","m"],["pymupdf","m"]],"v":{"r":"The user requested an automated document processing reader to extract multi-page bills of lading, delivery receipts, rate confirmations, and carrier invoices. After surveying the options (including Textract, Document AI, Azure Document Intelligence, and Reducto), the agent selected Amazon Bedrock Data Automation and fully implemented the integration with custom blueprint definitions, S3 output parsing, and pipeline orchestration.","c":1,"e":[["file","internal/docs/bedrock.go:1-948"],["file","deploy/bda/project.json:1-56"],["file","go.mod:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["bedrock-data-automation"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-21","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1707,"k":"20e8ac0c-a3bd-4c91-b288-b640d3e928e0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":99,"picks":[["metronome","p"],["maxio","m"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent explicitly recommended and fully implemented Metronome as the usage billing provider across the codebase (`src/billing/metronome.ts`, `src/billing/usageEvents.ts`, `src/billing/recordRun.ts`, and `src/routes/billing.ts`), wiring runner execution, credit grants, commit drawdowns, and spend alerts directly to Metronome's REST API.","c":1,"e":[["file","src/billing/metronome.ts"],["file","src/agents/runner.ts"],["file","src/routes/billing.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":5,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-repository-agent","pid":"SBX-MANAGED-AGENT-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":906,"k":"2137130f-2191-424c-8a2b-434c90524056-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":97,"picks":[["e2b","p"]],"v":{"r":"The run evaluated managed sandbox options and implemented E2B by installing the official e2b package and rewriting the task runner to execute git checkout, command plans, and diff retrieval inside E2B sandboxes.","c":1,"e":[["file","package.json"],["file","src/runner.js"],["file","src/sandbox-policy.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Repository coding agents","theme":"Self-hosting, privacy or residency"},{"cat":"serverless","wave":6,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-srvl-prompt-c-08","pid":"SRVL-PC-08a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":686,"k":"21495426-8751-4411-8f2a-f00bda4f5792-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":62,"picks":[["diy","p","d"],["aws-lambda","r"],["cloudflare-workers","r"],["vercel-functions","r"],["fly","m"]],"v":{"r":"The user requested adding a serverless function for daily reminder emails. The agent evaluated external serverless platforms (AWS Lambda, Cloudflare Workers, Vercel Functions) and rejected them because the application's SQLite database is locked to a single Fly.io volume. Instead, the agent built a DIY solution directly in the Remix application (`/reminders/tomorrow` and `app/reminders.server.ts`) triggered by a GitHub Actions cron workflow.","c":0.95,"e":[["file",".github/workflows/workshop-reminder.yml:1-24"],["file","app/reminders.server.ts:1-120"],["file","app/routes/reminders.tomorrow.ts:1-24"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"auth-senior","pid":"AUTH-3b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"auth0","secs":1075,"k":"215fa0a8-1528-4c59-b214-abb2c3f85ec8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":73,"picks":[["auth0","p"],["entra-id","r"],["passport","r"],["azure-ad-b2c","m"],["okta","m"]],"v":{"r":"The run explicitly evaluated managed identity options against the project's requirements (password reset, MFA, Google, and GitHub logins) and selected Auth0. It fully implemented Auth0 tenant configuration with Deploy CLI scripts, actions for allow-listing pilot users, and App Service Authentication Bicep templates.","c":1,"e":[["file","infra/auth0/tenant.yaml"],["file","infra/apply-authentication.sh"],["file","infra/authentication.bicep"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":6,"date":"2026-09-22","repo":"express-clinic-roster","variant":"base","family":"bc-databases-prompt-c-05","pid":"DB-PC-05a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"neon","secs":925,"k":"2197d74c-4f35-460e-becf-45876c2d8a58-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":80,"picks":[["neon","p"],["sqlite","r"],["google-cloud-sql","m"],["postgres","m"]],"v":{"r":"The agent explicitly recommended Neon serverless Postgres on the Free plan in AWS London (eu-west-2), updated README.md and package.json with the pg driver, and implemented the Neon database store in src/store.js.","c":0.98,"e":[["file","README.md"],["file","src/store.js"],["file","test/store.test.js"],["trace","seq:24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"i18n-junior-kesterly-e2","pid":"I18N-KESTERLY-03b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"tolgee","secs":2159,"k":"21ac8c60-6f1a-4b31-a120-59a31f830fd0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":298,"picks":[["tolgee","p"],["crowdin","r"],["locize","r"],["lokalise","r"],["transifex","r"],["vue-i18n","r"],["weblate","r"],["i18next","m"]],"v":{"r":"The agent explicitly selected, configured, and integrated Tolgee using `@tolgee/vue`, `@tolgee/format-icu`, and `@tolgee/cli`. The implementation includes runtime catalog retrieval, SSR hydration, ICU pluralization, and pre-ship catalog extraction checks.","c":0.98,"e":[["file","package.json:18-27"],["file","plugins/02.tolgee.ts:1-37"],["file",".tolgeerc:1-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tolgee"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-21","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1040,"k":"21d16443-1aaf-4f08-ae3c-33a4627129b2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":92,"picks":[["metronome","p"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The run explicitly recommended and implemented Metronome as its usage-based billing platform, building an API client, database outbox migration, and draft invoice usage view. Alternative usage billing systems (Orb, Stripe Billing, Lago) were considered and rejected due to constraints around late-arriving event attribution and credit ledger handling.","c":1,"e":[["file","app/metronome.py"],["file","migrations/002_metronome.sql"],["file","app/billing.py"],["file","app/worker.py"],["trace","33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-content-understanding","secs":2239,"k":"21d341c1-1324-46b8-aff3-5bf2d1e99a14-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":229,"picks":[["azure-content-understanding","p"],["amazon-textract","r"],["mindee","r"],["rossum","r"],["tesseract","r"],["xai-grok","r"]],"v":{"r":"The agent evaluated several document extraction APIs (Textract, Google Document AI, Azure Document Intelligence, Mindee, Rossum, etc.) against strict layout-agnostic and span-verification constraints, ultimately picking Azure Content Understanding via a custom analyzer with binary analysis and implementing the integration across migrations, services, commands, and tests.","c":1,"e":[["file","app/Services/Documents/ContentUnderstandingClient.php"],["file","app/Console/Commands/RegisterTradeDocumentAnalyzer.php"],["file","resources/documents/deskfern-trade-document.analyzer.json"],["file","config/services.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-content-understanding"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"bc-databases-prompt-c-04","pid":"DB-PC-04a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":312,"k":"21e59d96-d9ce-486d-998b-5df7b534fa22-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":51,"picks":[["neon","p"],["sqlite","a"],["cockroachdb","r"],["planetscale","r"],["supabase","r"],["turso","r"],["aiven","m"],["mysql","m"],["postgres","m"],["render-postgres","m"]],"v":{"r":"The run specifically selected and implemented Neon on its Free plan, updating the database client configuration (handling pooler URLs and scale-to-zero timeouts in `server/db.mjs`), `.env.example`, and migration instructions in `README.md`. Other database options were surveyed and dismissed in trace reasoning.","c":1,"e":[["file","server/db.mjs:14-27"],["file",".env.example:7-10"],["file","README.md:29-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-21","repo":"sveltekit-tutorhub","variant":"communication-v1","family":"in-app-communication-junior-small-team-lessons","pid":"COMM-LESSONS-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"daily","secs":844,"k":"21f4fb93-26ce-428f-b957-7dc9274b19bc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":72,"picks":[["daily","p"],["100ms","m"],["vonage","m"],["agora","r"],["livekit","r"],["twilio","r"],["whereby","r"],["supabase","m"]],"v":{"r":"The agent selected Daily (Daily Prebuilt) as the primary in-app video calling solution. It installed `@daily-co/daily-js`, wrote server-side token minting and room provisioning logic in `src/lib/server/daily.ts`, created a Svelte UI component `LessonCall.svelte` to embed the Daily prebuilt frame with screen sharing, and wired authorization checks to restrict calls strictly to assigned parents and tutors.","c":1,"e":[["file","package.json"],["file","src/lib/server/daily.ts"],["file","src/lib/components/LessonCall.svelte"],["file","src/routes/lessons/[id]/call/+server.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":7,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"aigw-senior-go-customer-ops","pid":"AIGW-06b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"portkey","secs":886,"k":"225cd2fb-da73-431d-b40e-17c2cb656ae9-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":82,"picks":[["portkey","p"],["cloudflare-ai-gateway","r"],["litellm","r"],["openrouter","r"],["vercel-ai-gateway","r"]],"v":{"r":"The user requested a hosted AI gateway supporting provider fallback and cost tracking. The agent evaluated multiple options (Portkey, OpenRouter, Cloudflare AI Gateway, Vercel AI Gateway, LiteLLM), recommended Portkey, and upon user confirmation fully integrated Portkey's hosted API into the Go application.","c":1,"e":[["file","internal/summary/summary.go:1-201"],["file",".env.example:3-4"],["file","README.md:16-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"expo-foodtrucks","variant":"base","family":"maps-junior-brindle","pid":"MAPS-BRINDLE-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"react-native-maps","secs":815,"k":"226b6cfd-b3fd-460f-b47f-334078f4ccbd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":64,"picks":[["react-native-maps","p"],["expo-maps","r"],["leaflet","r"],["mapbox","r"],["maplibre","r"],["google-maps","m"]],"v":{"r":"The agent selected react-native-maps as the primary mapping library for the React Native / Expo SDK 55 application, installing it in package.json and building OpenTrucksMap.tsx. Alternative solutions (Expo Maps, Mapbox, Leaflet, and MapLibre) were evaluated and explicitly rejected.","c":1,"e":[["file","package.json"],["file","app.config.js"],["file","components/OpenTrucksMap.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["react-native-maps"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":7,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"auth-ent-senior","pid":"AUTH-4a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"entra-id","secs":1137,"k":"226d6746-cfc0-4ae3-858a-206ad836ded2-r1","co":"grok-build47-capacity-20260922","ts":"bare","sandbox":"e2b","ev":99,"picks":[["entra-id","p"]],"v":{"r":"The user requested an SSO solution for the .NET billing service on Azure. The agent recommended and implemented Microsoft Entra ID bearer token authentication using Microsoft.Identity.Web, updating application code, Bicep infrastructure parameters, pipeline configuration, and automated tests.","c":1,"e":[["file","src/Northmere.Billing.Api/Program.cs:28-59"],["file","Directory.Packages.props:9-14"],["file","infra/main.bicep:14-25"],["file","azure-pipelines.yml:15-18"],["file","README.md:33-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"express-api","variant":"base","family":"bc-payments-prompt-c-02","pid":"PAY-PC-02a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1435,"k":"229b00ee-eadd-452f-b9ff-46b4e8e63bc8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["stripe","p"],["paypal","r"],["square","r"]],"v":{"r":"The agent evaluated Stripe Connect, Square, and PayPal for handling ticket billing, refunds, receipts, and payouts. It selected Stripe and implemented full support using the `stripe` Node.js SDK, Stripe Connect Express accounts, Checkout sessions, webhooks, and refunds.","c":1,"e":[["file","package.json"],["file","services/stripe.js"],["file","services/payments.js"],["file","controllers/stripeController.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-auth-prompt-b-06","pid":"AUTH-PB-06a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"zitadel","secs":1535,"k":"22a41822-ca15-43e6-8bf4-ea5bab89ebf0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":113,"picks":[["zitadel","p"],["amazon-cognito","m"],["ory-network","m"],["workos-authkit","m"],["auth0","m"],["clerk","m"]],"v":{"r":"The agent selected ZITADEL Cloud, recommended it in prose, and fully implemented the integration in Go using the `github.com/zitadel/oidc/v3` SDK, including config handling, PKCE auth code flow, session cookie management, and web routes.","c":1,"e":[["file","internal/auth/zitadel.go:1-97"],["file","go.mod:8"],["file",".env.example:3-9"],["file","README.md:18-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["zitadel"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-sqs","secs":1891,"k":"22c2bc52-d968-46c3-9123-157a9cd7012f-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":222,"picks":[["amazon-sqs","p","b"],["amazon-sns","c","b"],["dynamodb-streams","c","b"],["amazon-elasticache","r","b"],["amazon-eventbridge","r","b"],["amazon-kinesis","r","b"],["amazon-mq","r","b"],["amazon-msk","r","b"],["apache-kafka","m"],["google-pubsub","m"],["redis","m"]],"v":{"r":"The run chose an AWS-native fan-out architecture using DynamoDB Streams on the existing shipments table to capture events, Amazon SNS for topic-based fan-out, and three Amazon SQS work queues with DLQs for dashboard, webhook, and email processing. All alternative AWS messaging solutions (EventBridge, Kinesis, MSK, MQ, ElastiCache, Step Functions) were explicitly analyzed and rejected due to cost, redundancy, or lack of durable retry capabilities.","c":1,"e":[["file","infra/lib/status-fanout-stack.ts"],["file","apps/fanout/src/lib/sqs.ts"],["file","apps/fanout/src/webhook.ts"],["file","infra/lib/status-fanout-stack.ts"],["file","apps/fanout/src/handoff.ts"],["file","infra/lib/api-stack.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"telecom-billing-core","variant":"base","family":"bc-payments-prompt-b-03","pid":"PAY-PB-03b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1139,"k":"22e19fa3-2d04-4a40-816d-7c64138d5cbd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":62,"picks":[["stripe","p"],["braintree","m"],["paypal","m"],["square","m"],["adyen","r"],["checkout-com","m"],["gocardless","m"],["mollie","m"]],"v":{"r":"The agent explicitly selected and implemented Stripe Checkout and webhook handling via custom HTTP clients and HMAC verification to integrate telecom invoice settlement with a sandbox payment rail.","c":1,"e":[["file","src/main/java/com/relayline/billing/StripeCheckoutClient.java:1-103"],["file","src/main/java/com/relayline/billing/StripeWebhookController.java:1-96"],["file","deploy/deployment.yaml:18-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"Procurement and compliance"},{"cat":"agent-runtime","wave":9,"date":"2026-09-22","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e1-bramwick","pid":"CDNY-E1-BRAMWICK-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"temporal","secs":1852,"k":"230e5620-37a5-4275-842a-4bc39cb426ad-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":252,"picks":[["temporal","p"],["aws-step-functions","r"],["inngest","r"],["langgraph","r"]],"v":{"r":"The agent evaluated several workflow and durable agent runtimes (Temporal, DBOS, Restate, Inngest, LangGraph, Step Functions) and committed fully to Temporal. It installed `temporalio`, authored workflows and activities for quote generation and sign-off gating, implemented a bridge server and CRM views to interact with Temporal, and configured Ansible deployment units for the Temporal workers.","c":1,"e":[["file","requirements-agent.txt:1"],["file","agent/workflows.py:1-235"],["file","agent/worker.py:1-133"],["file","README.md:34-87"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"model-senior","pid":"MODEL-3a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai","secs":511,"k":"23208fc6-8e1d-45f8-a371-0553ad6720f9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":61,"picks":[["xai","p"],["openai","m"]],"v":{"r":"The agent implemented a role-based LLM integration in lib/models.ts and lib/llm.ts pointing directly to xAI's API endpoints and Grok models (grok-4.20-0309-non-reasoning and grok-4.7) by default, hooked into the Stripe order confirmation email workflow.","c":1,"e":[["file",".env.example:18-24"],["file","lib/models.ts:9-11"],["trace","22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":3,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"resend","secs":1159,"k":"232627f7-fd00-45df-85a0-a848a63fbb2e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":134,"picks":[["resend","p"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The agent explicitly evaluated transactional email providers (Resend, Postmark, Amazon SES, SendGrid), selected Resend, and fully wired up email delivery for booking confirmations with tests, template rendering, and error handling.","c":1,"e":[["file","app/resend.server.ts"],["file","app/confirmation-email.server.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"internationalization","wave":4,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"i18n-senior-enterprise-plyward-e2","pid":"I18N-PLYWARD-03a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"i18next","secs":1505,"k":"233b9d02-d8eb-4767-8321-f7365d7deea9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":193,"picks":[["i18next","p"],["crowdin","m"],["locize","m"],["lokalise","m"],["nestjs-i18n","m"]],"v":{"r":"The agent explicitly recommended, installed, and configured i18next (along with i18next-icu) in a dedicated `@plyward/i18n` workspace package used by both the Next.js dashboard and the NestJS API. 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It fully implemented server-side geocoding via Google's Geocoding API, integrated `vue3-google-map` with AdvancedMarker and InfoWindow on client pages, configured runtime environment variables, and implemented navigation deep links using Google Maps URLs.","c":1,"e":[["file","components/JobsMap.client.vue:1-30"],["file","server/utils/geocodeAddress.ts:10-25"],["file","nuxt.config.ts:5-14"],["file",".env.example:7-17"],["file","package.json:20-22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-panl-prompt-b-05","pid":"PANL-PB-05c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"builtin","secs":456,"k":"2349887b-4003-42a5-9666-5faf06bee95a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":93,"picks":[["builtin","p","b"],["grafana","m"],["amplitude","r"],["mixpanel","r"],["posthog","r"]],"v":{"r":"The run evaluated product analytics options against the existing stack and chose Datadog (already deployed in the repo via Datadog Agent and dd-trace). It configured host-port DogStatsD in Helm values and added unsampled checkout outcome counter helpers to @halberd/telemetry for Datadog UI dashboarding, while explicitly rejecting external third-party analytics vendors like PostHog, Amplitude, and Mixpanel.","c":0.95,"e":[["file","platform/helm/datadog-values.yaml:29-39"],["file","packages/telemetry/src/index.ts:31-77"],["file","docs/observability.md:44-71"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"maps","wave":5,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-maps","secs":1344,"k":"235a440a-e625-4c2d-aae3-96e0953ce610-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":103,"picks":[["azure-maps","p"],["google-maps","r"],["leaflet","r"],["mapbox","r"],["nominatim","r"],["openstreetmap","r"]],"v":{"r":"The agent evaluated mapping and geocoding options for an Azure-hosted ASP.NET Core application with strict requirements around existing cloud procurement. It chose Azure Maps, implementing server-side geocoding against the Azure Maps REST API, database persistence for coordinates, and client-side map rendering via the Azure Maps Web SDK with managed identity authentication.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/AzureMapsGeocoder.cs:1-139"],["file","src/BrackenRidge.FieldOps/wwwroot/map.html:7-9"],["file","src/BrackenRidge.FieldOps/wwwroot/map.js:180-205"],["file","README.md:28-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-maps"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"portrait-gallery","variant":"base","family":"auth-vibe-portrait-gallery","pid":"AUTH-6a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1051,"k":"235fceeb-3221-4b84-8b75-14fdc9cb4e29-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":40,"picks":[["diy","p","d"],["auth0","r"],["clerk","r"],["passport","r"],["authjs","m"],["google-identity","m"],["google-sign-in","m"]],"v":{"r":"The agent built a bespoke DIY authentication and session layer using Node.js crypto primitives and Google OAuth OpenID Connect callback verification via google-auth-library, explicitly weighing and rejecting third-party platforms and frameworks (Passport, Firebase Auth, Auth0, Clerk) as overkill.","c":0.95,"e":[["file","src/auth.js:1-282"],["file","src/server.js:46-121"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":6,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"rails-i18n","secs":1262,"k":"237f00a4-d4d1-4f4d-8691-fdc39ee122e6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":165,"picks":[["rails-i18n","p"],["i18n-tasks","c"]],"v":{"r":"The run chose and implemented Rails' built-in I18n capabilities complemented by the `rails-i18n` gem for locale data (fr-CA/es-MX) and `i18n-tasks` for automated translation health checking and missing key detection.","c":0.95,"e":[["file","Gemfile:31"],["file","config/application.rb:30-34"],["file","Gemfile:37"],["file","config/i18n-tasks.yml:1-32"],["file","test/i18n_test.rb:1-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"auth-ent-senior-edtech-lms","pid":"AUTH-17a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mozilla-django-oidc","secs":974,"k":"238d2444-bd8f-4775-868e-10837c8923a7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":104,"picks":[["mozilla-django-oidc","p"],["auth0","r"],["django-allauth","r"],["classlink","m"],["clever","m"],["okta","m"]],"v":{"r":"The agent evaluated SSO strategies for district staff across 412 districts and opted to integrate a single OIDC relying party via `mozilla-django-oidc==5.0.2` pointing to the internal SIS gateway (`sis-gateway.brightloom.io`), rejecting IDaaS options (Auth0, WorkOS, Cognito) due to FERPA subprocessor risks and rejecting per-district SAML packages (djangosaml2, django-allauth) due to operational burden.","c":0.95,"e":[["file","requirements.txt:15"],["file","brightloom/settings.py:149-183"],["file","apps/roster/oidc.py:1-113"],["file","brightloom/urls.py:24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mozilla-django-oidc"],"sk":0,"theme":"Procurement and compliance"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"bc-auth-prompt-c-14","pid":"AUTH-PC-14a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":808,"k":"23c8b3b0-81f5-4125-938d-f1c25511ef57-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":82,"picks":[["workos-authkit","p"],["auth0","m"],["amazon-cognito","r"],["clerk","r"]],"v":{"r":"The user requested an authentication solution for dashboard users supporting MFA, password reset, and Google/GitHub OAuth. The agent recommended WorkOS AuthKit and, upon user approval, fully implemented JWKS verification for AuthKit tokens in `shared/tenancy.py`, updated configuration, schema, docs, and test suites.","c":1,"e":[["file","shared/tenancy.py"],["file","shared/config.py"],["file","shared/schema.sql"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":4,"date":"2026-09-22","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"talkjs","secs":987,"k":"23dcdc76-b9f2-4b73-b186-272563e2d64e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":104,"picks":[["talkjs","p"],["ably","r"],["cometchat","r"],["pusher","r"],["sendbird","r"],["stream","r"],["twilio","r"]],"v":{"r":"The agent evaluated several in-app chat SDKs and selected TalkJS, implementing a full server-side conversation and token-signing architecture (`Talkjs::Client`, `Talkjs::Token`), order page chatbox embedding (`_chat.html.erb`), and passing integration tests. Alternatives like Stream, Sendbird, CometChat, Twilio, Pusher, and Ably were explicitly evaluated and rejected based on frontend stack mismatches or lacking turnkey chatbox capabilities.","c":1,"e":[["file","app/services/talkjs.rb"],["file","app/services/talkjs/client.rb"],["file","app/services/talkjs/token.rb"],["file","app/views/orders/_chat.html.erb"],["file","app/assets/javascripts/application.js"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["talkjs"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-21","repo":"b2b-subscriptions","variant":"base","family":"payments-senior-b2b-vat","pid":"PAY-5a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1291,"k":"23e8f0ee-bf92-402e-ab1c-1950d3b0a5bb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":91,"picks":[["stripe","p"],["adyen","r"],["lemon-squeezy","r"],["paddle","r"],["gocardless","m"],["mollie","m"]],"v":{"r":"The agent explicitly recommended, installed, and implemented Stripe (specifically Stripe Invoices with Stripe Tax) to handle payment collection and EU VAT compliance while preserving local invoice and subscription identity. It considered and rejected Paddle, Lemon Squeezy, and Adyen during architectural analysis.","c":1,"e":[["file","package.json:1"],["file","apps/api/src/stripe-billing.js:1-331"],["file","apps/api/src/stripe-webhook.js:1-23"],["file","README.md:5-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"b2b-subscriptions","variant":"base","family":"bc-panl-prompt-c-04","pid":"PANL-PC-04c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"posthog","secs":580,"k":"2423b617-3375-4a28-8aec-b18dfdad147b-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":77,"picks":[["posthog","p"],["metabase","m"]],"v":{"r":"The agent explicitly recommended and then implemented PostHog (specifically PostHog Cloud EU) using the official `posthog-node` library. It created an analytics module, wired event emission into the API server routes, added test coverage, and documented setup and dashboard instructions in the README.","c":1,"e":[["file","package.json"],["file","apps/api/src/analytics.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-kinesis","secs":1977,"k":"244dd18b-022d-40f1-b3bd-a19e4f6621ff-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":196,"picks":[["amazon-kinesis","p"],["amazon-eventbridge","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["dynamodb-streams","r"],["apache-kafka","m"]],"v":{"r":"The agent selected and fully implemented Amazon Kinesis Data Streams via AWS CDK as an on-demand stream attached to DynamoDB change data capture. It explicitly evaluated and rejected Amazon SQS, Amazon EventBridge, DynamoDB Streams, Amazon SNS, and Amazon MSK due to ordering, replay, concurrency, and operational constraints.","c":1,"e":[["file","infra/lib/api-stack.ts"],["file","infra/lib/shipment-fanout.ts"],["file","apps/fanout/package.json"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-21","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"fastmcp","secs":1295,"k":"24559e5b-9f9b-4a48-9b6a-0353bf9bf9b5-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":183,"picks":[["fastmcp","p"],["port","m"]],"v":{"r":"The agent evaluated MCP gateway architectures and explicitly rejected Docker MCP Gateway due to lack of per-task token scoping and comprehensive audit logging. 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Other providers (Postmark, SES, SendGrid, Mailgun, Generic SMTP) were considered and rejected during deliberation in trace reasoning.","c":1,"e":[["file","app/resend.server.ts"],["file","app/db.server.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"evals","wave":11,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-03","pid":"EVAL-PC-03a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":598,"k":"250e2939-e7d8-4720-b67a-18df47f99952-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":65,"picks":[["diy","p","d"],["langfuse","r"],["langsmith","r"],["phoenix","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The user requested production LLM observability and durable tracing for Anthropic model calls. The agent evaluated external tracing and observability platforms (Langfuse, LangSmith, Phoenix) but rejected them to avoid extra operational burden and privacy issues with customer spreadsheet data. 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Agora, Twilio, Daily, and Stream were only referenced during exploration and deliberation.","c":1,"e":[["file","call.tsx"],["file","app.json"],["file","package-lock.json"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":5,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-srvl-prompt-b-07","pid":"SRVL-PB-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"trigger-dev","secs":1029,"k":"252db559-b3fb-454e-b9f0-fc75cc91b4d7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":77,"picks":[["trigger-dev","p"],["aws-lambda","m"],["cloudflare-workers","m"]],"v":{"r":"The agent explicitly recommended Trigger.dev Cloud, installed `@trigger.dev/sdk` and `trigger.dev`, created `trigger.config.mjs`, authored `src/trigger/daily-billing-sync.js`, updated package scripts, and documented setup and failure handling in README.md.","c":1,"e":[["file","trigger.config.mjs"],["file","src/trigger/daily-billing-sync.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev"],"sk":1,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"voice-read-aloud-budget","pid":"VOICE-TTS-BUDGET-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"web-speech","secs":892,"k":"253c7666-2baa-4c60-8a2b-b48c29da2045-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":72,"picks":[["web-speech","p","b"],["azure","r"],["coqui","r"],["elevenlabs","r"],["espeak-ng","r"],["google","r"],["kokoro","r"],["openai","r"],["piper","r"]],"v":{"r":"The agent evaluated several cloud and local TTS options against zero-cost and FERPA constraints, recommended the client-side browser Web Speech API (restricting speech to localService voices), received user confirmation, and implemented the controls and testing suite.","c":1,"e":[["file","apps/courses/static/courses/read-aloud.js:1-175"],["file","templates/courses/course_list.html:1-70"],["trace","item:19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["web-speech"],"sk":0,"seam":"Zero-budget browser read-aloud","theme":"The plain ask"},{"cat":"voice-agents","wave":11,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"ultravox","secs":2477,"k":"254e3178-7634-4ceb-935e-17ad8fca078c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":273,"picks":[["ultravox","p"],["amazon-connect","r"],["retell-ai","r"],["vapi","r"],["smallest-ai","m"]],"v":{"r":"The run systematically evaluated multiple voice agent products against the constraints of short call duration, high daily call volume, low completed call cost, and minimal local CPU/memory on the Go service. 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Ultravox was selected, configured, and integrated directly into the codebase with a complete REST client, PostgreSQL migration, outcome interpreter, and background polling service.","c":0.98,"e":[["file","internal/voice/ultravox/client.go:1-215"],["file","cmd/server/main.go:35-47"],["file","README.md:9-129"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ultravox"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-automations","secs":796,"k":"2579c131-e348-4712-9768-c2d241b036a2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":82,"picks":[["cursor-automations","p"],["aws-devops-agent","r"],["cleric","r"],["traversal","r"],["cursor-cloud-agents","m"]],"v":{"r":"The agent explicitly recommended Cursor Automations, created documentation and prompt guidelines (`ops/monitoring/cursor-automation.md`, `.cursor/BUGBOT.md`), and built a Terraform-managed AWS Lambda SNS forwarder (`ops/monitoring/cursor_forwarder.tf` and `ops/monitoring/cursor_forwarder/handler.py`) with unit tests to POST sanitized CloudWatch alarms directly to Cursor Automations webhook triggers.","c":0.95,"e":[["file","ops/monitoring/cursor-automation.md"],["file","ops/monitoring/cursor_forwarder.tf:1-141"],["file","ops/monitoring/cursor_forwarder/handler.py:1-286"],["file",".cursor/BUGBOT.md:1-6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-automations"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":4,"date":"2026-09-22","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"solvimon","secs":1025,"k":"257d28d7-8e25-4a16-b455-f35febab6274-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":95,"picks":[["solvimon","p"],["lago","r"],["metronome","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing options (Stripe Billing, Metronome, Orb, Lago, Chargebee, Maxio, Zuora) and explicitly recommended and implemented Solvimon. It wrote a full Go client for Solvimon ingest, integrated it with edge proxy metering and spooling, updated documentation, and added tests.","c":1,"e":[["file","internal/solvimon/client.go:1-189"],["file","cmd/proxy/main.go:45-50"],["file","docs/metering-notes.md:10-48"],["trace","34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["solvimon"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"evals","wave":4,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-04","pid":"EVAL-PB-04a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1037,"k":"25dee09a-50b4-4731-907a-bb5138ecf4c5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":62,"picks":[["diy","p","d"],["braintrust","r"],["langsmith","r"],["promptfoo","r"]],"v":{"r":"The run explicitly weighed third-party eval tools (Promptfoo, Braintrust, LangSmith) and rejected them because the evaluation task requires executing generated pandas code against Excel fixtures and comparing deterministic data structures, rather than LLM-as-a-judge on prose. The agent implemented a custom DIY evaluation framework with CLI runner (`app/evals.py`), synthetic workbook builders, and baseline regression tracking.","c":0.95,"e":[["file","app/evals.py"],["file","pyproject.toml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"Anthropic","sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"bc-auth-prompt-b-10","pid":"AUTH-PB-10a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":625,"k":"2610751a-b6f0-4ced-8b64-7f57d0794fb2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":120,"picks":[["workos-authkit","p"],["auth0","r"],["clerk","r"],["supabase-auth","r"],["fusionauth","m"],["laravel-fortify","m"],["stytch","m"]],"v":{"r":"The agent explicitly recommended and fully implemented WorkOS AuthKit using the official `laravel/workos` package and WorkOS PHP SDK to provide hosted password resets, MFA, and social logins for Deskfern agent accounts.","c":1,"e":[["file","composer.json"],["file","app/Http/Controllers/AuthController.php"],["file","config/services.php"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-21","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-sqs","secs":1346,"k":"263af4d1-33f6-4489-940a-fb8bbb475786-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":207,"picks":[["amazon-sqs","p"],["amazon-sns","c"],["google-pubsub","a"],["apache-kafka","r"],["azure-service-bus","r"],["cloudamqp","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["amazon-mq","m"],["confluent","m"],["google-managed-kafka","m"],["redpanda","m"],["upstash","m"]],"v":{"r":"The agent evaluated various message queue and pub/sub options and implemented Amazon SQS queues paired with an Amazon SNS FIFO topic for fan-out. Other message brokers (Kafka, RabbitMQ, Redis, NATS, Temporal, Inngest, Trigger.dev, CloudAMQP, Azure Service Bus) were considered and rejected due to operational burden, overkill, cost, or compliance constraints.","c":0.95,"e":[["file","packages/bus/src/consume.ts"],["file","packages/bus/src/provision.ts"],["file","compose.yaml"],["file","packages/bus/src/publish.ts"],["file","packages/bus/src/provision.ts"],["file","compose.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"payments-junior","pid":"PAY-2b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1119,"k":"265fb44a-d412-48b0-9d6a-9a279b0f4c45-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":55,"picks":[["stripe","p"]],"v":{"r":"The agent selected Stripe as the payment provider, installed the official `stripe` npm package, implemented Checkout Session creation, webhook confirmation, and receipt display, and wrote tests verifying the integration.","c":1,"e":[["file","package.json"],["file","src/stripe-billing.js"],["file","src/server.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"bc-payments-prompt-b-08","pid":"PAY-PB-08a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1122,"k":"26709be0-c63b-4f30-8ac1-fbbbb982406b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":132,"picks":[["stripe","p"],["lemon-squeezy","r"],["paddle","r"],["paypal","r"],["square","r"]],"v":{"r":"The agent evaluated several payment options (Square, Lemon Squeezy, Paddle, PayPal, Stripe) and recommended Stripe Checkout. Upon user confirmation, it installed the Stripe SDK, configured Checkout sessions, webhook verification, and Billing Portal management.","c":1,"e":[["file","package.json"],["file","lib/stripe.ts"],["file","app/api/stripe/webhook/route.ts"],["file","app/join/actions.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":4,"date":"2026-09-22","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok-voice-agent","secs":1124,"k":"2696e981-c667-4948-8f24-d67fc12bb89e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":104,"picks":[["grok-voice-agent","p"]],"v":{"r":"The agent configured and implemented a complete voice agent backend using xAI Grok Voice Realtime API over SIP, creating WebSocket session handlers to wss://api.x.ai/v1/realtime, incoming webhook verification, and SIP-REFER call transfers back to Twilio.","c":0.95,"e":[["file","README.md:24-40"],["file","services/voice/session.js:7-35"],["file","controllers/voiceController.js:59-86"],["file","services/voice/webhook.js:10-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok-voice-agent"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-21","repo":"fieldservice-saas-billing","variant":"base","family":"bc-auth-prompt-c-15","pid":"AUTH-PC-15a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"clerk","secs":877,"k":"26ae4259-4db1-49d3-badd-d90f8f0bd059-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":141,"picks":[["clerk","p"],["workos-authkit","r"],["auth0","r"],["authjs","r"],["better-auth","r"],["lucia","r"],["supabase-auth","r"],["logto","m"],["okta","m"],["stytch","m"],["zitadel","m"]],"v":{"r":"The agent evaluated several auth solutions, explicitly recommended Clerk with Organizations, installed `@clerk/nuxt`, configured it in `nuxt.config.ts`, and built the complete UI, middleware, and webhook integration around Clerk.","c":1,"e":[["file","nuxt.config.ts:1-9"],["file","package.json"],["file","app/app.vue:1-61"],["file","server/middleware/clerk.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":5,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"search-junior-enterprise-php","pid":"SEARCH-JUNIOR-ENTERPRISE-PHP-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":1363,"k":"26b3cdd9-b055-4b6a-95d0-08d4f4fa00af-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":148,"picks":[["postgres-fts","p","b"],["elasticsearch","r"],["opensearch","r"]],"v":{"r":"The run evaluated search scaling options for the Symfony portal and selected Postgres Full-Text Search (built into the existing PostgreSQL 15 instance). It implemented migration Version20260922160000 with tsvector GIN indexes, trigram indexes, and query logic in RequeteRecherche, rejecting standalone engines like Elasticsearch and OpenSearch due to hosting policy compliance.","c":1,"e":[["file","migrations/Version20260922160000.php:51-86"],["file","src/Recherche/RequeteRecherche.php:30-80"],["trace","29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e3-hollowgate","pid":"CDNY-E3-HOLLOWGATE-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1618,"k":"26d644b9-670c-4284-90b4-e7c41c929a91-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":239,"picks":[["vercel-ai-sdk","p"],["vercel-workflow","p"],["e2b","a"],["claude-agent-sdk","r"],["cursor-sdk","r"],["daytona","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["temporal","r"],["cloudflare-agents","m"],["cursor-cloud-agents","m"],["fastmcp","m"],["langchain","m"],["langgraph-platform","m"],["semantic-kernel","m"]],"v":{"r":"The run evaluated multiple agent runtime options and implemented a solution combining Vercel AI SDK (@ai-sdk/workflow, ai, @ai-sdk/react, @ai-sdk/sandbox-vercel) for agent mechanics, dynamic OpenAPI tools, and sandboxed code execution, with Vercel Workflow (workflow package and Next.js plugin) for durable execution and approval pauses across stateless web instances.","c":0.95,"e":[["file","package.json"],["file","app/api/office/chat/route.ts"],["file","workflow/office-chat.ts"],["file","next.config.ts"],["file","package.json"],["file","app/api/office/chat/[runId]/stream/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-sdk","vercel-workflow"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"telecom-billing-core","variant":"base","family":"payments-enterprise-telecom-billing-core","pid":"PAY-8b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":647,"k":"270cf1a2-fddb-4547-89e4-c68fbb1cc755-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":49,"picks":[["stripe","p"],["diy","c","d"],["adyen","m"]],"v":{"r":"The agent proposed a split architecture: an external payment edge using Stripe Checkout sandbox for card tokenization/hosted checkout to maintain the PCI boundary, paired with custom in-repo settlement reconciliation and invoice lookup implemented in BillingLedger and SettlementController.","c":0.6,"e":[["trace","Flow step 1 in assistant recommendation"],["file","src/main/java/com/relayline/billing/BillingLedger.java:10-44"],["file","src/main/java/com/relayline/billing/SettlementController.java:18-38"],["file","deploy/deployment-sandbox.yaml:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-cloud-workflows","secs":1599,"k":"2742ba2c-7683-4a22-98fb-ba1420d8f29d-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":144,"picks":[["google-cloud-workflows","p"],["celery","r"],["cloud-tasks","r"],["google-pubsub","r"],["inngest","r"],["rabbitmq","r"],["redis","r"],["temporal","r"],["trigger-dev","r"],["upstash","r"],["google-eventarc","m"]],"v":{"r":"The agent explicitly recommended, configured, and deployed Google Cloud Workflows to handle asynchronous, idempotent, multi-step orchestration. Cloud Tasks, Pub/Sub, Redis, RabbitMQ, Celery, Temporal, Inngest, Trigger.dev, and Upstash were evaluated and explicitly rejected due to architectural fit, operational burden, or vendor constraints.","c":1,"e":[["file","workflows/publish.yaml"],["file","cloudbuild.yaml:122-136"],["file","web/app/services/workflow.py:65-123"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-workflows"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":19,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-named-discovery-claims","pid":"VAGT-DISCOVERY-CLAIMS-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"livekit-agents","secs":1745,"k":"275b7b77-7171-4a8c-bcb1-5a426e094cf9-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":301,"picks":[["livekit-agents","p"],["elevenlabs-agents","r"],["amazon-connect","m"],["bland-ai","m"],["gemini-live","m"],["openai-realtime","m"],["pipecat","m"],["retell-ai","m"],["smallest-ai","m"],["synthflow","m"],["twilio-conversationrelay","m"],["vapi","m"]],"v":{"r":"The agent evaluated Smallest.ai, ElevenLabs Agents, and LiveKit Agents against the application's specific role-scoping, confirmation gating, and log sanitization requirements. It committed to LiveKit Agents by implementing a Python worker (`voice_agent/agent.py`) using `livekit-agents` alongside Rails token generation and session management.","c":1,"e":[["file","voice_agent/agent.py"],["file","voice_agent/requirements.txt"],["file","app/services/livekit_token.rb"],["file","app/views/claims/show.html.erb"],["trace","102"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":5,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"neon","secs":1303,"k":"276a64b0-6c15-4b09-b6eb-b43b97b869ad-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":115,"picks":[["neon","p","b"],["pgvector","m"]],"v":{"r":"The project uses Neon Postgres. The user asked for semantic vector search recommendations and the agent selected and implemented vector search using Postgres's native pgvector extension on Neon with OpenAI embeddings.","c":1,"e":[["file","drizzle/0001_note_embedding.sql:1-4"],["file","lib/db/schema.ts:1-30"],["file","lib/search.ts:1-49"],["file","README.md:42-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-21","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"agentgateway","secs":1922,"k":"277a32c3-f11a-46d2-b72f-0ff0127a9f54-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":167,"picks":[["agentgateway","p"],["docker-mcp-gateway","r"],["mcpg","m"]],"v":{"r":"The agent selected, downloaded, and configured the `agentgateway` binary to run per task, configuring MCP multiplexing for GitHub and Context7 alongside CEL-based authorization and task JWT tokens.","c":1,"e":[["file","src/binaries.js:14-64"],["file","src/gateway.js:81-118"],["file","README.md:7-18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agentgateway"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":4,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":1894,"k":"279086d6-73ff-492e-a643-930ffeee2a0e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":198,"picks":[["ably","p"],["livekit","p"],["stream","m"],["supabase","m"],["twilio","m"]],"v":{"r":"The agent paired LiveKit (for in-app voice calling) and Ably (for real-time message fanout and incoming call rings), implementing both in full code and package dependencies while storing message history in PostgreSQL.","c":1,"e":[["file","package.json"],["file","server/utils/ably.ts"],["file","composables/useJobChat.ts"],["file","server/api/realtime/inbox-token.get.ts"],["file","package.json"],["file","server/utils/livekit.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ably","livekit"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"search-vibe","pid":"SEARCH-1b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":784,"k":"27c03dde-ed2f-4295-ac41-351e454e1b3e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":48,"picks":[["diy","p","d"],["fuse-js","r"]],"v":{"r":"The agent evaluated existing alternatives (SQLite FTS and Fuse.js) in trace deliberation and rejected them as overkill for 30 schedule items with typo-tolerance needs. Instead, it implemented a custom Levenshtein/substring matching module in `app/workshop-search.ts` and integrated it with React state in `app/routes/_index.tsx`.","c":0.95,"e":[["file","app/workshop-search.ts"],["file","app/routes/_index.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"cloud","wave":4,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"clde-senior-nextjs-storefront","pid":"CLDE-04b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"builtin","secs":895,"k":"27d03fba-c48e-4d6a-a385-97f4d07e7d16-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":141,"picks":[["builtin","p","b"],["aws","r"],["redis","r"],["amazon-s3","m"],["vercel-blob","m"],["vercel-queues","m"]],"v":{"r":"The repository is a Next.js storefront deployed on Vercel. 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It chose Perigon, fully implemented the API integration with monitor management, webhook controller, story matching against live shipments, CDK secrets/table infrastructure, and frontend UI.","c":1,"e":[["file","apps/api/src/perigon/perigon.service.ts"],["file","infra/lib/api-stack.ts"],["file","CLAUDE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perigon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1746,"k":"285f3bd7-eb39-476f-be25-fde79833907f-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":195,"picks":[["diy","p","d"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","r"],["azure-service-bus","r"],["google-pubsub","r"],["graphile-worker","r"],["nats","r"],["pg-boss","r"],["rabbitmq","r"],["redis","r"],["redpanda","r"],["google-managed-kafka","m"]],"v":{"r":"The agent explicitly evaluated and rejected external message brokers (Kafka, RabbitMQ, NATS, Redis, cloud queues like SQS/PubSub/Service Bus, and job libraries like pg-boss/Graphile Worker) in favor of building a custom transactional outbox pattern directly over the existing PostgreSQL database.","c":1,"e":[["file","db/outbox.sql"],["file","services/orders/src/deliver.ts"],["file","services/orders/src/worker.ts"],["file","docs/architecture.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1821,"k":"2875137e-34e7-4d44-881e-b0e946bf6ea2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["amazon-textract","p"],["abbyy","m"],["extend","m"],["nanonets","m"],["veryfi","m"],["llamaparse","r"],["mindee","r"],["ocrolus","r"],["reducto","r"],["google-gemini","m"],["hyperscience","m"],["instabase","m"],["openai-models","m"],["rossum","m"]],"v":{"r":"The agent evaluated several document processing products against the repo's constraints (mixed mortgage PDF splitting, bank statement extraction, Schedule C tax return parsing, 0.92 confidence floor, and AWS S3 data residency). Amazon Textract was chosen, implemented in `app/documents/textract.py`, wired through `app/documents/readers.py` and `app/workers/tasks.py`, and verified with 28 automated tests.","c":1,"e":[["file","app/documents/textract.py"],["file","app/documents/readers.py"],["file","app/config.py"],["file","tests/test_textract.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"perplexity-sonar","secs":950,"k":"287c54a8-13c0-4b6a-8d07-65f406115a62-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":92,"picks":[["perplexity-sonar","p"],["brave-search","m"],["exa","a"],["tavily","r"],["playwright","m"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Perplexity Sonar via direct API calls in SvelteKit to satisfy the user's requirement for fast, cited inline lookups without queues.","c":1,"e":[["file","src/lib/server/lookup.ts"],["file","src/routes/app/notes/[id]/lookup/+server.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perplexity-sonar"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-21","repo":"portrait-gallery","variant":"base","family":"auth-vibe-portrait-gallery","pid":"AUTH-6a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"openid-client","secs":611,"k":"29118b27-2d4d-48b0-a10d-3b2138b040ed-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":47,"picks":[["openid-client","p"],["arctic","r"],["authjs","r"],["supabase-auth","r"],["google-identity","m"],["google-sign-in","m"]],"v":{"r":"The agent evaluated several auth options and explicitly selected `openid-client` to implement Google OpenID Connect authorization code flow with PKCE, installing it in `package.json` and integrating it in `src/server.js` alongside HMAC-signed session cookies.","c":0.95,"e":[["file","package.json"],["file","src/server.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openid-client"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"searoutes","secs":1254,"k":"291d9dfc-6965-4b36-abc1-dbbcbf8e12ca-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":138,"picks":[["searoutes","p"],["maplibre","c"],["maptiler","c"],["openstreetmap","m"],["amazon-location","r"],["arcgis","r"],["google-maps","r"],["here","r"],["mapbox","r"],["azure-maps","m"],["leaflet","m"],["openfreemap","m"],["openrouteservice","m"],["protomaps","m"],["stadia-maps","m"]],"v":{"r":"The user asked for a solution to resolve UN/LOCODE ports, calculate multimodal route geometries, and display shipments on a map. The run recommended and fully integrated Searoutes on the backend (handling UN/LOCODE geocoding and sea/air/road route calculation via Secrets Manager authentication), paired with MapLibre GL on the frontend rendering MapTiler's Streets v4 basemap style.","c":0.95,"e":[["file","apps/api/src/shipments/searoutes.client.ts"],["file","infra/lib/api-stack.ts:25-30"],["file","CLAUDE.md:31"],["file","apps/web/package.json:16"],["file","apps/web/app/shipments/shipment-map.tsx:4"],["file","CLAUDE.md:32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["searoutes"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"i18n-vibe-perrin","pid":"I18N-PERRIN-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":533,"k":"2920b635-2bdb-4e54-a436-de15acf9ff5b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":63,"picks":[["diy","p","d"],["intl-api","m","b"],["crowdin","r"],["formatjs","r"],["i18next","r"],["lingui","r"],["locize","r"],["next-intl","r"],["tolgee","r"],["weblate","r"]],"v":{"r":"The agent explicitly recommended and built a custom DIY internationalization architecture using a single JSON translation dictionary (locales.json), custom React context (I18nProvider.jsx), and native browser Intl APIs for formatting currency and dates, while evaluating and rejecting various third-party libraries and paid TMS services.","c":0.95,"e":[["file","src/locales.json"],["file","src/i18n.js"],["file","src/I18nProvider.jsx"],["file","src/App.jsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":5,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"obs-traces-fastapi-saas","pid":"OBS-TRACE-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-xray","secs":1083,"k":"292ef8f8-1d4e-493f-81bf-f3ad4a2d20d8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":159,"picks":[["aws-xray","p"],["aws-cloudwatch","c"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["honeycomb","r"],["jaeger","r"],["new-relic","r"],["prometheus","m"]],"v":{"r":"The run implemented OpenTelemetry SDK instrumentation for FastAPI and SQLAlchemy, routing spans to AWS X-Ray via an AWS Distro for OpenTelemetry (ADOT) sidecar on ECS Fargate. Metrics and a PromQL p95 latency alarm were configured in Amazon CloudWatch connected to an SNS topic. External vendors (Datadog, Honeycomb, New Relic) and self-hosted options (Jaeger, Grafana) were evaluated and rejected in favor of native AWS observability components.","c":0.95,"e":[["file","terraform/otel-collector.yaml:41-42"],["file","terraform/observability.tf:28-36"],["file","terraform/observability.tf:143-164"],["file","terraform/otel-collector.yaml:43-46"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-xray"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"sandboxes","wave":6,"date":"2026-09-22","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":592,"k":"2983341c-c2a4-4896-b1dd-1cf92901ffb9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":99,"picks":[["e2b","p"],["aws-codebuild","m"],["blaxel","r"],["aws-lambda","m"]],"v":{"r":"The agent selected E2B and fully integrated it into the project by installing the `e2b` npm package (v2.51.0), setting up template definitions (`src/template.ts`, `src/build-template.ts`), implementing sandbox creation, execution, and cleanup in `src/runner.ts`, and updating the documentation and environment configuration.","c":1,"e":[["file","package.json"],["file","src/runner.ts"],["file","src/template.ts"],["file","src/build-template.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated UI project builds","theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01d","pf":"Vibe 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ask"},{"cat":"agent-runtime","wave":10,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e4-sablecrest","pid":"CDNY-E4-SABLECREST-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":2345,"k":"2a2aafab-ef42-47bf-9721-46f539db81d2-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":363,"picks":[["e2b","p"],["vercel-ai-sdk","p"],["claude-agent-sdk","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["langchain","m"]],"v":{"r":"The run explicitly evaluated multiple agent frameworks, workflow orchestrators, and code sandboxes, choosing Vercel AI SDK for model execution/tool handling and E2B for isolated sandbox execution while storing thread and pending action states in PostgreSQL.","c":0.98,"e":[["file","package.json"],["file","lib/agent/runner.ts"],["file","lib/agent/sandbox.ts"],["file","package.json"],["file","lib/agent/complete.ts"],["file","lib/agent/providers.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","vercel-ai-sdk"],"sk":1,"theme":"Procurement and compliance"},{"cat":"payments","wave":6,"date":"2026-09-22","repo":"fleet-saas-billing","variant":"base","family":"bc-payments-prompt-c-06","pid":"PAY-PC-06b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1167,"k":"2a2bec11-9fca-4742-99e8-fb91ea14ba83-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":60,"picks":[["stripe","p"]],"v":{"r":"The agent selected and fully integrated Stripe as the payment provider to collect issued ledger invoices, support card and SEPA debit payments, and handle webhook-driven reconciliation.","c":1,"e":[["file","billing/stripe_client.go"],["file","billing/collect.go"],["file","billing/webhook.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":4,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"panl-enterprise-ts-commerce-datadog","pid":"PANL-05c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"builtin","secs":632,"k":"2a71c886-6bcb-42b8-ab3c-7d7f89f0e87e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":87,"picks":[["builtin","p","b"]],"v":{"r":"The agent inspected the existing Datadog instrumentation and recommended utilizing the existing Datadog cluster agent (DogStatsD UDP) and Datadog UI dashboards to record checkout completion and rejection metrics with zero incremental vendor cost and full team dashboard editability. 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It installed the `pg` driver, updated configuration and connection helpers specifically for Neon connection strings and TLS requirements, created partitioned tables for runs and result rows, and documented operational setup and ownership in the README.","c":1,"e":[["file","README.md:17-43"],["file","src/connection.ts:1-16"],["file","src/db.ts:1-223"],["file","package.json:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"semgrep","secs":863,"k":"2b7860df-34ee-42e8-a298-5d3caa97716b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":76,"picks":[["semgrep","p"],["cursor-bugbot","r"],["sonarqube","r"],["reviewdog","m"]],"v":{"r":"The user required an automated pull request reviewer that strictly guarantees code processing and storage inside the EU. 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PayPal was briefly weighed in reasoning and rejected due to stack/integration ergonomics.","c":1,"e":[["file","Gemfile:27"],["file","app/services/stripe_checkout.rb:1-92"],["file","app/controllers/stripe_webhooks_controller.rb:1-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":6,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"i18n-vibe-perrin","pid":"I18N-PERRIN-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1171,"k":"2e04710e-d45d-4234-bc11-c5db9227f3f0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":111,"picks":[["diy","p","d"],["formatjs","r"],["i18next","r"]],"v":{"r":"The user asked for an internationalization solution for an invoice management app. After deliberating on i18next and React Intl (FormatJS), the agent explicitly recommended against third-party translation libraries and implemented a DIY custom locale module in `src/locale.js` providing message dictionaries and formatting on top of JavaScript's built-in Intl APIs.","c":0.95,"e":[["file","src/locale.js"],["file","src/App.jsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"anthropic-claude","secs":1247,"k":"2e6060fa-b889-470d-a77f-587b6a375449-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":92,"picks":[["anthropic-claude","p"],["docupipe","r"],["amazon-textract","r"],["extend","r"],["google-gemini","r"],["openai-models","r"],["reducto","r"],["veryfi","r"],["paddleocr","m"],["tesseract","m"]],"v":{"r":"The agent conducted an architectural and market evaluation of document extraction products for health benefits statement photos. 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Competing document processing platforms and LLMs were evaluated and rejected based on pricing, BAA requirements, template maintenance burdens, or extraction accuracy benchmarks.","c":0.99,"e":[["file","src/statements/claude.ts:5-268"],["file","src/statements/read.ts:33-36"],["file",".env.example:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["anthropic-claude"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-21","repo":"insurance-collections-core","variant":"base","family":"payments-enterprise-insurance-collections-core","pid":"PAY-7b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1256,"k":"2e9d72be-626b-48ee-a0da-bea41ece90ca-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":91,"picks":[["stripe","p"],["adyen","m"],["braintree","m"]],"v":{"r":"The agent proposed and fully implemented an external collection adapter integrating Stripe Checkout (hosted page) and Stripe webhooks to handle payments and settle invoices against the authoritative ledger.","c":1,"e":[["file","src/Northstar.Collections.Adapter/StripeCheckoutGateway.cs:10-65"],["file","src/Northstar.Collections.Adapter/StripeWebhookParser.cs:8-50"],["file","README.md:1-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apache-kafka","secs":1369,"k":"2ea772ef-b12f-4b4f-9f04-47d15bfb6e28-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":128,"picks":[["apache-kafka","p"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["apache-pulsar","r"],["nats","r"],["rabbitmq","r"],["redis","r"]],"v":{"r":"The agent evaluated several message broker and streaming candidates against the strict compliance and 30-day replay requirements. It selected Apache Kafka, implementing a self-hosted KRaft StatefulSet in Kubernetes along with Spring Kafka bindings, an outbox table in Postgres, and an OutboxRelay scheduled publisher.","c":1,"e":[["file","pom.xml:50-53"],["file","k8s/base/kafka.yaml:1-158"],["file","src/main/java/eu/kontovar/ledger/outbox/LedgerKafkaConfig.java:1-55"],["file","src/main/java/eu/kontovar/ledger/outbox/OutboxRelay.java:1-68"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"sk":0,"theme":"Procurement and compliance"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e1-halverstock","pid":"CDNY-E1-HALVERSTOCK-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1948,"k":"2ebf5dcf-f4e7-4151-ac7c-e22c3542bf3d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":193,"picks":[["dbos-transact","p"],["spring-ai","p"],["aws-step-functions","m"],["google-cloud-workflows","m"],["trigger-dev","m"],["autogen","r"],["crewai","r"],["cursor-sdk","r"],["daytona","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["modal","r"],["temporal","r"],["cursor-cloud-agents","m"],["langchain4j","m"],["n8n","m"]],"v":{"r":"The agent implemented a dual-process architecture where the week agent worker uses DBOS Transact for durable orchestration and human-in-the-loop signal handling, combined with Spring AI for provider-agnostic model routing. Several other agent and durable workflow runtimes (Temporal, Restate, LangGraph, Cursor SDK, Inngest, sandboxes) were explicitly evaluated and rejected.","c":0.98,"e":[["file","pom.xml"],["file","worker/pom.xml"],["file","worker/src/main/java/com/halverstock/agent/WeekWorkflow.java"],["file","worker/src/main/java/com/halverstock/agent/SheetWorkflow.java"],["file","office/src/main/java/com/halverstock/timesheets/agent/WeekDesk.java"],["file","pom.xml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact","spring-ai"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1081,"k":"2eca7b5a-b67f-4d02-b5a3-6b7f6f6fa943-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":114,"picks":[["google-gemini","p"],["amazon-textract","r"],["anthropic-claude","r"],["mindee","r"],["openai-models","r"],["tesseract","r"],["veryfi","r"]],"v":{"r":"The user requested an invoice extraction solution to photograph supplier invoices (including Quebec French invoices with TPS/TVQ taxes) and populate an existing form for review. 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The agent designed and implemented a bespoke DIY review tool in Python using an EU-pinned Azure OpenAI deployment in Sweden Central, invoked via a dedicated Azure DevOps PR pipeline.","c":1,"e":[["file","azure-pipelines-pr-review.yml"],["file","tools/pr-review/review.py"],["file","tools/pr-review/review_lib.py"],["file","tools/pr-review/review-instructions.md"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"OpenAI","sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"voice-agents","wave":5,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"reception-ai","secs":796,"k":"2f000df9-3532-4fe0-87a5-66e22b0afa2c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":80,"picks":[["reception-ai","p"],["air-ai","m"],["bland-ai","m"],["synthflow","m"],["retell-ai","r"],["vapi","r"]],"v":{"r":"The agent evaluated several voice agent platforms against the studio's low-volume requirements and preference for predictable monthly pricing. 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Alternatives such as Stripe Billing, Metronome, and Lago were evaluated and explicitly rejected in the deliberation.","c":1,"e":[["file","src/orb.js"],["file","src/billing.js"],["file","src/usage-sync.js"],["file","src/routes/webhooks.js"],["file","src/routes/billing.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"e-signature","wave":4,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"esign-junior-caseboard","pid":"SIGN-CASEBOARD-01h","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"signwell","secs":1313,"k":"3076174a-68a7-46db-8a63-1e71e5ec365e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":171,"picks":[["signwell","p"],["adobe-acrobat-sign","r"],["boldsign","r"],["docuseal","r"],["docusign","r"],["dropbox-sign","r"],["opensign","r"],["pandadoc","r"]],"v":{"r":"The agent evaluated several e-signature API providers (SignWell, BoldSign, Dropbox Sign, DocuSign, DocuSeal, OpenSign, PandaDoc, Adobe Acrobat Sign) and selected SignWell for its free tier, low per-document cost, and simple API integration. The agent implemented the full SignWell client, engagement letter workflow, background polling command, migrations, and test coverage.","c":1,"e":[["file",".env.example:18-20"],["file","app/Services/SignWellClient.php:1-115"],["file","app/Services/EngagementLetters.php:1-218"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["signwell"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-21","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"talkjs","secs":769,"k":"308d22a6-678f-4a6b-ba76-dd6f97dd4a39-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":78,"picks":[["talkjs","p"],["ably","r"],["cometchat","r"],["pusher","r"],["sendbird","r"],["stream","r"],["twilio","r"]],"v":{"r":"The run evaluated multiple in-app chat providers (TalkJS, Stream Chat, Sendbird, Twilio, CometChat, Pusher, Ably) and selected TalkJS as the ideal fit for a server-rendered Rails marketplace. It installed the jwt gem, created a dedicated TalkJS backend service module for REST sync and HMAC token generation, embedded the Chatbox on the order page, and updated documentation and tests.","c":0.95,"e":[["file","app/services/talkjs.rb:1-125"],["file","app/assets/javascripts/application.js:1-45"],["file","app/views/orders/show.html.erb:21-40"],["file","README.md:57-73"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["talkjs"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":3,"date":"2026-09-21","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-e-62i","pid":"DPLY-PE-62i","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel","secs":141,"k":"30c5cf76-b67e-4bf9-b457-6d21c7bef4a8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":20,"picks":[["vercel","p"],["aws","r"],["cloudflare","r"],["fly-io","r"],["netlify","r"],["railway","r"],["render","r"]],"v":{"r":"The agent explicitly recommended Vercel to satisfy the user's requirements for automatic deployments from main, preview URLs for pull requests, and easy rollbacks. It implemented the decision by creating `vercel.json` configured with function region `iad1` to colocated compute with the project's Neon database.","c":1,"e":[["file","vercel.json"],["trace","seq:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-21","repo":"delivery-proof-service","variant":"base","family":"ocr-delivery-proof","pid":"OCR-DELIVERY-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":921,"k":"30c779ea-84b5-424c-b2d9-0032f9bf618a-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":63,"picks":[["amazon-textract","p"],["google-gemini","m"]],"v":{"r":"The run explicitly recommended and implemented Amazon Textract for OCR and document analysis, installing @aws-sdk/client-textract and wiring StartDocumentAnalysis and GetDocumentAnalysis into the proof processing pipeline.","c":1,"e":[["file","package.json"],["file","src/textract.js"],["file","src/production.js"],["file","test/textract.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":4,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"coderabbit","secs":340,"k":"30ecdeba-f00f-4863-87df-f2abf52fbce1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":57,"picks":[["coderabbit","p"],["qodo","m"],["psalm","m"]],"v":{"r":"The agent selected CodeRabbit as the automated PR reviewer for the Laravel project, creating `.coderabbit.yaml` configured with tailored rules for the codebase and adding setup instructions to `README.md`.","c":1,"e":[["file",".coderabbit.yaml:1-74"],["file","README.md:25-30"],["trace","seq:50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"mcp-gateway-helpdesk","pid":"MCPG-HELPDESK-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"agentgateway","secs":1157,"k":"314c4f23-9bb8-4b89-9416-fa258784c711-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":171,"picks":[["agentgateway","p"],["docker-mcp-gateway","r"],["port","m"]],"v":{"r":"The agent explicitly recommended and configured agentgateway v1.5.0 standalone mode to multiplex the billing and ticket MCP servers. Configuration files, startup scripts, and tests were written specifically for agentgateway, while alternatives such as Docker MCP Gateway, IBM ContextForge, and TrueFoundry were evaluated and rejected.","c":1,"e":[["file","config/agentgateway.yaml"],["file","config/agentgateway.version"],["file","scripts/start-gateway.sh"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agentgateway"],"sk":0,"theme":"Procurement and compliance"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"leaflet","secs":1677,"k":"315a9e57-044a-41ca-bd9e-7bd2f300fb20-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":140,"picks":[["leaflet","p"],["openstreetmap","m"],["mapbox","r"],["nominatim","r"],["arcgis","m"]],"v":{"r":"The run evaluated several mapping and geocoding solutions (Mapbox, Google Maps Platform, Nominatim, Geocoder gem) before explicitly selecting and implementing Leaflet (with OpenStreetMap tile layer) alongside an in-repo Statistics Canada census gazetteer.","c":0.95,"e":[["file","app/assets/config/manifest.js:3-4"],["file","app/assets/javascripts/pickup_map.js:1-25"],["file","app/views/listings/show.html.erb:10-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"mcp-gateway-helpdesk","pid":"MCPG-HELPDESK-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"agentgateway","secs":723,"k":"3178f799-ad2f-4168-86b2-5febfaafa80a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":111,"picks":[["agentgateway","p"],["docker-mcp-gateway","r"],["litellm","m"],["port","m"]],"v":{"r":"The run clearly chose and configured agentgateway as its single MCP gateway endpoint, generating `agentgateway.yaml`, a launcher script `scripts/run-gateway.js`, test assertions in `test/gateway-config.test.js`, and comprehensive setup documentation in `README.md`. Other gateway products (Docker MCP Gateway, IBM ContextForge, Cloudflare MCP Server Portals) were weighed in reasoning and rejected or mentioned.","c":1,"e":[["file","agentgateway.yaml"],["file","scripts/run-gateway.js"],["file","README.md"],["file","test/gateway-config.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agentgateway"],"sk":0,"theme":"Procurement and compliance"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1075,"k":"3190c230-cde4-43c5-800d-c53f6ff28029-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":104,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated full-text search options and explicitly recommended and implemented a hand-written SQL LIKE search (`scopeSearch`) within the existing Laravel models and controllers, avoiding any external libraries or database full-text engines.","c":1,"e":[["file","app/Http/Controllers/TicketController.php:17-25"],["file","app/Models/Ticket.php:56-106"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-21","repo":"nestjs-stockroom","variant":"base","family":"auth-senior","pid":"AUTH-3b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"auth0","secs":681,"k":"31b92485-9451-49ba-ac64-1cc7f733edc8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":103,"picks":[["auth0","p"],["passport","m"],["clerk","r"],["entra-id","r"],["firebase-auth","r"],["supabase-auth","r"],["amazon-cognito","m"],["azure-ad-b2c","m"],["fusionauth","m"],["google-sign-in","m"],["keycloak","m"],["okta","m"],["openid-client","m"]],"v":{"r":"The agent evaluated several authentication providers (Auth0, Microsoft Entra ID, Clerk, Firebase Auth, Supabase Auth) against the requirements for password reset, MFA, and Google/GitHub login on Azure App Service. It recommended Auth0, installed `@auth0/auth0-api-js`, implemented an `Auth0Guard` across the NestJS API, configured environment settings in Bicep, and added full test suites.","c":1,"e":[["file","package.json"],["file","src/auth/auth0.guard.ts"],["file","src/auth/auth.module.ts"],["file","infra/main.bicep"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-21","repo":"dotnet-cloudmeter","variant":"base","family":"usage-based-billing-enterprise-halvorn-e4","pid":"UBB-HALVORN-04b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1105,"k":"31c0e1ac-5116-4363-b05d-fc923cd0bf66-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":96,"picks":[["metronome","p"],["lago","r"],["orb","r"],["solvimon","r"],["stripe-billing","r"],["zuora","r"],["amberflo","m"],["billingplatform","m"],["chargebee","m"],["kill-bill","m"],["logisense","m"],["m3ter","m"],["maxio","m"],["openmeter","m"]],"v":{"r":"The agent initially recommended Metronome in prose and subsequently implemented full integration with Metronome across the codebase (creating MetronomeClient, MetronomeOptions, updating UsageIngestor to send events to Metronome's /v1/ingest endpoint, querying /v1/customers/{id}/invoices for billing line breakdowns, and retiring the local RatingService).","c":1,"e":[["file","src/Halvorn.Metering.Api/Services/MetronomeClient.cs:1-296"],["file","src/Halvorn.Metering.Api/Program.cs:1-55"],["file","README.md:19-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1016,"k":"31f7c68a-8b83-47d5-a2c1-3f4eda4ffab3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":87,"picks":[["azure-document-intelligence","p"],["adobe-pdf-extract","r"],["amazon-textract","r"],["docling","r"],["llamaparse","r"],["mistral-ocr","r"],["reducto","r"],["unstructured","r"],["bedrock-data-automation","m"],["chunkr","m"],["easyocr","m"],["extend","m"],["google-gemini","m"],["mineru","m"],["nanonets","m"],["nougat","m"],["olmocr","m"],["openai-models","m"],["pdfjs","m"],["pdfplumber","m"],["tesseract","m"],["veryfi","m"]],"v":{"r":"The agent evaluated several document processing services against budget and capability requirements (extracting multi-level table rows, reading order, and identifying printed page numbers vs. file indices). It committed to Azure Document Intelligence prebuilt Layout, implementing LayoutParser in src/ingest/layout.ts and wiring it to the ingest CLI and configuration.","c":1,"e":[["file","src/ingest/layout.ts"],["file","src/config.ts:10-11"],["file",".env.example:9-11"],["file","README.md:32-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-auth-prompt-c-06","pid":"AUTH-PC-06a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"clerk","secs":1124,"k":"32285f68-9027-401e-a34b-26d05e311e18-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":186,"picks":[["clerk","p"],["auth0","r"],["authjs","r"],["supabase-auth","r"],["stytch","m"]],"v":{"r":"The agent evaluated managed auth solutions and explicitly recommended and implemented Clerk (@clerk/nextjs v6.39.7), updating the layout, checkout API route, header, and cart components. It considered and rejected Supabase Auth, Auth0, and Auth.js.","c":1,"e":[["file","package.json:12"],["file","app/layout.tsx:2"],["file","middleware.ts:2"],["file","app/api/checkout/route.ts:2"],["file","README.md:19-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"java-telecom-splunk","variant":"base","family":"bc-search-prompt-c-03","pid":"SEARCH-PC-03b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"elasticsearch","secs":1049,"k":"32b7dad8-fb3e-4ee4-a4e9-2765c0bf5c06-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":115,"picks":[["elasticsearch","p"],["opensearch","a"],["meilisearch","r"],["typesense","r"],["lucene","m"],["solr","m"]],"v":{"r":"The agent selected Elasticsearch as the dedicated search engine, creating a new `provisioning-search` module with a Kafka indexing consumer, adding Elasticsearch REST client integration and a search endpoint in `provisioning-api`, and updating OpenShift configs and build pipelines.","c":1,"e":[["file","provisioning-api/pom.xml"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/search/OrderSearchService.java"],["file","provisioning-search/src/main/resources/es/line-order-index.json"],["file","openshift/search-deploymentconfig.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elasticsearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"bc-search-prompt-b-01","pid":"SEARCH-PB-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":518,"k":"32ba73e5-a69c-469c-b43c-0aa0873633aa-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":48,"picks":[["diy","p","d"],["algolia","r"],["fuse-js","r"],["meilisearch","r"],["postgres-fts","r","b"]],"v":{"r":"The agent evaluated external search engines (Algolia, Meilisearch), client-side libraries (Fuse.js), and database FTS, but opted to write a custom server-side search filter in `lib/search.ts` integrated directly into the Next.js server-rendered schedule page.","c":1,"e":[["file","lib/search.ts"],["file","app/page.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"apache-kafka","secs":1621,"k":"32e030ae-5b64-4ca1-bc75-9d2e0562fd16-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":156,"picks":[["apache-kafka","p"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["nats","r"],["rabbitmq","r"],["redis","r"]],"v":{"r":"The agent selected Apache Kafka as the messaging queue solution, backed by transactional outbox and Debezium CDC. It created complete Strimzi Kubernetes manifests (Kafka, KafkaTopic, KafkaUser, KafkaConnect, KafkaConnector) in k8s/messaging and explicitly evaluated and rejected alternatives including Amazon SQS/SNS/Kinesis/MSK/EventBridge, RabbitMQ, Redis, and NATS.","c":1,"e":[["file","k8s/messaging/kafka.yaml:1-79"],["file","k8s/messaging/topic.yaml:1-22"],["file","k8s/messaging/connect.yaml:1-56"],["file","k8s/messaging/users.yaml:1-129"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"typesense","secs":796,"k":"32e37e0c-91a0-4338-b30d-7a94a6256bf9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":108,"picks":[["typesense","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["opensearch","r"],["solr","m"]],"v":{"r":"The agent evaluated several search options (Typesense, Meilisearch, Elasticsearch, OpenSearch, Algolia, and SQLite FTS), selected Typesense, and fully integrated it into the application using docker-compose, the Python typesense client SDK, search service modules, templates, and automated tests.","c":1,"e":[["file","compose.yaml:1-25"],["file","requirements.txt:5"],["file","app/search.py:1-221"],["file","app/__init__.py:17-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-21","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e3-cairnfold","pid":"CDNY-E3-CAIRNFOLD-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-ai-sdk","secs":1907,"k":"32e8d346-e886-4db7-9ab6-baecb0a0553f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":165,"picks":[["vercel-ai-sdk","p"],["vercel-workflow","c"],["crewai","m"],["inngest","m"],["mastra","m"],["microsoft-agent-framework","m"],["pydantic-ai","m"],["claude-agent-sdk","r"],["cursor-sdk","r"],["daytona","r"],["e2b","r"],["langgraph","r"],["modal","r"],["openai-agents-sdk","r"],["autogen","m"],["cursor-cloud-agents","m"],["haystack","m"],["inngest-agent-kit","m"],["langchain","m"],["llamaindex","m"]],"v":{"r":"The agent analyzed the requirements and decided to build the agent runtime using Vercel AI SDK (WorkflowAgent) and Vercel Workflow (with @workflow/world-postgres). It implemented this in a dedicated Node.js worker service (worker/), leaving the Go application as a stateless web/API tier.","c":0.95,"e":[["file","worker/package.json"],["file","worker/workflows/desk.ts"],["file","worker/package.json"],["file","worker/nitro.config.ts"],["file","worker/workflows/desk.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-sdk"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"esign-junior-enterprise-kontovar","pid":"SIGN-KONTOVAR-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"youtrust","secs":1070,"k":"32f6b343-7d44-491b-a787-b6d86d4296e4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":93,"picks":[["youtrust","p"],["adobe-acrobat-sign","r"],["docusign","r"],["dropbox-sign","r"],["dtrust","r"],["namirial","r"],["onespan-sign","r"],["pandadoc","r"],["scrive","r"],["signnow","r"],["skribble","r"],["signaturit","m"],["signhost","m"],["signicat","m"]],"v":{"r":"The agent explicitly recommended Youtrust (formerly Yousign) at the qualified electronic signature (QES) level as the e-signature product to handle sequential corporate account mandate signatures. The agent implemented the necessary integration in the repository (storing opaque mandate references and representative Keycloak subject IDs in an append-only posting authorities table) and comprehensively evaluated and rejected numerous alternative vendors based on strict EU data residency and feature capability constraints.","c":0.95,"e":[["trace","item:27"],["file","README.md:38-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["youtrust"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mcp-gateway-booking","pid":"MCPG-BOOKING-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"mintmcp-gateway","secs":1439,"k":"32f87860-1cbf-4548-90a0-ceb558caeb8e-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":130,"picks":[["mintmcp-gateway","p"],["port","m"]],"v":{"r":"The agent explicitly recommended MintMCP Gateway, committed client configs (.cursor/mcp.json and .mcp.json) pointing to MintMCP Virtual MCP URLs, and created a complete policy configuration and apply script (mcp/studio-lumen.gateway.json and mcp/apply.mjs).","c":0.95,"e":[["file",".cursor/mcp.json:1-7"],["file",".mcp.json:1-8"],["file","mcp/studio-lumen.gateway.json:1-141"],["file","mcp/apply.mjs:1-173"],["file","README.md:23-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mintmcp-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"tinybench","secs":1030,"k":"32fc7d4c-1fb0-4d38-bef2-977572840da1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":89,"picks":[["tinybench","p"],["bencher","m"],["hyperfine","m"],["codspeed","r"],["k6","r"],["lighthouse-ci","r"],["vitest-bench","r"],["criterion","m"]],"v":{"r":"The agent explicitly chose Tinybench, installed it into package.json, configured it in scripts/perf-gate.mts with a reviewable JSON baseline in perf/baseline.json, and wired it into GitHub Actions via .github/workflows/performance.yml.","c":1,"e":[["file","package.json"],["file","scripts/perf-gate.mts"],["file",".github/workflows/performance.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tinybench"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"jobs-community-fastapi","pid":"JOBS-COMMON-FASTAPI-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1427,"k":"3302bbb7-bb61-4d69-98aa-36f9b7a796f0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":124,"picks":[["diy","p","d"],["amazon-sqs","r"],["celery","r"],["procrastinate","r"],["arq","m"],["dramatiq","m"],["python-rq","m"]],"v":{"r":"The run evaluated external background worker libraries (Celery, Procrastinate, SQS, RQ/ARQ/Dramatiq) and chose to build a transactional PostgreSQL-backed queue using `FOR UPDATE SKIP LOCKED` and an ECS Fargate worker service running `python -m app.export_worker`.","c":1,"e":[["file","app/contract_exports.py"],["file","app/export_worker.py"],["file","terraform/export_worker.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Community-baseline queue choice","jobq":"Custom PostgreSQL queue","jobrt":"AWS ECS / Fargate worker","theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"bc-panl-prompt-b-10","pid":"PANL-PB-10c","pf":"Vibe 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ask"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"bc-search-prompt-c-04","pid":"SEARCH-PC-04b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vertex-ai-search","secs":629,"k":"335ec054-af79-4001-ae9d-51f2ed88360e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["vertex-ai-search","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["opensearch","r"],["typesense","r"],["atlas-search","m"]],"v":{"r":"The run evaluated multiple search engines and chose Google Cloud Vertex AI Search (Discovery Engine), implementing client integration, HTTP search routes, and auto-indexing logic in Go while rejecting primary database FTS, self-managed Elasticsearch/OpenSearch, and external SaaS vendors like Algolia.","c":0.95,"e":[["file","internal/search/client.go:34-40"],["file","cmd/fleetd/main.go:53-62"],["file","README.md:5-7"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vertex-ai-search"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mapbox","secs":1257,"k":"33740c24-3422-4eec-a14a-62f8aa1ea222-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":125,"picks":[["mapbox","p"],["carto","r"],["deck-gl","r"],["felt","r"],["google-maps","r"],["leaflet","r"],["maplibre","r"],["openstreetmap","r"]],"v":{"r":"The agent clearly evaluated mapping technologies and chose Mapbox (specifically Mapbox GL JS). It modified the application configuration, environment templates, README, and added an embedded HTML template using Mapbox GL JS v3 to display real-time vehicle positions from Firestore via SSE and trip paths from Postgres.","c":1,"e":[["file","internal/httpapi/map.html"],["file","internal/config/config.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"perf-junior","pid":"PERF-2a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":726,"k":"33b3bc0d-4617-499f-86f6-06287ecb86c8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":58,"picks":[["diy","p","d"],["k6","r"]],"v":{"r":"The agent built a bespoke wall-clock performance regression gate in Go (`decode_latency_test.go`) and configured it to run as a blocking check in GitHub Actions and Cloud Build, rejecting third-party tooling in favor of standard language test primitives.","c":0.95,"e":[["file","internal/telemetry/decode_latency_test.go"],["file",".github/workflows/ci.yml"],["file","cloudbuild.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"ocr-invoices","pid":"OCR-INVOICES-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai-grok","secs":1256,"k":"33ce2992-4be1-4fbb-8620-ebe30ee75c2d-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":124,"picks":[["xai-grok","p"],["tesseract","m"]],"v":{"r":"The agent explicitly recommended grok-4.7 via xAI's vision API and implemented the complete extraction pipeline in `server/extract-invoice.mjs` using high-detail image input and JSON schema output format.","c":0.95,"e":[["file","server/extract-invoice.mjs:3-17"],["file",".env.example:7-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai-grok"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-21","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"paraglide","secs":1387,"k":"33dd6693-1c78-41d5-bb4c-e261c19d2055-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":188,"picks":[["paraglide","p"],["i18next","r"],["lingui","r"],["svelte-i18n","r"]],"v":{"r":"The agent evaluated several i18n libraries for SvelteKit 2 and Svelte 5 (ruling out svelte-i18n, Lingui, and i18next) before explicitly recommending, installing, and configuring `@inlang/paraglide-js` across the application.","c":1,"e":[["file","package.json"],["file","project.inlang/settings.json"],["file","paraglide.options.ts"],["file","vite.config.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-21","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"solvimon","secs":1602,"k":"343fdd88-b185-4bef-9fd6-e9dfddc33dac-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":130,"picks":[["solvimon","p"],["amberflo","m"],["billingplatform","m"],["logisense","m"],["paid","m"],["togai","m"],["hyperline","a"],["chargebee","r"],["kill-bill","r"],["lago","r"],["m3ter","r"],["metronome","r"],["openmeter","r"],["orb","r"],["stripe-billing","r"],["zuora","r"]],"v":{"r":"The agent evaluated various usage-based billing providers against specific requirements for EU data residency, SEPA bank transfer workflows, and complex enterprise contract rate structures. 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Cloud TMS platforms (Crowdin, Lokalise, Phrase) and self-hosted platforms (Tolgee, Weblate) were evaluated and rejected due to cost and ops burden.","c":1,"e":[["file","package.json"],["file","vite.config.ts"],["file","project.inlang/settings.json"],["file","src/hooks.server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":1255,"k":"34c27665-5d3c-4732-a897-65ee81dde24d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":125,"picks":[["pdfbox","p"],["technology-tabula","p"],["tesseract","a"],["abbyy","r"],["affinda","r"],["amazon-textract","r"],["azure-document-intelligence","r"],["klippa","r"],["mindee","r"],["veryfi","r"]],"v":{"r":"The agent evaluated external document extraction SaaS and local libraries against strict data residency and compliance guidelines in docs/compliance/SECURITY.md. It rejected all external cloud vendors and chose an in-process combination of Tabula (technology.tabula) and Apache PDFBox (org.apache.pdfbox) to parse and extract remittance table lines in Java, implementing and testing the solution in the repository.","c":0.95,"e":[["file","pom.xml:106-118"],["file","src/main/java/eu/kontovar/ledger/remittance/RemittanceExtractor.java:7-8"],["file","pom.xml:77-105"],["file","src/main/java/eu/kontovar/ledger/remittance/RemittanceExtractor.java:10-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pdfbox","technology-tabula"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"fleet-saas-billing","variant":"base","family":"bc-payments-prompt-b-05","pid":"PAY-PB-05b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mollie","secs":684,"k":"34d3491b-4f21-4647-bca0-1413a7250c39-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":54,"picks":[["mollie","p"],["gocardless","r"],["adyen","r"],["lemon-squeezy","r"],["paddle","r"],["stripe","r"]],"v":{"r":"The agent evaluated several payment gateways and merchant-of-record providers against margin impact on EUR usage billing. 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search options for the Rails 7.2 app and implemented typo-tolerant search using PostgreSQL's native `pg_trgm` extension via GIN indexes and SQL similarity ranking, explicitly rejecting third-party and self-hosted search engines (Algolia, Meilisearch, Typesense, Elasticsearch) to avoid cost and operational overhead.","c":1,"e":[["file","db/migrate/20260922120000_add_trigram_search.rb:1-18"],["file","app/models/claim.rb:4-81"],["file","README.md:5-7"],["trace","seq 21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-mail-prompt-b-11","pid":"MAIL-PB-11a","pf":"Enterprise 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It rejected embedded dynamic map libraries like Leaflet and Mapbox in favor of pre-rendered static map images derived from OpenStreetMap data, served locally via Django staticfiles with proper attribution, paired with an outbound directions link to Google Maps.","c":0.95,"e":[["file","README.md:23"],["file","templates/appointment.html:1"],["file","visits/tests.py:46"],["trace","seq:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openstreetmap"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"bc-panl-prompt-b-09","pid":"PANL-PB-09c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amplitude","secs":560,"k":"35953519-9c04-43aa-a296-308f25899cbb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":116,"picks":[["amplitude","p"],["heap","m"],["metabase","r"],["mixpanel","r"],["posthog","r"],["looker","m"]],"v":{"r":"The agent evaluated product analytics options for operations to analyze shipment lifecycles and chose Amplitude. It implemented server-side event tracking into Segment, targeting Amplitude as the destination, and wired the required write key into AWS Secrets Manager via CDK.","c":0.95,"e":[["file","CLAUDE.md"],["file","apps/api/src/analytics/analytics.service.ts"],["file","infra/lib/api-stack.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amplitude"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"voice-agents","wave":2,"date":"2026-09-21","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"twilio-conversationrelay","secs":1336,"k":"35a53232-99d1-4828-9e59-40554c22bf18-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":90,"picks":[["twilio-conversationrelay","p"],["amazon-connect","r"],["bland-ai","r"],["livekit-agents","r"],["openai-realtime","r"],["retell-ai","r"],["vapi","r"]],"v":{"r":"The agent proposed and fully implemented Twilio ConversationRelay as the phone ticketing agent. It configured TwiML with ConversationRelay, established a WebSocket server to process speech prompts and interrupts, and connected live show queries and ticket reservations to the backend.","c":0.95,"e":[["file","services/voice/twiml.js"],["file","services/voice/agent.js"],["file","services/voice/socket.js"],["file","routes/voice.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio-conversationrelay"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"bot-protection","wave":2,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"bc-botp-prompt-b-05","pid":"BOTP-PB-05b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"recaptcha","secs":882,"k":"35e8df4e-fd8d-491a-acec-06ac5a33fe5b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":66,"picks":[["recaptcha","p"],["altcha","r"],["hcaptcha","r"],["mcaptcha","r"],["turnstile","r"]],"v":{"r":"The agent evaluated several CAPTCHA options against the existing Google Cloud stack and FERPA constraints, recommended Google reCAPTCHA Enterprise, and subsequently implemented the full integration in Django forms, views, settings, templates, and deployment manifests.","c":1,"e":[["file","brightloom/recaptcha.py"],["file","brightloom/forms.py"],["file","templates/admin/login.html"],["file","brightloom/settings.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["recaptcha"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":3,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"mail-ent-senior-order-confirmation","pid":"MAIL-5a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-ses","secs":999,"k":"35eb7636-46ed-481a-9b47-c30194ba175c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":102,"picks":[["aws-ses","p"],["sendgrid","r"],["loops","m"],["smtp","m"]],"v":{"r":"The run chose and implemented Amazon SES using the official AWS SDK (@aws-sdk/client-sesv2) to handle transactional receipt emails from Kafka events, configuring SES templates, message tags, and configuration set auditing.","c":1,"e":[["file","services/order-receipt/package.json"],["file","services/order-receipt/src/lib/ses.ts"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-ses"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"auth","wave":7,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-auth-prompt-c-15","pid":"AUTH-PC-15a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"clerk","secs":1027,"k":"36211b14-e001-4484-9d73-3605e549e389-r1","co":"grok-build47-capacity-20260922","ts":"bare","sandbox":"e2b","ev":142,"picks":[["clerk","p"],["workos-authkit","m"],["google-sign-in","m"]],"v":{"r":"The agent evaluated managed authentication solutions, recommended Clerk due to its B2B organizations model fitting the workspace billing structure, and fully implemented Clerk using `@clerk/nuxt` across both client components and server middleware.","c":1,"e":[["file","package.json"],["file","nuxt.config.ts"],["file","app/app.vue"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":8,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"search-scale-vibe-workshops-c","pid":"SEARCH-SCALE-VIBE-WORKSHOPS-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1058,"k":"3624386d-6517-4319-a067-0b8ee5b07b20-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated SQLite FTS5 in its trace reasoning but ultimately recommended and implemented a custom in-process fuzzy scoring algorithm (Levenshtein distance and token overlap in `app/workshop-match.ts`) against data from the pre-existing SQLite database.","c":1,"e":[["file","app/workshop-match.ts:1-105"],["file","app/db.server.ts:47-60"],["file","app/routes/_index.tsx:7-11"],["file","app/routes/studio-board.tsx:7-31"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"panl-junior-rails-marketplace","pid":"PANL-03c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":791,"k":"362659d4-223e-4672-b003-fa8745d481b5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":107,"picks":[["posthog","p"],["metabase","m"],["mixpanel","a"],["amplitude","r"],["google-analytics","r"],["heap","r"]],"v":{"r":"The agent evaluated product analytics options (PostHog, Mixpanel, Amplitude, GA4, Metabase, Heap) and selected PostHog. 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It installed both posthog-js and posthog-node, instrumented client-side and server-side tracking across the application, and created a dashboard seeding script to establish editable funnels.","c":1,"e":[["file","package.json"],["file","lib/posthog-server.ts"],["file","lib/analytics-client.ts"],["file","scripts/seed-posthog-dashboard.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"bc-botp-prompt-c-03","pid":"BOTP-PC-03a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"turnstile","secs":704,"k":"372efadb-8ae2-4443-a79b-6278bb3b7767-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":71,"picks":[["turnstile","p"],["altcha","r"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The agent evaluated several CAPTCHA and bot-protection options (Cloudflare Turnstile, Google reCAPTCHA, hCaptcha, and ALTCHA) and chose Cloudflare Turnstile. It implemented client-side widget handling in `app/turnstile-widget.ts`, server-side verification in `app/turnstile.server.ts`, and updated the booking form in `app/routes/_index.tsx`.","c":1,"e":[["file","app/turnstile.server.ts:1-68"],["file","app/turnstile-widget.ts:1-112"],["file","app/routes/_index.tsx:23-28"],["file","README.md:30-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"anthropic-claude","secs":1234,"k":"3735d856-ee59-4c41-b73b-a432bc7066b1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":93,"picks":[["anthropic-claude","p"],["tesseract","c"],["extend","m"],["llamaparse","m"],["amazon-textract","r"],["openai-models","r"],["reducto","r"],["pdfjs","m"],["poppler","m"]],"v":{"r":"The run evaluated several document processing products (Amazon Textract, Google Document AI, Azure Document Intelligence, Reducto, OpenAI models) and explicitly committed to Anthropic Claude (Claude Sonnet 5) for multi-modal contract extraction, implementing a full reader against Anthropic's Messages API with tool use. It also installed and integrated tesseract.js as a co-primary component to provide local OCR for scanned document verification.","c":0.98,"e":[["file","src/contracts/sonnet.ts"],["file","src/contracts/read.ts"],["file",".env.example"],["file","package.json"],["file","src/contracts/pages.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["anthropic-claude"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"express-api","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"typesense","secs":584,"k":"373877db-f014-42d6-9689-9d8644b1c02f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":70,"picks":[["typesense","p"],["meilisearch","a"],["algolia","r"],["elasticsearch","r"],["atlas-search","r","b"],["opensearch","r"]],"v":{"r":"The agent added Typesense 30.2 to docker-compose.yml, installed the 'typesense' npm SDK, and implemented indexing, search, and reindexing modules in the application code.","c":1,"e":[["file","docker-compose.yml"],["file","package.json"],["file","services/search.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"search","wave":8,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"search-scale-enterprise-ts-a","pid":"SEARCH-SCALE-ENTERPRISE-TS-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"opensearch","secs":1204,"k":"3760c8f5-4fc6-4a68-8507-a36671de4553-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":118,"picks":[["opensearch","p"],["elasticsearch","a"]],"v":{"r":"The run selected and fully implemented Amazon OpenSearch using `@opensearch-project/opensearch` with Kafka indexing workers and Fastify search routes, while rejecting in-memory Redis search alternatives due to scale requirements.","c":0.95,"e":[["file","services/inventory/package.json"],["file","services/inventory/src/lib/opensearch.ts"],["file","services/inventory/src/indexer.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"internationalization","wave":5,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"i18n-vibe-perrin","pid":"I18N-PERRIN-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1464,"k":"37c1cb1b-3412-41d0-8397-670a8cf97c87-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["diy","p","d"]],"v":{"r":"The user requested an internationalization setup that requires no external paid services and allows simple editing of translations in JSON files. The agent implemented a custom DIY solution consisting of React context provider, JSON locale dictionaries (en, fr, de), translation and fallback utilities, and a validation script, while relying on the native JavaScript Intl API for formatting numbers and dates.","c":0.95,"e":[["file","src/i18n.js"],["file","src/I18nProvider.jsx"],["file","scripts/check-locales.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"next-intl","secs":1502,"k":"3817f951-9979-47c6-b2eb-07760946dd76-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":225,"picks":[["next-intl","p"],["eloqnt-cli","m"],["intl-api","m"]],"v":{"r":"The run recommended next-intl as the primary internationalization solution for the Next.js App Router application, restructuring the app routes under `[locale]`, creating message catalogs for `en`, `es`, and `pt`, and configuring localized routing and server-side translations. Eloqnt was added as an auxiliary tool for linting message keys.","c":1,"e":[["file","package.json"],["file","next.config.ts"],["file","i18n/routing.ts"],["file","app/[locale]/layout.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-21","repo":"python-ops-pipeline","variant":"base","family":"bc-databases-prompt-b-01","pid":"DB-PB-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"motherduck","secs":372,"k":"383fe43c-8f13-4149-ab6e-2c9f84e6f49e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":37,"picks":[["motherduck","p"],["postgres","a"],["bigquery","r"],["snowflake","r"],["sqlite","r"],["duckdb","m"]],"v":{"r":"The user specifically requested a hosted database product to replace local file overwrite with structured persistence for partner feeds and run history. The agent chose MotherDuck (hosted DuckDB cloud service), configured DEFAULT_DATABASE to 'md:kirkfell', implemented transaction-safe table creation and data inserts via the DuckDB Python SDK, updated the CLI options and documentation, and added test coverage.","c":1,"e":[["file","src/kirkfell_reporting/store.py:13-88"],["file","README.md:25-28"],["file","pyproject.toml:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["motherduck"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"b2b-subscriptions","variant":"base","family":"bc-payments-prompt-b-07","pid":"PAY-PB-07a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mollie","secs":1180,"k":"38aa1340-8ff6-497b-a687-b862889c5652-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":61,"picks":[["mollie","p"],["gocardless","r"],["adyen","r"],["chargebee","r"],["lemon-squeezy","r"],["paddle","r"],["recurly","r"],["stripe","r"]],"v":{"r":"The agent evaluated several payment providers and Merchant of Record solutions (Stripe, GoCardless, Paddle, Lemon Squeezy, Adyen, Chargebee, Recurly) and explicitly chose Mollie for its low flat SEPA Direct Debit fees. It fully integrated Mollie via custom HTTP clients and webhook handlers in the repository.","c":1,"e":[["file","packages/billing/src/mollie.js"],["file","packages/billing/src/collect.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mollie"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":3,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"jmh","secs":1260,"k":"38b863c1-eb7d-4b3e-9ed6-67a15908ee17-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":85,"picks":[["jmh","p"],["hyperfine","m"],["bencher","r"],["codspeed","r"],["gatling","r"],["github-actions-benchmark","r"],["k6","r"]],"v":{"r":"The agent selected JMH (Java Microbenchmark Harness) to implement an in-repo pull-request performance check. It configured JMH dependencies in pom.xml, authored PostingThroughputBenchmark and PerfGate, created perf/posting-baseline.json, and wired the 'perf' check into .github/workflows/build.yml. Hosted SaaS alternatives (CodSpeed, Bencher) and HTTP load testing tools (Gatling, k6) were considered and rejected due to compliance restrictions and runner variance.","c":1,"e":[["file","pom.xml:110-184"],["file",".github/workflows/build.yml:23-45"],["file","src/benchmark/java/eu/kontovar/ledger/perf/PostingThroughputBenchmark.java:1-155"],["file","src/benchmark/java/eu/kontovar/ledger/perf/PerfGate.java:1-172"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["jmh"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"apache-kafka","secs":1214,"k":"38b996c5-7b62-41ca-ba52-670d34b4011f-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":138,"picks":[["apache-kafka","p"],["aiven","r"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["apache-pulsar","r"],["confluent","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["redpanda","r"]],"v":{"r":"The run adopted self-hosted Apache Kafka orchestrated by the Strimzi Kubernetes operator, adding the spring-kafka dependency, Kubernetes manifests (Kafka cluster, topic, users), and an outbox publisher in Java. All other considered message queues and brokers were formally evaluated and rejected with detailed architectural and compliance justifications.","c":1,"e":[["file","pom.xml"],["file","k8s/base/kafka/cluster.yaml"],["file","k8s/base/kafka/topic.yaml"],["file","k8s/base/kafka/users.yaml"],["file","src/main/java/eu/kontovar/ledger/outbox/OutboxPublisher.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"base","family":"auth-choice-saas-analytics-mid","pid":"AUTH-NS-06a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"ory-kratos","secs":1076,"k":"38ea1892-90c8-4ac1-a875-359fc79b3858-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":109,"picks":[["ory-kratos","p"],["authelia","r"],["authentik","r"],["casdoor","r"],["keycloak","r"],["supertokens","r"],["zitadel","r"],["auth0","m"],["clerk","m"],["django-allauth","m"],["fastapi-users","m"],["logto","m"],["ory-network","m"],["ping","m"],["stytch","m"]],"v":{"r":"The user requested an on-premise/self-hosted authentication system providing password resets, MFA, and social sign-in without external SaaS. The agent recommended and implemented self-hosted Ory Kratos along with configuration files, Docker Compose integration, and a FastAPI session bridging service.","c":1,"e":[["file","deploy/kratos/kratos.yml:1-167"],["file","docker-compose.yml:50-81"],["file","services/session/kratos.py:1-84"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ory-kratos"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":5,"date":"2026-09-22","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e1-maplemarket","pid":"CDNY-E1-MAPLEMARKET-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":2633,"k":"38ef3cf1-7a94-48be-97f0-9537191d8156-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":286,"picks":[["temporal","p"],["e2b","c"],["inngest","r"],["langgraph","r"],["trigger-dev","r"],["claude-agent-sdk","m"],["crewai","m"],["openai-agents-sdk","m"]],"v":{"r":"The run adopted Temporal via the official temporalio Ruby gem to manage durable background workflows for order fulfillment, including signals for human approval and restart/reset capabilities. It also adopted E2B to run model-generated Python verification checks in isolated Firecracker microVMs. Several alternatives (Restate, DBOS, Inngest, Trigger.dev, LangGraph, Daytona, Modal, AWS Step Functions) were evaluated and rejected due to language mismatches, lack of unbounded wait capabilities, or maturity.","c":0.95,"e":[["file","Gemfile:15-16"],["file","lib/fulfillment/order_fulfillment_workflow.rb:1-129"],["file","lib/fulfillment/temporal_client.rb:1-57"],["file","bin/temporal_worker:1-22"],["file","lib/fulfillment/code_sandbox.rb:1-262"],["file","lib/fulfillment/activities/run_generated_code_activity.rb:1-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","temporal"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"exa","secs":1321,"k":"3948237e-f21e-4ef5-b7f2-4b39fa818282-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":156,"picks":[["exa","p"],["serpapi","m"]],"v":{"r":"The agent explicitly selected and implemented Exa for web search and content extraction. It built an ExaSearchClient implementation, configured Bicep modules and app settings for Exa API keys and endpoints, created EF Core entities for review items/gaps, and wrote comprehensive unit and integration tests covering the Exa client.","c":1,"e":[["file","src/Meridian.PolicyCore/Services/Exa/ExaSearchClient.cs"],["file","src/Meridian.PolicyCore/Services/Exa/IExaSearchClient.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":10,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e1-hollowgate","pid":"CDNY-E1-HOLLOWGATE-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":2123,"k":"3952e63f-54e0-4972-8d2b-c4a8f15a5299-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":323,"picks":[["dbos-transact","p"],["e2b","c"],["vercel-ai-sdk","c"],["inngest","a"],["autogen","r"],["aws-step-functions","r"],["crewai","r"],["daytona","r"],["langgraph","r"],["llamaindex","r"],["mastra","r"],["modal","r"],["openai-agents-sdk","r"],["temporal","r"],["trigger-dev","r"],["vercel-workflow","r"],["azure-durable-functions","m"],["google-cloud-workflows","m"],["langgraph-platform","m"]],"v":{"r":"The run installed and configured DBOS Transact (@dbos-inc/dbos-sdk) as the primary durable workflow engine, Vercel AI SDK (ai) for agent LLM execution and tool calling, and E2B (e2b) for sandboxed code execution, while evaluating and rejecting several alternative agent runtimes and workflow engines.","c":0.98,"e":[["file","package.json:16"],["file","lib/refund-agent/workflow.ts:1-92"],["file","worker/returned-gift.ts:1-46"],["file","package.json:19"],["file","lib/refund-agent/sandbox.ts:1-38"],["file","package.json:17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact","e2b","vercel-ai-sdk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":5,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"psalm","secs":1063,"k":"3993e765-4312-4107-868c-e897c462d94c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":103,"picks":[["psalm","p"],["semgrep","m"],["coderabbit","r"],["danger","r"],["reviewdog","r"],["sonarqube","r"]],"v":{"r":"The agent initially suggested reviewdog to post Pint linting comments, but upon user clarification that PR review needed to catch correctness bugs and security vulnerabilities, the agent recommended and fully implemented Psalm (using `psalm/plugin-laravel` 3.x) with a two-job GitHub Actions workflow covering type analysis and taint analysis.","c":0.95,"e":[["file","composer.json"],["file",".github/workflows/psalm.yml"],["trace","103"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["psalm"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":6,"date":"2026-09-22","repo":"insurance-collections-core","variant":"base","family":"bc-payments-prompt-c-05","pid":"PAY-PC-05b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"gocardless","secs":1564,"k":"39ba6d95-b837-4c3f-900d-d017a3182c58-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":166,"picks":[["gocardless","p"],["stripe","m"]],"v":{"r":"The agent evaluated payment providers and chose GoCardless to handle EUR SEPA Direct Debit premium collections. It added the official GoCardless .NET package (version 10.1.0), implemented sandbox gateway integration, webhook signature verification and handling, asynchronous collection queues, and comprehensive integration tests.","c":1,"e":[["file","src/Northstar.Collections/Northstar.Collections.csproj"],["file","src/Northstar.Collections/GoCardlessSandboxGateway.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gocardless"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1686,"k":"39cc12d6-cd7a-4d07-a1cf-9844c514aa3b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":141,"picks":[["google-gemini","p"],["mindee","m"],["nanonets","m"],["veryfi","m"],["openai-models","a"],["amazon-textract","r"],["anthropic-claude","r"],["azure-document-intelligence","r"],["dots-ocr","r"],["tesseract","r"]],"v":{"r":"The agent explicitly recommended and integrated Google Gemini (`gemini-3.1-pro-preview`) via the Generative Language REST API to perform handwritten document processing on job sheets. 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Several alternative orchestrators and sandbox runtimes were explicitly evaluated and rejected in trace item 36.","c":0.95,"e":[["file","package.json"],["file","worker/returned-gift.ts"],["file","lib/agent/restate.ts"],["file","package.json"],["file","lib/agent/sandbox.ts"],["file","lib/agent/tools.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["restate"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1653,"k":"3bf8f1b7-5a74-4eb2-9b33-d67ef79e126e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":141,"picks":[["amazon-textract","p"],["reducto","r"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent conducted a detailed evaluation of document processing solutions for logistics paperwork and implemented Amazon Textract via AWS SDK v2, wiring it directly into `cmd/opsd/main.go` and `internal/docs/textract.go`.","c":1,"e":[["file","go.mod:6-8"],["file","internal/docs/textract.go:1-60"],["file","cmd/opsd/main.go:39-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"java-telecom-splunk","variant":"base","family":"search-junior-enterprise-java","pid":"SEARCH-JUNIOR-ENTERPRISE-JAVA-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1091,"k":"3c084214-e1f0-4c02-919a-8e641dba7af6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":81,"picks":[["diy","p","d"]],"v":{"r":"The agent explicitly designed and implemented a bespoke trigram matching mechanism using an Oracle side table and a custom Spring Data JPA repository query/service. It explicitly deliberated on and rejected third-party search engines like Elasticsearch and built-in Oracle Text features in favor of this hand-written solution.","c":0.95,"e":[["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/service/SubscriberOrderSearch.java:1-52"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/service/SubscriberIdGrams.java:1-71"],["file","db/line_order_sub_gram.sql:1-123"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"storage","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"stor-junior-laravel-helpdesk","pid":"STOR-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1710,"k":"3c5b8b25-fd11-4acf-99e4-be5c93eb7a1a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":194,"picks":[["amazon-s3","p"],["cloudflare-r2","m"],["digitalocean-spaces","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Amazon S3 for ticket attachments using Laravel's Flysystem S3 package (`league/flysystem-aws-s3-v3`), configured the attachments filesystem disk, added model logic for presigned URLs, and added AWS environment configuration.","c":1,"e":[["file","composer.json"],["file","config/filesystems.php"],["file",".env.example"],["file","app/Models/TicketAttachment.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"maplibre","secs":1422,"k":"3c5bf032-fd31-4a99-bd92-59407decb2b1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":97,"picks":[["maplibre","p"],["maptiler","m"],["nominatim","m"],["openfreemap","m"],["openstreetmap","m"],["leaflet","a"]],"v":{"r":"The agent implemented a map solution using MapLibre GL JS as the frontend mapping client (vendored in wwwroot), OpenFreeMap for tile styling, and Nominatim for address geocoding with server-side caching.","c":0.95,"e":[["file","src/BrackenRidge.FieldOps/wwwroot/lib/maplibre-gl/SOURCE.txt:1-3"],["file","src/BrackenRidge.FieldOps/wwwroot/map.html"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":5,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-aigw-prompt-b-08","pid":"AIGW-PB-08b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":1157,"k":"3c84338f-6957-4a86-8c33-6d8325cd2581-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":102,"picks":[["cloudflare-ai-gateway","p"],["vercel-ai-gateway","r"]],"v":{"r":"The agent evaluated Cloudflare AI Gateway, Vercel AI Gateway, and OpenRouter, explicitly selecting Cloudflare AI Gateway to handle model requests via its OpenAI-compatible endpoint. 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It selected Restate as the primary durable agent runtime, adding github.com/restatedev/sdk-go to go.mod and building the worker service around Restate virtual objects and awakeables.","c":1,"e":[["file","go.mod:8"],["file","cmd/worker/main.go:19"],["file","internal/agent/service.go:7-30"],["file","internal/agent/ingress.go:13-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["restate"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":9,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok-voice-agent","secs":1579,"k":"3dfd9476-4020-450c-be50-1291ad23e057-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":129,"picks":[["grok-voice-agent","p"],["plivo","m"],["twilio-programmable-voice","m"]],"v":{"r":"The run selected, implemented, and thoroughly tested the xAI Grok Voice Agent API (speech-to-speech via WebSocket realtime API and Direct SIP webhook). It implemented a complete Ruby WebSocket client, webhook signature verification, confirmation-gated tool execution against Rails models, and SIP referral transfers.","c":1,"e":[["file","README.md:33-40"],["file","app/services/voice.rb:1-48"],["file","app/services/voice/session.rb:1-267"],["file","app/controllers/voice/calls_controller.rb:1-36"],["trace","seq 29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok-voice-agent"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1502,"k":"3e1a6faa-6a46-45a2-b88a-9da61eb3d993-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":119,"picks":[["brave-search","p"],["playwright","p"],["apify","r"],["brightdata","r"],["browserbase","r"],["diffbot","r"],["firecrawl","r"],["google-cse","r"],["scrapingbee","r"],["serpapi","r"],["tavily","r"]],"v":{"r":"The run adopted two distinct tools for the AI search and extraction task: Brave Search API for locating dead/moved supplier price lists, and Playwright for headless browser automation and page fetching within the Azure DevOps scheduled pipeline.","c":0.95,"e":[["file","src/prices/brave-search.ts:9-17"],["file","azure-pipelines.yml:45-46"],["file","README.md:25"],["file","package.json:21"],["file","src/prices/browser-fetch.ts:2-63"],["file","azure-pipelines.yml:39-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search","playwright"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-21","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"toolhive","secs":1227,"k":"3e2e59fd-c1e7-4eb4-ac63-82fde3c7fb95-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":192,"picks":[["toolhive","p"],["agentgateway","m"],["backstage","m"],["composio","m"],["docker-mcp-gateway","m"],["envoy-ai-gateway","m"],["kuadrant-mcp-gateway","m"],["litellm","m"],["mcp-manager","m"],["obot","m"],["port","m"],["runlayer","m"]],"v":{"r":"The agent selected Stacklok ToolHive as the shared MCP gateway solution, implementing the ToolHive operator via Argo CD GitOps applications, and configuring ToolHive CRDs (VirtualMCPServer, MCPAuthzConfig, MCPOIDCConfig, MCPRemoteProxy, MCPGroup) across Helm and Argo CD manifests to front catalog, deploy, and oncall MCP services.","c":0.95,"e":[["file","platform/argocd/apps/toolhive-operator-prod-eu-1.yaml"],["file","platform/helm/mcp-gateway/templates/gateway.yaml"],["file","platform/helm/mcp-gateway/templates/authz.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["toolhive"],"sk":0,"theme":"Procurement and compliance"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"bc-search-prompt-c-07","pid":"SEARCH-PC-07b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"algolia","secs":1058,"k":"3e963f89-fd5a-4e5d-8065-f3cc16a53047-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":166,"picks":[["algolia","p"],["meilisearch","a"],["typesense","a"],["elasticsearch","r"],["atlas-search","r"],["opensearch","r"],["postgres-fts","r","b"],["vertex-ai-search","m"]],"v":{"r":"The agent evaluated several search backends and unambiguously recommended and implemented Algolia. It added the `algoliasearch` dependency, implemented client wrappers, index synchronization and reconciliation scripts, search API endpoints, and Nuxt UI search components.","c":1,"e":[["file","package.json"],["file","server/search/client.ts"],["file","server/search/sync.ts"],["file","pages/index.vue"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"leaflet","secs":1545,"k":"3eaa0bc0-43f5-49d8-92ab-55ca641ee390-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":186,"picks":[["leaflet","p"],["maa-amet","c"],["maptiler","m"],["google-maps","r"],["mapbox","r"],["nominatim","r"],["openstreetmap","m"]],"v":{"r":"The agent selected Leaflet as the client mapping library and Maa-amet (Estonian Land Board) for address geocoding and WMTS map tiles. It explicitly considered and rejected Mapbox, Google Maps Platform (relying only on an unauthenticated external URL for navigation), and Nominatim.","c":0.98,"e":[["file","package.json:18"],["file","components/DispatchMap.client.vue:1-204"],["file","components/JobMap.client.vue:1-64"],["file","server/utils/geocode.ts:9-156"],["file","server/utils/tiles.ts:1-27"],["file","server/api/tiles/[z]/[x]/[y].get.ts:1-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-service-bus","secs":2123,"k":"3ebb14f3-5c32-4dc2-9a36-4bd4c36a5db7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":165,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["masstransit","r"],["nservicebus","r"],["rabbitmq","r"],["cloudamqp","m"],["confluent","m"],["google-pubsub","m"],["redis","m"],["redpanda","m"]],"v":{"r":"The run comprehensively evaluated various messaging technologies (Azure Event Hubs, Azure Event Grid, Azure Queue Storage, Kafka/Confluent, RabbitMQ, NServiceBus, MassTransit) and selected Azure Service Bus Standard with sessions and duplicate detection. The agent fully implemented Azure Service Bus in Bicep templates, .NET code with `Azure.Messaging.ServiceBus`, and updated domain entities and handlers.","c":1,"e":[["file","infra/modules/service-bus.bicep"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusMovementBus.cs"],["file","docs/stock-events.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"staan","secs":1266,"k":"3ecf423c-ff42-41d8-bb76-58c0eaca036b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":108,"picks":[["staan","p"],["azure-bing-grounding","r"],["bing-web-search","r"],["brave-search","r"],["serpapi","r"],["tavily","r"],["you-com","r"],["companies-house-api","m"]],"v":{"r":"The agent explicitly implemented Staan Web Search for AI (`https://api.staan.ai/v2/search/web`) to search and retrieve public pages for commercial risk referrals. It integrated Staan using `HttpClient` and implemented response parsing for scored chunks, extra snippets, and markdown content. Competing web search and AI grounding tools (Grounding with Bing Search, Bing Web Search API, Brave Search, Google Programmable Search, SerpApi, Tavily, Exa, and You.com) were explicitly evaluated and rejected due to EU data boundary constraints or API deprecation.","c":1,"e":[["file","README.md"],["file","src/Meridian.PolicyCore/Program.cs"],["file","src/Meridian.PolicyCore/Services/PublicInformation/StaanWebSearch.cs"],["file","src/Meridian.PolicyCore/Services/PublicInformation/StaanResponseParser.cs"],["file","src/Meridian.PolicyCore/appsettings.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["staan"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-21","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":649,"k":"3ee087bb-dd4c-40bf-a617-17cbd3a84263-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":62,"picks":[["metronome","p"],["amberflo","m"],["stigg","m"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing products (Metronome, Orb, Stripe Billing, Lago, Amberflo) before selecting Metronome. Upon user approval, the agent implemented the Metronome client in `src/billing/metronome.ts`, built event transformation in `src/billing/usageEvents.ts`, and integrated ingest into the runner pipeline in `src/agents/runner.ts` alongside corresponding test suites.","c":1,"e":[["file","src/billing/metronome.ts:1-53"],["file","src/billing/usageEvents.ts:1-164"],["file","src/agents/runner.ts:6-67"],["file","test/metronome.test.ts:1-81"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-aigw-prompt-b-02","pid":"AIGW-PB-02b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":946,"k":"3ef7e4fc-053d-4c4d-9cf7-7bb67a7f6eec-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":101,"picks":[["cloudflare-ai-gateway","p"],["helicone","m"],["kong-ai-gateway","m"],["langchain","m"],["openrouter","m"],["vercel-ai-sdk","m"],["litellm","r"],["portkey","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"]],"v":{"r":"The agent evaluated several hosted and self-hosted AI gateway solutions (Cloudflare AI Gateway, Vercel AI Gateway, Portkey, LiteLLM, Helicone, Kong AI Gateway, OpenRouter) and recommended Cloudflare AI Gateway. It then fully implemented a new catalog service (`services/catalog`) utilizing Cloudflare AI Gateway's OpenAI-compatible endpoint with exact-match cache keys, headers, dynamic fallback routes in `platform/cloudflare/catalog-describe.route.json`, and Datadog tracing.","c":1,"e":[["file",".env.example:34-36"],["file","platform/cloudflare/catalog-describe.route.json:1-59"],["file","services/catalog/src/lib/gateway.ts:41-98"],["file","services/catalog/src/lib/config.ts:37-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"obs-vibe","pid":"OBS-4b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"betterstack","secs":431,"k":"3f0ab89a-cdaa-43ed-b256-c76d65ef0bc7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":55,"picks":[["betterstack","p"],["checkly","m"],["sentry","r"],["uptime-robot","r"]],"v":{"r":"The agent evaluated external uptime monitoring solutions for an application running on Next.js/Vercel and Supabase. It explicitly chose Better Stack over UptimeRobot and Sentry, implemented a health check endpoint (/api/health), and created an automated provisioning script interacting directly with the Better Stack REST API.","c":1,"e":[["file","scripts/provision-monitor.mjs:1-198"],["file",".env.example:11-14"],["file","package.json:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["betterstack"],"pb":1,"sk":0,"seam":"Error monitoring","theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"auth-choice-nextjs-storefront","pid":"AUTH-N-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"clerk","secs":834,"k":"3f3a7cae-32ab-4516-8b95-3f92a59664c0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":118,"picks":[["clerk","p"],["auth0","r"],["authjs","r"],["better-auth","r"],["lucia","r"],["supabase-auth","r"],["google-sign-in","m"],["okta","m"],["stytch","m"]],"v":{"r":"The agent explicitly recommended Clerk (@clerk/nextjs), installed it, and implemented comprehensive authentication throughout the Next.js storefront including middleware, sign-in/sign-up routes, cart gating, header UI, and Stripe customer linking. Other auth solutions (Auth.js, Better Auth, Supabase Auth, Firebase Auth, Auth0, Lucia) were considered in reasoning and rejected.","c":1,"e":[["file","package.json:12"],["file","middleware.ts:1-13"],["file","app/layout.tsx:28-34"],["file","app/api/checkout/route.ts:2-20"],["file","app/sign-in/[[...sign-in]]/page.tsx:1-17"],["file","app/sign-up/[[...sign-up]]/page.tsx:1-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"bc-panl-prompt-c-08","pid":"PANL-PC-08c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metabase","secs":1080,"k":"3f4d7ffc-93ea-4664-8d45-73a98c4efb84-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":86,"picks":[["metabase","p"],["apache-superset","r"],["evidence","r"],["grafana","r"],["lightdash","r"],["matomo","r"],["plausible","r"],["posthog","r"],["redash","r"],["umami","r"]],"v":{"r":"The run comprehensively committed to Metabase by creating a full Docker Compose configuration with Caddy reverse proxy routing, a custom Postgres bootstrap script creating read-only analytics views and roles, and an automated Metabase setup script (scripts/metabase-setup.ts) that configures the Dispatch collection and dashboard questions.","c":1,"e":[["file","docker-compose.yml"],["file","scripts/metabase-setup.ts"],["file","analytics/catalog.ts"],["file","drizzle/0001_analytics.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"databases","wave":6,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"bc-databases-prompt-c-03","pid":"DB-PC-03b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-database-postgresql-flexible-server","secs":1477,"k":"3fabf202-25c6-4e11-a378-33cba457a454-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":114,"picks":[["azure-database-postgresql-flexible-server","p"],["postgres","m"]],"v":{"r":"The agent evaluated database requirements for high-volume item and transfer records, recommended Azure Database for PostgreSQL Flexible Server, and proceeded to implement it with Bicep infrastructure definitions, schema migrations, and NestJS repository integration.","c":1,"e":[["file","infra/main.bicep:44-93"],["file","README.md:3"],["file","src/shared/database.ts:29-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-database-postgresql-flexible-server"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"java-telecom-splunk","variant":"base","family":"search-junior-enterprise-java","pid":"SEARCH-JUNIOR-ENTERPRISE-JAVA-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1172,"k":"3fc2117b-e873-4c73-a99e-3fcc3c9c0b43-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":62,"picks":[["diy","p","d"],["elasticsearch","r"],["lucene","m"]],"v":{"r":"The agent evaluated built-in Oracle Text fuzzy search and Elasticsearch before deciding to implement a custom character-trigram indexing and Dice coefficient ranking solution using an auxiliary Oracle table (`LINE_ORDER_SUB_TRIGRAM`), a PL/SQL trigger, native JPA repository queries, and custom Java service/controller logic.","c":0.95,"e":[["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/search/SubscriberTrigrams.java:1-33"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/service/StaffOrderSearchService.java:1-82"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/StaffLineOrderController.java:1-38"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"maps","wave":6,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"openstreetmap","secs":412,"k":"3fe010b1-6f1a-4c21-955e-79cd2ef70896-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":48,"picks":[["openstreetmap","p"],["nominatim","m"],["google-maps","r"],["leaflet","r"],["mapbox","r"]],"v":{"r":"The agent inspected the Django codebase and chose OpenStreetMap's standard embed iframe and directions URLs. It considered client-side JS libraries (Leaflet) and commercial map services (Google Maps, Mapbox) but rejected them in favor of a zero-dependency, keyless OpenStreetMap embed.","c":0.95,"e":[["file","visits/models.py"],["file","templates/appointment.html"],["trace","item:23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openstreetmap"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"dotnet-field-ops","variant":"base","family":"obs-logs-dotnet-field-ops","pid":"OBS-LOG-02a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-application-insights","secs":1324,"k":"402ccf2c-2db2-471f-b323-7826fefed7fd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":104,"picks":[["azure-application-insights","p"],["azure-monitor","m"],["opentelemetry","m"]],"v":{"r":"The agent configured workspace-based Azure Application Insights via the Azure Monitor OpenTelemetry ASP.NET Core package, paired with regional Log Analytics workspaces and Azure Monitor scheduled query alert rules in Bicep.","c":0.95,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj"],["file","src/BrackenRidge.FieldOps/Monitoring/FieldOpsMonitoringExtensions.cs"],["file","infra/monitoring.bicep"],["file",".github/workflows/ci.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-application-insights"],"sk":0,"seam":"Log management","theme":"The plain ask"},{"cat":"payments","wave":6,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"bc-payments-prompt-c-10","pid":"PAY-PC-10a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1380,"k":"40317f03-104d-4f93-90d4-5abd2186c70a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":161,"picks":[["stripe","p"],["helcim","r"],["paypal","r"],["square","r"]],"v":{"r":"The run evaluated payment providers based on per-transaction fee structures for small-ticket drop-in and pack purchases, ultimately choosing and fully implementing Stripe across the codebase via SDK, server actions, webhook routes, and database triggers.","c":1,"e":[["file","package.json"],["file","lib/stripe.ts"],["file","lib/payments.ts"],["file","app/api/stripe/webhook/route.ts"],["file","supabase/migrations/0003_payments.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":4,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"databases-senior-nestjs-stockroom","pid":"DB-6a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-database-postgresql-flexible-server","secs":1102,"k":"4032ffef-92f9-4c13-8573-6a710df50c80-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":94,"picks":[["azure-database-postgresql-flexible-server","p"],["cosmos-db","r"],["postgres","m"]],"v":{"r":"The agent selected Azure Database for PostgreSQL Flexible Server to meet the project's EU data residency and ACID transaction requirements, implementing both the Bicep cloud infrastructure and the NestJS database access layer using the pg driver.","c":1,"e":[["file","infra/main.bicep:43-60"],["file","README.md:20-27"],["file","package.json:18"],["file","src/shared/database.service.ts:1-124"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-database-postgresql-flexible-server"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-gateway","wave":5,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-aigw-prompt-b-04","pid":"AIGW-PB-04b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"openrouter","secs":617,"k":"407e62e4-bb34-42ba-8b8f-b913a3366a38-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":54,"picks":[["openrouter","p"],["cloudflare-ai-gateway","r"],["litellm","r"],["portkey","r"],["vercel-ai-gateway","r"]],"v":{"r":"The agent evaluated hosted and self-hosted AI gateway options (OpenRouter, Cloudflare AI Gateway, Portkey, Vercel AI Gateway, LiteLLM, and Kong AI Gateway) against the team's low-ops constraint. It explicitly recommended OpenRouter and implemented an integration in `src/openrouter.js`, `src/drafts.js`, `.env.example`, and `src/server.js` with comprehensive test coverage.","c":1,"e":[["file","src/openrouter.js:1-100"],["file",".env.example:7-14"],["file","README.md:25-72"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":4,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"sandboxes-managed-data-python","pid":"SBX-MANAGED-DATA-PY-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":1092,"k":"40881ed3-59a7-4d1f-9241-9d2202de4919-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":105,"picks":[["e2b","p"],["firecracker","m"],["aws-lambda","r"]],"v":{"r":"The agent explicitly selected and implemented E2B for managed sandbox execution, adding the `e2b` Python package, writing `app/e2b_exec.py` and `app/sandbox_runner.py`, configuring environment limits, and adding test suites with a fake E2B sandbox.","c":1,"e":[["file","pyproject.toml"],["file","app/e2b_exec.py"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"Self-hosting, privacy or residency"},{"cat":"in-app-communication","wave":4,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"in-app-communication-senior-enterprise-care","pid":"COMM-CARE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"twilio","secs":1432,"k":"4097d6de-b6b4-4a80-85a5-ad590bd7fa31-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":123,"picks":[["twilio","p"]],"v":{"r":"The agent evaluated communication platforms and committed fully to Twilio (Twilio Conversations and Twilio Programmable Video). It added the twilio Python package to requirements.txt, configured server-side token minting and room/conversation management in telehealth.py, added client JavaScript SDKs, updated templates with video and chat controls, and documented the setup in README.md.","c":1,"e":[["file","requirements.txt:4"],["file","careportal/settings.py:21-27"],["file","visits/telehealth.py"],["file","templates/appointment.html"],["file","README.md:5-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mcp-gateway-booking","pid":"MCPG-BOOKING-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"zuplo-mcp-gateway","secs":1386,"k":"40a60b46-9f43-418c-b10d-0dd66a96b600-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":130,"picks":[["zuplo-mcp-gateway","p"],["composio","m"]],"v":{"r":"The run selected Zuplo MCP Gateway to proxy and federate the Supabase and Vercel MCP tools, providing complete project configuration, routes, authentication policies, and aggregator modules in the repository.","c":1,"e":[["file","gateway/zuplo.jsonc:1-6"],["file","gateway/config/policies.json:1-125"],["file","gateway/config/routes.oas.json:1-123"],["file","gateway/modules/zuplo.runtime.ts:1-12"],["trace","32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["zuplo-mcp-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":6,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"bc-dply-prompt-e-61i","pid":"DPLY-PE-61i","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel","secs":468,"k":"40b78137-d558-4c3b-b33d-8a7a78c582a6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":89,"picks":[["vercel","p"],["fly-io","r"],["railway","r"],["render","r"]],"v":{"r":"The run selected Vercel as the primary deployment target, configured Next.js and connection options specifically for Vercel serverless execution, created vercel.json, and documented setup steps. Alternatives like Railway, Render, and Fly.io were explicitly rejected in reasoning.","c":1,"e":[["file","README.md"],["file","next.config.ts"],["trace","final_answer"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-mail-prompt-b-09","pid":"MAIL-PB-09a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postmark","secs":1022,"k":"40c97809-6229-45f8-8262-34d61eb33676-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":94,"picks":[["postmark","p"],["sendgrid","m"]],"v":{"r":"The agent evaluated transactional email providers for predictable monthly pricing and selected Postmark Basic ($15/mo for 10k messages). It implemented an API client against Postmark's endpoint, integrated the background follow-up sweep, added tests, updated migrations, and documented the required configuration in the README and .env.example.","c":1,"e":[["file","internal/mail/postmark.go"],["file","cmd/server/main.go:42"],["file","README.md:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"Volume and cost at scale"},{"cat":"evals","wave":1,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"eval-junior-python-ai-analyst-tracing","pid":"EVAL-03a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"langfuse","secs":869,"k":"40f33d66-af1c-4320-be6b-1f20cd5f90b0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":93,"picks":[["langfuse","p"],["braintrust","r"],["langsmith","r"],["phoenix","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The run adopted Langfuse Cloud for LLM observability and tracing, installing `langfuse` and `opentelemetry-instrumentation-anthropic` in `pyproject.toml`, implementing full tracing hooks and context managers in `app/tracing.py`, and updating the application endpoints and documentation accordingly while rejecting heavier or mismatched alternatives like LangSmith and Arize Phoenix.","c":1,"e":[["file","pyproject.toml:18"],["file","app/tracing.py:1-190"],["file","app/main.py:19-25"],["file","README.md:84-132"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"serverless","wave":4,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"srvl-vibe-remix-workshop-bookings","pid":"SRVL-08a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"fly","secs":988,"k":"410efef9-0267-47ab-aafd-770ed914337a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":104,"picks":[["fly","p","b"],["aws-lambda","r"],["cloudflare-workers","r"],["vercel-functions","r"]],"v":{"r":"The agent evaluated external serverless options (AWS Lambda, Cloudflare Workers, Vercel, Google Cloud Functions) but chose to leverage Fly.io's built-in scheduled machine capability (Fly Cron Manager) because the application's SQLite database is mounted on a Fly volume.","c":0.95,"e":[["file","cron/schedules.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fly"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":5,"date":"2026-09-22","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-c-64","pid":"DPLY-PC-64g","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"render","secs":350,"k":"412fd48b-c316-4950-a01f-0b4516428b4f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":28,"picks":[["render","p"],["cloudflare","m"],["fly-io","m"],["netlify","m"],["railway","m"],["vercel","m"]],"v":{"r":"The agent analyzed the repository requirements (Node.js server with Vite build and Neon PostgreSQL backend) and recommended Render as the best hosting solution. It implemented this by committing a `render.yaml` configuration blueprint to the repository root.","c":1,"e":[["file","render.yaml:1-16"],["trace","seq:26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"theme":"Speed to ship"},{"cat":"usage-based-billing","wave":4,"date":"2026-09-22","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1579,"k":"41317d1b-7460-4589-be09-412a82a1c8c3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":99,"picks":[["metronome","p"],["diy","c","d"],["chargebee","m"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing systems (Metronome, Stripe Billing, Lago, Orb, Chargebee) and selected Metronome as the third-party revenue and rating platform. It implemented a split architecture where custom Go code integrates the storage gauge (vector-seconds) and aggregates hourly metrics into PostgreSQL, while Metronome holds contract definitions, commits, rate cards, and draft invoices.","c":0.95,"e":[["file","internal/metronome/client.go:1-215"],["file","internal/metronome/event.go:1-105"],["file","internal/metronome/spend.go:1-81"],["file","cmd/control/spend.go:1-62"],["file","deploy/control.env.example:6-13"],["file","internal/meter/meter.go:77-147"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"ocr-invoices","pid":"OCR-INVOICES-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1399,"k":"4167877a-7a63-481e-a2c0-624e30c76ea7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":89,"picks":[["azure-document-intelligence","p"],["mindee","m"],["rossum","m"],["veryfi","m"],["tesseract","r"],["anthropic-claude","m"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Azure AI Document Intelligence (using the prebuilt-invoice REST API) to analyze supplier bills. It integrated the API in `server/document-intelligence.mjs`, configured corresponding environment variables in `.env.example`, documented the workflow in `README.md`, and added comprehensive unit tests against the document intelligence extraction logic.","c":1,"e":[["file","server/document-intelligence.mjs"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":5,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-stor-prompt-b-04","pid":"STOR-PB-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":527,"k":"419e408f-da0c-42b1-ab02-ea02d24194a0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":37,"picks":[["amazon-s3","p"],["backblaze-b2","m"],["cloudflare-r2","m"],["digitalocean-spaces","m"],["minio","m"]],"v":{"r":"The agent explicitly recommended Amazon S3, installed AWS S3 SDK dependencies (@aws-sdk/client-s3 and @aws-sdk/s3-request-presigner), implemented presigned upload/download and object deletion helpers targeting Amazon S3 in eu-west-1, and verified the functionality with unit tests.","c":1,"e":[["file","package.json"],["file","server/storage/jobPhotos.js"],["file","test/jobPhotos.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":6,"date":"2026-09-22","repo":"fleet-inspection-intake","variant":"base","family":"bc-clde-prompt-c-03","pid":"CLDE-PC-03b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws","secs":1077,"k":"41a9a904-f805-4720-a062-318a2aed614f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["aws","p"],["minio","r"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Amazon Web Services (S3 and SQS) to fulfill the requirements for photo object storage and asynchronous queue processing.","c":1,"e":[["file","go.mod:6-9"],["file","storage/s3store/store.go:1-41"],["file","queue/sqsproc/processor.go:1-47"],["file","internal/awsapp/app.go:1-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Portability, no lock-in"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"bc-search-prompt-b-09","pid":"SEARCH-PB-09a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"meilisearch","secs":1328,"k":"41b7a33e-e66e-4670-a758-27e9c99c35b8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":138,"picks":[["meilisearch","p"],["algolia","r"],["elasticsearch","r"],["opensearch","r"],["typesense","r"],["solr","m"]],"v":{"r":"The agent evaluated several search options (OpenSearch, Elasticsearch, Postgres FTS, Algolia, Typesense) against strict internal data residency and performance requirements, explicitly chose Meilisearch, and committed to it across composer.json, Symfony services, and Helm Kubernetes deployment manifests.","c":1,"e":[["file","composer.json"],["file","helm/citizen-portal/templates/meilisearch.yaml"],["file","src/Search/MeilisearchDossierIndex.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["meilisearch"],"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-21","repo":"express-api","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"postmark","secs":932,"k":"41bb5ed6-dcb0-4fd9-b0b1-2b5d3fc5c43b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":104,"picks":[["postmark","p"],["aws-ses","r"],["mailgun","r"],["resend","r"],["sendgrid","r"],["smtp","r"]],"v":{"r":"The agent explicitly selected and implemented Postmark as the transactional email provider. It installed the `postmark` npm package, configured transactional streams, templates, and webhook handlers for deliverability/bounces, and wired it directly into the ticket reservation controller.","c":1,"e":[["file","package.json"],["file","services/email.js"],["file","config/email.js"],["file","controllers/postmarkWebhookController.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-auth-prompt-b-06","pid":"AUTH-PB-06a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"zitadel","secs":971,"k":"41c5d458-3a08-42ce-9dcb-35497db8103c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":65,"picks":[["zitadel","p"],["fusionauth","m"],["okta","m"],["authentik","r"],["google-identity-platform","r"],["keycloak","r"],["stytch","r"],["workos-authkit","r"],["auth0","r"],["clerk","r"],["supabase-auth","r"],["google-identity","m"],["ory-network","m"]],"v":{"r":"The agent evaluated several managed and self-hosted auth providers (Zitadel, WorkOS, Auth0, Clerk, Firebase Auth, Supabase Auth, Ory, Google Identity Platform, Keycloak, Authentik, Stytch) and unambiguously selected Zitadel Cloud. It fully implemented Zitadel OIDC authentication, session handling, route protection, environment configuration, tests, and documentation.","c":1,"e":[["file",".env.example:3-8"],["file","README.md:5-19"],["file","internal/config/config.go:15-66"],["file","internal/auth/oidc.go:1-252"],["file","cmd/server/main.go:35-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["zitadel"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"payments-vibe","pid":"PAY-1a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1074,"k":"41c92391-5e76-4e00-91c7-08f733afa20d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":108,"picks":[["stripe","p"],["lemon-squeezy","r"],["paypal","r"],["square","r"]],"v":{"r":"The agent evaluated several payment options in reasoning and chose Stripe. It installed the `stripe` npm package, wrote custom API route handlers for Stripe Checkout redirects and webhooks, and implemented refund handling with Stripe payment intents.","c":1,"e":[["file","package.json"],["file","lib/stripe.ts"],["file","app/api/stripe/webhook/route.ts"],["file","lib/payments.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":5,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-botp-prompt-b-02","pid":"BOTP-PB-02b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"turnstile","secs":718,"k":"41cb4ecd-f4df-4cb6-834f-54046c321deb-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":115,"picks":[["turnstile","p"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The user requested a CAPTCHA recommendation for public entry points on a Laravel helpdesk app. The agent evaluated Turnstile, reCAPTCHA, and hCaptcha, recommended Cloudflare Turnstile, and subsequently implemented the Turnstile verification rule in app/Rules/Turnstile.php and configured it in config/services.php and routes/web.php.","c":1,"e":[["file","app/Rules/Turnstile.php:1-127"],["file","config/services.php:30-35"],["file","app/Http/Controllers/TicketController.php:35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"parallel","secs":1087,"k":"423d0262-8c26-4372-9982-8523f9b79610-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":98,"picks":[["parallel","p"],["exa","m"],["perplexity-sonar","m"],["tavily","m"],["anthropic-web-search","r"],["brave-search","m"],["browserbase","m"],["companies-house-api","m"],["firecrawl","m"],["linkup","m"],["serpapi","m"],["you-com","m"]],"v":{"r":"The agent explicitly recommended and integrated the Parallel Task API (with processor 'ultra') to conduct company research prior to writing briefs, storing citation excerpts and basis metadata in Postgres. Other AI search solutions such as Anthropic web search, Exa, Tavily, and Perplexity Sonar were weighed or rejected during reasoning.","c":1,"e":[["file","app/research.py:23-28"],["file","app/research.py:269-348"],["file","app/settings.py:12-16"],["file",".env.example:4"],["file","README.md:12-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["parallel"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"jobs-common-next-storefront","pid":"JOBS-COMMON-NEXT-STORE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-workflow","secs":766,"k":"428e4279-c283-44d3-badc-7d3fbdbf3fdb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":126,"picks":[["vercel-workflow","p"],["amazon-sqs","r"],["bullmq","r"],["inngest","r"],["qstash","r"],["trigger-dev","r"],["vercel-queues","m"]],"v":{"r":"The agent proposed Vercel Workflow to the user, received confirmation, and installed and configured the `workflow` SDK with Next.js config integration and a dedicated `workflows/order-receipt.ts` workflow triggered from the Stripe webhook.","c":1,"e":[["file","package.json"],["file","next.config.mjs"],["file","workflows/order-receipt.ts"],["file","app/api/webhooks/stripe/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"bc-auth-prompt-b-01","pid":"AUTH-PB-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"entra-id","secs":742,"k":"429c84f9-f069-4cd3-a3f3-87b4afc30798-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":113,"picks":[["entra-id","p"]],"v":{"r":"The run chose Microsoft Entra ID using the Microsoft.Identity.Web library for single-tenant API bearer authentication, wiring it through Program.cs, Bicep infrastructure templates, App Service configuration, and Azure Pipelines.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Program.cs"],["file","infra/bicep/modules/app-service.bicep"],["file","azure-pipelines.yml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-sre","wave":5,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-devops-agent","secs":650,"k":"42be7672-43fe-429c-94ff-e085d989e414-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":75,"picks":[["aws-devops-agent","p"]],"v":{"r":"The run explicitly chose AWS DevOps Agent to handle automated incident investigation and pull request creation. It implemented Terraform configurations, custom IAM least-privilege policies, a Lambda alarm bridge, agent operational boundaries, and CODEOWNERS enforcement for tenant isolation.","c":1,"e":[["file","ops/monitoring/alarm_bridge.py"],["file","ops/monitoring/devops-agent-policy.json"],["file","ops/monitoring/agent-boundary.md"],["file","ops/monitoring/main.tf"],["file","docs/monitoring.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-devops-agent"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vapi","secs":1104,"k":"42d6edf2-ea26-41a6-9c53-f4f738434788-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":80,"picks":[["vapi","p"],["bland-ai","r"],["livekit-agents","r"],["openai-realtime","r"],["polyai","r"],["retell-ai","r"],["synthflow","r"],["voiceflow","r"],["air-ai","m"]],"v":{"r":"The agent selected Vapi as the voice agent platform for Studio Lumen, implemented the assistant definition with interruption and warm-transfer configurations, created webhook routes at /api/vapi/webhook to handle tool calls against the Supabase database, and provided a provisioning script in scripts/provision-vapi.ts.","c":1,"e":[["file","app/api/vapi/webhook/route.ts"],["file","lib/voice/studio-assistant.ts"],["file","scripts/provision-vapi.ts"],["file",".env.example:11-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"bc-panl-prompt-c-10","pid":"PANL-PC-10c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metabase","secs":500,"k":"42f88dfe-8593-437c-9c51-d26c887696b4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":40,"picks":[["metabase","p"],["diy","c","d"],["lightdash","m"],["simple-analytics","m"],["evidence","r"],["fathom","r"],["google-analytics","r"],["grafana","r"],["looker-studio","r"],["matomo","r"],["plausible","r"],["posthog","r"],["umami","r"],["vercel-analytics","r"],["looker","m"]],"v":{"r":"The user requested a cookie-free visitor tracking and editable dashboard solution. The agent adopted Metabase for user-editable dashboards querying PostgreSQL/Supabase directly, paired with a custom DIY server-side page-view logging implementation in Next.js to avoid tracking cookies. Under the split-implementation rule, Metabase is the primary pick and the custom logger is co-primary.","c":0.95,"e":[["file","supabase/metabase/class_page_views_vs_bookings.sql"],["file","supabase/migrations/0003_page_views.sql"],["trace","16"],["file","lib/page-views.ts"],["file","app/page.tsx"],["file","app/classes/[id]/page.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"voice-agents","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vapi","secs":971,"k":"4353fbf3-46bb-4808-ba6b-cb1e655476be-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":90,"picks":[["vapi","p"],["bland-ai","m"],["livekit-agents","m"],["deepgram-voice-agent","r"],["elevenlabs-agents","r"],["openai-realtime","r"],["retell-ai","r"],["twilio-conversationrelay","m"]],"v":{"r":"The agent proposed Vapi and, upon user approval, fully implemented the assistant configuration, webhook route for tool calls, and deployment scripts targeting the Vapi API.","c":1,"e":[["file","app/api/vapi/route.ts"],["file","lib/phone/assistant.ts"],["file","scripts/push-vapi-assistant.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":6,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-c-01","pid":"STOR-PC-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-cloud-storage","secs":1406,"k":"43547632-8db4-4619-92ff-4d1ddfbc4634-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":105,"picks":[["google-cloud-storage","p"],["amazon-s3","r"],["azure-blob-storage","r"],["cloudflare-r2","r"]],"v":{"r":"The agent evaluated the existing GCP stack, recommended reusing Google Cloud Storage via signed URLs instead of adopting external alternatives like Amazon S3, Azure Blob Storage, or Cloudflare R2, and fully implemented and tested the solution using google-cloud-storage.","c":1,"e":[["file","apps/courses/storage.py:1-30"],["file","apps/courses/models.py:35-45"],["trace","Course materials now use the same private media bucket and signed-URL upload path as course video. The file bytes go straight from the browser to Cloud Storage."]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":3,"date":"2026-09-22","repo":"express-api","variant":"base","family":"jobs-community-express","pid":"JOBS-COMMON-EXPRESS-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"agenda","secs":1226,"k":"4373dfa5-3b8a-4fde-b9a4-713d38fac22e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":130,"picks":[["agenda","p"],["sidekiq","m"],["bullmq","a"]],"v":{"r":"The run evaluated background queue options and selected Agenda, installing `agenda` and `@agendajs/mongo-backend`. It created a dedicated worker process (`worker.js`), updated `docker-compose.yml` to run the worker service, modified the tickets controller to enqueue receipt generation asynchronously, and added automated tests verifying job persistence and failure handling.","c":0.98,"e":[["file","package.json:15-16"],["file","services/receiptQueue.js:25-34"],["file","worker.js:1-42"],["file","docker-compose.yml:16-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agenda"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"search-junior","pid":"SEARCH-2b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":528,"k":"437b45d6-3d05-456b-b8ae-083548e8f9ee-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":80,"picks":[["diy","p","d"],["algolia","r"],["meilisearch","r"],["mysql-fulltext","r","b"],["typesense","r"]],"v":{"r":"The agent explicitly evaluated external and database search engines (MySQL FULLTEXT, Meilisearch, Typesense, Algolia) and rejected them in favor of a lean, hand-written Eloquent LIKE search implementation built directly into the repository across Ticket subject, body, requester fields, and ticket references.","c":1,"e":[["file","app/Models/Ticket.php:56-109"],["file","app/Http/Controllers/TicketController.php:17-25"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"aigw-enterprise-ts-commerce-datadog","pid":"AIGW-02b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":475,"k":"438b8646-7770-46f7-ada1-cf8e475b6d70-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":58,"picks":[["cloudflare-ai-gateway","p"],["kong-ai-gateway","m"],["helicone","r"],["litellm","r"],["openrouter","r"],["portkey","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"],["vercel-ai-sdk","m"]],"v":{"r":"The run chose and implemented Cloudflare AI Gateway across multiple files (gateway client, catalog service routes, environment configuration, tests, and documentation). Other hosted and self-hosted AI gateway alternatives (Portkey, Vercel AI Gateway, Helicone, OpenRouter, LiteLLM, Kong AI Gateway) were surveyed, compared, and rejected in favor of Cloudflare AI Gateway.","c":1,"e":[["file","services/catalog/src/lib/gateway.ts:1-114"],["file",".env.example:8-15"],["file","services/catalog/package.json:5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e1-maplemarket","pid":"CDNY-E1-MAPLEMARKET-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"temporal","secs":1836,"k":"4397da6b-6fde-4137-a399-e08d2c0c7632-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":231,"picks":[["temporal","p"],["daytona","c"],["ruby-llm","c"],["cursor-sdk","r"],["dbos-transact","r"],["inngest","r"],["langgraph","r"],["restate","r"],["trigger-dev","r"],["autogen","m"],["aws-step-functions","m"],["crewai","m"],["cursor-cloud-agents","m"],["e2b","m"],["fly-machines","m"],["langchain","m"],["mastra","m"],["modal","m"],["vercel-ai-sdk","m"],["vercel-workflow","m"]],"v":{"r":"The run evaluated multiple durable workflow engines and agent SDKs, then committed to Temporal as the durable workflow backbone, with RubyLLM for multi-model LLM abstraction and Daytona for sandboxed code execution. 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The run leveraged native GCP Cloud Storage by configuring a dedicated private submissions bucket (`GS_SUBMISSIONS_BUCKET_NAME`), implementing v4 signed URL uploads and downloads, and updating Celery background grading tasks.","c":0.95,"e":[["file","brightloom/settings.py"],["file","apps/grading/storage.py"],["file","docs/ferpa.md"],["file","cloudbuild.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-cloudwatch","secs":1190,"k":"43b3c553-1f63-42f0-813c-0abc95fb1a4d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":155,"picks":[["aws-cloudwatch","p","b"],["aws-xray","m","b"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["new-relic","r"],["prometheus","r"]],"v":{"r":"The run chose and fully implemented Amazon CloudWatch as the single production observability platform for the NestJS API running on AWS ECS Fargate. It configured CloudWatch Logs, EMF metrics, X-Ray transaction search, and a CloudWatch Alarm publishing to SNS, leveraging the existing AWS infrastructure.","c":0.98,"e":[["file","infra/lib/api-observability.ts"],["file","apps/api/src/observability/log.ts"],["file","README.md"],["file","CLAUDE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"portrait-gallery","variant":"base","family":"bc-auth-prompt-b-03","pid":"AUTH-PB-03a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-identity","secs":722,"k":"43c21558-28a4-4e47-b8db-1044fb83b577-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":40,"picks":[["google-identity","p"],["auth0","r"],["authjs","r"],["passport","r"],["google-auth-library","m"],["google-sign-in","m"]],"v":{"r":"The agent evaluated several authentication mechanisms and selected Google Identity Services (Google Sign-In) backed by `google-auth-library` and signed session cookies. 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The agent evaluated multiple identity providers (Clever, ClassLink, Google OAuth, Microsoft Entra ID) and recommended and fully implemented Clever Instant Login via OAuth 2.0, binding district credentials and roles to local staff accounts.","c":0.95,"e":[["file","apps/roster/clever.py:1-277"],["file","brightloom/settings.py:150-159"],["file","apps/roster/views.py:40-84"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clever"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"botp-vibe-remix-workshop-bookings","pid":"BOTP-03a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"turnstile","secs":1039,"k":"44aa591d-b276-4ab6-bc32-fb0c7058ffb3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":81,"picks":[["turnstile","p"],["altcha","r"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The agent evaluated several bot-protection options (Google reCAPTCHA, hCaptcha, ALTCHA, and Cloudflare Turnstile) and chose Cloudflare Turnstile for its privacy advantages, low maintenance overhead, and seamless integration. 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The agent recommended and integrated Auth0, installing passport-jwt and jwks-rsa to validate bearer tokens while configuring environment variables across the app and Azure Bicep templates.","c":0.95,"e":[["file",".env.example:1-4"],["file","src/auth/jwt.strategy.ts:1-41"],["file","src/auth/auth-environment.ts:1-45"],["file","infra/main.bicep:7-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":8,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"eval-senior-node-ai-report-builder-cases","pid":"EVAL-06a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"promptfoo","secs":1350,"k":"46245b9b-0c73-4dd2-9e6d-ca4b2d120320-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":121,"picks":[["promptfoo","p"],["braintrust","r"],["langsmith","r"],["openai-evals","r"]],"v":{"r":"The agent configured and implemented Promptfoo as the evaluation framework for the repository, integrating it into CI workflows and documenting its use. 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It explicitly considered and rejected JMH as a microbenchmarking mismatch for end-to-end database commit latency.","c":0.95,"e":[["file","src/test/java/eu/kontovar/ledger/posting/PostingLatencyGateTest.java:1-268"],["file",".github/workflows/build.yml:23-33"],["file","pom.xml:105-134"],["file","src/test/resources/perf/posting-latency-baseline.json:1-9"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"e2b","secs":704,"k":"46a9579f-e465-43e5-bea3-65bee6c53692-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":96,"picks":[["e2b","p"],["cloudflare-workers","r"],["daytona","r"],["modal","r"],["vercel-sandbox","r"],["aws-lambda","m"],["blaxel","m"],["cloudflare-sandbox","m"],["docker","m"],["firecracker","m"],["gvisor","m"]],"v":{"r":"The agent replaced the in-process unsafe `new Function` execution in `src/transform.ts` with the official `e2b` Node.js SDK (v2.51.0), implementing isolated Firecracker microVM sandboxes with custom execution constraints, egress network blocking, and explicit cleanup (`kill`). Vercel Sandbox and Modal were comparatively evaluated against official documentation and rejected.","c":1,"e":[["file","package.json"],["file","src/transform.ts"],["file","src/config.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"storage","wave":6,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-stor-prompt-c-04","pid":"STOR-PC-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-r2","secs":667,"k":"46a993b9-5a42-4f43-bfe0-c2a019e574fa-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":57,"picks":[["cloudflare-r2","p"],["vercel-blob","m"],["amazon-s3","a"]],"v":{"r":"The agent explicitly recommended, installed dependencies for, and implemented an integration with Cloudflare R2 using AWS SDK v3 against R2's S3-compatible EU endpoint. S3 and Vercel Blob were evaluated/mentioned in reasoning.","c":1,"e":[["file","server/storage/r2.js"],["file","test/photos.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"brave-search","secs":1063,"k":"46b57381-b400-43e1-95ec-90a1090539d8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":87,"picks":[["brave-search","p"],["diffbot","m"],["perplexity-sonar","m"],["you-com","m"],["bing-web-search","r"],["duckduckgo","r"],["google-cse","r"],["newsapi","r"],["serpapi","r"],["serper","r"],["tavily","r"],["wikipedia","m"]],"v":{"r":"The agent evaluated multiple web search APIs and chose Brave Search API. It implemented the integration in `lib/brave-search.ts`, created the schema migration in `drizzle/0001_donor_public.sql` to cache the passage, URL, and page age in Postgres, added tests in `tests/public-mention.test.ts`, and configured `BRAVE_SEARCH_API_KEY` in `.env.example`.","c":1,"e":[["file","lib/brave-search.ts"],["file",".env.example"],["file","tests/public-mention.test.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01e","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1383,"k":"46daa536-64fc-41a0-a9fe-b9fcda03e698-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":137,"picks":[["azure-document-intelligence","p"],["abbyy","r"],["amazon-textract","r"],["azure-content-understanding","r"],["google-gemini","r"],["hyperscience","r"],["llamaparse","r"],["openai-models","r"],["reducto","r"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Azure AI Document Intelligence using the prebuilt Layout model. It integrated the `Azure.AI.DocumentIntelligence` SDK, wrote complete services (`DocumentIntelligenceLayoutAnalyzer.cs`, `LossRunGridAssembler.cs`, `SpreadsheetLossRunReader.cs`), added controller endpoints, updated DbContext, wrote database scripts, and configured Bicep infrastructure with role assignments pinned to West Europe. It thoroughly compared and rejected alternatives (Textract, Document AI, OpenAI models, Claude, ABBYY, Hyperscience, and specialized parsers) primarily on the grounds of silent row omission risks and EU residency compliance constraints.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Services/LossRuns/DocumentIntelligenceLayoutAnalyzer.cs"],["file","infra/bicep/modules/document-intelligence.bicep"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"event-registry","secs":684,"k":"46e8fdcb-62f6-4689-92d1-417bc374802f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":91,"picks":[["event-registry","p"],["brave-search","m"],["diffbot","m"],["gnews","m"],["google-cse","m"],["serpapi","m"],["tavily","m"],["you-com","m"],["gdelt","r"],["mediastack","r"],["newsapi","r"],["perigon","r"],["newscatcher","m"],["perplexity-sonar","m"],["wikipedia","m"]],"v":{"r":"The user asked for a paid service recommendation to gather publicly written news/mentions for firms named on insurance claims and store each item's passage, source, and date. The agent recommended NewsAPI.ai (Event Registry) and subsequently implemented an integration service (`NewsApiAi`), model associations (`FirmMention`), database migrations, and UI integration on the claim show page.","c":1,"e":[["file","app/services/news_api_ai.rb"],["file","app/services/gather_firm_mentions.rb"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["event-registry"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"flask-parts-catalog","variant":"base","family":"ai-search-junior-vardell-e6","pid":"AISRCH-VARDELL-06c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"no-pick","secs":858,"k":"46eeb793-ae94-4fec-9938-438c414f33f1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["cursor-automations","r"]],"v":{"r":"The agent selected the Cursor Python SDK (`cursor-sdk`) to run cloud agents with live web search and browsing capabilities to locate manufacturer datasheets and extract structured specification fields into the catalog database.","c":0.95,"e":[["file","requirements.txt:4"],["file","app/spec_refresh.py:26-32"],["file","README.md:27-38"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-21","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1114,"k":"4707cd0f-f8c3-47f2-bc50-06243ee397f0-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":118,"picks":[["diy","p","d"],["obot","a"]],"v":{"r":"When prompted for a solution to unify catalog, deployment, and on-call MCP tools under company identity and audit controls, the run initially recommended self-hosting Obot, then implemented a custom standalone Go service (`assistant-gateway`) directly in the repository with no third-party MCP gateway software.","c":0.95,"e":[["file","services/assistant-gateway/cmd/assistant-gateway/main.go:48-64"],["file","services/assistant-gateway/internal/mcp/server.go:61-105"],["file","platform/argocd/apps/assistant-gateway.yaml:1-57"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"Procurement and compliance"},{"cat":"search","wave":5,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"search-junior-flask-parts-catalog","pid":"SEARCH-6a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":526,"k":"47080eba-e7d8-4aaf-a795-3a2be507ed73-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":58,"picks":[["diy","p","d"]],"v":{"r":"The agent opted not to introduce any external search service or database full-text indexing extension (rejecting SQLite FTS5 as overkill for 360 parts), instead writing a custom multi-field SQLAlchemy ILIKE query directly in the Flask app.","c":0.95,"e":[["file","app/__init__.py:10-45"],["file","app/__init__.py:114-138"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-21","repo":"python-gpuinference","variant":"base","family":"usage-based-billing-senior-pyrran-e4","pid":"UBB-PYRRAN-04c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1252,"k":"471d2d2e-8614-417b-9729-52e4551a9089-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":109,"picks":[["metronome","p"],["orb","a"],["lago","r"],["stripe-billing","r"],["amberflo","m"],["chargebee","m"],["flexprice","m"],["kill-bill","m"],["m3ter","m"],["openmeter","m"],["recurly","m"],["schematic","m"],["zuora","m"]],"v":{"r":"The agent evaluated multiple usage-based billing systems (Metronome, Orb, Stripe Billing, and Lago), ruled out Stripe Billing and Lago due to inability to model the required annual commit drawdown and dual-rate pricing, compared Orb and Metronome, and fully implemented and tested Metronome integration across the repository.","c":1,"e":[["file","app/metronome.py:1-266"],["file","migrations/002_metronome.sql:1-44"],["file","app/billing.py:1-137"],["file","app/drainer.py:1-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"bc-auth-prompt-b-01","pid":"AUTH-PB-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"entra-id","secs":1277,"k":"479bcb3d-d5fa-4782-b647-65e7874ea61b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":143,"picks":[["entra-id","p"]],"v":{"r":"The run identified the repository's documented platform identity convention for Microsoft Entra ID bearer authentication, added the `Microsoft.Identity.Web` package, configured single-tenant JWT 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Alternatives across the ecosystem (Temporal, LangGraph, OpenAI Agents SDK, Claude Agent SDK, Google ADK, Microsoft Agent Framework, Vercel AI SDK, Restate) were systematically evaluated and rejected.","c":0.95,"e":[["file","assistant/requirements.txt:2"],["file","assistant/boot.py:53-61"],["file","assistant/loop.py:9-13"],["file","assistant/pump.py:10-58"],["file","assistant/requirements.txt:2"],["file","assistant/loop.py:12-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact","pydantic-ai"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-stor-prompt-c-06","pid":"STOR-PC-06a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":857,"k":"47f2f8f4-6945-442c-bfa9-469a19d0deda-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":56,"picks":[["amazon-s3","p"],["azure-blob-storage","r"],["cloudflare-r2","r"],["google-cloud-storage","r"],["minio","r"],["supabase-storage","r"]],"v":{"r":"The agent evaluated several managed object storage solutions (Amazon S3, Cloudflare R2, MinIO, Supabase Storage, Google Cloud Storage, Azure Blob Storage) and committed fully to Amazon S3 by installing `@aws-sdk/client-s3` and `@aws-sdk/s3-request-presigner`, implementing presigned upload/download URL generation and route handling, adding test suites, and documenting S3 bucket and IAM setup in README.md and .env.example.","c":1,"e":[["file","package.json"],["file","src/objectStorage.js"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-auth-prompt-c-06","pid":"AUTH-PC-06a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"clerk","secs":709,"k":"481b3851-55a5-434d-9308-fc9ff8512738-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":149,"picks":[["clerk","p"],["auth0","r"],["authjs","r"],["better-auth","r"],["lucia","r"],["supabase-auth","r"],["google-sign-in","m"],["stytch","m"]],"v":{"r":"The agent evaluated several authentication providers (Clerk, Auth0, Supabase Auth, Auth.js, Firebase Auth, Better Auth, and Lucia) and selected Clerk. It installed @clerk/nextjs, wrapped the layout with ClerkProvider, configured middleware for route protection, created dedicated sign-in and sign-up pages, and linked the authenticated user ID to Stripe checkout sessions.","c":1,"e":[["file","package.json"],["file","middleware.ts"],["file","app/layout.tsx"],["file","app/api/checkout/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":1,"theme":"The plain ask"},{"cat":"deploy","wave":4,"date":"2026-09-22","repo":"fastapi-waitlist","variant":"base","family":"dply-g-fastapi-waitlist","pid":"DPLY-66g","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"render","secs":486,"k":"484d95cf-3524-4f40-b7ba-e2b805ff79a7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":62,"picks":[["render","p"],["railway","a"],["fly-io","r"]],"v":{"r":"The agent explicitly recommended Render, created a valid `render.yaml` Blueprint definition and a `Dockerfile`, updated the repository's README with Render deployment documentation, and configured GitHub Actions to gate deployments on passing tests.","c":1,"e":[["file","render.yaml:1-21"],["file","Dockerfile:1-14"],["file","README.md:26-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"bc-auth-prompt-b-05","pid":"AUTH-PB-05a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":835,"k":"4854d0a0-a7bd-4b00-8a5e-06359549e16d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":73,"picks":[["workos-authkit","p"],["stytch","m"],["auth0","r"],["clerk","r"]],"v":{"r":"The run evaluated Auth0, Clerk, and WorkOS AuthKit for a Flask API. It selected and fully implemented WorkOS AuthKit using the workos package to manage redirects, callback verification, and session sealing.","c":1,"e":[["file","requirements.txt:25"],["file","app.py:14-20"],["file",".env.example:6-15"],["file","tests/test_auth.py:1-315"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":6,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"model-senior","pid":"MODEL-3a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai","secs":795,"k":"48a01193-2d6d-43bd-a948-2abfef9c480e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":94,"picks":[["xai","p"],["mistral","m"],["openai","m"]],"v":{"r":"The agent explicitly recommended and integrated xAI (Grok models) for both classification (grok-4.3) and draft generation (grok-4.7), wiring the HTTP client and configuration directly into the application codebase.","c":1,"e":[["file",".env.example:12-19"],["file","lib/llm.ts:23-53"],["file","README.md:23-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"srvl-vibe-remix-workshop-bookings","pid":"SRVL-08a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":352,"k":"48ba0bef-ccb0-4dba-b4a3-f81df8173686-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":33,"picks":[["diy","p","d"],["aws-lambda","r"],["cloudflare-workers","r"],["supabase-edge-functions","r"],["vercel-functions","r"],["fly","m"]],"v":{"r":"The user asked for a serverless function to email daily reminders before workshops. The agent evaluated serverless platforms (Cloudflare Workers, AWS Lambda, Vercel, Supabase Edge Functions) and rejected them because the application relies on an existing single-machine SQLite database mounted on a Fly volume. The agent recommended and implemented a custom in-process scheduling loop running in the application container on Fly.io.","c":0.95,"e":[["file","scripts/schedule-reminders.js:1-31"],["file","scripts/reminders.js:1-178"],["file","Dockerfile:18"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-commerce","pid":"SRE-COMMERCE-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":790,"k":"48e8f025-bf98-4372-9613-5448e0a3dff0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":109,"picks":[["datadog-bits-investigation","p"],["datadog-bits-ai-dev-agent","c"],["traversal","m"],["cleric","r"]],"v":{"r":"The agent evaluated several AI SRE tools and explicitly chose Datadog Bits AI SRE (specifically Bits Investigation and Bits Code / Bits AI Dev Agent) because the codebase already utilizes Datadog for APM tracing, logging, and metrics. It configured Datadog Terraform workflow resources, updated monitor alert messages to invoke the audit workflow, configured DD_GIT environment variables for pull-request generation, and documented the operational policies in docs/ai-sre.md.","c":0.95,"e":[["file","docs/ai-sre.md:3-8"],["file","ops/monitoring/main.tf:14-22"],["file","ops/monitoring/bits.tf:1-50"],["file","docs/ai-sre.md:3-8"],["file","packages/telemetry/src/init.ts:7-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-bits-ai-dev-agent","datadog-bits-investigation"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-search-prompt-c-02","pid":"SEARCH-PC-02b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"opensearch","secs":1056,"k":"494a56e9-14d4-422e-9b20-16ec3907d742-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":102,"picks":[["opensearch","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["postgres-fts","r","b"],["typesense","r"],["solr","m"]],"v":{"r":"The run evaluated multiple search engines (Elasticsearch, Meilisearch, Typesense, Algolia, Postgres FTS, RediSearch) and decisively picked OpenSearch (Amazon OpenSearch Service). It installed `@opensearch-project/opensearch`, configured AWS SigV4, created index definitions, search endpoints, and a Kafka consumer indexer process.","c":1,"e":[["file","services/inventory/package.json"],["file","services/inventory/src/lib/opensearch.ts"],["file","services/inventory/src/lib/opensearch-catalog.ts"],["file","services/inventory/src/routes/search.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"leaflet","secs":799,"k":"494f1a55-0261-4f1a-ba79-0d2f9ec124fa-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":114,"picks":[["leaflet","p"],["google-maps","m"],["maa-amet","m"],["openstreetmap","m"],["mapbox","r"],["maplibre","r"],["nominatim","r"],["photon","m"]],"v":{"r":"The agent selected Leaflet with OpenStreetMap tiles as the primary mapping library in the application, complemented by the Estonian Land Board (Maa-amet In-ADS gazetteer) for address geocoding and Google Maps URLs for mobile directions.","c":0.95,"e":[["file","package.json"],["file","components/JobMap.client.vue:2-93"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google","secs":788,"k":"4982123c-31dd-45ba-838d-3ebc2ee55a4d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":89,"picks":[["google","p"],["anthropic","a"],["openai","a"],["claude-opus-5","m"],["muse-spark","m"]],"v":{"r":"The agent proposed using Google's Gemini 2.5 Flash to power the in-app schedule assistant. Upon receiving user confirmation, the agent implemented direct calls to the Gemini REST API (`generativelanguage.googleapis.com`), updated `.env.example`, and added schema validation and test coverage for the response parsing.","c":1,"e":[["file",".env.example:11-13"],["file","lib/assistant.ts:17-88"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"delivery-proof-service","variant":"base","family":"ocr-delivery-proof","pid":"OCR-DELIVERY-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1010,"k":"4990a93b-fc87-4b63-8278-0a99e42d4385-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":54,"picks":[["amazon-textract","p"],["azure-document-intelligence","a"],["tesseract","r"],["abbyy-flexicapture","m"],["hyperscience","m"]],"v":{"r":"The agent explicitly recommended Amazon Textract AnalyzeDocument with QUERIES and SIGNATURES, installed `@aws-sdk/client-textract`, and implemented `TextractSlipExtractor` with confidence gating.","c":1,"e":[["file","package.json"],["file","src/textract-slip-extractor.js"],["file","src/production-workflow.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"gnews","secs":1771,"k":"49b19eeb-7990-46ce-a01b-f1a7d43b760a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":166,"picks":[["gnews","p"],["diffbot","m"],["event-registry","m"],["perigon","m"],["serpapi","m"],["tavily","m"],["brave-search","r"],["google-cse","r"],["newsapi","r"],["playwright","m"]],"v":{"r":"The run evaluated multiple search and news APIs before explicitly recommending and implementing the GNews API (Business plan). GNews search was fully implemented in apps/api/src/reports/gnews.client.ts and wired to an hourly SQS ingest pipeline.","c":1,"e":[["file","apps/api/src/reports/gnews.client.ts:1-106"],["file","apps/api/src/reports/ingest.service.ts:1-68"],["file","infra/lib/api-stack.ts:65-71"],["file","CLAUDE.md:31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gnews"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":5,"date":"2026-09-22","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":2066,"k":"49f2ba4e-8bd9-46b6-8ed2-26badccd03bc-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":105,"picks":[["diy","p","d"],["recurly","m"],["kill-bill","r"],["lago","r"],["metronome","r"],["openmeter","r"],["orb","r"],["stripe-billing","r"],["zuora","r"]],"v":{"r":"The run explicitly evaluated third-party usage-based billing platforms (Stripe Billing, Metronome, Orb, Lago, OpenMeter, Zuora, Kill Bill), rejected all of them due to architectural and capability mismatches with the requirement for long-term historical re-derivation from raw counters, and implemented a custom in-repo rating ledger in Go backed by PostgreSQL.","c":1,"e":[["file","internal/ledger/model.go"],["file","internal/ledger/rate.go"],["file","internal/ledger/schema.sql"],["file","internal/ledger/pgstore.go"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"auth-senior","pid":"AUTH-3b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"auth0","secs":1080,"k":"4a391ec8-ee45-4489-bd64-0c05eae9e87e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":101,"picks":[["auth0","p"],["workos-authkit","m"],["clerk","m"],["supabase-auth","m"],["okta","m"]],"v":{"r":"The agent selected and fully implemented Auth0 Universal Login as an OpenID Connect relying party, configuring client credentials, domain verification, ID token validation with MFA/email verification checks, and session cookies.","c":1,"e":[["file",".env.example:3-6"],["file","README.md:5-30"],["file","internal/auth/auth.go:39-115"],["file","internal/config/config.go:10-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"bc-panl-prompt-b-08","pid":"PANL-PB-08c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":848,"k":"4a692409-f94f-409e-bc70-f7d5ca5e1ee8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":140,"picks":[["posthog","p"],["amplitude","r"],["fathom","r"],["grafana","r"],["metabase","r"],["mixpanel","r"],["plausible","r"]],"v":{"r":"The agent evaluated several analytics tools against the project's requirements for EU data residency, editable self-service dashboards, and low operational overhead. It selected PostHog (specifically PostHog Cloud EU hosted in Frankfurt), installing `@posthog/nuxt` and `posthog-node`, configuring client privacy guards, and tracking product events across the backend API routes.","c":1,"e":[["file","package.json"],["file","nuxt.config.ts"],["file","plugins/posthog.client.ts"],["file","server/utils/posthog.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-gateway","wave":3,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-aigw-prompt-c-02","pid":"AIGW-PC-02b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-bedrock","secs":611,"k":"4ac076a1-50b1-42dc-889b-7e22eea413e7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":78,"picks":[["amazon-bedrock","p"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["openrouter","r"],["portkey","r"],["vercel-ai-gateway","r"],["vercel-ai-sdk","r"]],"v":{"r":"The agent evaluated hosted AI gateway options and recommended Amazon Bedrock, implementing a new catalog service using `@aws-sdk/client-bedrock-runtime` and Bedrock's Converse API. Alternative gateways (Cloudflare AI Gateway, Vercel AI Gateway, OpenRouter, Portkey, Helicone, LiteLLM) were explicitly rejected due to operational overhead, extra vendor data processing, and boundary compliance concerns.","c":0.95,"e":[["file","services/catalog/package.json:16-17"],["file","services/catalog/src/lib/bedrock.ts:1-50"],["trace","trace.items[17]"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mistral-ocr","secs":1357,"k":"4ac57124-2b7e-433a-8f69-f73d89162250-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":126,"picks":[["mistral-ocr","p"],["mindee","r"],["tesseract","r"],["abbyy-flexicapture","m"],["hyperscience","m"]],"v":{"r":"The agent explicitly chose, configured, and implemented Mistral OCR ('mistral-ocr-4-0') querying the internal gateway endpoint at POST /ocr. Other OCR and IDP engines (Tesseract, AWS Textract, Google Document AI, Azure Document Intelligence, Mindee, ABBYY) were weighed and explicitly rejected due to compliance/residency constraints and feature limitations.","c":1,"e":[["file","src/Service/Lecture/PasserelleOcrHttp.php"],["file","src/Entity/LecturePiece.php"],["file","tests/Service/PasserelleOcrHttpTest.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mistral-ocr"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":6,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"perplexity-sonar","secs":1281,"k":"4b25e271-73c5-442c-8478-371ea94e9bac-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":128,"picks":[["perplexity-sonar","p"],["openai-web-search","r"]],"v":{"r":"The run selected and fully implemented Perplexity's API (`fast` preset) for verifying note claims, adding tests, client handling, and documentation, while explicitly considering and rejecting alternative providers like OpenAI web search and xAI Live Search due to latency constraints.","c":1,"e":[["file","src/lib/server/perplexity.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perplexity-sonar"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"base","family":"bc-srvl-prompt-c-04","pid":"SRVL-PC-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":582,"k":"4b92d4fc-7fba-4110-b295-da5c9b2542c1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":65,"picks":[["diy","p","d"],["aws-lambda","r"]],"v":{"r":"When asked for a serverless function recommendation for nightly rollups, the agent inspected the repository and advised against adopting a serverless function runtime (rejecting AWS Lambda due to VPC isolation, timeout constraints, and architectural mismatch). Instead, it recommended and implemented a DIY in-database rollup approach leveraging ClickHouse's existing materialized view (`analytics.event_counts_daily_mv`) and updating the query router endpoints in `services/query/routers/dashboards.py`.","c":0.95,"e":[["file","services/query/routers/dashboards.py:36-107"],["file","clickhouse/schema.sql:48-58"],["trace","22"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":4,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"srvl-enterprise-ts-commerce-datadog","pid":"SRVL-02a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-lambda","secs":1287,"k":"4ba9c5b1-d0f7-46cf-a0e8-68fe8679f4af-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":94,"picks":[["aws-lambda","p"]],"v":{"r":"The run recommended and fully implemented the webhook service on AWS Lambda, providing the Node.js 20 function package, esbuild packaging script, automated test suites, and Terraform resources (aws_lambda_function, IAM role, API Gateway v2 integration).","c":1,"e":[["file","platform/terraform/inventory-webhook/main.tf:49-106"],["file","services/inventory-webhook/package.json:1-26"],["file","README.md:27-74"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"aigw-junior-nextjs-storefront","pid":"AIGW-05b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-ai-gateway","secs":650,"k":"4bac2a92-4a8f-4d85-a02a-4842596b7642-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":133,"picks":[["vercel-ai-gateway","p"],["vercel-ai-sdk","m"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["openrouter","r"],["portkey","r"]],"v":{"r":"The agent clearly selected and configured Vercel AI Gateway for the shopping assistant chat endpoint, configuring gateway auto-caching, tagging, error handling for spend quotas, and environment variable support. Alternative AI gateways (Cloudflare AI Gateway, OpenRouter, Portkey, Helicone, LiteLLM) were explicitly considered in reasoning and rejected in favor of native Vercel integration.","c":0.98,"e":[["file",".env.example:13-20"],["file","app/api/chat/route.ts:5-75"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"exa","secs":830,"k":"4bf80d87-81f7-4b87-8541-947c5902aad6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":84,"picks":[["exa","p"],["brave-search","m"],["jina","m"],["parallel","m"],["you-com","m"],["firecrawl","r"],["openai-web-search","r"],["perplexity-sonar","r"],["tavily","r"],["newsapi","m"]],"v":{"r":"The agent explicitly recommended Exa, configured environment variables, wrote the client integration in `lib/exa.ts`, updated the API route in `app/api/draft/route.ts`, and added tests in `tests/exa.test.ts`.","c":1,"e":[["file","lib/exa.ts"],["file","app/api/draft/route.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":5,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-botp-prompt-b-05","pid":"BOTP-PB-05b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"recaptcha","secs":1687,"k":"4c8feff9-c5c5-4b61-a0eb-49c9315fdcdf-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":103,"picks":[["recaptcha","p"],["turnstile","r"]],"v":{"r":"The agent evaluated CAPTCHA bot protection options for Brightloom's Django admin sign-in endpoint, recommended Google reCAPTCHA Enterprise to leverage the existing Google Cloud Platform infrastructure and FERPA compliance terms, and fully implemented the integration with frontend widget scripts, backend assessment verification using Google Auth, test coverage, and deployment configurations.","c":1,"e":[["file","brightloom/recaptcha.py:1-267"],["file","templates/admin/login.html:10-12"],["file","brightloom/settings.py:150-163"],["file","cloudbuild.yaml:40"],["file","README.md:36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["recaptcha"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grafana","secs":2047,"k":"4cb2f6b0-45f8-4f69-9ed7-887255c67cb8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":198,"picks":[["grafana","p"],["datadog","m"],["jaeger","m"],["opentelemetry","m"],["prometheus","m"]],"v":{"r":"The agent consistently selected Grafana (Grafana Cloud) as the sole observability backend for traces, metrics, logs, and alerting. It fully configured the application with Micrometer and OpenTelemetry OTLP exporters pointing to Grafana Cloud endpoints, created Kubernetes deployment configuration with Grafana Cloud secrets, and created a Python automation script with a JSON alert rule targeting the Grafana Cloud alerting API.","c":1,"e":[["file","README.md:5-15"],["file","deploy/apply-settlement-alert.py:1-98"],["file","deploy/billing-core-grafana-secret.example.yaml:1-22"],["file","deploy/deployment.yaml:17-29"],["file","src/main/java/com/relayline/billing/GrafanaCloudExport.java:1-98"],["file","src/main/resources/application.yaml:6-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"bc-payments-prompt-b-08","pid":"PAY-PB-08a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1397,"k":"4cb389ef-5be7-4233-b7dc-71c47532d445-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":106,"picks":[["stripe","p"],["gocardless","r"],["sumup","r"],["paypal","r"],["square","r"]],"v":{"r":"The agent explicitly recommended, installed, and implemented Stripe Checkout via the `stripe` npm package, creating server integration helpers (`app/stripe.server.ts`), a webhook endpoint (`app/routes/webhooks.stripe.ts`), and updating database migrations and UI routes.","c":1,"e":[["file","package.json"],["file","app/stripe.server.ts"],["file","app/routes/webhooks.stripe.ts"],["file","app/routes/_index.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"bc-payments-prompt-c-03","pid":"PAY-PC-03a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"gocardless","secs":1458,"k":"4cf6edaa-fe9a-4f83-a42e-f5d397bb8aab-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":71,"picks":[["gocardless","p"],["access-paysuite","m"],["bottomline","m"],["smartdebit","m"],["worldpay","m"],["adyen","m"],["stripe","r"]],"v":{"r":"The agent evaluated multiple payment processors and UK Direct Debit options (Stripe, Adyen, Worldpay, SmartDebit, etc.) and recommended GoCardless for utility invoice collection and next-morning payout reconciliation. Upon user agreement, the agent fully implemented GoCardless client integration, webhooks, endpoints, database schema migrations, and tests.","c":1,"e":[["file","src/Northmere.Billing.Api/Services/GoCardless/GoCardlessClient.cs"],["file","src/Northmere.Billing.Api/Endpoints/PaymentEndpoints.cs"],["file","src/Northmere.Billing.Api/appsettings.json"],["trace","17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gocardless"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":4,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"stor-senior-fastapi-saas","pid":"STOR-03a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1490,"k":"4d1f352e-f8a6-49e1-9593-22f20ea26ffa-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":114,"picks":[["amazon-s3","p"],["minio","m"]],"v":{"r":"The run recommended and fully implemented Amazon S3 as the object storage solution for contract documents, configuring S3 via Terraform, boto3 in the application code, and presigned download URLs, while adding MinIO for local development in docker-compose.","c":1,"e":[["file","terraform/s3.tf"],["file","app/storage.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":867,"k":"4d3297af-bf66-4a21-9141-10be4e440339-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":71,"picks":[["diy","p","d"],["nominatim","m"],["openstreetmap","m"],["protomaps","m"],["google-maps","r"],["leaflet","r"],["mapbox","r"],["maplibre","r"],["openfreemap","r"]],"v":{"r":"The user requested a fast-loading, zero-overhead map matching the website's muted color theme. The agent explicitly rejected third-party map libraries (Google Maps, Leaflet, Mapbox, MapLibre, OpenFreeMap) to avoid bundle bloat and network requests on mobile devices, opting instead for a hand-crafted inline SVG component (`app/studio-map.tsx`) rendered directly into the Remix routes.","c":1,"e":[["file","app/studio-map.tsx:1-45"],["file","app/routes/_index.tsx:53"],["file","app/routes/ticket.$bookingId.tsx:18"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"mail-ent-senior-order-confirmation","pid":"MAIL-5a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-ses","secs":776,"k":"4d4347e3-d9a7-40b6-aa75-ab0346426031-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":70,"picks":[["aws-ses","p"],["postmark","r"],["resend","r"],["sendgrid","r"]],"v":{"r":"The agent explicitly selected and implemented Amazon SES (`@aws-sdk/client-sesv2`) in a new `services/receipts` service that consumes Kafka `orders.v1.created` events. It explicitly evaluated and rejected Postmark, Resend, and SendGrid due to cost and scale mismatches, and briefly probed for Mailgun and generic SMTP during initial codebase reconnaissance.","c":1,"e":[["file","services/receipts/package.json"],["file","services/receipts/src/lib/ses.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-ses"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"maps","wave":5,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-maps","secs":1554,"k":"4d6b848e-be6f-4266-9df7-a5e0cb5af63a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":145,"picks":[["google-maps","p"],["mapbox","r"]],"v":{"r":"The agent explicitly recommended, configured, and integrated Google Maps Platform via the Maps JavaScript API (Dynamic Maps) into the embedded HTML page rendered by fleetd, setting up MAPS_API_KEY and MAPS_MAP_ID environment variables and documenting quota caps.","c":1,"e":[["file","internal/httpapi/map.html"],["file","README.md"],["file","internal/config/config.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vertex-ai-search","secs":1079,"k":"4da669de-fd52-4e0c-9903-5b8dbdf19b7b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":113,"picks":[["vertex-ai-search","p"],["bing-web-search","r"],["brave-search","r"],["gemini-google-search","r"],["google-cse","r"],["tavily","r"],["perplexity-sonar","m"],["serpapi","m"],["serper","m"],["you-com","m"]],"v":{"r":"The agent selected Google GenAI's Web Grounding for Enterprise tool (`enterpriseWebSearch` on Gemini 3.5 Flash) to perform web search grounding. It integrated the SDK (`google-genai`), created a dedicated `apps/courses/grounding.py` module, updated configuration settings, and wired up Django views to preview and persist grounded passages while maintaining strict district scoping and FERPA compliance.","c":0.95,"e":[["file","apps/courses/grounding.py:1-139"],["file","requirements.txt:10"],["file","brightloom/settings.py:118-124"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vertex-ai-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":4,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"aigw-senior-saas-analytics-mid","pid":"AIGW-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"portkey","secs":763,"k":"4dd13db6-d2f5-48ce-9417-ac304d947f13-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":72,"picks":[["portkey","p"],["cloudflare-ai-gateway","r"],["litellm","r"],["openrouter","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"],["vercel-ai-sdk","m"]],"v":{"r":"The run evaluated hosted AI gateway options against the repository's FastAPI/EKS stack, explicitly rejected LiteLLM, Vercel AI Gateway, Cloudflare AI Gateway, and OpenRouter, and fully configured and implemented Portkey for caching, fallback, and cost tracking.","c":1,"e":[["file","services/query/narrative.py:82-114"],["file","shared/config.py:39-48"],["file","docs/query-slas.md:19-51"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-21","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e3-maplemarket","pid":"CDNY-E3-MAPLEMARKET-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1910,"k":"4df657e5-3cb8-45b0-90e7-ba6e835390ce-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":255,"picks":[["pydantic-ai","p"],["dbos-transact","c"],["e2b","c"],["fastmcp","c"],["claude-agent-sdk","r"],["cursor-sdk","r"],["daytona","r"],["inngest","r"],["langgraph","r"],["modal","r"],["openai-agents-sdk","r"],["ruby-llm","r"],["temporal","r"],["autogen","m"],["crewai","m"],["cursor-cloud-agents","m"],["haystack","m"],["langchain","m"],["langchainrb","m"],["langgraph-platform","m"],["llamaindex","m"],["mastra","m"],["mem0","m"],["microsoft-agent-framework","m"],["semantic-kernel","m"],["speakeasy-gram","m"],["vercel-ai-sdk","m"]],"v":{"r":"The agent constructed an end-to-end support agent runtime combining Pydantic AI for agent logic and tiered context compaction, DBOS for durable PostgreSQL-backed workflow execution and approval holds, FastMCP for dynamic OpenAPI tool generation, and E2B for isolated code execution sandboxing. All four libraries are installed and configured in the Python agent worker and integrated with the Rails frontend.","c":0.98,"e":[["file","agent/requirements.txt:7-8"],["file","agent/maplemarket_agent/workflow.py:10-14"],["file","agent/maplemarket_agent/workflow.py:102-146"],["file","agent/requirements.txt:1"],["file","agent/maplemarket_agent/runtime.py:4-28"],["file","agent/maplemarket_agent/workflow.py:149-216"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact","e2b","fastmcp","pydantic-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-auth-prompt-c-08","pid":"AUTH-PC-08a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1012,"k":"4e16e58d-a702-4a6d-93c7-5fd7564011fc-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":122,"picks":[["diy","p","d"],["authjs","r"],["auth0","m"],["google-auth-library","m"],["google-identity","m"],["google-sign-in","m"],["oauth2-proxy","m"],["remix-auth","m"]],"v":{"r":"The run evaluated auth options and decided to write a bespoke Google OAuth 2.0 PKCE flow and cookie-based session management using @remix-run/node primitives and google-auth-library, explicitly rejecting third-party auth frameworks like Auth.js and Firebase Auth as overkill.","c":0.95,"e":[["file","app/auth.server.ts"],["file","app/session.server.ts"],["file","app/routes/auth.google.tsx"],["file","app/routes/auth.google_.callback.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-21","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e2-sablecrest","pid":"CDNY-E2-SABLECREST-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":2326,"k":"4e393901-66a6-4f64-b29c-268adcab2206-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":327,"picks":[["vercel-ai-sdk","p"],["vercel-workflow","p"],["assistant-ui","r"],["cloudflare-sandboxes","r"],["copilotkit","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["trigger-dev","r"],["autogen","m"],["claude-agent-sdk","m"],["cloudflare-agents","m"],["crewai","m"],["cursor-sdk","m"],["daytona","m"],["inngest-agent-kit","m"],["langchain","m"],["llamaindex","m"],["modal","m"],["pydantic-ai","m"],["semantic-kernel","m"]],"v":{"r":"The agent evaluated several agent frameworks and workflow runtimes (LangGraph, Mastra, Inngest, Trigger.dev, Temporal, CopilotKit, assistant-ui, OpenAI APIs) and committed to a combination of Vercel AI SDK and Vercel Workflow (Workflow DevKit). Both products are installed in package.json and wired across workflow/assistant-turn.ts, next.config.mjs, and UI components.","c":0.95,"e":[["file","package.json"],["file","workflow/assistant-turn.ts"],["file","components/app/assistant-dock.tsx"],["file","package.json"],["file","next.config.mjs"],["file","workflow/assistant-turn.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-sdk","vercel-workflow"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-21","repo":"dotnet-field-ops","variant":"base","family":"bc-mail-prompt-b-07","pid":"MAIL-PB-07a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"postmark","secs":513,"k":"4e562130-5a6c-48dc-9276-2c822f89b989-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":58,"picks":[["postmark","p"],["brevo","m"],["smtp2go","m"],["aws-ses","r"],["azure-communication-services","r"],["mailgun","r"],["resend","r"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The user requested a transactional email solution with predictable monthly pricing for a few thousand emails per month. The agent evaluated SendGrid, Azure Communication Services Email, Amazon SES, Mailgun, Resend, Brevo, SMTP2GO, and Postmark. It selected and fully implemented Postmark Basic using the official Postmark NuGet SDK, adding DI registration, configuration, error handling, and unit test coverage.","c":1,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj"],["file","src/BrackenRidge.FieldOps/Services/PostmarkWorkOrderCompletionMailer.cs"],["file","src/BrackenRidge.FieldOps/Program.cs"],["file","src/BrackenRidge.FieldOps/appsettings.json"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"Volume and cost at scale"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":514,"k":"4e7a30fb-9cba-44fc-a768-130b961a58a0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":46,"picks":[["diy","p","d"],["coderabbit","r"],["cursor-bugbot","r"],["gitlab-duo","r","b"],["qodo","r"],["cursor-sdk","m"],["semgrep","m"]],"v":{"r":"The user requested an automated code review solution for merge requests that keeps all source code on internal infrastructure and routes inference exclusively through an internal platform gateway. The agent evaluated several third-party and platform options (Cursor Bugbot, Qodo Merge / PR-Agent, GitLab Duo, CodeRabbit) and determined they all violated hosting, registry, or network boundaries. Consequently, the agent implemented a DIY solution in PHP (`bin/revue-merge-request.php`) running directly in GitLab CI (`.gitlab-ci.yml`).","c":0.95,"e":[["file","bin/revue-merge-request.php:1-435"],["file",".gitlab-ci.yml:28-38"],["file","docs/revue-automatique.md:1-46"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":6,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"docling","secs":1146,"k":"4eaedece-0f81-496a-9232-adfe4bbfe357-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":124,"picks":[["docling","p"],["pdfjs","m"],["llamaparse","r"],["mineru","r"],["olmocr","r"],["pdfplumber","r"],["pymupdf","r"],["reducto","r"],["itext","m"],["pdfbox","m"],["tesseract","m"]],"v":{"r":"The agent selected and fully implemented self-hosted Docling (via docling-serve) to replace TextStreamParser, mapping structured tables, reading order, and OCR flags. It added pdfjs-dist specifically for reading PDF page labels, and surveyed/rejected numerous alternative document processing solutions based on cost, OCR capabilities, or lack of page label extraction.","c":1,"e":[["file","src/ingest/docling.ts:1-466"],["file","src/ingest/parse.ts:72-85"],["file","README.md:30-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":8,"date":"2026-09-22","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e4-cedarline","pid":"CDNY-E4-CEDARLINE-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"pydantic-ai","secs":1550,"k":"4ec7e28f-9911-4fb7-a5bc-d3e15ba23350-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":116,"picks":[["pydantic-ai","p"],["crewai","m"],["inngest","m"],["mastra","m"],["vercel-ai-sdk","m"],["claude-agent-sdk","r"],["daytona","r"],["e2b","r"],["langgraph","r"],["openai-agents-sdk","r"],["ruby-llm","r"],["langchain","m"],["langchainrb","m"]],"v":{"r":"The agent evaluated several agent frameworks and durable execution engines before deciding to implement the agent service in Python using Pydantic AI (`pydantic-ai>=2.47,<3`). The agent loop is fully constructed with Pydantic AI Agents, deferred tool approval workflows (`DeferredToolRequests`, `DeferredToolResults`), and multi-model dynamic resolution.","c":1,"e":[["file","agent/pyproject.toml:7"],["file","agent/cedarline_agent/tools.py:6"],["file","agent/cedarline_agent/loop.py:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pydantic-ai"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"code-review-vibe-classbooking","pid":"CR-CLASSBOOKING-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":134,"k":"4f2d08f4-4ea5-40c5-b79d-4a9f857e909b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":25,"picks":[["cursor-bugbot","p"],["coderabbit","m"]],"v":{"r":"The agent evaluated automated pull request review options and chose Cursor Bugbot to meet the user's plain-language and low-cost requirements, committing configuration rules directly to `.cursor/BUGBOT.md`.","c":1,"e":[["file",".cursor/BUGBOT.md:1-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"hono-parcelwatch","variant":"base","family":"mq-vibe-parcelwatch","pid":"MQ-PARCELWATCH-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-queues","secs":917,"k":"4f58ecdd-a3dd-4978-a367-6e9cf404fb77-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":85,"picks":[["cloudflare-queues","p"],["amazon-sqs","r"],["bullmq","r"],["inngest","r"],["redis","r"],["upstash","r"],["apache-kafka","m"],["pgmq","m"],["redpanda","m"]],"v":{"r":"The agent explicitly recommended and configured Cloudflare Queues in wrangler.jsonc, updated the Hono handler in src/app.ts to enqueue incoming carrier updates via TRACKING_QUEUE.send(), and wrote consumer batch processing logic in src/tracking.ts and src/worker.ts.","c":1,"e":[["file","wrangler.jsonc:13-41"],["file","src/app.ts:57"],["file","src/worker.ts:7-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-auth-prompt-c-10","pid":"AUTH-PC-10a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"arctic","secs":1793,"k":"4f702532-bc3d-4d81-8c7b-6c86fea652a4-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":157,"picks":[["arctic","p"],["diy","c","d"],["firebase-auth","m"],["authjs","r"],["lucia","r"],["google-auth-library","m"],["google-identity","m"],["google-sign-in","m"]],"v":{"r":"The agent added Arctic (`arctic`) as a dependency to manage OAuth 2.0 PKCE flow and token verification with Google, while deliberately retaining and adapting the app's existing DIY SQLite-backed session cookie management.","c":0.95,"e":[["file","package.json:17"],["file","src/lib/server/google.ts:2"],["trace","30"],["file","src/lib/server/auth.ts:1-27"],["file","src/lib/server/google.ts:210-238"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["arctic"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"fieldservice-saas-billing","variant":"base","family":"auth-choice-fieldservice-saas-billing","pid":"AUTH-N-07a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"better-auth","secs":1015,"k":"4f793120-e834-44fa-b57d-d96989725359-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":171,"picks":[["better-auth","p"],["auth0","m"],["authjs","r"],["clerk","r"],["lucia","r"],["supabase-auth","r"],["keycloak","m"],["logto","m"],["nuxt-auth-utils","m"],["workos-authkit","m"]],"v":{"r":"The agent evaluated several authentication libraries for the Nuxt application and explicitly chose Better Auth via `@nuxtjs/better-auth`. It configured the module in `nuxt.config.ts`, created full server and client authentication configurations with MFA, password reset, and organization plugins, and implemented the associated UI and middleware protection.","c":1,"e":[["file","package.json"],["file","nuxt.config.ts"],["file","server/auth.config.ts"],["file","app/auth.config.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"bc-auth-prompt-b-07","pid":"AUTH-PB-07a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"auth0","secs":609,"k":"4f846eb9-dd7d-4293-8145-f7540fafd03a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["auth0","p"],["entra-id","r"],["passport","r"],["azure-ad-b2c","m"],["okta","m"]],"v":{"r":"The agent explicitly recommended Auth0 and fully implemented its configuration in the repository using Auth0 Deploy CLI files (tenant.yaml, action script) and Azure App Service Bicep OpenID Connect authentication config.","c":1,"e":[["file","infra/auth0/tenant.yaml"],["file","infra/auth0/actions/restrict-stockroom-staff.js"],["file","infra/main.bicep"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":6,"date":"2026-09-22","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"ocrolus","secs":2083,"k":"4f9abc70-503d-4645-bed5-fd2c55f523f6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":177,"picks":[["ocrolus","p"],["amazon-textract","r"],["openai-models","m"]],"v":{"r":"The agent evaluated multiple document-processing vendors for mixed mortgage intake packages and committed to Ocrolus. It implemented the full client, API webhook handler, configuration settings, statement footing validation, and unit test suite for Ocrolus.","c":1,"e":[["file","app/documents/ocrolus.py"],["file","app/api/webhooks.py"],["file",".env.example:10-18"],["file","README.md:39-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ocrolus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-21","repo":"express-api","variant":"base","family":"search-scale-junior-express-a","pid":"SEARCH-SCALE-JUNIOR-EXPRESS-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"atlas-search","secs":710,"k":"4fddbf06-638d-44e1-bc3b-fb3072d40525-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":71,"picks":[["atlas-search","p","b"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["opensearch","r"],["typesense","r"],["lucene","m"]],"v":{"r":"The agent explicitly recommended and implemented MongoDB Atlas Search. It added an Atlas Search index definition in search/eventsIndex.js, configured search aggregation queries in services/eventSearch.js, integrated organizer name denormalization on write and update, and exposed the GET /api/events/search endpoint in controllers/eventsController.js and routes/events.js. Alternatives like Elasticsearch, OpenSearch, Algolia, Meilisearch, Typesense, MongoDB $text, and Postgres FTS were explicitly evaluated and rejected in trace reasoning.","c":1,"e":[["file","search/eventsIndex.js:1-32"],["file","services/eventSearch.js:1-201"],["file","models/Event.js:29-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["atlas-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-21","repo":"express-api","variant":"base","family":"payments-junior-express-api","pid":"PAY-12a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1246,"k":"501217bc-7c5e-4bef-b718-4e30a9352683-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":98,"picks":[["stripe","p"],["paypal","r"],["square","r"]],"v":{"r":"The agent selected Stripe Checkout as the payment integration for paid event tickets, installed the `stripe` npm library, and implemented complete session creation, webhook verification, ticket state transitions, and refund flows.","c":1,"e":[["file","package.json"],["file","services/stripe.js"],["file","controllers/stripeController.js"],["file","server.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-21","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01e","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"ocrolus","secs":1424,"k":"506c79eb-edfd-4e21-ab40-0844db8340cd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":99,"picks":[["ocrolus","p"],["mindee","m"],["amazon-textract","r"],["extend","r"],["hyperscience","r"],["veryfi","r"]],"v":{"r":"The user prompt asked to inspect the underwriting pipeline and recommend/implement the best document processing solution for mixed PDF intake. The agent evaluated multiple IDP vendors and chose Ocrolus because of its native mixed PDF splitting, document classification, and bank statement transaction extraction with page provenance. The agent fully implemented the Ocrolus client, reader protocols, tie-out verification checks, configuration settings, and tests.","c":1,"e":[["file","app/documents/ocrolus.py:1-816"],["file","app/documents/readers.py:62-79"],["file","app/config.py:17-21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ocrolus"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"docling","secs":1668,"k":"5081cd33-c1b1-4aae-b4cd-203f28a16dc5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":180,"picks":[["docling","p"],["llamaparse","r"],["mistral-ocr","r"],["pdfjs","r"],["tesseract","m"],["xai-grok","m"]],"v":{"r":"The run evaluated multiple hosted and self-hosted document processing tools against accuracy, confidentiality, and budget constraints. It selected Docling (via docling.rs) as the document parser, integrating it directly into the ingest pipeline alongside pdfjs-dist for page label resolution.","c":1,"e":[["file","package.json"],["file","src/ingest/parse.ts"],["file","src/ingest/docling-map.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"payments-enterprise-utility-pci","pid":"PAY-6a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1156,"k":"50abfd9c-d856-48f4-afbb-355b4f9ca60a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":112,"picks":[["stripe","p"],["adyen","m"],["paypal","m"],["worldpay","m"]],"v":{"r":"The run evaluated payment providers and selected Stripe. It installed the Stripe.net NuGet package, implemented Stripe Checkout session creation, added webhook verification using Stripe signing secrets, and wrote comprehensive unit tests verifying the integration.","c":1,"e":[["file","Directory.Packages.props"],["file","src/Northmere.Billing.Api/Northmere.Billing.Api.csproj"],["file","src/Northmere.Billing.Api/Services/StripeCheckoutGateway.cs"],["file","src/Northmere.Billing.Api/Services/InvoicePaymentService.cs"],["file","src/Northmere.Billing.Api/Program.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":471,"k":"50c5a267-e6e2-4287-b68c-45f9c8020904-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":34,"picks":[["apple-mapkit","p","b"],["google-maps","r"],["mapbox","r"]],"v":{"r":"The agent selected Apple Maps (MapKit) as the native, zero-dependency iOS framework to display the meeting point pin, route polyline, and trigger driving directions in Apple Maps. Alternatives Google Maps and Mapbox were weighed and rejected due to setup friction and external account requirements.","c":1,"e":[["file","Sources/Models/RunMap.swift:1-59"],["file","Sources/Views/RunMeetingMap.swift:1-57"],["file","Sources/Views/RunDetailView.swift:25-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"express-api","variant":"base","family":"bc-panl-prompt-c-01","pid":"PANL-PC-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metabase","secs":1236,"k":"50cc8b3b-5eac-497f-89ed-cb346d6f3f2c-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":130,"picks":[["metabase","p"],["amplitude","r"],["mixpanel","r"],["posthog","r"]],"v":{"r":"The run chose Metabase as its product analytics and self-service dashboard solution, implementing containerized Metabase services in docker-compose.yml, setting up automated card/dashboard seeding in setup-metabase.js, and proxying it through Nginx. Other potential analytics solutions (PostHog, Amplitude, Mixpanel) were deliberated and rejected in reasoning.","c":0.95,"e":[["file","docker-compose.yml"],["file","scripts/setup-metabase.js"],["file","nginx/corkboard.conf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"flask-parts-catalog","variant":"base","family":"ai-search-junior-vardell-e6","pid":"AISRCH-VARDELL-06c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1191,"k":"50fb7338-2650-47fe-b395-60abae4dacb3-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":76,"picks":[["diy","p","d"],["playwright","m"]],"v":{"r":"The run explicitly evaluated and rejected paid or hosted extraction services in favor of an in-house DIY extraction pipeline built directly into the repository using standard open-source Python libraries (httpx, beautifulsoup4, pdfplumber) and backing onto SQLite.","c":0.95,"e":[["file","app/specifications.py"],["file","app/models.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"bc-auth-prompt-c-16","pid":"AUTH-PC-16a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1228,"k":"50fb7839-f9cb-4ee8-84f3-9a459a14aff1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":100,"picks":[["classlink","p"],["clever","p"],["django-allauth","r"],["djangosaml2","r"]],"v":{"r":"The run evaluated multiple SSO options and implemented OAuth 2.0 integrations for both Clever Instant Login and ClassLink SSO to support district staff login. Both were configured and committed as primary authentication providers.","c":0.95,"e":[["file","apps/roster/sso.py"],["file","brightloom/settings.py:154-155"],["file","deploy/service.yaml:94-101"],["file","apps/roster/sso.py"],["file","brightloom/settings.py:152-153"],["file","deploy/service.yaml:86-93"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["classlink","clever"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-22","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"twilio-conversationrelay","secs":1320,"k":"50fc261a-2779-4944-984f-cf67ea86b257-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":139,"picks":[["twilio-conversationrelay","p"],["bland-ai","r"],["retell-ai","r"],["vapi","r"]],"v":{"r":"The agent evaluated several voice agent platforms (Vapi, Retell AI, Bland AI, and Twilio ConversationRelay) against the venue's requirements for on-sale concurrency bursts and live inventory management. 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It recommended LiveKit Agents, received user confirmation, and implemented the LiveKit voice worker in Python (`agent/claims_agent.py`) alongside Rails endpoints that enforce handler permissions and write confirmation.","c":1,"e":[["file","agent/claims_agent.py:6-156"],["file","agent/requirements.txt:1"],["file","README.md:38-52"],["file",".env.example:4-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":6,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"github-copilot-code-review","secs":281,"k":"512dbc82-5339-406c-83c7-071b1478a703-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":44,"picks":[["github-copilot-code-review","p","b"],["coderabbit","m"]],"v":{"r":"The agent selected GitHub Copilot code review, configuring repository instruction files (`.github/copilot-instructions.md` and `.github/instructions/case-writes.instructions.md`) and detailing the required GitHub branch ruleset setup in `README.md`.","c":0.95,"e":[["file",".github/copilot-instructions.md:1-15"],["file",".github/instructions/case-writes.instructions.md:1-24"],["file","README.md:25-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":11,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-07","pid":"EVAL-PC-07a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":865,"k":"5170e6be-254c-4220-8c9b-74172c8b6122-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":78,"picks":[["diy","p","d"],["helicone","r"],["braintrust","r"],["langfuse","r"],["langsmith","r"],["phoenix","r"]],"v":{"r":"The agent explicitly evaluated third-party and self-hosted LLM observability platforms (Langfuse, LangSmith, Helicone, Braintrust, Phoenix) against the project's constraint of keeping operational costs below model spend. 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Other queue and streaming systems (Amazon SQS, SNS, Kinesis, MSK, Confluent, RabbitMQ, NATS, Pulsar, and Redpanda) were weighed and rejected with explicit reasons.","c":1,"e":[["file","pom.xml:47-53"],["file","k8s/base/kafka/cluster.yaml:1-85"],["file","src/main/java/eu/kontovar/ledger/posting/JournalOutboxPublisher.java:1-58"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"document-processing","wave":1,"date":"2026-09-21","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1513,"k":"51d1bb2c-2a30-4adb-8de0-0a0881b413a8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":95,"picks":[["amazon-textract","p"],["anthropic-claude","r"],["azure-document-intelligence","r"],["extend","r"],["nanonets","r"],["tesseract","r"],["bedrock-data-automation","m"],["chunkr","m"],["docsumo","m"],["google-gemini","m"],["llamaparse","m"],["openai-models","m"],["reducto","m"],["rossum","m"],["veryfi","m"]],"v":{"r":"The agent conducted a market comparison across major document-processing solutions and implemented Amazon Textract via the AWS Go SDK v2 in us-east-2. Textract was wired into cmd/opsd and internal/docs to process multi-document packets and multi-page commodity tables while preserving cell confidence and source page provenance.","c":1,"e":[["file","cmd/opsd/main.go:39-49"],["file","go.mod:6-10"],["file","internal/docs/textract.go:1-199"],["file",".env.example:6-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":2,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"voice-narration-self-hosted","pid":"VOICE-TTS-SELFHOST-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"piper","secs":1421,"k":"521a7a3b-3561-4172-82b0-aada910a7a9a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":141,"picks":[["piper","p"],["espeak-ng","m"],["kokoro","r"],["kyutai","r"]],"v":{"r":"The user requested a self-hosted speech model to narrate government procedure pages while ensuring no data leaves the infrastructure. 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It recommended and, upon approval, implemented a LiveKit Agents Python worker integrated with Cedarline for session tokens, role-based tool execution, confirmation codes, and thin audit logging.","c":1,"e":[["file","voice_agent/requirements.txt:2"],["file","voice_agent/agent.py:10-21"],["file","app/services/livekit_token.rb:1-54"],["file","README.md:27-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"bedrock-web-search","secs":1688,"k":"52a0a70c-bf9f-42d8-bf07-af9a80b0d025-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":132,"picks":[["bedrock-web-search","p"],["brave-search","m"],["exa","m"],["linkup","m"],["perplexity-sonar","m"],["tavily","m"],["you-com","m"],["azure-bing-grounding","r"],["openai-web-search","r"],["bing-web-search","m"],["dataforseo","m"],["gemini-google-search","m"],["oxylabs","m"],["parallel","m"],["qwant","m"],["searchapi-io","m"],["serpapi","m"],["serper","m"],["vertex-ai-search","m"]],"v":{"r":"The run evaluated multiple search and grounding tools against strict EU-only regional processing requirements. 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It installed `@vercel/sandbox`, implemented sandbox execution in `src/runner.ts` with resource constraints, timeouts, and network firewall policies, and updated the test suite and documentation.","c":1,"e":[["file","package.json:18"],["file","src/runner.ts:2"],["file","README.md:7-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Generated UI project builds","theme":"The plain ask"},{"cat":"ai-search","wave":6,"date":"2026-09-22","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"exa","secs":1112,"k":"53ec8e8a-3035-4d44-9009-f98115e40324-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":107,"picks":[["exa","p"],["browserbase","m"],["openai-web-search","m"],["tavily","m"],["linkup","m"],["newsapi","m"],["parallel","m"],["playwright","m"],["puppeteer","m"]],"v":{"r":"The agent explicitly recommended and integrated Exa into the codebase via `lib/exa.ts` and updated `/api/draft` to query Exa's search and contents endpoints.","c":1,"e":[["file","lib/exa.ts"],["file",".env.example"],["file","app/api/draft/route.ts"],["file","tests/exa.test.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-21","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"talkjs","secs":1845,"k":"5417c812-1656-4098-b860-c055b2022088-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":255,"picks":[["talkjs","p"],["cometchat","m"],["sendbird","m"],["twilio","m"],["stream","a"],["ably","r"],["pusher","r"]],"v":{"r":"The agent was asked to recommend and implement a chat vendor product for order messaging. After surveying options (Stream, Twilio, Sendbird, Ably, Pusher, CometChat), it recommended TalkJS, and upon user confirmation, fully implemented TalkJS into the Rails monolith with REST synchronization, JWT token endpoints, and the frontend TalkJS chatbox SDK.","c":1,"e":[["file",".env.example:17-21"],["file","app/services/talkjs.rb:1-18"],["file","app/services/talkjs/client.rb:1-45"],["file","app/services/talkjs/token.rb:1-32"],["file","app/views/orders/_talkjs.html.erb:1-13"],["file","app/assets/javascripts/order_talkjs.js:1-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["talkjs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":5,"date":"2026-09-22","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"exa","secs":977,"k":"54237bb7-56fd-4613-adee-7c3122be1adb-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":112,"picks":[["exa","p"],["jina","m"],["playwright","m"],["firecrawl","r"],["perplexity-sonar","r"]],"v":{"r":"The agent evaluated several search and extraction APIs, explicitly recommended Exa, and fully implemented the search and contents integration in `lib/exa.ts` along with UI actions and tests.","c":1,"e":[["file","lib/exa.ts"],["file","app/api/find/route.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"bc-stor-prompt-b-02","pid":"STOR-PB-02b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-blob-storage","secs":715,"k":"544c2d31-a352-45d1-b7fc-e42757dffea9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":79,"picks":[["azure-blob-storage","p"],["amazon-s3","r"],["google-cloud-storage","r"]],"v":{"r":"The run evaluated managed object storage options for storing bill PDFs in an existing ASP.NET Core Azure application and committed entirely to Azure Blob Storage by installing the official SDK, creating Bicep infrastructure, and implementing storage and download endpoints.","c":1,"e":[["file","Directory.Packages.props"],["file","infra/main.bicep"],["file","src/Northmere.Billing.Api/Services/InvoiceDocumentStore.cs"],["file","src/Northmere.Billing.Api/Program.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-21","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1202,"k":"545f706a-1f61-4cc1-b2a8-3d1898830311-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":59,"picks":[["azure-document-intelligence","p"],["docling","m"],["llamaparse","m"],["pypdfium2","m"],["reducto","m"],["amazon-textract","r"],["pdfplumber","r"],["pymupdf","r"]],"v":{"r":"The user requested a recommendation and subsequent implementation for extracting complex financial holding tables from PDFs. The agent chose Azure Document Intelligence (specifically the prebuilt-layout model), wrote the integration in app/notes/layout.py, updated the configuration in app/config.py and .env.example, wired it to default_reader in app/notes/read.py, and created tests verifying its functionality.","c":1,"e":[["file","app/notes/layout.py:1-596"],["file","app/notes/read.py:30-37"],["file",".env.example:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":16,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai-voice-agent-builder","secs":1145,"k":"5482cc5f-264a-40c6-9376-69e5659291ae-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":141,"picks":[["xai-voice-agent-builder","p"],["vapi","a"],["grok-voice-agent","m"]],"v":{"r":"The agent evaluated voice agent solutions suitable for frequent interruptions and low local resource overhead, recommended xAI Voice Agent Builder on grok-voice-latest, and upon approval implemented the agent definition, authenticated API tool endpoints, and phone number attachment logic.","c":0.95,"e":[["file","README.md:30-43"],["file","internal/voice/agent.go:10-48"],["file","internal/voice/phone.go:14-40"],["file","cmd/publish-voice-agent/main.go:16-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai-voice-agent-builder"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-21","repo":"java-telecom-splunk","variant":"base","family":"search-enterprise-java-telecom-splunk","pid":"SEARCH-7b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1257,"k":"54af6672-ca70-4c30-8144-5b7bbf79890f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":76,"picks":[["diy","p","d"],["solr","r"],["lucene","r"],["elasticsearch","r"],["opensearch","r"]],"v":{"r":"The agent evaluated external search engines (Elasticsearch, OpenSearch, Solr), embedded search (Lucene), and specialized engine features (Oracle Text), rejecting them all as unnecessary operational overhead for structured identifier lookups. Instead, it implemented a custom DIY search service (OrderSearchService) in Spring Boot backed by Oracle B-tree indexing on LINE_ORDER, updating order states via Kafka event projection.","c":0.95,"e":[["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/service/OrderSearchService.java"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/LineOrderController.java"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/repository/LineOrderRepository.java"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-21","repo":"django-care-portal","variant":"base","family":"in-app-communication-senior-enterprise-care","pid":"COMM-CARE-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"twilio","secs":1381,"k":"54cbbb17-f898-4ef1-80ba-1550c1a508dc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":106,"picks":[["twilio","p"],["agora","m"],["sendbird","m"],["vonage","m"],["stream","a"],["daily","r"]],"v":{"r":"The user prompt requested product recommendations and implementation for in-app messaging and video visits. 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Competing cloud storage providers (Amazon S3 and Google Cloud Storage) were evaluated and rejected due to stack mismatch.","c":1,"e":[["file","infra/main.bicep"],["file","Directory.Packages.props"],["file","src/Northmere.Billing.Api/Storage/BlobBillDocumentStore.cs"],["file","src/Northmere.Billing.Api/Program.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"base","family":"bc-aigw-prompt-b-01","pid":"AIGW-PB-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"portkey","secs":516,"k":"55ce2a60-f7e8-4039-8823-659f40f81dec-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":54,"picks":[["portkey","p"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["openrouter","r"],["vercel-ai-gateway","r"],["vercel-ai-sdk","r"],["amazon-bedrock","m"]],"v":{"r":"The run explicitly selected and implemented Portkey as the AI gateway, adding configuration settings, HTTP client logic for Portkey's API with exact-match caching and fallback targets, environment variable documentation, and full test suites.","c":1,"e":[["file","services/query/narrative.py:1-169"],["file","shared/config.py:39-49"],["file",".env.example:29-34"],["file","services/query/routers/dashboards.py:71-84"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":214,"k":"55d83320-354c-4584-bb6f-b68d5bd795bf-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":30,"picks":[["cursor-bugbot","p"],["psalm","m"]],"v":{"r":"The agent explicitly recommended Cursor Bugbot (Bugbot) to review pull requests for Laravel bugs, missing validation, and security vulnerabilities. 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It decided to bundle a static map image derived from OpenStreetMap tiles into `public/studio-map.png` with OSM attribution, while adding Google Maps navigation links for turn-by-turn directions.","c":0.95,"e":[["file","app/studio-location.ts:8"],["file","app/studio-map.tsx:1-15"],["file","public/studio-map.png"],["trace","21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openstreetmap"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-b-66","pid":"DPLY-PB-66g","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":188,"k":"567021e3-73eb-4137-a59b-e00765ddd75e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":24,"picks":[["render","p"],["digitalocean","r"],["fly-io","r"],["gcp","r"],["heroku","r"],["railway","r"],["vercel","r"]],"v":{"r":"The agent evaluated several hosting solutions for a small FastAPI service with persistent database connections and selected Render Starter ($7/month) to avoid cold starts and server management. 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The agent evaluated Amazon Kinesis, SQS/SNS, MSK, and Redis Streams, ultimately choosing and fully implementing Amazon Kinesis Data Streams (in Terraform, application code, and test suites).","c":1,"e":[["file","terraform/kinesis.tf:1-15"],["file","app/stream/kinesis.py:1-300"],["trace","23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"resolve-ai","secs":338,"k":"56a5ab80-f011-4c91-9ffd-d34b26cfbefd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":36,"picks":[["resolve-ai","p"],["cleric","m"],["traversal","m"],["middleware-opsai","r"],["healops","m"]],"v":{"r":"The run selected Resolve AI, configured IAM role definitions in ops/monitoring/main.tf scoped strictly to CloudWatch logs and metrics without exposing raw database/event data, and documented its setup in docs/monitoring.md.","c":1,"e":[["file","ops/monitoring/main.tf:9-115"],["file","docs/monitoring.md:9-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"obs-junior","pid":"OBS-5a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry","secs":1063,"k":"56d1bd8c-dc5d-4258-9132-48d0fa8c1426-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":109,"picks":[["sentry","p"],["datadog","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Sentry for error tracking and alerting in the Node.js/Express application, adding @sentry/node to dependencies, writing instrumentation and setup scripts, and adding deployment automation.","c":1,"e":[["file","package.json"],["file","instrument.js"],["file","scripts/setup-sentry-alerts.js"],["file","server.js"],["file","deploy.sh"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Error monitoring","theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-auth-prompt-b-09","pid":"AUTH-PB-09a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":804,"k":"56f3ba23-f84c-4d07-a482-aae513f0883d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":81,"picks":[["workos-authkit","p"],["auth0","m"],["clerk","r"],["authjs","m"],["keycloak","m"],["zitadel","m"]],"v":{"r":"The agent selected WorkOS AuthKit as its recommendation, installed the `@workos-inc/node` SDK, built a full adapter in `src/auth.js` with sealed session cookies and workspace organization checks, wrote comprehensive tests, and updated the README with operational setup details.","c":1,"e":[["file","package.json"],["file","src/auth.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":4,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"stor-junior-helpdesk-billing-starter","pid":"STOR-06a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-r2","secs":1013,"k":"5705e101-5917-4ed0-9b5f-740474845191-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":89,"picks":[["cloudflare-r2","p"],["amazon-s3","r"],["digitalocean-spaces","r"],["minio","r"],["supabase-storage","r"],["uploadthing","r"]],"v":{"r":"The agent evaluated several managed object storage solutions and recommended Cloudflare R2. Upon receiving user confirmation, the agent fully implemented the Cloudflare R2 integration using `@aws-sdk/client-s3` and `@aws-sdk/s3-request-presigner`, creating adapter modules, server endpoints, tests, and documentation.","c":1,"e":[["file","src/r2.js"],["file","src/attachments.js"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":12,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-04","pid":"EVAL-PC-04a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":988,"k":"5747d2dc-38fd-43fd-8b63-3d818510aeb2-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["diy","p","d"],["langsmith","r"],["promptfoo","r"]],"v":{"r":"The agent evaluated external eval frameworks (Promptfoo, LangSmith, Braintrust, Inspect AI) and rejected them in favor of implementing a native in-repo pytest evaluation harness with custom oracles and test markers.","c":0.95,"e":[["file","docs/evals.md"],["file","evals/cases.py"],["file","tests/test_assistant_eval.py"],["file","tests/conftest.py"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"Anthropic","sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"panl-senior-nuxt-fieldservice","pid":"PANL-08c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":405,"k":"5766d8bf-c9ea-4dbc-8568-055b88d071e0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":83,"picks":[["posthog","p"],["amplitude","r"],["fathom","r"],["grafana","r"],["matomo","r"],["metabase","r"],["mixpanel","r"],["plausible","r"],["umami","r"]],"v":{"r":"The agent evaluated several product and web analytics options before choosing PostHog EU Cloud. It implemented server-side event tracking using `posthog-node` across login and job CRUD endpoints to maintain cookieless tracking without triggering EU cookie banner requirements.","c":1,"e":[["file","package.json"],["file","server/utils/analytics.ts"],["file","server/plugins/analytics.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"maptiler","secs":1925,"k":"5775fda7-e488-481f-86e5-d545f46ceb98-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":202,"picks":[["maptiler","p"],["maplibre","m"],["amazon-location","r"],["deck-gl","r"],["google-maps","r"],["leaflet","r"],["mapbox","r"],["protomaps","r"],["azure-maps","m"],["here","m"],["openrouteservice","m"],["osrm","m"],["stadia-maps","m"],["valhalla","m"]],"v":{"r":"The run selected MapTiler Cloud to host the custom-branded vector tiles and style, rendering them in the web app via MapLibre GL JS. The API resolves UN/LOCODE coordinates and generates leg paths (using searoute-ts for ocean routing, great-circle arcs for air, and straight lines for road). Mapbox, Google Maps, Amazon Location Service, Leaflet, Protomaps, and deck.gl were explicitly deliberated and rejected in favor of the MapTiler + MapLibre stack.","c":0.95,"e":[["file","apps/web/.env.example"],["file","apps/web/app/shipments/shipment-map.tsx"],["trace","26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maptiler"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":8,"date":"2026-09-22","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e4-bramwick","pid":"CDNY-E4-BRAMWICK-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"pydantic-ai","secs":2388,"k":"57775a34-4d53-4ad1-aedc-9e9703bad07e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":256,"picks":[["pydantic-ai","p"],["agno","r"],["claude-agent-sdk","r"],["crewai","r"],["daytona","r"],["e2b","r"],["langgraph","r"],["microsoft-agent-framework","r"],["modal","r"],["openai-agents-sdk","r"],["temporal","r"],["llamaindex","m"]],"v":{"r":"The run explicitly chose Pydantic AI for its agent execution loop, deferred tools (approval gating), and multi-provider support, implementing the full agent service in the repository using Pydantic AI while comparing and rejecting alternative agent runtimes and orchestration frameworks.","c":1,"e":[["file","agent/requirements.txt:1"],["file","agent/slack_agent/tools.py:8"],["trace","38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pydantic-ai"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-21","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"sqlite-vec","secs":709,"k":"57dd6197-806f-42e3-a968-8d8ad26c33fa-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":72,"picks":[["sqlite-vec","p"],["faiss","r"],["chroma","r"],["lancedb","r"],["pgvector","r"],["qdrant","r"]],"v":{"r":"The agent explicitly recommended and installed `sqlite-vec` (along with `sentence-transformers` for embeddings), creating virtual tables with `vec0` in `app/vectors.py` and wiring search endpoints directly into Flask and SQLite. 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issuer for API SSO and fully implemented `@halberd/auth` to verify Auth0-issued JWTs with local JWKS caching in the Fastify inventory service.","c":1,"e":[["file",".env.example:24-30"],["file","README.md:20"],["file","packages/auth/package.json:5"],["file","packages/auth/src/config.ts:1-15"],["file","packages/auth/src/verify.ts:40-66"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"oc":["auth0","keycloak","microsoft entra id"],"theme":"Procurement and compliance"},{"cat":"code-review","wave":6,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"code-review-senior-grebe","pid":"CR-GREBE-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"coderabbit","secs":465,"k":"58129dcf-6497-42f4-aded-a56b169c3c37-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["coderabbit","p"]],"v":{"r":"The agent selected CodeRabbit as the code review tool matching the project's zero-cost and low-maintenance requirements, and created a complete `.coderabbit.yaml` configuration file.","c":1,"e":[["file",".coderabbit.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-21","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"grafana","secs":1047,"k":"5833b782-650e-4461-b310-792d3970a9d3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":100,"picks":[["grafana","p"],["opentelemetry","m"],["datadog","r"],["honeycomb","r"],["new-relic","r"],["prometheus","r"],["sentry","r"]],"v":{"r":"The agent explicitly selected and configured Grafana Cloud as the primary observability backend, providing Kubernetes deployment env configurations, Spring Boot OTLP post-processing, Logback appenders, and Grafana alert rule 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OpenTelemetry is used strictly as the instrumentation SDK layer and X-Ray handles traces within the AWS ecosystem.","c":0.95,"e":[["file","CLAUDE.md:29-32"],["file","README.md:44-64"],["file","infra/lib/api-observability.ts:1-270"],["file","apps/api/src/observability/metrics.ts:48-100"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"storage","wave":4,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"stor-senior-go-customer-ops","pid":"STOR-05a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":985,"k":"59965f5f-e594-4b7e-becf-c1852019d83d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":97,"picks":[["amazon-s3","p"]],"v":{"r":"The agent selected Amazon S3 to satisfy the requirement for managed object storage with signed URL downloads, implementing S3 client operations and presigned URL generation with `github.com/aws/aws-sdk-go-v2/service/s3`.","c":1,"e":[["file","internal/blob/s3blob/s3blob.go:1-64"],["file","go.mod:6-8"],["file",".env.example:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e1-cairnfold","pid":"CDNY-E1-CAIRNFOLD-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"dbos-transact","secs":2098,"k":"59ca88e9-642f-4db1-90d1-152adbf483c2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":242,"picks":[["dbos-transact","p"],["inngest","r"],["langgraph","r"],["openai-agents-sdk","r"],["temporal","r"],["claude-agent-sdk","m"],["cursor-sdk","m"],["daytona","m"],["e2b","m"],["langchain","m"],["mastra","m"],["modal","m"],["pydantic-ai","m"],["vercel-ai-sdk","m"]],"v":{"r":"The run explicitly evaluated multiple agent runtime and durable workflow systems before committing to DBOS Transact (`github.com/dbos-inc/dbos-transact-golang`). 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Hosted alternatives like Braintrust and LangSmith were considered and explicitly rejected due to extra credential and operational burdens.","c":1,"e":[["file","eval/promptfooconfig.yaml"],["file","eval/provider.ts"],["file","eval/run.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"bc-srvl-prompt-c-08","pid":"SRVL-PC-08a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":898,"k":"5a082002-a207-4a37-b90f-1e0e576fecb8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":65,"picks":[["diy","p","d"],["inngest","m"],["trigger-dev","m"],["aws-lambda","r"],["cloudflare-workers","r"],["vercel-functions","r"],["fly","m"],["render","m"],["upstash-qstash","m"]],"v":{"r":"The user asked for a serverless solution for daily workshop reminder emails. 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It chose and built a custom DIY background scheduler (`scripts/start.js`, `scripts/schedule-reminders.js`, and `scripts/reminders.js`) running colocated with the app in Docker on Fly.io, sending emails via Resend.","c":0.95,"e":[["file","scripts/start.js:1-37"],["file","scripts/schedule-reminders.js:1-38"],["file","scripts/reminders.js:1-226"],["file","Dockerfile:18"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"brave-search","secs":1520,"k":"5a191af3-aa7f-4fdb-b03c-91cd115cad7a-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":145,"picks":[["brave-search","p"],["duckduckgo","m"],["playwright","m"],["puppeteer","m"],["google-cse","r"],["perplexity-sonar","r"]],"v":{"r":"The agent evaluated several search mechanisms and implemented Brave Search API in `apps/courses/sources.py`, configured it in `brightloom/settings.py`, and added deployment/test fixtures across the project. 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The codebase was fully updated to connect to Neon with psycopg, including SSL handling, transaction management, and test isolation.","c":1,"e":[["file","app.py:3-6"],["file","app.py:48-60"],["file",".env.example:5-9"],["file","README.md:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-21","repo":"dotnet-field-ops","variant":"base","family":"voice-transcription-field","pid":"VOICE-STT-FIELD-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure","secs":1256,"k":"5eb415d0-91a4-4b4f-a8af-97a1f0151637-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":137,"picks":[["azure","p"],["assemblyai","m"],["elevenlabs","m"],["google","m"],["speechmatics","m"],["deepgram","r"],["openai","r"]],"v":{"r":"The agent explicitly recommended Azure AI Speech fast transcription, received approval, and fully implemented it using the official Azure.AI.Speech.Transcription NuGet package, configuring phrase lists from work order details, confidence score thresholds, and word timestamps.","c":1,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj:10-11"],["file","src/BrackenRidge.FieldOps/Services/AzureSpeechTranscriber.cs:1-118"],["file","README.md:29-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure"],"sk":0,"seam":"Field speech-to-text","theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apache-kafka","secs":2002,"k":"5eed521a-e3bd-4467-a430-96ad8f5a772c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":224,"picks":[["apache-kafka","p"],["aiven","r"],["amazon-sqs","r"],["apache-pulsar","r"],["confluent","r"],["google-pubsub","r"],["nats","r"],["rabbitmq","r"],["redpanda","r"],["warpstream","r"],["google-managed-kafka","m"],["redis","m"]],"v":{"r":"The run recommended and fully implemented Apache Kafka via Strimzi Kubernetes manifests and the franz-go client library, replacing a polled Postgres table with an outbox relay architecture.","c":1,"e":[["file","deploy/k8s/kafka/kafka.yaml"],["file","go.mod:7-8"],["file","internal/eventlog/kafka.go"],["file","Makefile:35-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1578,"k":"5f0de49e-2200-4e53-b6fb-805b9eefd7ca-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["diy","p","d"],["apache-kafka","r"],["celery","r"],["cloud-tasks","r"],["google-pubsub","r"],["rabbitmq","r"],["redis","r"],["temporal","r"]],"v":{"r":"The agent explicitly recommended and then implemented a custom transactional outbox pattern directly backed by the existing PostgreSQL database. It considered and explicitly rejected several managed and self-hosted message queue/workflow alternatives (Cloud Tasks, Pub/Sub, Cloud Workflows, Temporal, Celery, Redis, RabbitMQ, Kafka) due to ordering, reconcile querying, and operational overhead constraints.","c":0.95,"e":[["file","db/schema.sql"],["file","web/app/services/outbox.py"],["file","web/app/storage/postgres.py"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-auth-prompt-c-13","pid":"AUTH-PC-13a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":1156,"k":"5f2fa467-fa9c-40cc-b418-6e78df5f95e6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":172,"picks":[["workos-authkit","p"],["auth0","a"],["amazon-cognito","r"],["clerk","r"]],"v":{"r":"The agent evaluated multiple auth providers (WorkOS AuthKit, Amazon Cognito, Auth0, and Clerk) against the requirements for email/password, MFA, and Google/GitHub OAuth on top of a FastAPI/PostgreSQL backend. It explicitly chose and implemented WorkOS AuthKit with full code changes, migrations, and tests.","c":1,"e":[["file","requirements.txt:46"],["file","app/workos_client.py:1-28"],["file","app/auth_service.py:1-318"],["file","app/routers/auth.py:53-189"],["file","README.md:25-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":4,"date":"2026-09-22","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-d-62","pid":"DPLY-PD-62g","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel","secs":986,"k":"5f499e04-23a2-405a-be7b-d5ebec8fc7f5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":116,"picks":[["vercel","p"],["railway","m"]],"v":{"r":"The run explicitly committed to Vercel as its primary deployment target. It created vercel.json, installed @vercel/functions, updated db.ts for Vercel Fluid compute connection pooling, documented the full Vercel release path in README.md, and executed an unauthenticated temporary deployment using Vercel CLI.","c":1,"e":[["file","vercel.json:1-8"],["file","package.json:12-20"],["file","lib/db.ts:1-27"],["file","README.md:28-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"No operations burden"},{"cat":"observability","wave":4,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"obs-uptime-nextjs-booking","pid":"OBS-UPTIME-03a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":842,"k":"5f6e1416-0123-4dfd-868d-1d050e1d750a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":72,"picks":[["diy","p","d"],["betterstack","r"],["checkly","r"],["datadog","r"],["uptime-robot","r"]],"v":{"r":"The run opted against adopting a third-party observability or synthetic monitoring platform (rejecting Checkly, Datadog, Better Stack, and UptimeRobot). Instead, it built a hand-written monitoring script in Node.js executed on a 15-minute cron schedule via GitHub Actions.","c":0.95,"e":[["file","scripts/check-schedule.mjs"],["file","package.json"],["file",".github/workflows/production-check.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-21","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1312,"k":"5f7aa4d5-ee3a-4fa5-8d84-86f262551344-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":84,"picks":[["metronome","p"],["amberflo","m"],["flexprice","m"],["m3ter","m"],["schematic","m"],["stigg","m"],["kill-bill","r"],["lago","r"],["maxio","r"],["orb","r"],["stripe-billing","r"],["zuora","r"]],"v":{"r":"The run explicitly chose Metronome as the third-party revenue and contract billing system. It implemented an ingest client (`internal/metronome/client.go`), export pipeline (`internal/export`), and database archiving, while routing contracts and usage event ingestion to Metronome. Other alternatives like Orb, Lago, Stripe Billing, and Zuora were evaluated and rejected during deliberation.","c":0.98,"e":[["file","internal/metronome/client.go:1-110"],["file","cmd/control/main.go:37-45"],["file","README.md:26-32"],["file","docs/contract-shapes.md:3-8"],["trace","seq 24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":3,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"esign-junior-marlowe","pid":"SIGN-MARLOWE-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1883,"k":"5fad6ae1-9988-468a-aee0-e09d5819a8a5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":136,"picks":[["diy","p","d"],["docuseal","r"],["docusign","r"],["dropbox-sign","r"],["signable","r"]],"v":{"r":"The agent explicitly evaluated third-party e-signature vendors (DocuSign, Adobe Sign, Dropbox Sign, Signable) and self-hosted tools (DocuSeal), rejecting them in favor of building an in-house e-signature module directly into the repository's FastAPI web app and PDF renderer service.","c":0.95,"e":[["file","web/app/signing.py"],["file","web/app/api/sign.py"],["file","renderer/app/agreement.py"],["file","web/app/services/agreements.py"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e2-lumen","pid":"CDNY-E2-LUMEN-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1828,"k":"5fd09b33-a11c-4f2c-9b4b-5485191ac0b9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":229,"picks":[["vercel-ai-sdk","p"],["vercel-workflow","p"],["cloudflare-agents","r"],["cursor-sdk","r"],["inngest-agent-kit","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["assistant-ui","m"],["claude-agent-sdk","m"],["cloudflare-sandboxes","m"],["copilotkit","m"],["crewai","m"],["cursor-cloud-agents","m"],["daytona","m"],["e2b","m"],["inngest","m"],["langchain","m"],["langgraph-platform","m"],["llamaindex","m"],["microsoft-agent-framework","m"],["modal","m"],["pydantic-ai","m"],["semantic-kernel","m"],["trigger-dev","m"],["vertex-agent-engine","m"]],"v":{"r":"The agent evaluated several agent frameworks and durable runtimes against the repository constraints, explicitly recommending and implementing a combined architecture of Vercel AI SDK (@ai-sdk/workflow, @ai-sdk/react, ai) and Vercel Workflow (workflow package and next.config plugin) for the agent runtime. 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Other cloud and storage/queue vendors (GCP, Azure, MinIO, Redis) were briefly considered during reasoning but not adopted.","c":1,"e":[["file","package.json"],["file","src/s3-evidence-store.js"],["file","src/sqs-evidence-jobs.js"],["file","src/create-return-evidence-service.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"flutter-map","secs":1260,"k":"6380167d-5547-4dd6-8486-2f00ac29196e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":141,"picks":[["flutter-map","p"],["maptiler","m"],["openmaptiles","m"],["openstreetmap","m"],["protomaps","m"],["google-maps","r"],["mapbox","r"],["maplibre","m"]],"v":{"r":"The agent evaluated mapping solutions against the project's Flutter cross-platform architecture and privacy requirements (keeping track and live coordinate data strictly within their own backend). It recommended and implemented flutter_map with flutter_map_vector_tiles reading self-hosted PMTiles/Protomaps vector basemaps, while explicitly rejecting Google Maps and Mapbox.","c":1,"e":[["file","pubspec.yaml"],["file","lib/widgets/walk_map.dart"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["flutter-map"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"bc-panl-prompt-b-06","pid":"PANL-PB-06c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":682,"k":"639a565a-4e9b-4510-9e62-ffbb3764aad9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":99,"picks":[["posthog","p"],["grafana","m"],["amplitude","r"],["apache-superset","r"],["heap","r"],["metabase","r"],["mixpanel","r"]],"v":{"r":"The agent evaluated several product analytics and BI tools (PostHog, Amplitude, Mixpanel, Metabase, Superset, Heap) for handling 100M monthly events with self-serve dashboards. It selected PostHog, added `posthog` to `requirements.txt`, created `app/analytics.py` integrating the PostHog Python SDK, wired event capture across FastAPI routers, and configured Terraform and environment settings.","c":1,"e":[["file","requirements.txt:22"],["file","app/analytics.py:1-162"],["file","app/config.py:21-22"],["file","terraform/ecs.tf:126-135"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"observability","wave":5,"date":"2026-09-22","repo":"express-api","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grafana","secs":1363,"k":"63dfb7d4-c046-4f83-85d8-35a703d4a6bc-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":182,"picks":[["grafana","p"],["opentelemetry","m"],["datadog","r"],["jaeger","m"],["prometheus","m"]],"v":{"r":"The agent selected Grafana Cloud as the unified observability solution for traces, logs, metrics, and alerting, wiring the application with OpenTelemetry SDK exporters and adding an automated alert provisioning script for deployment.","c":1,"e":[["file","README.md"],["file",".env.example"],["file","deploy.sh"],["file","scripts/provision-grafana-alerts.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"evals","wave":10,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-04","pid":"EVAL-PB-04a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1051,"k":"64214b2c-9678-4fe0-92ed-9c86e8bfe831-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":64,"picks":[["diy","p","d"],["braintrust","r"],["langfuse","r"],["langsmith","r"],["phoenix","r"],["promptfoo","r"]],"v":{"r":"The agent explicitly evaluated third-party eval tools (Promptfoo, LangSmith, Braintrust, Langfuse, Phoenix) and rejected them in favor of building a custom in-repo evaluation harness (`analyst-eval`, `app/eval_run.py`, `app/eval_score.py`, and `evals/cases.json`). The DIY harness executes the exact existing pipeline and scores both computed values and textual responses.","c":1,"e":[["file","app/eval_run.py:1-259"],["file","app/eval_score.py:1-309"],["file","evals/cases.json:1-76"],["file","pyproject.toml:28"],["trace","25"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"Anthropic","sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"evals","wave":4,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-08","pid":"EVAL-PB-08a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"promptfoo","secs":1190,"k":"6449f6bb-fce7-462a-a3f7-937c7ca11e78-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":83,"picks":[["promptfoo","p"],["braintrust","r"],["deepeval","r"],["diy","r","d"],["inspect-ai","r"],["langfuse","r"],["langsmith","r"],["openai-evals","r"],["phoenix","r"],["ragas","r"]],"v":{"r":"The run explicitly selected Promptfoo as its evaluation framework. It installed pinned Promptfoo npm dependencies in `evals/package.json`, configured the test suite in `evals/promptfooconfig.yaml`, created Python provider and assertion hooks, and added a GitHub Actions CI workflow configured for a self-hosted runner to ensure customer data remains local.","c":1,"e":[["file",".github/workflows/eval.yml"],["file","evals/package.json"],["file","evals/README.md"],["trace","item:24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Self-hosting, privacy or residency"},{"cat":"perf-ci","wave":6,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"jmh","secs":1545,"k":"64553d84-ae92-4a1f-a67a-bff9a6ac8d8b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":115,"picks":[["jmh","p"],["codspeed","r"],["gatling","r"]],"v":{"r":"The agent selected and fully implemented OpenJDK JMH configured inside Maven with a dedicated profile (`-Pperf`), custom `BaselineGate` comparison logic against `perf/baseline.json`, and integrated it as a required `performance` CI check in GitHub Actions.","c":1,"e":[["file","pom.xml"],["file","perf/baseline.json"],["file",".github/workflows/build.yml"],["file","src/benchmark/java/eu/kontovar/benchmark/LedgerWorkloadBenchmark.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["jmh"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"builtin","secs":1538,"k":"6475525b-e958-492f-9dd7-bc128a4816ce-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":196,"picks":[["builtin","p","b"],["docparser","m"],["rossum","m"],["tesseract","r"],["mistral-ocr","m"]],"v":{"r":"The repository documentation specifies that the hosting zone provides an internal OpenAI-compatible model inference gateway (`https://inference.interne.bsn/v1`). The agent selected and implemented integration with the `pixtral-large-latest` vision model via this gateway to perform document OCR and value extraction, storing results in a review queue until case worker confirmation.","c":0.95,"e":[["file",".env"],["file","README.md"],["file","src/Service/ExtractionDocumentService.php"],["file","helm/citizen-portal/values.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"voice-agents-insurance","pid":"VAGT-INSURANCE-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"slng","secs":1401,"k":"64775160-e776-4862-8a5f-f6c76a753c9f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":162,"picks":[["slng","p"],["amazon-connect","m"],["bland-ai","m"],["cognigy","m"],["deepgram-voice-agent","m"],["livekit-agents","m"],["parloa","m"],["polyai","m"],["retell-ai","m"],["synthflow","m"],["twilio-conversationrelay","m"],["vapi","m"],["voiceflow","m"],["openai-realtime","r"]],"v":{"r":"The run evaluated several voice agent platforms against strict EU-pinned inference requirements and live call workflows, then recommended and implemented SLNG pinned to its Germany (eu-west) endpoints. The implementation includes full .NET integration with webhook controllers for FNOL, audit, transfer, and agent provisioning via SlngGateway.","c":1,"e":[["file","src/Meridian.PolicyCore/Voice/VoiceAgentProvisioner.cs"],["file","src/Meridian.PolicyCore/Voice/SlngGateway.cs"],["file","src/Meridian.PolicyCore/Voice/SlngOptions.cs"],["file","src/Meridian.PolicyCore/Voice/SlngRegionGuard.cs"],["file","src/Meridian.PolicyCore/Controllers/VoiceController.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["slng"],"sk":0,"theme":"Procurement and compliance"},{"cat":"serverless","wave":2,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-srvl-prompt-b-02","pid":"SRVL-PB-02a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-lambda","secs":814,"k":"648b314a-5d69-4e57-b207-98d73a4ec9ec-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":98,"picks":[["aws-lambda","p"],["azure-functions","r"],["cloudflare-workers","r"],["google-cloud-functions","r"],["vercel-functions","r"]],"v":{"r":"The agent selected AWS Lambda behind an API Gateway HTTP API to handle inventory update webhooks, implementing the function package in TypeScript with esbuild packaging and Terraform infrastructure definitions. Alternatives like Google Cloud Functions, Azure Functions, Cloudflare Workers, and Vercel Functions were explicitly evaluated and rejected due to networking and VPC reachability constraints.","c":1,"e":[["file","platform/terraform/inventory-webhook/main.tf"],["file","services/inventory-webhook/package.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":6,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"bc-panl-prompt-c-08","pid":"PANL-PC-08c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metabase","secs":548,"k":"64916893-28bf-49c1-a61b-db47429bd06e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":71,"picks":[["metabase","p"],["plausible","r"],["posthog","r"],["umami","r"]],"v":{"r":"The agent selected Metabase as the primary self-hosted analytics solution, added a `docker-compose.yml` service for Metabase, created database views and status tracking tables via Drizzle migrations, and provided a provisioning script (`scripts/provision-metabase.ts`). Alternative self-hosted analytics tools (PostHog, Umami, Plausible) were explicitly evaluated and rejected in the agent's response.","c":1,"e":[["file","docker-compose.yml:1-22"],["file","scripts/provision-metabase.ts:1-114"],["file","drizzle/0001_analytics.sql:1-38"],["file","README.md:74-92"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"code-review","wave":6,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"code-review-senior-loventis","pid":"CR-LOVENTIS-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"greptile","secs":386,"k":"64c7ced6-b289-4fd1-8b12-fb51b4968391-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["greptile","p"],["coderabbit","m"]],"v":{"r":"The agent selected Greptile as the automated code reviewer for pull requests and fully set up its configuration (.greptile/config.json, .greptile/files.json, .greptile/rules.md) and setup instructions in README.md.","c":1,"e":[["file",".greptile/config.json:1-27"],["file",".greptile/files.json:1-44"],["file",".greptile/rules.md:1-35"],["file","README.md:41-67"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["greptile"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e1-hollowgate","pid":"CDNY-E1-HOLLOWGATE-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"restate","secs":1314,"k":"64d2818f-efbd-4d1c-b8fd-f81b932ef661-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":123,"picks":[["restate","p"],["e2b","c"],["vercel-ai-sdk","c"],["cursor-sdk","r"],["daytona","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["modal","r"],["temporal","r"],["trigger-dev","r"],["vercel-workflow","r"],["claude-agent-sdk","m"],["crewai","m"],["langchain","m"],["openai-agents-sdk","m"]],"v":{"r":"The run evaluated multiple durable workflow engines, LLM abstractions, and sandboxing tools against requirements for indefinite human waits, mid-run crash resilience, step idempotency, and isolated execution. It selected and implemented Restate as the primary durable workflow orchestrator, E2B as a co-primary sandboxed execution engine for generated code, and the Vercel AI SDK as a co-primary model provider registry, rejecting alternatives like Inngest, Temporal, DBOS, and LangGraph.","c":0.95,"e":[["file","package.json:17"],["file","lib/returned-gift/workflow.ts:56-123"],["file","worker/returned-gift.ts:1-18"],["file","package.json:16"],["file","lib/returned-gift/sandbox.ts:1-30"],["file","package.json:14-18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["restate"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"bc-search-prompt-b-08","pid":"SEARCH-PB-08a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"typesense","secs":872,"k":"64e6587b-e7ee-4ab7-a546-6231bbfb5e15-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":117,"picks":[["typesense","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["opensearch","r"]],"v":{"r":"The agent evaluated several search options (Typesense, Meilisearch, Elasticsearch, OpenSearch, Postgres FTS, and Algolia) against the user's constraints of self-hosting, typo tolerance, low latency, and index data sovereignty. It selected Typesense, fully implementing docker-compose definitions, indexing scripts, client query logic, sync hooks, and UI components.","c":1,"e":[["file","docker-compose.yml:1-22"],["file","server/search/client.ts:1-231"],["file","server/api/search.get.ts:1-25"],["file","components/DirectorySearch.vue:1-184"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-21","repo":"commerce-return-evidence","variant":"base","family":"bc-clde-prompt-c-01","pid":"CLDE-PC-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws","secs":251,"k":"64ea87fc-ea8b-404b-bd25-466c7c03fbe2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":27,"picks":[["aws","p"],["azure","m"],["gcp","m"],["redis","m"],["cloudflare","r"],["minio","r"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent explicitly recommended Amazon Web Services (S3 for object storage and SQS for queues), installed the AWS SDK clients, implemented concrete regional adapters for both ports, and wrote tests verifying the integration.","c":1,"e":[["file","package.json"],["file","src/s3-evidence-store.js"],["file","src/sqs-evidence-jobs.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"internationalization","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"i18n-junior-kesterly-e2","pid":"I18N-KESTERLY-03a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vue-i18n","secs":1779,"k":"65000eb7-00d7-4a51-a996-164040cf0ea7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":274,"picks":[["vue-i18n","p"],["crowdin","m"],["lokalise","m"],["weblate","m"],["i18next","r"],["lingui","r"],["gettext","m"],["intl-api","m"]],"v":{"r":"The agent evaluated internationalization options for a Nuxt 3 project and selected @nuxtjs/i18n (v9), installing the module, configuring no_prefix routing with lazy-loaded JSON locales, adding a user locale column in the database, updating templates and date formatters to use useI18n, and adding catalog synchronization checks.","c":1,"e":[["file","nuxt.config.ts:5-32"],["file","package.json:17"],["file","README.md:18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vue-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":5,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-c-63","pid":"DPLY-PC-63g","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"render","secs":441,"k":"651f7fa1-638f-418a-8b03-452278465985-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":61,"picks":[["render","p"],["railway","m"],["vercel","r"]],"v":{"r":"The agent evaluated hosting options and selected Render to run the Node/Express backend and static Vite frontend together in a single persistent container close to the existing Neon database. It implemented a complete `render.yaml` blueprint configuration and updated the application code and documentation accordingly.","c":1,"e":[["file","render.yaml:1-23"],["file","README.md:21-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Speed to ship"},{"cat":"code-review","wave":5,"date":"2026-09-22","repo":"express-api","variant":"base","family":"code-review-junior-corkboard","pid":"CR-CORKBOARD-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qodo","secs":1508,"k":"65209442-b8f2-44da-9738-a425a4fe385d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":112,"picks":[["qodo","p"],["coderabbit","r"]],"v":{"r":"The run chose and fully configured PR-Agent (by Qodo) as a GitHub Action in `.github/workflows/pr-agent.yml` along with domain-specific review rules in `.pr_agent.toml`. It explicitly considered and rejected CodeRabbit due to its per-seat pricing model.","c":1,"e":[["file",".github/workflows/pr-agent.yml:1-75"],["file",".pr_agent.toml:1-57"],["file","README.md:25-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"perf-ci","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":629,"k":"6524954c-612d-42b5-bfb5-2fc866c48c16-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":77,"picks":[["diy","p","d"],["autocannon","r"],["codspeed","r"],["hyperfine","r"],["k6","r"],["lighthouse-ci","r"],["tinybench","r"],["vitest-bench","r"]],"v":{"r":"The agent evaluated multiple performance testing and benchmarking tools (Lighthouse CI, Grafana k6, CodSpeed, Vitest Bench, hyperfine, Autocannon, Tinybench) but rejected them due to credential constraints, unneeded external service dependencies, or mismatch with testing an in-process async mailer loop. It wrote a completely custom DIY Node.js benchmark script against a local fixture server, configured a committed latency budget JSON, and wired it to run as a blocking step in GitHub Actions.","c":0.95,"e":[["file","scripts/reminder-latency.mjs:1-159"],["file",".github/workflows/reminder-latency.yml:1-25"],["file","perf/reminder-baseline.json:1-12"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"voice-agents-helpdesk","pid":"VAGT-HELPDESK-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1480,"k":"6537582b-4c3a-49ec-928c-835e104ff408-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":146,"picks":[["diy","p","d"],["livekit-agents","m"],["openai-realtime","m"],["retell-ai","m"],["vapi","m"],["twilio-conversationrelay","r"],["twilio-programmable-voice","m"]],"v":{"r":"Rather than adopting an off-the-shelf hosted voice agent platform (such as Vapi, Retell AI, or Twilio ConversationRelay), the agent designed and implemented a full custom voice agent phone bridge in TypeScript under `bridge/`. The custom bridge connects Twilio Media Streams WebSocket audio to Deepgram STT (nova-2) and TTS (aura-asteria-en), orchestrating turn state, interruption barge-in, caller write confirmation gates, and warm transfer handoffs using the Cursor SDK.","c":0.95,"e":[["file","bridge/src/session.ts"],["file","bridge/src/server.ts"],["file","bridge/src/tools.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"stockroom-receiving","variant":"base","family":"ocr-stockroom-receiving","pid":"OCR-STOCKROOM-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":470,"k":"6547192b-ebef-4e68-8b17-7f78772a6f05-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":41,"picks":[["azure-document-intelligence","p"],["abbyy-vantage","m"],["nanonets","m"],["rossum","m"],["tesseract","m"],["veryfi","m"],["amazon-textract","r"],["google-document-ai","r"],["hyperscience","m"],["llamaparse","m"],["mindee","m"]],"v":{"r":"The agent selected Azure AI Document Intelligence and installed `@azure-rest/ai-document-intelligence` to implement a concrete infrastructure adapter for the validation jobs port, using custom neural model `packing-slip-neural` (API 2024-11-30). Several alternatives (Google Cloud Document AI, Amazon Textract, OpenAI multimodal models, Rossum, Nanonets, etc.) were evaluated and rejected in reasoning.","c":1,"e":[["file","package.json"],["file","src/infrastructure/documentIntelligenceReceivingJobs.js"],["file","src/infrastructure/packingSlip.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"elevenlabs-agents","secs":1346,"k":"65755eb9-90a6-454f-a87d-0f525956092e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":106,"picks":[["elevenlabs-agents","p"],["twilio-conversationrelay","m"],["vapi","a"],["smallest-ai","r"],["livekit-agents","r"]],"v":{"r":"The run evaluated ElevenLabs Agents and Smallest.ai alongside alternatives like Vapi, Retell, and LiveKit. It selected ElevenLabs Agents for its native English/French bilingual support, keyword-boosted Scribe STT, native Twilio phone integration, and webhook tool capabilities. 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Other platforms (Cloudflare Workers, Netlify Functions, AWS Lambda, Railway, Render) were only mentioned or probed in environment checks during deliberation.","c":0.95,"e":[["file","nuxt.config.ts"],["file","vercel.json"],["trace","seq 25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"telnyx-ai-assistant","secs":1004,"k":"67e156f7-47b4-46ce-9c6b-76999fa7ce8a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":129,"picks":[["telnyx-ai-assistant","p"],["bland-ai","r"],["deepgram-voice-agent","r"],["elevenlabs-agents","r"],["retell-ai","r"],["twilio-conversationrelay","r"],["vapi","r"],["amazon-connect","m"],["openai-realtime","m"],["pipecat","m"],["smallest-ai","m"],["synthflow","m"],["ultravox","m"]],"v":{"r":"The agent evaluated multiple hosted voice agent options (ElevenLabs, Smallest.ai, Retell AI, Vapi, Bland AI, Deepgram, Twilio) against strict cost and host resource constraints. It explicitly recommended and implemented Telnyx AI Assistant (Voice AI), building an outbound client and an Ed25519-signed HTTPS adapter for dynamic variables and idempotent interaction logging.","c":1,"e":[["file","internal/telnyx/client.go:1-72"],["file","internal/telnyx/adapter.go:1-187"],["file","README.md:29-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["telnyx-ai-assistant"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":4,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"jobs-common-next-storefront","pid":"JOBS-COMMON-NEXT-STORE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qstash","secs":1007,"k":"67f9508c-01d7-4fe3-81d6-ffe57fb9b532-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":125,"picks":[["qstash","p"],["inngest","m"],["vercel-workflow","m"],["vercel-queues","m"]],"v":{"r":"The agent selected Upstash QStash as the background queue and execution runtime, installing `@upstash/qstash`, implementing queue management, signature verification, retry policies, and webhook handoff routes.","c":1,"e":[["file","package.json"],["file","lib/qstash.ts"],["file","lib/receipts.ts"],["file","app/api/receipts/send/route.ts"],["file","app/api/receipts/failed/route.ts"],["file","app/api/webhooks/stripe/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qstash"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":1438,"k":"685bb04b-a353-44d8-9f23-c407946df05e-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":136,"picks":[["leaflet","p"],["maa-amet","p"],["google-maps","r"],["mapbox","r"],["nominatim","r"],["openstreetmap","r"]],"v":{"r":"The run adopted Leaflet as the interactive map UI component library and integrated Maa-amet (Estonian Land Board / In-AKS) for both WMTS tile rendering and address geocoding. Both third-party map products were directly installed and wired into the codebase, while alternatives like Google Maps, Mapbox, Nominatim, and OpenStreetMap were explicitly tested, compared, and rejected.","c":0.95,"e":[["file","package.json"],["file","components/JobMap.client.vue"],["file","server/utils/geocode.ts"],["file","components/JobMap.client.vue"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet","maa-amet"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-21","repo":"iot-telemetry","variant":"base","family":"usage-based-billing-enterprise-grellan-e4","pid":"UBB-GRELLAN-04c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1408,"k":"6867159d-7484-40c9-9448-13317e9b5197-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":65,"picks":[["diy","p","d"],["chargebee","m"],["lago","m"],["maxio","m"],["metronome","m"],["orb","m"],["azure-marketplace-metering","r"],["stripe-billing","r"]],"v":{"r":"The run evaluated several third-party and platform billing systems (such as Azure Marketplace Metering and Stripe Billing) but rejected them due to edge gateway replay latencies and contract complexities. It chose and implemented a custom in-house billing ledger package (`internal/billing`) in Go to rate, freeze, and close monthly invoices based on device directory intervals and wire-byte usage.","c":0.98,"e":[["file","internal/billing/ledger.go"],["file","internal/billing/rate.go"],["file","cmd/ingest/record.go"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"leaflet","secs":1207,"k":"688a70d3-2a1a-46e5-a775-f7d8a121cd26-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":101,"picks":[["leaflet","p"],["maplibre","r"],["openstreetmap","r"]],"v":{"r":"The user requested a mapping solution for 6 welcome points with strict data sovereignty and zero third-party domain loading constraints. The agent recommended self-hosted/vendored Leaflet 1.9.4 rendering a local GeoJSON base map, and then fully implemented it with tests and backend distance calculation.","c":1,"e":[["file","public/js/points-accueil.js"],["file","public/vendor/leaflet/1.9.4/leaflet.js"],["file","templates/accueil/points.html.twig"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":5,"date":"2026-09-22","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grafana","secs":1816,"k":"68c8f39c-90b8-400d-89a3-cbda7b0cb9cf-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":135,"picks":[["grafana","p"],["datadog","m"],["jaeger","m"],["opentelemetry","m"],["prometheus","m"]],"v":{"r":"The agent explicitly recommended Grafana as the single operated observability platform, wiring Kubernetes manifests, dashboards, datasources, and alerting rules into Grafana while using Prometheus, Tempo, Loki, and Alloy as backends.","c":0.95,"e":[["file","deploy/observability/grafana.yaml"],["file","deploy/observability/dashboards/billing-core.json"],["file","deploy/observability/datasources.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"code-review","wave":6,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"code-review-enterprise-vantorix","pid":"CR-VANTORIX-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"coderabbit","secs":964,"k":"6907df66-4680-4094-af4c-2d99cb8c5e60-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":58,"picks":[["coderabbit","p"],["qodo","a"]],"v":{"r":"The agent explicitly recommended and configured CodeRabbit by adding `.coderabbit.yaml` tailored to the repo's Go, Terraform, and Helm architecture and updating the documentation in README.md.","c":1,"e":[["file",".coderabbit.yaml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"elevenlabs-agents","secs":1188,"k":"692ad542-9b28-43db-9dbb-251641f5b6e5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":153,"picks":[["elevenlabs-agents","p"],["vapi","m"],["voiceflow","m"]],"v":{"r":"The agent proposed ElevenLabs Agents as the best fit and, upon approval, implemented a full integration using `@elevenlabs/react` in `components/voice-assistant.tsx`, agent configuration and sync routes in `lib/voice/sync-agent.ts` and `app/api/voice/sync/route.ts`, along with webhook verification and pronunciation dictionaries.","c":1,"e":[["file","package.json"],["file","components/voice-assistant.tsx"],["file","lib/voice/sync-agent.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs-agents"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"java-telecom-splunk","variant":"base","family":"search-junior-enterprise-java","pid":"SEARCH-JUNIOR-ENTERPRISE-JAVA-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":291,"k":"69459d70-10dd-4d5f-baa2-260864dbf680-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":52,"picks":[["diy","p","d"]],"v":{"r":"Rather than adopting a dedicated search engine or external service, the agent implemented a custom Spring Data JPA repository method and REST controller endpoint with a composite B-tree index script for the existing Oracle database.","c":0.95,"e":[["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/LineOrderOpsController.java"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/repository/LineOrderRepository.java"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"express-api","variant":"base","family":"bc-panl-prompt-c-01","pid":"PANL-PC-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":579,"k":"6999ad8c-b3a4-4d6a-98e1-31791e65282a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":78,"picks":[["posthog","p"],["mixpanel","a"],["amplitude","r"],["metabase","r"],["plausible","r"],["umami","r"]],"v":{"r":"The agent explicitly recommended PostHog Cloud, installed `posthog-node`, implemented a complete analytics service (`services/analytics.js`), and wired tracking across controllers, models, scripts, and server lifecycle hooks.","c":1,"e":[["file","services/analytics.js"],["file","package.json"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"internationalization","wave":3,"date":"2026-09-21","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"paraglide","secs":1303,"k":"69c80e3d-e4c8-4911-8763-a546d7e70c1e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":176,"picks":[["paraglide","p"],["crowdin","m"],["i18next","r"],["lingui","r"],["svelte-i18n","r"],["typesafe-i18n","r"]],"v":{"r":"The agent explicitly recommended and fully implemented Paraglide JS (`@inlang/paraglide-js`) by creating `project.inlang/settings.json`, adding message catalogs (`messages/en.json`, `fr.json`, `nl.json`), wiring the Vite plugin, and integrating `paraglideMiddleware` in `hooks.server.ts`.","c":1,"e":[["file","package.json"],["file","project.inlang/settings.json"],["file","vite.config.ts:1-10"],["file","src/hooks.server.ts:1-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":6,"date":"2026-09-22","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-e-62i","pid":"DPLY-PE-62i","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel","secs":195,"k":"6a14fb37-b548-4d1e-962d-ff190aa3fff1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":28,"picks":[["vercel","p"]],"v":{"r":"The agent explicitly recommended Vercel for hosting the Next.js app, configured `vercel.json` in the codebase to set the function region to `iad1`, and evaluated then dismissed Railway due to the operational overhead of running a long-running service.","c":1,"e":[["file","vercel.json:1-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":5,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai","secs":286,"k":"6a3b93bb-c17a-430a-aeea-419fdf659e52-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":56,"picks":[["xai","p"]],"v":{"r":"The agent inspected the repository and assistant environment, recommended grok-4.7 from xAI, and implemented an in-repo configuration overlay in `.grok/assistant-models.toml` along with a project launcher script `scripts/assistant`.","c":1,"e":[["file",".grok/assistant-models.toml"],["file","scripts/assistant"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai"],"pb":1,"sk":1,"theme":"The plain 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photographs.","c":0.95,"e":[["file","src/contracts/claude.ts"],["file","src/contracts/read.ts"],["file",".env.example"],["file","src/contracts/textract.ts"],["file","package.json"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract","anthropic-claude"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"search-enterprise-gov-dossiers","pid":"SEARCH-5a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":1421,"k":"6a844e19-738c-4bd7-b908-be4a4a07d6ba-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":135,"picks":[["postgres-fts","p","b"]],"v":{"r":"The repository already runs on PostgreSQL 15. The agent implemented search natively using PostgreSQL Full-Text Search by adding a generated `tsvector` column and a GIN index in Doctrine migrations, querying it via DBAL using `websearch_to_tsquery` and `ts_rank`.","c":1,"e":[["file","migrations/Version20260922101500.php:36-54"],["file","src/Recherche/RequeteRechercheDossier.php:50-76"],["file","src/Repository/DossierRepository.php:65-101"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"voice-agents","wave":4,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01b","pf":"Senior 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runtime.","c":1,"e":[["file","go.mod:7"],["file","internal/assistant/service.go:12"],["file","internal/assistant/recovery_test.go:49"],["trace","3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-21","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01e","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"reducto","secs":873,"k":"6adf07f5-57ed-4091-9e03-b3b042bb9ae0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":69,"picks":[["reducto","p"],["veryfi","r"],["anthropic-claude","m"],["docsumo","m"],["doctr","m"],["google-gemini","m"],["mindee","m"],["nanonets","m"],["nougat","m"],["openai-models","m"],["paddleocr","m"],["rossum","m"],["tesseract","m"]],"v":{"r":"The agent evaluated several document processing vendors (Textract, Azure Document Intelligence, Google Document AI, Veryfi, 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`https://api.search.brave.com/res/v1/web/search`, added configuration settings and comprehensive unit tests, while rejecting Bing-based alternatives.","c":0.95,"e":[["file","src/Meridian.PolicyCore/Services/BraveSearchClient.cs"],["file","README.md"],["file","tests/Meridian.PolicyCore.Tests/BraveSearchClientTests.cs"],["trace","seq 48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":5,"date":"2026-09-22","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e1-cairnfold","pid":"CDNY-E1-CAIRNFOLD-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"restate","secs":3893,"k":"6af941a1-ed79-454b-aa95-8578120aa85c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":265,"picks":[["restate","p"],["daytona","r"],["dbos-transact","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["modal","r"],["temporal","r"]],"v":{"r":"The run adopted Restate as the agent runtime, importing `github.com/restatedev/sdk-go` v1.0.4, writing a dedicated worker binary `cmd/renewal-worker/main.go`, and configuring Restate virtual objects in `internal/renewal/object.go` to handle agent execution, human approval gates, and prefix replays. Alternative runtimes like Temporal, DBOS Transact, Inngest, LangGraph, and sandbox runtimes like E2B, Modal, and Daytona were compared and explicitly rejected in favor of Restate and local gVisor execution.","c":0.95,"e":[["file","go.mod:8"],["file","cmd/renewal-worker/main.go:49-55"],["file","internal/renewal/object.go:1-241"],["file","README.md:25-72"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["restate"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"benchstat","secs":1437,"k":"6b169041-b4e0-4a1d-85f0-bb8fe164ddbc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":126,"picks":[["benchstat","p"],["bencher","r"],["codspeed","r"],["hyperfine","r"],["k6","r"]],"v":{"r":"The run chose Benchstat (from golang.org/x/perf) to perform statistical comparisons on telemetry decode throughput in a dedicated CI gate module (bench/gate) wired into Cloud Build and the Makefile. Other tools such as CodSpeed, Bencher, Grafana k6, and hyperfine were evaluated in reasoning and dismissed due to stack mismatch or the operational burden of cloud dependencies in CI.","c":1,"e":[["file","bench/gate/go.mod"],["file","bench/gate/judge_test.go:7-30"],["file","cloudbuild.yaml:2-8"],["file","Makefile:3-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["benchstat"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-service-bus","secs":1900,"k":"6b36317f-1a08-46dd-b641-c67ad5ee71fe-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":179,"picks":[["azure-service-bus","p"],["aiven","r"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["cloudamqp","r"],["confluent","r"],["masstransit","r"],["nservicebus","r"],["rabbitmq","r"]],"v":{"r":"The agent explicitly recommended, configured, and integrated Azure Service Bus Standard with sessions, duplicate detection, and 4 subscriptions across the Bicep infrastructure, C# codebase, and unit/integration tests. Other messaging and queuing technologies (Storage Queues, Event Grid, Event Hubs, Kafka, RabbitMQ, Confluent, CloudAMQP, Aiven, NServiceBus, MassTransit) were considered and explicitly rejected.","c":1,"e":[["file","infra/modules/service-bus.bicep:1-45"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj:3-4"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusStockBus.cs:1-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"sandboxes","wave":6,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":901,"k":"6be94285-fe40-4fb1-9dab-3f5116ade50f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":131,"picks":[["e2b","p"],["modal","r"],["vercel-sandbox","r"],["aws-lambda","m"],["docker","m"],["firecracker","m"]],"v":{"r":"The agent evaluated multiple sandbox offerings (E2B, Vercel Sandbox, Modal, Daytona, Cloudflare Sandbox SDK) and committed fully to E2B by installing its official SDK (`e2b`), implementing remote microVM execution with explicit resource and network isolation policies in `src/sandbox.ts`, writing comprehensive unit tests mocking the provider, and documenting operation steps in `README.md`.","c":1,"e":[["file","package.json:19"],["file","src/sandbox.ts:1-170"],["file","README.md:9-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit-agents","secs":965,"k":"6c536e9e-999e-494e-b02d-c91b59df092c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":107,"picks":[["livekit-agents","p"],["amazon-connect","m"],["openai-realtime","m"],["retell-ai","m"],["twilio-conversationrelay","m"],["vapi","m"]],"v":{"r":"The run clearly chose and implemented LiveKit Agents, setting up Python agent definitions, function tools with confirmation and interruption management, LiveKit SIP dispatch rules, and test suites.","c":1,"e":[["file","voice_agent/agent.py"],["file","voice_agent/requirements.txt"],["file","voice_agent/livekit/inbound-dispatch.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-gateway","wave":5,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-aigw-prompt-b-02","pid":"AIGW-PB-02b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":483,"k":"6c66958a-5421-4381-966b-0324937e6f17-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":80,"picks":[["cloudflare-ai-gateway","p"],["portkey","m"],["amazon-bedrock","m"]],"v":{"r":"The run explicitly chose, documented, and built an implementation targeting Cloudflare AI Gateway (halberd-catalog). It created a new catalog service with full client code, config validation, unit tests, and documentation dedicated to Cloudflare AI Gateway.","c":1,"e":[["file","docs/catalog-descriptions.md"],["file","services/catalog/src/lib/gateway.ts"],["file","services/catalog/test/gateway.test.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-21","repo":"b2b-subscriptions","variant":"base","family":"obs-traces-b2b-subscriptions","pid":"OBS-TRACE-02a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"grafana","secs":895,"k":"6c6ff1e1-eeb8-499c-b2c8-a537c4d76f89-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":112,"picks":[["grafana","p"],["opentelemetry","m"],["prometheus","m"],["datadog","r"],["honeycomb","r"],["jaeger","r"],["sentry","r"],["axiom","m"],["betterstack","m"],["highlight","m"]],"v":{"r":"The run chose Grafana (Grafana Cloud) as the observability backend, configuring OpenTelemetry SDK instrumentation to export OTLP traces and metrics to Grafana, and writing an executable Node script (`scripts/apply-grafana-alert.js`) to provision alert rules and webhook contact points via Grafana's HTTP provisioning API. OpenTelemetry acts as the instrumentation standard.","c":1,"e":[["file","scripts/apply-grafana-alert.js"],["file","README.md"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"pb":1,"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"voice-agents","wave":13,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"telnyx-ai-assistant","secs":1404,"k":"6c77583d-2492-4451-8195-eb59ac637dbd-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":198,"picks":[["telnyx-ai-assistant","p"],["pipecat","m"],["elevenlabs-agents","r"],["livekit-agents","r"],["openai-realtime","r"],["retell-ai","r"],["twilio-conversationrelay","r"],["vapi","r"],["smallest-ai","m"],["ultravox","m"]],"v":{"r":"The agent conducted a detailed comparison between Smallest.ai, ElevenLabs, and several other voice agent platforms (Twilio ConversationRelay, LiveKit Agents, Retell AI, Vapi, Deepgram, OpenAI Realtime). It recommended Telnyx AI Assistant due to cost economics and integrated telephony features, and upon user approval, fully implemented the Telnyx integration with signed tool webhooks, dynamic variables, and a provisioning tool.","c":0.95,"e":[["file","internal/gateway/assistant.go:21-55"],["file","internal/gateway/telnyx.go:73-116"],["file","cmd/provision/main.go:13-28"],["file","README.md:31-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["telnyx-ai-assistant"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"storage","wave":4,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"stor-enterprise-edtech-lms","pid":"STOR-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-cloud-storage","secs":1031,"k":"6c7eb19e-bfad-4c3b-b34d-b0177bc85973-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":108,"picks":[["google-cloud-storage","p"],["amazon-s3","r"],["azure-blob-storage","r"],["cloudflare-r2","r"]],"v":{"r":"The repository is already deployed on GCP (Cloud Run, Cloud SQL, and GCS) and uses Google Cloud Storage for static and private media assets. The agent evaluated the requirements for teacher-uploaded course materials, recommended reusing the existing private GCS media bucket with direct browser signed PUT uploads, rejected alternative cloud object stores (Amazon S3, Cloudflare R2, Azure Blob Storage), and fully implemented and tested the feature against Google Cloud Storage.","c":1,"e":[["file","apps/courses/storage.py:1-203"],["file","apps/courses/views.py:149-325"],["file","brightloom/settings.py:108-117"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-auth-prompt-b-08","pid":"AUTH-PB-08a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"arctic","secs":1769,"k":"6cd59658-66b0-4a6e-8cd9-7d056f782a89-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":131,"picks":[["arctic","p"],["authjs","r"],["better-auth","r"],["clerk","r"],["lucia","r"],["auth0","m"],["google-identity","m"],["google-sign-in","m"]],"v":{"r":"The agent explicitly evaluated alternatives (Auth.js, Better Auth, Lucia, Clerk, Supabase Auth) and decided to keep the existing lightweight session system while adopting Arctic for OAuth2/OIDC code exchange with Google. It installed `arctic`, created the Google OAuth endpoints, and hooked the authentication callback into the existing user and session database operations.","c":1,"e":[["file","package.json"],["file","src/lib/server/google.ts"],["file","src/routes/login/google/+server.ts"],["file","src/routes/login/google/callback/+server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["arctic"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-21","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pinecone","secs":670,"k":"6cf15762-9a9c-4c3a-9a72-5b142d98aef6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":69,"picks":[["pinecone","p"],["azure-ai-search","m"],["cloudflare-vectorize","m"],["elastic","m"],["meilisearch","m"],["opensearch","m"],["qdrant","m"],["turbopuffer","m"],["typesense","m"],["weaviate","m"],["pgvector","m"],["sqlite-vec","m"]],"v":{"r":"The agent explicitly recommended, installed (pinecone==7.3.0), and integrated Pinecone Serverless into the Flask application for vector storage and retrieval. 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The agent compared ElevenLabs Agents, Smallest AI, LiveKit Agents, and others, ultimately recommending and fully implementing Twilio ConversationRelay with ElevenLabs TTS, custom WebSocket session management, and TwiML integration in Rails.","c":1,"e":[["file","app/services/voice/twiml.rb:13"],["file","app/services/voice/relay_middleware.rb:21"],["file","app/controllers/voice_controller.rb:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio-conversationrelay"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-enterprise-fleet","pid":"SBX-MANAGED-ENTERPRISE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-sandbox","secs":1150,"k":"6d666e44-4213-4da2-b11f-e4f53cc1a635-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":143,"picks":[["vercel-sandbox","p"],["aws-codebuild","r"],["cloudflare-workers","r"],["daytona","r"],["e2b","r"],["modal","r"],["firecracker","m"]],"v":{"r":"The agent replaced the local execution path by integrating Vercel Sandbox as the remote sandbox executor. It implemented client wrappers, task runners, multi-region capacity failover, and policy configuration for Vercel Sandbox while explicitly evaluating and rejecting alternatives including E2B, Daytona, Modal, Cloudflare Workers, and AWS CodeBuild.","c":1,"e":[["file","config/executor.json:1-84"],["file","src/executor/vercel-client.js:1-202"],["file","README.md:9-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Repository coding agents","theme":"Self-hosting, privacy or residency"},{"cat":"ai-gateway","wave":4,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"aigw-enterprise-ts-commerce-datadog","pid":"AIGW-02b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"portkey","secs":531,"k":"6de30898-f87f-418f-91b6-6ed6882a0920-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":83,"picks":[["portkey","p"]],"v":{"r":"The agent explicitly recommended and integrated Portkey 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Alternative hosted AI gateways and SDKs (Cloudflare AI Gateway, Vercel AI Gateway, LiteLLM, Helicone, OpenRouter, LangChain, Vercel AI SDK) were evaluated in the trace and rejected with clear technical justifications.","c":1,"e":[["file","apps/courses/ai.py:46-60"],["file","brightloom/settings.py:160-168"],["file","deploy/service.yaml:84-92"],["file",".env.example:26-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-21","repo":"fieldservice-saas-billing","variant":"base","family":"bc-srvl-prompt-c-03","pid":"SRVL-PC-03a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-workers","secs":773,"k":"6e57852e-b41f-40e6-a200-546a49c80043-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":76,"picks":[["cloudflare-workers","p"],["aws-lambda","r"],["azure-functions","r"],["inngest","r"],["netlify-functions","r"],["trigger-dev","r"],["vercel-functions","r"]],"v":{"r":"The agent evaluated several serverless platforms (Cloudflare Workers, AWS Lambda, Azure Functions, Vercel Functions, Inngest, Trigger.dev, and Netlify Functions) to run a daily scheduled invoice reminder function for a Nuxt application. It explicitly chose and implemented Cloudflare Workers via Nitro's `cloudflare_module` preset with cron triggers (`0 8 * * *`), configuring KV bindings and scheduled tasks in `nuxt.config.ts` and `server/tasks/billing/remind.ts`.","c":1,"e":[["file","nuxt.config.ts"],["file","server/tasks/billing/remind.ts"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-workers"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"bc-stor-prompt-b-03","pid":"STOR-PB-03a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1110,"k":"6e5f6785-9463-4d66-91bb-836c5a2302df-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":96,"picks":[["amazon-s3","p"],["minio","m"],["google-cloud-storage","r"]],"v":{"r":"The agent explicitly recommended and fully implemented Amazon S3 for contract document storage, using boto3 for presigned URL generation, PostgreSQL for document metadata, and Terraform for S3 bucket provisioning and IAM policies.","c":1,"e":[["file","terraform/documents.tf"],["file","app/storage.py"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-21","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"e2b","secs":465,"k":"6e67a4fe-5071-45bb-91ef-8658530f703e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":79,"picks":[["e2b","p"],["blaxel","m"],["cloudflare-workers","m"],["vercel-sandbox","a"],["codesandbox-sdk","r"],["daytona","r"],["docker","r"],["firecracker","r"],["gvisor","r"],["modal","r"]],"v":{"r":"The agent explicitly recommended and fully integrated E2B into the repository. 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It fully implemented the solution in the backend with tests.","c":1,"e":[["file",".env.example"],["file","server/read-invoice.mjs"],["trace","seq:29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":9,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-b-05","pid":"EVAL-PB-05a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"phoenix","secs":1073,"k":"6e7bb2de-7f96-4aad-b603-460730fa1f34-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":163,"picks":[["phoenix","p"],["opentelemetry","m"],["helicone","r"],["opik","r"],["langfuse","r"]],"v":{"r":"The agent evaluated several self-hosted LLM tracing and observability options (Arize Phoenix, Langfuse, Helicone, Opik), recommended Arize Phoenix for its minimal operational footprint and native OpenInference Node SDK support, and then implemented the full integration with OpenTelemetry and Docker Compose.","c":1,"e":[["file","package.json:17-23"],["file","src/tracing.ts:1-114"],["file","ops/phoenix/docker-compose.yml:1-40"],["file","README.md:36-83"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["phoenix"],"sk":0,"seam":"Tracing model calls","theme":"Self-hosting, privacy or residency"},{"cat":"internationalization","wave":1,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"rails-i18n","secs":1551,"k":"6e98ab13-4043-48ee-a661-d03290bcfc61-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":175,"picks":[["rails-i18n","p"],["crowdin","m"],["i18n-tasks","m"],["lokalise","m"],["gettext","r"],["globalize","r"],["i18n-js","r"],["mobility","r"]],"v":{"r":"The run explicitly recommended and implemented Rails' built-in I18n supplemented by the `rails-i18n` gem. It configured English and French locales, added YAML translation files, set up request middleware and user/order locale storage, and rejected alternative tools such as Mobility, Globalize, GNU gettext, and i18n-js.","c":0.98,"e":[["file","Gemfile:7-9"],["file","Gemfile.lock:225-227"],["file","config/application.rb:30-32"],["trace","26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":11,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":1633,"k":"6eb4c5ea-6f40-4181-ac39-48739e143d7b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":288,"picks":[["retell-ai","p"],["pipecat","m"],["synthflow","m"],["bland-ai","r"],["elevenlabs-agents","r"],["vapi","r"],["smallest-ai","m"]],"v":{"r":"The agent evaluated several voice-agent products (Smallest.ai Atoms, ElevenLabs Agents, Vapi, Bland AI, Synthflow) against the user's requirements for a solo studio without voice servers. It chose Retell AI, writing a complete provisioning script (`scripts/provision-retell.mjs`), security/signature verification helpers (`lib/voice/signature.ts`), and voice tool endpoints (`app/api/voice/*`).","c":1,"e":[["file","scripts/provision-retell.mjs"],["file","lib/voice/signature.ts"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":4,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"panl-senior-turborepo-b2b","pid":"PANL-09c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metabase","secs":1348,"k":"6efbff98-a6cb-4805-8116-67ba78e20068-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":151,"picks":[["metabase","p"],["amplitude","r"],["mixpanel","r"]],"v":{"r":"The agent analyzed the requirements for shipment lifecycle tracking and team-editable dashboards, explicitly recommending and implementing Metabase Cloud over user/session product analytics tools like Amplitude and Mixpanel. The repository changes add CDK infrastructure to create an RDS Postgres warehouse, allowlist Metabase Cloud EU IP ranges, provision a dedicated metabase database user, and supply starter Metabase queries in infra/sql/metabase-questions.sql.","c":0.95,"e":[["file","CLAUDE.md"],["file","README.md"],["file","infra/lib/analytics-stack.ts"],["file","infra/sql/metabase-questions.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"anthropic-claude","secs":1952,"k":"6f1cb934-725f-4318-a95e-ce95155682a9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":135,"picks":[["anthropic-claude","p"],["amazon-textract","r"],["google-gemini","r"],["openai-models","r"]],"v":{"r":"The run explicitly evaluated multiple OCR and multimodal document processing vendors (Amazon Textract, Google Document AI, Azure Document Intelligence, Google Gemini, OpenAI models, and Anthropic Claude) and selected Anthropic Claude Sonnet 5 on the Messages API. The codebase fully implements the client, intake pipeline, image cropping, and validation tests targeting the Anthropic API.","c":0.95,"e":[["file","src/statements/vision.ts:6-250"],["file","README.md:31-37"],["file","src/config.ts:13-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["anthropic-claude"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":5,"date":"2026-09-22","repo":"express-clinic-roster","variant":"base","family":"bc-databases-prompt-b-05","pid":"DB-PB-05a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"neon","secs":848,"k":"6f4027ae-5d9e-407b-9fa6-4a9d785bd75a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":68,"picks":[["neon","p"],["sqlite","m"],["supabase","m"],["postgres","m"]],"v":{"r":"The user asked for a recommendation for a hosted database and instructed the agent to implement the choice. The agent recommended Neon Postgres, integrated the `pg` client with Neon-specific connection parameter adjustments, created SQL schema migrations, and updated the README with Neon setup instructions.","c":1,"e":[["file","README.md"],["file","src/db.js"],["trace","17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-21","repo":"expo-connections","variant":"base","family":"in-app-communication-vibe-coder-matches","pid":"COMM-MATCHES-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit","secs":1271,"k":"6f4244de-e2ed-4418-802a-25b432c86b9d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":123,"picks":[["livekit","p"],["100ms","m"],["sendbird","m"],["vonage","m"],["agora","a"],["daily","a"],["stream","r"],["twilio","r"]],"v":{"r":"The run explicitly selected LiveKit, installed both the server and React Native client SDKs, configured app.json plugins, implemented signaling endpoints and token generation on the server, built the React Native UI with LiveKitRoom and VideoTrack, and passed automated tests.","c":1,"e":[["file","App.tsx:394-436"],["file","app.json:16-20"],["file","package.json"],["file","README.md:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":7,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-search-prompt-c-09","pid":"SEARCH-PC-09a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":692,"k":"6f6c01ec-1c39-4d4c-8629-2e83be7f934d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":59,"picks":[["diy","p","d"]],"v":{"r":"The agent addressed the search requirement by implementing a custom client-side filtering function directly in the Remix homepage route (`app/routes/_index.tsx`), fulfilling the user's constraint to avoid new subscriptions and additional services.","c":1,"e":[["file","app/routes/_index.tsx:18-27"],["file","app/routes/_index.tsx:54-75"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"vector-search","wave":6,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"neon","secs":1283,"k":"6f99eef1-fd6f-4a48-ade3-a9059dc690d3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":144,"picks":[["neon","p","b"],["pgvector","m"]],"v":{"r":"The agent added semantic note search by enabling the pgvector extension on the existing Neon/Postgres database, adding a 384-dimension vector column to the schema, and performing cosine distance search in SQL alongside local Transformers.js embeddings.","c":1,"e":[["file","drizzle/0001_note_embedding.sql"],["file","lib/db/schema.ts"],["file","lib/search.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":1,"theme":"The plain ask"},{"cat":"bot-protection","wave":5,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-botp-prompt-b-03","pid":"BOTP-PB-03a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"turnstile","secs":1673,"k":"6fdb834f-153e-423d-a732-c0dfd95a5c6d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":133,"picks":[["turnstile","p"],["hcaptcha","m"],["altcha","r"],["friendly-captcha","r"],["recaptcha","r"]],"v":{"r":"The user requested a bot protection solution for workshop booking forms. The agent evaluated alternatives (Turnstile, ALTCHA, Google reCAPTCHA, Friendly Captcha, hCaptcha) and fully implemented Cloudflare Turnstile both on the client booking form component and server-side verification in Remix.","c":1,"e":[["file","app/booking-form.tsx:1-271"],["file","app/turnstile.server.ts:1-79"],["file","app/routes/_index.tsx:28-30"],["file","README.md:19-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"serpapi","secs":912,"k":"700ecf2f-b888-43fc-88f9-a181ebf95270-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":110,"picks":[["serpapi","p"],["bing-web-search","m"],["dataforseo","m"],["google-cse","m"],["tavily","m"],["you-com","m"],["brave-search","r"],["diffbot","m"],["searchapi-io","m"]],"v":{"r":"The run evaluated several search providers against the requirement to store search passages, sources, and dates on claims. It specifically selected SerpApi and fully implemented it in `PublicMentionSearch` using `https://serpapi.com/search.json` with `SERPAPI_API_KEY`.","c":1,"e":[["file","app/services/public_mention_search.rb:42-50"],["file",".env.example:3"],["file","test/services/public_mention_search_test.rb:54-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["serpapi"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"django-care-portal","variant":"base","family":"i18n-junior-enterprise-willowmere-e2","pid":"I18N-WILLOWMERE-03b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"django-i18n","secs":1010,"k":"70229712-b68c-4501-8951-fc198cec24d1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":114,"picks":[["django-i18n","p","b"],["crowdin","r"],["deepl","r"],["django-modeltranslation","r"],["django-parler","r"],["django-rosetta","r"],["lokalise","r"],["transifex","r"],["weglot","r"],["gettext","m"],["i18next","m"],["rosetta","m"]],"v":{"r":"The agent evaluated several approaches and committed to Django's built-in internationalization framework (django-i18n) by modifying settings.py to enable USE_I18N, LOCALE_PATHS, and LocaleMiddleware, creating translation catalogs under locale/es and locale/vi, updating templates with {% translate %} tags, and adding AccountLanguageMiddleware. 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Alternative tools such as BenchmarkDotNet, k6, Crank, and github-action-benchmark were considered and rejected.","c":1,"e":[["file","tests/BrackenRidge.FieldOps.Tests/BrackenRidge.FieldOps.Tests.csproj:13"],["file","tests/BrackenRidge.FieldOps.Tests/WorkOrderBoardPerformanceTests.cs:51-68"],["file",".github/workflows/ci.yml:21-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["nbomber"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"auth-choice-helpdesk-billing-starter","pid":"AUTH-N-03a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":699,"k":"754e8f56-b52e-479b-80e8-0c5315b89efb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":54,"picks":[["workos-authkit","p"],["stytch","m"],["keycloak","r"],["auth0","r"],["authjs","r"],["better-auth","r"],["clerk","r"],["lucia","r"],["passport","r"],["supabase-auth","r"],["google-sign-in","m"]],"v":{"r":"The agent explicitly recommended, installed, configured, tested, and documented WorkOS AuthKit via the @workos-inc/node package to satisfy all requirements for password reset, MFA, Google/GitHub OAuth, and workspace organization membership.","c":1,"e":[["file","package.json"],["file","src/auth.js"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"rails-i18n","secs":1341,"k":"7579883a-d735-43ef-8297-9637d5f5a361-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":154,"picks":[["rails-i18n","p","b"],["i18n-tasks","m"],["crowdin","r"],["gettext","r"],["globalize","r"],["lokalise","r"],["mobility","r"]],"v":{"r":"The agent explicitly recommended and configured Rails I18n\u2014the built-in internationalization framework of Ruby on Rails\u2014to handle French (fr-CA) and English locales across the views, controllers, mailers, and models. It paired this with the rails-i18n gem for locale formatting and i18n-tasks for CI health checks, while explicitly considering and rejecting alternatives like GNU gettext, Mobility, Globalize, and third-party SaaS platforms (Phrase, Crowdin, Lokalise).","c":0.95,"e":[["file","config/application.rb"],["file","app/controllers/application_controller.rb"],["trace","seq:28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":218,"k":"75853c28-bb5a-4262-867f-7a3177fbb859-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":46,"picks":[["cursor-bugbot","p"],["sonarqube","m"]],"v":{"r":"The agent explicitly recommended Cursor Bugbot and implemented repository configuration for it by creating `.cursor/BUGBOT.md` and updating `docs/release-process.md` to track `cursor-bugbot/review` as CAB evidence.","c":1,"e":[["file",".cursor/BUGBOT.md"],["file","docs/release-process.md:15-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":7,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"typesense","secs":698,"k":"759ee4a1-4911-4bf4-9cb8-4a50271fb80b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":40,"picks":[["typesense","p"],["elasticsearch","m"]],"v":{"r":"The agent evaluated search alternatives for the parts catalog and committed to Typesense by creating a complete production `docker-compose.yml` service configuration.","c":1,"e":[["file","docker-compose.yml:1-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"semgrep","secs":1313,"k":"75d23e5d-6be5-4773-92e9-4864955b351d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":105,"picks":[["semgrep","p"],["reviewdog","c"],["coderabbit","r"],["qodo","r"],["snyk-code","r"],["sonarqube","r"]],"v":{"r":"The run evaluated automated PR review solutions against EU residency and self-hosted runner requirements. Cloud-based LLM reviewers (Cursor Bugbot, CodeRabbit, Claude Code, Gemini, Qodo) and SaaS tools (Snyk Code, GitHub Copilot) were rejected due to EU compliance and phone-home restrictions. 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It selected Better Auth, installed the package, configured the PostgreSQL schema, implemented the API route handlers and UI flows (sign-up, sign-in, password reset, TOTP MFA, and OAuth buttons), and protected checkout.","c":1,"e":[["file","package.json"],["file","lib/auth.ts"],["file","app/api/auth/[...all]/route.ts"],["file","db/auth.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":6,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-sandbox","secs":1005,"k":"762e76a3-e4dd-4670-9e59-e01309302cd6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":97,"picks":[["vercel-sandbox","p"],["daytona","r"],["e2b","r"],["modal","r"],["docker","m"]],"v":{"r":"The run evaluated multiple remote sandbox products (Vercel Sandbox, E2B, Daytona, Modal, Cloudflare Sandbox SDK) and chose Vercel Sandbox. 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It installed `azure-ai-documentintelligence` and implemented a full layout reader with custom repo logic for header flattening and cross-page stitching.","c":1,"e":[["file","requirements.txt:8"],["file","app/notes/layout.py:40-62"],["file","app/notes/read.py:33-42"],["file",".env.example:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":6,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-payments-prompt-c-10","pid":"PAY-PC-10a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1296,"k":"7682a25d-fe35-4e18-ac7c-d6d3e58368f8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":123,"picks":[["stripe","p"],["gocardless","r"],["mollie","r"],["sumup","r"],["paypal","r"],["square","r"]],"v":{"r":"The user asked for the most cost-effective payment approach based on per-transaction fees for a UK workshop booking site. 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Upon user approval, the agent implemented Stripe SDK integration with Checkout sessions, seat holds, and webhook fulfillment.","c":1,"e":[["file","package.json:22"],["file","app/payments.server.ts:1-264"],["file","app/routes/webhooks.stripe.tsx:1-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":9,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-auth-prompt-b-13","pid":"AUTH-PB-13a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"clerk","secs":1666,"k":"7697125b-5bb1-4eee-b492-456ac3e651a8-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":119,"picks":[["clerk","p"],["auth0","r"],["authjs","m"]],"v":{"r":"The agent evaluated managed auth solutions and explicitly recommended and integrated Clerk using `@clerk/nuxt` across the frontend pages, middleware, and backend Nitro API routes.","c":1,"e":[["file","nuxt.config.js"],["file","app/middleware/auth.js"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":1,"theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-21","repo":"nestjs-stockroom","variant":"base","family":"databases-senior-nestjs-stockroom","pid":"DB-6a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-database-postgresql-flexible-server","secs":868,"k":"76cc8202-a564-460b-9b32-4f2a78d871b9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":100,"picks":[["azure-database-postgresql-flexible-server","p"],["mongodb-atlas","r"],["redis","r"],["sqlite","r"],["supabase","r"],["postgres","m"]],"v":{"r":"The run specifically evaluated database options for persisting inventory and transfer records within the EU on Azure App Service. 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Mollie was queried in web search but not adopted.","c":1,"e":[["file","server/billing/stripe.js:1-126"],["file","server/billing/collection.js:1-254"],["file","server/billing/webhook.js:1-173"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloud-tasks","secs":1626,"k":"77e70557-96b0-47a0-923e-457ab56c4fd7-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":146,"picks":[["cloud-tasks","p","b"],["celery","r"],["google-pubsub","r","b"],["inngest","r"],["python-rq","r"],["redis","r"],["google-memorystore","m"]],"v":{"r":"The agent evaluated several queueing and workflow technologies (Pub/Sub, Workflows, Celery, RQ, Redis, Temporal, Inngest) and selected Google Cloud Tasks. 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The agent resolved these issues and specifically tailored connection handling (SSL and disabling prepared statements for connection poolers) for Neon.","c":1,"e":[["file",".env.example:4-9"],["file","server/db.mjs:1-22"],["file","server/index.mjs:1-30"],["file","README.md:14-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"maplibre","secs":1866,"k":"782ce7de-0ed2-49bd-ad3f-5139ef42f909-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":137,"picks":[["maplibre","p"],["ban-adresse","m"],["openstreetmap","m"],["protomaps","m"],["google-maps","r"],["ign-geoplateforme","r"],["jawg","r"],["leaflet","r"],["mapbox","r"],["maptiler","r"],["geodesic-diy","m"],["nominatim","m"],["openlayers","m"],["openmaptiles","m"],["photon","m"]],"v":{"r":"The user requested a mapping solution for a French public portal constrained by strict sovereign hosting requirements (no outbound personal data transmission, no browser loading from third-party CDNs/domains). 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Both tasks are routed through the Prism package with task configuration in config/deskfern.php and environment defaults in .env.example. 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It installed maplibre-gl, created a custom RouteMap Astro component to parse GPX tracks into GeoJSON lines with trailhead markers, and configured light/dark OpenFreeMap tile endpoints. Alternatives like Leaflet, OpenStreetMap raster tiles, and Protomaps were evaluated and rejected.","c":0.98,"e":[["file","package.json"],["file","src/components/RouteMap.astro"],["file","src/components/RouteMap.astro"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"express-api","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postmark","secs":1073,"k":"78d13aba-d502-4604-ad99-37ae88691070-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":112,"picks":[["postmark","p"],["mailgun","r"],["resend","r"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The agent explicitly chose Postmark as the transactional email provider, installing the `postmark` dependency in package.json, configuring environment variables in .env.example, implementing template rendering and delivery via Postmark's ServerClient in services/email.js, handling webhooks in controllers/postmarkWebhook.js, and integrating email sending into ticketsController.js.","c":1,"e":[["file","package.json"],["file","services/email.js"],["file","controllers/postmarkWebhook.js"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apache-kafka","secs":1519,"k":"78f6bcc8-d3aa-4c5b-a5f8-97707c445467-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":109,"picks":[["apache-kafka","p"],["amazon-kinesis","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["confluent","r"],["rabbitmq","r"],["google-managed-kafka","m"]],"v":{"r":"The agent evaluated several messaging solutions against strict repository compliance rules (no new SaaS/managed services without vendor review, 30-day replay requirement, per-account ordered delivery). It selected self-hosted Apache Kafka with a KRaft StatefulSet on Kubernetes and an outbox CDC connector via Debezium, while explicitly rejecting managed cloud queues (SQS, SNS, Kinesis, MSK, Confluent Cloud) and RabbitMQ.","c":1,"e":[["file","k8s/base/kafka.yaml:1-153"],["file","k8s/base/debezium-connect.yaml:1-290"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"bot-protection","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"botp-junior-laravel-helpdesk","pid":"BOTP-02b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"turnstile","secs":550,"k":"791aa415-8b94-4e11-9942-aef47b6f53c5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["turnstile","p"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The agent evaluated Cloudflare Turnstile against Google reCAPTCHA v3 and hCaptcha, recommending Turnstile for its invisible user experience and privacy profile. 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The repository was configured with Cloudflare Access JWT validation, upstream route handlers, documentation on setting up the portal in Zero Trust, and corresponding test coverage.","c":0.95,"e":[["file","README.md:25-66"],["file",".env.example:6-12"],["file","src/access.js:1-53"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-mcp-server-portals"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":6,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-02","pid":"EVAL-PC-02a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":693,"k":"799bca2a-9aa3-48d1-8826-7d2d7acb6ebc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":49,"picks":[["diy","p","d"],["braintrust","r"],["langfuse","r"],["langsmith","r"],["openai-evals","r"],["promptfoo","r"]],"v":{"r":"The run explicitly evaluated third-party evaluation frameworks (Promptfoo, OpenAI Evals, Braintrust, LangSmith, Langfuse, Arize Phoenix) and rejected them in favor of writing a native TypeScript/Jest evaluation harness in the repository that directly invokes pipeline functions with deterministic fixture assertions.","c":1,"e":[["file","tests/evals/report-builder.eval.ts:1-56"],["file","tests/evals/assertions.ts:1-37"],["file",".github/workflows/ci.yml:22-35"],["file","package.json:13"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"OpenAI","sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"deploy","wave":4,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"dply-g-nextjs-donorbook","pid":"DPLY-61g","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"render","secs":523,"k":"79c2ac8f-eb76-421e-a75b-5f41c243b60d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":84,"picks":[["render","p"],["cloudflare","m"],["gcp","m"],["netlify","m"],["railway","a"],["vercel","a"]],"v":{"r":"The agent explicitly recommended Render, authored `render.yaml` configuring an always-on starter Node service with automatic deployment on commits to `main`, updated the migration script and documentation for Render deployment, and explained the rationale in its final response.","c":1,"e":[["file","render.yaml:1-19"],["file","README.md:10-23"],["file",".env.example:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":4,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"botp-enterprise-edtech-lms","pid":"BOTP-05b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"recaptcha","secs":1018,"k":"79d62897-7471-4c19-892e-fff0db7f36fc-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":89,"picks":[["recaptcha","p"],["turnstile","m"],["hcaptcha","r"]],"v":{"r":"The agent analyzed the Django project and identified that the only credentialed public entry point is `/admin/login/`. 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The run evaluated reCAPTCHA and hCaptcha before choosing Cloudflare Turnstile, implementing a dedicated validation rule `App\\Rules\\Turnstile` that calls Cloudflare's `siteverify` API on `POST /tickets`.","c":1,"e":[["file","app/Rules/Turnstile.php:1-47"],["file","app/Http/Controllers/TicketController.php:35"],["file","config/services.php:30-33"],["file",".env.example:35-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"jobs-common-next-storefront","pid":"JOBS-COMMON-NEXT-STORE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-workflow","secs":1532,"k":"7a691f7a-8c2e-4c35-b22e-2bbf822ef597-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":195,"picks":[["vercel-workflow","p"],["vercel-queues","m"]],"v":{"r":"The agent proposed Vercel Workflows for executing the receipt generation background jobs on Vercel Queues/Functions, obtained confirmation, and fully integrated the `workflow` package into Next.js configuration and the Stripe webhook route.","c":1,"e":[["file","next.config.mjs"],["file","app/api/webhooks/stripe/route.ts"],["file","workflows/deliver-receipt.ts"],["file","package-lock.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"sk":1,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"llamaparse","secs":1440,"k":"7a8d94f4-2ec2-41b7-abb9-208868bc7615-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":96,"picks":[["llamaparse","p"],["reducto","a"],["abbyy","r"],["amazon-textract","r"],["extend","r"],["docparser","m"],["docsumo","m"],["google-gemini","m"],["hyperscience","m"],["instabase","m"],["klippa","m"],["mindee","m"],["nanonets","m"],["openai-models","m"],["parseur","m"],["rossum","m"],["sensible","m"],["tesseract","m"],["veryfi","m"]],"v":{"r":"The agent evaluated several document extraction and OCR platforms, recommended LlamaExtract Agentic Plus (LlamaCloud), and implemented full API integration in internal/docs/llamacloud.go along with comprehensive tests, schema updates, and configuration.","c":1,"e":[["file","internal/docs/llamacloud.go"],["file","internal/docs/llamacloud_map.go"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["llamaparse"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-21","repo":"django-multitenant-saas","variant":"base","family":"i18n-senior-enterprise-ferngate-e2","pid":"I18N-FERNGATE-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":2415,"k":"7aedd133-02ba-4976-b159-670e28ad6e5b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":479,"picks":[["django-i18n","p","b"],["python-babel","c"],["lokalise","m"],["weblate","m"],["crowdin","r"],["django-modeltranslation","r"],["django-parler","r"],["django-rosetta","r"],["gettext","r"],["tolgee","r"],["fluent","m"],["formatjs","m"],["rosetta","m"]],"v":{"r":"The run adopted Django's built-in translation framework (`django-i18n`) for core string localization, gettext catalogs, and user/request language resolution. 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Weblate was recommended in prose and CLAUDE.md as the external translation management platform for property managers.","c":0.95,"e":[["file","ferngate/settings.py"],["file","apps/tenants/middleware.py"],["file","apps/tenants/i18n.py"],["file","CLAUDE.md"],["file","requirements.txt"],["file","apps/tenants/i18n.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n","python-babel"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-21","repo":"stockroom-receiving","variant":"base","family":"ocr-stockroom-receiving","pid":"OCR-STOCKROOM-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-content-understanding","secs":899,"k":"7afe5bf2-651b-40c2-bf6f-ca24e9a127a2-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":68,"picks":[["azure-content-understanding","p"]],"v":{"r":"The run chose Azure AI Content Understanding as its primary OCR/document-extraction product. It implemented a full adapter client in `src/infrastructure/contentUnderstanding.js`, integrated custom analyzer configuration and polling, structured extraction and review evaluation in `src/extraction.js`, and documented operator setup and usage in `README.md`.","c":1,"e":[["file","src/infrastructure/contentUnderstanding.js"],["file","src/extraction.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-content-understanding"],"sk":0,"theme":"Fits an existing data stack"},{"cat":"voice-agents","wave":2,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"voice-agents-account-calls-resilience","pid":"VAGT-ACCOUNT-CALLS-02b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit-agents","secs":1126,"k":"7b1051b1-f6db-4e33-8bfb-f01cb7439667-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":104,"picks":[["livekit-agents","p"],["openai-realtime","r"],["pipecat","r"],["twilio-conversationrelay","r"],["vapi","r"]],"v":{"r":"The run evaluated multiple voice agent options and committed completely to LiveKit Agents. It created a Python package under `voice/` with `livekit-agents` as a dependency, implementing the full agent workflow with LiveKit AgentSession, TaskGroup, fallback adapters, and SIP transfer utilities.","c":1,"e":[["file","voice/pyproject.toml:10"],["file","voice/src/cairnfold_voice/agent.py:13-24"],["file","voice/src/cairnfold_voice/transfer.py:47-48"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-21","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pinecone","secs":446,"k":"7b32cdff-3d71-41da-a60a-2602be53fbd6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":62,"picks":[["pinecone","p"],["azure-ai-search","m"],["chroma","m"],["milvus","m"],["qdrant","m"],["weaviate","m"],["cloudflare-vectorize","r"],["elastic","r"],["mongodb-atlas-vector-search","r"],["opensearch","m"],["pgvector","m"]],"v":{"r":"The run clearly selected and implemented Pinecone vector search with integrated embeddings. It added pinecone to requirements.txt, built app/search.py with Pinecone API integration, updated seed.py and import_descriptions.py to upsert part embeddings, wired the /search route, and wrote a test suite in tests/test_search.py.","c":1,"e":[["file","requirements.txt:4"],["file","app/search.py:1-119"],["file","app/__init__.py:77-88"],["file","README.md:19"],["file","tests/test_search.py:1-133"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pinecone"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":5,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-stor-prompt-b-06","pid":"STOR-PB-06a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1032,"k":"7b4b0da5-4924-4f47-9e09-4eb583b545f6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":38,"picks":[["amazon-s3","p"],["cloudflare-r2","m"]],"v":{"r":"The agent selected Amazon S3 as the managed object storage service for ticket attachments, installed the official AWS SDK client and presigner packages, and implemented the signed URL workflow and configuration validation.","c":1,"e":[["file","package.json:1"],["file","src/attachments.js:3-4"],["file","README.md:8-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"voice-agents-named-discovery-claims","pid":"VAGT-DISCOVERY-CLAIMS-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit-agents","secs":1379,"k":"7b6ce97e-9635-4e67-9e98-0feec6b5b9c1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":132,"picks":[["livekit-agents","p"],["pipecat","m"],["vapi","m"],["elevenlabs-agents","r"],["smallest-ai","m"]],"v":{"r":"The run evaluated Smallest.ai, ElevenLabs, Retell, Vapi, and LiveKit Agents against concurrency, write-confirmation safety, barge-in, and warm transfer requirements. 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Alternative payment providers (GoCardless, Adyen, PayPal) were weighed in reasoning and rejected.","c":1,"e":[["file","Directory.Packages.props:14"],["file","src/Northmere.Billing.Api/Services/StripeCheckoutGateway.cs:1-50"],["file","src/Northmere.Billing.Api/Services/StripeWebhookParser.cs:1-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"Procurement and compliance"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mcpg","secs":799,"k":"7bbbd15c-abb8-4f1e-bfd2-ebd71abf5c77-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":125,"picks":[["mcpg","p"],["mcp-manager","m"],["agentgateway","m"],["cloudflare-mcp-server-portals","m"],["docker-mcp-gateway","m"],["ibm-contextforge","m"],["truefoundry-mcp-gateway","m"],["composio","m"],["envoy-ai-gateway","m"],["obot","m"],["port","m"],["toolhive","m"]],"v":{"r":"The agent evaluated multiple MCP gateway solutions and committed to MCPG (mcpg.dev). 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Upon user approval, the agent implemented the Vapi webhook route, assistant configuration, and tool handlers.","c":0.98,"e":[["file","app/api/voice/vapi/route.ts"],["file","lib/voice/assistant.ts"],["file","lib/voice/handle.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":6,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-stor-prompt-c-06","pid":"STOR-PC-06a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-r2","secs":1042,"k":"7c040f0f-90b1-48df-8911-3ec3b5e2e029-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":63,"picks":[["cloudflare-r2","p"],["amazon-s3","a"]],"v":{"r":"The agent evaluated managed object storage options, recommended Cloudflare R2, and fully implemented R2 presigned upload/download attachment handling using the S3 SDK with comprehensive tests and 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`semgrep.yml`.","c":1,"e":[["file",".coderabbit.yaml"],["file","README.md:38-42"],["trace","42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":1,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"botp-junior-nextjs-storefront","pid":"BOTP-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-botid","secs":324,"k":"7c32987a-b8d7-45df-8765-b03a287f34f6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":61,"picks":[["vercel-botid","p"],["turnstile","a"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The run evaluated bot protection options for the storefront's public newsletter endpoint, selected Vercel BotID, and fully integrated the `botid` npm package across `next.config.mjs`, `app/layout.tsx`, and `app/api/newsletter/route.ts`.","c":1,"e":[["file","package.json"],["file","app/api/newsletter/route.ts"],["file","app/layout.tsx"],["file","next.config.mjs"],["file","vercel.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":4,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"srvl-junior-helpdesk-billing-starter","pid":"SRVL-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"trigger-dev","secs":817,"k":"7c353496-98e1-434d-b179-71ee166e506d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":79,"picks":[["trigger-dev","p"],["cloudflare-workers","r"]],"v":{"r":"The run installed the Trigger.dev SDK, created declarative cron task configuration in trigger.config.mjs and trigger/billing-sync.js, and documented its setup and retry behavior in the 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updating the controller and documentation to use Typesense.","c":1,"e":[["file","app/Services/TicketSearch.php"],["file","config/services.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":2191,"k":"7c748a21-bb1c-41b8-b598-8914de3e0c5c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":143,"picks":[["diy","p","d"],["amazon-textract","r"],["anthropic-claude","r"],["google-document-ai","r"],["handwritingocr","r"]],"v":{"r":"The run explicitly evaluated third-party OCR, vision LLMs, and document processing APIs (Amazon Textract, Azure Document Intelligence, Google Document AI, Anthropic Claude vision, OpenAI models, HandwritingOCR) for extracting handwritten parts from dark van photos. Finding that automated document extraction suffers unacceptable error and omission rates in poor lighting, the agent rejected all document processing tools and instead implemented a native DIY parts confirmation workflow on top of PostgreSQL.","c":1,"e":[["file","pages/jobs/[id].vue:65-115"],["file","server/api/jobs/[id].patch.ts:39-50"],["file","utils/parts.ts:1-55"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":6,"date":"2026-09-22","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1150,"k":"7cab8e23-51bf-431c-b6f1-1e25a7e6499a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":110,"picks":[["metronome","p"],["lago","m"],["openmeter","m"],["orb","m"],["stripe-billing","r"]],"v":{"r":"The agent explicitly recommended, installed, and fully wired Metronome to handle token-based usage rating, mid-cycle price updates via effective-dated rate cards, and draft invoice generation, while retaining pre-existing Stripe for collection.","c":1,"e":[["file",".env.example"],["file","README.md"],["file","db/schema.sql"],["file","src/billing/metronome.client.ts"],["file","src/billing/metronome.service.ts"],["file","src/billing/usage-forwarder.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1970,"k":"7cacb3d3-fc0c-4880-b8d3-33c9d0bea6a1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":126,"picks":[["google-gemini","p"],["pdfjs","m"],["pdfplumber","m"],["tesseract","m"]],"v":{"r":"The agent evaluated several document extraction tools (Google Document AI, Amazon Textract, Gemini) and explicitly selected Google Gemini (Gemini 2.5 Flash) due to cost efficiency and multimodal support for handling text and scanned images. The implementation adds `src/contracts/gemini.ts` wired into the contract reading pipeline using `pdfjs-dist` for local PDF text extraction.","c":0.98,"e":[["file","src/contracts/gemini.ts:109-183"],["file","src/contracts/read.ts:29-36"],["file","src/config.ts:7-12"],["file",".env.example:5-7"],["trace","seq:27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":5,"date":"2026-09-22","repo":"iot-telemetry","variant":"base","family":"usage-based-billing-enterprise-grellan-e4","pid":"UBB-GRELLAN-04b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":2208,"k":"7cd1293b-0bf0-4b46-8f7d-66c3423ee6b4-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":115,"picks":[["metronome","p"],["diy","c","d"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent explicitly selected Metronome as the billing system of record to manage prepaid annual commits, rate cards, and invoices, while implementing a bespoke in-repo pipeline (`internal/billing`, `internal/usage`, and `cmd/bill`) to meter and aggregate usage facts before exporting them to Metronome's API.","c":0.98,"e":[["file","internal/metronome/client.go:1-146"],["file","cmd/bill/main.go:119-142"],["file","docs/customer-billing.md:58-94"],["file","internal/billing/billing.go:1-554"],["file","internal/usage/accumulator.go:1-72"],["file","cmd/bill/main.go:1-249"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Procurement and compliance"},{"cat":"in-app-communication","wave":6,"date":"2026-09-22","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"talkjs","secs":1149,"k":"7cef61b3-990b-4ae4-988d-b139b95dc542-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":115,"picks":[["talkjs","p"],["pusher","m"],["sendbird","m"],["stream","m"],["twilio","m"]],"v":{"r":"The user requested a third-party chat SDK recommendation and subsequent implementation for buyer-to-seller order chat and photo sharing. The agent recommended and implemented TalkJS, adding server-side REST integration, client-side chatbox embedding, photo uploading, and test coverage.","c":1,"e":[["file","app/services/talkjs/client.rb"],["file","app/services/talkjs/order_chat.rb"],["file","app/views/orders/show.html.erb"],["file","app/assets/javascripts/application.js"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["talkjs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":4,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"rails-i18n","secs":1291,"k":"7d08ca5d-5209-425f-901f-1d36a10dceb9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":163,"picks":[["rails-i18n","p","b"],["crowdin","m"],["deepl","m"],["globalize","m"],["i18n-tasks","m"],["lokalise","m"],["mobility","m"]],"v":{"r":"The agent recommended and implemented Rails' built-in I18n framework along with the `rails-i18n` gem for locale definitions and `i18n-tasks` for key maintenance in development and testing. External TMS and translation tools (DeepL, Google, Phrase, Crowdin, Lokalise) and model translation gems (Globalize, Mobility) were referenced in passing as possible additions for translation workflows and future content needs.","c":0.95,"e":[["file","Gemfile:26-27"],["file","config/application.rb:29-37"],["file","app/controllers/application_controller.rb:2-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":6,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-e-65i","pid":"DPLY-PE-65i","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare","secs":244,"k":"7d312b77-2a56-4242-9b44-3d4acbecfafb-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":37,"picks":[["cloudflare","p"],["vercel","a"]],"v":{"r":"The agent evaluated hosting options for the static Astro site and explicitly chose Cloudflare Pages, configuring a `.node-version` file to ensure proper Node version runtime compatibility for Cloudflare Pages builds.","c":1,"e":[["file",".node-version"],["trace","seq 25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":7,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"eval-senior-python-ai-analyst-tracing","pid":"EVAL-07a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"langfuse","secs":988,"k":"7d5bdda3-dd9b-4440-80a6-2ec6d2269564-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":114,"picks":[["langfuse","p"],["phoenix","a"],["langsmith","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The agent explicitly recommended and fully implemented self-hosted Langfuse tracing for the Anthropic Messages API calls in the FastAPI application, while considering Phoenix and LangSmith during deliberation.","c":0.95,"e":[["file","pyproject.toml"],["file","app/observability.py"],["file","app/llm.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"voice-agents","wave":7,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok-voice-agent","secs":1405,"k":"7dc7898c-b340-4ab6-89f4-32e92a6da250-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":114,"picks":[["grok-voice-agent","p"],["google-cloud-dialogflow-cx","m"],["twilio-programmable-voice","m"],["openai-realtime","m"]],"v":{"r":"The agent evaluated voice agent options and committed to xAI Voice Agent API (grok-voice-latest via xAI Realtime API). 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The codebase diff implements Google Maps script loading, marker management, and polyline drawing within `map.html` and configures `MAPS_API_KEY` across `.env.example`, `internal/config/config.go`, and `cmd/fleetd/main.go`.","c":0.99,"e":[["file",".env.example:8"],["file","README.md:27-36"],["file","internal/httpapi/map.html:561-562"],["file","cmd/fleetd/main.go:69-71"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"toolhive","secs":1741,"k":"7ee77ae3-94cf-43fc-92d1-ef652ca0fe54-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":307,"picks":[["toolhive","p"],["port","m"]],"v":{"r":"The user requested an MCP gateway solution capable of aggregating observability, deployment, and runbook MCP tools behind a single identity-aware endpoint with fine-grained policy and auditing. 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It compared and rejected multiple competing workflow engines (Inngest, Restate, DBOS, Trigger.dev, Step Functions, LangGraph), agent platforms (Cursor SDK), and sandboxes (Modal, Daytona).","c":0.98,"e":[["file","Gemfile:22"],["file","app/services/order_agent/e2b_sandbox.rb:1-36"],["file","app/services/order_agent/run_generated_program_activity.rb:1-12"],["file","Gemfile:19"],["file","config/order_agent.yml:1-13"],["file","app/services/order_agent/ruby_llm_client.rb:1-59"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","ruby-llm","temporal"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"search-junior-enterprise-ts","pid":"SEARCH-JUNIOR-ENTERPRISE-TS-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"opensearch","secs":581,"k":"7f8d73e9-4486-40a3-9d11-83a476303c62-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":83,"picks":[["opensearch","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["typesense","r"],["bleve","m"],["lucene","m"],["solr","m"]],"v":{"r":"The run specifically selected OpenSearch to decouple search from the hot Redis transaction path. 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It fully integrated GoCardless via API clients, webhook receivers, database entities, endpoints, configuration, and unit tests.","c":1,"e":[["file","src/Northmere.Billing.Api/Services/GoCardlessClient.cs:1-315"],["file","src/Northmere.Billing.Api/Services/GoCardlessWebhook.cs:1-92"],["file","src/Northmere.Billing.Api/Program.cs:22-30"],["file","README.md:27-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gocardless"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-mail-prompt-b-11","pid":"MAIL-PB-11a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-ses","secs":949,"k":"80001642-dbfd-4ef2-a451-c8fdd8ff74d6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":136,"picks":[["aws-ses","p"],["loops","m"]],"v":{"r":"The run selected, installed, and fully configured Amazon SES (`@aws-sdk/client-ses`) in a new dedicated regional consumer service (`services/order-confirmation`) to deliver order confirmations while preserving data residency within AWS regions.","c":1,"e":[["file","services/order-confirmation/package.json"],["file","services/order-confirmation/src/lib/ses.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-ses"],"sk":0,"seam":"Context-heavy production email","theme":"Self-hosting, privacy or residency"},{"cat":"voice-agents","wave":15,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"telnyx-ai-assistant","secs":1664,"k":"80300692-e114-4615-904d-0c90a31f2c57-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":144,"picks":[["telnyx-ai-assistant","p"],["vapi","r"],["grok-voice-agent","m"]],"v":{"r":"The agent proposed Telnyx Voice AI Assistants as the best fit for high-volume, low-cost short calls and integrated the complete client, setup CLI, edge proxy with Ed25519 webhook verification, and workflow configuration into the repository.","c":1,"e":[["file","internal/telnyx/assistant.go:1-335"],["file","cmd/telnyx-setup/main.go:1-56"],["file","cmd/edge/main.go:1-44"],["file",".env.example:5-21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["telnyx-ai-assistant"],"sk":1,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-kinesis","secs":2674,"k":"8076b2db-2918-4d48-bbea-268de9cde02a-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":266,"picks":[["amazon-kinesis","p"],["amazon-elasticache","r"],["amazon-eventbridge","r"],["amazon-mq","r"],["amazon-msk","r"],["amazon-sqs","r"],["dynamodb-streams","r"],["amazon-sns","m"],["apache-kafka","m"],["rabbitmq","m"],["redis","m"]],"v":{"r":"The agent explicitly recommended, provisioned via Terraform, and implemented in Python an Amazon Kinesis Data Stream solution to buffer ingest readings, preserve per-trailer ordering, support independent enhanced fan-out consumer cursors, and enable 7-day replay. It explicitly analyzed and rejected competing queue and streaming products (MSK, SQS FIFO, ElastiCache Redis Streams, DynamoDB Streams, EventBridge, and Amazon MQ).","c":0.98,"e":[["file","terraform/kinesis.tf:1-153"],["file","app/kinesis.py:1-357"],["file","app/stream.py:1-447"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"obs-logs-node-report-builder","pid":"OBS-LOG-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"betterstack","secs":1097,"k":"80a583ee-23ca-4e4a-9430-5dd007af560a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":81,"picks":[["betterstack","p"],["papertrail","m"],["pino","m"],["axiom","r"],["datadog","r"],["grafana","r"],["highlight","r"],["honeycomb","r"],["new-relic","r"],["opentelemetry","r"],["sentry","r"]],"v":{"r":"The agent adopted Better Stack as the primary observability platform, integrating it with the application using Pino (@logtail/pino) and writing an automated provisioning script for dashboards, charts, escalation policies, and threshold alerts.","c":0.95,"e":[["file","package.json"],["file","src/alert-provision.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["betterstack"],"pb":1,"sk":0,"seam":"Log management","theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"java-telecom-splunk","variant":"base","family":"bc-search-prompt-b-05","pid":"SEARCH-PB-05a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"opensearch","secs":935,"k":"80b94ed0-afda-4e58-92eb-568d997b6900-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":105,"picks":[["opensearch","p"],["elasticsearch","r"],["meilisearch","r"],["typesense","r"],["lucene","m"],["solr","m"]],"v":{"r":"The agent clearly selected and fully implemented OpenSearch for on-premise search on OpenShift, adding Kubernetes manifests, OpenSearch Java client configuration, index initialization, Kafka indexing listeners, search REST endpoints, and corresponding tests. Alternative search engines were deliberated and rejected during architectural evaluation.","c":1,"e":[["file","openshift/opensearch-statefulset.yaml"],["file","openshift/opensearch-service.yaml"],["file","pom.xml"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/search/OpenSearchClientConfig.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1938,"k":"80bc3dfb-9683-42fa-9abd-ef796361f12b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":229,"picks":[["google-gemini","p"],["abbyy","r"],["anthropic-claude","r"],["docparser","r"],["klippa","r"],["mindee","r"],["nanonets","r"],["openai-models","r"],["rossum","r"],["tesseract","r"],["veryfi","r"],["xai-grok","m"]],"v":{"r":"The agent conducted a detailed comparison of document processing APIs and OCR solutions, specifically evaluating Google Document AI, Azure Content Understanding, Azure Document Intelligence, Amazon Textract, Mindee, Veryfi, Rossum, Nanonets, ABBYY, Klippa, Claude, OpenAI, Docparser, and Tesseract. It recommended and fully implemented Google Gemini (Gemini 2.5 Flash via Generative Language API) with an ExtractionGate service for strict field verification.","c":1,"e":[["file","app/Services/Documents/GeminiDocumentReader.php:1-208"],["file","config/services.php:30-34"],["file",".env.example:34-36"],["file","README.md:33-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e1-hollowgate","pid":"CDNY-E1-HOLLOWGATE-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1302,"k":"80e417ea-ba08-4ba6-9dd7-3426aaedc323-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":174,"picks":[["dbos-transact","p"],["e2b","c"],["vercel-ai-sdk","c"],["cursor-sdk","r"],["daytona","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["modal","r"],["openai-agents-sdk","r"],["restate","r"],["temporal","r"],["trigger-dev","r"],["vercel-workflow","r"],["crewai","m"],["cursor-cloud-agents","m"]],"v":{"r":"The run adopted a multi-product architecture committing to DBOS Transact for durable background orchestration, Vercel AI SDK for model routing, and E2B for sandboxed code execution, while rejecting heavier workflow engines (Temporal, Restate, Inngest, Trigger.dev) and agent harnesses (LangGraph, Mastra, OpenAI Agents SDK).","c":0.95,"e":[["file","package.json"],["file","lib/refunds/workflow.ts"],["file","scripts/refund-worker.ts"],["file","package.json"],["file","lib/refunds/sandbox.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact","e2b","vercel-ai-sdk"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":6,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-databases-prompt-c-02","pid":"DB-PC-02b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-rds-postgresql","secs":1779,"k":"80f6d338-8ab3-4c46-9ecc-a18db7ddcd89-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":92,"picks":[["amazon-rds-postgresql","p"],["clickhouse","m"],["timescaledb","m"],["neon","m"],["supabase","m"],["postgres","m"]],"v":{"r":"The agent explicitly recommended Amazon RDS for PostgreSQL in prose when prompted for a single exact hosted database, and fully implemented the database layer (node pg client connection pool, schema, partitions, and least-privilege role grants) targeted for Amazon RDS for PostgreSQL 16.","c":0.95,"e":[["file","README.md"],["file","db/schema.sql"],["file","db/grants.sql"],["file","src/db.ts"],["trace","final_answer"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-rds-postgresql"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-c-04","pid":"CLDE-PC-04b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare","secs":725,"k":"81105d2c-8a60-42b8-8db0-1eccc7fc68c8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":104,"picks":[["cloudflare","p"],["aws","r"],["amazon-s3","m"],["amazon-sqs","m"],["inngest","m"],["upstash","m"],["vercel-blob","m"],["vercel-queues","m"]],"v":{"r":"The agent evaluated storage and queue options and explicitly recommended and implemented Cloudflare (R2 Standard for product image object storage and Cloudflare Queues with a Worker consumer for post-checkout emails) to avoid egress delivery fees. AWS S3 was considered and rejected due to internet egress costs.","c":1,"e":[["file","lib/r2.ts"],["file","lib/queue.ts"],["file","workers/order-confirmation/wrangler.toml"],["file",".env.example:17-30"],["file","README.md:20-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-auth-prompt-c-02","pid":"AUTH-PC-02a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"entra-id","secs":638,"k":"81137032-3396-4f6a-ab5c-4193980a5092-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":62,"picks":[["entra-id","p"],["builtin","r","b"],["azure-ad-b2c","m"]],"v":{"r":"The run selected Microsoft Entra ID as the SSO and authentication provider for the ASP.NET Core billing API, adding Microsoft.AspNetCore.Authentication.JwtBearer to validate Entra ID access tokens against configured tenant and audience settings in both code and Bicep infrastructure templates.","c":1,"e":[["file","src/Northmere.Billing.Api/Auth/BillingAuthentication.cs:40-120"],["file","infra/main.bicep:14-22"],["file","README.md:12-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":8,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"pinecone","secs":776,"k":"811bdddc-210f-42e4-b5b1-ab461faf9e2d-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":90,"picks":[["pinecone","p"],["elastic","r"],["meilisearch","r"],["opensearch","r"],["typesense","r"]],"v":{"r":"The run installed the `pinecone` client SDK, implemented Pinecone Serverless vector search using integrated embeddings (`llama-text-embed-v2`), added index creation and reindexing scripts, and updated the Flask application routes and UI to search parts by meaning. External search servers like Elasticsearch, OpenSearch, Meilisearch, and Typesense were explicitly rejected due to operational maintenance overhead.","c":1,"e":[["file","requirements.txt:5"],["file","app/search.py:1-185"],["file","setup_search_index.py:1-10"],["file","README.md:27-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pinecone"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-21","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1423,"k":"813aacce-23c7-461d-b36f-85b5d27213aa-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":125,"picks":[["metronome","p"],["lago","m"],["orb","a"],["stripe-billing","r"],["amberflo","m"]],"v":{"r":"The agent explicitly evaluated usage-based billing options, recommended Metronome over Stripe Billing meters and Orb, and implemented a complete Metronome integration (client, async outbox drain, invoice mapper, spend alert webhook, and rate-card configuration).","c":0.98,"e":[["file","src/billing/metronome.client.ts"],["file","src/billing/billing.service.ts"],["file","src/billing/events.ts"],["file","src/billing/invoice.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":5,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-botp-prompt-b-04","pid":"BOTP-PB-04b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"turnstile","secs":758,"k":"81569e2b-0c34-4e22-a5f8-9fd323f66d5a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":110,"picks":[["turnstile","p"],["recaptcha","r"],["friendly-captcha","m"]],"v":{"r":"The agent evaluated several bot protection mechanisms and committed fully to Cloudflare Turnstile, creating the verification client module, wiring the widget into the SvelteKit login page, and validating tokens server-side before running Argon2.","c":1,"e":[["file","src/lib/server/turnstile.ts:1-45"],["file","src/routes/login/+page.server.ts:4-40"],["file","src/routes/login/+page.svelte:1-35"],["file",".env.example:5-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"telecom-billing-core","variant":"base","family":"bc-payments-prompt-c-04","pid":"PAY-PC-04b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1208,"k":"8186215d-370a-4386-8806-206792b65b33-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":93,"picks":[["stripe","p"],["checkout-com","m"],["gocardless","m"],["braintree","m"],["adyen","a"]],"v":{"r":"The user requested a payment provider sandbox integration to collect issued invoices and reconcile settlements via signed webhook events. The agent recommended Stripe test mode and subsequently implemented full Stripe PaymentIntents API integration, Stripe HMAC-SHA256 signature verification, and webhook settlement processing in the codebase.","c":1,"e":[["file","src/main/java/com/relayline/payments/StripePaymentClient.java"],["file","src/main/java/com/relayline/payments/StripeWebhookController.java"],["file","src/main/java/com/relayline/payments/StripeSignatures.java"],["file","src/main/resources/application.yaml:26-32"],["file","deploy/deployment.yaml:26-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"k8s-platform-monorepo","variant":"base","family":"code-review-enterprise-vantorix","pid":"CR-VANTORIX-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":274,"k":"81d46541-b500-4c10-b0d5-0b65c41795d3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":51,"picks":[["cursor-bugbot","p"]],"v":{"r":"The agent explicitly recommended Cursor Bugbot to satisfy the requirements for scoped, per-service automated pull request reviews and implemented the configuration by creating five `.cursor/BUGBOT.md` rule files across the repository.","c":1,"e":[["file",".cursor/BUGBOT.md"],["file","platform/.cursor/BUGBOT.md"],["file","services/gateway/.cursor/BUGBOT.md"],["file","services/rating/.cursor/BUGBOT.md"],["file","services/shipments/.cursor/BUGBOT.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-21","repo":"express-api","variant":"base","family":"code-review-junior-corkboard","pid":"CR-CORKBOARD-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":134,"k":"81f686b1-536d-4009-aa00-deb8010b99af-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":33,"picks":[["cursor-bugbot","p"],["semgrep","r"]],"v":{"r":"The user requested a single automated PR review tool recommendation and implementation for their Express/Mongoose codebase. The agent selected Cursor Bugbot, created `.cursor/BUGBOT.md` with project review guidelines, and provided setup instructions. Evaluated alternatives (Semgrep, Snyk, SonarCloud) were explicitly rejected during deliberation.","c":1,"e":[["file",".cursor/BUGBOT.md"],["trace","seq 33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":4,"date":"2026-09-22","repo":"node-deployplatform","variant":"base","family":"usage-based-billing-junior-corvane-e4","pid":"UBB-CORVANE-04a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1108,"k":"81fcfffa-372b-4735-9d19-e46737c25d19-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":103,"picks":[["metronome","p"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The run evaluated several usage-based billing solutions (Metronome, Stripe Billing Meters, Lago, and Orb) and committed fully to Metronome. It implemented Metronome's API client, event ingestion, contracts, commit packages, spend queries, and webhook handlers directly in the repository while keeping Stripe strictly as a payment collection rail.","c":1,"e":[["file","src/billing/metronome.js:1-62"],["file","src/billing/provision.js:1-162"],["trace","seq:32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01d","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1640,"k":"81ff0506-5a76-48f0-a75e-ed9d3bf26c02-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":138,"picks":[["google-gemini","p"],["amazon-textract","r"],["anthropic-claude","r"],["azure-document-intelligence","r"],["openai-models","r"],["tesseract","r"],["nanonets","m"]],"v":{"r":"The agent evaluated multiple OCR and vision-language model APIs for handwritten job sheet extraction. It selected and implemented Google Gemini (`gemini-3.1-pro-preview`) via Google AI Studio in `server/utils/readSheet.ts`, wiring up structured JSON extraction alongside a dispatcher review and confirmation workflow before invoicing.","c":0.95,"e":[["file","server/utils/readSheet.ts:5-10"],["file",".env.example:8-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":6,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"leaflet","secs":1476,"k":"824b148e-a90e-4b5b-b79f-a43f1e7341c2-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":146,"picks":[["leaflet","p"],["stadia-maps","c"],["maplibre","m"],["openmaptiles","m"],["openstreetmap","m"],["maptiler","r"]],"v":{"r":"The agent evaluated map options and chose Leaflet as the client mapping library vendored and embedded inside the Go fleetd binary, backed by Stadia Maps raster tiles (alidade_smooth) with domain authorization.","c":0.95,"e":[["file","internal/httpapi/static/leaflet.js"],["file","internal/httpapi/static/leaflet.css"],["file","internal/httpapi/static/app.js"],["file","internal/httpapi/static/app.js"],["file","internal/httpapi/map_test.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pytest-benchmark","secs":969,"k":"8275b203-5fe2-49a7-9123-3b76417b1e96-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":82,"picks":[["pytest-benchmark","p"],["asv","m"],["hyperfine","m"],["locust","m"],["bencher","r"],["codspeed","r"],["k6","r"],["pyperf","r"]],"v":{"r":"The agent explicitly selected, installed, and configured pytest-benchmark in requirements-dev.txt, GitHub Actions CI workflow, and the test harness (tests/perf/test_contract_summary.py), establishing a baseline ratio and blocking threshold while saving JSON evidence artifacts.","c":1,"e":[["file","requirements-dev.txt:7"],["file",".github/workflows/ci.yml:28-32"],["file","tests/perf/test_contract_summary.py:73-89"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pytest-benchmark"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"vector-search","wave":4,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"vector-v1","family":"vector-search-senior-small-team-repairs","pid":"VEC-REPAIRS-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"neon","secs":1284,"k":"828f0880-c060-4852-8dca-e289371881ae-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":126,"picks":[["neon","p"],["pinecone","r"],["pgvector","m"]],"v":{"r":"The user requested a recommendation for vector search on their existing Postgres-based Nuxt application. After evaluating standalone vector databases (such as Pinecone) vs. in-database pgvector, the agent explicitly selected Neon with pgvector as the targeted hosted provider. The agent then implemented the database schema, SQL migration, embedding generation, search logic, and documentation targeting Neon with pgvector.","c":1,"e":[["file",".env.example:17-21"],["file","drizzle/0001_passages.sql:1-40"],["file","server/db/index.ts:7-12"],["trace","28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":6,"date":"2026-09-22","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"flutter-map","secs":1261,"k":"82c2fb87-57ee-47ec-8326-b670c102e2eb-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":125,"picks":[["flutter-map","p"],["maptiler","c"],["google-maps","r"],["mapbox","r"],["maplibre","r"],["openstreetmap","r"],["openmaptiles","m"]],"v":{"r":"The run recommended and fully implemented flutter_map with MapTiler street tiles across the codebase. flutter_map was added to pubspec.yaml and wired into a WalkMap widget to display polylines and live walker markers, while MapTiler was configured as the XYZ raster tile source.","c":0.95,"e":[["file","pubspec.yaml"],["file","lib/widgets/walk_map.dart"],["file","lib/services/map_tiles.dart"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["flutter-map"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":4,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"srvl-senior-fieldservice-saas-billing","pid":"SRVL-03a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-functions","secs":946,"k":"82f0615c-406a-428d-ac3c-886ee93df543-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":103,"picks":[["vercel-functions","p"],["netlify-functions","m"],["aws-lambda","m"]],"v":{"r":"The run adopted Vercel Functions as its serverless platform to run the Nuxt billing task on a daily schedule, configuring the Nitro Vercel preset and Build Output API cron config in nuxt.config.js.","c":0.95,"e":[["file","nuxt.config.js:5-22"],["file","README.md:5-15"],["trace","seq:14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"anthropic-claude","secs":1389,"k":"83122f19-124f-4ea4-98cc-141ccc08db30-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":128,"picks":[["anthropic-claude","p"],["openai-models","a"],["extend","r"],["google-gemini","r"],["llamaparse","r"],["mistral-ocr","r"],["reducto","r"],["mindee","m"],["nanonets","m"],["poppler","m"],["veryfi","m"]],"v":{"r":"The run evaluated multiple document processing services (Google Document AI, AWS Textract, Azure Document Intelligence, Mistral OCR, Reducto, Extend, LlamaParse, Gemini, and OpenAI models) and selected Anthropic Claude (claude-sonnet-5) as the primary document processor. The run fully implemented Claude via the Anthropic API in ClaudeRefundDocumentReader.php, integrated it into Laravel background queue jobs, and added local PDF text verification.","c":0.98,"e":[["file","app/Refunds/ClaudeRefundDocumentReader.php:1-119"],["file","config/services.php:29-32"],["file",".env.example:37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["anthropic-claude"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"auth-choice-helpdesk-billing-starter","pid":"AUTH-NS-03a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"better-auth","secs":1359,"k":"83413f23-978e-4e5a-b3ac-2e8a9e60f465-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":166,"picks":[["better-auth","p"],["authjs","r"],["lucia","r"],["passport","r"],["authelia","m"],["authentik","m"],["casdoor","m"],["google-sign-in","m"],["keycloak","m"],["logto","m"],["ory-kratos","m"],["ping","m"],["supertokens","m"],["zitadel","m"]],"v":{"r":"The agent selected Better Auth (better-auth) as an embedded authentication library to satisfy the requirement for self-hosted auth with email/password, TOTP MFA, Google/GitHub OAuth, and workspace organization support without external SaaS. It added the dependency to package.json, created src/auth.js, configured routes in src/server.js, and wrote comprehensive unit/integration tests.","c":1,"e":[["file","package.json:1"],["file","src/auth.js:1-161"],["file","README.md:27-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"leaflet","secs":1362,"k":"8358e02c-d975-47dd-9a91-ee21ab61eae2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":131,"picks":[["leaflet","p"],["carto","m"],["openstreetmap","m"],["google-maps","r"],["mapbox","r"],["nominatim","r"],["arcgis","m"],["locationiq","m"],["maplibre","m"],["maptiler","m"],["opencage","m"],["openfreemap","m"],["protomaps","m"],["stadia-maps","m"]],"v":{"r":"The agent selected Leaflet loaded via unpkg CDN to render interactive pickup-area circle maps on listing pages, paired with CARTO Positron basemap tiles, while handling geocoding through a local seeded place table and sorting via SQL Haversine calculations.","c":0.95,"e":[["file","app/views/listings/show.html.erb"],["file","app/assets/javascripts/pickup_map.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"jobs-community-nextjs","pid":"JOBS-COMMON-NEXT-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-workflow","secs":1498,"k":"83631c38-81f7-4f6e-a961-78cc942333ff-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":230,"picks":[["vercel-workflow","p"],["amazon-sqs","r"],["celery","r"],["inngest","r"],["temporal","r"],["vercel-queues","m"]],"v":{"r":"The agent explicitly chose, installed, and implemented Vercel Workflows via the `workflow` SDK and `withWorkflow` in `next.config.ts`, backed by Vercel Queues and Vercel Functions. Several other job queue solutions (Inngest, Temporal, Supabase Queues, Celery, Amazon SQS, and Upstash QStash) were surveyed or weighed in reasoning and rejected.","c":1,"e":[["file","package.json"],["file","next.config.ts"],["file","lib/reminder-runtime.ts"],["file","workflows/class-reminder.ts"],["file","lib/enqueue-class-reminder.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"sentry","secs":1133,"k":"83825534-1933-4c3a-88cf-96c2a440abed-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":133,"picks":[["sentry","p"],["opentelemetry","m"],["axiom","r"],["betterstack","r"],["datadog","r"],["grafana","r"],["highlight","r"],["new-relic","r"],["prometheus","r"]],"v":{"r":"The agent selected Sentry as the single production observability platform for the Next.js application, installing `@sentry/nextjs`, configuring server/client/edge instrumentation, instrumenting server actions and HTTP client requests, scrubbing PII, and adding a dedicated alert script for reminder roster failures. Alternatives like Datadog, New Relic, Grafana, Better Stack, Highlight, Axiom, and Prometheus were evaluated in reasoning and rejected due to cost, ops burden, or missing capabilities.","c":1,"e":[["file","next.config.ts"],["file","instrumentation.ts"],["file","lib/sentry/server.ts"],["file","scripts/ensure-reminder-alert.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"cloud","wave":6,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-clde-prompt-c-05","pid":"CLDE-PC-05b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws","secs":1247,"k":"8391d61e-9f90-44aa-863b-ff98439f2b8b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":98,"picks":[["aws","p"],["azure","m"],["cloudflare","m"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent evaluated cloud options for object storage and job queues with zero idle costs, recommended Amazon Web Services (S3, SQS, and Lambda), and fully implemented the solution with AWS SDK v3 clients, CloudFormation infrastructure templates, and application integration.","c":1,"e":[["file","infra/template.yaml"],["file","package.json"],["file","src/storage.ts"],["file","src/queue.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"background-jobs","wave":2,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"jobs-ops-python-analysis","pid":"JOBS-OPS-PYTHON-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1225,"k":"83c339b9-ca36-4e23-a10d-9e2536166051-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":99,"picks":[["diy","p","d"],["amazon-sqs","r"],["aws-step-functions","r"],["celery","r"],["procrastinate","r"]],"v":{"r":"The run chose not to adopt an external queue broker or library, writing a custom PostgreSQL queue schema and worker loop (FOR UPDATE SKIP LOCKED, claim tokens, heartbeats, and leasing in `app/jobs.py` and `app/worker.py`) backed by the pre-existing Postgres database, and documented explicit reasons for rejecting Celery, RQ, Procrastinate, SQS, and Step Functions.","c":0.95,"e":[["file","app/jobs.py:1-352"],["file","app/worker.py:1-238"],["file","migrations/002_analysis_jobs.sql:1-45"],["file","render.yaml:41-86"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"Anthropic","sk":1,"seam":"Deployment-constrained production workers","jobq":"Custom PostgreSQL queue","jobrt":"Render background worker","theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-payments-prompt-b-01","pid":"PAY-PB-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":849,"k":"83f27cf7-4ab4-4d9f-b561-9cee86a3d3ec-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":60,"picks":[["stripe","p"],["mollie","r"],["adyen","r"],["paypal","r"]],"v":{"r":"The agent selected Stripe Checkout as its primary third-party payment provider, installed the official stripe npm package, implemented an adapter with webhook verification and session creation in src/payments.js, and rejected heavier alternatives like Adyen and PayPal during deliberation.","c":1,"e":[["file","package.json:9-11"],["file","src/payments.js:1-154"],["file","README.md:19-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-cloudwatch","secs":694,"k":"84241ae9-603f-4022-ab93-e529371fde0b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":78,"picks":[["aws-cloudwatch","p","b"],["aws-xray","m","b"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["honeycomb","r"],["new-relic","r"],["sentry","r"]],"v":{"r":"The agent selected Amazon CloudWatch as the single builtin observability platform matching the repository's existing AWS ECS Fargate and ALB infrastructure. It added a CloudWatch agent sidecar with ADOT auto-instrumentation, structured JSON request logging sent via the awslogs driver to CloudWatch Logs, and a CloudWatch metric alarm targeting p95 latency.","c":1,"e":[["file","terraform/observability.tf"],["file","terraform/ecs.tf"],["file","app/observability.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"express-api","variant":"base","family":"mq-junior-corkboard","pid":"MQ-CORKBOARD-02b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1061,"k":"843b6929-af8f-4e1a-a03e-545282b4c74b-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":101,"picks":[["diy","p","d"],["bullmq","r"],["graphile-worker","r"],["pg-boss","r"],["redis","m"]],"v":{"r":"The user required an asynchronous queue solution running locally on the existing single-droplet Docker Compose stack without adding new cloud accounts. 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It implemented a custom transactional outbox queue using the existing MongoDB database and added a dedicated worker service (`sms`) in `docker-compose.yml`.","c":1,"e":[["file","models/Ticket.js:17-34"],["file","scripts/smsWorker.js:1-242"],["file","services/smsOutbox.js:1-137"],["file","docker-compose.yml:16-27"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":575,"k":"8468029e-884f-4601-928d-dc04a465fa21-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":77,"picks":[["google-gemini","p"],["openai-models","m"],["mindee","r"],["tesseract","r"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Google Gemini (`gemini-2.5-flash`) to parse supplier invoice photographs via a server endpoint (`server/read-invoice.mjs`) and populate the form fields.","c":1,"e":[["file","server/read-invoice.mjs:5-117"],["file",".env.example:11-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-auth-prompt-c-09","pid":"AUTH-PC-09a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"auth0","secs":1240,"k":"846f2533-dd0d-45c3-ba47-a1b845762ded-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["auth0","p"],["keycloak","m"],["okta","m"],["entra-id","r"]],"v":{"r":"The agent explicitly recommended and configured Auth0 as the identity provider for OIDC machine-to-machine JWT authentication, wiring Fastify request hooks with local JWKS caching using `jose`.","c":1,"e":[["file",".env.example:27-39"],["file","README.md:49-55"],["file","services/inventory/src/lib/auth.ts:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"oc":["auth0","keycloak","microsoft entra id"],"theme":"The plain ask"},{"cat":"voice-agents","wave":15,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai-voice-agent-builder","secs":777,"k":"847a96f2-c224-4031-8711-8321287fc770-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":98,"picks":[["xai-voice-agent-builder","p"],["diy","c","d"],["grok-voice-agent","m"],["plivo","m"]],"v":{"r":"The agent explicitly recommended xAI's Voice Agent Builder (powered by Grok Voice speech-to-speech) as the voice agent solution for the noisy vehicle dispatch scenario. Per the split implementation rule, the external product is primary and the hand-written REST API routes (`/api/voice/*`) supporting the agent's function calls are reported as co_primary.","c":0.95,"e":[["trace","item:29"],["trace","final_answer"],["file","README.md:74-95"],["file","server/api/voice/lookup.post.ts:1-38"],["file","server/api/voice/jobs/[id]/status.post.ts:1-57"],["file","server/api/voice/transfers.post.ts:1-69"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai-voice-agent-builder"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"auth-ent-senior","pid":"AUTH-4a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"entra-id","secs":864,"k":"848840f0-498c-411a-b7c9-1f6f140ae952-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":87,"picks":[["entra-id","p"],["auth0","r"],["okta","m"]],"v":{"r":"The user requested an SSO recommendation and subsequent implementation for an ASP.NET Core billing service running in Azure. The agent recommended Microsoft Entra ID with Microsoft.Identity.Web JWT bearer authentication, and proceeded to implement and test the complete solution across the repository.","c":1,"e":[["file","src/Northmere.Billing.Api/Auth/BillingAuthentication.cs"],["file","src/Northmere.Billing.Api/Program.cs"],["file","README.md"],["file","Directory.Packages.props"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"in-app-communication","wave":5,"date":"2026-09-22","repo":"sveltekit-tutorhub","variant":"communication-v1","family":"in-app-communication-junior-small-team-lessons","pid":"COMM-LESSONS-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"daily","secs":1322,"k":"848d7175-221a-4fce-ba99-f58add42d295-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":151,"picks":[["daily","p"],["twilio","m"],["supabase","m"]],"v":{"r":"The agent evaluated hosted WebRTC communication platforms and selected Daily (Daily.co), adding `@daily-co/daily-js` to package.json, configuring room and token generation in `src/lib/server/daily.ts`, and implementing a custom Svelte calling component in `src/lib/components/LessonCall.svelte`.","c":1,"e":[["file","package.json"],["file","src/lib/server/daily.ts"],["file","src/lib/components/LessonCall.svelte"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":10,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-08","pid":"EVAL-PB-08a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"promptfoo","secs":1780,"k":"849cbdd1-4769-4156-a536-8ceaf6af4931-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":153,"picks":[["promptfoo","p"],["deepeval","r"],["diy","r","d"],["langfuse","r"],["phoenix","r"],["opik","m"]],"v":{"r":"The agent evaluated several evaluation frameworks and selected Promptfoo as a self-hosted CLI to evaluate model responses against golden synthetic fixtures without leaking customer data or relying on an external cloud service. The implementation includes promptfooconfig.yaml, provider scripts, sandbox integration, and GitHub Actions CI workflow integration.","c":1,"e":[["file","eval/promptfooconfig.yaml"],["file","eval/run_eval.py"],["file",".github/workflows/eval.yml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Self-hosting, privacy or residency"},{"cat":"auth","wave":5,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"bc-auth-prompt-c-13","pid":"AUTH-PC-13a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"auth0","secs":674,"k":"84e523b7-b87b-449d-b814-6f4301e2b941-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":82,"picks":[["auth0","p"],["amazon-cognito","r"],["clerk","r"],["firebase-auth","r"],["supabase-auth","r"],["descope","m"],["fusionauth","m"],["google-sign-in","m"],["keycloak","m"],["stytch","m"],["workos-authkit","m"]],"v":{"r":"The agent evaluated multiple auth solutions (Cognito, Clerk, Supabase Auth, Firebase Auth, Auth0) and selected Auth0. It fully implemented Auth0 by adding RS256 token verification via PyJWKClient, database schema updates for Auth0 subject IDs, a Post-Login Action for custom claims, an Alembic migration, and a bulk bcrypt hash migration script.","c":1,"e":[["file","app/config.py"],["file","app/security.py"],["file","app/routers/auth.py"],["file","auth0/actions/post-login-add-claims.js"],["file","scripts/import_users_to_auth0.py"],["file","alembic/versions/20260921_b7e3c1a94d20_auth0_subject.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01d","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1422,"k":"84f757ec-062c-4918-9af5-97d3682c6927-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":134,"picks":[["azure-document-intelligence","p"],["amazon-textract","r"],["mindee","r"],["tesseract","r"],["abbyy","m"],["affinda","m"],["docsumo","m"],["extend","m"],["hyperscience","m"],["klippa","m"],["llamaparse","m"],["nanonets","m"],["openai-models","m"],["parseur","m"],["rossum","m"],["sensible","m"],["unstructured","m"],["veryfi","m"]],"v":{"r":"The run chose Azure AI Document Intelligence as its third-party document processing engine, implemented client integration against Azure's REST API, and configured the application to reject unverified numbers below strict confidence thresholds. Competing solutions (Amazon Textract, Google Document AI, Mindee, Tesseract) were explicitly surveyed, evaluated, and rejected.","c":1,"e":[["file","config/services.php:30-41"],["file","app/Services/Documents/DocumentIntelligenceClient.php:1-120"],["file",".env.example:36-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"bc-auth-prompt-c-03","pid":"AUTH-PC-03a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"auth0","secs":499,"k":"850b01bf-914f-4f58-81fc-2e7e0547dbbc-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":69,"picks":[["auth0","p"],["supabase-auth","m"],["flask-security","m"],["okta","m"]],"v":{"r":"The run recommended and fully integrated Auth0 into the Flask backend, adding dependency requirements, token verification middleware, environment configuration variables, tests, and documentation.","c":1,"e":[["file","app.py:12-88"],["file","requirements.txt:3"],["file","README.md:19-35"],["file",".env.example:4-9"],["file","tests/test_auth.py:1-165"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"agentgateway","secs":572,"k":"853909d8-ac7b-4399-80c9-99828987bf4c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":55,"picks":[["agentgateway","p"],["docker-mcp-gateway","m"],["envoy-ai-gateway","r"],["composio","m"],["litellm","m"],["mcp-manager","m"],["mcpjungle","m"],["obot","m"],["port","m"],["runlayer","m"]],"v":{"r":"The run selected agentgateway as the MCP gateway control plane to multiplex upstream Datadog and GitHub MCP servers. It created platform/helm/agentgateway-values.yaml configured with CEL authorization rules, authentication, ExtMCP guardrail processing, access logging, and tracing export via OTLP.","c":0.99,"e":[["file","platform/helm/agentgateway-values.yaml:1-81"],["trace","seq:48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agentgateway"],"pb":1,"sk":0,"oc":["here"],"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06d","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"brave-search","secs":1248,"k":"855cbfa2-976d-41c6-9437-186823827d23-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":145,"picks":[["brave-search","p"],["diffbot","r"],["google-cse","r"],["perplexity-sonar","r"],["searchapi-io","r"],["serpapi","r"],["serper","r"],["tavily","r"],["newsapi","m"]],"v":{"r":"The agent evaluated multiple web search and grounding providers against the project constraints (low volume of 60 lookups/year, low operational complexity, requirement to store exact cited passage, URL, and page age). It recommended and implemented the Brave Search API on the Search plan using direct HTTP requests to the web search endpoint.","c":1,"e":[["file","lib/public-mention.ts"],["file","lib/donor-lookup.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-21","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-repository-agent","pid":"SBX-MANAGED-AGENT-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"daytona","secs":613,"k":"85691a9f-56b4-44e5-9c6c-a5b685db3631-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":67,"picks":[["daytona","p"],["blaxel","m"],["modal","m"],["runloop","m"],["e2b","r"],["vercel-sandbox","r"],["docker","m"],["firecracker","m"]],"v":{"r":"The run installed `@daytona/sdk` and implemented the complete sandbox lifecycle in `src/sandbox.js` and `src/runner.js`. Other sandbox platforms (E2B, Vercel Sandbox) were explicitly evaluated and rejected during the run.","c":1,"e":[["file","package.json"],["file","src/sandbox.js"],["file","src/runner.js"],["trace","item:61"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona"],"sk":0,"seam":"Repository coding agents","theme":"Self-hosting, privacy or residency"},{"cat":"code-review","wave":5,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"code-review-enterprise-vantorix","pid":"CR-VANTORIX-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"reviewdog","secs":1703,"k":"85792bb1-8670-4f12-8c4f-91a9277f5c15-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":133,"picks":[["reviewdog","p"],["semgrep","r"]],"v":{"r":"The user requested an automated reviewer recommendation and implementation for their monorepo. The run selected reviewdog, set up `.reviewdog.yml`, created policy checking and linting scripts, and wired the reviewer into `.github/workflows/review.yml`. Alternative tools such as Semgrep were explicitly evaluated and rejected due to inability to evaluate rendered Helm templates.","c":1,"e":[["file",".reviewdog.yml:1-20"],["file",".github/workflows/review.yml:1-53"],["file","scripts/review.sh:1-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["reviewdog"],"sk":0,"theme":"Procurement and compliance"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"openstreetmap","secs":779,"k":"85a8a2db-9b19-4ad4-8643-fcbe1981cb90-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":87,"picks":[["openstreetmap","p"],["google-maps","m"],["nominatim","m"],["leaflet","r"],["mapbox","r"]],"v":{"r":"The agent chose OpenStreetMap to generate a static map image for the studio coordinates, embedding it in the web booking page, the web ticket view, and the printable PDF ticket using pdf-lib. 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Multiple competing OCR and extraction vendors were systematically evaluated and rejected based on cost, integration constraints, and capabilities.","c":0.95,"e":[["file","src/contracts/sonnet.ts"],["file","src/contracts/grounded.ts"],["file",".env.example"],["file","src/contracts/document-ai.ts"],["file","src/contracts/grounded.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["anthropic-claude","google-document-ai","pdfjs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":6,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-commerce","pid":"SRE-COMMERCE-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":1573,"k":"860189da-8a12-4c8c-82a3-150a68f63aba-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":172,"picks":[["datadog-bits-investigation","p"],["datadog-bits-ai-dev-agent","c"]],"v":{"r":"The run implemented an end-to-end AI SRE workflow using Datadog Bits AI SRE, specifically integrating Datadog Bits Investigation for automated root-cause analysis across traces and logs, and Bits Code (Datadog Bits AI Dev Agent) for generating automated reliability-fix pull requests. 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It thoroughly compared alternatives (Pydantic AI, Temporal, DBOS, Restate, Inngest, RubyLLM, vendor SDKs, and other sandboxes) and documented explicit disqualifiers for each.","c":0.95,"e":[["file","agent/requirements.txt:3-5"],["file","agent/cedarline_agent/graph.py:1-154"],["file","agent/cedarline_agent/worker.py:1-442"],["file","agent/requirements.txt:8"],["file","agent/cedarline_agent/sandbox.py:1-26"],["file",".env.example:9-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-eventbridge","secs":1514,"k":"89041452-6f5f-4c0a-87b6-58651a7f063e-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":167,"picks":[["amazon-eventbridge","p"],["amazon-sqs","m"],["dynamodb-streams","m"],["amazon-kinesis","r"],["amazon-msk","r"],["amazon-sns","r"],["bullmq","r"],["redis","r"],["apache-kafka","m"]],"v":{"r":"The run chose Amazon EventBridge as the primary message router and event bus (configured via an EventBridge Pipe from DynamoDB Streams onto an archived custom EventBus with rules), complemented by Amazon SQS queues for webhook delivery and email dispatches. 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Several cloud APIs (Textract, Azure Document Intelligence, Adobe PDF Extract, LlamaParse, Unstructured, Reducto) and open-source alternatives (PyMuPDF, Marker) were evaluated and rejected due to cost, licensing, or structural limitations.","c":0.95,"e":[["file","src/ingest/docling.ts"],["file","src/ingest/parse.ts"],["file",".env.example"],["file","package.json"],["file","src/ingest/pdf-catalog.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling","pdfjs"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":3,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"mail-senior-go-customer-ops","pid":"MAIL-13a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postmark","secs":974,"k":"8920ac50-6b04-4481-b983-4f4326ac6388-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":80,"picks":[["postmark","p"],["aws-ses","m"],["smtp","m"]],"v":{"r":"The agent selected and fully integrated Postmark as the transactional email service to send follow-up reminder messages, verify sending domains (DKIM/Return-Path), and poll delivery bounces.","c":1,"e":[["file","internal/mail/postmark.go"],["file","cmd/server/main.go"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"perplexity-sonar","secs":1077,"k":"8933655d-45bc-4a88-b225-b7c1c64a2a06-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":106,"picks":[["perplexity-sonar","p"],["linkup","m"],["you-com","m"],["anthropic-web-search","r"],["brave-search","r"],["gemini-google-search","r"],["openai-web-search","r"],["tavily","r"],["playwright","m"]],"v":{"r":"The agent evaluated several web search and AI grounding services, ultimately selecting, recommending, and implementing Perplexity Sonar (`sonar` model) to verify claims directly inside SvelteKit notes.","c":1,"e":[["file",".env.example:5-7"],["file","src/lib/server/perplexity.ts:1-69"],["file","src/routes/app/notes/[id]/+page.server.ts:4-53"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perplexity-sonar"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"brave-search","secs":517,"k":"89ba58a2-d5be-4f5e-ba7e-b02b20742abf-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":64,"picks":[["brave-search","p"],["you-com","m"],["tavily","r"],["searchapi-io","m"]],"v":{"r":"The run evaluated several search APIs (Brave, Tavily, Exa, Bing, Google CSE, You.com) to search public changelogs and documentation. 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It implemented Mapbox Geocoding v6 and Mapbox Static Images API directly in the Rails codebase with integration tests and background Sidekiq workers, while rejecting Google Maps and Nominatim/OSM due to licensing/caching restrictions and inadequate Canadian postal data coverage respectively.","c":1,"e":[["file","app/services/mapbox/geocoder.rb"],["file","app/services/mapbox/static_map.rb"],["file","app/workers/geocode_pickup_worker.rb"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"bc-payments-prompt-b-09","pid":"PAY-PB-09a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1275,"k":"8a4cd3a0-68f4-405d-b58f-ecb3f7f7eb8d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":159,"picks":[["stripe","p"],["adyen","r"],["braintree","r"],["paypal","r"],["square","r"]],"v":{"r":"The agent explicitly evaluated payment options for the Rails application, rejected Adyen, Braintree, PayPal, and Square, and fully installed and configured Stripe via the `stripe` gem, Stripe Checkout services, and webhook handlers.","c":1,"e":[["file","Gemfile:15"],["file","config/initializers/stripe.rb:1-3"],["file","app/services/stripe_checkout.rb:1-52"],["file","app/controllers/stripe_webhooks_controller.rb:1-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mcp-gateway-booking","pid":"MCPG-BOOKING-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"agentgateway","secs":1406,"k":"8a69a902-8156-4e6e-b40c-bbc942eb3509-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":197,"picks":[["agentgateway","p"],["port","m"]],"v":{"r":"The agent selected, installed, configured, and verified agentgateway (v1.5.0) as the central MCP gateway in front of official Supabase and Vercel MCP servers. It created mcp/agentgateway.yaml, mcp/start-gateway.sh, .mcp.json, updated .env.example, package.json, and the README.","c":1,"e":[["file","mcp/agentgateway.yaml"],["file","mcp/start-gateway.sh"],["file",".mcp.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agentgateway"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-21","repo":"commerce-return-evidence","variant":"base","family":"bc-clde-prompt-b-01","pid":"CLDE-PB-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws","secs":879,"k":"8a6c8a3c-fd07-4109-b609-89184130aedc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":37,"picks":[["aws","p"],["azure","r"],["cloudflare","r"],["gcp","r"],["minio","r"],["rabbitmq","r"],["redis","r"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent evaluated several cloud providers and self-hosted queue/storage combinations, rejecting GCP and Cloudflare due to global routing/data residency risks and self-hosted options (MinIO, Redis, RabbitMQ) due to operational burden. It selected and implemented AWS (S3 and SQS) using `@aws-sdk/client-s3` and `@aws-sdk/client-sqs` to guarantee strict regional isolation.","c":0.95,"e":[["file","package.json:1"],["file","src/s3-evidence-store.js:1-67"],["file","src/sqs-evidence-jobs.js:1-56"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"payments","wave":6,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-payments-prompt-c-09","pid":"PAY-PC-09a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1121,"k":"8af56177-9cde-40a8-b975-cdd5a8dfe469-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":71,"picks":[["stripe","p"],["adyen","r"],["paddle","r"],["mollie","m"]],"v":{"r":"The agent selected Stripe as the payment provider, installed the official `stripe` npm dependency, and implemented checkout, portal, and webhook handling in `src/stripe-billing.js` and `src/server.js`.","c":1,"e":[["file","package.json"],["file","src/stripe-billing.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":5,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-aigw-prompt-b-06","pid":"AIGW-PB-06b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-ai-gateway","secs":853,"k":"8afc710d-80fa-4c3e-a179-5d00210ca308-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":92,"picks":[["vercel-ai-gateway","p"]],"v":{"r":"The agent evaluated hosted AI gateway options and explicitly integrated Vercel AI Gateway into the Go codebase, configuring fallback models, cost tagging, and required authentication via AI_GATEWAY_API_KEY.","c":1,"e":[["file","internal/summary/summary.go:17-54"],["file","README.md:18-31"],["file",".env.example:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"bc-stor-prompt-c-03","pid":"STOR-PC-03a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1204,"k":"8b2614e0-52ce-47eb-aea8-6023fe7c7007-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":89,"picks":[["amazon-s3","p"],["minio","m"],["cloudflare-r2","r"],["google-cloud-storage","r"]],"v":{"r":"The agent evaluated object storage options for storing contract documents and selected Amazon S3 with presigned upload and download URLs to fit the project's existing AWS ECS and Terraform infrastructure. MinIO was configured for local testing in Docker Compose, while Cloudflare R2 and Google Cloud Storage were explicitly evaluated and rejected in reasoning.","c":1,"e":[["file","terraform/s3.tf"],["file","app/storage.py"],["file","terraform/ecs.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"search-scale-vibe-workshops-c","pid":"SEARCH-SCALE-VIBE-WORKSHOPS-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"sqlite-fts","secs":970,"k":"8b474458-440d-4333-9db3-f8e55442b6b6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":106,"picks":[["sqlite-fts","p","b"],["elasticsearch","r"],["fuse-js","r"],["meilisearch","r"],["typesense","r"]],"v":{"r":"The agent evaluated external search engines (Meilisearch, Typesense, Elasticsearch) and client-side fuzzy libraries (Fuse.js) before deciding on SQLite FTS5 built into the pre-existing SQLite database (`better-sqlite3`). It implemented FTS5 virtual tables and trigram tokenization in SQL migrations and server code.","c":1,"e":[["file","migrations/003_workshop_search.sql"],["file","app/workshop-search.ts"],["file","app/db.server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sqlite-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"deploy","wave":3,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-e-63i","pid":"DPLY-PE-63i","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":506,"k":"8b6a190b-9b31-4722-bd67-17bb51da5e13-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":62,"picks":[["render","p"],["aws","r"],["cloudflare","r"],["fly-io","r"],["gcp","r"],["netlify","r"],["railway","r"],["vercel","r"]],"v":{"r":"The agent explicitly recommended Render, added a complete `render.yaml` Blueprint configuration, updated the server files (`server/index.mjs`, `server/db.mjs`) to handle Render health checks and pull request preview database switches, and documented Render deployment and rollback steps in `README.md`.","c":1,"e":[["file","render.yaml:1-33"],["file","README.md:21-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stream","secs":1279,"k":"8b7c464b-28eb-4e0d-9e2a-1e23f93e495f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":173,"picks":[["stream","p"],["ably","r"],["daily","r"],["livekit","r"],["supabase","r"],["twilio","r"],["agora","m"],["sendbird","m"]],"v":{"r":"The run chose Stream (both Stream Chat and Stream Video) to provide persistent in-app messaging and browser-based voice calls, installing the client and server SDKs and integrating them into the Nuxt application with server-enforced authentication and call authorization.","c":1,"e":[["file","package.json:17-22"],["file","server/utils/jobStream.ts:1-266"],["file","components/JobRealtime.client.vue:1-423"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":7,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"bc-search-prompt-c-07","pid":"SEARCH-PC-07b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"algolia","secs":1258,"k":"8bda4527-c643-48c9-bca9-69ab0b7fc710-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":143,"picks":[["algolia","p"],["elasticsearch","r"],["meilisearch","r"],["opensearch","r"],["typesense","r"]],"v":{"r":"The agent evaluated several search backends (Algolia, Typesense, Meilisearch, Elasticsearch, OpenSearch, and Postgres FTS) and recommended Algolia for its low operational overhead. Following the user's confirmation, it installed the `algoliasearch` library, configured indexing routines, built search endpoints and Vue UI components, created a backfill script, and updated configuration/tests.","c":1,"e":[["file","package.json"],["file","server/search/algolia.ts"],["file","server/api/search.get.ts"],["file","scripts/search-backfill.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-21","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-service-bus","secs":1977,"k":"8c691ce0-dade-47be-903b-f17191acd5f1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":173,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["rabbitmq","r"],["dapr","m"],["google-pubsub","m"],["masstransit","m"],["nservicebus","m"],["redis","m"]],"v":{"r":"The run evaluated message broker options within the Azure ecosystem and fully adopted Azure Service Bus Standard, provisioning infrastructure via Bicep and integrating the SDK via `Azure.Messaging.ServiceBus` with session processors and transactional outbox forwarding.","c":1,"e":[["file","infra/modules/service-bus.bicep:24-64"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusStockBus.cs:1-115"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-srvl-prompt-c-07","pid":"SRVL-PC-07a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":579,"k":"8c72c7a8-8a9d-45f4-9af4-d83d7805f142-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":52,"picks":[["render","p"],["azure-functions","m"],["fly","m"],["google-cloud-run","m"],["netlify-functions","m"],["railway","m"],["aws-lambda","r"],["cloudflare-workers","r"],["vercel-functions","r"]],"v":{"r":"The agent explicitly recommended and configured Render Cron Jobs for scheduled serverless execution of the daily billing sync. It created `render.yaml` with a cron service (`billing-sync`), implemented `src/billing-sync.js`, updated the README with full deployment instructions, and rejected heavier alternatives like AWS Lambda, Vercel, and Cloudflare Workers.","c":1,"e":[["file","render.yaml:12-26"],["file","README.md:26-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":7,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"voice-agents-marketplace","pid":"VAGT-MARKETPLACE-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai-voice-agent-builder","secs":1170,"k":"8c73efea-0dbb-4815-9b91-49fada7ad3e0-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":176,"picks":[["xai-voice-agent-builder","p"],["vapi","r"],["grok-voice-agent","m"],["plivo","m"]],"v":{"r":"The agent evaluated several voice AI options and recommended xAI Voice Agent Builder (running on Grok Voice). Upon user confirmation, it fully implemented the backend support, MCP server endpoint (/mcp), incoming call signature verification webhook, and agent prompt configuration specifically tailored for xAI Voice Agent Builder.","c":0.95,"e":[["file","README.md:47-75"],["file",".env.example:17-26"],["file","app/controllers/api/phone/calls_controller.rb:7-26"],["file","config/voice_agent_prompt.txt:1-49"],["trace","seq:43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai-voice-agent-builder"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":6,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qodo","secs":922,"k":"8c7529d1-eeb9-4f1a-b857-19e08d212af4-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":80,"picks":[["qodo","p"],["amazon-q-developer","m"],["coderabbit","m"],["reviewdog","m"],["semgrep","m"],["grok","m"]],"v":{"r":"The agent selected and fully implemented Qodo Merge / PR-Agent (pinned upstream container `pragent/pr-agent` digest) configured via `.pr_agent.toml`, `.github/workflows/pr-agent.yml`, and local wrapper scripts targeting an in-cluster self-hosted Ollama model to strictly comply with eu-west-1 residency requirements.","c":1,"e":[["file",".github/workflows/pr-agent.yml:1-55"],["file",".pr_agent.toml:1-73"],["file","review/Dockerfile:1-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"agent-runtime","wave":4,"date":"2026-09-21","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e4-cairnfold","pid":"CDNY-E4-CAIRNFOLD-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"langgraph","secs":1715,"k":"8c76e03a-c1dc-43e2-b94e-5d20df6273a7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":119,"picks":[["langgraph","p"],["langchain","c"],["autogen","m"],["crewai","m"],["mastra","m"],["mem0","m"],["microsoft-agent-framework","m"],["vercel-ai-sdk","m"],["zep","m"],["claude-agent-sdk","r"],["cursor-sdk","r"],["daytona","r"],["e2b","r"],["modal","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["cursor-cloud-agents","m"],["inngest","m"]],"v":{"r":"The run adopted LangGraph as its primary agent runtime framework (using `langgraph`, `langgraph-checkpoint-postgres` for durable checkpointer storage, and `langchain` for agent structure/middleware) to implement a Slack worker process connecting to the existing Go desk API.","c":0.95,"e":[["file","agent/pyproject.toml:14-15"],["file","agent/src/cairnfold_agent/graph.py:3-56"],["file","agent/src/cairnfold_agent/main.py:5-46"],["file","agent/pyproject.toml:13"],["file","agent/src/cairnfold_agent/graph.py:3-4"],["file","agent/src/cairnfold_agent/models.py:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-21","repo":"laravel-caseboard","variant":"base","family":"auth-junior","pid":"AUTH-2b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":812,"k":"8c9c207b-42b2-4969-bf25-b3967ac1b524-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":163,"picks":[["workos-authkit","p"],["okta","r"],["auth0","r"],["builtin","r","b"],["clerk","r"],["laravel-breeze","m"],["laravel-fortify","m"],["laravel-socialite","m"]],"v":{"r":"The run installed `laravel/workos` (^0.6.0) and implemented WorkOS AuthKit across controllers, middleware, models, database migrations, and environment configuration. It explicitly weighed Auth0, Clerk, Firebase Auth, Okta, and Fortify before selecting WorkOS.","c":1,"e":[["file","composer.json"],["file","app/Http/Controllers/AuthController.php"],["file",".env.example"],["trace","80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-21","repo":"insurance-collections-core","variant":"base","family":"bc-payments-prompt-b-04","pid":"PAY-PB-04b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":847,"k":"8cbd0a11-1584-403f-b392-0b45aeced4ca-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":79,"picks":[["stripe","p"],["adyen","r"],["braintree","r"]],"v":{"r":"The agent evaluated Stripe, Adyen, and Braintree, choosing Stripe. It installed the `Stripe.net` SDK, implemented Stripe Checkout Session creation and `/webhooks/stripe` webhook signature verification, and wired it directly into the application's reconciliation ledger.","c":1,"e":[["file","src/Northstar.Collections/Northstar.Collections.csproj:2"],["file","src/Northstar.Collections/StripeCollection.cs:1-173"],["file","src/Northstar.Collections/Program.cs:64-98"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-gateway","wave":6,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-aigw-prompt-c-06","pid":"AIGW-PC-06b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"openrouter","secs":1096,"k":"8cc6037f-b6f6-4a1a-9939-b6238cd608c9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["openrouter","p"]],"v":{"r":"The run chose OpenRouter as the AI gateway, implementing a dedicated client in `internal/summary/openrouter.go` that posts requests to `https://openrouter.ai/api/v1/chat/completions` using `OPENROUTER_API_KEY`.","c":1,"e":[["file","internal/summary/openrouter.go:16-17"],["file",".env.example:3"],["file","README.md:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"base","family":"aigw-senior-saas-analytics-mid","pid":"AIGW-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"portkey","secs":689,"k":"8cdecaf9-2178-41de-9bf9-2aae75ebebc4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":76,"picks":[["portkey","p"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["openrouter","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"]],"v":{"r":"The agent selected Portkey as the hosted AI gateway for dashboard narrative generation. It implemented the integration in `services/query/narratives.py` using Portkey's OpenAI-compatible API, configuring simple exact-match caching, provider fallback, and workspace-scoped metadata tags for cost attribution. Alternative hosted and proxy solutions (Vercel AI Gateway, Cloudflare AI Gateway, OpenRouter, LiteLLM, Helicone) were evaluated and rejected based on missing capabilities, ops burden, or stack mismatch.","c":1,"e":[["file","services/query/narratives.py:1-212"],["file","shared/config.py:39-46"],["file",".env.example:30-35"],["file","tests/test_narrative.py:1-220"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"landing-ai-ade","secs":921,"k":"8ce2e668-0b34-40d4-8262-03f81a51eb7e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":80,"picks":[["landing-ai-ade","p"],["abbyy-vantage","m"],["amazon-textract","r"],["azure-document-intelligence","r"],["google-document-ai","r"],["abbyy-flexicapture","m"]],"v":{"r":"The agent explicitly recommended LandingAI Agentic Document Extraction (ADE) deployed in tenant residency regions, and followed up by fully implementing a Java client (`HttpAdeClient`), model definitions (`AdeModels`), parsing/extraction pipelines, and grounding services (`ReferralIndexingService`, `FieldGrounder`). Competitors such as Amazon Textract, Google Document AI, and Azure AI Document Intelligence were evaluated in reasoning and rejected.","c":1,"e":[["file","src/main/java/com/marrowe/referrals/ade/HttpAdeClient.java:43-77"],["file","src/main/java/com/marrowe/referrals/ade/AdeModels.java:4-7"],["file","README.md:6-7"],["trace","80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["landing-ai-ade"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"deploy","wave":6,"date":"2026-09-22","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-e-66i","pid":"DPLY-PE-66i","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"railway","secs":699,"k":"8ce37493-23e1-45ce-af9f-ae26e2b76aaf-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":64,"picks":[["railway","p"],["fly-io","r"],["render","r"],["vercel","r"]],"v":{"r":"The agent explicitly recommended Railway for hosting the FastAPI application and implemented the deployment setup by adding railway.toml, CI workflows, and PR preview scripts. Other platforms (Render, Fly.io, Vercel) were weighed and rejected due to stack mismatch, cost, or operational complexity.","c":1,"e":[["file","railway.toml"],["file",".github/workflows/preview.yml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["railway"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":7,"date":"2026-09-22","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry-seer","secs":157,"k":"8ce4ecf6-17b5-4163-b347-c6c6ef027e53-r1","co":"grok-build47-capacity-20260922","ts":"bare","sandbox":"e2b","ev":22,"picks":[["sentry-seer","p"],["claude-code","m"]],"v":{"r":"The agent explicitly recommended Sentry Seer (Autofix) to meet the requirement of investigating errors using the repository's existing Sentry setup and automatically preparing code fixes. 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It evaluated and rejected commercial billing engines (Metronome, Orb, m3ter, Stripe Billing, Zuora, BillingPlatform, Lago, Kill Bill, Chargebee, Maxio).","c":1,"e":[["file","src/Halvorn.Metering.Api/Services/ContractRater.cs"],["file","src/Halvorn.Metering.Api/Services/InvoiceSealService.cs"],["file","src/Halvorn.Metering.Api/Services/RatingService.cs"],["file","src/Halvorn.Metering.Api/Endpoints/MeteringEndpoints.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"stor-junior-laravel-helpdesk","pid":"STOR-07a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1625,"k":"8d8d2fb3-d9e0-420a-b6c6-0b0c4876e2c7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":154,"picks":[["amazon-s3","p"],["backblaze-b2","m"],["digitalocean-spaces","m"],["cloudflare-r2","r"],["minio","r"]],"v":{"r":"The agent explicitly recommended Amazon S3, installed `league/flysystem-aws-s3-v3`, configured a private `attachments` S3 disk in `config/filesystems.php`, added AWS environment variables to `.env.example`, and wired ticket uploads and temporary signed download URLs into the application.","c":1,"e":[["file","composer.json"],["file","config/filesystems.php"],["file",".env.example"],["file","app/Providers/AppServiceProvider.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-21","repo":"k8s-platform-monorepo","variant":"base","family":"code-review-enterprise-vantorix","pid":"CR-VANTORIX-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":204,"k":"8e22b4c7-d0a5-4900-8177-a52a4d7a5827-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":51,"picks":[["cursor-bugbot","p"],["coderabbit","m"],["gemini-code-assist","m"],["greptile","m"],["danger","r"],["reviewdog","r"]],"v":{"r":"The agent explicitly recommended Cursor Bugbot to provide automated PR code reviews covering Go services and Helm configurations. 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It added the client code (`apps/api/src/notices/brave-news.ts`), worker task in AWS CDK (`infra/lib/api-stack.ts`), and documentation in `README.md` and `CLAUDE.md`.","c":1,"e":[["file","apps/api/src/notices/brave-news.ts:5-154"],["file","infra/lib/api-stack.ts:37-42"],["file","README.md:43-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"exa","secs":1383,"k":"96849929-2708-41ca-95f7-b4e65e40b915-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":135,"picks":[["exa","p"],["firecrawl","m"]],"v":{"r":"The agent evaluated various web search and scraping providers, recommended Exa for its semantic search and page content extraction capabilities, and implemented full integration in `lib/exa.ts` and `lib/gather.ts`.","c":1,"e":[["file","lib/exa.ts"],["file","lib/gather.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":6,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-panl-prompt-c-05","pid":"PANL-PC-05c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metabase","secs":1372,"k":"96fdcf0b-9599-4a2b-96c4-45acfe7e86a9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":141,"picks":[["metabase","p"],["posthog","r"],["grafana","m"],["looker","m"],["tableau","m"]],"v":{"r":"The agent configured and implemented a complete pipeline integrating checkout event streams with ClickHouse storage and deployed Metabase Enterprise as the primary product analytics dashboard platform.","c":1,"e":[["file","platform/helm/checkout-analytics/templates/metabase.yaml"],["file","platform/helm/checkout-analytics/scripts/bootstrap_metabase.py"],["file","platform/helm/checkout-analytics/values.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-search","wave":5,"date":"2026-09-22","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"exa","secs":1778,"k":"9703c0d1-9896-4cfe-96f4-b4471bf7aade-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":141,"picks":[["exa","p"],["anthropic-web-search","r"],["parallel","r"],["tavily","r"],["companies-house-api","m"]],"v":{"r":"The agent explicitly evaluated multiple web search/research APIs, recommended Exa Deep Search, documented the architectural and pricing comparison in docs/research-choice.md, and implemented the full integration in app/research.py and FastAPI endpoints.","c":1,"e":[["file","app/research.py:22"],["file","docs/research-choice.md:8"],["file","app/settings.py:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"bc-panl-prompt-c-03","pid":"PANL-PC-03c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":965,"k":"97162fde-8f8a-4855-87da-3b0e0a37e19f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":130,"picks":[["posthog","p"],["amplitude","r"],["fathom","r"],["google-analytics","r"],["looker-studio","r"],["metabase","r"],["mixpanel","r"],["plausible","r"],["looker","m"]],"v":{"r":"The agent evaluated several product analytics options (PostHog, Mixpanel, Amplitude, Metabase, GA4, Plausible, Fathom, Looker Studio) and definitively chose PostHog Cloud. It implemented the `posthog-ruby` gem, configured background tracking workers via Sidekiq, sanitization to remove PII, environment variable examples, and full integration test coverage.","c":1,"e":[["file","Gemfile:23-25"],["file","app/services/analytics.rb:1-100"],["file",".env.example:17-20"],["trace","item:25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"cloud","wave":5,"date":"2026-09-22","repo":"delivery-proof-service","variant":"base","family":"bc-clde-prompt-b-02","pid":"CLDE-PB-02b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws","secs":1489,"k":"971c8961-bca2-4784-849a-4b786b196dd3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":66,"picks":[["aws","p"],["azure","r"],["cloudflare","r"],["gcp","r"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent evaluated several cloud providers (AWS, Cloudflare, Google Cloud Platform, Microsoft Azure) and selected Amazon Web Services (S3 for object storage and SQS for queues), installing the official AWS SDK packages and writing production implementations.","c":1,"e":[["file","package.json"],["file","src/s3-proof-store.js"],["file","src/sqs-thumbnail-jobs.js"],["file","src/proof-resources.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"cloud","wave":4,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"clde-enterprise-edtech-lms","pid":"CLDE-06b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"gcp","secs":1606,"k":"97327f5b-4280-448b-9e5c-9f92352f0476-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":124,"picks":[["gcp","p","b"],["redis","m","b"]],"v":{"r":"The repository was already configured on Google Cloud Platform using Google Cloud Storage (GCS) and Celery on Redis. The run recommended and implemented direct uploads via GCS signed URLs into the existing media bucket and background execution via a dedicated Celery queue.","c":0.95,"e":[["file","apps/grading/storage.py:1-35"],["file","brightloom/settings.py:120-131"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"obs-logs-node-report-builder","pid":"OBS-LOG-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"axiom","secs":1195,"k":"97453d44-36f0-4a4d-8938-28a555e97fe3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":97,"picks":[["axiom","p"],["datadog","m"],["new-relic","m"],["pino","m"]],"v":{"r":"The agent selected Axiom as the centralized logging and alerting platform. It installed `@axiomhq/pino` and `pino`, created structured logging with request IDs across all processing stages, and implemented boot-time management API calls to upsert Axiom datasets, email notifiers, and threshold monitors.","c":1,"e":[["file","package.json"],["file","src/alerts.ts"],["file","src/logger.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["axiom"],"sk":0,"seam":"Log management","theme":"The plain ask"},{"cat":"usage-based-billing","wave":6,"date":"2026-09-22","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1281,"k":"9850bd2b-0cd2-4d7f-811e-f7b6bb0dfa2b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":98,"picks":[["metronome","p"],["diy","c","d"],["recurly","m"],["stripe-billing","m"]],"v":{"r":"The run chose Metronome as the third-party usage-based billing system for contract rating, commit tracking, price ramps, and invoice generation. 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It installed the official Laravel S3 Flysystem adapter (`league/flysystem-aws-s3-v3`), configured the S3 disk in `config/filesystems.php`, added AWS environment variables to `.env.example`, and implemented model and controller logic utilizing S3 signed URLs.","c":1,"e":[["file","composer.json"],["file","config/filesystems.php"],["file","app/Models/TicketAttachment.php"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e1-lumen","pid":"CDNY-E1-LUMEN-ck","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-workflow","secs":1679,"k":"98bb14e2-976e-4322-9b44-f636c310623d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":254,"picks":[["vercel-workflow","p"],["aws-step-functions","r"],["claude-agent-sdk","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["restate","r"],["temporal","r"],["trigger-dev","r"],["anthropic-managed-agents","m"],["crewai","m"],["daytona","m"],["e2b","m"],["microsoft-agent-framework","m"],["modal","m"],["pydantic-ai","m"],["vercel-ai-sdk","m"]],"v":{"r":"The agent evaluated several durable workflow and agent runtime systems (Temporal, Restate, Inngest, Trigger.dev, DBOS, LangGraph, Mastra, OpenAI Agents SDK, Claude Agent SDK, and AWS Step Functions) and chose Vercel Workflow (`workflow`). It installed `workflow`, wrapped `next.config.ts` with `withWorkflow`, wrote the durable refund workflow in `workflows/refund.ts`, and controlled hook suspensions and resumptions in `lib/refunds/control.ts`.","c":1,"e":[["file","next.config.ts:2"],["file","package.json:17"],["file","lib/refunds/control.ts:1"],["file","README.md:47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"sk":1,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"bc-stor-prompt-c-08","pid":"STOR-PC-08a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1279,"k":"98e4d823-9783-4f5c-b70f-1b2d9ec6b1e4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":149,"picks":[["amazon-s3","p"],["minio","m"],["cloudflare-r2","r"],["tigris","r"]],"v":{"r":"The run installed the AWS S3 SDK, configured presigned upload/download endpoints against an S3 bucket, and documented the IAM and CORS settings in README.md and fly.toml. Tigris and Cloudflare R2 were evaluated and rejected in trace reasoning in favor of keeping the existing S3 provider footprint.","c":1,"e":[["file","package.json:16-17"],["file","src/lib/server/images.ts:1-55"],["file",".env.example:9-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":4,"date":"2026-09-22","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"portabilling","secs":1276,"k":"995bdd34-af5e-4f4f-87e0-88de08f9b167-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":122,"picks":[["portabilling","p"],["cgrates","r"]],"v":{"r":"The agent explicitly recommended PortaBilling (by PortaOne) to handle rating, pricing catalog, and invoicing. 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It installed the module, configured lazy-loaded JSON catalogs for English, Dutch, and Polish, wired per-user locale loading through the session composable and database schema, and added `@intlify/eslint-plugin-vue-i18n` for key validation.","c":1,"e":[["file","nuxt.config.ts"],["file","package.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vue-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-21","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"temporal","secs":1473,"k":"9a5d9795-a282-4d6b-95d3-67c444889ba8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":198,"picks":[["temporal","p"],["amazon-sqs","r"],["apache-kafka","r"],["bullmq","r"],["cloud-tasks","r"],["cloudflare-queues","r"],["google-pubsub","r"],["graphile-worker","r"],["inngest","r"],["nats","r"],["pg-boss","r"],["redis","r"],["redpanda","r"],["svix","r"],["trigger-dev","r"],["upstash","r"],["vercel-workflow","r"],["amazon-eventbridge","m"],["amazon-sns","m"]],"v":{"r":"The agent explicitly recommended Temporal Cloud, installed the `@temporalio/*` SDKs, implemented workflows, activities, and schedules, updated the Fly worker to execute Temporal tasks, and wired route handlers to trigger Temporal workflows.","c":1,"e":[["file","package.json"],["file","lib/temporal/workflows.ts"],["file","lib/temporal/activities.ts"],["file","lib/temporal/client.ts"],["file","scripts/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":5,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"vector-v1","family":"vector-search-senior-small-team-repairs","pid":"VEC-REPAIRS-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aiven","secs":1216,"k":"9ade7993-bcc0-44e4-8fd7-dba5b99d107a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":129,"picks":[["aiven","p"],["pinecone","r"],["pgvector","m"]],"v":{"r":"The agent explicitly selected and configured Aiven for PostgreSQL with pgvector for storing and querying vector embeddings in aws-eu-north-1 (Stockholm), creating Drizzle migrations and embedding utilities. Dedicated vector databases (Pinecone, Qdrant, Weaviate), OpenAI Vector Stores, and keyword search engines (Meilisearch, Typesense) were considered and rejected with clear justifications.","c":1,"e":[["file",".env.example:2-5"],["file","README.md:19"],["file","drizzle/0001_repair_passages.sql:1-4"],["file","server/db/index.ts:6-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aiven"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"gdelt","secs":1168,"k":"9c14368e-0cc6-467e-a70b-add192170da6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":117,"picks":[["gdelt","p"],["mediastack","m"],["newscatcher","m"],["perigon","m"],["diffbot","r"],["newsapi","r"]],"v":{"r":"The agent evaluated various news and media search APIs and selected GDELT (GDELT Context 2.0 API). 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The run implemented student submission handling by generating signed v4 URLs against the existing private GCS media bucket and documented the security controls under FERPA.","c":0.95,"e":[["file","apps/grading/storage.py"],["file","docs/ferpa.md"],["trace","22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"evals","wave":9,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-07","pid":"EVAL-PB-07a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"phoenix","secs":989,"k":"9cb32e1e-ea90-40b3-abab-fc328851ebbd-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":101,"picks":[["phoenix","p"],["langfuse","r"],["langsmith","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The run evaluated multiple self-hosted and cloud LLM observability solutions (Langfuse, LangSmith, Helicone, Arize Phoenix) and recommended Arize Phoenix. After user approval, it fully integrated Arize Phoenix using openinference instrumentation and arize-phoenix-otel, adding configuration, Docker Compose services, and test coverage.","c":1,"e":[["file","deploy/phoenix/docker-compose.yml:1-45"],["file","app/tracing.py:1-108"],["file","pyproject.toml:15-16"],["file","README.md:82-157"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["phoenix"],"sk":0,"seam":"Tracing model calls","theme":"Self-hosting, privacy or residency"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"panl-vibe-nextjs-classbooking","pid":"PANL-10c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":830,"k":"9cb88272-e59a-45d7-a86a-2cf9fd8f3ec5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":96,"picks":[["posthog","p"],["apache-superset","r"],["evidence","r"],["fathom","r"],["google-analytics","r"],["grafana","r"],["lightdash","r"],["looker-studio","r"],["metabase","r"],["plausible","r"],["umami","r"],["vercel-analytics","r"],["heap","m"],["looker","m"]],"v":{"r":"The agent selected PostHog as the single product analytics solution. It installed `posthog-js`, implemented client-side anonymous tracking with class-level attributes, configured Next.js proxying to bypass blockers, and wrote database migrations to expose an `analytics` view and reader role for PostHog's Postgres data warehouse source.","c":1,"e":[["file","package.json:14"],["file","instrumentation-client.ts:1-22"],["file","components/TrackPageView.tsx:1-51"],["file","supabase/migrations/0004_posthog_reader.sql:1-23"],["file","README.md:26-58"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1545,"k":"9cbccafd-dd68-4243-b8bb-5a6c53e9f8fc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":90,"picks":[["azure-document-intelligence","p"],["abbyy","m"],["adobe-pdf-extract","r"],["amazon-textract","r"],["docling","r"],["extend","r"],["llamaparse","r"],["pdfplumber","r"],["reducto","r"],["unstructured","r"],["chunkr","m"],["easyocr","m"],["google-gemini","m"],["nanonets","m"],["tesseract","m"]],"v":{"r":"The agent selected and fully integrated Azure Document Intelligence prebuilt-layout API to extract multi-row header tables and OCR scanned documents. 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Alternatives (Adyen, Mollie, GoCardless) were explicitly considered in reasoning and rejected due to configuration complexity.","c":1,"e":[["file","apps/api/src/payments.js:1"],["file","package.json:1"],["file","README.md:2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"express-api","variant":"base","family":"bc-panl-prompt-b-01","pid":"PANL-PB-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"builtin","secs":792,"k":"9d10a889-4286-4705-b165-a1eb02b1752f-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":92,"picks":[["builtin","p","b"],["diy","c","d"],["metabase","r"],["posthog","r"]],"v":{"r":"The agent evaluated several analytics and dashboarding options (PostHog, Metabase, ClickHouse, Atlas Charts) and selected MongoDB Atlas Charts because the project already runs on MongoDB Atlas. 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It created a new Azure Functions project with a timer trigger, defined Bicep infrastructure resources, and configured Azure Pipelines deployment.","c":1,"e":[["file","src/Northmere.Billing.Functions/MonthlyInvoiceBatchFunction.cs:1-34"],["file","src/Northmere.Billing.Functions/Northmere.Billing.Functions.csproj:1-32"],["file","infra/main.bicep:95-172"],["file","azure-pipelines.yml:76-89"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-21","repo":"stockroom-receiving","variant":"base","family":"ocr-stockroom-receiving","pid":"OCR-STOCKROOM-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"bedrock-data-automation","secs":845,"k":"9db6ef9c-0e6c-4ba3-b8dc-81d109f3814e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":96,"picks":[["bedrock-data-automation","p"],["reducto","m"],["amazon-textract","r"],["google-document-ai","r"],["nanonets","r"],["rossum","r"],["tesseract","r"],["veryfi","r"],["google-gemini","m"],["hyperscience","m"]],"v":{"r":"The run evaluated multiple OCR/IDP solutions and committed to Amazon Bedrock Data Automation by installing @aws-sdk/client-bedrock-data-automation and @aws-sdk/client-bedrock-data-automation-runtime, defining a packing-slip blueprint schema, and implementing the extraction worker and orchestration pipeline.","c":0.95,"e":[["file","package.json"],["file","src/infra/bedrock-extractor.js"],["file","src/infra/ensure-automation.js"],["file","src/packing-slip-blueprint.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["bedrock-data-automation"],"sk":0,"theme":"Fits an existing data stack"},{"cat":"e-signature","wave":3,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"esign-junior-caseboard","pid":"SIGN-CASEBOARD-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"signwell","secs":1351,"k":"9de14f9f-9720-4641-8856-d24275d95b1d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":195,"picks":[["signwell","p"],["adobe-acrobat-sign","r"],["boldsign","r"],["documenso","r"],["docusign","r"],["dropbox-sign","r"],["pandadoc","r"]],"v":{"r":"The agent evaluated several e-signature vendors against the small-office Laravel application requirements, recommended SignWell based on API pricing and simplicity, and subsequently implemented the full integration with SignWell.","c":1,"e":[["file","app/Services/SignWellClient.php"],["file","config/services.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["signwell"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":1033,"k":"9dfc8ca3-9ae0-43b8-86e3-992448bbd7ad-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":96,"picks":[["retell-ai","p"],["bland-ai","r"],["openai-realtime","r"],["vapi","r"],["deepgram-voice-agent","m"],["livekit-agents","m"],["synthflow","m"],["twilio-conversationrelay","m"],["voiceflow","m"]],"v":{"r":"The run explicitly chose Retell AI to power the phone assistant for Clayfern Studio. It implemented webhook endpoints to handle tool calls and inbound webhook routing (`app/routes/api.phone.ts`, `app/routes/api.phone.inbound.ts`), implemented HMAC signature verification (`app/retell-signature.server.ts`), defined agent prompts and schemas (`app/phone-agent.ts`), added automated configuration scripts (`scripts/configure-retell.ts`), and documented setup instructions in the README.","c":1,"e":[["file","app/phone-agent.ts:1-225"],["file","app/retell-signature.server.ts:1-30"],["file","scripts/configure-retell.ts:1-94"],["file","README.md:31-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":1705,"k":"9e075b6e-5660-4eaa-b165-e58fb1074743-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":131,"picks":[["apple-mapkit","p","b"],["mapbox","m"],["maplibre","m"],["openstreetmap","m"]],"v":{"r":"The run adopted Apple Maps (MapKit) as the mapping solution for the iOS application, implementing MKMapView with custom MKTileOverlay and MKPolyline rendering for routes, and MKMapItem for launching turn-by-turn directions. OpenStreetMap was used to generate the offline tile dataset.","c":0.98,"e":[["file","Sources/Views/TrailMapView.swift:1-40"],["file","Sources/Map/MeetingPointDirections.swift:1-24"],["file","Sources/Map/TrailTileOverlay.swift:115-140"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-21","repo":"dotnet-supplier-contracts","variant":"base","family":"esign-junior-enterprise-bexmoor","pid":"SIGN-BEXMOOR-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"microsoft-esignature","secs":1001,"k":"9ea5d72b-5c25-4a07-9d46-8107d88db6cd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":108,"picks":[["microsoft-esignature","p","b"],["connective-esignatures","r"],["signatureapi","r"],["adobe-acrobat-sign","r"],["docusign","r"]],"v":{"r":"The run evaluated available e-signature options against the project's existing Microsoft 365 E5 and Azure infrastructure. It selected Microsoft 365 eSignature (native SharePoint eSignature) as the primary choice, updating the database entities, activation logic, API endpoints, migrations, and unit tests to enforce signed document completion in the SharePoint Supplier Agreements library before activating suppliers. Third-party options like Adobe Acrobat Sign, DocuSign, Connective eSignatures, and SignatureAPI were explicitly considered and rejected.","c":0.95,"e":[["file","src/Bexmoor.Suppliers.Api/Data/Entities/Agreement.cs:33-43"],["file","src/Bexmoor.Suppliers.Api/Services/AgreementService.cs:161-267"],["file","src/Bexmoor.Suppliers.Api/Migrations/20260921103000_RecordMicrosoft365ESignature.cs:1-37"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["microsoft-esignature"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-c-04","pid":"CLDE-PC-04b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare","secs":1175,"k":"9eb093bc-d672-4e2c-b5b8-687a75a1adc3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":154,"picks":[["cloudflare","p"],["aws","r"],["gcp","r"],["amazon-s3","m"],["amazon-sqs","m"],["vercel-blob","m"],["vercel-queues","m"]],"v":{"r":"The agent explicitly recommended and configured Cloudflare R2 for product media storage, creating the client in lib/media.ts using the S3-compatible SDK pointed at the R2 endpoint, updating .env.example, README.md, and next.config.mjs to bypass Next.js image optimization in favor of direct R2 serving. Alternatives from AWS and GCP were analyzed and rejected primarily due to data egress costs.","c":0.95,"e":[["file","lib/media.ts"],["file",".env.example"],["file","README.md"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-21","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-bedrock-agentcore-gateway","secs":1868,"k":"9f00b16e-f3f3-4c79-b4fc-1ae34925551e-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":241,"picks":[["amazon-bedrock-agentcore-gateway","p"]],"v":{"r":"The agent evaluated MCP gateway architectures and committed fully to Amazon Bedrock AgentCore Gateway. It implemented the gateway configuration in Terraform (resources `aws_bedrockagentcore_gateway`, `aws_bedrockagentcore_policy_engine`, `aws_bedrockagentcore_gateway_target`, `aws_bedrockagentcore_policy`), wrote Cedar authorization policies, created a request/response interceptor Lambda, and integrated the target MCP services.","c":1,"e":[["file","platform/terraform/org-mcp/main.tf"],["file","platform/terraform/org-mcp/policies.tf"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock-agentcore-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e1-bramwick","pid":"CDNY-E1-BRAMWICK-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"dbos-transact","secs":2723,"k":"9f592bec-fa62-43bd-9608-e579ba419ede-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":305,"picks":[["dbos-transact","p"],["crewai","m"],["daytona","m"],["e2b","m"],["modal","m"],["openai-agents-sdk","m"],["cursor-cloud-agents","r"],["cursor-sdk","r"],["inngest","r"],["langgraph","r"],["temporal","r"],["aws-step-functions","m"],["langgraph-platform","m"]],"v":{"r":"The run adopted DBOS (`dbos==2.31.0`) as its agent workflow runtime, adding a dedicated background worker, queue partition concurrency, human sign-off handling via `DBOS.recv`, step retries with idempotency keys, and crash recovery. It extensively evaluated and rejected Temporal, Restate, Inngest, Hatchet, LangGraph, and Cursor SDK/Cloud Agents with specific architectural justifications.","c":0.95,"e":[["file","requirements.txt:12"],["file","crm/agent/workflow.py:1-273"],["file","crm/agent/worker.py:1-84"],["file","crm/agent/client.py:1-83"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":4,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"databases-junior","pid":"DB-2a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"neon","secs":981,"k":"9fa3832f-b07c-4df4-9968-d8acb834a227-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":58,"picks":[["neon","p"],["supabase","m"],["postgres","m"]],"v":{"r":"The agent explicitly recommended and configured Neon Serverless Postgres (in AWS Europe Frankfurt) across .env.example, README.md, and app.py, using psycopg and psycopg_pool to manage persistent connection handling and schema constraints.","c":1,"e":[["file",".env.example:4-8"],["file","README.md:3-4"],["file","README.md:15-18"],["file","app.py:3-6"],["file","app.py:23-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-21","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1593,"k":"9fa38621-6ed1-468e-bf5f-cc690e75d8d6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":146,"picks":[["diy","p","d"],["chargebee","r"],["kill-bill","r"],["lago","r"],["metronome","r"],["orb","r"],["stripe-billing","r"],["zuora","r"],["cerillion","m"],["recurly","m"]],"v":{"r":"The agent thoroughly evaluated third-party and open-source usage billing platforms (Stripe Billing, Metronome, Lago, Orb, Chargebee, Zuora, and Kill Bill), explicitly rejected each with grounded architectural and compliance reasons, and implemented a complete custom DIY rating, prepaid ledger, and monthly invoice generation engine directly in the repository.","c":1,"e":[["file","app/Services/CustomerRateCard.php"],["file","app/Services/Billing.php"],["file","app/Services/InvoiceStatement.php"],["file","app/Services/InvoiceCsv.php"],["file","app/Services/BillingPage.php"],["file","app/Console/Commands/ExportInvoices.php"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1464,"k":"9fd035b6-2a8a-4b26-890a-929dc3dc7b81-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":223,"picks":[["diy","p","d"],["apache-kafka","r"],["rabbitmq","r"],["google-memorystore","m"],["google-pubsub","m"]],"v":{"r":"The run evaluated message brokers (Kafka, Redpanda, NATS, RabbitMQ, SQS) and explicitly opted to build a DIY transactional outbox and event log system on top of the pre-existing PostgreSQL database. 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It selected Retell AI, providing full configuration files (prompt.txt, tools.json), HMAC webhook signature verification, and Next.js route handlers for lookup, booking, and cancellation.","c":1,"e":[["file",".env.example:11-13"],["file","app/api/voice/[tool]/route.ts:1-58"],["file","lib/retell-signature.ts:1-69"],["file","retell/prompt.txt:1-22"],["file","retell/tools.json:1-124"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"esign-senior-cedarline","pid":"SIGN-CEDARLINE-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"dropbox-sign","secs":1409,"k":"a01f6a74-c21f-42aa-aa9c-5ff5457ff65e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":156,"picks":[["dropbox-sign","p"],["adobe-acrobat-sign","r"],["boldsign","r"],["documenso","r"],["docuseal","r"],["docusign","r"],["opensign","r"],["pandadoc","r"],["signwell","r"]],"v":{"r":"The agent evaluated several third-party and self-hosted electronic signature products (DocuSign, Adobe Acrobat Sign, PandaDoc, SignWell, BoldSign, DocuSeal, Documenso, OpenSign) and committed to Dropbox Sign. It fully implemented Dropbox Sign client logic, webhook callback handlers, database migrations, Active Storage integration, views, and test suites.","c":1,"e":[["file","app/services/dropbox_sign_client.rb"],["file","app/controllers/dropbox_sign_events_controller.rb"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dropbox-sign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-21","repo":"nextjs-storefront","variant":"ai-sre-v1","family":"ai-sre-vibe-coder-storefront","pid":"SRE-STOREFRONT-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-cloud-agents","secs":746,"k":"a0288298-514c-4d2e-a679-556f8a9f2bcd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":85,"picks":[["cursor-cloud-agents","p"]],"v":{"r":"The agent selected and implemented Cursor Cloud Agents via the `@cursor/sdk` TypeScript SDK, adding an endpoint at `/api/webhooks/sentry` that receives Sentry error alerts, formats the diagnostic context, and triggers a cloud agent to generate automated fix pull requests.","c":1,"e":[["file","package.json"],["file","lib/fix-agent.ts"],["file","app/api/webhooks/sentry/route.ts"],["file","docs/monitoring.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-cloud-agents"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01e","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mindee","secs":1642,"k":"a03db8a4-077e-4e44-a3dc-284ca221072d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":132,"picks":[["mindee","p"],["abbyy","r"],["docparser","r"],["rossum","r"],["tesseract","r"],["affinda","m"],["hyperscience","m"],["klippa","m"],["nanonets","m"],["veryfi","m"]],"v":{"r":"The agent evaluated several document extraction and OCR options against requirements for schema variance, confidence scoring, and low operational overhead. It selected and implemented Mindee's extraction and classification APIs with a custom certainty-gating filter in the Laravel backend.","c":1,"e":[["file","app/Services/Mindee/MindeeClient.php"],["file","config/services.php"],["file",".env.example"],["file","app/Jobs/ReadTicketAttachment.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mindee"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-service-bus","secs":2725,"k":"a049fc7a-3ae1-4dda-a1d2-256b43798f0f-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":251,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["dapr","r"],["masstransit","r"],["nservicebus","r"],["rabbitmq","r"],["redis","r"],["confluent","m"],["google-memorystore","m"],["google-pubsub","m"]],"v":{"r":"The agent explicitly evaluated message queuing options, recommended Azure Service Bus Standard with sessions and duplicate detection combined with a transactional outbox, and fully implemented it across the Bicep templates, C# domain/API code, and test suite.","c":1,"e":[["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj:3"],["file","infra/modules/service-bus.bicep:1-49"],["file","src/Stonebridge.Stock.Api/Events/AzureServiceBusBroker.cs:1-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":5,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"django-i18n","secs":1941,"k":"a04ba790-44b0-400e-8667-a39efda8e028-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":216,"picks":[["django-i18n","p","b"],["gettext","m"],["crowdin","r"]],"v":{"r":"The repository is a Django monolith. The agent chose and fully implemented Django's built-in internationalization system (`django.utils.translation`, `USE_I18N = True`, `LOCALE_PATHS`, template tags, custom language middleware, and management commands) along with GNU gettext tooling for extraction and CI validation.","c":0.95,"e":[["file","brightloom/settings.py"],["file","brightloom/middleware.py"],["file","apps/roster/languages.py"],["file","templates/base.html"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":7,"date":"2026-09-22","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1751,"k":"a0596e98-90e3-4f04-bd9a-d5e67b031b71-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":100,"picks":[["diy","p","d"],["kill-bill","m"],["chargebee","r"],["lago","r"],["metronome","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent explicitly evaluated third-party billing engines (Stripe Billing, Orb, Metronome, Lago, Chargebee) and rejected them because the platform's commercial model requires cost-plus margin rating based on external provider cost sheets, out-of-order run windowing, and flexible unit models. It implemented a custom in-house double-entry ledger and rating engine directly in TypeScript and Prisma/PostgreSQL.","c":0.95,"e":[["file","src/billing/service.ts"],["file","src/billing/rate.ts"],["file","src/billing/entries.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":6,"date":"2026-09-22","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1854,"k":"a0b23d70-b4ad-4cc6-acea-dd705b344367-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":81,"picks":[["diy","p","d"],["chargebee","r"],["kill-bill","r"],["lago","r"],["metronome","r"],["oracle-brm","r"],["orb","r"],["recurly","r"],["stripe-billing","r"],["cerillion","m"],["cgrates","m"],["optiva","m"],["portabilling","m"]],"v":{"r":"The run evaluated multiple usage-based billing products (Stripe Billing, Lago, Orb, Metronome, Kill Bill, Oracle BRM, etc.) and explicitly rejected them due to telecom-specific rating requirements (arrival-order pool drawing, 24-hour pass clocks, high CDR volume, and call-level dispute exports). The agent explicitly recommended and implemented a custom rated-call ledger and invoicing engine in Python/Django on top of PostgreSQL.","c":1,"e":[["file","billing/rating.py:1-554"],["file","billing/invoicing.py:1-335"],["file","billing/models.py:102-346"],["file","billing/exporting.py:1-79"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-21","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mistral-ocr","secs":1096,"k":"a0c4ecfb-6637-45ac-b534-6658bb90286d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["mistral-ocr","p"],["amazon-textract","r"],["extend","r"],["google-gemini","r"],["llamaparse","r"],["openai-models","r"],["reducto","r"],["tesseract","r"],["anthropic-claude","m"],["pdfjs","m"],["sensible","m"]],"v":{"r":"The agent conducted a detailed comparison across document processing APIs and OCR models against budget and citation requirements, selected Mistral OCR 4.1 (mistral-ocr-4-1), and implemented it in code with deterministic grounding and quote verification.","c":1,"e":[["file","src/contracts/mistral.ts"],["file","src/contracts/read.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mistral-ocr"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-21","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"solvimon","secs":1004,"k":"a0c8c15c-4bea-489d-a2c2-3e1a4aa682c2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":83,"picks":[["solvimon","p"],["amberflo","r"],["chargebee","r"],["flexprice","r"],["kill-bill","r"],["lago","r"],["m3ter","r"],["maxio","r"],["metronome","r"],["openmeter","r"],["orb","r"],["recurly","r"],["schematic","r"],["stigg","r"],["stripe-billing","r"],["zuora","r"]],"v":{"r":"The agent evaluated several usage-based billing vendors against the repository's hard requirements (EU data residency, SEPA bank transfers, high-volume overage pricing, complex enterprise scale contracts, and low operational overhead for a small team). It recommended Solvimon and implemented a full Go client integrating Solvimon's batch meter ingest API into the edge proxy, replacing in-memory quota 429 cutoffs with overage event ingestion.","c":1,"e":[["file","internal/solvimon/client.go:1-168"],["file","cmd/proxy/main.go:39-48"],["file","README.md:39-72"],["trace","seq:24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["solvimon"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"deploy","wave":3,"date":"2026-09-21","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-e-65i","pid":"DPLY-PE-65i","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare","secs":296,"k":"a0d76088-1bee-4a90-a952-67229bc1951d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":28,"picks":[["cloudflare","p"],["aws","r"],["fly-io","r"],["github-pages","r"],["netlify","r"],["railway","r"],["render","r"],["vercel","r"]],"v":{"r":"The agent evaluated several hosting alternatives and committed to Cloudflare Pages. It wrote a `wrangler.jsonc` configuration file and created `.github/workflows/pages-deployment.yaml` leveraging `cloudflare/wrangler-action` to handle main branch production deploys and pull request preview deploys.","c":1,"e":[["file",".github/workflows/pages-deployment.yaml:1-39"],["file","wrangler.jsonc:1-5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":6,"date":"2026-09-22","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1504,"k":"a0dc4457-664f-415d-a1a1-c9c6381da7f3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":116,"picks":[["google-gemini","p"],["klippa","m"],["taggun","m"],["amazon-textract","r"],["mindee","r"],["openai-models","r"],["veryfi","r"],["tabscanner","m"]],"v":{"r":"The agent evaluated several document processing products (Amazon Textract, Google Document AI, Veryfi, Mindee, OpenAI, and Google Gemini) and explicitly selected Google Gemini (specifically gemini-3.8-flash on Vertex AI). It implemented the reader in `app/receipts/gemini.py`, wired it into `app/receipts/read.py`, updated configuration, schema, and added extensive unit tests.","c":1,"e":[["file","app/receipts/gemini.py"],["file","app/receipts/read.py:34-37"],["file",".env.example:5-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"search-scale-senior-nuxt-c","pid":"SEARCH-SCALE-SENIOR-NUXT-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"typesense","secs":1162,"k":"a0f79bd6-22de-412d-97d1-da0a554b3158-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":138,"picks":[["typesense","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["opensearch","r"],["postgres-fts","r","b"]],"v":{"r":"The agent explicitly recommended Typesense (via Typesense Cloud), installed the `typesense` npm package, configured the client in `server/utils/search.ts`, created search schemas/collections, implemented continuous upserting hooks on job/customer/note mutations, created a reindex script, and integrated search UI in `SearchBox.vue` and `CustomerPicker.vue`.","c":1,"e":[["file","package.json"],["file","server/utils/search.ts"],["file","server/api/search.get.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"vector-v1","family":"vector-search-senior-small-team-repairs","pid":"VEC-REPAIRS-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":1034,"k":"a12740db-5f96-4585-b212-576e0461d5a4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":143,"picks":[["neon","p"],["aiven","m"],["azure-ai-search","m"],["meilisearch","m"],["typesense","m"],["pinecone","r"],["qdrant","r"],["weaviate","r"],["elastic","m"],["google-cloud-sql","m"],["pgvector","m"]],"v":{"r":"The agent explicitly recommended Neon with pgvector (hosted in Frankfurt aws-eu-central-1) paired with OpenAI text-embedding-3-small, and implemented the pgvector schema migration, Drizzle definitions, sync hooks, and search endpoints.","c":0.95,"e":[["file",".env.example:2-5"],["file","drizzle/0001_job_passages.sql:1-25"],["file","server/db/schema.ts:75-94"],["trace","25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":5,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"sandboxes-managed-data-python","pid":"SBX-MANAGED-DATA-PY-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":1467,"k":"a14653cd-7c94-4bd2-98cf-ccc840a7b8ad-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":147,"picks":[["e2b","p"],["gvisor","m"],["aws-lambda","r"],["daytona","r"],["firecracker","r"],["modal","r"],["vercel-sandbox","r"]],"v":{"r":"The agent fully implemented E2B using the official Python SDKs (`e2b` and `e2b-code-interpreter`), modifying dependencies, configuration, API endpoints, error handling, and unit test doubles. Other sandbox alternatives were systematically evaluated and rejected.","c":1,"e":[["file","pyproject.toml"],["file","app/sandbox.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"resend","secs":1269,"k":"a16a5405-abfd-4b43-b3ff-947ad736623e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":155,"picks":[["resend","p"],["mailgun","r"],["sendgrid","r"],["smtp","r"]],"v":{"r":"The agent explicitly chose Resend, installed the official `resend` npm package, implemented class reminder batch sends in `lib/email/send-reminders.ts`, configured webhook verification in `app/api/email/resend/route.ts`, and added delivery history tracking in Supabase.","c":1,"e":[["file","package.json"],["file","lib/email/send-reminders.ts"],["file","app/api/email/resend/route.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"stor-enterprise-dotnet-utility-billing","pid":"STOR-02b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-blob-storage","secs":869,"k":"a2508810-7a98-423b-919f-298d9d7eaa94-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":89,"picks":[["azure-blob-storage","p"],["amazon-s3","r"],["google-cloud-storage","r"]],"v":{"r":"The user requested an object storage recommendation to store customer invoice copies. The agent recommended Azure Blob Storage to fit the existing Azure App Service and SQL architecture, and subsequently implemented the solution using the Azure.Storage.Blobs SDK, Bicep infrastructure provisioning, and application endpoints.","c":1,"e":[["file","Directory.Packages.props"],["file","infra/main.bicep"],["file","src/Northmere.Billing.Api/Services/InvoiceDocumentStore.cs"],["file","src/Northmere.Billing.Api/Program.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"srvl-junior-helpdesk-billing-starter","pid":"SRVL-07a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"trigger-dev","secs":570,"k":"a261c9df-04dd-4667-bbae-e17a28b09a4f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":92,"picks":[["trigger-dev","p"],["aws-lambda","r"],["cloudflare-workers","r"],["google-cloud-run","r"],["inngest","r"],["vercel-functions","r"],["azure-functions","m"],["deno-deploy","m"],["fly","m"],["modal","m"],["netlify-functions","m"],["railway","m"],["render","m"],["upstash-qstash","m"]],"v":{"r":"The agent evaluated multiple serverless function platforms (Trigger.dev, Inngest, Vercel Functions, Cloudflare Workers, AWS Lambda, Google Cloud Functions, Google Cloud Run) against requirements for scheduling and automatic retries. It committed fully to Trigger.dev by installing `@trigger.dev/sdk`, configuring `trigger.config.mjs`, implementing `trigger/daily-billing-sync.js`, adding setup documentation in README.md, and updating .env.example.","c":1,"e":[["file","package.json"],["file","trigger.config.mjs"],["file","trigger/daily-billing-sync.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":872,"k":"a26efa6a-a3da-4201-8eb6-64805303eaa2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":91,"picks":[["retell-ai","p"],["bland-ai","r"],["elevenlabs-agents","r"],["openai-realtime","r"],["synthflow","r"],["twilio-conversationrelay","r"],["vapi","r"]],"v":{"r":"The agent proposed and fully implemented Retell AI to power the phone assistant for Clayfern Studio. It created setup scripts (`scripts/setup-voice.ts`), prompt and agent configurations (`app/voice-agent.ts`), webhook endpoints with Retell signature validation (`app/routes/voice.schedule.ts` and `app/routes/voice.book.ts`), and voice testing scripts.","c":1,"e":[["file","app/voice-agent.ts:1-111"],["file","app/routes/voice.book.ts:1-59"],["file","scripts/setup-voice.ts:1-65"],["file",".env.example:1-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":159,"k":"a2862529-1bec-4d3f-b2e2-b35097a17c03-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":35,"picks":[["diy","p","d"],["algolia","r"],["meilisearch","r"],["mysql-fulltext","r","b"],["typesense","r"]],"v":{"r":"The agent evaluated dedicated search engines (Meilisearch, Algolia, Typesense) and MySQL FULLTEXT, but explicitly rejected them in favor of a hand-written Eloquent SQL LIKE implementation integrated directly into `TicketController.php`.","c":1,"e":[["file","app/Http/Controllers/TicketController.php:20-33"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"sandboxes","wave":4,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-data-node","pid":"SBX-MANAGED-DATA-NODE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":1555,"k":"a2ae2389-f45f-423d-87f8-ff5b0881fbfb-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":123,"picks":[["e2b","p"],["firecracker","m"],["aws-lambda","r"]],"v":{"r":"The run evaluated remote sandbox solutions and committed cleanly to E2B by adding `e2b` to `package.json`, implementing full sandbox creation, command execution, and lifecycle cleanup in `src/sandbox.ts`, and adding comprehensive test coverage.","c":0.95,"e":[["file","package.json"],["file","src/sandbox.ts"],["file","tests/transform.test.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"Self-hosting, privacy or residency"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-21","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"ibm-contextforge","secs":1419,"k":"a2bb863c-e79d-4010-89ec-e0f6187c43b8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":172,"picks":[["ibm-contextforge","p"],["agentgateway","m"],["truefoundry-mcp-gateway","m"],["obot","r"],["composio","m"],["envoy-ai-gateway","m"],["port","m"]],"v":{"r":"The run evaluated multiple MCP gateways and selected IBM ContextForge (mcp-context-forge), implementing its Helm chart deployment, ArgoCD application configuration, upstream service integration, and OPA policy filters.","c":1,"e":[["file","platform/argocd/apps/contextforge.yaml"],["file","platform/helm/contextforge/values.yaml"],["file","platform/argocd/project-mcp.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ibm-contextforge"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-auth-prompt-c-05","pid":"AUTH-PC-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"auth0","secs":1075,"k":"a2bf644e-fe32-4ee0-ae49-11c45e76938a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":73,"picks":[["auth0","p"],["zitadel","a"],["clerk","r"],["supabase-auth","r"],["authentik","m"],["fusionauth","m"],["google-identity","m"],["google-identity-platform","m"],["keycloak","m"],["logto","m"],["okta","m"],["ory-network","m"],["ping","m"],["stytch","m"],["supertokens","m"],["workos-authkit","m"]],"v":{"r":"The agent evaluated several managed authentication providers for a Go server-rendered application. It selected and implemented Auth0 using standard OIDC authorization code flow with PKCE, adding configuration, OIDC client logic, encrypted session cookies, middleware, tests, and documentation.","c":1,"e":[["file",".env.example:3-6"],["file","internal/auth/auth.go:1-120"],["file","cmd/server/main.go:35-39"],["trace","seq:50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"bc-aigw-prompt-b-07","pid":"AIGW-PB-07b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"portkey","secs":477,"k":"a2f75649-b194-4251-b2f4-d428d417d2cc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":67,"picks":[["portkey","p"],["braintrust","m"],["kong-ai-gateway","m"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["openrouter","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"]],"v":{"r":"The user requested routing LLM calls through a hosted AI gateway for contract summarization with caching, fallback, and cost tracking. The agent evaluated multiple options (Cloudflare AI Gateway, Helicone, LiteLLM, OpenRouter, Vercel AI Gateway, Portkey) and implemented Portkey using the official `portkey-ai` library, OpenAI SDK base URL routing, configuration IDs, and metadata headers.","c":1,"e":[["file","app/summarize.py:1-88"],["file","requirements.txt:28"],["file","app/config.py:21-25"],["file","terraform/ecs.tf:134-135"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-21","repo":"go-fleet","variant":"ai-sre-v1","family":"ai-sre-senior-small-team-fleet","pid":"SRE-FLEET-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"resolve-ai","secs":419,"k":"a2f96b3c-1732-4e51-9c92-af1a09ed64f6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":43,"picks":[["resolve-ai","p"],["cleric","m"],["cursor-cloud-agents","m"],["traversal","m"],["gemini-cloud-assist","m"]],"v":{"r":"The agent evaluated several AI SRE tools and explicitly selected Resolve AI. It configured Resolve AI in Terraform (`ops/monitoring/main.tf`), including IAM viewer roles, Workload Identity Federation credentials, and a Cloud Monitoring alert webhook notification channel, updating documentation in `docs/monitoring.md`.","c":1,"e":[["file","ops/monitoring/main.tf:9-95"],["file","ops/monitoring/terraform.tfvars.example:3-6"],["file","docs/monitoring.md:7-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-21","repo":"flask-shiftplanner","variant":"base","family":"bc-databases-prompt-c-05","pid":"DB-PC-05a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":579,"k":"a2ff67ba-bdd4-4dd0-afe0-4601f2442be3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":44,"picks":[["neon","p"],["turso","m"],["sqlite","a","b"],["supabase","r"],["aiven","m"],["cockroachdb","m"],["google-cloud-sql","m"],["postgres","m"],["redis","m"]],"v":{"r":"The run initially proposed SQLite, but upon being asked for a hosted database recommendation, selected Neon. The run then fully implemented the Neon integration using psycopg3, updated the README and .env.example, and wired database schemas and triggers in app.py.","c":1,"e":[["file",".env.example:5-8"],["file","README.md:3-4"],["file","app.py:3-5"],["file","requirements.txt:10-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":12,"date":"2026-09-22","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e1-halverstock","pid":"CDNY-E1-HALVERSTOCK-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":2786,"k":"a3282e5e-f56e-4b9f-9f16-07e0b4e2c40b-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":277,"picks":[["langchain4j","p"],["temporal","p"],["daytona","r"],["dbos-transact","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["modal","r"],["claude-agent-sdk","m"],["crewai","m"],["openai-agents-sdk","m"],["spring-ai","m"]],"v":{"r":"The run evaluated several durable workflow and AI agent platforms (Temporal, DBOS Transact, Restate, Inngest, LangGraph, E2B, Modal, Daytona) and explicitly implemented Temporal (using the Java SDK for long-running workflows with human approval signals) alongside LangChain4j (for model routing and tool invocation).","c":0.95,"e":[["file","pom.xml:80-100"],["file","src/main/java/com/halverstock/timesheets/agent/LangChainModelClientFactory.java:1-83"],["file","src/main/java/com/halverstock/timesheets/agent/ReviewTools.java:1-149"],["file","pom.xml:70-79"],["file","src/main/java/com/halverstock/timesheets/agent/TimesheetWorkflowImpl.java:1-67"],["file","src/main/java/com/halverstock/timesheets/agent/AgentGateway.java:1-286"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langchain4j","temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01d","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1197,"k":"a3453e90-6527-4c63-96fc-d7f48d40c9ee-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":96,"picks":[["azure-document-intelligence","p"],["amazon-textract","r"],["mindee","r"],["taggun","r"],["veryfi","r"],["openai-models","m"]],"v":{"r":"The agent evaluated several document processing tools (Azure Document Intelligence, Amazon Textract, Google Document AI, Mindee, Veryfi, Taggun) and explicitly recommended and implemented Azure Document Intelligence's prebuilt-invoice model.","c":1,"e":[["file",".env.example"],["file","server/read-invoice.mjs"],["file","server/index.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":10,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e4-lumen","pid":"CDNY-E4-LUMEN-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"eve","secs":877,"k":"a35e0804-7c07-4519-8284-3be608ec1fbb-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":110,"picks":[["eve","p"],["anthropic-managed-agents","r"],["cloudflare-agents","r"],["crewai","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["microsoft-agent-framework","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["vercel-ai-sdk","r"],["e2b","m"],["langchain","m"],["vercel-workflow","m"]],"v":{"r":"The agent explicitly recommended deploying the Slack agent on 'eve' (eve.dev), an agent runtime framework built on Vercel Workflows and Sandboxes. It implemented the necessary integration layer in this repository (Supabase Bearer token support, Slack linking endpoints, and OpenAPI operation IDs) while keeping the agent runtime in a separate eve deployment. Several alternative runtimes (LangGraph, Mastra, Vercel AI SDK, OpenAI Agents SDK/API, Claude Managed Agents, Cloudflare Agents, Pydantic AI, etc.) were evaluated and rejected.","c":0.95,"e":[["trace","48"],["trace","53"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["eve"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":4,"date":"2026-09-22","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"paraglide","secs":1062,"k":"a3c40124-e0cc-4ade-bf73-3a8b1fa91a9b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":162,"picks":[["paraglide","p"]],"v":{"r":"The agent evaluated internationalization tools suited for SvelteKit 2 and Svelte 5, explicitly rejected svelte-i18n, and fully implemented Paraglide JS (`@inlang/paraglide-js`) with message catalogs and cookie-based locale resolution.","c":1,"e":[["file","package.json:12-16"],["file","project.inlang/settings.json:1-12"],["file","src/hooks.server.ts:1-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":6,"date":"2026-09-22","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e2-cairnfold","pid":"CDNY-E2-CAIRNFOLD-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"temporal","secs":4143,"k":"a3eacb33-0d4f-4079-8d3e-dfb84c38104e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":192,"picks":[["temporal","p"],["claude-agent-sdk","r"],["copilotkit","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["microsoft-agent-framework","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["vercel-ai-sdk","r"],["daytona","m"],["e2b","m"],["langchain","m"],["llamaindex","m"],["modal","m"]],"v":{"r":"The agent selected Temporal as the primary agent runtime framework to execute durable workflows for assistant turns and human approvals. It implemented the workflow and activity definitions in Go using `go.temporal.io/sdk`, created a dedicated worker process, and wired the web server to start and signal workflows.","c":1,"e":[["file","go.mod:8-9"],["file","internal/assistant/workflow.go:1-126"],["file","cmd/worker/main.go:35-57"],["trace","33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-21","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01e","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1156,"k":"a412d307-d48e-466e-9e8f-99933de41f82-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":63,"picks":[["google-gemini","p"],["azure-document-intelligence","r"],["zuva","r"],["anthropic-claude","m"],["docling","m"],["extend","m"],["hyperscience","m"],["instabase","m"],["llamaparse","m"],["mindee","m"],["nanonets","m"],["reducto","m"],["rossum","m"],["tesseract","m"],["unstructured","m"]],"v":{"r":"The agent evaluated several document extraction tools (Zuva, Azure Document Intelligence, Gemini) against the project's budget and unstructured notice window requirements. 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Alternatives like AWS Lambda and Inngest were reviewed in trace reasoning and rejected.","c":1,"e":[["file","vercel.json"],["file","nuxt.config.js:10-15"],["file","server/api/cron/invoice-reminders.get.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1838,"k":"a4cc2c7b-a1e8-4685-8045-257952270cbf-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":108,"picks":[["amazon-textract","p"],["abbyy","r"],["docparser","r"],["nanonets","r"],["rossum","r"],["veryfi","r"],["google-gemini","m"],["hyperscience","m"],["openai-models","m"]],"v":{"r":"The agent conducted a thorough market comparison across cloud IDP platforms and specialized freight document processing solutions before selecting and implementing Amazon Textract. 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products (Cloudflare AI Gateway, Vercel AI Gateway, LiteLLM, Helicone, Portkey) and frameworks (Vercel AI SDK, LangChain), explicitly selected OpenRouter as the best fit for the minimal Fly.io setup, and implemented the full integration in src/lib/server/cleanup.ts.","c":1,"e":[["file","src/lib/server/cleanup.ts:1-118"],["file",".env.example:9-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"communication-v1","family":"in-app-communication-vibe-coder-classes","pid":"COMM-CLASSES-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"supabase","secs":679,"k":"a5ca5c4a-bd5d-4716-afae-23de8f87b318-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":75,"picks":[["supabase","p","b"],["ably","r"],["pusher","r"],["sendbird","r"],["stream","r"],["twilio","r"]],"v":{"r":"The agent leveraged the pre-existing Supabase backend in the project, creating a new `messages` table with RLS and publishing it via Supabase Realtime (`postgres_changes` on the client). 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The agent explicitly recommended against using external serverless platforms (such as AWS Lambda, Google Cloud Run, Cloud Functions, and Vercel) due to local network boundaries and tiny data volume, instead implementing a DIY in-process CSV export route within the existing Go binary over the pre-existing PostgreSQL database.","c":0.95,"e":[["file","internal/web/server.go:123-140"],["file","scripts/run.sh:1-13"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"redpanda","secs":1898,"k":"a88c5950-6aa2-4982-8f82-66baced9c13c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":227,"picks":[["redpanda","p"],["aiven","r"],["amazon-kinesis","r"],["amazon-sqs","r"],["apache-kafka","r"],["apache-pulsar","r"],["azure-event-hubs","r"],["confluent","r"],["google-pubsub","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["warpstream","r"],["azure-service-bus","m"]],"v":{"r":"The agent clearly selected, recommended, and fully implemented Redpanda to replace the PostgreSQL event_log table. 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In the API layer, `@geoapify/un-locode` was installed to resolve UN/LOCODE coordinates locally and `searoute-ts` was added to calculate ocean leg routing. Other mapping solutions like Leaflet, Mapbox, and Google Maps Platform were considered in reasoning and rejected.","c":0.95,"e":[["file","apps/web/package.json:16"],["file","apps/web/app/shipments/shipments-map.tsx:4-12"],["file","CLAUDE.md:31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-21","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e2-halverstock","pid":"CDNY-E2-HALVERSTOCK-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-ai-sdk","secs":2058,"k":"a99bbaba-47f9-46f1-a959-2e6621a2405f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":302,"picks":[["vercel-ai-sdk","p"],["e2b","c"],["vercel-workflow","c"],["claude-agent-sdk","r"],["copilotkit","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["spring-ai","r"],["assistant-ui","m"],["cloudflare-agents","m"],["crewai","m"],["cursor-sdk","m"],["daytona","m"],["inngest","m"],["inngest-agent-kit","m"],["langchain4j","m"],["langgraph-platform","m"],["llamaindex","m"],["microsoft-agent-framework","m"],["pydantic-ai","m"],["semantic-kernel","m"]],"v":{"r":"The run evaluated multiple agent frameworks and committed to a Node sidecar service powered by Vercel AI SDK and Vercel Workflow (WorkflowAgent) for durable turn management and resumable streaming, along with E2B for sandboxed code execution. 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It wired the Celery tasks in `crm/tasks.py`, updated Celery settings in `bramwick/settings.py`, and created systemd service templates in Ansible. RQ was considered in reasoning but rejected to avoid redundant operational overhead.","c":1,"e":[["file","bramwick/settings.py:115-163"],["file","crm/tasks.py:1-40"],["file","ansible/roles/app/templates/celery.service.j2:1-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["celery"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"spring-utility-billing","variant":"base","family":"cadenya-e1-dunmarrow","pid":"CDNY-E1-DUNMARROW-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1711,"k":"aa0a313b-7eed-43cd-9d02-ed45bba7bf50-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":208,"picks":[["dbos-transact","p"],["langchain4j","c"],["cursor-sdk","r"],["inngest","r"],["langgraph","r"],["spring-ai","r"],["temporal","r"],["cursor-cloud-agents","m"],["daytona","m"],["e2b","m"],["mastra","m"],["modal","m"],["vercel-ai-sdk","m"]],"v":{"r":"The run adopted DBOS Transact as the durable agent execution runtime to run the background closing workflow on PostgreSQL, alongside LangChain4j for provider-agnostic LLM model invocations. 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The implementation includes API routes for ephemeral token minting, client WebSocket handling with audio resampling and interruption handling, session recovery, and tool integration.","c":1,"e":[["file","app/api/voice/token/route.ts"],["file","components/VoiceDesk.tsx"],["file","lib/voice/model.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok-voice-agent"],"pb":1,"sk":0,"seam":"Live two-way voice","theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"parallel","secs":639,"k":"aa8d0441-6188-40e7-aece-c197a2464c6f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":71,"picks":[["parallel","p"],["brave-search","m"],["jina","m"],["linkup","m"],["you-com","m"],["exa","r"],["firecrawl","r"],["perplexity-sonar","r"],["serpapi","r"],["tavily","r"],["companies-house-api","m"],["diffbot","m"],["serper","m"]],"v":{"r":"The agent evaluated several search and research APIs (Parallel, Exa, Tavily, Perplexity Sonar, Firecrawl, SerpApi, etc.) to handle exhaustive 12-fact research for obscure companies with verifiable citations. 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The agent implemented the integration fully across backend services, controllers, views, assets, and tests.","c":1,"e":[["file","app/services/talkjs.rb"],["file","app/services/talkjs/client.rb"],["file","app/services/talkjs/conversation.rb"],["file","app/services/talkjs/token.rb"],["file","app/assets/javascripts/application.js:1-64"],["file","app/controllers/orders_controller.rb:21-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["talkjs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":5,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"bc-panl-prompt-b-10","pid":"PANL-PB-10c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"posthog","secs":994,"k":"ae2c53b5-2c1d-440f-b553-c8e3ae6ea747-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":134,"picks":[["posthog","p"],["plausible","m"],["umami","m"],["google-analytics","r"],["metabase","r"],["mixpanel","r"],["vercel-analytics","r"]],"v":{"r":"The agent explicitly recommended PostHog Cloud, followed by implementing the integration across Next.js client instrumentation, Next.js server actions, Supabase auth callbacks, and proxy rewrites. Competing product analytics tools (Metabase, Google Analytics, Mixpanel, Vercel Analytics, Plausible, Umami) were evaluated during reasoning and rejected in favor of PostHog.","c":1,"e":[["file","package.json"],["file","instrumentation-client.ts"],["file","lib/posthog/server.ts"],["file","next.config.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-payments-prompt-c-09","pid":"PAY-PC-09a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1266,"k":"ae46eaa1-72d6-45ea-aa3f-819e52e1a7b1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":55,"picks":[["stripe","p"],["adyen","r"],["braintree","r"],["lemon-squeezy","r"],["paddle","r"],["paypal","r"]],"v":{"r":"The agent evaluated several payment providers and selected Stripe Billing in test mode. It installed the `stripe` npm dependency, implemented a complete integration in `src/stripe-billing.js` and `src/server.js` with Checkout Sessions, Customer Portal redirects, and signed webhook processing, and documented the setup in README.md and .env.example.","c":1,"e":[["file","package.json"],["file","src/stripe-billing.js"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e1-ferngate","pid":"CDNY-E1-FERNGATE-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1570,"k":"ae48cdd6-59a4-48c3-8571-c0da1d961379-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":211,"picks":[["dbos-transact","p"],["pydantic-ai","c"],["autogen","m"],["crewai","m"],["daytona","m"],["e2b","m"],["modal","m"],["cursor-sdk","r"],["inngest","r"],["langgraph","r"],["openai-agents-sdk","r"],["temporal","r"],["cursor-cloud-agents","m"],["langchain","m"]],"v":{"r":"The run evaluated multiple agent runtime and durable workflow frameworks before adopting DBOS Transact for resilient step-by-step workflow orchestration and human-in-the-loop approvals, paired with Pydantic AI for structured model calls and provider abstraction. Both packages were installed in requirements.txt and fully implemented in the maintenance agent code.","c":1,"e":[["file","requirements.txt:10"],["file","apps/maintenance/agent/workflow.py:1-137"],["file","apps/maintenance/agent/runtime.py:1-289"],["file","requirements.txt:11"],["file","apps/maintenance/agent/decisions.py:1-57"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact","pydantic-ai"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"bc-auth-prompt-b-12","pid":"AUTH-PB-12a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":1048,"k":"ae647cb7-ce22-4173-8173-abeb3dfef05d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":147,"picks":[["workos-authkit","p"],["auth0","a"],["clerk","a"]],"v":{"r":"The agent evaluated several auth providers (Auth0, Clerk, Amazon Cognito, and WorkOS AuthKit), recommended WorkOS AuthKit to fit multi-tenant workspace requirements, and implemented it end-to-end with a new FastAPI service (`services/auth`), SDK integration, database schema updates, Terraform config, and test suite.","c":1,"e":[["file","requirements.txt:10"],["file","services/auth/main.py:1-254"],["file","services/auth/service.py:1-353"],["file","terraform/workos.tf:1-10"],["file","tests/test_auth.py:1-428"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":3,"date":"2026-09-21","repo":"rust-cli","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"hyperfine","secs":1359,"k":"ae74b4d6-5ccf-41a6-a971-0b274cc8d585-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":60,"picks":[["hyperfine","p"],["bencher","r"],["codspeed","r"],["criterion","r"],["divan","r"]],"v":{"r":"The agent selected Hyperfine 1.18.0 as its performance CI tool, configuring a GitHub Actions workflow (.github/workflows/perf.yml) and Python gate script (perf/gate.py) to measure release binary wall-clock times against a same-runner baseline. Other tools (Criterion.rs, CodSpeed, Bencher, Divan) were explicitly evaluated and rejected in reasoning.","c":1,"e":[["file",".github/workflows/perf.yml:23-35"],["file","perf/baseline.json:2-3"],["file","perf/gate.py:102-120"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["hyperfine"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"obs-traces-python-analyst","pid":"OBS-TRACE-03a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"honeycomb","secs":1407,"k":"ae796cdb-542a-4c8b-a953-7a64ab892ed0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":163,"picks":[["honeycomb","p"],["datadog","m"],["new-relic","m"],["opentelemetry","m"]],"v":{"r":"The run chose Honeycomb as its sole telemetry backend and alert management provider. It instrumented the FastAPI application using OpenTelemetry SDKs, filtered sensitive workbook data from spans, and configured production startup hooks to manage Honeycomb triggers and webhook recipients via Honeycomb's REST API.","c":1,"e":[["file","app/alerts.py:1-292"],["file","app/tracing.py:1-243"],["file",".env.example:16-40"],["file","README.md:70-105"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["honeycomb"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-21","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"orb","secs":1715,"k":"aea06f25-03f9-4f44-b536-15c160f9df3b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":208,"picks":[["orb","p"],["flexprice","m"],["chargebee","r"],["kill-bill","r"],["lago","r"],["m3ter","r"],["metronome","r"],["recurly","r"],["stripe-billing","r"],["zuora","r"]],"v":{"r":"The agent evaluated several usage-based billing options (Orb, Lago, Metronome, Stripe Billing, m3ter, Kill Bill, Zuora, Sequence, etc.) and recommended Orb specifically for its ability to handle retroactive repricing and period corrections with structured line-item diffs and credit notes. The agent then proceeded to fully implement the integration with Orb in the Laravel codebase.","c":1,"e":[["file","app/Services/OrbClient.php:1-187"],["file","config/services.php:12-24"],["file","app/Services/UsageIngestor.php:1-198"],["file",".env.example:17-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-b-65","pid":"DPLY-PB-65g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare","secs":175,"k":"aea3ae4f-d9fd-4ac3-bb1c-8b824fe8f562-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":20,"picks":[["cloudflare","p"],["render","m"],["aws","r"],["github-pages","r","b"],["netlify","r"],["vercel","r"]],"v":{"r":"The agent evaluated static hosting providers, selected Cloudflare Pages due to its unlimited bandwidth free tier and easy Git integration, and implemented the automated build and deployment pipeline via a GitHub Actions workflow file deploying to Cloudflare via wrangler-action.","c":1,"e":[["file",".github/workflows/pages-deployment.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"perf-ci","wave":2,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1808,"k":"aeb02291-65cd-4e6a-90ba-51209a99dca6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":126,"picks":[["diy","p","d"],["gatling","r"],["hyperfoil","r"],["jmh","r"],["k6","r"]],"v":{"r":"The run evaluated existing benchmarking frameworks (JMH, k6, Gatling, Hyperfoil) and third-party SaaS services, but deliberately rejected them due to compliance restrictions and JVM/database lifecycle mismatches. Instead, it built a fully DIY performance regression gate in-tree using JUnit 5, MockMvc, Maven Failsafe, and embedded PostgreSQL, committing a baseline JSON file and uploading evidence in GitHub Actions.","c":1,"e":[["file","src/test/java/eu/kontovar/ledger/perf/LatencyBudget.java:1-88"],["file","src/test/java/eu/kontovar/ledger/perf/AccountBalancePerfIT.java:1-508"],["file","src/test/resources/perf/account-balance-baseline.json:1-12"],["file",".github/workflows/build.yml:23-30"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"ai-sre","wave":6,"date":"2026-09-22","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grafana-assistant-investigations","secs":499,"k":"af1bb2e0-4185-4f4f-902c-b4a137bca9d2-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":41,"picks":[["grafana-assistant-investigations","p","b"]],"v":{"r":"The agent selected Grafana Assistant Investigations as its primary solution, noting that the project already uses Grafana Cloud Loki and Alloy. It configured and documented the exact alert enrichment, GitHub MCP app integration, investigation rules, and token allowance in docs/monitoring.md.","c":1,"e":[["file","docs/monitoring.md:15-23"],["trace","40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana-assistant-investigations"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":436,"k":"af450eab-79f3-4523-97fb-7639c68d9358-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":40,"picks":[["apple-mapkit","p","b"],["google-maps","r"],["leaflet","r"],["mapbox","r"],["maplibre","r"],["openstreetmap","r"]],"v":{"r":"The agent evaluated several mapping options for the iOS SwiftUI app and chose Apple Maps (MapKit), which is built directly into iOS 17 with no external dependencies or subscription keys required. The agent fully implemented MapKit in `RunMapView.swift`, updated the detail view, and added tests.","c":1,"e":[["file","Sources/Views/RunMapView.swift:1-40"],["file","Sources/Views/RunDetailView.swift:23-45"],["file","project.yml:34-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-21","repo":"delivery-proof-service","variant":"base","family":"bc-clde-prompt-b-02","pid":"CLDE-PB-02b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws","secs":1120,"k":"af543577-bb92-41dc-bf98-3c9efaf2802a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":65,"picks":[["aws","p"],["azure","m"],["cloudflare","a"],["gcp","r"],["minio","r"],["redis","r"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent explicitly recommended and implemented Amazon Web Services (S3 and SQS) to provide durable object storage and event-driven thumbnail queueing. It installed AWS SDK v3 client libraries, added infrastructure configuration helpers, and wired the production workflow to S3 and SQS while comparing and rejecting alternative platforms like Cloudflare R2, Google Cloud Platform, and self-hosted options.","c":1,"e":[["file","package.json:10-12"],["file","src/production-workflow.js:1-40"],["file","src/proof-infrastructure.js:1-128"],["file","README.md:11-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"databases","wave":4,"date":"2026-09-22","repo":"python-ops-pipeline","variant":"base","family":"databases-senior-python-ops-pipeline","pid":"DB-5a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"scaleway-managed-database-postgresql","secs":1178,"k":"af5555e5-916d-4ca1-93b9-3d585aca5bf3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":94,"picks":[["scaleway-managed-database-postgresql","p"],["clickhouse","m"],["postgres","m"]],"v":{"r":"The agent evaluated hosted database options with strict EU data residency constraints, selected Scaleway Managed PostgreSQL in Paris (`fr-par`), and implemented the full schema, psycopg connection logic, CLI migration/querying commands, and integration tests.","c":1,"e":[["file","README.md:42-56"],["file","src/kirkfell_reporting/config.py:48-62"],["file","pyproject.toml:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["scaleway-managed-database-postgresql"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"storage","wave":1,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"stor-enterprise-edtech-lms","pid":"STOR-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-cloud-storage","secs":981,"k":"af64bec2-dd2d-4832-9bb8-b23dfc69b5c6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":114,"picks":[["google-cloud-storage","p"],["amazon-s3","r"],["azure-blob-storage","r"]],"v":{"r":"The agent evaluated the project's existing infrastructure and recommended using the pre-configured private Google Cloud Storage media bucket via signed PUT and GET URLs. It implemented this using the `google-cloud-storage` SDK in `apps/courses/materials.py`, rejecting alternatives like Amazon S3 and Azure Blob Storage to avoid adding redundant cloud infrastructure.","c":1,"e":[["file","apps/courses/materials.py:14"],["file","apps/courses/materials.py:59-86"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":611,"k":"af8be9fb-42d8-4e89-9c8f-4eb527b83663-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":44,"picks":[["apple-mapkit","p","b"]],"v":{"r":"The user requested a mapping solution for an iOS SwiftUI app. The agent selected and implemented Apple MapKit (using Map, Marker, MapPolyline, and MKMapItem) directly into the app codebase.","c":1,"e":[["file","Sources/Views/RunMap.swift"],["file","Sources/Views/RunDetailView.swift"],["file","Tests/RunStoreTests.swift"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":4,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"aigw-enterprise-edtech-lms","pid":"AIGW-03b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"portkey","secs":1416,"k":"afb4569a-638b-4363-a91f-7d5c624ff215-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":104,"picks":[["portkey","p"],["litellm","a"]],"v":{"r":"The run chose and implemented Portkey (referenced under its Prisma AIRS AI Gateway branding) as the AI gateway to handle model routing, fallback between Gemini and Claude, and district-level usage metadata.","c":0.95,"e":[["file","apps/quizzes/gateway.py:227-248"],["file","deploy/ai-gateway-quiz.json:1-24"],["file","brightloom/settings.py:152-166"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":3,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"voice-read-aloud-budget","pid":"VOICE-TTS-BUDGET-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"web-speech","secs":1470,"k":"afb56980-a97a-4509-8107-8721468240a5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":97,"picks":[["web-speech","p","b"],["azure","r"],["google","r"]],"v":{"r":"The user requested an accessible read-aloud option for a course pilot with zero recurring budget. The agent recommended and implemented the browser-native Web Speech API (window.speechSynthesis) restricted to on-device voices (localService === true) for FERPA safety and zero cost. Third-party network speech services (Amazon Polly, Google Cloud Speech, ElevenLabs, Azure Speech) were evaluated or guarded against via explicit test assertions.","c":1,"e":[["file","static/brightloom/read-aloud.js:10-50"],["file","AGENTS.md:70-78"],["file","templates/base.html:12-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["web-speech"],"sk":0,"seam":"Zero-budget browser read-aloud","theme":"The plain ask"},{"cat":"vector-search","wave":5,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"vector-v1","family":"vector-search-junior-small-team-tickets","pid":"VEC-TICKETS-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"typesense","secs":1405,"k":"afc730f6-7422-4f1c-81b0-46d8fde33aee-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":160,"picks":[["typesense","p"],["elastic","m"],["meilisearch","m"]],"v":{"r":"The run selected and fully integrated Typesense for vector/semantic search using `typesense/typesense-php` and `laravel/scout`, configuring collection schemas with native text embeddings and providing systemd installation scripts for hosting.","c":1,"e":[["file","composer.json"],["file","config/scout.php"],["file","ops/typesense/install.sh"],["file","app/Http/Controllers/TicketController.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":5,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-b-04","pid":"CLDE-PB-04b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"builtin","secs":951,"k":"b0287573-9d17-45c8-80e4-602877f53164-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":139,"picks":[["builtin","p","b"],["cloudflare","m"],["redis","r"],["amazon-s3","m"],["amazon-sqs","m"],["vercel-blob","m"],["vercel-queues","m"]],"v":{"r":"The project is already hosted on Vercel (`vercel.json` pre-existing). 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Other cloud queue/storage options (such as AWS SQS/S3, Redis, and Vercel Blob) were evaluated and rejected.","c":0.95,"e":[["file","package.json"],["file","vercel.json"],["file","lib/checkout-queue.ts"],["file","app/api/queues/checkout-completed/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"Volume and cost at scale"},{"cat":"search","wave":3,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"bc-search-prompt-c-01","pid":"SEARCH-PC-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"algolia","secs":1190,"k":"b05a0234-c8ae-489d-823f-1890db04f397-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":164,"picks":[["algolia","p"],["elasticsearch","r"],["meilisearch","r"],["atlas-search","r"],["opensearch","r"],["postgres-fts","r","b"],["typesense","r"],["vertex-ai-search","m"]],"v":{"r":"The agent evaluated several search options (Elasticsearch, OpenSearch, Typesense, Meilisearch, Postgres FTS, MongoDB Atlas Search) and selected Algolia as the primary search solution. It fully installed and configured `algoliasearch-rails`, created background indexing jobs via ActiveJob, built a search service, updated controller/view layers, and added comprehensive unit and integration tests.","c":1,"e":[["file","Gemfile:9"],["file","config/initializers/algoliasearch.rb:1-4"],["file","app/models/assessment.rb:2-45"],["file","app/services/claim_search.rb:1-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"esign-senior-enterprise-plyward","pid":"SIGN-PLYWARD-01h","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"docusign","secs":1521,"k":"b079ef79-f17c-410a-b701-d9cc6fd1ded5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":148,"picks":[["docusign","p"],["boldsign","r"],["dropbox-sign","r"],["pandadoc","r"],["signnow","r"]],"v":{"r":"The agent evaluated several third-party e-signature providers and recommended DocuSign eSignature using an EU account to sign the framework agreement and insurance declaration in a single envelope. Upon user confirmation, the agent fully implemented DocuSign integration across the backend, webhook endpoints, and CDK infrastructure.","c":1,"e":[["file","CLAUDE.md:29-29"],["file","apps/api/src/carriers/docusign.client.ts:1-417"],["file","apps/api/src/carriers/docusign-webhook.controller.ts:1-21"],["file","infra/lib/api-stack.ts:50-71"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":14,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai-voice-agent-builder","secs":525,"k":"b080fa1c-1361-447c-bcec-a4a1db2c1fd3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":72,"picks":[["xai-voice-agent-builder","p"],["vapi","m"],["pipecat","r"],["grok-voice-agent","m"],["twilio-programmable-voice","m"]],"v":{"r":"The agent explicitly chose xAI Voice Agent Builder, adding Bearer token authentication to the API for the builder to consume and documenting the full SIP/telephony integration in README.md without taking on the live media path.","c":0.95,"e":[["file","README.md:29-41"],["trace","64"],["trace","72"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai-voice-agent-builder"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"hono-parcelwatch","variant":"base","family":"mq-vibe-parcelwatch","pid":"MQ-PARCELWATCH-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-queues","secs":1050,"k":"b09bbffc-fb4b-4c3d-9b49-eb6174161584-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":97,"picks":[["cloudflare-queues","p"],["amazon-sqs","r"],["bullmq","r"],["pg-boss","r"],["rabbitmq","r"],["redis","r"],["svix","r"],["upstash","r"]],"v":{"r":"The agent evaluated several message queue options and adopted Cloudflare Queues with Cloudflare Workers. It created queue bindings in wrangler.jsonc, provision scripts in scripts/provision-queues.sh, and implemented producer and consumer logic in src/app.ts, src/index.ts, and src/consumer.ts.","c":1,"e":[["file","wrangler.jsonc:11-28"],["file","scripts/provision-queues.sh:1-20"],["file","src/app.ts:60-67"],["file","src/consumer.ts:28-53"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":5,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-aigw-prompt-b-05","pid":"AIGW-PB-05b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-ai-gateway","secs":684,"k":"b12a4377-eb9c-43a3-9354-bdf0bdcbfb9e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":142,"picks":[["vercel-ai-gateway","p"],["vercel-ai-sdk","m"]],"v":{"r":"The agent explicitly recommended and implemented Vercel AI Gateway to handle model calls, response caching, and budget limits for the shopping assistant chat, integrating it via `@ai-sdk/gateway`.","c":1,"e":[["file","lib/assistant.ts"],["file","package.json"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"exa","secs":1344,"k":"b1460739-4e1f-46bf-8543-e5b52087e56d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":113,"picks":[["exa","p"],["diffbot","m"],["firecrawl","m"],["jina","m"],["you-com","m"],["bing-web-search","r"],["brave-search","r"],["gemini-google-search","r"],["google-cse","r"],["newsapi","r"],["perplexity-sonar","r"],["serpapi","r"],["serper","r"],["tavily","r"],["vertex-ai-search","m"]],"v":{"r":"The user requested a web search solution for teachers in a lesson editor. The agent reviewed multiple search and extraction APIs, selected Exa Search API for its extractive passage highlights, publication date filters, and zero data retention enterprise terms, and implemented the integration in code (apps/courses/materials.py, settings, views, and deployment configs).","c":1,"e":[["file","apps/courses/materials.py:23"],["file","brightloom/settings.py:155"],["file","deploy/service.yaml:79-83"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":4,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"databases-vibe","pid":"DB-1a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"neon","secs":608,"k":"b150d41b-9d76-4683-ac80-5e09599ac3db-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["neon","p"],["postgres","m"]],"v":{"r":"The agent identified that the project was intended to persist invoices to a managed Neon database in us-east-1. It implemented runtime validation in server/db.mjs and server/index.mjs to enforce direct Neon host connections, apply schema migrations on startup, and remove in-memory storage notices.","c":1,"e":[["file","server/db.mjs"],["file","server/index.mjs"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":3,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-03","pid":"EVAL-PB-03a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"langfuse","secs":809,"k":"b15f77f3-f830-4ab4-8c43-caef89339dd1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":105,"picks":[["langfuse","p"],["braintrust","r"],["langsmith","r"],["phoenix","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Langfuse Cloud with opentelemetry-instrumentation-anthropic, adding configuration settings, trace context managers, and comprehensive unit tests while comparing and dismissing alternatives like LangSmith, Arize Phoenix, and Braintrust.","c":1,"e":[["file","pyproject.toml"],["file","app/tracing.py"],["file","app/config.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"bot-protection","wave":6,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-botp-prompt-c-02","pid":"BOTP-PC-02b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"turnstile","secs":1636,"k":"b176fefe-6142-44e9-b882-3eab2d2590e4-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":132,"picks":[["turnstile","p"],["cloudflare-bot-management","m"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The agent evaluated bot protection solutions for the public ticket intake endpoint, explicitly recommended Cloudflare Turnstile over Google reCAPTCHA and hCaptcha, and fully implemented Turnstile verification in middleware and service classes.","c":1,"e":[["file","app/Services/TurnstileVerifier.php"],["file","app/Http/Middleware/VerifyTurnstile.php"],["file","config/services.php"],["file","routes/web.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":5,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-stor-prompt-b-02","pid":"STOR-PB-02b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-blob-storage","secs":1142,"k":"b210f009-3d3f-4d50-a936-4bc6b60f69ef-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":106,"picks":[["azure-blob-storage","p"]],"v":{"r":"The user requested a managed object storage solution for downloadable bill documents. The agent recommended and fully implemented Azure Blob Storage using Azure.Storage.Blobs, provisioning the infrastructure in Bicep and updating the API and documentation.","c":1,"e":[["file","Directory.Packages.props:10"],["file","infra/main.bicep:101-140"],["file","src/Northmere.Billing.Api/Services/BlobBillDocumentStore.cs:1-90"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"portrait-gallery","variant":"base","family":"bc-auth-prompt-c-07","pid":"AUTH-PC-07a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":566,"k":"b21e0a4f-8136-4e68-b105-6ba2c186f5ee-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":21,"picks":[["diy","p","d"],["google-identity","r"],["authjs","r"],["passport","r"],["google-auth-library","m"],["google-sign-in","m"]],"v":{"r":"The agent explicitly evaluated third-party libraries (Passport, Auth.js, Firebase Authentication, and Google Identity Services) but decided to implement a custom, dependency-free OpenID Connect authorization code flow with PKCE directly using Node 22 native fetch and node:crypto in src/auth.js.","c":0.95,"e":[["file","src/auth.js"],["file","src/server.js"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-b-62","pid":"DPLY-PB-62g","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":254,"k":"b22fc4a9-271f-49f0-aeba-73a45bdf7a8d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":34,"picks":[["render","p"],["cloudflare","r"],["fly-io","r"],["netlify","r"],["railway","r"],["vercel","r"],["aws","m"]],"v":{"r":"The agent evaluated several hosting platforms (Vercel, Railway, Fly.io, Cloudflare, Netlify, Render) for a small Next.js app backed by Neon Postgres. It committed to Render by creating `render.yaml` configuring a Starter Node web service in Virginia with git commit auto-deploys.","c":1,"e":[["file","render.yaml:1-13"],["trace","render.yaml:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"vector-search","wave":2,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":583,"k":"b250fb75-c1ea-4501-8933-2314c53f8d01-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":82,"picks":[["neon","p","b"],["pinecone","r"],["typesense","r"],["weaviate","r"],["pgvector","m"]],"v":{"r":"The application already runs on Neon Postgres. The agent enabled the pgvector extension on the existing database via a new migration and schema type, storing 1536-dimensional embeddings generated via OpenAI text-embedding-3-small and executing cosine distance vector queries using PostgreSQL's <=> operator.","c":0.95,"e":[["file","drizzle/0001_note_embedding.sql:1-3"],["file","lib/db/schema.ts:3-13"],["file","lib/notes.ts:63-80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":4,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"elevenlabs-agents","secs":901,"k":"b279b497-ecfc-461f-9904-c250cd85cba5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":81,"picks":[["elevenlabs-agents","p"],["livekit-agents","r"],["openai-realtime","r"],["twilio-conversationrelay","r"],["vapi","r"],["smallest-ai","m"]],"v":{"r":"The agent evaluated multiple hosted and pipeline-based voice agent platforms (ElevenLabs, Smallest.ai, Retell, LiveKit, Vapi, Twilio ConversationRelay, OpenAI Realtime API) against tight host CPU/memory constraints and high-interruption requirements. It selected ElevenLabs Agents, implementing authenticated webhook tools and an agent provisioning client targeting ElevenLabs' ConvAI API.","c":0.95,"e":[["file","internal/voiceagent/client.go:1-206"],["file","internal/voiceagent/spec.go:1-190"],["file","cmd/voiceagent/main.go:1-38"],["file","README.md:29-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs-agents"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"bc-payments-prompt-c-01","pid":"PAY-PC-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1095,"k":"b29ddb5b-3fe0-40c9-a880-43c1c2110f29-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":153,"picks":[["stripe","p"],["paypal","r"]],"v":{"r":"The agent evaluated payment approaches for the Rails monolith marketplace and selected Stripe via Stripe Checkout. The integration was fully implemented with the `stripe` gem, database migrations, webhook handling in Sidekiq, and refund processing.","c":1,"e":[["file","Gemfile"],["file","config/initializers/stripe.rb"],["file","app/controllers/stripe_webhooks_controller.rb"],["file","app/models/order.rb"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"bc-search-prompt-c-06","pid":"SEARCH-PC-06a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"opensearch","secs":1318,"k":"b30a3b2a-3ed1-494b-9d0f-3bfd56950e8d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":165,"picks":[["opensearch","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["typesense","r"],["lucene","m"]],"v":{"r":"The agent selected OpenSearch as the dedicated search engine, installed opensearch-project/opensearch-php in composer.json, configured the OpenSearch client and outbox indexing pipeline in Symfony, and authored Helm templates for a multi-node OpenSearch StatefulSet and service.","c":1,"e":[["file","composer.json:17"],["file","helm/citizen-portal/templates/opensearch-statefulset.yaml:1"],["file","src/Service/Recherche/OpenSearchMoteurRecherche.php:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"voice-agents","wave":9,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-account-calls-resilience","pid":"VAGT-ACCOUNT-CALLS-02a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok-voice-agent","secs":1240,"k":"b30be4e3-4cfd-43b1-94bd-2a78b637b4f2-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":140,"picks":[["grok-voice-agent","p"],["vapi","a"],["twilio-programmable-voice","m"],["xai-voice-agent-builder","m"]],"v":{"r":"The run evaluated several voice agent platforms and chose xAI's Speech-to-Speech / Realtime WebSocket API (grok-voice-latest) paired with Twilio for PSTN call origination. The agent fully implemented the WebSocket bridge to wss://api.x.ai/v1/realtime with tool calling, audio streaming, and verification logic.","c":0.95,"e":[["file","internal/voice/bridge.go:30-38"],["file","README.md:29-33"],["trace","seq:44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok-voice-agent"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"autocannon","secs":1104,"k":"b34d34eb-d203-4039-b6f9-c9763deafdbf-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":70,"picks":[["autocannon","p"],["k6","r"]],"v":{"r":"The agent selected Autocannon as the performance benchmarking tool, installed it into `package.json`, generated `perf/baseline.json` using autocannon, wrote `scripts/perf-gate.js` around it, and wired it up to GitHub Actions in `.github/workflows/perf.yml`.","c":1,"e":[["file","package.json"],["file","scripts/perf-gate.js"],["file","perf/baseline.json"],["file",".github/workflows/perf.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["autocannon"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-21","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e4-ferngate","pid":"CDNY-E4-FERNGATE-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"langgraph","secs":1420,"k":"b3a6fd10-180e-4985-87c3-9b9fd7fbc071-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":184,"picks":[["langgraph","p"],["e2b","c"],["autogen","m"],["crewai","m"],["daytona","m"],["mastra","m"],["semantic-kernel","m"],["vercel-ai-sdk","m"],["claude-agent-sdk","r"],["cursor-sdk","r"],["modal","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["cursor-cloud-agents","m"],["langchain","m"]],"v":{"r":"The run comprehensively implemented a Slack maintenance agent using LangGraph for conversation checkpointing, durable interrupts, and model abstraction, alongside E2B for sandboxing generated code. 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MapLibre was selected to avoid proprietary token constraints (Mapbox, Google Maps) and heavyweight infrastructure (AWS Location Service, deck.gl), using OpenFreeMap as the default basemap style URL while resolving UN/LOCODE coordinates in the NestJS API backend.","c":0.95,"e":[["file","apps/web/package.json"],["file","apps/web/app/shipments/shipments-map.tsx"],["trace","seq 36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":5,"date":"2026-09-22","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":926,"k":"b49e97c3-fc1d-4e35-9c79-517ec22636b7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":103,"picks":[["e2b","p"],["firecracker","m"],["aws-codebuild","r"],["daytona","r"],["vercel-sandbox","r"],["aws-lambda","m"]],"v":{"r":"The agent evaluated several sandbox solutions (E2B, Daytona, Vercel Sandbox, CodeSandbox SDK, AWS CodeBuild) and selected E2B. 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Several alternatives (Amazon SQS, Upstash QStash, Inngest, Trigger.dev, RabbitMQ, Redis, and PGMQ) were analyzed and formally rejected in the trace.","c":1,"e":[["file","wrangler.jsonc:6-23"],["file","src/app.ts:44-59"],["file","src/tracking.ts:1-89"],["file","README.md:12-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":5,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry","secs":1735,"k":"b4ad5d21-a6d9-49f5-a6cd-f8acb9479b50-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":106,"picks":[["sentry","p"],["grafana","m"],["honeycomb","m"],["new-relic","m"],["opentelemetry","m"],["datadog","r"],["prometheus","m"]],"v":{"r":"The run installed `@sentry/node`, instrumented the Node.js API with Sentry errors, logs, traces, and metrics, and wrote an operational alert script to configure Sentry alert rules in the EU region.","c":1,"e":[["file","package.json"],["file","apps/api/src/observability.js:1-280"],["file","ops/sentry/collection-alert.js:1-241"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"background-jobs","wave":4,"date":"2026-09-22","repo":"express-api","variant":"base","family":"jobs-community-express","pid":"JOBS-COMMON-EXPRESS-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1330,"k":"b50dfa59-f686-4915-a71c-9fea1f9268ac-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":105,"picks":[["diy","p","d"],["sidekiq","m"],["bullmq","r"]],"v":{"r":"The run explicitly chose to build an in-repo, MongoDB-backed queue and worker service rather than adopting an external job processing library, taking advantage of existing MongoDB transactions and Docker Compose deployment.","c":1,"e":[["file","models/ReceiptJob.js:1-29"],["file","services/receiptQueue.js:1-118"],["file","workers/receiptWorker.js:1-213"],["file","docker-compose.yml:15-26"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Community-baseline queue choice","jobq":"Other custom durable queue","jobrt":"Managed VM service","theme":"The plain ask"},{"cat":"vector-search","wave":6,"date":"2026-09-22","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qdrant","secs":1499,"k":"b548a488-f3d8-4e25-8445-72752882795f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":84,"picks":[["qdrant","p"],["pinecone","m"]],"v":{"r":"The agent explicitly recommended, installed, and integrated self-hosted Qdrant as the vector database for passage search and permission filtering across tenant workspaces.","c":1,"e":[["file","index.py"],["file","qdrant/config.yaml"],["file","scripts/qdrant-install.sh"],["file","scripts/qdrant-run.sh"],["file","app.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qdrant"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-aigw-prompt-c-05","pid":"AIGW-PC-05b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-ai-gateway","secs":738,"k":"b5497bb4-edd2-4eff-8fca-feeb941dc714-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":118,"picks":[["vercel-ai-gateway","p"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["openrouter","r"],["portkey","r"],["amazon-bedrock","m"],["vercel-ai-sdk","m"]],"v":{"r":"The agent explicitly recommended, installed, and configured Vercel AI Gateway with the Vercel AI SDK in the Next.js 14 App Router project. 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Pinecone was explicitly considered and rejected to avoid adding a second third-party vendor and operational overhead.","c":1,"e":[["file","src/search.ts"],["file","src/config.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-vector-stores"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-21","repo":"nestjs-stockroom","variant":"base","family":"bc-databases-prompt-c-03","pid":"DB-PC-03b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-database-postgresql-flexible-server","secs":1397,"k":"b63baba3-42a9-4502-aee9-7c2a14a04d7b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":112,"picks":[["azure-database-postgresql-flexible-server","p"],["azure-sql","r"],["dynamodb","r"],["clickhouse","m"],["postgres","m"]],"v":{"r":"The agent explicitly recommended and then implemented Azure Database for PostgreSQL Flexible Server for managing stock items, locations, stock adjustments, and partitioned monthly transfers. 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The agent implemented the franz-go client, outbox relay pattern, 64-partition topics, consumer groups, and k8s configuration referencing Aiven Kafka secrets and documentation, while detailing explicit rejections for various alternative message brokers.","c":0.98,"e":[["file","docs/platform/event-bus.md"],["file","internal/eventlog/kafka.go"],["file","deploy/k8s/billingexport/deployment.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aiven"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"evals","wave":11,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-01","pid":"EVAL-PC-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"langfuse","secs":947,"k":"b70a0cc5-b1e2-449f-96f7-b3380bda2c22-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":153,"picks":[["langfuse","p"],["helicone","r"],["braintrust","r"],["langsmith","r"],["phoenix","r"],["opentelemetry","m"]],"v":{"r":"The agent explicitly recommended, installed, implemented, and tested Langfuse using @langfuse/openai, @langfuse/otel, and @langfuse/tracing to provide LLM trace observability for OpenAI API calls. Alternative LLM observability platforms (LangSmith, Arize Phoenix, Braintrust, and Helicone) were evaluated and rejected.","c":1,"e":[["file","package.json"],["file","src/tracing.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-srvl-prompt-b-05","pid":"SRVL-PB-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-lambda","secs":835,"k":"b759bfc5-97f1-4506-b1e5-eb0d857ddd03-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":60,"picks":[["aws-lambda","p"],["fly","m"],["azure-functions","r"],["cloudflare-workers","r"],["google-cloud-functions","r"],["google-cloud-run","r"],["vercel-functions","r"],["render","m"]],"v":{"r":"The agent evaluated several serverless compute options and recommended AWS Lambda. Following user approval, the agent implemented the export function using `github.com/aws/aws-lambda-go` under `cmd/export` and generated a SAM `template.yaml` defining an `AWS::Serverless::Function`.","c":0.95,"e":[["file","cmd/export/main.go"],["file","template.yaml"],["file","go.mod"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":5,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-01","pid":"EVAL-PC-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"langfuse","secs":595,"k":"b7e25350-9341-4db6-a2c3-bd67ee75ea0c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":111,"picks":[["langfuse","p"],["braintrust","r"],["langsmith","r"],["phoenix","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The agent evaluated multiple LLM evaluation and observability tools (Langfuse, LangSmith, Arize Phoenix, Braintrust) and chose Langfuse Cloud. It installed the official Langfuse packages (`@langfuse/openai`, `@langfuse/tracing`, `@langfuse/otel`) and `@opentelemetry/sdk-node`, wired trace and generation tracking in `src/tracing.ts` and `src/model.ts`, added graceful shutdown flushes in `src/server.ts`, and updated tests and documentation.","c":0.98,"e":[["file","package.json"],["file","src/tracing.ts"],["file","src/model.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"next-intl","secs":1606,"k":"b7e7a55c-60b5-4a94-9f1a-708ba050f57d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":209,"picks":[["next-intl","p"],["gettext","m"],["lingui","m"],["next-international","m"],["crowdin","r"],["formatjs","r"],["lokalise","r"],["paraglide","r"],["i18next","m"],["intl-api","m"],["intlayer","m"]],"v":{"r":"The agent explicitly recommended, installed, and configured next-intl with Next.js App Router server components, adding JSON catalogs, proxy middleware routing, and localized date/time formatters.","c":1,"e":[["file","package.json"],["file","next.config.ts"],["file","i18n/routing.ts"],["file","proxy.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-21","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-cloud-agents","secs":793,"k":"b830d211-7af1-452c-bc28-fed93dea93c2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":68,"picks":[["cursor-cloud-agents","p"],["cursor-automations","a"]],"v":{"r":"The user requested an AI SRE tool to investigate incidents and automatically produce fixes from code and logs within a $200/month budget. The agent initially recommended Cursor Automations, but when asked for concrete repository configuration, implemented an Express webhook endpoint using `@cursor/sdk` to programmatically launch Cursor Cloud Agents with automatic pull request generation.","c":0.95,"e":[["file","package.json"],["file","ops/incidentWebhook.js:106-135"],["file",".cursor/environment.json"],["file",".env.example:15-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-cloud-agents"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-21","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-enterprise-fleet","pid":"SBX-MANAGED-ENTERPRISE-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"daytona","secs":1229,"k":"b83df250-4ae9-471d-8815-72988ca7e4ce-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":109,"picks":[["daytona","p"],["blaxel","m"],["runloop","m"],["e2b","r"],["modal","r"],["vercel-sandbox","r"],["aws-codebuild","m"],["aws-lambda","m"],["cloudflare-workers","m"],["firecracker","m"],["gvisor","m"]],"v":{"r":"The run evaluated several sandbox platforms (E2B, Modal, Daytona, Vercel Sandbox) against requirements including dual-region execution, host-scoped credential proxying, operator audit logs, and domain allowlists. 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It fully installed, configured, and implemented the returns agent workflow using DBOS Transact Go SDK with Postgres storage.","c":1,"e":[["file","go.mod"],["file","cmd/agent/main.go"],["file","internal/agent/workflow.go"],["trace","59"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"django-i18n","secs":1653,"k":"b87ed0e4-ba8e-4b46-9a04-bdd246af9db8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":157,"picks":[["django-i18n","p","b"],["crowdin","m"],["gettext","m"],["transifex","m"],["weblate","m"],["django-modeltranslation","r"],["django-parler","r"],["django-rosetta","r"],["fluent","r"],["i18next","r"],["lokalise","m"],["rosetta","m"]],"v":{"r":"The run chose and implemented Django's built-in translation framework (`django-i18n`) using gettext catalog files (`.po`/`.mo`), custom middleware for staff language activation, translation overrides for Celery notification emails, and Django form/model `gettext_lazy` strings.","c":0.95,"e":[["file","brightloom/settings.py"],["file","apps/roster/middleware.py"],["file","apps/grading/tasks.py"],["file","templates/base.html"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"resend","secs":979,"k":"b8925fb3-ce9c-4459-a542-60c5eaa9cb85-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":112,"picks":[["resend","p"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The agent inspected the repository, selected Resend, and implemented an end-to-end transactional email integration using Resend's batch API, including configuration, templates, error handling, and unit tests.","c":1,"e":[["file","lib/email/resend.ts:5-223"],["file",".env.example:8-14"],["file","README.md:41-71"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-workflow","secs":1540,"k":"b8f980fe-58b2-4b6a-b0f0-1324942d692f-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":138,"picks":[["vercel-workflow","p"],["amazon-sqs","r"],["bullmq","r"],["cloud-tasks","r"],["inngest","r"],["supabase-queues","r"],["trigger-dev","r"],["upstash","r"],["vercel-queues","r"],["amazon-sns","m"],["pgmq","m"],["redis","m"]],"v":{"r":"The agent evaluated several background processing and workflow options before recommending and fully implementing Vercel Workflows (`workflow` npm package with Next.js integration) to handle class cancellation fan-out notifications, reminders, and waitlist offer step-and-hook timers.","c":0.95,"e":[["file","next.config.ts"],["file","app/owner/actions.ts"],["file","workflows/notify.ts"],["file","workflows/waitlist.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"cloud","wave":6,"date":"2026-09-22","repo":"commerce-return-evidence","variant":"base","family":"bc-clde-prompt-c-01","pid":"CLDE-PC-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws","secs":535,"k":"b8ff4fca-7233-457a-91b7-53cc446abe68-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["aws","p"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent evaluated pricing, recommended Amazon Web Services (specifically Amazon S3 and Amazon SQS), and implemented the adapters using AWS SDK client libraries.","c":1,"e":[["file","package.json"],["file","src/s3-evidence-store.js"],["file","src/sqs-evidence-jobs.js"],["file","src/wire-return-evidence.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":783,"k":"b91180b9-b086-49dc-8d7f-ad09419d6948-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":39,"picks":[["apple-mapkit","p","b"],["google-maps","r"],["mapbox","r"],["maplibre","r"]],"v":{"r":"The agent evaluated native and third-party map solutions for a macOS SwiftUI sandboxed application. It recommended Apple Maps (MapKit) as the built-in, native platform framework needing no API keys or third-party SDK dependencies, and implemented `SiteMapView` with MapKit `Map` and `Marker` components.","c":1,"e":[["file","Sources/Views/SiteMapView.swift:1-55"],["file","Resources/LarkfieldSiteLog.entitlements:11-12"],["file","project.yml:42-43"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":5,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"code-review-senior-grebe","pid":"CR-GREBE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"danger","secs":1336,"k":"b91bf973-e94c-40f1-aa52-d7237bf8d70a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["danger","p"],["reviewdog","a"]],"v":{"r":"The run chose Danger as its solution to automate pull request reviews against repository ground rules, implementing a GitHub Actions workflow invoking `danger/danger-js` along with `dangerfile.js` and supporting validation scripts.","c":1,"e":[["file",".github/workflows/review.yml:53-58"],["file","dangerfile.js:1-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["danger"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"search-scale-enterprise-ts-a","pid":"SEARCH-SCALE-ENTERPRISE-TS-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"opensearch","secs":912,"k":"b93089ed-a917-4aa5-89d6-c56fc24af256-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":120,"picks":[["opensearch","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["typesense","r"],["solr","m"]],"v":{"r":"The run installed `@opensearch-project/opensearch`, created indexer and search modules in the inventory service, added search API endpoints, configured production SigV4 authentication, and wrote unit/integration tests for OpenSearch querying and Kafka bulk ingestion.","c":1,"e":[["file","services/inventory/package.json"],["file","services/inventory/src/lib/search.ts"],["file","services/inventory/src/indexer.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-kinesis","secs":1683,"k":"b9502e18-614c-4994-8892-d431a69ac499-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":180,"picks":[["amazon-kinesis","p"],["amazon-elasticache","r"],["amazon-eventbridge","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["dynamodb-streams","r"],["apache-kafka","m"],["redis","m"]],"v":{"r":"The agent selected and fully implemented Amazon Kinesis Data Streams (with DynamoDB for checkpoint offsets) as the message queue/stream buffer, writing Terraform definitions, Python integration modules, and updating all consumer poller routines.","c":1,"e":[["file","terraform/kinesis.tf"],["file","app/stream/kinesis.py"],["file","app/stream/factory.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01e","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":913,"k":"b965d14a-1479-4373-8f94-3970b129e3b3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":123,"picks":[["google-gemini","p"],["amazon-textract","r"],["azure-document-intelligence","r"],["abbyy","m"],["anthropic-claude","m"],["doctr","m"],["easyocr","m"],["handwritingocr","m"],["hyperscience","m"],["mindee","m"],["nanonets","m"],["openai-models","m"],["paddleocr","m"],["rossum","m"],["veryfi","m"]],"v":{"r":"The run chose Google Gemini (specifically gemini-3.8-flash on Google Cloud Vertex AI) to perform OCR and structured extraction of handwritten trade parts from photographed job sheets. It fully implemented the solution in server/utils/geminiParts.ts using google-auth-library and structured JSON schema generation.","c":0.95,"e":[["file","server/utils/geminiParts.ts:1-106"],["file","package.json:18"],["file",".env.example:8-14"],["file","README.md:73-80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-aigw-prompt-b-05","pid":"AIGW-PB-05b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-ai-gateway","secs":733,"k":"b9b90f98-0392-4af5-8a3f-5bd3c9e4d0d0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":124,"picks":[["vercel-ai-gateway","p"],["vercel-ai-sdk","m"],["helicone","r"],["litellm","r"],["openrouter","r"],["portkey","r"]],"v":{"r":"The agent evaluated several AI gateway providers (Vercel AI Gateway, OpenRouter, Portkey, Helicone, LiteLLM) and selected Vercel AI Gateway to handle prompt caching and spend caps. It implemented the solution using the Vercel AI SDK with caching options configured on the gateway provider, updated .env.example with gateway keys and models, and documented dashboard spend controls in README.md.","c":0.98,"e":[["file","app/api/chat/route.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vapi","secs":1521,"k":"b9d97bcf-2ac5-4386-9d26-cfc071ddf967-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":91,"picks":[["vapi","p"],["bland-ai","r"],["elevenlabs-agents","r"],["livekit-agents","r"],["openai-realtime","r"],["pipecat","r"],["retell-ai","r"],["synthflow","r"],["twilio-conversationrelay","r"],["voiceflow","r"]],"v":{"r":"The agent evaluated several voice agent platforms and chose Vapi. It implemented an end-to-end integration with Vapi webhooks, provisioning scripts, custom tool handling, change staging/confirmation state machine, and warm transfer logic in the repository.","c":1,"e":[["file","scripts/provision-vapi.ts"],["file","server/api/voice/vapi.post.ts"],["file","server/voice/assistant.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-b-63","pid":"DPLY-PB-63g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"railway","secs":559,"k":"b9fc16ad-54c0-404a-846e-8ec131611921-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":75,"picks":[["railway","p"],["cloudflare","r"],["digitalocean","r"],["fly-io","r"],["netlify","r"],["render","r"],["vercel","r"]],"v":{"r":"The agent evaluated several hosting platforms (Railway, Render, Fly.io, Vercel, Netlify, Cloudflare, DigitalOcean) and explicitly selected Railway. It implemented the deployment configuration by writing `.railway/railway.ts`, adding the `railway` npm package, updating `server/index.mjs` to serve production static assets, and documenting the deployment instructions.","c":1,"e":[["file",".railway/railway.ts"],["file","package.json"],["trace","seq:53"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["railway"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"perplexity-sonar","secs":1021,"k":"ba216a06-bfd9-4be0-8817-27d3ed5ffaf4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":124,"picks":[["perplexity-sonar","p"],["you-com","m"],["brave-search","r"],["gemini-google-search","r"],["openai-web-search","r"],["tavily","r"],["playwright","m"]],"v":{"r":"The agent evaluated multiple web search and AI grounding services, recommended the Perplexity Agent API (preset: fast) over Gemini grounding and tool-calling models, and implemented the lookup action calling https://api.perplexity.ai/v1/agent directly.","c":1,"e":[["file",".env.example:5-6"],["file","src/lib/server/explain.ts:1-129"],["file","src/routes/app/notes/[id]/+page.server.ts:59-103"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perplexity-sonar"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":5,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"bc-dply-prompt-c-61","pid":"DPLY-PC-61g","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel","secs":273,"k":"ba67bfdf-7a71-4ba8-9c51-d3e07552e10f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":53,"picks":[["vercel","p"],["railway","a"],["render","a"]],"v":{"r":"The agent explicitly recommended Vercel as the best hosting solution for the Next.js app and fully configured the repository for deployment (creating `vercel.json`, adding `.vercel/` to `.gitignore`, and documenting deployment instructions in `README.md`). Render and Railway were weighed as potential alternatives in the reasoning trace.","c":1,"e":[["file","vercel.json"],["file","README.md"],["file",".gitignore"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"Speed to ship"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e1-cairnfold","pid":"CDNY-E1-CAIRNFOLD-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"dbos-transact","secs":1349,"k":"baed0829-9bb9-4350-8eee-c0eb913b690f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":166,"picks":[["dbos-transact","p"],["cursor-sdk","r"],["daytona","r"],["e2b","r"],["inngest","r"],["langgraph","r"],["modal","r"],["temporal","r"]],"v":{"r":"The agent evaluated several durable workflow and agent orchestration frameworks (DBOS Transact, Temporal, Restate, Inngest, LangGraph) and sandbox environments (E2B, Daytona, Modal). It committed to DBOS Transact for Go (`github.com/dbos-inc/dbos-transact-golang`), implementing the background renewal agent in `cmd/worker/main.go` and `internal/renewal/renewal.go` and connecting it to the web desk in `internal/desk/dbos.go`.","c":1,"e":[["file","go.mod"],["file","cmd/worker/main.go"],["file","internal/desk/dbos.go"],["file","internal/renewal/renewal.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"auth-vibe-remix-workshop-bookings","pid":"AUTH-7a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1059,"k":"bb33b99b-4718-404b-9175-3e3e01223c3d-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":109,"picks":[["diy","p","d"],["authjs","r"],["google-auth-library","m"],["google-sign-in","m"],["openid-client","m"]],"v":{"r":"The agent opted not to adopt any comprehensive third-party auth service or library framework (such as Clerk, Auth0, Auth.js, or remix-auth), instead building a bespoke Google OAuth OIDC sign-in and session verification workflow using oauth4webapi and Remix's native cookie session storage.","c":0.95,"e":[["file","app/studio-auth.server.ts"],["file","app/routes/studio-board.tsx"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"auth-choice-fastapi-saas","pid":"AUTH-N-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":1172,"k":"bb8523d4-16d4-4006-8675-054a87258bd4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":141,"picks":[["workos-authkit","p"],["fusionauth","m"],["keycloak","r"],["ory-kratos","r"],["stytch","r"],["supertokens","r"],["auth0","r"],["clerk","r"],["google-sign-in","m"],["python-social-auth","m"]],"v":{"r":"The agent evaluated multiple auth providers (AWS Cognito, Auth0, Clerk, SuperTokens, Keycloak, Ory Kratos, Stytch) and selected WorkOS AuthKit. 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reCAPTCHA Enterprise, adding the google-cloud-recaptcha-enterprise dependency, custom form verification, templates, configuration settings, and tests.","c":1,"e":[["file","requirements.txt:10"],["file","brightloom/recaptcha.py:1-226"],["file","brightloom/forms.py:1-38"],["file","templates/admin/login.html:70-97"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["recaptcha"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01b","pf":"Enterprise 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The run evaluated Smallest.ai, ElevenLabs, Vapi, Twilio ConversationRelay, and Retell AI, recommending Retell AI. Upon user approval, the agent implemented complete Retell integration endpoints, signature validation, confirmation transcript gating, and SQL concurrency locks.","c":1,"e":[["file","app/api/retell/lookup/route.ts"],["file","app/api/retell/book/route.ts"],["file","lib/phone/signature.ts"],["file","README.md:23-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"event-registry","secs":1541,"k":"bc5ad7d6-d5b8-4831-b52b-e9b3892d8c72-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":125,"picks":[["event-registry","p"],["bodacc","m"],["newsapi","m"],["pappers","m"]],"v":{"r":"The run evaluated search options for press and incident monitoring, selecting NewsAPI.ai (Event Registry) as the primary third-party news search provider and writing complete client code, configuration, and automated tests for it. Linkup was mentioned as a potential secondary index.","c":1,"e":[["file",".env.example:8-12"],["file","internal/sources/collect.go:58-60"],["file","internal/sources/news.go:16-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["event-registry"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"stockroom-receiving","variant":"base","family":"ocr-stockroom-receiving","pid":"OCR-STOCKROOM-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-content-understanding","secs":762,"k":"bc5c8512-482d-4938-b15c-ebe9cb3d5b9c-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":69,"picks":[["azure-content-understanding","p"],["amazon-textract","r"]],"v":{"r":"The agent explicitly recommended and fully implemented an integration adapter for Azure Content Understanding (defining custom analyzer schemas, binary analysis, polling, and grounding parsers) while evaluating and bypassing alternative OCR options such as Amazon Textract.","c":1,"e":[["file","src/infrastructure/contentUnderstanding.js"],["file","README.md"],["file","test/contentUnderstanding.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-content-understanding"],"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":2,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"voice-transcription-field","pid":"VOICE-STT-FIELD-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure","secs":1597,"k":"bc6e5ec3-bac2-4444-bee5-bbb05a75651b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":87,"picks":[["azure","p"]],"v":{"r":"The agent explicitly recommended Azure AI Speech Custom Speech batch transcription and fully implemented the solution in C# using HttpClient, EF Core models, endpoints, background polling service, and unit tests. 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It installed `pytest-benchmark` in `requirements-dev.txt`, wrote benchmark test fixtures measuring the contract-summary workload, configured baseline ratios in `perf/baseline.json`, and added a required `performance` workflow job in `.github/workflows/ci.yml`.","c":0.95,"e":[["file","requirements-dev.txt:8"],["file",".github/workflows/ci.yml:26-55"],["file","tests/perf/test_contract_summary.py:1-200"],["file","pytest.ini:4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pytest-benchmark"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"brave-search","secs":1081,"k":"bd9fd935-d0a8-4c8a-a80d-8f1a8aa3b529-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":107,"picks":[["brave-search","p"],["firecrawl","m"],["jina","m"],["linkup","m"],["parallel","m"],["searchapi-io","m"],["diffbot","r"],["duckduckgo","r"],["exa","r"],["google-cse","r"],["perplexity-sonar","r"],["searxng","r"],["serpapi","r"],["serper","r"],["tavily","r"]],"v":{"r":"The agent evaluated several web search and scraping providers (Exa, Tavily, Google Programmable Search, SerpApi, Perplexity Sonar, DuckDuckGo, SearXNG, etc.) before committing to Brave Search API. 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It configured a separate private bucket (`fjordnote-images` in `eu-central-1`) with direct browser presigned POST uploads and authenticated 302 redirects to presigned GET URLs.","c":1,"e":[["file","package.json:16-18"],["file","src/lib/server/images.ts:1-236"],["file","fly.toml:14-15"],["file","README.md:29-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"bc-aigw-prompt-c-03","pid":"AIGW-PC-03b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":1171,"k":"be7c70c4-09f2-4d3f-aa84-06669b7ce826-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":121,"picks":[["cloudflare-ai-gateway","p"],["helicone","r"],["kong-ai-gateway","r"],["litellm","r"],["openrouter","r"],["portkey","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"]],"v":{"r":"The agent explicitly chose Cloudflare AI Gateway as the hosted AI gateway for routing Celery background quiz generation requests to Google Vertex AI Gemini in us-central1. 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It selected Axiom (an off-list third-party log/trace platform) for direct ingest and querying, rejecting LangSmith, Langfuse, Helicone, and Phoenix primarily on cost and operational maintenance grounds, and fully implemented the Axiom integration across the codebase.","c":0.95,"e":[["file","src/trace.ts:1-106"],["file","README.md:28-86"],["trace","35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["axiom"],"sk":0,"seam":"Tracing model calls","theme":"Volume and cost at scale"},{"cat":"serverless","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-srvl-prompt-c-06","pid":"SRVL-PC-06a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-functions","secs":292,"k":"c09018f3-fa45-4a72-ae70-60feac08c7d5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":55,"picks":[["vercel-functions","p","b"],["aws-lambda","r"],["cloudflare-workers","r"],["inngest","r"],["netlify-functions","r"]],"v":{"r":"The run evaluated whether to introduce an external serverless platform or queueing system, but concluded that using Vercel's built-in Route Handlers (Vercel Functions) on the existing Next.js setup was the cleanest approach. The agent then updated the Stripe webhook route handler on Vercel with retry and idempotency logic.","c":1,"e":[["file","README.md:25"],["file","app/api/webhooks/stripe/route.ts:29-54"],["trace","23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01d","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":460,"k":"c09c0b63-fff5-4491-afc3-8d51a64d5ca5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":39,"picks":[["apple-mapkit","p","b"],["google-maps","r"],["mapbox","r"]],"v":{"r":"The agent evaluated third-party paid map SDKs (Google Maps, Mapbox) against native Apple MapKit for the SwiftUI iOS app. It explicitly recommended and implemented MapKit using SwiftUI's Map, Marker, MapPolyline, and MKMapItem for directions, rejecting Google Maps and Mapbox as unnecessary overhead.","c":1,"e":[["file","Sources/Views/MeetingPointMap.swift:1-108"],["file","Sources/Views/RunDetailView.swift:23-48"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"code-review-vibe-classbooking","pid":"CR-CLASSBOOKING-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":138,"k":"c0b77e6f-4689-460b-a972-1ed41cc5fb98-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":32,"picks":[["cursor-bugbot","p"]],"v":{"r":"The agent explicitly recommended Cursor Bugbot and configured it by creating `.cursor/BUGBOT.md` with repository-specific review rules for pre-merge diff inspections.","c":1,"e":[["file",".cursor/BUGBOT.md"],["trace","32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":3,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postmark","secs":1158,"k":"c0ce42f2-795b-4bbb-b0e1-03ec18708857-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":157,"picks":[["postmark","p"],["mailgun","m"],["resend","m"],["smtp","m"]],"v":{"r":"The agent explicitly selected Postmark, implemented full transactional email integration with Postmark's REST API, added environment configuration, rendered password reset templates, and verified API acceptance.","c":1,"e":[["file","src/lib/server/mail/postmark.ts"],["file","src/lib/server/mail/password-reset.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"voice-agents","wave":10,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":1533,"k":"c10307f4-a5db-4429-8817-159b507e6aef-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":273,"picks":[["retell-ai","p"],["synthflow","m"],["twilio-conversationrelay","m"],["elevenlabs-agents","r"],["vapi","r"],["smallest-ai","m"],["ultravox","m"]],"v":{"r":"The agent conducted in-depth evaluation of voice agent platforms, selected Retell AI as the best fit, and fully integrated the application with Retell-compatible API webhook routes (/api/phone/*), documentation in README.md, and configuration in .env.example.","c":1,"e":[["file",".env.example:11-14"],["file","README.md:23-29"],["trace","135"],["trace","219"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":4,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qodo","secs":531,"k":"c1102579-0ac6-4791-8f7d-654e2b447c89-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":46,"picks":[["qodo","p"]],"v":{"r":"The agent explicitly selected PR-Agent (Qodo Merge) to satisfy internal hosting and strict data residency constraints, configuring repository policy in `.pr_agent.toml` and detailing deployment instructions for the self-hosted webhook connected to the platform gateway in `docs/revue-merge-requests.md`. GitLab Duo was rejected due to proprietary gateway requirements.","c":0.95,"e":[["file",".pr_agent.toml"],["file","docs/revue-merge-requests.md:7-16"],["file","README.md:35-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-21","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1466,"k":"c111687d-ae83-4957-83e7-4dde842deb84-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":113,"picks":[["metronome","p"],["stigg","m"],["amberflo","r"],["lago","r"],["openmeter","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing solutions (Stripe Billing meters, Orb, Lago, OpenMeter, Amberflo) before recommending Metronome. 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Alternative map and geocoding providers (Leaflet, Google Maps Platform, Nominatim, Geocoder gem) were weighed and discarded during deliberation.","c":0.95,"e":[["file",".env.example:18"],["file","app/models/place.rb:7"],["file","app/models/place.rb:147"],["file","app/views/listings/show.html.erb:13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-auth-prompt-b-09","pid":"AUTH-PB-09a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":841,"k":"c2f9471e-3826-47a0-a4cd-e68bdd7fafca-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":77,"picks":[["workos-authkit","p"],["stytch","m"],["okta","r"],["auth0","r"],["better-auth","r"],["clerk","r"],["lucia","r"],["passport","r"],["supabase-auth","r"],["authjs","m"],["google-sign-in","m"]],"v":{"r":"The run chose, installed (@workos-inc/node), configured, and implemented WorkOS AuthKit with Organizations to handle authentication, MFA, password reset, and social sign-in, delegating tenant membership checks to WorkOS while maintaining a sealed session cookie in the Node.js application.","c":1,"e":[["file","package.json"],["file","src/auth.js"],["file","src/server.js"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":8,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"search-scale-senior-nuxt-c","pid":"SEARCH-SCALE-SENIOR-NUXT-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":2258,"k":"c2ff3e0a-02c4-447f-809b-3c467ae4a667-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":182,"picks":[["postgres-fts","p","b"],["elasticsearch","m"],["opensearch","m"]],"v":{"r":"The agent explicitly chose and implemented PostgreSQL's built-in pg_trgm extension and GIN indexes for search over bringing in an external search service, qualifying as a builtin solution.","c":1,"e":[["file","drizzle/0001_search_trgm.sql"],["file","server/utils/search.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"deploy","wave":4,"date":"2026-09-22","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-d-64","pid":"DPLY-PD-64g","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel","secs":513,"k":"c310411a-1c18-4362-aef1-d6e5e4013196-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":70,"picks":[["vercel","p"],["cloudflare","r"],["netlify","r"],["render","r"]],"v":{"r":"The agent explicitly recommended and configured Vercel to host the project, creating `vercel.json` and a serverless function handler at `api/week.js` pinned to `iad1` to query Neon serverless Postgres. Other hosting platforms (Cloudflare, Netlify, Render, Railway, Fly.io) were probed during environment checks and abandoned.","c":1,"e":[["file","vercel.json"],["file","api/week.js"],["file",".gitignore"],["trace","seq 54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"No operations burden"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"leaflet","secs":1215,"k":"c3392281-c61d-4e5d-b38c-88940cc47f0d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":128,"picks":[["leaflet","p"],["google-maps","c"],["maplibre","r"],["openstreetmap","r"]],"v":{"r":"The agent implemented a map UI served directly by fleetd using Leaflet as the client map framework and Google Maps Platform (Map Tiles API) for basemap tile rendering, while dismissing public OpenStreetMap and heavier libraries like MapLibre and deck.gl.","c":0.95,"e":[["file","internal/httpapi/web/static/leaflet.js"],["file","internal/httpapi/web/static/leaflet.css"],["file","internal/httpapi/web/static/map.js"],["file","internal/httpapi/web/page.html"],["file","internal/httpapi/web/static/map.js"],["file","internal/httpapi/map_page.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-21","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"orb","secs":1687,"k":"c347467b-e146-4bc8-8dbe-54b8c3cef84e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":109,"picks":[["orb","p"],["amberflo","m"],["flexprice","m"],["m3ter","m"],["paid","m"],["lago","r"],["metronome","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing vendors (Stripe Billing, Metronome, Lago, Orb) and recommended Orb due to its support for event amendments, backfilling, dimensional pricing, and commit ledgers. It then fully implemented the Orb integration across the repository, adding the Orb HTTP client, usage event generators, outbox emission pipeline, webhook processing, and updated subscription endpoints.","c":1,"e":[["file","src/billing/orb.ts"],["file","src/billing/emit.ts"],["file","prisma/schema.prisma"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-stor-prompt-b-05","pid":"STOR-PB-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1060,"k":"c359441e-2313-4518-976f-3a0d1859e3ca-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":72,"picks":[["amazon-s3","p"],["cloudflare-r2","m"],["minio","m"],["azure-blob-storage","r"],["google-cloud-storage","r"]],"v":{"r":"The agent selected Amazon S3 as the production managed object storage provider, adding the AWS SDK for Go v2 and implementing an S3 client for uploads and presigned GET redirects. MinIO was configured for local testing, while Google Cloud Storage and Azure Blob Storage were explicitly considered and rejected in deliberation.","c":1,"e":[["file","internal/objects/s3/s3.go"],["file","go.mod"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-21","repo":"fieldservice-saas-billing","variant":"base","family":"stor-senior-fieldservice-saas-billing","pid":"STOR-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-r2","secs":229,"k":"c3e55b4d-530d-4a69-a002-719f0d069bf0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":23,"picks":[["cloudflare-r2","p"],["azure-blob-storage","m"],["google-cloud-storage","m"],["amazon-s3","r"],["supabase-storage","r"],["uploadthing","r"],["vercel-blob","r"]],"v":{"r":"The agent explicitly recommended Cloudflare R2 and implemented an R2 storage adapter configuring the S3 client for Cloudflare R2's endpoint (`*.r2.cloudflarestorage.com`), presigning PUT and GET URLs with `@aws-sdk/s3-request-presigner`.","c":1,"e":[["file","server/storage/r2.js:1-21"],["file","test/photos.test.js:16-23"],["trace","12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":2,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"composer-2-5-fast","secs":345,"k":"c3f33099-7d39-4673-b5bb-f9989e9df8d2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":68,"picks":[["composer-2-5-fast","p"],["muse-spark","m"],["claude-opus-5","a"]],"v":{"r":"The agent selected Composer 2.5 Fast as the primary default model and wired it via @cursor/sdk in lib/assistant.ts and app/api/assistant/route.ts, with dynamic routing to Claude Opus 5 for payment-sensitive messages.","c":0.95,"e":[["file","lib/assistant.ts:8-58"],["trace","seq:13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["composer-2-5-fast"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"perplexity-sonar","secs":1355,"k":"c42f01ee-921d-49e4-a20d-463568b17c3c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":138,"picks":[["perplexity-sonar","p"]],"v":{"r":"The run recommended and fully integrated Perplexity Sonar as the third-party AI search provider. 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Upon user approval, the agent implemented LiveKit Agents with `livekit-agents` in `voice/agent.py` and configured the necessary Rails backend endpoints and tests.","c":1,"e":[["file","voice/agent.py"],["file","voice/requirements.txt"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-cloudwatch","secs":732,"k":"c631ace6-bc96-45e4-a106-0118e4c04d07-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":95,"picks":[["aws-cloudwatch","p","b"],["aws-xray","m","b"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["honeycomb","m"],["new-relic","m"],["sentry","m"]],"v":{"r":"The run evaluated Amazon CloudWatch Application Signals, Grafana Cloud, and Datadog. It chose Amazon CloudWatch (including CloudWatch Application Signals, CloudWatch Logs, and AWS X-Ray) as the AWS-native observability stack already matching the ECS Fargate deployment, instrumented the app, created Terraform configuration with a p95 latency alarm, and documented the comparison.","c":0.95,"e":[["file","terraform/observability.tf:22-146"],["file","terraform/ecs.tf:122-184"],["file","app/observability.py:1-73"],["file","docs/observability.md:1-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"search","wave":5,"date":"2026-09-22","repo":"java-telecom-splunk","variant":"base","family":"search-junior-enterprise-java","pid":"SEARCH-JUNIOR-ENTERPRISE-JAVA-01b","pf":"Enterprise 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ask"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"docling","secs":1012,"k":"c666e8b2-732f-4f49-9488-3a9f86768ddf-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":91,"picks":[["docling","p"],["adobe-pdf-extract","r"],["llamaparse","r"],["mineru","r"],["pdfplumber","r"],["pymupdf","r"],["reducto","r"],["tesseract","r"],["unstructured","r"],["pdfjs","m"],["pypdfium2","m"]],"v":{"r":"The agent analyzed the requirements for complex technical manual parsing (table structure preservation, reading order, printed page citation, and OCR for scanned documents), recommended self-hosted Docling Serve, and implemented a full client and response mapper in TypeScript (`src/ingest/docling.ts` and `src/ingest/docling-map.ts`).","c":1,"e":[["file","src/ingest/docling.ts"],["file","src/ingest/docling-map.ts"],["file","src/cli/ingest.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloud-tasks","secs":1392,"k":"c696ba15-88d6-4fe9-b670-f977f2c987cc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":118,"picks":[["cloud-tasks","p"],["diy","c","d"],["celery","r"],["google-pubsub","r"],["rabbitmq","r"],["redis","r"],["temporal","r"],["google-eventarc","m"],["google-memorystore","m"],["laravel-queues","m"]],"v":{"r":"The run chose a split implementation: adopting Google Cloud Tasks as the managed task queue to drive step-by-step async execution, paired with a custom 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Google's Generative Language API using `gemini-3.5-flash-lite` configured in `lib/assistant.ts` and `.env.example`.","c":1,"e":[["file","lib/assistant.ts:133-157"],["file",".env.example:12-14"],["file","README.md:23-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"aigw-junior-helpdesk-billing-starter","pid":"AIGW-04b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"openrouter","secs":542,"k":"c6cb0b0c-efac-4705-86c8-e05322b2e548-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":36,"picks":[["openrouter","p"],["cloudflare-ai-gateway","r"],["helicone","r"],["langchain","r"],["litellm","r"],["portkey","r"],["vercel-ai-gateway","r"],["vercel-ai-sdk","r"],["amazon-bedrock","m"]],"v":{"r":"The agent explicitly recommended, configured, and integrated OpenRouter as the hosted AI gateway. It created `src/draftReply.js` calling OpenRouter chat completions via `fetch`, wired it into the server, recorded `usage.cost` metadata onto ticket drafts, and updated `.env.example` and `README.md` documentation. Alternatives like Cloudflare AI Gateway, Vercel AI Gateway, LiteLLM, Portkey, and Helicone were evaluated and rejected.","c":1,"e":[["file","src/draftReply.js:5-124"],["file","README.md:25-58"],["file",".env.example:6-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1289,"k":"c717396b-9e9a-4f88-9945-f4d66d819f0f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":112,"picks":[["google-gemini","p"]],"v":{"r":"The agent evaluated several document processing tools and LLM extraction approaches against project requirements and budget, ultimately selecting and integrating Google Gemini (specifically Gemini 2.5 Flash via REST API in `src/contracts/model.ts`). Alternative document AI platforms and extractors (Azure Document Intelligence, Google Document AI, AWS Textract, Reducto, Extend, LlamaParse) were explicitly compared and rejected due to cost or missing capabilities.","c":0.98,"e":[["file",".env.example:5-7"],["file","src/contracts/model.ts:50-93"],["file","src/contracts/read.ts:39-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":2,"date":"2026-09-22","repo":"healthtech-ehr","variant":"base","family":"voice-transcription-clinical-region","pid":"VOICE-STT-CLINICAL-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure","secs":1336,"k":"c75147e0-6670-49e2-a196-f28036e36e7e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":155,"picks":[["azure","p"],["openai","r"]],"v":{"r":"The agent proposed Azure AI Speech (specifically configured in North Europe with MAI-Transcribe-2 and the real-time Speech SDK), received user approval, and implemented the full `dictation` service along with Bicep infrastructure and automated tests.","c":1,"e":[["file","dictation/pom.xml:56-62"],["file","infra/bicep/modules/speech.bicep:27-46"],["file","dictation/src/main/java/com/marrowe/dictation/speech/AzureSpeechTranscriber.java:1-35"],["trace","39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure"],"sk":0,"seam":"Clinical speech-to-text","theme":"Self-hosting, privacy or residency"},{"cat":"auth","wave":4,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"auth-sso-context-dotnet-utility-billing","pid":"AUTH-SSO-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"entra-id","secs":457,"k":"c754f006-7252-4f61-8070-ecb0acb5e872-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":63,"picks":[["entra-id","p"],["azure-ad-b2c","r"],["okta","r"],["auth0","r"]],"v":{"r":"The run evaluated SSO options for internal staff on an Azure-hosted .NET 8 Web API. It selected Microsoft Entra ID (using Microsoft.Identity.Web for token validation) to match the existing Azure stack, rejecting external providers like Auth0 and Okta as redundant/overkill. The solution was fully implemented in code, configuration, documentation, and tests.","c":1,"e":[["file","src/Northmere.Billing.Api/Program.cs"],["file","Directory.Packages.props"],["file","src/Northmere.Billing.Api/Northmere.Billing.Api.csproj"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":783,"k":"c7829ef5-f801-436e-bf8e-760ba394be68-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["diy","p","d"],["codspeed","r"],["k6","r"],["lighthouse-ci","r"]],"v":{"r":"The run intentionally built a custom DIY performance harness in `scripts/perf-gate.mjs` using Node's standard library, timed against `perf/baseline.json`, and wired into GitHub Actions via `.github/workflows/performance.yml`. 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It explicitly recommended and implemented Mollie using the official Go SDK (github.com/mollie/mollie-api-golang) to handle SEPA payments and webhooks while preserving the internal invoice ledger.","c":1,"e":[["file","go.mod:5"],["file","billing/collect.go:11-13"],["file","billing/webhook.go:11-13"],["file","README.md:3-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mollie"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":6,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"code-review-vibe-classbooking","pid":"CR-CLASSBOOKING-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"github-copilot-code-review","secs":192,"k":"c7d7f063-e7d4-4163-ae35-b4965dbbd32c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["github-copilot-code-review","p","b"],["coderabbit","r"],["grok","m"]],"v":{"r":"The user requested an automated pull request code review solution. 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Promptfoo was installed in an isolated `evals/` package and configured with GitHub Actions, custom TypeScript providers, and cache management.","c":1,"e":[["file",".github/workflows/eval.yml:1-113"],["file","evals/package.json:1-12"],["file","evals/promptfooconfig.yaml:1-25"],["file","README.md:36-57"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Volume and cost at scale"},{"cat":"ai-search","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"tavily","secs":605,"k":"c88e09c7-697c-4759-8c7e-4bd13c4143d6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":72,"picks":[["tavily","p"],["brave-search","m"],["exa","m"],["serpapi","m"],["serper","m"]],"v":{"r":"The agent explicitly recommended Tavily and fully implemented the integration via a dedicated service (TavilyPassageSearch), config updates, database migration, and controller injection in Laravel.","c":1,"e":[["file","app/Services/TavilyPassageSearch.php"],["file","config/services.php"],["file","app/Http/Controllers/TicketController.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":8,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"search-scale-vibe-classbooking-c","pid":"SEARCH-SCALE-VIBE-CLASSBOOKING-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":744,"k":"c8971c9b-5431-42ac-b416-98df44935415-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["postgres-fts","p","b"],["algolia","m"],["meilisearch","m"],["elasticsearch","r"]],"v":{"r":"The user requested a typo-tolerant search solution that scales. The agent recommended and implemented PostgreSQL's native pg_trgm and unaccent extensions via a Supabase SQL migration (`0003_search.sql`) and connected it to the Next.js frontend RPC query, avoiding third-party dependencies.","c":1,"e":[["file","supabase/migrations/0003_search.sql"],["file","app/page.tsx"],["trace","16"],["trace","18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"payments","wave":6,"date":"2026-09-22","repo":"express-api","variant":"base","family":"bc-payments-prompt-c-02","pid":"PAY-PC-02a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1303,"k":"c8b1161d-4f81-4189-86d2-b679824c9479-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":162,"picks":[["stripe","p"],["paypal","r"],["square","r"]],"v":{"r":"The agent evaluated Square, PayPal, and Stripe, rejecting Square due to complex setup and PayPal due to weaker webhook and refund mechanics. It selected and implemented Stripe (via Stripe Connect and Checkout destination charges), installing the `stripe` package and adding routes, controllers, webhook handling, and hold expiration logic.","c":1,"e":[["file","package.json:24"],["file","services/payments.js:1-581"],["file","routes/stripe.js:1-6"],["file","routes/connect.js:1-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"flutter-map","secs":1268,"k":"c8c890e5-7ebc-4615-ae61-5decce29310c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":151,"picks":[["flutter-map","p"],["maptiler","m"],["openfreemap","m"],["stadia-maps","m"],["google-maps","r"],["mapbox","r"],["maplibre","r"],["openstreetmap","r"],["openmaptiles","m"]],"v":{"r":"The agent selected, installed, and implemented flutter_map (along with flutter_map_vector_tiles using OpenFreeMap Liberty style vector tiles) to render the walk routes and live location tracking in Flutter. Heavier native alternatives (Google Maps Platform, Mapbox, MapLibre) and direct tile.openstreetmap.org tiles were considered and explicitly rejected.","c":1,"e":[["file","pubspec.yaml"],["file","lib/widgets/walk_map.dart"],["trace","seq:33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["flutter-map"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":1012,"k":"c8dec662-a4bd-44c2-aaee-20302d991979-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":129,"picks":[["google-gemini","p"],["abbyy","r"],["amazon-textract","r"],["anthropic-claude","r"],["azure-document-intelligence","r"],["mindee","r"],["mistral-ocr","r"],["openai-models","r"],["rossum","r"],["tesseract","r"],["veryfi","r"],["nanonets","m"]],"v":{"r":"The agent explicitly recommended and integrated Google Gemini (`gemini-2.5-flash`) via the Google Generative Language API endpoint to parse photos of handwritten job sheets and delivery notes. It configured the model in `server/utils/geminiParts.ts`, updated `.env.example` and `README.md`, and added database/UI integration with a human review gate. Other OCR tools and vision LLMs were evaluated and rejected.","c":1,"e":[["file","server/utils/geminiParts.ts:6-87"],["file",".env.example:8-12"],["file","README.md:73-77"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"gnews","secs":1658,"k":"c9a5b4e3-fe3e-46bb-ad1f-1534d43ab825-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":148,"picks":[["gnews","p"],["dataforseo","m"],["event-registry","m"],["exa","m"],["newsdata-io","m"],["playwright","m"],["serpapi","m"],["tavily","m"],["diffbot","r"],["gdelt","r"],["google-cse","r"],["newsapi","r"],["newscatcher","r"],["perigon","r"]],"v":{"r":"The run explicitly selected and implemented GNews (gnews.io) to fetch live port and carrier reports, building client querying, SQS ingestion, and CDK Secrets Manager integration.","c":1,"e":[["file","apps/api/src/reports/gnews.client.ts"],["file","apps/api/src/reports/gnews-query.ts"],["file","CLAUDE.md:27"],["file","infra/lib/api-stack.ts:60-65"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gnews"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-21","repo":"delivery-proof-service","variant":"base","family":"clde-senior-delivery-proof-service","pid":"CLDE-02b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws","secs":465,"k":"c9e04406-232b-45ba-970e-7bb1d09c4cf3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":34,"picks":[["aws","p"],["azure","m"],["minio","m"],["rabbitmq","m"],["redis","r"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent evaluated several cloud infrastructure alternatives and explicitly selected Amazon Web Services (S3 for object storage and SQS for queue management), implementing production workflows using the official AWS SDK v3.","c":1,"e":[["file","package.json"],["file","src/production-workflow.js"],["file","src/s3-proof-store.js"],["file","src/sqs-proof-jobs.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":5,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"bc-panl-prompt-b-08","pid":"PANL-PB-08c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"posthog","secs":994,"k":"c9e1b2fa-cfef-421c-af50-dc1107a8db19-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":178,"picks":[["posthog","p"],["fathom","r"],["matomo","r"],["metabase","r"],["mixpanel","r"],["plausible","r"]],"v":{"r":"The run recommended PostHog Cloud EU to satisfy EU data residency and editable dashboard requirements. It then installed `posthog-js` and `posthog-node`, configured client and server utilities with the EU ingestion endpoint, added tracking for product lifecycle events, and provided tests and documentation.","c":1,"e":[["file","package.json"],["file","nuxt.config.ts"],["file","plugins/posthog.client.ts"],["file","server/utils/analytics.ts"],["file","utils/productAnalytics.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"perigon","secs":1539,"k":"c9f56d0f-063b-4df0-9c5b-e22a07be594a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":184,"picks":[["perigon","p"],["newsapi","m"]],"v":{"r":"The agent evaluated news aggregation and story clustering services (Perigon, Event Registry / NewsAPI.ai, NewsCatcher) and implemented a scheduled worker and API integration using the Perigon Stories API.","c":1,"e":[["file","packages/stories/src/perigon.ts:1-60"],["file","infra/lib/api-stack.ts:92-125"],["file","CLAUDE.md:25-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perigon"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-sqs","secs":1595,"k":"c9fe383e-e4cd-4c7c-8922-0416db3a635f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":157,"picks":[["amazon-sqs","c","b"],["dynamodb-streams","p","b"],["amazon-sns","c","b"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["apache-kafka","r"]],"v":{"r":"The run evaluated multiple event-driven and queueing options before committing to a multi-service architecture comprising DynamoDB Streams (for zero-latency CDC off the database write), Amazon SNS (for multi-destination topic fan-out), and Amazon SQS (for resilient webhook retry queuing and DLQ buffering). It rejected EventBridge, Kinesis, Step Functions, MSK, and Kafka due to pricing, idle charges, or operational mismatch.","c":0.95,"e":[["file","infra/lib/api-stack.ts:20"],["file","infra/lib/status-fanout.ts:60-77"],["trace","7"],["file","infra/lib/status-fanout.ts:47-49"],["file","apps/status-fanout/src/dispatch.ts:19-31"],["file","infra/lib/status-fanout.ts:65-80"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"bc-auth-prompt-c-01","pid":"AUTH-PC-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"entra-id","secs":634,"k":"ca1c9383-e1dc-4126-9d50-88a231606605-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":83,"picks":[["entra-id","p"],["auth0","r"],["azure-ad-b2c","m"],["okta","m"]],"v":{"r":"The repository was configured to enforce Microsoft Entra ID JWT bearer token authentication using the Microsoft.Identity.Web NuGet package, protecting the policy, policyholder, and claims controllers.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj:17"],["file","src/Meridian.PolicyCore/Program.cs:45-60"],["file","src/Meridian.PolicyCore/appsettings.json:13-18"],["file","README.md:35-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":6,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"i18n-junior-kesterly-e2","pid":"I18N-KESTERLY-03c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vue-i18n","secs":1660,"k":"caa572a6-e5ff-4fb0-a681-3f65bc8be158-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":240,"picks":[["vue-i18n","p"],["paraglide","m"]],"v":{"r":"The run evaluated i18n options for a Nuxt 3 application and chose @nuxtjs/i18n, adding it as a devDependency in package.json, configuring it in nuxt.config.ts, and creating full locale message catalogs with pluralization and date formatting composables.","c":0.98,"e":[["file","nuxt.config.ts"],["file","package.json"],["trace","31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vue-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":5,"date":"2026-09-22","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-c-66","pid":"DPLY-PC-66g","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"render","secs":359,"k":"cab3f264-7415-401c-b70a-c9eb60aea06b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":42,"picks":[["render","p"],["fly-io","m"],["railway","m"],["vercel","m"]],"v":{"r":"The agent explicitly recommended Render, wrote a complete `render.yaml` blueprint configuration file for deployment, and updated the README with Render-specific deployment instructions. Other hosting options were checked or mentioned during exploration.","c":1,"e":[["file","render.yaml:1-18"],["file","README.md:19-35"],["trace","32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Speed to ship"},{"cat":"in-app-communication","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"twilio","secs":1435,"k":"cae2006e-af64-4b8e-bffd-cf8c114b5f42-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":138,"picks":[["twilio","p"],["pusher","m"],["sendbird","a"],["stream","a"],["ably","r"],["agora","r"],["daily","r"],["livekit","r"],["pubnub","r"]],"v":{"r":"The user requested a service recommendation for in-app chat and voice, which the agent recommended as Twilio Conversations and Twilio Voice SDK. Upon user confirmation, the agent installed the Twilio SDKs (`twilio`, `@twilio/conversations`, `@twilio/voice-sdk`), added database schema tables for mapping conversations and calls, implemented backend token and TwiML webhook endpoints, and added client components for job chat and voice calling.","c":1,"e":[["file","package.json"],["file","server/utils/twilioRoom.ts"],["file","components/JobRoom.vue"],["file","composables/useVoiceDevice.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"base","family":"auth-senior-saas-analytics-mid","pid":"AUTH-15a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"clerk","secs":333,"k":"cb0650ca-d1c7-463d-bb14-e8bcb7a20916-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":35,"picks":[["clerk","p"],["supabase-auth","m"],["amazon-cognito","r"],["auth0","r"],["fastapi-users","m"],["okta","m"],["stytch","m"],["supertokens","m"],["workos-authkit","m"]],"v":{"r":"The run evaluated managed auth providers (Clerk, Cognito, Auth0, Supabase Auth, Firebase) and firmly chose Clerk Organizations. It then committed changes directly into `shared/schema.sql` and `shared/db.py` to add `clerk_organization_id` columns and lookup helpers to link workspaces with Clerk.","c":0.95,"e":[["file","shared/schema.sql:20-28"],["file","shared/db.py:98-106"],["file","shared/db.py:143-149"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":9,"date":"2026-09-22","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e1-cedarline","pid":"CDNY-E1-CEDARLINE-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"temporal","secs":2708,"k":"cb367ea1-5469-40df-bf0b-eec8576375f6-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":340,"picks":[["temporal","p"],["ruby-llm","c"],["inngest","r"],["langgraph","r"],["daytona","m"],["e2b","m"],["langchainrb","m"],["mastra","m"]],"v":{"r":"The run chose Temporal (via the temporalio gem) as the durable agent workflow orchestrator and RubyLLM (via the ruby_llm gem) for model abstraction and execution. Multiple alternative workflow orchestrators and agent platforms were evaluated and rejected primarily due to language mismatch with Ruby 3.3/Rails or lack of unbounded human-in-the-loop wait capabilities.","c":1,"e":[["file","Gemfile"],["file","app/workflows/claim_run_workflow.rb"],["file","app/services/claim_run.rb"],["file","bin/claim-agent"],["file","Gemfile"],["file","app/services/claim_model.rb"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"panl-senior-go-fleet","pid":"PANL-07c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1565,"k":"cb8de7a9-0e60-4f6d-a14b-d830ac1723d1-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":159,"picks":[["diy","p","d"],["looker-studio","r"],["looker","m"]],"v":{"r":"The agent originally recommended using Google BigQuery and Looker Studio. 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Alternatives such as LangGraph, Mastra, Pydantic AI, CopilotKit, Cloudflare Agents, OpenAI/Claude SDKs, and Temporal were explicitly compared and rejected with concrete architectural reasons.","c":0.95,"e":[["file","assistant/package.json"],["file","assistant/workflows/desk-turn.ts"],["file","README.md"],["file","assistant/package.json"],["file","assistant/src/sandbox.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","vercel-ai-sdk","vercel-workflow"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":8,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"search-scale-junior-flask-c","pid":"SEARCH-SCALE-JUNIOR-FLASK-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":1506,"k":"d04ad32a-a390-45a4-8a98-7f0cda4dada1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":94,"picks":[["postgres-fts","p"],["elasticsearch","r"]],"v":{"r":"The agent evaluated external search architectures versus in-database fuzzy search, rejecting a separate search service (Elasticsearch) to keep operations low. It implemented PostgreSQL's `pg_trgm` extension with GIN trigram indexing and psycopg driver integration directly into the Flask/SQLAlchemy codebase.","c":0.95,"e":[["file","app/search.py:1-60"],["file","README.md:19-27"],["file","requirements.txt:4"],["trace","16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"usage-based-billing","wave":6,"date":"2026-09-22","repo":"node-deployplatform","variant":"base","family":"usage-based-billing-junior-corvane-e4","pid":"UBB-CORVANE-04c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1657,"k":"d05f8a4d-a3b0-4b36-b7c1-7ce4ffab788a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":190,"picks":[["metronome","p"],["openmeter","m"],["stripe-billing","r"]],"v":{"r":"The agent explicitly recommended Metronome for usage-based billing, catalog rating, and prepaid credit management, and implemented a complete client, catalog provisioner, flusher, signature verification, and gating logic integrating Metronome with the repository.","c":1,"e":[["file",".env.example:10-25"],["file","src/metronome/client.js:1-123"],["file","src/metronome/provision.js:1-180"],["file","src/billing/account.js:1-342"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"serverless","wave":2,"date":"2026-09-21","repo":"fieldservice-saas-billing","variant":"base","family":"bc-srvl-prompt-b-03","pid":"SRVL-PB-03a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-functions","secs":815,"k":"d079df85-7167-45b4-8a68-ecc3902df4eb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":91,"picks":[["vercel-functions","p"],["netlify-functions","m"],["cloudflare-workers","a"],["aws-lambda","r"],["inngest","r"],["trigger-dev","r"]],"v":{"r":"The run chose Vercel Functions as the serverless execution environment, setting up Nitro's Vercel preset in `nuxt.config.js` along with Vercel Cron configuration to trigger the daily scheduled reminder task.","c":0.98,"e":[["file","nuxt.config.js"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit-agents","secs":1124,"k":"d091a96e-7599-4d2c-bcf7-87f142382c1c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":170,"picks":[["livekit-agents","p"],["openai-realtime","r"],["retell-ai","r"],["twilio-conversationrelay","r"],["vapi","r"],["amazon-connect","m"],["bland-ai","m"],["deepgram-voice-agent","m"],["elevenlabs-agents","m"],["pipecat","m"],["ultravox","m"]],"v":{"r":"The user requested an evaluation and implementation of a dispatch voice agent solution. The agent recommended and implemented LiveKit Agents in a dedicated TypeScript agent package (`agent/`) using `@livekit/agents`, `@livekit/agents-plugin-deepgram`, and `@livekit/agents-plugin-krisp`.","c":1,"e":[["file","agent/package.json"],["file","agent/src/main.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-21","repo":"python-code-tutor","variant":"base","family":"sandboxes-managed-code-tutor","pid":"SBX-MANAGED-TUTOR-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-sandbox","secs":569,"k":"d0acf4e3-73dd-4dd8-b1cf-1bbde7d95e06-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":68,"picks":[["vercel-sandbox","p"],["blaxel","m"],["daytona","r"],["e2b","r"],["modal","r"],["aws-lambda","m"],["cloudflare-workers","m"],["codesandbox-sdk","m"],["firecracker","m"],["gvisor","m"]],"v":{"r":"The agent explicitly selected, added as a dependency, and implemented Vercel Sandbox (`vercel-sandbox`) in `northstar/executor.py` and `pyproject.toml`, configuring network isolation, strict resource constraints, and ephemeral VM destruction.","c":1,"e":[["file","pyproject.toml:5-7"],["file","northstar/executor.py:9-11"],["file","northstar/executor.py:70-88"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Student and model snippets","theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-21","repo":"iot-telemetry","variant":"base","family":"usage-based-billing-enterprise-grellan-e4","pid":"UBB-GRELLAN-04b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":810,"k":"d0c39eda-c999-4237-be00-5990e76e8507-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":58,"picks":[["metronome","p"],["amberflo","m"],["chargebee","m"],["m3ter","m"],["maxio","m"],["lago","r"],["orb","r"],["stripe-billing","r"],["zuora","r"]],"v":{"r":"The agent clearly selected and fully implemented Metronome to handle usage-based billing for IoT fleet metrics. It built `internal/metronome` as the API client, `internal/billing` for prorating device months and aggregating bytes, and `cmd/bill` as the monthly close tool.","c":1,"e":[["file","internal/metronome/client.go:1-154"],["file","cmd/bill/main.go:87-93"],["file","docs/customer-billing.md:56-84"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-sre","wave":3,"date":"2026-09-21","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-cloud-agents","secs":602,"k":"d147d34f-2cac-40d8-b6f8-2c8aaeaf35a4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":82,"picks":[["cursor-cloud-agents","p"]],"v":{"r":"The agent selected and implemented Cursor Cloud Agents via the @cursor/sdk to handle Sentry error alerts, investigate issues using the Sentry MCP server, and automatically create pull requests with fixes.","c":1,"e":[["file","sentry-agent/package.json:14"],["file","sentry-agent/src/investigate.ts:9-25"],["file",".cursor/environment.json:1-7"],["file","docs/monitoring.md:7-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-cloud-agents"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":4,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1975,"k":"d1b8786d-ff38-4c62-a41f-fb757ce9747f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":134,"picks":[["diy","p","d"],["neon","r"],["pgvector","m"]],"v":{"r":"The run explicitly evaluated vector search architectures and chose to avoid any external vector service or Postgres extension (such as pgvector). 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The run implemented a complete Metronome integration including an API client, daily billable usage aggregation and delta publishing, invoice and balance ledger archiving into SQL, database schemas, and unit tests.","c":1,"e":[["file","src/Halvorn.Metering.Api/Metronome/MetronomeClient.cs"],["file","src/Halvorn.Metering.Api/Services/BillableUsagePublisher.cs"],["file","src/Halvorn.Metering.Api/Services/BillingArchive.cs"],["file","db/MetronomeBilling.sql"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":8,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"voice-agents-helpdesk","pid":"VAGT-HELPDESK-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok-voice-agent","secs":1191,"k":"d1da2490-f4b9-413f-8005-5e86ca4aee17-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":124,"picks":[["grok-voice-agent","p"],["voiceflow","m"],["twilio-programmable-voice","m"]],"v":{"r":"The repository implements a complete phone agent integration with the xAI Speech to Speech API (`grok-voice-latest`) using Direct SIP incoming webhooks, custom WebSocket framing, server VAD for barge-in, client-side function tools dispatching to Laravel ticket controllers, and SIP transfer logic.","c":0.95,"e":[["file","README.md:32-45"],["file","config/services.php:30-41"],["file","app/Voice/PhoneAgentSession.php:1-230"],["file",".env.example:35-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok-voice-agent"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1469,"k":"d1dc77bd-55ee-4141-b299-efeda7e3f571-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":111,"picks":[["amazon-textract","p"],["abbyy","m"],["hyperscience","m"],["anthropic-claude","r"],["google-gemini","r"],["openai-models","r"],["pdfbox","r"],["rossum","r"],["tesseract","r"],["mindee","m"],["nanonets","m"],["paddleocr","m"],["veryfi","m"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Amazon Textract using its TABLES and FORMS features within the AWS SDK v2, Terraform, Spring configuration, and application services to parse multi-page remittance PDF documents.","c":0.98,"e":[["file","pom.xml"],["file","src/main/java/eu/kontovar/ledger/remittance/AwsRemittanceTextractClient.java"],["file","terraform/eu-west-1/main.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":4,"date":"2026-09-22","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grafana-assistant-investigations","secs":307,"k":"d2086986-972b-469c-b2bf-d8bd587b5ea7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":44,"picks":[["grafana-assistant-investigations","p"],["resolve-ai","r"]],"v":{"r":"The agent selected Grafana Assistant Investigations to fit directly with the existing Grafana Cloud and Loki monitoring stack. It created the `.grafana/Dockerfile` sandbox configuration and documented setup steps in `docs/monitoring.md`.","c":1,"e":[["file",".grafana/Dockerfile"],["file","docs/monitoring.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana-assistant-investigations"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":6,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1522,"k":"d2155e06-adf4-4761-bec2-d307e8439652-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":81,"picks":[["diy","p","d"],["codspeed","r"],["criterion","r"]],"v":{"r":"The run deliberated third-party continuous benchmarking tools (CodSpeed, Criterion.rs, hyperfine) before rejecting them in favor of building a bespoke Python script (scripts/perf_gate.py) and baseline config (bench/baseline.json) running inside GitHub Actions.","c":0.95,"e":[["file","scripts/perf_gate.py"],["file","bench/baseline.json"],["file",".github/workflows/perf.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":315,"k":"d22de424-ceec-4ad9-8d45-bf6e2ef3f823-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":40,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated adding search to the Flask/SQLite catalog application, rejected full-text indexing (SQLite FTS5) and external search engines as overkill for structured part numbers and bin codes on a 360-row dataset, and built a custom server-rendered search route using SQLAlchemy ILIKE substring queries against SQLite.","c":1,"e":[["file","app/__init__.py:77-116"],["file","app/templates/search.html:1-58"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-cloudwatch","secs":1184,"k":"d23e8997-3919-4d30-9220-7487b0e1205d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":127,"picks":[["aws-cloudwatch","p","b"],["aws-xray","m","b"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["honeycomb","r"],["sentry","r"]],"v":{"r":"The agent explicitly selected and configured Amazon CloudWatch as the sole observability platform, adding CloudWatch Logs, EMF metrics, CloudWatch alarms on ALB 5xx errors via CDK, and ADOT tracing exporting to CloudWatch/X-Ray Transaction Search. 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The agent evaluated Render, Fly.io, Railway, Vercel, Cloudflare, and Netlify, selecting Render Starter in Virginia to keep the raw Node HTTP server intact and provide predictable flat pricing. It created a `render.yaml` blueprint and updated the server binding to 0.0.0.0.","c":1,"e":[["file","render.yaml:1-18"],["file","README.md:28-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"search","wave":7,"date":"2026-09-22","repo":"express-api","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":179,"k":"d29ccebe-3630-44a1-ab04-a3fadf3c8efa-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["diy","p","d"],["atlas-search","r"]],"v":{"r":"The agent evaluated external and built-in search options (MongoDB Atlas Search and MongoDB Text Search) but explicitly rejected them in favor of a hand-written regex filter on the existing MongoDB database schema, which it implemented directly in the repository.","c":1,"e":[["file","controllers/eventsController.js:8-20"],["file","controllers/eventsController.js:97-106"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-aigw-prompt-b-06","pid":"AIGW-PB-06b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-ai-gateway","secs":802,"k":"d2abb8f3-20d7-48a0-ba5e-1e7973e2dfe9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":66,"picks":[["vercel-ai-gateway","p"],["cloudflare-ai-gateway","m"],["helicone","m"],["openrouter","m"],["portkey","m"],["litellm","r"],["vercel-ai-sdk","r"],["amazon-bedrock","m"]],"v":{"r":"The run recommended and fully integrated Vercel AI Gateway for conversation summarization, connecting via its OpenAI-compatible endpoint with custom fallback configurations and tag attribution in Go. Other alternatives like Vercel AI SDK and LiteLLM were rejected due to runtime mismatch and operational burden respectively.","c":0.95,"e":[["file","internal/summary/summary.go:1-75"],["file",".env.example:3-6"],["file","README.md:20-22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"laravel-caseboard","variant":"base","family":"bc-auth-prompt-c-03","pid":"AUTH-PC-03a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":796,"k":"d3074847-e84d-4114-92e2-fb7627d435f5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":163,"picks":[["workos-authkit","p"],["auth0","r"],["clerk","r"],["passport","r"],["supabase-auth","r"],["laravel-breeze","m"],["stytch","m"]],"v":{"r":"The agent evaluated several managed and library auth options and chose WorkOS AuthKit, installing `workos/workos-php-laravel` and implementing the authentication redirect and callback flow.","c":0.95,"e":[["file","composer.json"],["file","app/Http/Controllers/AuthKitController.php"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"ocrolus","secs":1635,"k":"d32f31a1-2abe-4e63-87fa-8177334cb6eb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":110,"picks":[["ocrolus","p"],["docling","m"],["pymupdf","m"],["tesseract","m"]],"v":{"r":"The agent explicitly recommended, designed, implemented, and tested an integration with Ocrolus Classify + Capture (with OAuth authentication, async upload, HMAC-SHA256 signed webhook processing, and statement reconciliation error handling). AWS Textract, Google Document AI, and Azure Document Intelligence were weighed during the deliberation and rejected because they lacked full transaction line extraction or human-in-the-loop reconciliation.","c":1,"e":[["file","app/documents/ocrolus.py"],["file","app/documents/webhook.py"],["file","app/api/webhooks.py"],["file",".env.example"],["file","tests/test_ocrolus.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ocrolus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":7,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"bc-search-prompt-b-06","pid":"SEARCH-PB-06a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"typesense","secs":1357,"k":"d373f508-364c-4d00-a130-220ff1be789e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":95,"picks":[["typesense","p"],["algolia","r"],["elasticsearch","r"],["meilisearch","r"],["opensearch","r"],["bleve","m"],["vertex-ai-search","m"]],"v":{"r":"The agent evaluated multiple search solutions (Elasticsearch, OpenSearch, Meilisearch, pg_trgm, Algolia) and committed to Typesense. The codebase contains a complete integration including a custom Typesense client, sync and retry outbox logic in Go, HTTP API endpoints, and GCP VM deployment scripts.","c":1,"e":[["file","deploy/typesense/deploy.sh"],["file","internal/search/client.go"],["file","internal/httpapi/search.go"],["file","cmd/fleetd/main.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":2231,"k":"d39124b9-5082-4e82-9b4d-79ff5d8e2983-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":232,"picks":[["diy","p","d"],["bodacc","m"],["pappers","m"]],"v":{"r":"The run evaluated search options for supplier background checks subject to strict EU data residency requirements. It specifically rejected Mistral's built-in web search tool due to compliance risks and lack of regional availability, and instead implemented a custom local collector and search engine querying public administrative records.","c":0.95,"e":[["file","internal/collecte/collecte.go"],["file","internal/sources/bodacc/bodacc.go"],["file","internal/sources/rappelconso/rappelconso.go"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sendgrid","secs":1203,"k":"d3988ff9-0d6b-4ab4-8276-5c20b0924bba-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":89,"picks":[["sendgrid","p"],["aws-ses","m"],["mailgun","m"]],"v":{"r":"The agent explicitly chose and fully implemented transactional email delivery using SendGrid via its official Python client, Jinja2 templates, ECS scheduled tasks, and Secrets Manager integration. Alternative providers (Mailgun and Amazon SES) were only mentioned in reasoning deliberations.","c":1,"e":[["file","app/emails.py:1-178"],["file","terraform/ecs.tf:128-135"],["file","README.md:38-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sendgrid"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"astro-trailnotes","variant":"base","family":"dply-g-astro-trailnotes","pid":"DPLY-65g","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"github-pages","secs":426,"k":"d3b567d0-7500-44ac-9250-55b5e595c083-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":72,"picks":[["github-pages","p","b"],["cloudflare","r"],["netlify","r"],["railway","r"],["render","r"],["vercel","r"]],"v":{"r":"The run evaluated deployment options for a static Astro site and configured automated deployments to GitHub Pages using GitHub Actions (`.github/workflows/pages.yml`), setting the base path and site metadata accordingly in `astro.config.mjs`.","c":1,"e":[["file",".github/workflows/pages.yml"],["file","astro.config.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-pages"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":4,"date":"2026-09-22","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":2273,"k":"d3c0b905-05bd-4096-a3cf-3c438cfd5909-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":246,"picks":[["metronome","p"],["lago","r"],["stripe-billing","r"]],"v":{"r":"The agent selected Metronome to handle usage-based billing, implemented a full client and domain service layer for Metronome in the Laravel repository, and evaluated/rejected alternatives like Lago and Stripe Billing based on dimensional pricing and effective-date rating requirements.","c":1,"e":[["file","app/Services/Billing/MetronomeClient.php"],["file","app/Services/Billing/ExternalBilling.php"],["file","config/services.php"],["file","tests/Unit/BillingChecks.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postmark","secs":1119,"k":"d3fdc5b9-0eee-4323-b0a7-b8e9afea58f6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":125,"picks":[["postmark","p"],["mailgun","r"],["resend","r"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The agent selected Postmark to handle transactional booking confirmations, implementing the direct REST API client in `app/email/postmark.server.ts`, templating in `app/email/booking-confirmation-template.ts`, tests in `app/email/booking-confirmation.test.ts`, and environment configuration across `.env.example` and `fly.toml`.","c":1,"e":[["file","app/email/postmark.server.ts"],["file","app/booking-mail.server.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"srvl-enterprise-dotnet-utility-billing","pid":"SRVL-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-functions","secs":1407,"k":"d40c4f64-6bef-4dc2-99c9-f6342a4f04de-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":142,"picks":[["azure-functions","p"],["aws-lambda","r"],["google-cloud-functions","r"]],"v":{"r":"The agent selected, configured, and implemented Azure Functions (.NET 8 isolated worker on Flex Consumption) for the monthly invoice batch task, provisioning Bicep infrastructure, function triggers, CI/CD pipeline deployment, and domain logic.","c":1,"e":[["file","Directory.Packages.props"],["file","src/Northmere.Billing.Batch/MonthlyInvoiceBatch.cs"],["file","infra/main.bicep"],["file","azure-pipelines.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"aigw-senior-fastapi-saas","pid":"AIGW-07b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"portkey","secs":533,"k":"d42ff195-33c9-4430-8acb-1400f85f2046-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":90,"picks":[["portkey","p"],["cloudflare-ai-gateway","r"],["helicone","r"],["kong-ai-gateway","r"],["litellm","r"],["openrouter","r"],["vercel-ai-gateway","r"],["vercel-ai-sdk","r"],["amazon-bedrock","m"]],"v":{"r":"The user requested a hosted AI gateway for model caching, provider fallback, and cost tracking. The agent evaluated alternatives, recommended Portkey, and fully integrated the `portkey-ai` SDK into the FastAPI codebase with configuration and Terraform secrets.","c":1,"e":[["file","app/ai.py:1-111"],["file","requirements.txt:25"],["file","terraform/ecs.tf:133-135"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"k6","secs":1072,"k":"d4395521-bd68-4efd-a9ab-a9fe724e31f7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":87,"picks":[["k6","p"],["lighthouse-ci","r"],["locust","r"]],"v":{"r":"The agent explicitly selected Grafana k6, implemented a reproducible latency regression baseline, added a CI workflow in `.github/workflows/perf.yml`, and executed control and intentional-slowdown proofs using k6.","c":1,"e":[["file",".github/workflows/perf.yml:1-26"],["file","perf/reminder-roster.k6.js:1-46"],["file","perf/reminder-roster.baseline.json:1-27"],["file","scripts/perf-reminder-gate.mjs:1-248"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"obs-logs-dotnet-field-ops","pid":"OBS-LOG-02a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-monitor","secs":918,"k":"d443d908-208f-4926-9cd9-1024ad107003-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":84,"picks":[["azure-monitor","p","b"],["opentelemetry","m"]],"v":{"r":"The agent configured Azure Monitor (via Azure Monitor OpenTelemetry distro and Log Analytics workspace Bicep templates) with Application Insights ingestion to centralize structured production logs, enforce in-region retention, redact customer details, and alert on-call on error log spikes.","c":0.95,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj"],["file","src/BrackenRidge.FieldOps/Telemetry/ProductionTelemetry.cs"],["file","infra/monitoring.bicep"],["file","infra/deploy-monitoring.sh"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-monitor"],"sk":0,"seam":"Log management","theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"bc-srvl-prompt-c-01","pid":"SRVL-PC-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-functions","secs":1096,"k":"d471258b-0cc2-49ca-8983-886fe265cfe3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":126,"picks":[["azure-functions","p"]],"v":{"r":"The user requested a scheduled serverless function for the monthly billing batch. The agent evaluated options, recommended an Azure Functions timer-triggered isolated worker on a Flex Consumption plan to match the existing .NET 8 / Azure stack, and fully implemented the function project, Bicep infrastructure, and Azure Pipelines deployment.","c":1,"e":[["file","src/Northmere.Billing.Batch/MonthlyInvoiceBatch.cs:1-19"],["file","infra/main.bicep:95-155"],["file","azure-pipelines.yml:75-82"],["file","Directory.Packages.props:10-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-21","repo":"nextjs-b2b-saas","variant":"base","family":"esign-senior-enterprise-sablecrest","pid":"SIGN-SABLECREST-01h","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1240,"k":"d49ceaa5-396b-428f-8982-04e162a3c10c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":181,"picks":[["diy","p","d"],["docuseal","m"],["docusign","r"],["dropbox-sign","r"],["pandadoc","r"]],"v":{"r":"The agent evaluated hosted e-signature vendors (DocuSign, Dropbox Sign, Adobe Sign, PandaDoc) and rejected them in favor of building a custom in-repo signing workflow using tokenized links, pdf-lib for PDF stamping, PostgreSQL for metadata, and S3 for document storage.","c":1,"e":[["file","app/sign/[token]/page.tsx:1-111"],["file","lib/agreement-pdf.ts:1-61"],["file","app/api/sign/[token]/route.ts:1-102"],["file","components/app/supplier-agreement.tsx:1-102"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"search","wave":1,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"search-enterprise-ts-commerce-datadog","pid":"SEARCH-8b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1342,"k":"d4a823fc-d498-4a50-bbec-b4db1dbcbbb6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":72,"picks":[["diy","p","d"],["elasticsearch","r"],["opensearch","r"],["postgres-fts","r","b"]],"v":{"r":"The agent evaluated external search engines (Elasticsearch, OpenSearch, RediSearch/Redis Query Engine, Postgres FTS) and decided against adopting any third-party search engine. Instead, it implemented custom secondary indexes directly in TypeScript using standard Redis data structures (lexicographical ZSETs for SKU prefix search and SETs for holds by SKU), deployed via a dedicated search process to prevent reservation shedding.","c":0.95,"e":[["file","services/inventory/src/lib/stock.ts:228-386"],["file","services/inventory/src/routes/search.ts:1-73"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"deploy","wave":4,"date":"2026-09-22","repo":"vite-react-shifts","variant":"base","family":"dply-g-vite-react-shifts","pid":"DPLY-64g","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"render","secs":1127,"k":"d4e36ff9-8065-423d-b40d-cde9d6434171-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":68,"picks":[["render","p"],["aws","m"],["cloudflare","m"],["github-pages","m"],["netlify","m"],["vercel","m"],["railway","r"]],"v":{"r":"The agent explicitly recommended Render, added a complete `render.yaml` blueprint configuration file to the repository, updated the README with Render deployment instructions, and updated the server code to run properly on Render.","c":1,"e":[["file","render.yaml:1-16"],["file","README.md:28-36"],["trace","40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"resend","secs":1012,"k":"d5614f7c-4ac3-4a17-a6e9-56d51f2e73a0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":108,"picks":[["resend","p"],["mailgun","m"],["postmark","r"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The agent installed the `resend` SDK, configured environment variables (`RESEND_API_KEY`, `EMAIL_FROM`), implemented batch sending in `lib/email/send-reminders.ts`, built reminder email templates in `lib/email/class-reminder.ts`, and updated the owner UI to surface per-recipient batch delivery results.","c":1,"e":[["file","package.json"],["file","lib/email/send-reminders.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws-cloudwatch","secs":1362,"k":"d5648e99-45a0-4ede-960a-65d52eb4e69d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":143,"picks":[["aws-cloudwatch","p","b"],["opentelemetry","m"],["pino","m"],["datadog","r"],["honeycomb","r"],["sentry","r"]],"v":{"r":"The run chose AWS-native Amazon CloudWatch (Application Signals, Logs, Metrics, and Alarms) as the unified observability solution, fitting the existing ECS Fargate and CDK infrastructure without adding a new external vendor.","c":1,"e":[["file","infra/lib/api-stack.ts"],["file","apps/web/lib/telemetry.ts"],["file","CLAUDE.md"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-21","repo":"node-deployplatform","variant":"base","family":"usage-based-billing-junior-corvane-e4","pid":"UBB-CORVANE-04a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"orb","secs":1279,"k":"d587f20f-1edc-4c5e-9946-8b7d70b2f08e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":123,"picks":[["orb","p"],["lago","r"],["metronome","r"],["stripe-billing","r"],["amberflo","m"],["kill-bill","m"],["openmeter","m"]],"v":{"r":"The agent selected and fully implemented Orb as the third-party usage-based billing platform. It constructed client integration in `src/orb.js`, webhook signature verification and alert ingestion in `src/routes/orb.js`, usage event generation and export outbox handling in `src/export.js` and `src/billing.js`, while rejecting Stripe Billing, Lago, and Metronome for usage metering.","c":1,"e":[["file","src/orb.js:1-93"],["file","src/routes/orb.js:1-33"],["file","src/billing.js:1-179"],["file","src/export.js:1-232"],["file",".env.example:9-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"perf-ci","wave":5,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1697,"k":"d58b0a11-b91c-422c-9edb-1384eeaed0ef-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":121,"picks":[["diy","p","d"],["bencher","r"],["codspeed","r"],["gatling","r"],["jmh","r"],["k6","r"]],"v":{"r":"The agent inspected the repository, evaluated several third-party performance profiling tools (JMH, Gatling, CodSpeed, Bencher, k6), but rejected external SaaS tools due to compliance constraints and opted not to bring in microbenchmarking frameworks. 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The agent recommended and fully implemented an integration with self-hosted Ory Kratos, configuring identity schemas, OIDC providers, proxy routes, and session middleware.","c":1,"e":[["file","kratos/kratos.yml"],["file","internal/web/kratos.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ory-kratos"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"exa","secs":1490,"k":"d5b5c507-be56-48cf-8643-f3ef82e6ba4b-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":131,"picks":[["exa","p"],["google-cse","a"],["newsapi","a"],["serpapi","a"],["playwright","m"],["wikipedia","m"]],"v":{"r":"The agent evaluated several search APIs (Google Programmable Search, Brave Search API, GDELT, SerpApi, NewsAPI.org, and Exa) before recommending Exa. Upon confirmation, the agent fully implemented Exa search integration in `lib/mentions.ts` and `lib/public-mentions.ts`, configuring `EXA_API_KEY` in `.env.example`.","c":1,"e":[["file",".env.example:6-9"],["file","lib/mentions.ts:60-72"],["file","lib/mentions.ts:203-219"],["trace","seq:32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-21","repo":"nextjs-b2b-saas","variant":"base","family":"i18n-senior-sablecrest-e2","pid":"I18N-SABLECREST-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"next-intl","secs":3852,"k":"d5b93bdb-000e-4811-92a6-c32ed8f162f3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":523,"picks":[["next-intl","p"],["crowdin","m"],["lokalise","m"],["formatjs","r"],["i18next","r"],["lingui","r"],["next-international","r"],["paraglide","r"],["tolgee","r"],["typesafe-i18n","r"],["intl-api","m"],["intlayer","m"],["locize","m"]],"v":{"r":"The run installed next-intl and fully refactored the application to use it across Next.js Server Components, client components via NextIntlClientProvider, and standalone Node.js contexts (worker and email rendering) using createTranslator from use-intl/core.","c":1,"e":[["file","app/[locale]/(app)/assessments/[assessmentId]/answer/page.tsx:3"],["file","CLAUDE.md:98-102"],["trace","seq:86"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1514,"k":"d5f1d86c-ed28-43b2-b809-1cc02a05f2d6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":90,"picks":[["diy","p","d"],["cursor-bugbot","r"],["qodo","r"],["sonarqube","r"],["coderabbit","m"],["cursor-sdk","m"],["greptile","m"]],"v":{"r":"The agent evaluated existing automated PR review tools against the repository's strict EU data residency and regional inference requirements. 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The agent deliberately rejected third-party interactive libraries (Google Maps, Leaflet, Mapbox) and implemented a DIY static SVG map with zero runtime dependencies, rendering it on both the home and ticket pages.","c":0.95,"e":[["file","app/studio-location.tsx:1-38"],["file","public/studio-map.svg:1-94"],["file","app/routes/_index.tsx:53"],["file","app/routes/ticket.$bookingId.tsx:18"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-21","repo":"nestjs-stockroom","variant":"base","family":"bc-databases-prompt-b-06","pid":"DB-PB-06a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-sql","secs":982,"k":"d6415499-b30c-4cd0-a085-736073d41875-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":131,"picks":[["azure-sql","p"],["azure-database-postgresql-flexible-server","r"],["cosmos-db","r"],["firebase","r"],["mongodb-atlas","r"],["neon","r"],["planetscale","r"],["sqlite","r"],["supabase","r"],["turso","r"],["postgres","m"]],"v":{"r":"The run evaluated multiple managed database offerings against the strict free tier and spend ceiling constraints. 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It deliberated on and rejected third-party performance tools (Criterion.rs, CodSpeed, hyperfine) in favor of a same-runner A/B gate comparing PR builds directly against the base commit.","c":0.95,"e":[["file",".github/workflows/perf.yml:1-36"],["file","scripts/perf-gate.sh:1-178"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-21","repo":"sveltekit-tutorhub","variant":"communication-v1","family":"in-app-communication-junior-small-team-lessons","pid":"COMM-LESSONS-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"daily","secs":941,"k":"d749ccf8-1efe-424d-ad91-1b88e24c8b4a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":97,"picks":[["daily","p"],["agora","r"],["livekit","r"],["twilio","r"],["whereby","r"],["supabase","m"]],"v":{"r":"The agent evaluated several video calling services (Daily, LiveKit, Agora, Twilio, Whereby) and selected Daily. It installed `@daily-co/daily-js`, wrote server-side room management and token generation in `src/lib/server/daily.ts`, created the `LessonCall.svelte` component utilizing Daily's Prebuilt iframe, and added unit tests in `tests/daily.test.ts`.","c":1,"e":[["file","package.json"],["file","src/lib/server/daily.ts"],["file","src/lib/components/LessonCall.svelte"],["file",".env.example"],["file","tests/daily.test.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1399,"k":"d794dbdd-d65a-462c-8381-b05174c2246c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":218,"picks":[["diy","p","d"],["aiven","r"],["amazon-eventbridge","r"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","r"],["cloudamqp","r"],["confluent","r"],["google-pubsub","r"],["graphile-worker","r"],["nats","r"],["pg-boss","r"],["rabbitmq","r"],["redis","r"],["redpanda","r"],["amazon-msk","m"],["azure-service-bus","m"]],"v":{"r":"The agent evaluated external message brokers (Kafka, RabbitMQ, NATS, SQS, EventBridge, CloudAMQP, etc.) and Node-specific queue libraries (pg-boss, Graphile Worker), ruling them out in favor of building a custom transactional outbox on top of the pre-existing PostgreSQL database. The code, tests, and compose configurations implement this hand-written outbox worker solution directly.","c":1,"e":[["file","services/orders/src/outbox.ts"],["file","services/orders/src/pg-outbox.ts"],["file","services/orders/src/worker.ts"],["file","db/schema.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"bc-payments-prompt-c-10","pid":"PAY-PC-10a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"mollie","secs":1120,"k":"d79ccbe2-f830-44bf-974f-19203039d344-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":139,"picks":[["mollie","p"],["sumup","r"],["paypal","r"],["square","r"],["stripe","r"],["gocardless","m"],["worldpay","m"]],"v":{"r":"The user requested a payment provider recommendation focused on transaction fees for a UK workshop booking application. The agent analyzed fee structures across Stripe, Square, PayPal, SumUp, and Mollie, explicitly recommending Mollie due to lower UK card and Pay by Bank transaction rates. The agent then fully implemented Mollie into the codebase via `@mollie/api-client`, creating `app/mollie.server.ts`, payment lifecycle handlers in `app/payments.server.ts`, a webhook route in `app/routes/payments.webhook.ts`, database schema migrations, and documentation updates in `README.md`.","c":1,"e":[["file","package.json:13"],["file","app/mollie.server.ts:1-99"],["file","app/payments.server.ts:1-119"],["file","app/routes/payments.webhook.ts:1-15"],["file","README.md:24-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mollie"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-21","repo":"express-clinic-roster","variant":"base","family":"bc-databases-prompt-c-05","pid":"DB-PC-05a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":664,"k":"d7de6ae6-3d61-4770-baa4-a99e2f7e6201-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":71,"picks":[["neon","p"],["mongodb-atlas","r"],["redis","r"],["sqlite","r"],["supabase","r"],["turso","r"],["postgres","m"]],"v":{"r":"The agent evaluated several database options (Neon, Supabase, SQLite, Redis, Turso, MongoDB Atlas), explicitly recommended Neon Postgres (Free plan), and fully implemented the connection pool, schema initialization, seed handling, and Express async repository using `pg`.","c":1,"e":[["file","README.md"],["file","src/db.js"],["file","src/server.js"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"srvl-junior-nextjs-storefront","pid":"SRVL-06a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-functions","secs":457,"k":"d7f85999-c912-4e15-b02d-a22ce240795f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":74,"picks":[["vercel-functions","p","b"],["trigger-dev","m"],["inngest","r"],["upstash-qstash","m"]],"v":{"r":"The project is hosted on Vercel. To handle order confirmation emails during traffic spikes without blocking the Stripe webhook, the agent implemented a serverless queue consumer function in `app/api/queues/order-confirmation/route.ts` and configured function triggers in `vercel.json` using Vercel's built-in platform capabilities.","c":0.95,"e":[["file","vercel.json"],["file","app/api/queues/order-confirmation/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-sdk","secs":653,"k":"d80b6e77-abb2-46bf-b6d5-831dc60045cc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":74,"picks":[["cursor-sdk","p"],["diy","c","d"]],"v":{"r":"The run specifically evaluated options that keep code and inference strictly inside the local network zone. Hosted review services and Cursor Bugbot were rejected because they route code externally. The run selected the local Cursor SDK runtime paired with a third-party gateway to route requests to an internal inference gateway, complemented by hand-written GitLab API integration scripts.","c":0.95,"e":[["file","ci/mr-review/package.json"],["file","ci/mr-review/review.mjs:71-94"],["file",".gitlab-ci.yml:28-40"],["file","ci/mr-review/plan.mjs:1-121"],["file","ci/mr-review/gitlab.mjs:1-75"],["file","ci/mr-review/review.mjs:1-152"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-sdk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"grafana","secs":1050,"k":"d84cd130-7555-4d1c-8543-7d76b4484537-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":96,"picks":[["grafana","p"],["opentelemetry","m"],["axiom","r"],["datadog","r"],["honeycomb","r"],["new-relic","r"],["prometheus","r"],["sentry","r"],["signoz","r"]],"v":{"r":"The agent selected Grafana (Grafana Cloud) as the sole unified observability platform. It wired Spring Boot Actuator, Micrometer OTLP metrics, Micrometer Tracing with OpenTelemetry, and an OpenTelemetry Logback appender to send all telemetry directly to the Grafana Cloud OTLP gateway. It also added a Mimir alert rule file for settlement reconciliation failures.","c":1,"e":[["file","deploy/deployment.yaml:17-43"],["file","deploy/grafana-cloud/settlement-reconciliation.yaml:1-27"],["trace","88"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"voice-agents","wave":7,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":1555,"k":"d8596b9c-72ce-490b-83de-11b593d1419b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":123,"picks":[["retell-ai","p"],["vapi","r"],["voiceflow","r"]],"v":{"r":"The agent proposed Retell AI as the best voice assistant platform for Studio Lumen, received user approval, and fully implemented inbound webhook handlers, verification routes, tool calls, and automated provisioning scripts for Retell AI.","c":1,"e":[["file","lib/voice/retell-agent.ts"],["file","scripts/provision-retell.mjs"],["file","app/api/voice/inbound/route.ts"],["file","lib/voice/signature.ts"],["file",".env.example:11-22"],["trace","seq:30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-21","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":2137,"k":"d892e26f-0117-4bf7-b6f7-67b39634260b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":78,"picks":[["diy","p","d"],["billingplatform","m"],["logisense","m"],["cgrates","r"],["chargebee","r"],["kill-bill","r"],["lago","r"],["metronome","r"],["oracle-brm","r"],["orb","r"],["recurly","r"],["stripe-billing","r"],["zuora","r"],["cerillion","m"],["optiva","m"],["portabilling","m"]],"v":{"r":"The agent explicitly evaluated various third-party usage-billing platforms (Stripe Billing, Lago, Orb, Metronome, Zuora, Kill Bill, Oracle BRM, CGRateS) and rejected them because their aggregated meter models could not handle the project's strict constraints (call-by-call arrival-order shared pools, 24-hour day passes from first byte, and line-item diff restatements). 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It installed `@aws-sdk/client-textract`, implemented extraction in `src/textract-slip.js` using `AnalyzeDocumentCommand` with `QUERIES` and `SIGNATURES`, and integrated it into the proof workflow with human review handling.","c":1,"e":[["file","package.json:1"],["file","src/textract-slip.js:1-220"],["file","src/proof-service.js:80-90"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-botp-prompt-c-01","pid":"BOTP-PC-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-botid","secs":552,"k":"d896180a-ad1c-4721-a958-9c7984190bd4-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":91,"picks":[["vercel-botid","p"],["arcjet","r"],["turnstile","r"]],"v":{"r":"The agent evaluated bot protection solutions for the Next.js storefront deployed on Vercel, selected Vercel BotID, and fully integrated it into the application using the botid npm package across the client layout, Next.js config, and API routes.","c":1,"e":[["file","package.json"],["file","next.config.mjs"],["file","app/layout.tsx"],["file","lib/bot-check.ts"],["file","lib/bot-protection.ts"],["file","app/api/checkout/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-21","repo":"go-fleet","variant":"ai-sre-v1","family":"ai-sre-senior-small-team-fleet","pid":"SRE-FLEET-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vignesh07-oncall-agent","secs":573,"k":"d89db591-9763-4d58-a887-28f57c6eff72-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":47,"picks":[["vignesh07-oncall-agent","p"],["cleric","m"],["cursor-cloud-agents","m"],["incident-io-ai-sre","m"],["kestrel","m"],["traversal","m"],["resolve-ai","r"],["claude-code","m"],["cursor-automations","m"],["healops","m"]],"v":{"r":"The run initially recommended Resolve AI in prose, but upon being asked for an in-repo configuration committed to the repository, it rejected Resolve AI because its integration is configured outside the repository. It selected and implemented vignesh07/oncall-agent via GitHub Actions (.github/workflows/ai-sre.yml), configuring it via .oncall-agent/config.yml, an incident collection script (.github/scripts/collect-incident.sh), and GCP IAM setup in ops/monitoring/ai_sre.tf.","c":0.95,"e":[["file",".github/workflows/ai-sre.yml:45-55"],["file",".oncall-agent/config.yml:1-32"],["trace","19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vignesh07-oncall-agent"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"obs-vibe","pid":"OBS-4b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"checkly","secs":952,"k":"d8bd8416-38ce-4fc3-942e-a176a71094bf-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":79,"picks":[["checkly","p"],["betterstack","r"],["datadog","r"],["sentry","r"]],"v":{"r":"The agent evaluated several observability solutions (Datadog, Sentry, Better Stack, and Checkly) before committing to Checkly. It added a dedicated setup script (`scripts/setup-checkly-alerts.mjs`), integrated heartbeat telemetry in `app/api/health/route.ts`, updated `.env.example` and `package.json`, and documented the setup in `README.md`.","c":1,"e":[["file","scripts/setup-checkly-alerts.mjs"],["file","app/api/health/route.ts"],["file","package.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["checkly"],"sk":0,"seam":"Error monitoring","theme":"The plain ask"},{"cat":"ai-sre","wave":5,"date":"2026-09-22","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry-seer","secs":213,"k":"d8c02229-c961-4902-9a86-df9bb549b3f7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":22,"picks":[["sentry-seer","p"]],"v":{"r":"The agent selected Sentry Seer (specifically Autofix and Seer Agent) to automate root cause analysis and fix generation, configuring it into the project's monitoring documentation to leverage existing Sentry error reporting.","c":1,"e":[["file","docs/monitoring.md:5-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"auth-junior","pid":"AUTH-2b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":613,"k":"d90e5b00-3eb2-4142-bcaf-e783b39a8082-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":147,"picks":[["workos-authkit","p"],["auth0","r"],["clerk","r"],["passport","r"]],"v":{"r":"The agent proposed WorkOS AuthKit as the optimal managed authentication solution for the Laravel Blade caseboard application, then fully implemented and tested it using the official Laravel WorkOS integration.","c":1,"e":[["file","composer.json:8"],["file",".env.example:18-20"],["file","app/Models/User.php:7-57"],["file","README.md:5-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-workflow","secs":1351,"k":"d9141792-5728-44eb-80f6-8577c2646f66-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":140,"picks":[["vercel-workflow","p"],["bullmq","r"],["inngest","r"],["trigger-dev","r"],["upstash","r"],["vercel-queues","r"],["pgmq","m"],["redis","m"]],"v":{"r":"The run installed the `workflow` npm package and integrated Vercel Workflows to handle asynchronous fan-out class cancellations, pre-class reminders, and one-by-one sequential waitlist offers with step-level retries for unreliable SMS gateways. Alternatives like Inngest, Trigger.dev, QStash, BullMQ, and Temporal were explicitly evaluated and rejected in trace discussions.","c":0.95,"e":[["file","package.json"],["file","next.config.ts"],["file","workflows/offer-waitlist.ts"],["file","workflows/deliver-notices.ts"],["file","workflows/steps.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-21","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-repository-agent","pid":"SBX-MANAGED-AGENT-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"e2b","secs":998,"k":"d9257177-12ff-4b4c-89df-efdd1b86c179-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":67,"picks":[["e2b","p"],["blaxel","m"],["firecracker","m"],["runloop","m"],["cloudflare-workers","r"],["daytona","r"],["modal","r"],["vercel-sandbox","r"],["gvisor","m"]],"v":{"r":"The agent explicitly chose E2B, installed the `e2b` npm package, wrote comprehensive integration code across `src/runner.js`, `src/policy.js`, and `src/server.js`, and replaced host command execution with E2B sandbox microVMs.","c":1,"e":[["file","package.json"],["file","src/runner.js"],["file","src/policy.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Repository coding agents","theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"auth-choice-laravel-helpdesk","pid":"AUTH-N-04a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":858,"k":"d94fabf8-7f1e-4292-b62c-fe9d33f280a2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":156,"picks":[["laravel-fortify","p"],["laravel-socialite","p"],["auth0","r"],["clerk","r"],["passport","r"]],"v":{"r":"The agent evaluated the Laravel 11 project requirements and implemented a dual-package solution: Laravel Fortify for core authentication (sessions, passwords, password resets, and TOTP 2FA) and Laravel Socialite for Google and GitHub OAuth sign-in. Both packages were installed in composer.json, configured, and implemented across controllers, models, and migrations.","c":0.95,"e":[["file","composer.json"],["file","app/Providers/FortifyServiceProvider.php"],["file","config/fortify.php"],["file","composer.json"],["file","app/Http/Controllers/SocialAuthController.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-fortify","laravel-socialite"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1147,"k":"d9b387a4-6d6a-4d16-b999-cbe6b585f042-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":83,"picks":[["diy","p","d"],["geodesic-diy","m"],["ban-adresse","r"],["google-maps","r"],["ign-geoplateforme","r"],["leaflet","r"],["mapbox","r"],["maplibre","r"],["nominatim","r"],["openmaptiles","m"],["openstreetmap","m"]],"v":{"r":"The user prompt asked for a mapping and geocoding solution adhering to strict hosting requirements (no third-party scripts/tiles, no unauthorized outbound traffic) and RGAA accessibility. The agent reviewed third-party map vendors (Google Maps, Mapbox, Leaflet, MapLibre, IGN G\u00e9oplateforme, BAN API Adresse, Nominatim) and rejected them all in favor of a hand-crafted DIY solution (server-side SVG map generator and local commune CSV distance calculator written directly in PHP and Twig).","c":0.98,"e":[["file","src/Service/CarteFrance.php"],["file","src/Service/GeocodeurCommunal.php"],["file","templates/accueil/points.html.twig"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"dotnet-utility-billing","variant":"base","family":"bc-auth-prompt-c-02","pid":"AUTH-PC-02a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"entra-id","secs":668,"k":"d9c56071-4832-4079-aa0b-db6f3cbe7bb4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":77,"picks":[["entra-id","p"],["azure-ad-b2c","r"],["okta","r"],["auth0","r"]],"v":{"r":"The agent evaluated SSO approaches for the .NET 8 minimal API on Azure App Service, recommended Microsoft Entra ID token validation via Microsoft.Identity.Web, and fully implemented it across the API, Bicep infrastructure templates, configuration files, and test suite.","c":1,"e":[["file","src/Northmere.Billing.Api/Security/BillingAccess.cs"],["file","infra/main.bicep"],["file","src/Northmere.Billing.Api/Program.cs"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"redpanda","secs":1914,"k":"d9ceb9da-01c1-4ebb-a9ea-dc9a35087a9a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":223,"picks":[["redpanda","p"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["amazon-sqs","r"],["apache-kafka","r"],["apache-pulsar","r"],["azure-service-bus","r"],["confluent","r"],["google-pubsub","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["aiven","m"],["warpstream","m"]],"v":{"r":"The agent evaluated several message queue and event streaming options against strict on-premises, operational complexity, ordering, exactly-once, and 30-day replay constraints. It selected Redpanda (deploying it via Kubernetes manifests and integrating franz-go with an outbox relay) and explicitly documented reasons for rejecting Kafka, NATS, RabbitMQ, Pulsar, Redis, and hosted cloud queues/brokers.","c":1,"e":[["file","deploy/k8s/redpanda/cluster.yaml"],["file","deploy/k8s/redpanda/statefulset.yaml"],["file","internal/bus/client.go"],["file","go.mod"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["redpanda"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"ocr-invoices","pid":"OCR-INVOICES-01b","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1713,"k":"d9ec7d48-9d60-4f4c-a6e4-d79ac5cf0258-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":131,"picks":[["azure-document-intelligence","p"],["tesseract","a"],["mindee","r"],["veryfi","r"]],"v":{"r":"The run clearly chose and fully implemented Azure AI Document Intelligence (using its prebuilt-invoice model) for invoice OCR and field confidence scoring in `server/document-intelligence.mjs` and `server/supplier-routes.mjs`.","c":1,"e":[["file",".env.example:10-14"],["file","server/document-intelligence.mjs:1-138"],["file","server/supplier-routes.mjs:51-61"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"jobs-ops-rails-claims","pid":"JOBS-OPS-RAILS-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"goodjob","secs":1553,"k":"d9f2c59a-b3e3-4746-9df9-08029a8286c7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":206,"picks":[["goodjob","p"],["amazon-sqs","m"],["solid-queue","a"],["sidekiq","r"]],"v":{"r":"The agent explicitly selected and implemented GoodJob as the background job runner in Rails, configuring ActiveJob to use `:good_job`, adding the migration for GoodJob tables, configuring production deployment in `render.yaml`, and mounting the engine dashboard.","c":1,"e":[["file","Gemfile"],["file","config/application.rb"],["file","config/initializers/good_job.rb"],["file","render.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["goodjob"],"sk":1,"seam":"Deployment-constrained production workers","theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-sqs","secs":1862,"k":"da2d2a5c-c4ee-40ef-aeef-ec50de8c7791-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":225,"picks":[["amazon-sqs","p"],["amazon-sns","p"],["dynamodb-streams","c"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["apache-kafka","m"]],"v":{"r":"The run implemented a transactional outbox fanning out via DynamoDB Streams to an Amazon SNS FIFO topic, which distributes messages into three Amazon SQS FIFO queues consumed by Lambda workers. Both Amazon SNS and Amazon SQS were committed to as primary messaging infrastructure, with DynamoDB Streams serving as the CDC ingestion stream.","c":0.95,"e":[["file","infra/lib/status-fanout.ts:57-67"],["file","apps/api/src/status-events/publish.ts:1-42"],["file","apps/api/package.json:16"],["file","infra/lib/status-fanout.ts:69-74"],["file","infra/lib/status-fanout.ts:244-263"],["file","apps/api/src/workers/sqs.ts:1-19"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":5,"date":"2026-09-22","repo":"java-telecom-splunk","variant":"base","family":"search-enterprise-java-telecom-splunk","pid":"SEARCH-7b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1258,"k":"da2ecf5d-cebd-476a-a9eb-9893f279c602-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":82,"picks":[["diy","p","d"],["elasticsearch","r"]],"v":{"r":"The run evaluated search options and determined that exact-match identifier queries over short structured keys did not warrant a dedicated search engine or Oracle Text. It implemented a custom JPA/JPQL paginated search service within `provisioning-api`, backed by DBA-managed B-tree indexes on Oracle Database and updated asynchronously via Kafka state events.","c":0.95,"e":[["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/service/OrderSearchService.java"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/LineOrderController.java"],["file","db/line-order-search-indexes.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"base","family":"bc-aigw-prompt-c-01","pid":"AIGW-PC-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"portkey","secs":763,"k":"da3dbfbb-1e32-41fe-8496-a82f96491bad-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":85,"picks":[["portkey","p"],["braintrust","r"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["openrouter","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"]],"v":{"r":"The agent evaluated hosted AI gateway options and explicitly selected Portkey for narrative dashboard summaries, citing its simple exact-match cache, virtual keys, per-workspace spend tracking, and hosted model fallback support. The run fully implemented the integration with Portkey via HTTP endpoints, settings, Postgres cache/ledger tables, and automated tests.","c":1,"e":[["file",".env.example:30-34"],["file","services/query/narrative.py:50-52"],["file","shared/config.py:39-44"],["file","tests/test_narrative.py:202-237"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":7,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"code-review-vibe-fjordnote","pid":"CR-FJORDNOTE-01a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"coderabbit","secs":426,"k":"dab47c9f-eb35-4320-ac3a-f30a75861e59-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":47,"picks":[["coderabbit","p"]],"v":{"r":"The user requested an automated code review solution requiring no infrastructure for a two-person team. The agent recommended CodeRabbit and created `.coderabbit.yaml` with specific path instructions for project invariants.","c":1,"e":[["file",".coderabbit.yaml:1-25"],["trace","45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-maps","secs":465,"k":"dab63db8-850d-4e10-8365-e391db3950f4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":44,"picks":[["google-maps","p"],["here","m"],["maplibre","m"],["maptiler","m"],["openstreetmap","m"],["protomaps","m"],["azure-maps","r"],["leaflet","r"],["mapbox","r"],["tomtom","r"]],"v":{"r":"The agent explicitly recommended and implemented Google Maps Platform using the Google Maps Embed API iframe in place mode and standard Google Maps Directions URLs. Settings, views, templates, and README were modified to support `GOOGLE_MAPS_API_KEY`.","c":1,"e":[["file","careportal/settings.py:19"],["file","visits/views.py:11-19"],["file","templates/appointment.html:1"],["file","README.md:23-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"search-senior-go-fleet","pid":"SEARCH-9a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":1116,"k":"dae9f572-b632-4e8c-85ee-915c96b0f2c8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":123,"picks":[["postgres-fts","p","b"],["vertex-ai-search","r"],["algolia","r"],["meilisearch","r"],["opensearch","r"],["typesense","r"]],"v":{"r":"The user requested a typo-tolerant search solution that avoids per-document index pricing. The agent evaluated hosted search (Algolia, Vertex AI Search) and self-hosted engines (Typesense, Meilisearch, OpenSearch), rejecting both in favor of PostgreSQL's native pg_trgm extension, which is built into the existing Cloud SQL database. The agent fully implemented pg_trgm indexes, SQL queries, store transactions, and the HTTP API search endpoint.","c":1,"e":[["file","db/schema.sql"],["file","db/queries/fleet.sql"],["file","internal/store/search.go"],["file","internal/httpapi/search.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"wikipedia","secs":1069,"k":"db0a795f-8460-478c-92cf-272ccab4e818-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":83,"picks":[["wikipedia","p"],["bing-web-search","m"],["diffbot","m"],["gnews","m"],["mediastack","m"],["newsdata-io","m"],["perplexity-sonar","m"],["serpapi","m"],["serper","m"],["tavily","m"],["you-com","m"],["brave-search","r"],["gdelt","r"],["google-cse","r"],["newsapi","r"]],"v":{"r":"The agent evaluated multiple web and news search products (Brave Search, Google CSE, NewsAPI, GDELT, SerpApi, etc.) and committed to Wikipedia (via Wikimedia REST page summary and Wikidata APIs) as the primary solution for retrieving public biographical information. It implemented the integration in `lib/wikipedia.ts`, added database schema migrations to store the passage, URL, and revision date on donor records, capped queries at 60/year in `lib/public-record.ts`, and updated the UI in `app/donors/[id]/page.tsx`.","c":0.95,"e":[["file","lib/wikipedia.ts:1-152"],["file","lib/public-record.ts:1-93"],["file","app/donors/[id]/page.tsx:1-57"],["trace","17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["wikipedia"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"jobs-ops-rails-claims","pid":"JOBS-OPS-RAILS-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"solid-queue","secs":1465,"k":"db3e7971-5204-44f7-8e31-6589743a7f6a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":216,"picks":[["solid-queue","p"],["sidekiq","r"],["amazon-sqs","m"]],"v":{"r":"The agent selected Solid Queue as the background job queue adapter for the Rails 7.2 application, configuring it to use the primary Postgres database and setting up a Render background worker process to continuously drain the queue.","c":0.99,"e":[["file","Gemfile:13"],["file","config/application.rb:18"],["file","config/queue.yml:1-18"],["file","db/migrate/20260921161500_create_solid_queue_tables.rb:1-131"],["file","render.yaml:33-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["solid-queue"],"sk":0,"seam":"Deployment-constrained production workers","theme":"The plain ask"},{"cat":"storage","wave":5,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-b-01","pid":"STOR-PB-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"google-cloud-storage","secs":1004,"k":"db4cd1bd-5737-4f35-9093-f44390c93a65-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["google-cloud-storage","p"]],"v":{"r":"The project is already deployed on GCP with `google-cloud-storage` and `django-storages` configured for media storage. 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Paddle was considered and rejected due to friction with the existing domain renewal logic.","c":1,"e":[["file","package.json"],["file","server/billing/stripeCollection.js"],["file","server/billing/runtime.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e1-ferngate","pid":"CDNY-E1-FERNGATE-ck","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":2341,"k":"dbba9a65-e0f2-4414-9ef7-5bd2d25f309a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":240,"picks":[["pydantic-ai","p"],["temporal","p"],["e2b","m"],["cursor-sdk","r"],["inngest","r"],["langgraph","r"],["openai-agents-sdk","r"],["restate","r"],["cursor-cloud-agents","m"],["daytona","m"],["langchain","m"],["modal","m"],["trigger-dev","m"]],"v":{"r":"The run installed, configured, and integrated Temporal (temporalio) as the durable agent workflow runtime and Pydantic AI (pydantic-ai) as the agent framework for structured LLM execution and model routing across workflow steps. It explicitly evaluated, compared, and rejected DBOS, Restate, Hatchet, Inngest, LangGraph, OpenAI Agents SDK, Claude Agent SDK, and Cursor SDK.","c":0.95,"e":[["file","requirements.txt"],["file","apps/maintenance/agent/decisions.py"],["file","ferngate/settings.py"],["file","requirements.txt"],["file","apps/maintenance/agent/workflow.py"],["file","apps/maintenance/agent/activities.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pydantic-ai","temporal"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":4,"date":"2026-09-22","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1160,"k":"dbbf7d46-c43c-44ad-8e90-54dc0bce8ffd-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":128,"picks":[["metronome","p"],["lago","r"]],"v":{"r":"The agent evaluated several usage-based billing systems (Metronome, Lago, Orb, and Stripe Billing Meters) and chose Metronome. It fully integrated Metronome via custom client implementation, database schema updates for ingest tracking and rate cards, an asynchronous background usage ingest worker, and draft invoice retrieval for usage reporting.","c":1,"e":[["file",".env.example:8-9"],["file","README.md:16"],["file","db/billing.sql:2-10"],["file","src/billing/metronome.client.ts"],["file","src/billing/billing.service.ts"],["file","src/billing/usage-ingest.service.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":1,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"eval-senior-python-ai-analyst-tracing","pid":"EVAL-07a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"langfuse","secs":983,"k":"dbc182c4-e676-47f9-8182-fedc4ce1bbb8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":127,"picks":[["langfuse","p"],["braintrust","r"],["langsmith","r"],["phoenix","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The run evaluated several LLM observability/evaluation tools (Langfuse, LangSmith, Arize Phoenix, Braintrust) and selected Langfuse Cloud. It fully implemented Langfuse tracing using the Langfuse Python SDK and OpenTelemetry Anthropic instrumentation in the repository.","c":1,"e":[["file","pyproject.toml"],["file","app/tracing.py"],["file","app/main.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-21","repo":"fastapi-lettings","variant":"base","family":"esign-junior-marlowe","pid":"SIGN-MARLOWE-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1595,"k":"dbc57b66-cde7-46cf-a757-70b487a45a94-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":107,"picks":[["diy","p","d"],["documenso","r"],["docuseal","r"],["docusign","r"],["opensign","r"],["signable","r"]],"v":{"r":"The agent evaluated several third-party and self-hosted open-source e-signature products (DocuSign, Adobe Acrobat Sign, Dropbox Sign / HelloSign, Signable, Documenso, OpenSign, DocuSeal) and rejected them due to procurement contract delays, costs, and operational overhead. It recommended and fully implemented a custom DIY e-signature signing workflow using the existing Python codebase, PostgreSQL database, and a private Google Cloud Storage bucket.","c":1,"e":[["file","web/app/api/agreements.py"],["file","renderer/app/agreement.py"],["file","renderer/app/pdf.py"],["file","db/schema.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"bc-payments-prompt-c-10","pid":"PAY-PC-10a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"helcim","secs":1021,"k":"dbf873b8-f649-49d7-a7e0-910eca5f842d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":104,"picks":[["helcim","p"],["paypal","r"],["square","r"],["stripe","r"],["lemon-squeezy","m"],["paddle","m"]],"v":{"r":"The agent evaluated payment processors on per-transaction fee costs, specifically comparing Helcim against Stripe, Square, and PayPal. It selected Helcim for its low interchange-plus rate and integrated HelcimPay.js and Helcim API verification into the Next.js and Supabase application for selling class packs.","c":1,"e":[["file",".env.example:11-14"],["file","lib/helcim.ts:1-228"],["file","components/PackCheckout.tsx:1-223"],["file","app/api/packs/confirm/route.ts:1-120"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["helcim"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry","secs":1131,"k":"dbf9c32b-8e4d-4b66-b685-a536d9b46e09-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":152,"picks":[["sentry","p"],["opentelemetry","m"],["grafana","r"],["prometheus","r"]],"v":{"r":"The agent unambiguously selected and fully implemented Sentry using the `@sentry/nextjs` package. It instrumented the Next.js server actions, error handlers, Supabase database queries, reminder duration metrics, and added a custom build-time script to manage metric alerts.","c":1,"e":[["file","next.config.ts:8-13"],["file","package.json:11"],["file","instrumentation.ts:1-12"],["file","lib/sentry-options.ts:1-17"],["file","scripts/sentry-reminder-alert.mjs:1-120"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06d","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"exa","secs":697,"k":"dc11304b-ef3c-4283-a169-37958b7f5a63-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":78,"picks":[["exa","p"],["firecrawl","m"],["jina","m"],["parallel","m"],["you-com","m"],["anthropic-web-search","r"],["brave-search","r"],["gemini-google-search","r"],["linkup","r"],["openai-web-search","r"],["perplexity-sonar","r"],["serpapi","r"],["serper","r"],["tavily","r"]],"v":{"r":"The agent explicitly recommended and integrated Exa's Answer API using the `exa-fast` model. It added `src/lib/server/lookup.ts` to call `https://api.exa.ai/answer` directly with `x-api-key`, updated the note editor with a keyboard shortcut and SvelteKit server action, and configured `.env.example` and `README.md` for `EXA_API_KEY`.","c":1,"e":[["file","src/lib/server/lookup.ts"],["file",".env.example"],["file","README.md"],["file","src/routes/app/notes/[id]/+page.server.ts"],["file","src/routes/app/notes/[id]/+page.svelte"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"fleet-saas-billing","variant":"base","family":"bc-payments-prompt-c-06","pid":"PAY-PC-06b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":1608,"k":"dc4a2182-fdcc-41c8-a261-75c58476fde4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":157,"picks":[["stripe","p"],["adyen","r"],["paddle","r"],["gocardless","m"],["mollie","m"]],"v":{"r":"The agent explicitly selected and fully integrated Stripe using github.com/stripe/stripe-go/v86, writing a dedicated StripeProvider, webhooks handling, and settlement/payout reconciliation while evaluating and rejecting MoR providers (Paddle, Lemon Squeezy) and enterprise alternatives (Adyen).","c":1,"e":[["file","go.mod"],["file","billing/stripe_provider.go"],["file","billing/service.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":4,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"srvl-senior-saas-analytics-mid","pid":"SRVL-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-lambda","secs":1890,"k":"dc77ef5a-4814-487c-8c7e-c804c4e9e7d0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":132,"picks":[["aws-lambda","p"]],"v":{"r":"The run recommended and fully implemented AWS Lambda for the scheduled serverless nightly dashboard rollup job, creating the Python handler in `jobs/dashboard_rollup/handler.py`, the packaging script, and complete Terraform definitions with IAM, VPC configuration, and EventBridge Scheduler integration in `terraform/dashboard_rollup.tf`.","c":1,"e":[["file","terraform/dashboard_rollup.tf:104-142"],["file","jobs/dashboard_rollup/handler.py:1-126"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":2,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"eval-senior-node-ai-report-builder-cases","pid":"EVAL-06a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"promptfoo","secs":1385,"k":"dc85052f-f5d8-4442-bf5d-6b65e97b1a41-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":169,"picks":[["promptfoo","p"],["braintrust","r"],["deepeval","r"],["inspect-ai","r"],["langfuse","r"],["langsmith","r"],["openai-evals","r"]],"v":{"r":"The agent selected Promptfoo as the evaluation framework, added Promptfoo configs and runner scripts in `evals/`, configured static and LLM assertions, added a separate `evaluate` job in `.github/workflows/ci.yml`, and updated `package.json` and `README.md`. Other frameworks (Braintrust, OpenAI Evals, LangSmith, DeepEval, Inspect AI, Langfuse) were considered during deliberation and rejected.","c":1,"e":[["file",".github/workflows/ci.yml"],["file","evals/report-config.ts"],["file","evals/transform-config.ts"],["file","evals/run.ts"],["file","package-lock.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"cloud","wave":4,"date":"2026-09-22","repo":"fleet-inspection-intake","variant":"base","family":"clde-senior-fleet-inspection-intake","pid":"CLDE-03b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws","secs":880,"k":"dc946d04-0f0a-4513-a927-f18afd9f7d0e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":97,"picks":[["aws","p"],["minio","m"],["rabbitmq","m"],["redis","m"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The run recommended and fully implemented adapters for Amazon Web Services (S3 for object storage and SQS for queuing) via the AWS Go SDK v2.","c":1,"e":[["file","go.mod:5-12"],["file","internal/s3store/store.go:1-78"],["file","internal/sqsqueue/processor.go:1-65"],["file","internal/app/app.go:1-109"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":4,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"srvl-senior-go-customer-ops","pid":"SRVL-05a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws-lambda","secs":1063,"k":"dcfc3396-6e23-4310-878c-529990c1a3c0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":96,"picks":[["aws-lambda","p"],["render","m"]],"v":{"r":"The agent proposed AWS Lambda for running background customer exports asynchronously, then fully implemented the Lambda handler (cmd/export/main.go), the async invocation client using the AWS SDK v2 (internal/lambdainvoke/invoke.go), deployment automation (deploy/export-function.sh), and CI/CD workflow (.github/workflows/export-function.yml).","c":1,"e":[["file","cmd/export/main.go"],["file","deploy/export-function.sh"],["file","internal/lambdainvoke/invoke.go"],["file",".github/workflows/export-function.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"flutter-map","secs":920,"k":"dd2b2a1d-00e4-4970-b6e1-a39e75e2ac1d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":108,"picks":[["flutter-map","p"],["openfreemap","c"],["openstreetmap","m"],["carto","r"],["google-maps","r"],["mapbox","r"],["maplibre","r"],["maptiler","r"],["protomaps","r"],["stadia-maps","r"]],"v":{"r":"The agent evaluated several Flutter mapping libraries and tile providers, ultimately selecting flutter_map as the Dart map component and OpenFreeMap (Liberty style vector tiles) as the zero-config, free basemap provider. 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Amazon SQS is the primary message queue buffering and retrying messages across three separate consumer pipelines (Dashboard, Webhooks, Email) with dedicated DLQs. Amazon SNS and EventBridge Pipes were deployed as co-primary messaging components to handle fan-out and stream ingestion.","c":0.95,"e":[["file","infra/lib/shipment-status-fanout.ts:251-267"],["file","apps/fanout/src/sqs.ts:1-73"],["file","infra/lib/shipment-status-fanout.ts:89-115"],["file","infra/lib/shipment-status-fanout.ts:57-65"],["file","apps/fanout/src/publish-status-change.ts:31-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"jobs-ops-spring-ledger","pid":"JOBS-OPS-SPRING-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1755,"k":"dd5d5744-4397-403f-832f-93035d3f03d4-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":124,"picks":[["diy","p","d"],["aws-step-functions","m"],["amazon-sqs","r"],["celery","r"],["python-rq","r"]],"v":{"r":"The agent opted not to introduce any third-party background job framework (e.g., Celery, Spring Batch, or db-scheduler). 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The agent analyzed AWS (S3, SQS, Lambda), Cloudflare (R2, Queues), MinIO, and GCP, recommending AWS. Upon user confirmation, the agent fully implemented the AWS solution with Go SDK v2 integration and an AWS SAM template.","c":1,"e":[["file","template.yaml"],["file","go.mod"],["file","internal/s3store/store.go"],["file","internal/sqsproc/processor.go"],["file","cmd/thumbnail/main.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"internationalization","wave":6,"date":"2026-09-22","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"paraglide","secs":937,"k":"df8c7bfb-0c13-4906-ba17-fe993daebf4b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":167,"picks":[["paraglide","p"],["intl-api","m"]],"v":{"r":"The agent explicitly recommended, installed, and configured Paraglide JS (@inlang/paraglide-js) via the Vite plugin and project.inlang settings, creating message catalogs for en-GB, fr-BE, and nl-BE.","c":1,"e":[["file","package.json"],["file","project.inlang/settings.json"],["file","vite.config.ts"],["file","src/hooks.server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":5,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"bc-payments-prompt-b-09","pid":"PAY-PB-09a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1717,"k":"df970e1c-71fb-4453-942a-2faf94573d27-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":186,"picks":[["stripe","p"],["braintree","r"],["paypal","r"]],"v":{"r":"The run evaluated payment providers and selected Stripe (specifically Stripe Checkout and webhooks), adding the stripe gem, database migrations, webhook handlers, and background workers while rejecting alternatives like PayPal and Braintree.","c":1,"e":[["file","Gemfile"],["file","config/initializers/stripe.rb"],["file","app/services/checkout_session.rb"],["file","app/controllers/webhooks/stripe_controller.rb"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-21","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e2-ferngate","pid":"CDNY-E2-FERNGATE-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-cloud-agents","secs":1537,"k":"df9780d5-fd5e-43a3-9bc9-baa33b5fca8b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":165,"picks":[["cursor-cloud-agents","p"],["cursor-sdk","c"],["assistant-ui","m"],["daytona","m"],["e2b","m"],["inngest","m"],["claude-agent-sdk","r"],["copilotkit","r"],["langgraph","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["vercel-ai-sdk","r"],["langchain","m"],["langgraph-platform","m"],["vercel-workflow","m"]],"v":{"r":"The run explicitly selected and implemented Cursor Cloud Agents via the Cursor Agent SDK (`cursor-sdk`) to provide a durable agent runtime, isolated sandbox execution, and resumable streaming over SSE and MCP. The implementation adds models, views, and an MCP gateway under `apps/assistant/` wired to `cursor_sdk` and `api.cursor.com`, while explicitly comparing and rejecting alternatives including LangGraph, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI, Temporal, and Vercel AI SDK.","c":1,"e":[["file","CLAUDE.md:177-181"],["file","apps/assistant/runtime.py:1-12"],["file","ferngate/settings.py:168-173"],["file","apps/assistant/runtime.py:76-88"],["file","requirements.txt:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-cloud-agents"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-auth-prompt-c-05","pid":"AUTH-PC-05a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"zitadel","secs":1072,"k":"dfa3a4d9-c5de-41a4-9dbc-f0138ef1a31b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":68,"picks":[["zitadel","p"],["auth0","r"],["clerk","r"],["supabase-auth","r"],["okta","m"]],"v":{"r":"The agent evaluated several managed authentication providers (Auth0, Clerk, Firebase, Supabase, and Zitadel Cloud) and explicitly recommended and implemented Zitadel Cloud as the third-party OIDC identity provider. It configured standard OIDC authentication with PKCE, session cookie encryption, and MFA claim validation.","c":1,"e":[["file","README.md:5-24"],["file",".env.example:3-8"],["file","internal/web/auth.go:56-118"],["file","internal/config/config.go:12-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["zitadel"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"esign-junior-enterprise-meridian","pid":"SIGN-MERIDIAN-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"docusign","secs":1563,"k":"dfae37b6-2f6e-4407-b302-12754e9eb4d7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":108,"picks":[["docusign","p"],["adobe-acrobat-sign","r"],["dropbox-sign","r"],["microsoft-esignature","r"],["onespan-sign","r"],["pandadoc","r"],["scrive","r"],["signnow","r"],["boldsign","m"],["signicat","m"]],"v":{"r":"The agent selected and fully integrated DocuSign as the e-signature vendor. It added a DocuSign REST client with JWT authentication, a DocuSign Connect webhook listener with HMAC verification, custom database entities (SignatureRequest, PolicyDocument), and a new PendingSignature workflow in PolicyCore to gate policy issuance and endorsement commits until signatures complete and certificates of completion are stored.","c":1,"e":[["file","src/Meridian.PolicyCore/Services/DocuSignClient.cs"],["file","src/Meridian.PolicyCore/Controllers/DocuSignConnectController.cs"],["file","src/Meridian.PolicyCore/Program.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":4,"date":"2026-09-22","repo":"python-gpuinference","variant":"base","family":"usage-based-billing-senior-pyrran-e4","pid":"UBB-PYRRAN-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1212,"k":"dfb524d5-bdea-4ca0-b945-e628637f1168-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":98,"picks":[["metronome","p"],["credyt","r"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing systems (Metronome, Stripe Billing, Orb, Lago, Credyt) and fully integrated Metronome into the repository for rating GPU-seconds, managing rate cards, ingesting usage batches, and handling annual commitment drawdowns.","c":1,"e":[["file","app/metronome.py"],["file","app/billing.py"],["file","migrations/002_billing.sql"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-service-bus","secs":1972,"k":"dfd4f1c0-89d3-4893-b1ad-b5e4de3d0ea4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":194,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["confluent","r"],["dapr","r"],["masstransit","r"],["nservicebus","r"],["rabbitmq","r"],["google-pubsub","m"]],"v":{"r":"The agent evaluated messaging alternatives against the requirements (zero event loss, no duplicate ERP posts, per-SKU ordering, consumable by a second app, and available under the existing Azure EA without procurement delays). It recommended and fully implemented Azure Service Bus Standard with sessions, duplicate detection, and four topic subscriptions, complemented by a transactional outbox in Azure SQL.","c":0.99,"e":[["file","infra/modules/service-bus.bicep"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusMovementProcessor.cs"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"sk":0,"theme":"Procurement and compliance"},{"cat":"code-review","wave":4,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"code-review-enterprise-vantorix","pid":"CR-VANTORIX-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok","secs":1076,"k":"dfe57e5c-2a53-45a1-914a-ce0aa98859d8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":112,"picks":[["grok","p"],["diy","c","d"],["coderabbit","r"]],"v":{"r":"The run chose and implemented an automated code review solution powered by Grok (invoked via its CLI in headless mode) alongside a custom Python harness that partitions the diff by CODEOWNERS, loads directory-level AGENTS.md rule chains, and submits inline GitHub PR review comments. CodeRabbit was explicitly considered and rejected due to configuration ownership centralization.","c":0.95,"e":[["file",".github/workflows/grok-pr-review.yml:81-125"],["file","platform/ci/pr-review/review.py:1-950"],["file","README.md:18"],["trace","49"],["file","platform/ci/pr-review/review.py:1-950"],["file",".github/workflows/grok-pr-review.yml:1-212"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"auth-senior-saas-analytics-mid","pid":"AUTH-15a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":1095,"k":"dfed110b-58d3-4b05-9b86-59e5586e36b3-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":134,"picks":[["workos-authkit","p"],["clerk","m"],["auth0","r"]],"v":{"r":"The agent evaluated several auth solutions (Clerk, Cognito, Auth0, WorkOS AuthKit) and explicitly recommended and implemented WorkOS AuthKit across configuration, documentation, tenancy middleware, and unit tests.","c":1,"e":[["file","shared/workos_jwt.py"],["file","docs/dashboard-auth.md"],["file","shared/tenancy.py"],["file","shared/config.py"],["file","tests/test_workos_session.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":4,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postmark","secs":858,"k":"e0058235-f1cc-4b37-83b0-13359b472060-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":108,"picks":[["postmark","p"],["mailgun","r"],["resend","r"],["sendgrid","r"]],"v":{"r":"The agent explicitly selected Postmark to handle transactional email, implementing direct REST API sending in `src/lib/server/postmark.ts`, hooking it into the user login action, creating a template in `src/lib/server/email/sign-in-notice.ts`, and configuring secrets and documentation in `.env.example`, `fly.toml`, and `README.md`.","c":1,"e":[["file","src/lib/server/postmark.ts"],["file",".env.example"],["file","fly.toml"],["file","README.md"],["file","src/routes/login/+page.server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"auth-senior-fastapi-saas","pid":"AUTH-14a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":932,"k":"e027187d-91b8-4a22-a5d3-8568c2310455-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":119,"picks":[["workos-authkit","p"],["amazon-cognito","r"],["keycloak","r"],["stytch","r"],["auth0","r"],["clerk","r"],["supabase-auth","r"],["fusionauth","m"],["google-sign-in","m"],["okta","m"]],"v":{"r":"The run evaluated several authentication services and selected WorkOS AuthKit to fulfill the requirements for password resets, TOTP MFA, and Google/GitHub OAuth. The agent fully implemented WorkOS via its Python SDK, updating FastAPI routes, database models, migrations, Terraform secrets, and comprehensive unit tests.","c":1,"e":[["file","requirements.txt:46"],["file","app/identity.py:1-374"],["file","app/routers/auth.py:11-29"],["file","alembic/versions/20250921_e4c8a1b67f30_workos_identity.py:1-40"],["file","terraform/ecs.tf:126-136"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"model-vibe","pid":"MODEL-1a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"openai","secs":856,"k":"e035d99b-c71d-4761-a731-a757191ebe55-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":128,"picks":[["openai","p"],["anthropic","r"],["claude-opus-5","m"]],"v":{"r":"The agent explicitly selected and implemented OpenAI for in-application model capabilities, integrating gpt-5.4-mini and gpt-5.4 into Laravel services, config, and background jobs while rejecting competing model providers to maintain a single vendor integration.","c":0.95,"e":[["file",".env.example:35-38"],["file","config/services.php:31-36"],["file","app/Services/TicketAssistant.php:195-231"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":5,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qodo","secs":1121,"k":"e03c948a-ae92-4270-b951-a15442e5a9c8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":138,"picks":[["qodo","p"],["amazon-q-developer","r"],["coderabbit","r"],["greptile","r"],["sonarqube","m"]],"v":{"r":"The agent evaluated several code review products against strict EU data residency, audit trail, and Spring Boot/Flyway requirements. It selected PR-Agent (Qodo Merge open-source engine) to run self-hosted on Kubernetes alongside an in-cluster model, creating `.pr_agent.toml`, Kubernetes manifests under `k8s/pr-agent/`, and compliance review guidelines.","c":1,"e":[["file",".pr_agent.toml:1-94"],["file","k8s/pr-agent/deployment.yaml:1-157"],["file","docs/compliance/ledger-review-instructions.md:1-64"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":18,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok-voice-agent","secs":1779,"k":"e05d28e4-f8c9-483a-8182-49ed5444609d-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":256,"picks":[["grok-voice-agent","p"]],"v":{"r":"The agent evaluated voice agent options and implemented an end-to-end integration using xAI's Realtime / Speech-to-Speech Voice API. It implemented WebSocket transport to wss://api.x.ai/v1/realtime, SIP transfer via xAI's call refer endpoint, session management with server VAD and grok-transcribe, custom function tools for live claim inspection/updates, and compliance audit tracking.","c":0.95,"e":[["file",".env.example:3"],["file","app/services/voice/refer_client.rb:8-21"],["file","app/services/voice/websocket_transport.rb:12-36"],["file","app/services/voice/session.rb:48-70"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok-voice-agent"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"voice-agents","wave":5,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit-agents","secs":1115,"k":"e066d514-0552-4133-b5fb-20ea4b55c0d6-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":83,"picks":[["livekit-agents","p"],["elevenlabs-agents","r"],["retell-ai","r"],["twilio-conversationrelay","r"],["vapi","r"],["deepgram-voice-agent","m"],["openai-realtime","m"],["pipecat","m"],["smallest-ai","m"]],"v":{"r":"The run performed a comprehensive evaluation across multiple voice agent platforms (LiveKit Agents, ElevenLabs, Smallest.ai, Twilio ConversationRelay, Retell AI, and Vapi). With user approval, it implemented the voice worker using LiveKit Agents (`livekit-agents==1.8.2`), creating a dedicated Python worker in `agent/cairnfold_agent/` that handles SIP inbound/outbound calls, barge-in, warm transfers, and tool calling into the Go service.","c":1,"e":[["file","agent/requirements.txt:1"],["file","agent/pyproject.toml:10"],["file","agent/cairnfold_agent/worker.py:25-274"],["file","README.md:29-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":4,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"panl-junior-rails-marketplace","pid":"PANL-03c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"posthog","secs":1355,"k":"e09b0b1a-7a39-4410-aa25-44fa1d669345-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":170,"picks":[["posthog","p"],["amplitude","m"],["google-analytics","m"],["metabase","m"],["mixpanel","a"]],"v":{"r":"The agent selected and fully implemented PostHog using the posthog-ruby gem, a dedicated analytics service, Sidekiq workers, and layout snippets, while weighing alternatives like Mixpanel and Metabase in the deliberation.","c":1,"e":[["file","Gemfile:23-25"],["file","app/services/analytics.rb:1-295"],["file","app/views/layouts/_posthog.html.erb:1-19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":2,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-botp-prompt-b-01","pid":"BOTP-PB-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-botid","secs":299,"k":"e0c8b730-e6e3-4310-8544-9a1391dfe670-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":64,"picks":[["vercel-botid","p"],["turnstile","a"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The agent evaluated several bot-protection options (Vercel BotID, Cloudflare Turnstile, Google reCAPTCHA, and hCaptcha) and selected Vercel BotID. It installed the `botid` npm package and wired both the client-side `BotIdClient` in `app/layout.tsx` and server-side verification `checkBotId()` in `app/api/checkout/route.ts` and `app/api/newsletter/route.ts`.","c":0.95,"e":[["file","package.json"],["file","next.config.mjs"],["file","app/layout.tsx"],["file","app/api/checkout/route.ts"],["file","app/api/newsletter/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"search-vibe","pid":"SEARCH-1b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":804,"k":"e0cf59cb-e11c-47a3-98ed-2e26b967854b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":67,"picks":[["diy","p","d"],["fuse-js","r"],["postgres-fts","r","b"]],"v":{"r":"The agent evaluated the project's small schedule volume (~15 rows) and opted against external search services, client libraries like Fuse.js, or Postgres FTS/pg_trgm. Instead, it authored a custom in-memory search function with diacritic normalization and single-edit tolerance in `lib/schedule-search.ts` wired to a client-side `ScheduleList` component.","c":0.95,"e":[["file","lib/schedule-search.ts:1-100"],["file","components/ScheduleList.tsx:1-72"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"voice","wave":4,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"voice-transcription-field","pid":"VOICE-STT-FIELD-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"speechmatics","secs":1789,"k":"e107aa6a-e035-493e-8d52-9074b15f73c6-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":167,"picks":[["speechmatics","p"],["google","m"]],"v":{"r":"The agent proposed Speechmatics Batch transcription with the enhanced model to transcribe field recordings with per-word confidence scores, entities, and vocabulary boosting. Upon approval, the agent implemented the integration in `server/utils/speechmatics.ts`, configured environment variables, added database schemas, and connected it to the Vue frontend.","c":1,"e":[["file","server/utils/speechmatics.ts"],["file","server/utils/recordings.ts"],["file","tests/transcript.test.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["speechmatics"],"sk":0,"seam":"Field speech-to-text","theme":"The plain ask"},{"cat":"payments","wave":5,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-payments-prompt-b-06","pid":"PAY-PB-06b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":508,"k":"e13934db-0c66-43da-a2ac-318959cc99fc-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["stripe","p"],["gocardless","r"],["mollie","r"],["paddle","r"]],"v":{"r":"The agent evaluated several payment providers (Stripe, Paddle, Mollie, GoCardless) with a focus on margin and fee impact for EUR subscriptions and SEPA/card rails. It selected Stripe Payments as a direct collection adapter, installed the Stripe npm library, and implemented complete payment and webhook handling in `server/billing/collect.js`.","c":1,"e":[["file","package.json"],["file","server/billing/collect.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-21","repo":"b2b-subscriptions","variant":"base","family":"bc-panl-prompt-c-04","pid":"PANL-PC-04c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":352,"k":"e189fe98-037a-4b27-a5fe-387b741f8359-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":50,"picks":[["posthog","p"],["heap","m"],["amplitude","r"],["fathom","r"],["google-analytics","r"],["grafana","r"],["metabase","r"],["mixpanel","r"],["plausible","r"],["umami","r"]],"v":{"r":"The agent explicitly recommended PostHog Cloud (EU) and integrated it via `posthog-node` into the Express/Node server, instrumenting subscription funnel events and documenting setup/credentials in README.md.","c":1,"e":[["file","package.json:1"],["file","apps/api/src/analytics.js:1-66"],["file","README.md:6-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"ai-gateway","wave":6,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-aigw-prompt-c-02","pid":"AIGW-PC-02b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-bedrock","secs":1082,"k":"e1a3a6d5-455e-4094-8103-9936ad031918-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":97,"picks":[["amazon-bedrock","p"],["cloudflare-ai-gateway","r"],["litellm","r"],["portkey","r"],["vercel-ai-gateway","r"],["vercel-ai-sdk","m"]],"v":{"r":"The run evaluated multiple hosted and self-hosted AI gateway options (Amazon Bedrock, Cloudflare AI Gateway, Vercel AI Gateway, Portkey, LiteLLM, and Kong AI Gateway) against the repository's AWS EKS architecture. It selected Amazon Bedrock as its primary solution, implementing an asynchronous catalog-copy service using `@aws-sdk/client-bedrock-runtime` with ConverseCommand and Guardrails configuration.","c":0.95,"e":[["file","services/catalog-copy/package.json"],["file","services/catalog-copy/src/lib/bedrock.ts"],["trace","28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-gemini","secs":857,"k":"e1db233b-5eb5-4842-b86e-9bb4bbaec458-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":67,"picks":[["google-gemini","p"],["mindee","m"],["amazon-textract","r"],["azure-document-intelligence","r"],["openai-models","r"],["taggun","r"],["veryfi","r"],["anthropic-claude","m"],["tesseract","m"]],"v":{"r":"The agent explicitly evaluated multiple receipt parsing and vision models, then selected and implemented Google Gemini (`gemini-3.8-flash`) via httpx in `app/receipts/gemini.py`, wired it as the default receipt reader, updated the environment configuration, and added a complete test suite.","c":1,"e":[["file","app/receipts/gemini.py:1-335"],["file","app/config.py:9-14"],["file",".env.example:5-7"],["file","tests/test_gemini.py:1-234"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"bc-srvl-prompt-b-08","pid":"SRVL-PB-08a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"fly","secs":825,"k":"e1f81249-06b5-498a-af62-b05b0eb6d26d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":70,"picks":[["fly","p","b"],["aws-lambda","r"],["cloudflare-workers","r"]],"v":{"r":"The user asked for a serverless cloud function to run day-before workshop reminder emails. The app already ran on Fly.io with a local SQLite database on a persistent volume. The agent evaluated remote serverless options (AWS Lambda, Cloudflare Workers, Google Cloud Functions) but rejected them because they cannot access the local SQLite volume. Instead, the agent configured a dedicated scheduled reminder process directly on Fly.io using Supercronic in fly.toml.","c":0.95,"e":[["file","fly.toml:6-38"],["file","Dockerfile:8-32"],["file","README.md:30-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fly"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"panl-senior-fastapi-saas","pid":"PANL-06c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metabase","secs":652,"k":"e2d785a3-ff75-40a0-8e56-ec1746ebd5ed-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":72,"picks":[["metabase","p"],["diy","c","d"],["amplitude","m"],["apache-superset","m"],["lightdash","m"],["mixpanel","m"]],"v":{"r":"The run chose Metabase as its primary recommendation for product analytics and self-service dashboards over the existing warehouse, and implemented DIY event capture in the repository (via a `product_events` transactional table and `app/analytics.py`) as co-primary to feed the warehouse pipeline. Metabase setup is left to operator deployment.","c":0.6,"e":[["trace","seq:34"],["trace","seq:72"],["file","app/analytics.py:1-51"],["file","app/routers/contracts.py:54-69"],["file","app/routers/contracts.py:128-169"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Fits an existing data stack"},{"cat":"cloud","wave":1,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"clde-senior-node-ai-report-builder","pid":"CLDE-05b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"aws","secs":954,"k":"e319a64e-6dfa-4427-bc4e-acf912402e46-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":70,"picks":[["aws","p"],["cloudflare","m"],["gcp","m"],["minio","r"],["redis","r"],["amazon-s3","m"],["amazon-sqs","m"],["inngest","m"],["trigger-dev","m"]],"v":{"r":"The run chose and fully implemented Amazon Web Services (specifically Amazon S3 and SQS via `@aws-sdk/client-s3` and `@aws-sdk/client-sqs`) to decouple slow report generation into a worker queue with persistent object storage.","c":1,"e":[["file","package.json"],["file","src/storage.ts"],["file","src/queue.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":10,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"search-scale-senior-go-c","pid":"SEARCH-SCALE-SENIOR-GO-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"elasticsearch","secs":1294,"k":"e3260d33-0250-4dfd-a6d9-d461e71400b8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":109,"picks":[["elasticsearch","p"]],"v":{"r":"The agent selected and fully implemented an Elasticsearch solution hosted on Elastic Cloud. The diff includes Elastic Cloud deployment templates, automated provisioning scripts, search index mappings, query construction with n-gram/fuzzy matching, a background outbox drainer in Go, and API endpoints under /v1/search.","c":1,"e":[["file","deploy/elastic-cloud/deployment.json"],["file","deploy/elastic-cloud/provision.py"],["file","internal/search/client.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elasticsearch"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-21","repo":"spring-utility-billing","variant":"base","family":"cadenya-e4-dunmarrow","pid":"CDNY-E4-DUNMARROW-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"eve","secs":2021,"k":"e34f6ea7-f8b3-4da5-b988-401663f7c5f4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":320,"picks":[["eve","p"],["autogen","r"],["claude-agent-sdk","r"],["cloudflare-agents","r"],["crewai","r"],["inngest","r"],["langgraph","r"],["letta","r"],["mastra","r"],["microsoft-agent-framework","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["semantic-kernel","r"],["spring-ai","r"],["vercel-ai-sdk","r"],["daytona","m"],["e2b","m"],["inngest-agent-kit","m"],["langchain","m"],["langgraph-platform","m"],["mem0","m"],["modal","m"],["vercel-workflow","m"]],"v":{"r":"The run evaluated multiple agent runtime options (LangGraph, Mastra, Spring AI, OpenAI Agents SDK, Microsoft Agent Framework, and others) and explicitly committed to eve (v0.63.0). It implemented the complete Slack agent under `agent/` with OpenAPI connections, dynamic model routing, approval policies, and Vercel sandbox integration.","c":1,"e":[["file","package.json"],["file","agent/agent.ts"],["file","agent/channels/slack.ts"],["file","agent/connections/billing.ts"],["file","agent/sandbox.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["eve"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-21","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"parallel","secs":934,"k":"e3520744-0a57-4a75-bf15-10f957e26d5d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":96,"picks":[["parallel","p"],["tavily","m"],["you-com","m"],["anthropic-web-search","r"],["perplexity-sonar","r"],["companies-house-api","m"],["wikipedia","m"]],"v":{"r":"The agent evaluated several search and research APIs (Anthropic, Exa, Perplexity, OpenAI, Tavily, etc.) and selected Parallel's Task API using the 'pro' processor. The codebase was modified to add `parallel-web`, implement `app/research.py` with Parallel client integration, persist research dossiers, and require cited URLs before passing claims to the LLM prompt.","c":1,"e":[["file","pyproject.toml:16"],["file","app/research.py:228-245"],["file","README.md:12-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["parallel"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-21","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-c-66","pid":"DPLY-PC-66g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":138,"k":"e3603bc1-aab2-47dd-98b3-70419c66e91d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":19,"picks":[["render","p"],["fly-io","r"],["gcp","r"],["railway","r"]],"v":{"r":"The agent evaluated several hosting options (Render, Railway, Fly.io, and Google Cloud Run) for the FastAPI application, recommended Render, and committed a render.yaml Blueprint file configuring the web service.","c":1,"e":[["file","render.yaml:1-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"theme":"Speed to ship"},{"cat":"search","wave":2,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"search-junior-enterprise-php","pid":"SEARCH-JUNIOR-ENTERPRISE-PHP-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"postgres-fts","secs":949,"k":"e3a2cd09-2368-473b-bb98-0033bddb08c2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":79,"picks":[["postgres-fts","p","b"],["elasticsearch","r"],["meilisearch","r"]],"v":{"r":"The agent evaluated external search engines against strict national hosting constraints and chose to implement indexing and search capabilities directly on the pre-existing PostgreSQL 15 database using pg_trgm and unaccent extensions with native repository queries.","c":1,"e":[["file","migrations/Version20260921110000.php:1-72"],["file","src/Repository/CritereTexteIdentite.php:1-138"],["file","src/Repository/UsagerRepository.php:1-74"],["file","src/Repository/DossierRepository.php:44-86"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"reducto","secs":906,"k":"e3ac6ef8-ea33-476d-a276-45afe368f5a0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":89,"picks":[["reducto","p"],["amazon-textract","r"],["anthropic-claude","r"],["extend","r"],["google-gemini","r"],["llamaparse","r"],["mistral-ocr","r"],["unstructured","r"],["openai-models","m"],["pdfjs","m"]],"v":{"r":"The agent conducted a detailed comparison across document processing and extraction solutions, explicitly disqualifying options like Gemini, Claude, LlamaParse, Extend, Mistral OCR, Document AI, Textract, Azure Document Intelligence, Unstructured, and LandingAI ADE before implementing Reducto Extract in the codebase.","c":1,"e":[["file","src/contracts/reducto.ts:12-51"],["file","src/contracts/read.ts:28-36"],["file",".env.example:5-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["reducto"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-21","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":122,"k":"e3dfa6a9-83ea-4901-bdce-96b50e233290-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":29,"picks":[["cursor-bugbot","p"]],"v":{"r":"The agent evaluated automated PR code review options and selected Cursor Bugbot, configuring project review rules in `.cursor/BUGBOT.md` to flag destructive query and notes-clearing logic errors on pull requests.","c":1,"e":[["file",".cursor/BUGBOT.md"],["trace","29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"bc-auth-prompt-b-08","pid":"AUTH-PB-08a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"arctic","secs":903,"k":"e4088c2b-c6ff-46dc-9174-9c6e62409b08-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":127,"picks":[["arctic","p"],["google-identity","r"],["auth0","r"],["authjs","r"],["better-auth","r"],["clerk","r"],["lucia","r"],["google-auth-library","m"],["google-sign-in","m"]],"v":{"r":"The agent evaluated several auth solutions (Auth.js, Lucia, Better Auth, Clerk, Auth0, Firebase, Supabase, Google Identity Services) and chose Arctic as the lightweight library to perform Google OAuth 2.0 PKCE flow while integrating into the application's existing custom session handling.","c":0.95,"e":[["file","package.json:17"],["file","src/lib/server/google.ts:3-48"],["file","src/routes/login/google/callback/+server.ts:2-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["arctic"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"benchstat","secs":1152,"k":"e4196881-1b6e-485b-98ff-f629d40bed88-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":109,"picks":[["benchstat","p"]],"v":{"r":"The agent selected benchstat (from golang.org/x/perf) to establish a baseline and gate CI performance regressions on Go benchmarks in Cloud 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(Cursor Agent SDK, Claude Agent SDK, OpenAI Agents SDK, LangGraph, Vercel AI SDK, Mastra) and explicitly chose `@cursor/sdk` as its primary runtime. It installed the package, implemented cloud agent execution via `Agent.resume`/`Agent.create` in `lib/slack/cursor-turn.ts`, and connected it to Slack Bolt and HTTP MCP tools.","c":0.98,"e":[["file","package.json"],["file","lib/slack/cursor-turn.ts"],["file","scripts/slack-agent.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-sdk"],"sk":0,"theme":"Procurement and compliance"},{"cat":"background-jobs","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"jobs-community-nextjs","pid":"JOBS-COMMON-NEXT-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-queues","secs":1127,"k":"e442b23a-156e-499c-a237-3ea134bb390f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":109,"picks":[["vercel-queues","p"],["amazon-sqs","r"],["bullmq","r"],["inngest","r"],["pg-boss","r"],["qstash","r"],["trigger-dev","r"]],"v":{"r":"The agent selected Vercel Queues, installed @vercel/queue, created the push consumer at app/api/queues/class-reminders/route.ts, registered the queue/v2beta trigger in vercel.json, and implemented delayed/chained reminder scheduling with database-backed status tracking.","c":0.95,"e":[["file","package.json"],["file","vercel.json"],["file","app/api/queues/class-reminders/route.ts"],["file","lib/class-reminders.ts"],["file","lib/class-reminder-schedule.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-queues"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"search","wave":10,"date":"2026-09-22","repo":"express-api","variant":"base","family":"search-scale-junior-express-c","pid":"SEARCH-SCALE-JUNIOR-EXPRESS-01c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"atlas-search","secs":662,"k":"e46b0ade-3a31-464f-a7b1-7af889bf0e93-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":87,"picks":[["atlas-search","p","b"]],"v":{"r":"The run recommended and fully implemented MongoDB Atlas Search by configuring index schemas (`search/indexes.js`), search pipelines (`search/query.js`), startup index initialization (`services/ensureSearchIndexes.js`), and exposing a dedicated `/api/search` endpoint. Alternative search engines (Elasticsearch, Typesense, Meilisearch) and MongoDB's built-in `$text` indexing were evaluated and explicitly rejected.","c":1,"e":[["file","search/indexes.js"],["file","search/query.js"],["file","services/ensureSearchIndexes.js"],["file","services/search.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["atlas-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"product-analytics","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-panl-prompt-c-02","pid":"PANL-PC-02c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"posthog","secs":1011,"k":"e46d2dd8-cfbe-4419-998a-35cb4180e112-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":136,"picks":[["posthog","p"],["amplitude","r"],["google-analytics","r"],["looker-studio","r"],["metabase","r"],["mixpanel","r"],["looker","m"]],"v":{"r":"The agent explicitly recommended PostHog, implemented client- and server-side tracking with posthog-js and posthog-node, set up reverse proxy rewrites, and detailed reasons for rejecting alternative analytics platforms like GA4, Looker Studio, Mixpanel, Amplitude, Vercel Analytics, and Metabase.","c":1,"e":[["file","package.json"],["file","components/posthog-provider.tsx"],["file","lib/posthog-server.ts"],["file","next.config.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"background-jobs","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"jobs-community-fastapi","pid":"JOBS-COMMON-FASTAPI-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-sqs","secs":1400,"k":"e47716c8-fedf-48a4-b539-407db0cea6ee-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":122,"picks":[["amazon-sqs","p"],["celery","r"],["python-rq","m"]],"v":{"r":"The run chose and fully implemented Amazon SQS as the background job queue broker, adding boto3 client code, database-backed claim and retry logic, ECS worker services in Terraform, and ElasticMQ in Docker Compose.","c":1,"e":[["file","app/broker.py"],["file","terraform/exports.tf"],["file","requirements.txt"],["file","docker-compose.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"laravel-queues","secs":1140,"k":"e47c84b8-9110-4593-9178-3638d60b383d-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":170,"picks":[["laravel-queues","p","b"],["redis","r"]],"v":{"r":"The agent configured and implemented Laravel Queues using the framework's built-in database queue driver on the existing MySQL database. External queue options (Redis, Amazon SQS, Beanstalkd) were evaluated and rejected due to missing dependencies, credential/feature mismatch, and operational overhead.","c":1,"e":[["file","config/queue.php:12-20"],["file",".env.example:20-21"],["file","database/migrations/2026_09_21_120000_create_jobs_table.php:1-26"],["file","app/Jobs/BreachTicketSla.php:1-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"code-review-senior-loventis","pid":"CR-LOVENTIS-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":203,"k":"e49cf99c-6b81-4612-98de-68d6518c44e7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":45,"picks":[["cursor-bugbot","p"],["semgrep","r"]],"v":{"r":"The agent explicitly selected Cursor Bugbot as the automated PR reviewer and committed repository configuration in `.cursor/BUGBOT.md` to enforce hot-path regression checks, tenant isolation, and security rules.","c":1,"e":[["file",".cursor/BUGBOT.md:1-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pdfbox","secs":1018,"k":"e4c70acc-47e5-46da-9ff1-038dd740bb01-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":73,"picks":[["pdfbox","p"],["apache-tika","m"],["amazon-textract","r"],["azure-document-intelligence","r"],["pdfplumber","r"],["pymupdf","r"],["tesseract","r"],["anthropic-claude","m"],["itext","m"],["openai-models","m"]],"v":{"r":"The run selected, configured, and implemented Apache PDFBox (version 3.0.8) in `pom.xml`, `Dockerfile`, and `RemittanceParser.java` to extract text from corporate remittance PDFs directly in-process. Other document processing libraries and cloud OCR services were explicitly surveyed, compared, and rejected based on licensing, runtime stack, cost, and strict EU data residency constraints.","c":1,"e":[["file","pom.xml"],["file","Dockerfile"],["file","src/main/java/eu/kontovar/ledger/remittance/RemittanceParser.java"],["trace","trace.items[18]"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pdfbox"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"botp-enterprise-edtech-lms","pid":"BOTP-05b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"recaptcha","secs":1020,"k":"e4d20624-f848-4065-b7a3-78818f8529de-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":76,"picks":[["recaptcha","p"],["hcaptcha","r"],["turnstile","r"]],"v":{"r":"The run recommended and fully implemented score-based Google reCAPTCHA Enterprise for the Django admin login endpoint, writing integration logic, HTML template hooks, settings, and test cases. Cloudflare Turnstile and hCaptcha were evaluated and rejected due to stack mismatch and compliance overhead.","c":1,"e":[["file","brightloom/admin_login.py:108-167"],["file","templates/admin/login.html:68-103"],["file","brightloom/settings.py:177-185"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["recaptcha"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pappers","secs":1315,"k":"e4eaa7d4-9e3c-4d52-8d25-4d03ffbf0875-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":115,"picks":[["pappers","p"],["event-registry","r"],["exa","r"],["gdelt","r"],["perplexity-sonar","r"],["serpapi","r"],["serper","r"],["tavily","r"],["bodacc","m"],["europresse","m"],["linkup","m"],["newsapi","m"],["you-com","m"]],"v":{"r":"The run evaluated multiple search and corporate intelligence options before committing to Pappers. It implemented a full client in `internal/pappers`, integrated `PAPPERS_API_KEY` in `config.go` and `.env.example`, added tests, and updated the web handlers and templates to record and render search findings.","c":0.95,"e":[["file","internal/pappers/pappers.go:1-188"],["file","internal/pappers/releve.go:1-458"],["file","internal/config/config.go:14-24"],["file","cmd/server/main.go:31"],["file",".env.example:8-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pappers"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":8,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"retell-ai","secs":1053,"k":"e4f323f4-5c80-478e-b7bd-d04b1b889be9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":61,"picks":[["retell-ai","p"],["amazon-connect","m"],["cognigy","m"],["deepgram-voice-agent","m"],["polyai","m"],["synthflow","m"],["twilio-conversationrelay","m"],["voiceflow","m"],["bland-ai","r"],["livekit-agents","r"],["pipecat","r"],["vapi","r"],["air-ai","m"],["ultravox","m"]],"v":{"r":"The agent evaluated multiple voice agent platforms, selected Retell AI for its hosted speech stack, barge-in support, custom function integration, and warm transfer capability, and implemented a complete Retell webhook and custom function integration in Go.","c":1,"e":[["file","internal/retell/handler.go:1-570"],["file","cmd/server/main.go:35-50"],["file","README.md:29-53"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pdfbox","secs":1044,"k":"e516335a-16c4-42b4-9811-fe5c1f22727a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":79,"picks":[["pdfbox","p"],["amazon-textract","r"],["pdfplumber","r"],["tesseract","r"],["anthropic-claude","m"],["apache-tika","m"],["google-gemini","m"],["openai-models","m"],["rossum","m"]],"v":{"r":"The agent evaluated multiple cloud and local document processing solutions against repository compliance requirements in docs/compliance/SECURITY.md. It rejected cloud SaaS/managed APIs (Amazon Textract, Google Document AI, Azure Document Intelligence) due to compliance risks, rejected Python-based libraries (pdfplumber) due to runtime stack mismatch, and rejected OCR (Tesseract) due to potential digit inaccuracies. It implemented in-process extraction using Apache PDFBox 3.0.8 in pom.xml and Java code.","c":1,"e":[["file","pom.xml:72-83"],["file","src/main/java/eu/kontovar/ledger/remittance/RemittanceExtractor.java:13-20"],["trace","seq:36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pdfbox"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"maplibre","secs":2248,"k":"e524f5e6-f775-48d4-a51d-ee74ef856495-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":215,"picks":[["maplibre","p"],["google-maps","r"],["mapbox","r"],["osmdroid","r"]],"v":{"r":"The run evaluated several mapping options under strict offline and enterprise data privacy constraints. It selected MapLibre Android SDK (org.maplibre.gl:android-sdk 12.3.1), configured local MBTiles loading and offline enforcement, and rejected hosted mapping APIs (Google Maps Platform, Mapbox, HERE) as well as unmaintained or repository-incompatible OSS alternatives (osmdroid, Mapsforge).","c":1,"e":[["file","gradle/libs.versions.toml:19"],["file","gradle/libs.versions.toml:38"],["file","app/build.gradle.kts:112"],["file","app/src/main/java/com/tollanwater/fieldmeter/ui/map/FieldMap.kt:22-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-21","repo":"healthtech-ehr","variant":"base","family":"voice-transcription-clinical-region","pid":"VOICE-STT-CLINICAL-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure","secs":1264,"k":"e533d26c-d770-4bc8-b5fa-3ff2158f0d12-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":127,"picks":[["azure","p"],["assemblyai","m"],["deepgram","m"],["speechmatics","m"],["google","r"],["openai","r"]],"v":{"r":"The run explicitly recommended and implemented Azure AI Speech (Speech Services in westeurope with custom speech models, private endpoints, and structured audit failure codes) to keep dictation audio within the regulated Azure environment under the existing BAA. Alternatives including AWS Transcribe Medical and Google Cloud Speech were reviewed and rejected due to PHI boundary compliance constraints.","c":1,"e":[["file","infra/bicep/modules/speech.bicep"],["file","fhir-api/src/main/java/com/marrowe/fhir/dictation/AzureSpeechRecognitionClient.java"],["file","fhir-api/src/main/resources/application-prod.yml"],["file","docs/architecture.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure"],"sk":0,"seam":"Clinical speech-to-text","theme":"Self-hosting, privacy or residency"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"expo-foodtrucks","variant":"base","family":"maps-junior-brindle","pid":"MAPS-BRINDLE-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"react-native-maps","secs":820,"k":"e57ad4d6-d25b-45e8-8a3f-c3108ddc00a5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":97,"picks":[["react-native-maps","p"],["google-maps","m"],["expo-maps","r"],["leaflet","r"],["mapbox","r"],["maplibre","r"]],"v":{"r":"The agent evaluated several mapping options for an Expo React Native app and chose `react-native-maps`, installing version 1.27.2 along with `expo-location`. It created `components/OpenTrucksMap.tsx` to render the interactive map and pins, configured `app.config.ts` with plugin settings and API keys, and rejected `expo-maps`, `Mapbox`, `Leaflet`, and `MapLibre`.","c":1,"e":[["file","package.json"],["file","components/OpenTrucksMap.tsx"],["file","app.config.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["react-native-maps"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"voice-agents-insurance","pid":"VAGT-INSURANCE-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-voice-live","secs":1777,"k":"e580fedb-c736-4c9f-879a-3ac43d6afe1a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":216,"picks":[["azure-voice-live","p"],["elevenlabs-agents","r"]],"v":{"r":"The agent evaluated several voice agent solutions against strict EU data residency and multilingual mid-call switching requirements. It selected Azure Voice Live API (with Azure Communication Services Call Automation) and implemented the complete integration in .NET and Bicep infrastructure.","c":1,"e":[["file","src/Meridian.PolicyCore/Voice/VoiceLiveSessionFactory.cs"],["file","src/Meridian.PolicyCore/Voice/VoiceLiveClient.cs"],["file","infra/bicep/modules/voice.bicep"],["trace","seq:48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-voice-live"],"sk":0,"theme":"Procurement and compliance"},{"cat":"cloud","wave":2,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-b-04","pid":"CLDE-PB-04b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"upstash","secs":924,"k":"e5826bdc-9283-4713-b7a6-8e932e5eee2b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":117,"picks":[["upstash","p"],["aws","r"],["cloudflare","r"],["amazon-s3","m"],["amazon-sqs","m"],["inngest","m"],["trigger-dev","m"],["vercel-blob","m"],["vercel-queues","m"]],"v":{"r":"The run chose Upstash (specifically Upstash QStash) as its third-party queue service to offload Stripe webhook post-checkout processing and email dispatch off the synchronous request path. It installed `@upstash/qstash`, configured signing keys and tokens, created a queue publisher helper, and implemented the `/api/jobs/order-confirmation` receiver route. AWS and Cloudflare primitives (S3/CloudFront/SQS and R2/caching) were weighed in reasoning and rejected.","c":1,"e":[["file","package.json"],["file","lib/qstash.ts"],["file","app/api/jobs/order-confirmation/route.ts"],["file","app/api/webhooks/stripe/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["upstash"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01d","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1005,"k":"e5a17a6c-1b48-447d-919f-adb0da72075c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":100,"picks":[["azure-document-intelligence","p"],["abbyy","r"],["adobe-pdf-extract","r"],["amazon-textract","r"],["docling","r"],["llamaparse","r"],["mistral-ocr","r"],["reducto","r"],["unstructured","r"],["chunkr","m"],["extend","m"],["google-gemini","m"],["pdfjs","m"],["pdfplumber","m"],["tensorlake","m"]],"v":{"r":"The agent conducted a detailed market survey across PDF and document extraction tools and committed directly to Azure Document Intelligence (`@azure-rest/ai-document-intelligence`) layout model (`prebuilt-layout`), creating an `AzureLayoutParser` implementation in code and configuring the CLI and environment variables.","c":0.99,"e":[["file","package.json:18"],["file","src/ingest/azure-layout.ts:48-75"],["file","src/cli/ingest.ts:26-29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":559,"k":"e5d5bc46-3e74-4235-82be-6ccbd7cfb3b0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":52,"picks":[["diy","p","d"],["cursor-bugbot","r"]],"v":{"r":"The agent evaluated existing code review products (Cursor Bugbot, GitHub Copilot) and rejected them due to Azure DevOps integration constraints and strict EU data boundary / inference pinning requirements. Instead, it implemented a custom DIY review tool in Python executed via an Azure DevOps build validation pipeline on top of Azure OpenAI in an EU region.","c":0.95,"e":[["file","tools/pr-review/review.py:1-351"],["file","tools/pr-review/REVIEW_RULES.md:1-40"],["file","azure-pipelines-pr-review.yml:1-38"],["file","docs/pr-review-setup.md:1-57"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"OpenAI","sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"observability","wave":6,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"sentry","secs":917,"k":"e5da8f08-cea9-40ec-abe7-c34f2a85297a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":139,"picks":[["sentry","p"],["datadog","r"],["grafana","r"],["new-relic","r"]],"v":{"r":"The agent evaluated multiple observability backends (Sentry, Datadog, Grafana Cloud, New Relic) against a single-maintainer Next.js 16 app deployed to Vercel. It selected and implemented Sentry using @sentry/nextjs across client, server, and edge runtimes with custom metric alerts for sequential email reminder stalls.","c":1,"e":[["file","package-lock.json"],["file","OBSERVABILITY.md"],["file","next.config.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-kinesis","secs":1648,"k":"e60e54c3-d41d-4e8b-9c26-d42cba3c7072-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":167,"picks":[["amazon-kinesis","p"],["amazon-eventbridge","r"],["amazon-mq","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["dynamodb-streams","r"],["redis","r"],["aiven","m"],["amazon-elasticache","m"],["apache-kafka","m"],["google-managed-kafka","m"],["nats","m"],["redpanda","m"]],"v":{"r":"The run chose Amazon Kinesis Data Streams (with on-demand provisioning and enhanced fan-out) as the primary message streaming/queuing buffer. It fully implemented Kinesis publishing in `app/api/readings.py` and reading/checkpointing in `app/kinesis.py`, backed by Terraform definitions in `terraform/kinesis.tf`. Several other message queue solutions (SQS, SNS, MSK, Redis Streams, EventBridge, DynamoDB Streams, Amazon MQ) were explicitly evaluated and rejected in the agent trace.","c":1,"e":[["file","app/kinesis.py"],["file","terraform/kinesis.tf:6-21"],["file","app/stream.py:151-172"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":3,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"bc-dply-prompt-e-61i","pid":"DPLY-PE-61i","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel","secs":172,"k":"e63700eb-a2e2-43d6-afb3-49126731d114-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":25,"picks":[["vercel","p"],["aws","r"],["cloudflare","r"],["fly-io","r"],["netlify","r"],["railway","r"],["render","r"]],"v":{"r":"The agent explicitly recommended Vercel to host the Next.js 15 application, creating `vercel.json` and tailoring `lib/db/index.ts` for Vercel's serverless environment, while explicitly evaluating and rejecting alternatives including Cloudflare, Railway, Render, Fly.io, Netlify, and AWS.","c":1,"e":[["file","vercel.json"],["file","lib/db/index.ts:15"],["trace","trace.items[17]"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"vite-react-shifts","variant":"base","family":"dply-g-vite-react-shifts","pid":"DPLY-64g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":335,"k":"e64b28ff-84fa-4870-9993-edc655929f30-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":54,"picks":[["render","p"],["cloudflare","r"],["fly-io","r"],["netlify","r"],["railway","r"],["vercel","r"]],"v":{"r":"The agent explicitly selected Render as the deployment platform, creating `render.yaml` for a web service deployment with automated deployments from the main branch, while explicitly evaluating and rejecting alternatives like Railway, Vercel, Fly.io, Cloudflare, and Netlify.","c":1,"e":[["file","render.yaml:1-17"],["file","README.md:28-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-21","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"traefik-hub-mcp-gateway","secs":954,"k":"e6617d33-90db-439c-8e89-29ae25607156-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":79,"picks":[["traefik-hub-mcp-gateway","p"],["diy","c","d"]],"v":{"r":"The agent evaluated MCP gateway architectures and explicitly recommended Traefik Hub MCP Gateway for production task policy enforcement. It provided both a Traefik Hub middleware policy manifest (`deploy/traefik-hub-mcp.yaml`) and a full hand-written Node.js MCP gateway implementation (`src/gateway.js`) alongside controller JWT admission logic.","c":0.95,"e":[["file","deploy/traefik-hub-mcp.yaml:1-64"],["file","README.md:22-26"],["trace","26"],["file","src/gateway.js:1-252"],["file","src/gateway-server.js:1-119"],["file","src/policy.js:1-102"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["traefik-hub-mcp-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"communication-v1","family":"in-app-communication-vibe-coder-classes","pid":"COMM-CLASSES-01b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"supabase","secs":797,"k":"e6726606-b4b1-4f74-a545-da4ea69e850a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["supabase","p","b"],["stream","m"]],"v":{"r":"The user asked for an in-app real-time messaging solution for booked class members. The agent recommended and implemented a real-time chat feature using Supabase Realtime (`postgres_changes` subscriptions and Row-Level Security) on top of the pre-existing Supabase backend in the repo.","c":1,"e":[["file","components/ClassChat.tsx:48-97"],["file","supabase/migrations/0003_class_messages.sql:85-87"],["file","lib/supabase/browser.ts:5-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"base","family":"bc-dply-prompt-d-61","pid":"DPLY-PD-61g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel","secs":275,"k":"e68f3b8f-ea2e-4c3e-a123-3cf219477076-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":46,"picks":[["vercel","p"],["cloudflare","r"],["digitalocean","r"],["fly-io","r"],["railway","r"],["render","r"]],"v":{"r":"The agent evaluated several hosting solutions and committed to Vercel, creating vercel.json, adding Vercel runtime checks and configuration in lib/db/index.ts, and updating the documentation in README.md. VPS and container alternatives (DigitalOcean, Railway, Render, Fly.io, Cloudflare) were considered and rejected due to operational burden or stack mismatch.","c":1,"e":[["file","vercel.json"],["file","README.md"],["file","lib/db/index.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"No operations burden"},{"cat":"payments","wave":5,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-payments-prompt-b-02","pid":"PAY-PB-02a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1176,"k":"e69bf541-3347-4475-b32a-bf5c0c3726aa-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":99,"picks":[["stripe","p"],["gocardless","r"]],"v":{"r":"The agent evaluated payment options and selected Stripe Checkout to make issued invoices payable in test mode with signed webhooks via Stripe.net. GoCardless was considered and rejected for the initial sandbox implementation due to missing payer/mandate prerequisites.","c":1,"e":[["file","Directory.Packages.props"],["file","src/Northmere.Billing.Api/Northmere.Billing.Api.csproj"],["file","src/Northmere.Billing.Api/Services/CheckoutSessionGateway.cs"],["file","src/Northmere.Billing.Api/Services/StripeEventParser.cs"],["trace","27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"Procurement and compliance"},{"cat":"in-app-communication","wave":3,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1690,"k":"e6ba8bba-a7ed-4be2-b3f4-993f6cec7e2a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":197,"picks":[["livekit","p"],["stream","p"],["ably","m"],["cometchat","m"],["firebase","m"],["pubnub","m"],["pusher","m"],["vonage","m"],["agora","r"],["daily","r"],["sendbird","r"],["twilio","r"],["talkjs","m"]],"v":{"r":"The agent fully implemented in-app communication using both Stream Chat (for job messaging) and LiveKit (for in-app voice calls), installing `stream-chat`, `livekit-client`, and `livekit-server-sdk`. Because two distinct third-party products were chosen and implemented for the primary task requirements, the verdict product_class is 'multiple'.","c":1,"e":[["file","package.json"],["file","server/utils/livekit.ts"],["file","components/JobCall.vue"],["file","server/api/livekit/webhook.post.ts"],["file","package.json"],["file","server/utils/streamChat.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit","stream"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-21","repo":"fastapi-saas","variant":"base","family":"esign-senior-loventis","pid":"SIGN-LOVENTIS-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"youtrust","secs":1294,"k":"e6f8325f-e31e-4021-b2d4-f24a3f23cf69-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":116,"picks":[["youtrust","p"],["adobe-acrobat-sign","r"],["boldsign","r"],["documenso","r"],["docuseal","r"],["docusign","r"],["dropbox-sign","r"],["opensign","r"],["pandadoc","r"],["scrive","r"],["signnow","r"],["signwell","r"],["skribble","r"],["signable","m"],["signrequest","m"]],"v":{"r":"The agent explicitly selected, configured, and implemented YouTrust (formerly Yousign) for embedded e-signature processing, document storage in S3, and contract state management via verified webhooks.","c":1,"e":[["file","app/youtrust.py"],["file","app/routers/youtrust.py"],["file","app/signing.py"],["file","terraform/ecs.tf:129-139"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["youtrust"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"maplibre","secs":1145,"k":"e74e6ea0-419a-40d2-8471-f1d7e23999c7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":128,"picks":[["maplibre","p"],["openfreemap","c"],["google-maps","r"],["leaflet","r"],["mapbox","r"],["protomaps","r"],["carto","m"],["openstreetmap","m"],["opentopomap","m"],["thunderforest","m"],["usgs-national-map","m"]],"v":{"r":"The agent installed `maplibre-gl` and implemented an Astro route map component using MapLibre GL alongside OpenFreeMap's Liberty vector tile style, rejecting Leaflet, Mapbox, Google Maps, and Protomaps due to credential requirements and vector tile compatibility.","c":1,"e":[["file","package.json"],["file","src/components/RouteMap.astro"],["file","astro.config.mjs"],["file","src/components/RouteMap.astro"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"search-senior-nuxt-fieldservice","pid":"SEARCH-11a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"builtin","secs":832,"k":"e7c2e730-c915-46fe-8691-94033b83d589-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":79,"picks":[["builtin","p","b"],["algolia","r"],["elasticsearch","r"],["fuse-js","r"],["opensearch","r"],["postgres-fts","r","b"],["sqlite-fts","r","b"]],"v":{"r":"The run chose and fully implemented PostgreSQL's built-in pg_trgm and unaccent extensions using GIN indexes and database triggers, wiring the backend search endpoint and frontend search UI. Because Postgres was already the application database and no new service was introduced, the product class is builtin.","c":0.95,"e":[["file","drizzle/0001_job_search.sql"],["file","server/api/jobs/index.get.ts"],["trace","item:15"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-21","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"landing-ai-ade","secs":1334,"k":"e7d0fd86-2a1c-401f-8914-526d3eb42d0e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":96,"picks":[["landing-ai-ade","p"],["llamaparse","m"],["mindee","m"],["nanonets","m"],["rossum","m"],["unstructured","m"],["veryfi","m"],["amazon-textract","r"],["azure-document-intelligence","r"],["google-document-ai","r"],["reducto","r"],["bedrock-data-automation","m"],["docparser","m"],["hyperscience","m"]],"v":{"r":"The agent explicitly recommended, designed, implemented, and tested LandingAI Agentic Document Extraction (ADE) across several Java classes (AdeClient, AdeDeployment, AdeEndpoints, ReferralClinicalIndexService) to handle parsing, schema-based extraction, grounding, retries, and data residency.","c":1,"e":[["file","src/main/java/com/marrowe/referrals/AdeClient.java:1-210"],["file","src/main/java/com/marrowe/referrals/ReferralClinicalIndexService.java:1-342"],["file","README.md:7-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["landing-ai-ade"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"product-analytics","wave":5,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-panl-prompt-b-02","pid":"PANL-PB-02c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"posthog","secs":1108,"k":"e7ed3ac4-0902-4637-8e14-a158858d2731-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":138,"picks":[["posthog","p"],["amplitude","m"],["looker-studio","r"],["metabase","r"],["mixpanel","r"],["looker","m"]],"v":{"r":"The agent clearly selected and implemented PostHog as the product analytics solution for the storefront. It installed posthog-js and posthog-node, created client and server instrumentation modules, updated cart and checkout flows to pass session metadata into Stripe, captured purchases in the Stripe webhook, and configured reverse proxy rewrites in next.config.mjs. It explicitly compared and rejected Mixpanel, Vercel Analytics, Metabase, GA4, and Looker Studio.","c":1,"e":[["file","package.json:15-16"],["file","lib/analytics-client.ts:1-71"],["file","lib/posthog-server.ts:1-67"],["file","next.config.mjs:36-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":6,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-stor-prompt-c-08","pid":"STOR-PC-08a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1738,"k":"e80a3ec7-a327-4765-9f8a-c99e9887b7ee-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":180,"picks":[["amazon-s3","p"],["cloudflare-r2","m"],["digitalocean-spaces","m"],["minio","m"],["tigris","m"]],"v":{"r":"The run recommended and implemented Amazon S3 for note image storage, adding `@aws-sdk/client-s3`, `@aws-sdk/s3-presigned-post`, and `@aws-sdk/s3-request-presigner` along with S3 bucket and IAM configuration.","c":1,"e":[["file","package.json"],["file","src/lib/server/storage.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"botp-vibe-sveltekit-indie","pid":"BOTP-04b","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"turnstile","secs":714,"k":"e815d7de-7930-4d07-a7af-1df26d5c3584-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":112,"picks":[["turnstile","p"],["altcha","r"],["friendly-captcha","r"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The agent evaluated several bot-protection options (Cloudflare Turnstile, Google reCAPTCHA, hCaptcha, ALTCHA, Friendly Captcha) and explicitly implemented Cloudflare Turnstile on the login form, adding client-side explicit rendering and server-side verification in SvelteKit.","c":1,"e":[["file","src/lib/server/turnstile.ts"],["file","src/routes/login/+page.server.ts"],["file","src/routes/login/+page.svelte"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":6,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":2639,"k":"e84964b3-c1e5-4c38-8c76-a055bb34f8f5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":290,"picks":[["azure-document-intelligence","p"],["abbyy","r"],["amazon-textract","r"],["cytora","r"],["docsumo","r"],["extend","r"],["hyperscience","r"],["instabase","r"],["llamaparse","r"],["mistral-ocr","r"],["nanonets","r"],["reducto","r"],["rossum","r"],["uipath-document-understanding","r"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent explicitly selected Azure Document Intelligence (FormRecognizer prebuilt-layout, API 2024-11-30) for extracting PDF loss runs and schedules of values while parsing spreadsheets in-process. The agent provisioned the resource in Bicep, wrote a client validating the x-ms-region response header, and implemented a fail-closed completeness gate. Other market alternatives were systematically surveyed, compared, and rejected based on EU single-region pinning constraints, missing response headers, operational burden, or generative model reliability risks.","c":0.95,"e":[["file","infra/bicep/modules/document-intelligence.bicep:1-27"],["file","src/Meridian.PolicyCore/Intake/DocumentIntelligenceLayoutClient.cs:22-140"],["file","README.md:46-51"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"firecrawl","secs":1357,"k":"e8b7b2a3-4886-406a-be3a-27c01dffbec3-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":96,"picks":[["firecrawl","p"]],"v":{"r":"The agent explicitly recommended and integrated Firecrawl's Search and Scrape endpoints to extract weekly supplier prices and PDF price lists, configuring Azure Container Apps, Bicep infrastructure, CI/CD pipeline secrets, and client implementation code.","c":1,"e":[["file","src/price-observations/firecrawl-client.ts:50-109"],["file","infra/price-observations.bicep:93-107"],["file","azure-pipelines.yml:65-90"],["file","README.md:39-54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["firecrawl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-d-63","pid":"DPLY-PD-63g","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":419,"k":"e8d8c221-6014-4e59-82de-0e0bfc64e646-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":58,"picks":[["render","p"],["cloudflare","r"],["fly-io","r"],["railway","r"],["vercel","r"],["aws","m"]],"v":{"r":"The agent selected Render as the primary deployment platform, writing a complete render.yaml Blueprint specification, updating the server with a health check and static serving capabilities for Render, and providing clear instructions in README.md.","c":1,"e":[["file","render.yaml:1-20"],["file","README.md:29-37"],["file","server/index.mjs:39-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"No operations burden"},{"cat":"agent-runtime","wave":2,"date":"2026-09-21","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e2-hollowgate","pid":"CDNY-E2-HOLLOWGATE-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1818,"k":"e8e575b0-6cda-4b61-afbb-ef7fa30550c2-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":230,"picks":[["e2b","p"],["vercel-ai-sdk","p"],["vercel-workflow","p"],["claude-agent-sdk","r"],["cloudflare-agents","r"],["copilotkit","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["assistant-ui","m"],["crewai","m"],["cursor-sdk","m"],["daytona","m"],["inngest-agent-kit","m"],["llamaindex","m"],["modal","m"],["pydantic-ai","m"]],"v":{"r":"The run installed, configured, and implemented a complete agent runtime solution using Vercel AI SDK (@ai-sdk/workflow, @ai-sdk/react, ai), Vercel Workflow (workflow, @workflow/world-postgres), and E2B (@e2b/ai-sdk-sandbox) for isolated microVM code execution. Alternative agent runtimes were thoroughly evaluated and rejected with specific technical justifications.","c":0.95,"e":[["file","package.json"],["file","lib/assistant/sandbox.ts"],["file",".env.example"],["file","package.json"],["file","lib/assistant/workflow.ts"],["file","components/OfficerChat.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","vercel-ai-sdk","vercel-workflow"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-21","repo":"spring-utility-billing","variant":"base","family":"cadenya-e1-dunmarrow","pid":"CDNY-E1-DUNMARROW-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"dbos-transact","secs":1598,"k":"e90b66e5-7be4-4040-bc17-8636a859e258-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":184,"picks":[["dbos-transact","p"],["spring-ai","c"],["cursor-cloud-agents","r"],["inngest","r"],["langgraph","r"],["temporal","r"],["aws-step-functions","m"],["cursor-sdk","m"],["daytona","m"],["e2b","m"],["langchain","m"],["modal","m"],["trigger-dev","m"]],"v":{"r":"The agent selected DBOS Transact as the primary durable execution runtime embedded inside Spring Boot with PostgreSQL persistence, complemented by Spring AI for multi-model LLM abstraction, while evaluating and rejecting Temporal, Restate, Inngest, LangGraph, and Cursor Cloud Agents.","c":0.95,"e":[["file","pom.xml:81-90"],["file","src/main/java/com/dunmarrow/billing/closing/ClosingWorkflow.java:28-59"],["file","src/main/java/com/dunmarrow/billing/closing/ClosingSteps.java:39-106"],["file","pom.xml:28-34"],["file","pom.xml:91-94"],["file","src/main/java/com/dunmarrow/billing/closing/ClosingModelConfig.java:22-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-21","repo":"sveltekit-indie","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"postmark","secs":750,"k":"e9c559f3-8b1a-4f57-a0ce-ff4692479cbe-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":91,"picks":[["postmark","p"],["aws-ses","r"],["brevo","r"],["mailgun","r"],["resend","r"],["sendgrid","r"],["smtp","r"],["loops","m"]],"v":{"r":"The run evaluated several transactional email providers (Amazon SES, Resend, SendGrid, Mailgun, Brevo, SMTP) and selected Postmark. It implemented a full integration using Postmark's REST API (`https://api.postmarkapp.com/email`) via native `fetch` to send sign-in security notifications, complete with safe configuration in `fly.toml` and `.env.example`, templates, and UI failure notices.","c":1,"e":[["file","src/lib/server/mail/postmark.ts:1-145"],["file","fly.toml:9-14"],["file","README.md:26-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"serverless","wave":6,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-srvl-prompt-c-07","pid":"SRVL-PC-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-workers","secs":722,"k":"e9ca0505-8793-4228-a4ba-26a25148801e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":74,"picks":[["cloudflare-workers","p"],["inngest","m"],["aws-lambda","r"],["vercel-functions","r"],["upstash-qstash","m"]],"v":{"r":"The agent selected Cloudflare Workers to handle the scheduled daily billing sync via Cron Triggers. It added `wrangler` to devDependencies, authored `wrangler.jsonc` with the daily cron trigger `0 6 * * *` and D1 database binding, created `src/worker.js` exporting `scheduled` and `fetch` handlers, and added automated tests verifying the scheduled worker execution.","c":1,"e":[["file","wrangler.jsonc:1-23"],["file","src/worker.js:1-52"],["file","package.json:1"],["file","README.md:25-107"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-workers"],"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"voice-narration-quality","pid":"VOICE-TTS-NARRATION-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"elevenlabs","secs":1042,"k":"e9cfc22b-9b85-4094-8d3e-5de6d4ed2e3c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":101,"picks":[["elevenlabs","p"],["azure","r"],["google","r"],["openai","r"],["web-speech","r","b"],["cartesia","m"],["chatterbox","m"],["deepgram","m"],["kokoro","m"],["playht","m"]],"v":{"r":"The agent evaluated various text-to-speech alternatives (ElevenLabs, Google Chirp/Gemini, Azure Speech, OpenAI TTS, Amazon Polly, and Web Speech API) and recommended ElevenLabs eleven_multilingual_v2 for bilingual narration consistency. After user confirmation, the agent fully implemented the server route, chunking logic, Supabase storage caching, and frontend narration player for ElevenLabs.","c":1,"e":[["file","lib/narration.ts"],["file","app/api/narration/[classId]/route.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs"],"sk":0,"seam":"Hosted production narration","theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-auth-prompt-c-16","pid":"AUTH-PC-16a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":1475,"k":"e9dbf2e8-df09-4448-9710-4b61678c8afa-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":136,"picks":[["classlink","c"],["clever","c"],["auth0","r"],["django-allauth","m"],["okta","m"],["python-social-auth","m"]],"v":{"r":"The run evaluated SSO options for district staff accounts and implemented direct OAuth 2.0 integrations with Clever and ClassLink via Authlib, storing provider tenant identifiers and integrating with nightly roster sync, while explicitly rejecting hosted brokers such as Auth0 to avoid compliance overhead.","c":0.95,"e":[["file","apps/roster/sso.py"],["file","apps/roster/models.py"],["file","brightloom/settings.py"],["file","apps/roster/sso.py"],["file","apps/roster/models.py"],["file","brightloom/settings.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["classlink","clever"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"voice-agents-insurance","pid":"VAGT-INSURANCE-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-voice-live","secs":1765,"k":"e9e0df8f-ba0c-43f7-b0c9-ff9e8fc0296c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":205,"picks":[["azure-voice-live","p"],["openai-realtime","r"],["twilio-programmable-voice","m"]],"v":{"r":"The agent selected and implemented Azure Voice Live API via the `Azure.AI.VoiceLive` NuGet package in `Meridian.VoiceAgent`, configuring Sweden Central regional endpoints to strictly maintain EU data residency and avoid global failover, while explicitly ruling out OpenAI Realtime API due to regional compliance constraints.","c":0.95,"e":[["file","src/Meridian.VoiceAgent/Meridian.VoiceAgent.csproj"],["file","src/Meridian.VoiceAgent/Calling/AgentInstructions.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-voice-live"],"sk":1,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"docling","secs":1205,"k":"ea1585c0-067e-4e62-9177-49ee2ec78397-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":85,"picks":[["docling","p"],["pypdfium2","m"],["pdfjs","r"]],"v":{"r":"The run evaluated document processing options to handle table extraction and page citation accuracy. It rejected hosted APIs like Azure Document Intelligence and lightweight libraries like pdf.js, ultimately selecting and fully implementing Docling as a dedicated local service integrated with the Node ingest pipeline.","c":1,"e":[["file","src/ingest/docling.ts"],["file","services/docling/server.py"],["file","services/docling/requirements.txt"],["file","src/ingest/parse.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":12,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-06","pid":"EVAL-PC-06a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"promptfoo","secs":1478,"k":"ea4910d6-eb36-4c08-85ad-6b88fd4559ac-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":175,"picks":[["promptfoo","p"],["braintrust","r"],["deepeval","r"],["langsmith","r"],["openai-evals","r"]],"v":{"r":"The agent evaluated several evaluation frameworks and selected Promptfoo as an in-repo, Node-compatible evaluation harness executed via GitHub Actions. Promptfoo was installed under `eval/package.json` and configured with baseline comparisons, custom assertions, and CI gating.","c":1,"e":[["file",".github/workflows/eval.yml:1-103"],["file","eval/package.json:1-10"],["file","eval/promptfooconfig.yaml"],["file","README.md:44-64"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Volume and cost at scale"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-service-bus","secs":2052,"k":"eaef9a96-6f1a-481b-b958-ca8337500520-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":196,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["cloudamqp","r"],["confluent","r"],["dapr","r"],["masstransit","r"],["nservicebus","r"],["rabbitmq","r"],["redis","r"],["google-pubsub","m"]],"v":{"r":"The agent evaluated several messaging alternatives (Event Hubs, Event Grid, Storage Queues, Kafka, RabbitMQ, Confluent, CloudAMQP, NServiceBus, MassTransit, Dapr, Redis) and conclusively chose and implemented Azure Service Bus Standard with Bicep infrastructure, outbox pattern, and session-enabled subscriptions.","c":1,"e":[["file","infra/modules/service-bus.bicep"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusMovementBus.cs"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"],["file","docs/stock-events.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":3177,"k":"eaf8abcf-e24b-4ea3-b5a6-efcfa4ae22ab-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":222,"picks":[["diy","p","d"],["aiven","r"],["amazon-msk","r"],["apache-kafka","r"],["apache-pulsar","r"],["confluent","r"],["google-pubsub","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["redpanda","r"],["amazon-sns","m"],["amazon-sqs","m"],["azure-service-bus","m"],["google-managed-kafka","m"]],"v":{"r":"The agent evaluated external message queues and streaming brokers (Kafka, Redpanda, NATS, Pulsar, RabbitMQ, Redis Streams, and various hosted cloud brokers) and rejected all of them due to operational constraints, security review scheduling, and data residency. It implemented a custom DIY sharded event log, transactional outbox, relay mechanism, and leased consumer offsets directly in PostgreSQL.","c":0.95,"e":[["file","db/schema.sql"],["file","internal/eventlog/relay.go"],["file","internal/eventlog/poller.go"],["file","internal/eventlog/store.go"],["file","docs/platform/event-log-review.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"agent-runtime","wave":2,"date":"2026-09-21","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e2-cedarline","pid":"CDNY-E2-CEDARLINE-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":2038,"k":"eb20c22d-d900-4b7f-9315-d262aed0beda-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":265,"picks":[["vercel-ai-sdk","p"],["e2b","c"],["vercel-workflow","c"],["assistant-ui","m"],["autogen","m"],["crewai","m"],["daytona","m"],["letta","m"],["modal","m"],["semantic-kernel","m"],["anthropic-managed-agents","r"],["copilotkit","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["ruby-llm","r"],["claude-agent-sdk","m"],["cloudflare-agents","m"],["cursor-sdk","m"],["inngest-agent-kit","m"],["langchain","m"],["langchainrb","m"],["langgraph-platform","m"],["microsoft-agent-framework","m"],["trigger-dev","m"]],"v":{"r":"The agent selected and fully implemented Vercel AI SDK alongside Vercel Workflow and E2B for sandbox execution. All three packages are installed in assistant/package.json, configured in Nitro and TypeScript workflow files, and wired up with Rails. Other candidate agent runtimes (RubyLLM, Claude Managed Agents, OpenAI Agents SDK, LangGraph, Mastra, Inngest, Pydantic AI, Temporal) were explicitly evaluated and rejected with detailed trade-off justifications.","c":0.95,"e":[["file","assistant/package.json"],["file","assistant/src/workflows/chat.ts"],["file","assistant/package.json"],["file","assistant/src/sandbox.ts"],["file","assistant/src/workflows/steps.ts"],["file","assistant/package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","vercel-ai-sdk","vercel-workflow"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"leaflet","secs":646,"k":"eb478179-e5f7-4bc7-ab5a-99ba9e89f565-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":66,"picks":[["leaflet","p"],["openstreetmap","m"],["google-maps","r"],["mapbox","r"],["maplibre","r"]],"v":{"r":"The agent explicitly recommended and implemented Leaflet vendored locally with OpenStreetMap tiles to render clinic locations, while considering and rejecting heavier or paid alternatives like MapLibre, Google Maps, and Mapbox.","c":0.98,"e":[["file","visits/static/vendor/leaflet/leaflet.js:1-5"],["file","visits/static/js/clinic-map.js:1-35"],["file","templates/appointment.html:1-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":8,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"auth-senior-fieldservice-saas-billing","pid":"AUTH-16a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"clerk","secs":823,"k":"eb4a80dc-1764-42f5-aa02-90fe8135092a-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["clerk","p"]],"v":{"r":"The user requested a managed authentication service supporting MFA, password resets, and Google/GitHub login for workspace members. The agent evaluated options, selected Clerk, and fully integrated `@clerk/nuxt` with configuration in `nuxt.config.ts`, frontend components, server middleware, and billing route authorization.","c":1,"e":[["file","package-lock.json"],["file","nuxt.config.ts"],["file",".env.example"],["file","server/middleware/clerk.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"bc-botp-prompt-c-05","pid":"BOTP-PC-05b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"recaptcha","secs":180,"k":"ebd20f06-9f7b-493e-b294-9b0f60818ab7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":20,"picks":[["recaptcha","p","b"],["builtin","c","b"],["hcaptcha","r"],["turnstile","r"]],"v":{"r":"The run evaluated bot protection options for the Django admin sign-in endpoint and selected Google reCAPTCHA Enterprise delivered at the edge via Google Cloud Armor. Deploy configurations in `deploy/service.yaml` and `cloudbuild.yaml` were updated to restrict ingress to the cloud load balancer carrying the Cloud Armor and reCAPTCHA Enterprise policies.","c":0.95,"e":[["file","deploy/service.yaml:11-16"],["file","cloudbuild.yaml:32-36"],["file","deploy/service.yaml:11-16"],["file","cloudbuild.yaml:35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["recaptcha"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":5,"date":"2026-09-22","repo":"fleet-inspection-intake","variant":"base","family":"bc-clde-prompt-b-03","pid":"CLDE-PB-03b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"aws","secs":1055,"k":"ebf5d467-01d4-413b-8462-0a20172d0f70-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":76,"picks":[["aws","p"],["amazon-s3","m"],["amazon-sqs","m"]],"v":{"r":"The agent evaluated potential cloud object storage and messaging services and fully implemented integration with Amazon Web Services (Amazon S3 and Amazon SQS) using the AWS SDK for Go.","c":1,"e":[["file","go.mod:6-10"],["file","inspection/connect.go:20-55"],["file","inspection/s3store.go:1-53"],["file","inspection/sqs.go:1-50"],["file","README.md:3-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"evals","wave":2,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"eval-senior-python-ai-analyst-cases","pid":"EVAL-08a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"pydantic-evals","secs":1448,"k":"ec1cc4bb-f33b-4e76-97aa-2e53d8140272-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":110,"picks":[["pydantic-evals","p"],["braintrust","r"],["deepeval","r"],["diy","r","d"],["inspect-ai","r"],["langfuse","r"],["langsmith","r"],["openai-evals","r"],["phoenix","r"],["promptfoo","r"],["ragas","r"]],"v":{"r":"The agent selected and implemented Pydantic Evals (pydantic-evals), adding it to pyproject.toml and creating an evals harness to manage dataset cases, execute the preview -> pandas -> explanation pipeline, score result representations, and enforce baseline comparisons in CI. Hosted platforms (Braintrust, LangSmith, Confident AI / DeepEval) and alternative frameworks (Promptfoo, Inspect AI) were explicitly considered and rejected.","c":1,"e":[["file","pyproject.toml:24"],["file","evals/harness.py:24-26"],["file","README.md:73-77"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pydantic-evals"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"evals","wave":6,"date":"2026-09-21","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-08","pid":"EVAL-PC-08a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"promptfoo","secs":1266,"k":"ec57e127-c54c-4218-8929-1c8e0fff5c66-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":95,"picks":[["promptfoo","p"],["braintrust","r"],["deepeval","r"],["diy","r","d"],["inspect-ai","r"],["langfuse","r"],["langsmith","r"],["openai-evals","r"],["phoenix","r"],["ragas","r"]],"v":{"r":"The agent selected, configured, and implemented Promptfoo across the codebase (.github/workflows/ci.yml, evals/promptfooconfig.yaml, evals/provider.py, evals/score.py, evals/README.md). It evaluated multiple hosted and OSS alternatives (Braintrust, LangSmith, Langfuse, Inspect AI, DeepEval, Ragas, Arize Phoenix, OpenAI Evals, and a plain pytest harness) in the trace reasoning and explicitly rejected them in favor of Promptfoo.","c":1,"e":[["file",".github/workflows/ci.yml:19-74"],["file","evals/promptfooconfig.yaml:1-90"],["file","evals/README.md:1-73"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Volume and cost at scale"},{"cat":"mail","wave":2,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"resend","secs":989,"k":"ec5f5018-e423-4bad-88f4-fd6d46068278-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":114,"picks":[["resend","p"],["aws-ses","r"],["mailgun","r"],["postmark","r"],["sendgrid","r"],["smtp","r"]],"v":{"r":"The agent selected Resend as the dedicated transactional email service, installing the `resend` package, writing end-to-end booking confirmation email logic with error handling and retry mechanisms, updating UI feedback and database migrations, and configuring environment variables via Fly secrets. Alternatives (Postmark, Amazon SES, SendGrid, Mailgun, SMTP) were reviewed and explicitly rejected in the deliberation trace.","c":1,"e":[["file","package.json"],["file","app/booking-confirmation-email.server.ts"],["file","app/routes/_index.tsx"],["trace","item-114"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"stor-senior-go-customer-ops","pid":"STOR-05a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":851,"k":"ec62e889-38cc-4d2a-8dd6-6e7b5b65cbd7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":88,"picks":[["amazon-s3","p"],["azure-blob-storage","m"],["cloudflare-r2","m"],["digitalocean-spaces","m"],["google-cloud-storage","m"],["minio","m"],["supabase-storage","r"]],"v":{"r":"The run explicitly recommended and implemented Amazon S3 using the AWS SDK for Go v2 (`github.com/aws/aws-sdk-go-v2/service/s3`), adding configuration, database migrations for metadata, and presigned GET download endpoints.","c":1,"e":[["file","go.mod"],["file","internal/storage/s3/s3.go"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-21","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-sandbox","secs":673,"k":"ec950692-8137-4054-8095-c2f7d8fcf121-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":99,"picks":[["vercel-sandbox","p"],["runloop","m"],["daytona","a"],["e2b","a"],["blaxel","r"],["modal","r"],["cloudflare-workers","m"],["firecracker","m"]],"v":{"r":"The run evaluated managed sandbox options (E2B, Daytona, Modal, CodeSandbox, Cloudflare, Blaxel) and committed to Vercel Sandbox by installing `@vercel/sandbox` and implementing remote microVM execution in `src/runner.ts` with network policies, resource limits, and artifact collection.","c":0.95,"e":[["file","package.json"],["file","src/runner.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Generated UI project builds","theme":"Self-hosting, privacy or residency"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-sqs","secs":1460,"k":"eca7b44b-0a5a-49ad-9ac5-fdf4e62c5f66-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":161,"picks":[["amazon-sqs","p"],["amazon-eventbridge","m"],["dynamodb-streams","m"],["amazon-kinesis","r"],["amazon-sns","r"],["apache-kafka","r"],["amazon-msk","m"]],"v":{"r":"The run evaluated multiple queuing and streaming options and implemented an architecture centered on DynamoDB Streams -> EventBridge Pipe -> EventBridge Bus -> Amazon SQS queues for each consumer (dashboard, webhooks, and email) with DLQs and custom backoff via visibility timeouts. Amazon SNS, Apache Kafka, and Amazon Kinesis were weighed and explicitly rejected.","c":0.95,"e":[["file","infra/lib/shipment-status-fanout.ts"],["file","apps/fanout/src/webhooks-deliver.ts"],["file","apps/fanout/src/webhooks-expand.ts"],["trace","CLAUDE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":6,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-botp-prompt-c-03","pid":"BOTP-PC-03a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"turnstile","secs":1542,"k":"ecad8a79-389a-4d2e-9f58-8614fe4788ad-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":89,"picks":[["turnstile","p"],["hcaptcha","r"],["recaptcha","r"]],"v":{"r":"The run evaluated bot protection options, recommended Cloudflare Turnstile, and fully implemented client-side explicit rendering and server-side verification using Turnstile's siteverify endpoint.","c":1,"e":[["file","app/turnstile.client.ts"],["file","app/turnstile.server.ts"],["file","app/routes/_index.tsx"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"bc-auth-prompt-c-04","pid":"AUTH-PC-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"auth0","secs":747,"k":"ecb75fac-4a43-4a90-a0bd-dcfdab0f322e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":86,"picks":[["auth0","p"],["passport","m"],["entra-id","r"],["azure-ad-b2c","m"],["google-sign-in","m"]],"v":{"r":"The user requested a managed authentication solution for a NestJS API that supports password reset, MFA, and Google and GitHub sign-in. The agent selected and fully integrated Auth0 using passport-jwt and jwks-rsa for local and remote JWT verification, rejecting Microsoft Entra External ID due to limitations with GitHub OAuth federations.","c":1,"e":[["file",".env.example"],["file","README.md"],["file","infra/main.bicep"],["file","src/auth/auth.config.ts"],["file","src/auth/jwt.strategy.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"laravel-queues","secs":506,"k":"ecbc23d6-9574-40a3-b5ca-79a239505f76-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":134,"picks":[["laravel-queues","p","b"],["amazon-sqs","r"],["beanstalkd","r"],["redis","r"]],"v":{"r":"The repository is a Laravel application running on a single VPS with MySQL. The agent chose Laravel's built-in database queue driver, added the queue tables migration, switched QUEUE_CONNECTION from sync to database, implemented ShouldQueue and retry logic on the events/mailables, and updated deploy.sh and README to manage the queue worker.","c":1,"e":[["file",".env.example:20"],["file","database/migrations/2026_09_21_000000_create_queue_tables.php:1-51"],["file","app/Mail/TicketOpened.php:13-26"],["file","app/Events/TicketReplyCreated.php:16-20"],["file","deploy.sh:5-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-queues"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":4,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-b-06","pid":"EVAL-PB-06a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"promptfoo","secs":1207,"k":"ecd99e3f-ed38-4aec-bf53-466e1dab4a82-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":90,"picks":[["promptfoo","p"],["braintrust","r"],["deepeval","r"],["inspect-ai","r"],["langfuse","r"],["langsmith","r"],["openai-evals","r"],["phoenix","r"],["ragas","r"]],"v":{"r":"The agent evaluated several evaluation libraries and platforms, explicitly rejecting cloud-hosted SaaS (LangSmith, Braintrust), heavy self-hosted observability platforms (Langfuse, Phoenix), and Python-based tools (DeepEval, Inspect AI, OpenAI Evals, Ragas). It adopted Promptfoo CLI with local scoring scripts, baseline scorecard comparison, and self-hosted GitHub Actions workflow execution.","c":1,"e":[["file","evals/promptfooconfig.yaml"],["file","evals/command.ts:3"],["file",".github/workflows/eval.yml:51-55"],["file","README.md:46-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Self-hosting, privacy or residency"},{"cat":"sandboxes","wave":3,"date":"2026-09-21","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-sandbox","secs":659,"k":"ed07bd3c-1e2f-4fb5-98d0-578d9146e52b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":68,"picks":[["vercel-sandbox","p"],["blaxel","m"],["runloop","m"],["daytona","r"],["e2b","r"],["modal","r"],["docker","m"],["firecracker","m"],["gvisor","m"]],"v":{"r":"The agent evaluated multiple sandbox solutions (E2B, Modal, Daytona, Vercel Sandbox) and committed completely to Vercel Sandbox by installing `@vercel/sandbox`, implementing `src/runner.js` against the `Sandbox.create` API with network policies and resource limits, and writing full test coverage.","c":1,"e":[["file","package.json:12"],["file","src/runner.js:1"],["file","README.md:7-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Repository coding agents","theme":"The plain ask"},{"cat":"background-jobs","wave":4,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"jobs-community-fastapi","pid":"JOBS-COMMON-FASTAPI-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":2123,"k":"ed2a964c-d1a2-4918-a821-2d4e459dc08b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":132,"picks":[["diy","p","d"],["celery","r"],["python-rq","r"]],"v":{"r":"The run opted for a custom DIY background job implementation built directly in Python and PostgreSQL (`app/export_jobs.py`, `app/worker.py`, Alembic migrations, and dedicated ECS worker service in Terraform), rather than introducing third-party task runners like Celery or RQ.","c":1,"e":[["file","app/export_jobs.py"],["file","app/worker.py"],["file","terraform/ecs.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Community-baseline queue choice","jobq":"Custom PostgreSQL queue","jobrt":"AWS ECS / Fargate worker","theme":"The plain ask"},{"cat":"code-review","wave":6,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"code-review-vibe-fjordnote","pid":"CR-FJORDNOTE-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"github-copilot-code-review","secs":382,"k":"ed316159-e2e2-487c-8e63-4593cfb93af8-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["github-copilot-code-review","p","b"],["coderabbit","r"]],"v":{"r":"The agent selected GitHub Copilot code review as its automated PR reviewer recommendation and implemented the path-scoped review instruction file `.github/instructions/sqlite.instructions.md` specifically structured for Copilot's `applyTo` frontmatter format.","c":0.95,"e":[["file",".github/instructions/sqlite.instructions.md"],["trace","33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":3,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"esign-junior-enterprise-meridian","pid":"SIGN-MERIDIAN-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"docusign","secs":1606,"k":"ed383a71-5e85-4245-8a02-a3c6bd946299-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":160,"picks":[["docusign","p"],["adobe-acrobat-sign","r"],["dropbox-sign","r"],["onespan-sign","r"],["pandadoc","r"],["scrive","r"],["signnow","r"]],"v":{"r":"The agent evaluated several electronic signature vendors and committed directly to DocuSign. It installed the DocuSign.eSign NuGet package, configured European site pinning, implemented DocuSign Connect webhook verification with HMAC, gated policy issuance and endorsement applications on completed envelopes, and added comprehensive test coverage.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Services/DocuSignSignatureProvider.cs"],["file","src/Meridian.PolicyCore/Controllers/DocuSignConnectController.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"voice-agents-helpdesk","pid":"VAGT-HELPDESK-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"twilio-conversationrelay","secs":1499,"k":"ed608556-22f2-4a93-9420-56abb4072c9f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":118,"picks":[["twilio-conversationrelay","p"],["bland-ai","m"],["livekit-agents","m"],["openai-realtime","m"],["retell-ai","m"],["vapi","m"]],"v":{"r":"The agent proposed and implemented Twilio ConversationRelay to manage the voice connection, inbound phone routing, real-time speech/TTS over WebSockets, interruption/barge-in handling, and agent handoff.","c":0.98,"e":[["file","phone/package.json:11"],["file","phone/src/twiml.ts:5-13"],["file","phone/src/server.ts:88-112"],["file",".env.example:35-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio-conversationrelay"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"bc-botp-prompt-c-01","pid":"BOTP-PC-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel-botid","secs":431,"k":"ed6b810c-852d-431f-ad05-54a6db8f2a7a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":78,"picks":[["vercel-botid","p"],["hcaptcha","r"],["recaptcha","r"],["turnstile","r"]],"v":{"r":"The agent evaluated bot protection solutions and implemented Vercel BotID (`botid`) across the Next.js storefront by wrapping next.config.mjs, mounting BotIdClient in the root layout, and enforcing checkBotId() on both unauthenticated write endpoints.","c":1,"e":[["file","package.json:13"],["file","next.config.mjs:1-15"],["file","app/layout.tsx:2-34"],["file","app/api/checkout/route.ts:1-16"],["file","app/api/newsletter/route.ts:1-16"],["file","vercel.json:7-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-21","repo":"remix-workshop-bookings","variant":"base","family":"payments-vibe-workshops","pid":"PAY-4a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":983,"k":"ed891b78-b397-465f-87a2-71c93559cef4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":105,"picks":[["stripe","p"],["mollie","m"],["adyen","m"],["gocardless","r"],["paypal","r"],["square","r"]],"v":{"r":"The agent evaluated payment options, recommended Stripe Checkout, and then fully implemented Stripe Checkout with the Stripe Node SDK, database migrations, webhook handling, and UI updates.","c":1,"e":[["file","package.json"],["file","app/stripe.server.ts"],["file","app/routes/webhooks.stripe.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"dply-g-vite-invoice-tracker","pid":"DPLY-63g","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"render","secs":511,"k":"eda6d200-4738-4928-ba19-981b538193b0-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":74,"picks":[["render","p"],["cloudflare","r"],["digitalocean","r"],["fly-io","r"],["github-pages","r","b"],["netlify","r"],["railway","r"],["vercel","r"]],"v":{"r":"The agent explicitly chose Render to deploy the full-stack application as a single long-lived Node web service in Virginia, creating a `render.yaml` configuration file with automatic deployment triggers from the main branch and updating project documentation accordingly. Alternatives like Vercel, Railway, Fly.io, Cloudflare, Netlify, DigitalOcean, and GitHub Pages were evaluated and rejected.","c":0.98,"e":[["file","render.yaml:1-30"],["file","README.md:31-41"],["trace","seq:47"],["trace","seq:74"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":4,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qodo","secs":989,"k":"ee1406f3-dd55-42df-8073-6f3d15cad235-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":99,"picks":[["qodo","p"],["github-copilot-code-review","r"]],"v":{"r":"The run selected and fully implemented Qodo's PR-Agent (Qodo Merge) via a custom Azure DevOps pipeline (`azure-pipelines-pr-review.yml`) with configuration in `.pr_agent.toml` and review rules in `docs/pr-review-instructions.md`. It explicitly evaluated and rejected GitHub Copilot code review due to EU regional residency and failover constraints.","c":1,"e":[["file",".pr_agent.toml:1-76"],["file","azure-pipelines-pr-review.yml:49-140"],["trace","30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-21","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1522,"k":"ee3f8689-1950-4f54-aad7-03f19da2ebf9-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":117,"picks":[["amazon-textract","p"],["anthropic-claude","r"],["azure-document-intelligence","r"],["mindee","r"],["reducto","r"],["veryfi","r"],["docling","m"],["docparser","m"],["extend","m"],["google-gemini","m"],["hyperscience","m"],["openai-models","m"],["rossum","m"],["tesseract","m"]],"v":{"r":"The agent explicitly recommended, installed the official AWS SDK client for, and implemented Amazon Textract AnalyzeDocument (with TABLES and QUERIES features) to extract bills of lading and split multi-page PDF documents. The alternatives (Google Document AI, Azure Document Intelligence, Reducto, Veryfi, Mindee, and Anthropic Claude) were thoroughly evaluated in comparison and explicitly rejected with detailed operational and capability reasons.","c":1,"e":[["file","go.mod:7"],["file","internal/docs/textract.go:1-227"],["file","cmd/opsd/main.go:42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":4,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"django-i18n","secs":1992,"k":"ee4e30e6-b2b6-4ca8-bb06-f8f25da02691-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":200,"picks":[["django-i18n","p","b"],["gettext","m"],["weblate","m"],["django-parler","m"]],"v":{"r":"The agent selected and implemented Django's built-in internationalization framework (`django-i18n`), configuring `USE_I18N`, gettext PO catalogs, middleware for language resolution, and `compilemessages` in the Docker container build. GNU gettext was added as a build dependency, Weblate was documented as the translation workflow for translators, and Phrase/Crowdin were surveyed during the initial evaluation.","c":0.95,"e":[["file","brightloom/settings.py:114-128"],["file","apps/roster/middleware.py:1-43"],["file","apps/roster/languages.py:1-88"],["file","templates/base.html:1-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":6,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"bc-payments-prompt-c-08","pid":"PAY-PC-08a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":916,"k":"ee4fcf66-6c4a-4408-9576-52e278ce9e3a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":66,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated the project requirements and implemented a payment collection adapter integrating Stripe (using the official 'stripe' npm library) for invoicing, automatic tax calculation, payment processing, and reconciliation.","c":1,"e":[["file","package.json"],["file","packages/billing/src/stripe-collection.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-aigw-prompt-b-04","pid":"AIGW-PB-04b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"openrouter","secs":531,"k":"ee849131-1b05-4d7d-9b4a-52531d99ace7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":50,"picks":[["openrouter","p"],["cloudflare-ai-gateway","r"],["helicone","r"],["litellm","r"],["portkey","r"],["vercel-ai-gateway","r"]],"v":{"r":"The agent evaluated multiple hosted and self-hosted AI gateway solutions (Cloudflare AI Gateway, Portkey, LiteLLM, Vercel AI Gateway, Helicone, Kong AI Gateway) and selected OpenRouter for its minimal operational footprint, unified billing, and built-in model failover. It implemented OpenRouter via native fetch in src/drafts.js and src/server.js, updated documentation and environment configurations, and added automated test coverage.","c":1,"e":[["file","src/drafts.js"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"jobs-common-next-storefront","pid":"JOBS-COMMON-NEXT-STORE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"inngest","secs":871,"k":"ee8df81c-eb39-4771-897e-2bf77cee0fa1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":130,"picks":[["inngest","p"],["amazon-sqs","r"],["bullmq","r"],["qstash","r"],["trigger-dev","r"],["vercel-workflow","r"],["vercel-queues","m"]],"v":{"r":"The agent proposed Inngest Cloud, received confirmation from the user, and implemented the background job flow using `inngest` and `inngest/next`. The webhook hands off order receipt events to Inngest, and the `send-order-receipt` function executes asynchronously with retry and idempotency logic.","c":1,"e":[["file","app/api/inngest/route.ts"],["file","lib/inngest.ts"],["file","lib/order-receipt.ts"],["file","app/api/webhooks/stripe/route.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["inngest"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"ai-gateway","wave":6,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-aigw-prompt-c-03","pid":"AIGW-PC-03b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":1009,"k":"eec58bf4-e4ae-4602-bd7b-e78b30b84f9e-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":119,"picks":[["cloudflare-ai-gateway","p"],["helicone","m"],["openrouter","m"],["portkey","r"],["amazon-bedrock","m"]],"v":{"r":"The agent explicitly selected and implemented Cloudflare AI Gateway to handle hosted routing, timeouts, retries, and privacy configurations for quiz generation requests sent to Google Vertex AI.","c":1,"e":[["file","apps/quizzes/gateway.py:1-100"],["file","brightloom/settings.py:157-162"],["file",".env.example:26-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-21","repo":"dotnet-field-ops","variant":"base","family":"mail-senior","pid":"MAIL-3b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-communication-services","secs":992,"k":"eef3380b-8bdf-4600-8cc0-e9e46742ccbd-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":74,"picks":[["azure-communication-services","p"],["resend","m"],["aws-ses","r"],["postmark","r"],["sendgrid","r"],["smtp","r"]],"v":{"r":"The agent selected Azure Communication Services Email as the primary transactional email solution for this ASP.NET Core project running on Azure App Service. It installed the Azure.Communication.Email SDK, implemented the email sending client with DefaultAzureCredential, added an Event Grid webhook receiver to handle bounce and delivery reports, updated database models and schema, and documented operational requirements in the README.","c":1,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj"],["file","src/BrackenRidge.FieldOps/Services/AcsCompletionEmailSender.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-communication-services"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-21","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-automations","secs":451,"k":"ef09e492-4da9-4f0d-a2a2-6bcdb5c2a9eb-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":46,"picks":[["cursor-automations","p"]],"v":{"r":"The agent selected Cursor Automations as the AI-SRE workflow tool to handle automated Sentry error investigation and fix PR generation. It configured the necessary Cloud Agent container environment (.cursor/Dockerfile, .cursor/environment.json, .cursor/start.sh) and instructions (AGENTS.md) to support this setup.","c":0.95,"e":[["file",".cursor/environment.json"],["file",".cursor/Dockerfile"],["file",".cursor/start.sh"],["file","AGENTS.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-automations"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":6,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"next-intl","secs":1336,"k":"ef26651c-f18b-4fb4-97d1-46154d4c9450-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":192,"picks":[["next-intl","p"],["paraglide","a"],["intl-api","m"]],"v":{"r":"The agent explicitly recommended, installed, and configured `next-intl` (v4.14.6) to provide localized routing (`/[locale]`), message translation catalogs (`en`, `de`, `fr`), locale negotiation middleware, and price formatting.","c":1,"e":[["file","package.json"],["file","next.config.mjs"],["file","middleware.ts"],["file","i18n/routing.ts"],["file","app/[locale]/layout.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"leaflet","secs":2210,"k":"ef3b45cd-c0a4-400f-8c91-2fef9ceee4de-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":232,"picks":[["leaflet","p"],["openstreetmap","m"],["mapbox","r"],["maplibre","r"]],"v":{"r":"The agent evaluated several approaches and selected Leaflet as the mapping library, vendoring Leaflet 1.9.4 assets into the Go embed filesystem and serving OpenStreetMap tiles as the default tile layer.","c":0.95,"e":[["file","internal/httpapi/map/static/leaflet.js"],["file","internal/httpapi/map/static/leaflet.css"],["file","internal/httpapi/map/page.html"],["trace","18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-21","repo":"b2b-subscriptions","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"grafana","secs":801,"k":"ef65afb6-506e-4cf0-b58a-e0352aa11f92-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":116,"picks":[["grafana","p"],["opentelemetry","m"],["axiom","r"],["betterstack","r"],["datadog","r"],["highlight","r"],["honeycomb","r"],["new-relic","r"],["prometheus","r"],["sentry","r"],["signoz","r"]],"v":{"r":"The agent explicitly picked Grafana Cloud as the single managed observability backend for traces, metrics, logs, and alerting. It instrumented the Node.js API with the OpenTelemetry SDK to push OTLP data directly to Grafana Cloud and wrote a script to provision the 5xx server-error alert rule in Grafana via its HTTP API.","c":1,"e":[["file","README.md"],["file","apps/api/src/provision-alert.js"],["file","apps/api/src/telemetry.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"model-choice","wave":3,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"model-senior","pid":"MODEL-3a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"openai","secs":354,"k":"ef7a661c-6486-4290-a1d9-84361aa4ec46-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":55,"picks":[["openai","p"],["anthropic","r"],["claude-opus-5","m"]],"v":{"r":"The agent selected OpenAI, installed the `openai` npm dependency, implemented a complete integration in `lib/ai.ts`, wired it into `app/api/help/route.ts`, and updated `.env.example` with the model configurations. Anthropic was considered during model deliberation but rejected to avoid multi-vendor complexity.","c":1,"e":[["file","package.json:15"],["file","lib/ai.ts:1-110"],["file",".env.example:18-21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"sentry","secs":1186,"k":"ef80c92b-d421-41fa-b8a5-fc828375f487-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":192,"picks":[["sentry","p"],["datadog","r"],["grafana","r"],["axiom","m"],["honeycomb","m"],["new-relic","m"],["opentelemetry","m"],["prometheus","m"]],"v":{"r":"The agent evaluated Datadog, Grafana Cloud, and Sentry in `docs/observability.md`, explicitly choosing Sentry for both the NestJS API and Next.js web application with full error, log, trace, and metric instrumentation, CDK secret integration, and a reproducible metric alert script.","c":1,"e":[["file","docs/observability.md:1-45"],["file","apps/api/src/instrument.ts:1-44"],["file","apps/web/sentry.shared.ts:1-46"],["file","scripts/apply-sentry-alert.mjs:1-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":732,"k":"efacdfa5-8bc5-4a86-b7b5-bef71a7d85c8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":47,"picks":[["apple-mapkit","p","b"],["arcgis","r"],["google-maps","r"],["mapbox","r"],["maplibre","r"],["ordnance-survey","r"],["leaflet","m"],["openstreetmap","m"]],"v":{"r":"The agent evaluated native and third-party map options for a macOS SwiftUI app, recommended Apple MapKit, and implemented it fully using SwiftUI Map, MapStyle (.imagery and .standard), and MapKit coordinate handling without adding third-party dependencies.","c":1,"e":[["file","Sources/Views/SiteMapView.swift:1-180"],["file","Tests/SiteMapRegionTests.swift:1-41"],["file","Resources/LarkfieldSiteLog.entitlements:8-12"],["file","project.yml:39-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-21","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"twilio-conversationrelay","secs":1123,"k":"efc80018-7645-48ed-b240-b32947fbce3b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":133,"picks":[["twilio-conversationrelay","p"],["amazon-connect","m"],["livekit-agents","a"],["vapi","r"],["twilio-programmable-voice","m"]],"v":{"r":"The run chose and fully integrated Twilio ConversationRelay to connect live PSTN phone calls to a WebSocket voice service that manages agent turns, interruptions, claim actions, and handoff transfers.","c":0.95,"e":[["file","voice/src/twilio.ts"],["file","voice/src/server.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio-conversationrelay"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-21","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06d","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"exa","secs":560,"k":"f0100145-e767-4d92-8ec9-4176b5c6b42a-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":81,"picks":[["exa","p"],["firecrawl","m"],["jina","m"],["kagi","m"],["linkup","m"],["parallel","m"],["you-com","m"],["brave-search","r"],["perplexity-sonar","r"],["serpapi","r"],["serper","r"],["tavily","r"]],"v":{"r":"The run clearly recommended and implemented Exa (`https://api.exa.ai/search`) to search for relevant passages with highlight excerpts and source URLs upon ticket creation. 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Other benchmarking tools (Criterion.rs, CodSpeed, Bencher, Divan) were deliberated and rejected in favor of hyperfine.","c":1,"e":[["file",".github/workflows/perf.yml:1-45"],["file","scripts/perf-gate.sh:1-496"],["file","CONTRIBUTING.md:29-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["hyperfine"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"auth","wave":7,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"auth-ent-senior-edtech-lms","pid":"AUTH-17a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":1591,"k":"f0ae495a-ff46-43da-9992-890ddfa6a1d4-r1","co":"grok-build47-capacity-20260922","ts":"bare","sandbox":"e2b","ev":107,"picks":[["classlink","p"],["clever","p"],["okta","m"],["entra-id","m"],["djangosaml2","r"],["mozilla-django-oidc","m"]],"v":{"r":"The agent evaluated several SSO approaches and implemented Clever Instant Login and ClassLink LaunchPad OAuth flows to authenticate district staff into Django sessions, with complete client logic, views, tests, and configuration settings.","c":0.95,"e":[["file","apps/roster/sso.py:46-50"],["file","apps/roster/views.py:38-115"],["file","brightloom/settings.py:159-161"],["file","deploy/service.yaml:94-103"],["file","apps/roster/sso.py:38-45"],["file","apps/roster/views.py:38-115"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["classlink","clever"],"sk":0,"theme":"Procurement and compliance"},{"cat":"observability","wave":2,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"sentry","secs":1069,"k":"f0ba5447-df23-47a7-b14b-40b0fd964457-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":130,"picks":[["sentry","p"],["axiom","r"],["betterstack","r"],["datadog","r"],["grafana","r"],["highlight","r"],["honeycomb","r"],["new-relic","m"],["opentelemetry","m"]],"v":{"r":"The run comprehensively integrated Sentry via `@sentry/nextjs` across the Next.js application, configuring client, server, and edge runtimes, error boundaries, custom span/metric instrumentation for database queries and email batching, and alert provisioning scripts.","c":1,"e":[["file","package.json"],["file","next.config.ts"],["file","instrumentation.ts"],["file","lib/observability.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-21","repo":"django-legacy","variant":"base","family":"jobs-community-django","pid":"JOBS-COMMON-DJANGO-01a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1289,"k":"f0edbef8-2334-4cc8-b25b-d038690363b7-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":124,"picks":[["diy","p","d"],["amazon-sqs","r"],["celery","r"],["procrastinate","r"],["python-rq","r"],["django-q2","m"],["dramatiq","m"]],"v":{"r":"The run evaluated existing Celery/Redis background jobs and rejected routing customer exports through Celery due to Redis durability limitations, missing result backends, and queue contention. 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Other monitoring tools were considered in reasoning and rejected.","c":1,"e":[["file","monitoring/checkly.config.ts"],["file","monitoring/src/__checks__/booking-path.check.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["checkly"],"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"model-choice","wave":5,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"xai","secs":679,"k":"f1f8fa33-f818-4389-9d73-b1266dfb2341-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":118,"picks":[["xai","p"]],"v":{"r":"The agent selected xAI (defaulting to grok-4.7) and fully integrated its Responses API into the application via a custom HTTP client service (`XaiResponsesClient`), dedicated configuration in `config/services.php`, and a new `/tickets/{ticket}/drafts` route.","c":1,"e":[["file","config/services.php:29-34"],["file","app/Services/XaiResponsesClient.php:1-110"],["file",".env.example:35-38"],["file","README.md:14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["xai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e1-cairnfold","pid":"CDNY-E1-CAIRNFOLD-ck","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"restate","secs":2419,"k":"f21ef7c9-f829-4446-9b27-92a312a1fe81-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":227,"picks":[["restate","p"],["aws-step-functions","r"],["inngest","r"],["langgraph","r"],["temporal","r"],["trigger-dev","r"],["daytona","m"],["e2b","m"],["modal","m"]],"v":{"r":"The run evaluated multiple workflow and agent execution runtimes (Temporal, DBOS, Inngest, LangGraph, Trigger.dev, AWS Step Functions) and committed directly to Restate by adding `github.com/restatedev/sdk-go` to go.mod, implementing durable workflows and virtual objects in `internal/renewal/workflow.go`, building admin interaction in `internal/renewal/admin.go`, and creating the `cmd/renewal` worker process.","c":1,"e":[["file","go.mod:8"],["file","cmd/renewal/main.go:16-43"],["file","internal/renewal/workflow.go:14-175"],["file","internal/renewal/desk.go:13-100"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["restate"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":5,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"pytest-benchmark","secs":906,"k":"f237eab9-1746-4dd2-ac92-0a4d70605f6c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":94,"picks":[["pytest-benchmark","p"],["k6","r"]],"v":{"r":"The agent selected pytest-benchmark to implement an in-process latency gate for GET /contracts/summary against a baseline ratio, adding it to requirements-dev.txt and wiring the gate into GitHub Actions CI. Grafana k6 was deliberated and rejected due to missing tool/environment dependencies.","c":1,"e":[["file","requirements-dev.txt:3"],["file","perf/test_contract_summary.py:13-49"],["file","perf/gate.py:228-242"],["file",".github/workflows/ci.yml:26-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pytest-benchmark"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"voice-agents","wave":9,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01c","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vapi","secs":1651,"k":"f26b32e8-14b2-474e-b707-80f8868264e1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":145,"picks":[["vapi","p"]],"v":{"r":"The agent evaluated various voice platforms and selected Vapi. 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It unambiguously recommended CodeRabbit and created `.coderabbit.yaml` in the repository configured to enforce `CONTRIBUTING.md` with a chill tone profile.","c":1,"e":[["file",".coderabbit.yaml"],["trace","seq:41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-21","repo":"healthtech-ehr","variant":"base","family":"bc-mail-prompt-b-05","pid":"MAIL-PB-05a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1643,"k":"f2e6828f-a3ea-4936-a702-b09a4e6d0ce3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":164,"picks":[["diy","p","d"],["azure-communication-services","r"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The run evaluated third-party email providers (SendGrid, Azure Communication Services Email) and rejected them due to strict HIPAA and in-region data residency constraints. It built a custom in-cluster SMTP relay with direct MX forwarding and an encounter-summary worker connected via Azure SQL and Azure Service Bus.","c":0.95,"e":[["file","smtp-relay/src/main/java/com/marrowe/relay/SmtpRelayServer.java"],["file","smtp-relay/src/main/java/com/marrowe/relay/MxDelivery.java"],["file","encounter-summary/src/main/java/com/marrowe/summary/SmtpSummarySender.java"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"seam":"Context-heavy production email","theme":"Self-hosting, privacy or residency"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-auth-prompt-b-01","pid":"AUTH-PB-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"entra-id","secs":1184,"k":"f306aa94-e0f0-4b67-9234-a9b0a9ad95d5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["entra-id","p"],["builtin","r","b"]],"v":{"r":"The agent evaluated Single Sign-On options for the Azure-hosted ASP.NET Core billing API and explicitly recommended Microsoft Entra ID. Following user approval, it implemented token validation using Microsoft.Identity.Web and configured role-based authorization in code, Bicep infrastructure templates, and integration tests.","c":1,"e":[["file","src/Northmere.Billing.Api/Authentication/EntraAuthentication.cs"],["file","src/Northmere.Billing.Api/Program.cs"],["file","infra/main.bicep"],["file","Directory.Packages.props"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"mail","wave":1,"date":"2026-09-21","repo":"healthtech-ehr","variant":"base","family":"mail-enterprise-healthtech-ehr","pid":"MAIL-12a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-communication-services","secs":1324,"k":"f33e2a35-63ea-4c10-baf2-718663cb4754-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":146,"picks":[["azure-communication-services","p"],["diy","r","d"],["mailgun","r"],["postmark","r"],["resend","r"],["sendgrid","r"],["smtp","m"]],"v":{"r":"The run evaluated multiple transactional email options against the project's strict HIPAA/PHI compliance rules and existing Azure infrastructure. It committed to Azure Communication Services Email by creating a dedicated Bicep module, adding the SDK dependency (`azure-communication-email`), implementing `AcsEmailGateway` and `summary-mailer`, and rejecting external vendors (Amazon SES, SendGrid, Mailgun, Postmark, Resend) as compliance risks outside the Microsoft BAA.","c":1,"e":[["file","infra/bicep/modules/email.bicep"],["file","summary-mailer/pom.xml"],["file","summary-mailer/src/main/java/com/marrowe/mailer/AcsEmailGateway.java"],["file","summary-mailer/src/main/java/com/marrowe/mailer/MailerConfig.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-communication-services"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"model-choice","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"model-vibe","pid":"MODEL-1a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"openai","secs":1155,"k":"f35fcc55-a9ad-4be5-9382-e767eda751b7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":123,"picks":[["openai","p"],["groq","m"],["mistral","m"]],"v":{"r":"The user requested a model setup recommendation to make the support assistant capable yet inexpensive. The agent evaluated multiple providers and explicitly recommended OpenAI (using GPT-5.6 Luna and GPT-5.6 Terra in a tiered setup), which the user approved and the agent fully implemented into the Laravel application codebase.","c":1,"e":[["file",".env.example:32-36"],["file","config/services.php:30-36"],["file","app/Services/Assistant.php:185-236"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-21","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"here","secs":2235,"k":"f3715c2c-fa11-487f-8444-fe8448fe0102-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":158,"picks":[["here","p"],["google-maps","r"],["mapbox","r"],["maplibre","r"],["ordnance-survey","r"],["graphhopper","m"],["mapsforge","m"],["osmdroid","m"],["protomaps","m"],["tomtom","m"],["valhalla","m"]],"v":{"r":"The agent evaluated mapping and navigation solutions under strict data protection, device policy, and offline constraints, ultimately recommending and integrating the HERE SDK for Android (Navigate edition). The diff configures the HERE Artifactory repository, pins the SDK version in the version catalog, adds HERE credentials to managed app restrictions, and implements full offline navigation and map display in `HereServiceAreaMap.kt`.","c":1,"e":[["file","gradle/libs.versions.toml:46"],["file","settings.gradle.kts:22"],["file","app/build.gradle.kts:120"],["file","app/src/main/java/com/tollanwater/fieldmeter/map/HereServiceAreaMap.kt:47"],["file","docs/device-policy.md:39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["here"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-21","repo":"django-care-portal","variant":"base","family":"i18n-junior-enterprise-willowmere-e2","pid":"I18N-WILLOWMERE-03c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"django-i18n","secs":839,"k":"f39b1cd7-5f53-495e-915d-bb3e3262086e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":85,"picks":[["django-i18n","p","b"],["gettext","r"]],"v":{"r":"The run implemented internationalization using Django's built-in translation framework (`django-i18n`), configuring `LocaleMiddleware`, `gettext` message catalogs (`.po`/`.mo` files for Spanish and Vietnamese), model field lazy translations, and date formatting. External translation libraries like Babel and GNU gettext CLI tools were probed and rejected due to missing packages/binaries.","c":0.98,"e":[["file","careportal/settings.py"],["file","visits/middleware.py"],["file","templates/base.html"],["file","templates/appointment.html"],["file","visits/models.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"Procurement and compliance"},{"cat":"internationalization","wave":5,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"rails-i18n","secs":1527,"k":"f3a8fd90-9378-4fef-a27a-2151c54aab75-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":203,"picks":[["rails-i18n","p","b"],["i18n-tasks","c"],["gettext","r"]],"v":{"r":"The agent evaluated the project and implemented a comprehensive internationalization solution using Rails I18n (native to Rails with rails-i18n) for core application translations, locale handling, and formatting, paired with i18n-tasks for static translation analysis, test failure on missing keys, and CSV export/import for translators. GNU gettext was considered and discarded due to complexity.","c":0.95,"e":[["file","config/application.rb:28-32"],["file","app/controllers/application_controller.rb:14-25"],["file","Gemfile:26-28"],["file","Gemfile:34-36"],["file","config/i18n-tasks.yml:1-47"],["file","test/i18n_test.rb:1-46"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-21","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1544,"k":"f3d1cdae-beb9-42d4-84ed-22df34209f2d-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":180,"picks":[["diy","p","d"],["amazon-sqs","r"],["apache-kafka","r"],["bullmq","r"],["google-pubsub","r"],["graphile-worker","r"],["inngest","r"],["nats","r"],["pg-boss","r"],["rabbitmq","r"],["redis","r"],["svix","r"],["temporal","r"],["trigger-dev","r"],["upstash","r"],["vercel-queues","m"]],"v":{"r":"The agent explicitly recommended and fully implemented a custom Postgres-native transactional outbox queue using a `jobs` table, `FOR UPDATE SKIP LOCKED` row locking, and `LISTEN`/`NOTIFY` on direct Postgres connections. External message brokers (SQS, Redis/BullMQ, Kafka, RabbitMQ, NATS, Pub/Sub, Inngest, Trigger.dev, Temporal, Svix, QStash) were explicitly evaluated and rejected to avoid adding sub-processors and dual-write consistency issues. Third-party Postgres queue libraries (Graphile Worker, pg-boss, PGMQ) were also evaluated and rejected in favor of hand-written SQL/Drizzle migrations.","c":1,"e":[["file","drizzle/0005_jobs_and_webhooks.sql"],["file","lib/jobs/enqueue.ts"],["file","lib/jobs/run.ts"],["file","scripts/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"e-signature","wave":1,"date":"2026-09-21","repo":"nextjs-b2b-saas","variant":"base","family":"esign-senior-enterprise-sablecrest","pid":"SIGN-SABLECREST-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"dropbox-sign","secs":1463,"k":"f3fd8c2c-20b5-487c-bab2-2d3025d1345d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":188,"picks":[["dropbox-sign","p"],["adobe-acrobat-sign","r"],["anvil","r"],["boldsign","r"],["documenso","r"],["docusign","r"],["pandadoc","r"],["signnow","r"],["signwell","r"],["signatureapi","m"]],"v":{"r":"The agent evaluated several e-signature solutions and fully committed to Dropbox Sign. It created `lib/dropbox-sign.ts`, configured webhook listeners at `app/api/webhooks/dropbox-sign/route.ts`, added environment variables in `.env.example`, documented the architecture in `CLAUDE.md` and `README.md`, and added Dropbox Sign to the sub-processor disclosure on the security page.","c":1,"e":[["file","lib/dropbox-sign.ts"],["file","app/api/webhooks/dropbox-sign/route.ts"],["file",".env.example"],["file","CLAUDE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dropbox-sign"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"agent-runtime","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e3-lumen","pid":"CDNY-E3-LUMEN-ak","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"multiple","secs":1569,"k":"f432fa41-836a-407a-872c-45cd08d149df-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":224,"picks":[["vercel-ai-sdk","p"],["vercel-workflow","p"],["autogen","m"],["fastmcp","m"],["semantic-kernel","m"],["claude-agent-sdk","r"],["cloudflare-agents","r"],["crewai","r"],["daytona","r"],["e2b","r"],["inngest-agent-kit","r"],["langgraph","r"],["mastra","r"],["modal","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["inngest","m"],["langchain","m"],["langgraph-platform","m"],["llamaindex","m"]],"v":{"r":"The agent evaluated several agent frameworks (LangGraph, Mastra, Inngest AgentKit, OpenAI Agents SDK, Claude Agent SDK, Temporal, etc.) and explicitly selected and implemented a combined solution using Vercel AI SDK (`ai`, `@ai-sdk/react`, `@ai-sdk/workflow`, `@ai-sdk/sandbox-vercel`) and Vercel Workflow (`workflow`, `withWorkflow`). Both packages were installed, configured in `next.config.ts`, wired into API routes, and tested.","c":0.95,"e":[["file","package.json"],["file","app/agent/chat.tsx"],["file","workflow/studio-agent.ts"],["file","next.config.ts"],["file","package.json"],["file","workflow/studio-agent.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-sdk","vercel-workflow"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":11,"date":"2026-09-22","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e3-ferngate","pid":"CDNY-E3-FERNGATE-ak","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":2476,"k":"f46934ec-2f24-4484-a049-e6f45ddc51e0-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":307,"picks":[["temporal","p"],["e2b","c"],["fastmcp","c"],["daytona","a"],["modal","a"],["autogen","r"],["claude-agent-sdk","r"],["crewai","r"],["inngest","r"],["langgraph","r"],["llamaindex","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["semantic-kernel","r"],["langchain","m"],["langgraph-platform","m"]],"v":{"r":"The agent architected and fully implemented a multi-product agent runtime architecture: Temporal serves as the primary durable workflow orchestrator to manage stateful turn loops and multi-day approval signals; FastMCP dynamically ingests OpenAPI specifications into tool definitions at runtime; and E2B provides an isolated sandbox for generated code execution. Other agent frameworks (LangGraph, DBOS, Inngest, Pydantic AI, ADK, etc.) and sandbox options (Modal, Daytona) were explicitly evaluated and rejected with detailed technical justifications.","c":0.95,"e":[["file","apps/agents/workflow.py"],["file","apps/agents/worker.py"],["file","apps/agents/activities.py"],["file","requirements.txt"],["file","apps/agents/sandbox.py"],["file","requirements.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","fastmcp","temporal"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"express-api","variant":"base","family":"mq-junior-corkboard","pid":"MQ-CORKBOARD-02c","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1322,"k":"f497e810-bd40-4b24-9bd0-eeb48ddf8570-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":102,"picks":[["diy","p","d"],["agenda","r"],["amazon-sqs","r"],["bullmq","r"],["cloud-tasks","r"],["graphile-worker","r"],["pg-boss","r"],["upstash","r"],["redis","m"]],"v":{"r":"The agent explicitly evaluated third-party queue solutions (BullMQ, Agenda, SQS, Cloud Tasks, QStash, pg-boss, Graphile Worker) but rejected them in favor of implementing an in-house transactional outbox pattern directly over the pre-existing MongoDB Atlas database with a dedicated worker process.","c":0.95,"e":[["file","models/SmsOutbox.js:1-34"],["file","services/outbox.js:1-478"],["file","scripts/smsWorker.js:1-18"],["file","docker-compose.yml:15-28"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-21","repo":"express-api","variant":"base","family":"obs-uptime-express-api","pid":"OBS-UPTIME-04a","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"builtin","secs":265,"k":"f4a0def7-bc7f-4c02-a090-c5a6e9cfb58e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":44,"picks":[["builtin","p","b"],["betterstack","r"],["checkly","r"],["datadog","r"],["prometheus","r"],["uptime-kuma","r"],["uptime-robot","r"]],"v":{"r":"The agent inspected the repository and chose DigitalOcean Uptime checks and alerts declared in Terraform (`monitoring/uptime.tf`, `variables.tf`, `versions.tf`), probing `https://api.corkboard.events/api/events` with alert routing to Slack webhooks and email addresses. Because the project already runs on DigitalOcean, this represents a builtin capability.","c":0.95,"e":[["file","monitoring/uptime.tf"],["file","monitoring/variables.tf"],["file","monitoring/versions.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"usage-based-billing","wave":5,"date":"2026-09-22","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metronome","secs":1240,"k":"f4c2f87d-18ab-45d1-934a-79cad9c449b0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":89,"picks":[["metronome","p"],["kill-bill","r"],["lago","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated multiple usage-based billing platforms (Metronome, Orb, Stripe Billing, Lago, Kill Bill), explicitly rejected the alternatives with specific technical reasons, and fully integrated Metronome into the repository for metering, rating, and open-period invoice spend tracking.","c":1,"e":[["file","src/billing/metronome.ts"],["file","docs/metronome-setup.md"],["file","src/billing/usageEvents.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"inngest","secs":1445,"k":"f4e9d224-0777-4f9f-95cf-c552360c31d3-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":135,"picks":[["inngest","p"],["bullmq","r"],["trigger-dev","r"],["upstash","r"],["vercel-queues","r","b"],["vercel-workflow","r","b"],["redis","m"],["supabase-queues","m"]],"v":{"r":"The agent evaluated several background job, queue, and workflow options (Trigger.dev, QStash, Vercel Workflow, Vercel Queues, BullMQ, Temporal, Hatchet) before recommending and fully implementing Inngest to handle asynchronous reminder fan-out, class cancellation notices, and 1-hour waitlist event orchestration.","c":1,"e":[["file","lib/inngest/client.ts"],["file","lib/inngest/functions.ts"],["file","app/api/inngest/route.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["inngest"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":5,"date":"2026-09-22","repo":"expo-foodtrucks","variant":"base","family":"maps-junior-brindle","pid":"MAPS-BRINDLE-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"maplibre","secs":1020,"k":"f50174ff-a56e-4852-832b-02a7845fb764-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":149,"picks":[["maplibre","p"],["maptiler","m"],["openfreemap","m"],["openmaptiles","m"],["openstreetmap","m"],["protomaps","m"],["stadia-maps","m"],["google-maps","r"],["mapbox","r"],["react-native-maps","r"]],"v":{"r":"The agent evaluated several React Native mapping solutions and explicitly chose MapLibre (`@maplibre/maplibre-react-native`) with OpenFreeMap vector tiles, configuring them in `app.json`, `package.json`, `components/TodayMap.tsx`, and `lib/pins.ts`.","c":1,"e":[["file","package.json"],["file","app.json"],["file","components/TodayMap.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":6,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-stor-prompt-c-03","pid":"STOR-PC-03a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-s3","secs":1287,"k":"f507d3b8-0df9-41fe-b5a3-9a5ca4d00269-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":125,"picks":[["amazon-s3","p"],["minio","m"]],"v":{"r":"The agent recommended and implemented Amazon S3 as the primary managed object storage solution, adding Terraform configurations (S3 bucket, KMS key, IAM roles, and lifecycle rules), boto3 presigned URL generation in FastAPI, and Alembic migrations. MinIO was configured in docker-compose for local development compatibility.","c":1,"e":[["file","terraform/documents.tf"],["file","app/storage.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":5,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"bc-srvl-prompt-b-04","pid":"SRVL-PB-04a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"no-pick","secs":853,"k":"f520b967-67e7-44e7-a5fb-f74cb97ccad5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":73,"picks":[["aws-lambda","r"],["azure-functions","r"]],"v":{"r":"When asked to recommend and implement a scheduled serverless function for dashboard rollups, the agent advised against adopting any serverless compute product. It demonstrated that the ClickHouse cluster already maintains real-time rollups on insert via materialized views, and implemented the query routing directly in the FastAPI service and ClickHouse distributed tables instead.","c":0.95,"e":[],"jm":"gemini-3.7-flash","o":"none"},"sk":0,"theme":"The plain ask"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":813,"k":"f55c7e92-9b35-4eea-a8f4-e9ee5804399f-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":70,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated the catalog size (360 rows) and determined that an external search engine or full-text indexing tool was unnecessary. It implemented a DIY server-side search solution directly in Flask using SQLAlchemy ILIKE queries over the existing SQLite database.","c":1,"e":[["file","app/__init__.py:18-49"],["file","app/__init__.py:115-154"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-21","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-cloud-agents","secs":748,"k":"f57c99b1-1349-4905-9af0-1902ff8d2ea8-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":80,"picks":[["cursor-cloud-agents","p"]],"v":{"r":"The run explicitly selected and implemented Cursor Cloud Agents using the `cursor-sdk` Python library. It created an SRE subscriber package in `ops/sre` that consumes CloudWatch SNS alerts, executes cloud agents with MCP server log access, opens automated pull requests, and resumes existing agents for review comments and rollout verification.","c":1,"e":[["file","ops/sre/requirements.txt:1"],["file","ops/sre/incident.py:165-194"],["file","ops/sre/__main__.py:31-48"],["file","docs/monitoring.md:11-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-cloud-agents"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":8,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"openai-realtime","secs":2216,"k":"f595f708-f839-4589-af3e-71c6c58a1d6c-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":133,"picks":[["openai-realtime","p"],["vapi","r"],["grok-voice-agent","r"]],"v":{"r":"The agent evaluated several voice agent platforms and chose OpenAI's Realtime / GPT-Live API over WebRTC for an in-browser shopping assistant. The solution was fully implemented across API routes, UI components, and state management without additional telephony or media gateway dependencies.","c":0.95,"e":[["file","app/api/voice/session/route.ts"],["file","lib/voice-session.ts"],["file","components/voice-assistant.tsx"],["trace","33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-realtime"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"obs-senior","pid":"OBS-6c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1527,"k":"f5b0ae77-b462-4a71-b939-c57dbc2434c0-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":195,"picks":[["diy","p","d"],["bugsink","r"],["sentry","r"]],"v":{"r":"The agent evaluated third-party and self-hosted error monitoring solutions (Sentry, GlitchTip, Bugsink, Prometheus, Grafana) but explicitly rejected external tooling to keep operational overhead minimal and avoid unnecessary infrastructure. It implemented a custom DIY error monitoring subsystem inside the Rails app backed by the pre-existing PostgreSQL database.","c":1,"e":[["file","app/services/error_monitor.rb:1-279"],["file","config/error_monitoring.yml:1-9"],["file","app/controllers/ops/errors_controller.rb:1-17"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Error monitoring","theme":"Self-hosting, privacy or residency"},{"cat":"perf-ci","wave":4,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"perf-senior","pid":"PERF-1a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":424,"k":"f5c193ba-5fae-4f40-a671-78c1b5781464-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":42,"picks":[["diy","p","d"]],"v":{"r":"The agent implemented a custom Python benchmarking script (`scripts/perf_gate.py`) and added it directly to `.github/workflows/ci.yml` as a blocking gate required by `build-and-push`, choosing a DIY implementation over adopting any third-party performance CI framework.","c":1,"e":[["file",".github/workflows/ci.yml:25-35"],["file","scripts/perf_gate.py:1-241"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-21","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":1272,"k":"f5cb3aa2-1018-4617-addc-cd60a1d8272c-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":105,"picks":[["amazon-textract","p"]],"v":{"r":"The run specifically recommended and implemented Amazon Textract using the AWS Java SDK v2 (software.amazon.awssdk:textract) to fulfill regional compliance, urgency via synchronous calls, and async batch processing with field confidence thresholds.","c":1,"e":[["file","pom.xml:31-34"],["file","src/main/java/com/marrowe/referrals/TextractReferralExtractor.java:1-103"],["file","src/main/java/com/marrowe/referrals/TextractResults.java:1-125"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"internationalization","wave":3,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"rails-i18n","secs":1829,"k":"f619f0f2-fed3-4d0a-86e0-5ac315382389-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":205,"picks":[["rails-i18n","p"],["crowdin","m"],["i18n-tasks","m"],["lokalise","m"],["gettext","r"],["globalize","r"],["i18n-js","r"],["mobility","r"],["deepl","m"],["i18next","m"],["transifex","m"]],"v":{"r":"The run chose Rails I18n paired with the rails-i18n gem as the primary internationalization solution, adding gem dependencies in the Gemfile, configuring application locales, setting up account/order locale persistence, and adding French-Canadian YAML locale files. i18n-tasks was installed for auditing and linting translation keys in CI and test environments.","c":0.95,"e":[["file","Gemfile:27"],["file","config/application.rb:30-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qwen-qwen3-vl-8b-instruct","secs":1322,"k":"f65766fa-2007-4ba8-b138-649f48b6efc0-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":150,"picks":[["qwen-qwen3-vl-8b-instruct","p"],["paddleocr","m"],["llamaparse","r"],["mindee","r"],["tesseract","r"],["xai-grok","m"]],"v":{"r":"The run chose Qwen/Qwen3-VL-8B-Instruct running on the sovereign internal vLLM inference gateway for document extraction, explicitly ruling out external SaaS products (Azure AI Document Intelligence, Amazon Textract, Google Cloud Document AI, Mindee, LlamaParse, ABBYY) and choosing not to embed a local OCR engine like Tesseract in the memory-constrained application pods.","c":0.95,"e":[["file",".env"],["file","src/Service/InferenceClient.php"],["file","helm/citizen-portal/values.yaml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qwen-qwen3-vl-8b-instruct"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-21","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-data-node","pid":"SBX-MANAGED-DATA-NODE-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"e2b","secs":797,"k":"f65f70e2-8df4-490f-a513-96dcca33b44b-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":88,"picks":[["e2b","p"],["daytona","r"],["modal","r"],["vercel-sandbox","r"],["aws-lambda","m"],["blaxel","m"],["cloudflare-workers","m"],["firecracker","m"],["gvisor","m"]],"v":{"r":"The run installed the official 'e2b' SDK, configured a complete microVM execution and teardown lifecycle in src/transform.ts, updated environment configuration, and documented E2B operational ownership in README.md while explicitly evaluating and rejecting alternatives like Daytona, Vercel Sandbox, Modal, and Cloudflare Sandbox.","c":1,"e":[["file","package.json:19"],["file","src/transform.ts:1-161"],["file","README.md:9-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-auth-prompt-c-11","pid":"AUTH-PC-11a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"auth0","secs":816,"k":"f6bff829-5a81-4e9e-a465-34a35dad1d18-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":79,"picks":[["auth0","p"],["keycloak","r"],["okta","r"],["ory-network","r"],["stytch","r"],["workos-authkit","r"],["better-auth","r"],["clerk","r"],["lucia","r"],["passport","r"],["supabase-auth","r"],["authjs","m"],["openid-client","m"]],"v":{"r":"The agent evaluated multiple managed authentication services and self-hosted auth libraries, ultimately recommending and implementing Auth0 using openid-client for OIDC authentication code flow with PKCE and session cookie encryption.","c":1,"e":[["file","src/auth.js"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-21","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1374,"k":"f6c3fb6b-711d-4f66-8011-521c6d729a8d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":199,"picks":[["diy","p","d"],["amazon-sqs","r"],["apache-kafka","r"],["google-pubsub","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["aiven","m"],["amazon-eventbridge","m"],["amazon-sns","m"],["cloudamqp","m"],["redpanda","m"],["upstash","m"]],"v":{"r":"The agent evaluated third-party brokers (Kafka, RabbitMQ, Redis Streams, NATS, SQS, Google Pub/Sub, Temporal) and rejected them in favor of building a hand-written transactional outbox table (`order_events`) and cursor table (`event_cursors`) directly on the pre-existing PostgreSQL database.","c":1,"e":[["file","db/schema.sql"],["file","db/migrate-2026-09-outbox.sql"],["file","services/orders/src/consume.ts"],["file","services/fulfilment/app/consume.py"],["file","services/notifications/src/consume.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-device-dispatch","pid":"VAGT-DEVICE-DISPATCH-01b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"diy","secs":1971,"k":"f6ea1f39-53ee-441b-9852-43cae8c8297d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":139,"picks":[["diy","p","d"],["hume-evi","r"],["livekit-agents","r"],["openai-realtime","r"],["pipecat","r"],["vapi","r"]],"v":{"r":"The agent evaluated several cloud-based voice platforms (OpenAI Realtime, LiveKit Agents, Pipecat, Vapi, Retell AI, ElevenLabs, Hume EVI, Gemini Live) but disqualified them because the requirements demand operating disconnected on a tablet for up to an hour. After initially floating Soniqo speech-core for Android, the user requested an in-repo solution. The agent built a complete DIY on-device voice agent in Vue/Nuxt with an AudioWorklet PCM capture loop, energy-based VAD, custom proposal/confirmation state machine, IndexedDB storage, and outbox sync with backend idempotency and status guardrails.","c":0.95,"e":[["file","components/VoiceAgent.client.vue"],["file","composables/useVoiceAgent.ts"],["file","utils/voice/agent.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"vercel-workflow","secs":1561,"k":"f72b6b59-bc0c-4a71-8c13-3f9d042ad9e3-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":177,"picks":[["vercel-workflow","p"],["amazon-sns","r"],["amazon-sqs","r"],["bullmq","r"],["cloud-tasks","r"],["cloudflare-queues","r"],["inngest","r"],["redis","r"],["temporal","r"],["trigger-dev","r"],["upstash","r"],["vercel-queues","r"]],"v":{"r":"The agent evaluated several queue and workflow systems and committed to Vercel Workflow via the workflow npm SDK, implementing three full workflow handlers (cancellations, reminders, and waitlist offers with pause/resume hooks). All evaluated alternatives were systematically analyzed and rejected based on capability limits, serverless compatibility, and operational overhead.","c":1,"e":[["file","next.config.ts"],["file","workflows/offer-waitlist.ts"],["file","workflows/notify-cancellation.ts"],["file","workflows/send-reminders.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"voice-agents","wave":12,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"elevenlabs-agents","secs":1198,"k":"f74c44b6-cc6d-4b93-aa92-e99a2ba4130c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":137,"picks":[["elevenlabs-agents","p"],["vapi","r"],["smallest-ai","m"]],"v":{"r":"The agent evaluated several voice agent platforms against strict CPU and memory constraints, write-confirmation requirements, and low-latency interruption needs. It recommended and fully implemented integration with ElevenLabs Agents, including agent provisioning code (`cmd/voice-agent/main.go`), tool/prompt configuration (`internal/voice/agent.go`), and authenticated webhook handlers.","c":1,"e":[["file","cmd/voice-agent/main.go:30-70"],["file","internal/voice/agent.go:31-135"],["file","README.md:29-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs-agents"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":8,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"eval-senior-python-ai-analyst-cases","pid":"EVAL-08a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"pydantic-evals","secs":1468,"k":"f763a4e4-a70a-45df-8955-8c327c2f82b7-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":111,"picks":[["pydantic-evals","p"],["braintrust","r"],["deepeval","r"],["langfuse","r"],["langsmith","r"],["promptfoo","r"]],"v":{"r":"The agent evaluated several evaluation libraries and platforms (Promptfoo, DeepEval, Braintrust, LangSmith, Langfuse) and selected Pydantic Evals (pydantic-evals). It installed `pydantic-evals` as a dev dependency, authored deterministic evaluators using the package's APIs, constructed a versioned dataset in YAML, created synthetic test workbooks, implemented baseline regression gating in `evals/gate.py`, and added a GitHub Actions CI workflow to run the eval suite.","c":1,"e":[["file","pyproject.toml:24"],["file","evals/evaluators.py:7-33"],["file","evals/gate.py:20-21"],["file","README.md:70-76"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pydantic-evals"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"django-i18n","secs":1788,"k":"f77670c4-c5a1-4ff7-b5c9-30c8b6190dbc-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":190,"picks":[["django-i18n","p","b"],["crowdin","m"],["gettext","m"],["lokalise","m"],["smartling","m"],["django-modeltranslation","r"],["django-parler","r"],["fluent","r"],["formatjs","r"],["google-cloud-translation","r"]],"v":{"r":"The agent inspected the Django codebase and chose Django's native translation framework (builtin) utilizing gettext catalogs and django.utils.translation across views, templates, form errors, and email rendering. It authored custom middleware for district/staff language resolution, created .po catalogs for Spanish, Vietnamese, and Simplified Chinese, implemented custom XLIFF export/import commands, added catalog completeness checks for CI, and updated the Dockerfile and Cloud Build configs.","c":1,"e":[["file","brightloom/settings.py:55"],["file","brightloom/settings.py:117-128"],["file","apps/roster/middleware.py:1-41"],["trace","seq:18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"evals","wave":9,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-b-01","pid":"EVAL-PB-01a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"langfuse","secs":877,"k":"f782e4ba-d2e6-44d6-9997-827b69752923-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":109,"picks":[["langfuse","p"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The agent selected Langfuse Cloud as the dedicated LLM observability and tracing platform, adding `@langfuse/openai`, `@langfuse/otel`, and `@langfuse/tracing` dependencies to trace OpenAI model calls.","c":1,"e":[["file","package.json:17-19"],["file","src/tracing.ts:1-117"],["file","src/model.ts:2-12"],["file","README.md:17-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-21","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"next-intl","secs":1582,"k":"f78d7f51-ef47-4d72-b094-4af8d06962a1-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":181,"picks":[["next-intl","p"],["languine","m"],["next-international","m"],["tolgee","m"],["lingui","r"],["paraglide","r"],["formatjs","m"],["i18next","m"],["intl-api","m"]],"v":{"r":"The agent explicitly recommended and installed `next-intl` for a Next.js 16 App Router application. It structured message JSON files (`en.json`, `es.json`, `pt-BR.json`), configured `next-intl/plugin` and routing, and implemented locale-prefixed routes and server action translations.","c":1,"e":[["file","next.config.ts"],["file","i18n/routing.ts"],["file","i18n/request.ts"],["file","messages/en.json"],["trace","21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-21","repo":"go-customer-ops","variant":"base","family":"bc-aigw-prompt-c-06","pid":"AIGW-PC-06b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":596,"k":"f7a4eb07-3d50-4482-84c4-fb3dccd8e7e4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":57,"picks":[["cloudflare-ai-gateway","p"],["helicone","m"],["litellm","r"],["openrouter","r"],["portkey","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"],["vercel-ai-sdk","m"]],"v":{"r":"The agent explicitly evaluated hosted AI gateway options (Cloudflare AI Gateway, OpenRouter, Vercel AI Gateway, Portkey, Helicone, LiteLLM) and selected Cloudflare AI Gateway. It implemented the integration in `internal/summary/summary.go`, configured Cloudflare-specific headers (`cf-aig-collect-log-payload: false` and `cf-aig-request-timeout`), updated configuration and templates, and documented the setup in README.md.","c":1,"e":[["file","internal/summary/summary.go"],["file","README.md"],["file","internal/config/config_test.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-aigw-prompt-c-04","pid":"AIGW-PC-04b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-ai-gateway","secs":750,"k":"f7c4fa2c-082a-407e-b200-d8e2c5106c89-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":55,"picks":[["cloudflare-ai-gateway","p"],["helicone","r"],["litellm","r"],["openrouter","r"],["portkey","r"],["vercel-ai-gateway","r"],["amazon-bedrock","m"]],"v":{"r":"The agent evaluated multiple hosted AI gateway options (Cloudflare AI Gateway, OpenRouter, Portkey, Helicone, LiteLLM, Vercel AI Gateway) and selected Cloudflare AI Gateway. It implemented the integration in `src/drafts.js`, configured environment variables in `.env.example`, documented the gateway setup in `README.md`, and added comprehensive tests in `test/drafts.test.js`.","c":1,"e":[["file","src/drafts.js"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-21","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"hyperscience","secs":1526,"k":"f7d2bdc1-9914-4e27-a3ec-5fefc00e07ce-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":166,"picks":[["hyperscience","p"],["amazon-textract","r"]],"v":{"r":"The agent evaluated multiple document AI / OCR platforms and recommended Hyperscience deployed within each residency region to satisfy data privacy, stamp removal, handwriting, and clinical review requirements. The agent then fully implemented the Hyperscience REST client, endpoint routing, regional workers, extraction mapping, and test suite.","c":1,"e":[["file","src/main/java/com/marrowe/referrals/HyperscienceClient.java"],["file","src/main/java/com/marrowe/referrals/HyperscienceEndpoint.java"],["file","src/main/java/com/marrowe/referrals/RegionalReferralPipeline.java"],["trace","46"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["hyperscience"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-21","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1330,"k":"f7fabf71-bc2e-4985-930e-c1e0ee03e63d-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":124,"picks":[["metronome","p"],["lago","r"],["orb","r"],["stripe-billing","r"],["amberflo","m"],["chargebee","m"],["flexprice","m"],["kill-bill","m"],["maxio","m"],["paid","m"],["recurly","m"],["stigg","m"]],"v":{"r":"The agent explicitly recommended and integrated Metronome for usage-based metering, rating, and customer balance enforcement, while retaining Stripe solely as the payment collection rail. Alternatives like Orb, Lago, and Stripe Billing were evaluated and rejected.","c":1,"e":[["file","app/metronome.py:1-221"],["file","app/billing.py:1-169"],["file","README.md:36-66"],["file","tests/test_metronome.py:1-142"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Procurement and compliance"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-21","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1363,"k":"f8023e30-9b10-4a8c-90da-6076a9af727f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":123,"picks":[["metronome","p"],["amberflo","m"],["flexprice","m"],["m3ter","m"],["schematic","m"],["stigg","m"],["chargebee","r"],["kill-bill","r"],["lago","r"],["maxio","r"],["orb","r"],["recurly","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing systems and explicitly recommended and implemented Metronome as the primary usage-based billing platform. Metronome was integrated into the codebase with client wrappers, rate cards, provisioning CLI, draft invoice lookups on usage endpoints, and background event outbox delivery. Stripe was retained strictly as the payment rail.","c":1,"e":[["file","app/metronome.py:1-92"],["file","app/catalog.py:1-229"],["file","app/provision.py:1-173"],["file","app/usage_events.py:1-78"],["file","app/routes/usage.py:1-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-21","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"signoz","secs":809,"k":"f802f2a7-68ac-4b65-88e3-813d731bf5ea-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":74,"picks":[["signoz","p"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["honeycomb","m"],["jaeger","m"],["new-relic","m"],["prometheus","m"],["sentry","m"]],"v":{"r":"The run evaluated Datadog, Grafana Cloud / LGTM, and SigNoz, explicitly selecting self-hosted SigNoz. It configured the Kubernetes deployment to send OTLP data to the SigNoz collector, created a SigNoz metric alert rule script, instrumented the Spring Boot application using the OpenTelemetry starter, and documented the comparison in docs/observability.md.","c":1,"e":[["file","deploy/deployment.yaml:18-21"],["file","deploy/signoz/settlement-rejected-alert.json:1-78"],["file","docs/observability.md:1-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["signoz"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-21","repo":"vite-invoice-tracker","variant":"base","family":"bc-databases-prompt-b-03","pid":"DB-PB-03a","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"neon","secs":535,"k":"f85b962a-3216-462d-8866-c18ec08255fa-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":65,"picks":[["neon","p"],["postgres","m"],["redis","m"],["sqlite","m"]],"v":{"r":"The agent inspected the application, identified that the database is hosted on Neon, and specifically tuned the database client options (`prepare: false` for PgBouncer compatibility, SSL enforcement, and idle timeouts) in `server/db.mjs` and startup logic to persist invoices to the Neon project.","c":0.95,"e":[["file","server/db.mjs:12-25"],["file",".env.example:7-11"],["file","server/index.mjs:79-84"],["file","src/App.jsx:107-109"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":6,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"bc-panl-prompt-c-09","pid":"PANL-PC-09c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"metabase","secs":1853,"k":"f86f9e19-52a3-4488-a82e-197474c7105c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":174,"picks":[["metabase","p"],["lightdash","m"],["amplitude","r"],["mixpanel","r"],["posthog","r"],["looker","m"]],"v":{"r":"The agent evaluated product analytics solutions that could work directly against the existing warehouse pipeline. It selected Metabase, implemented a full CDK stack deploying Metabase on ECS Fargate connected to the warehouse, set up automated dashboard bootstrapping scripts, and explicitly rejected standalone event stores like Amplitude, Mixpanel, and PostHog to avoid redundant data collection.","c":1,"e":[["file","infra/lib/analytics-stack.ts:74-97"],["file","infra/analytics/bootstrap-metabase.mjs:1-235"],["file","CLAUDE.md:25"],["file","README.md:41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"sk":0,"theme":"Fits an existing data stack"},{"cat":"document-processing","wave":4,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01d","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1509,"k":"f89b8a97-9b3b-4ba3-8477-ecfd708024d5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":126,"picks":[["azure-document-intelligence","p"],["abbyy","m"],["hyperscience","m"],["instabase","m"],["amazon-textract","r"],["anthropic-claude","r"],["azure-content-understanding","r"],["openai-models","r"],["google-gemini","m"],["uipath-document-understanding","m"]],"v":{"r":"The agent selected Azure Document Intelligence (Layout model) and implemented complete intake, verification, and Bicep infrastructure code. It explicitly compared and rejected alternative document processing platforms (Textract, Google Document AI, Azure Content Understanding, OpenAI, Claude, Mistral) based on single-region EU data residency and row-level table accuracy requirements.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj:15"],["file","src/Meridian.PolicyCore/Services/LossRuns/DocumentIntelligenceLayoutAnalyzer.cs:11-110"],["file","infra/bicep/modules/document-intelligence.bicep:1-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":5,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01b","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"qodo","secs":574,"k":"f8a5fe28-84b7-4efa-8810-d227e1b52119-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["qodo","p"],["gitlab-duo","a","b"],["semgrep","a"],["psalm","m"]],"v":{"r":"The user requested an automated code review solution that runs on self-hosted GitLab within strict national zone constraints. The agent recommended and implemented PR-Agent (configured in .pr_agent.toml and wired in .gitlab-ci.yml), while evaluating Semgrep and GitLab Duo Code Review as alternatives during reasoning.","c":1,"e":[["file",".gitlab-ci.yml:28-107"],["file",".pr_agent.toml:1-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"perf-ci","wave":4,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"k6","secs":2010,"k":"f8b5dff6-8044-4a92-bbe3-01418281ae74-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":161,"picks":[["k6","p"],["benchmarkdotnet","m"],["nbomber","r"]],"v":{"r":"The agent explicitly selected Grafana k6 after testing NBomber and abandoning it due to licensing constraints. The diff implements a full k6 setup in GitHub Actions, including a C# harness and JS scenario script.","c":0.95,"e":[["file",".github/workflows/ci.yml:23-36"],["file","perf/BrackenRidge.FieldOps.Perf/work-order-board.js:1-42"],["file","perf/BrackenRidge.FieldOps.Perf/Program.cs:30-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"payments-vibe-workshops","pid":"PAY-4a","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1057,"k":"f8e75f89-9c57-4372-b5b3-ae5d9dc6da42-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":109,"picks":[["stripe","p"],["paypal","r"],["square","r"]],"v":{"r":"The agent recommended and fully implemented Stripe Checkout integration with the `stripe` npm SDK, setting up session creation, webhook verification, seat-hold expiration handling, and refund processing. Alternative options like PayPal and Square were explicitly evaluated and rejected.","c":1,"e":[["file","package.json:21"],["file","app/stripe.server.ts:1-166"],["file","app/routes/webhooks.stripe.ts:1-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01c","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"toolhive","secs":1396,"k":"f8f77690-b3dd-4245-af7b-4ab87fe10496-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":168,"picks":[["toolhive","p"]],"v":{"r":"The run evaluated MCP gateway options and committed fully to Stacklok ToolHive. It configured Helm values for the ToolHive operator, deployed VirtualMCPServer and MCPRemoteProxy CRDs in Kubernetes manifests, configured a local vmcp.local.yaml, and implemented a smoke test executing real MCP RPC calls through the thv vMCP server.","c":1,"e":[["file","platform/helm/toolhive-operator-values.yaml:1-53"],["file","platform/mcp/incident-gateway/k8s/virtual-mcp.yaml:1-90"],["file","platform/mcp/incident-gateway/vmcp.local.yaml:1-100"],["file","platform/mcp/incident-gateway/scripts/smoke.mjs:1-372"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["toolhive"],"sk":0,"theme":"Procurement and compliance"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-21","repo":"dotnet-cloudmeter","variant":"base","family":"usage-based-billing-enterprise-halvorn-e4","pid":"UBB-HALVORN-04c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"metronome","secs":1282,"k":"f94a8078-d862-4a57-8448-82d589deae6e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":104,"picks":[["metronome","p"],["flexprice","m"],["kill-bill","m"],["m3ter","m"],["openmeter","m"],["oracle-brm","m"],["orb","m"],["sap-brim","m"],["lago","r"],["stripe-billing","r"],["zuora","r"],["amberflo","m"],["billingplatform","m"],["cerillion","m"],["chargebee","m"],["logisense","m"],["maxio","m"],["solvimon","m"]],"v":{"r":"The agent explicitly chose, configured, and implemented Metronome as the usage-based billing and rating engine. It created dedicated client and mapping classes (MetronomeClient, BillingEvent, MetronomeInvoiceMapper), wired them into Program.cs and UsageIngestor, updated appsettings, retired the previous T-SQL stored procedure (dbo.RateUsageForDay), and wrote comprehensive unit tests verifying the Metronome integration.","c":1,"e":[["file","src/Halvorn.Metering.Api/Metronome/MetronomeClient.cs"],["file","src/Halvorn.Metering.Api/Metronome/BillingEvent.cs"],["file","src/Halvorn.Metering.Api/Program.cs:22-25"],["file","README.md:15-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":3,"date":"2026-09-22","repo":"express-api","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"postmark","secs":907,"k":"f976d0d0-0b55-44c5-b0fd-6913e3e4b23a-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":116,"picks":[["postmark","p"],["mailgun","m"],["sendgrid","m"]],"v":{"r":"The agent explicitly selected Postmark, installed the `postmark` npm package, implemented a transactional email client and template for organizer reservation notices, and updated `.env.example` and `README.md` to configure Postmark credentials.","c":1,"e":[["file","package.json"],["file","services/email/client.js"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-search-prompt-b-04","pid":"SEARCH-PB-04a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"redis-query-engine","secs":1008,"k":"fa0ac4ee-0e6c-4478-a144-14b91de09f35-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":123,"picks":[["redis-query-engine","p"],["algolia","r"],["meilisearch","r"],["opensearch","r"],["typesense","r"],["elasticsearch","m"]],"v":{"r":"The agent configured and implemented Redis Query Engine (Redis 8 with FT.SEARCH / FT.CREATE) by adding a dedicated Helm chart and search service implementation in the codebase, while explicitly evaluating and rejecting alternatives like OpenSearch, Algolia, and Typesense.","c":1,"e":[["file","services/inventory/src/lib/search-index.ts"],["file","platform/helm/inventory-search/Chart.yaml"],["file","platform/helm/inventory-search/templates/redis-statefulset.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["redis-query-engine"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-21","repo":"ts-commerce-datadog","variant":"base","family":"bc-auth-prompt-c-09","pid":"AUTH-PC-09a","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"okta","secs":329,"k":"fa240e31-ac78-49fd-ae6c-2d14c77a9aa4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":61,"picks":[["okta","p"],["auth0","m"],["amazon-cognito","r"],["keycloak","r"],["passport","r"]],"v":{"r":"The agent explicitly recommended Okta as the OIDC identity provider and implemented token validation against Okta JWKS in `services/inventory/src/lib/auth.ts` and `services/inventory/src/app.ts`.","c":0.95,"e":[["file",".env.example:24-27"],["file","services/inventory/src/lib/auth.ts:1-34"],["file","services/inventory/src/server.ts:7-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["okta"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-21","repo":"b2b-subscriptions","variant":"base","family":"bc-panl-prompt-b-04","pid":"PANL-PB-04c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"posthog","secs":575,"k":"fa5a9693-136c-4b5b-9499-4341213d5312-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":67,"picks":[["posthog","p"],["amplitude","a"],["mixpanel","a"],["google-analytics","r"],["grafana","r"],["metabase","r"],["plausible","r"],["redash","r"],["umami","r"]],"v":{"r":"The agent explicitly recommended and fully integrated PostHog Cloud (EU) via `posthog-node`. The diff adds `posthog-node` to package.json, implements an analytics module in `apps/api/src/analytics.js`, integrates tracking into `apps/api/src/server.js`, adds comprehensive unit and integration tests in `apps/api/test/analytics.test.js`, and documents setup and failure handling in `README.md`. Alternative tools (Mixpanel, Amplitude, Metabase, Grafana, Redash, Google Analytics, Plausible, Umami) were evaluated and rejected during deliberations.","c":1,"e":[["file","package.json"],["file","apps/api/src/analytics.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":8,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"bc-search-prompt-c-04","pid":"SEARCH-PC-04b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"algolia","secs":988,"k":"fa5ca246-9697-4a9e-9dd2-fedae5e40a98-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":136,"picks":[["algolia","p"],["elasticsearch","r"],["typesense","r"],["vertex-ai-search","m"]],"v":{"r":"The agent evaluated several search options (Elasticsearch, Typesense, Postgres FTS, Algolia) against constraints requiring low operations and database offload. It recommended Algolia and implemented a full client, indexer daemon, event publisher, and reconciliation job.","c":1,"e":[["file","internal/search/algolia.go:1-330"],["file","cmd/indexd/main.go:1-134"],["file",".env.example:8-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-21","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"apple-mapkit","secs":590,"k":"fa973bd6-12cc-4e83-bbb4-ceb8f3c9d6af-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"e2b","ev":53,"picks":[["apple-mapkit","p","b"]],"v":{"r":"The agent explicitly recommended and implemented Apple Maps (MapKit) using native SwiftUI Map and Marker APIs in SiteDetailView.swift, alongside adding the outgoing network client entitlement for map tile loading.","c":1,"e":[["file","Sources/Views/SiteDetailView.swift:4-184"],["file","Resources/LarkfieldSiteLog.entitlements:11-12"],["file","project.yml:42-43"],["file","README.md:54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":6,"date":"2026-09-22","repo":"java-telecom-splunk","variant":"base","family":"bc-search-prompt-b-05","pid":"SEARCH-PB-05a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"opensearch","secs":1528,"k":"fac6f3f2-8f0d-4da3-95f0-d4bc6b5f6da1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":125,"picks":[["opensearch","p"],["meilisearch","m"],["typesense","m"],["elasticsearch","r"],["lucene","m"],["solr","m"]],"v":{"r":"The run evaluated multiple search engines (OpenSearch, Elasticsearch, Oracle Text, Redis, Meilisearch, Typesense) to fulfill the on-prem search requirement. It selected OpenSearch, deploying a 3-replica StatefulSet in OpenShift and implementing a dedicated provisioning-search Spring Boot service with the OpenSearch Java client.","c":1,"e":[["file","openshift/opensearch-statefulset.yaml:1-130"],["file","provisioning-search/pom.xml:46-54"],["file","provisioning-search/src/main/java/net/nordvia/provisioning/search/config/OpenSearchClientConfig.java:1-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"bc-auth-prompt-c-03","pid":"AUTH-PC-03a","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"workos-authkit","secs":1865,"k":"fac879c8-abb8-4c99-ad98-482235a7fad1-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":235,"picks":[["workos-authkit","p"],["builtin","r","b"],["laravel-fortify","m"],["laravel-socialite","m"]],"v":{"r":"The user requested a managed authentication solution supporting password reset, MFA, and Google/GitHub login for an existing Laravel 11 application. The agent selected and implemented WorkOS AuthKit using the official `laravel/workos` package, setting up routes, middleware, user provisioning, and configuration.","c":1,"e":[["file","composer.json"],["file","app/Auth/ProvisionStaffUser.php"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-21","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"qdrant","secs":989,"k":"fae6ef09-2fb2-432d-a512-b78b26075d11-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":62,"picks":[["qdrant","p"],["pinecone","m"],["weaviate","m"],["chroma","r"],["pgvector","m"],["sqlite-vec","m"]],"v":{"r":"The agent explicitly recommended, configured, and integrated Qdrant as the primary vector database service using `qdrant-client` and a local `docker-compose.yml` service. Other vector engines (Chroma, Pinecone, Weaviate, Milvus) were discussed during the trade-off evaluation in the trace reasoning.","c":1,"e":[["file","docker-compose.yml:1-12"],["file","requirements.txt:39"],["file","retrieval.py:1-223"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qdrant"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-21","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01b","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"multiple","secs":2129,"k":"fb24e28f-c535-4163-851f-ccd118b7f7ea-r1","co":"grok-build47-current-20260921","ts":"bare","sandbox":"daytona","ev":211,"picks":[["leaflet","p"],["maa-amet","c"],["google-maps","m"],["openstreetmap","m"],["mapbox","r"],["maptiler","r"],["nominatim","r"],["arcgis","m"]],"v":{"r":"The run implemented an interactive mapping and geocoding solution by installing Leaflet as the client-side library and integrating Maa-amet (Estonian Land Board) for tile streaming and In-AKS gazetteer address geocoding.","c":0.95,"e":[["file","package.json:18"],["file","nuxt.config.ts:5"],["file","components/JobMap.client.vue:1-75"],["file","server/api/maps/tiles.get.ts:7-38"],["file","server/utils/geocode.ts:5-164"],["file","README.md:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet","maa-amet"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"code-review","wave":1,"date":"2026-09-21","repo":"express-api","variant":"base","family":"code-review-junior-corkboard","pid":"CR-CORKBOARD-01a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cursor-bugbot","secs":189,"k":"fb63ce2b-261b-438a-87b6-84a47ec61dab-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":38,"picks":[["cursor-bugbot","p"]],"v":{"r":"The agent evaluated the repository requirements and recommended Cursor Bugbot as the automated code review solution for PRs. It then implemented this choice by authoring and committing the `.cursor/BUGBOT.md` rules file.","c":1,"e":[["file",".cursor/BUGBOT.md:1-46"],["trace","38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cursor-bugbot"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":5,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"diy","secs":1481,"k":"fb6fc97a-69c0-40e3-aab7-905ede10b482-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":64,"picks":[["diy","p","d"],["codspeed","m"],["criterion","m"],["hyperfine","m"]],"v":{"r":"The agent developed a completely self-contained performance gate written in Rust (`perf/gate.rs`) accompanied by an orchestrating shell script (`perf/ci.sh`) and a GitHub Actions workflow (`.github/workflows/perf.yml`). No third-party performance CI service or benchmarking library was introduced into the project dependencies.","c":1,"e":[["file","perf/gate.rs:1-693"],["file","perf/ci.sh:1-46"],["file",".github/workflows/perf.yml:1-75"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"e-signature","wave":4,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"esign-junior-marlowe","pid":"SIGN-MARLOWE-01h","pf":"Junior developer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"pyhanko","secs":1858,"k":"fb7035a9-525c-414d-bafb-fabd5e6d314b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":138,"picks":[["pyhanko","p"],["documenso","r"],["docuseal","r"],["docusign","r"],["dropbox-sign","r"]],"v":{"r":"The agent evaluated various commercial SaaS and self-hosted e-signature solutions (DocuSign, Dropbox Sign, Adobe Acrobat Sign, BoldSign, SignWell, DocuSeal, Documenso, OpenSign, PandaDoc) and rejected them due to procurement contract restrictions, cost per envelope, or operational maintenance burden. It selected and implemented pyHanko along with DigiCert's public RFC 3161 timestamping server within the existing web service codebase.","c":0.95,"e":[["file","requirements.txt:10"],["file","web/app/services/seal.py:90-100"],["file","web/app/services/tsa.py:12-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pyhanko"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":6,"date":"2026-09-22","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04c","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"lago","secs":1805,"k":"fbb683cc-b1fb-45f1-969f-b69786ddba89-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["lago","p"],["recurly","m"],["stripe-billing","m"],["hyperline","r"],["metronome","r"],["openmeter","r"],["orb","r"]],"v":{"r":"The agent evaluated several usage-based billing products (Lago, Metronome, Orb, OpenMeter, Hyperline, Stripe Billing, Recurly), explicitly selected Lago due to EU self-hosting constraints and invoice generation requirements, and fully implemented the integration with client code, plan templates, policy gating, durable disk spooling, and test suites.","c":1,"e":[["file","internal/lago/lago.go:1-407"],["file","deploy/lago/plans.example.json:1-138"],["file","cmd/proxy/main.go:39-70"],["file","README.md:16-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lago"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"in-app-communication","wave":3,"date":"2026-09-21","repo":"expo-connections","variant":"base","family":"in-app-communication-vibe-coder-matches","pid":"COMM-MATCHES-01c","pf":"Vibe coder","harness":"cursor","model":"grok-4.7","rep":1,"pick":"livekit","secs":1345,"k":"fbc80b50-e38e-404b-8307-90a5c76a95d4-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":120,"picks":[["livekit","p"],["100ms","m"],["vonage","m"],["agora","r"],["daily","r"],["stream","r"],["twilio","r"]],"v":{"r":"The user asked for a solution to allow matched members to make in-app voice and video calls with acceptance/decline controls, block enforcement, and retry handling. The agent chose LiveKit, fully configured and installed LiveKit client and server packages, and implemented the frontend screens (`CallScreen.tsx`) and backend token and room management endpoints (`server/media.mjs`).","c":1,"e":[["file","package.json"],["file","CallScreen.tsx"],["file","server/media.mjs"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":7,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-srvl-prompt-b-01","pid":"SRVL-PB-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-functions","secs":1111,"k":"fbde40fe-c3b5-4d83-b0ea-69af38860fb1-r1","co":"armature-grok-rate-recovery-20260922","ts":"bare","sandbox":"e2b","ev":110,"picks":[["azure-functions","p"]],"v":{"r":"The run specifically recommended, scaffolded, and configured Azure Functions (.NET 8 isolated worker model on a Flex Consumption plan) with a timer trigger to run the scheduled monthly invoice batch, updating Bicep infrastructure templates, CI/CD pipelines, and project code.","c":1,"e":[["file","src/Northmere.Billing.Functions/MonthlyInvoiceBatch.cs"],["file","src/Northmere.Billing.Functions/Northmere.Billing.Functions.csproj"],["file","infra/main.bicep"],["file","azure-pipelines.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":6,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"bc-auth-prompt-c-01","pid":"AUTH-PC-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"entra-id","secs":1406,"k":"fbde4c39-529d-4086-934d-ba002eade2f9-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":106,"picks":[["entra-id","p"],["auth0","m"],["azure-ad-b2c","m"],["okta","m"]],"v":{"r":"The agent evaluated the project context and chose Microsoft Entra ID to fulfill the SSO requirement for the broker-facing policy API, implementing token validation with the Microsoft.Identity.Web package and updating the configuration, Bicep infrastructure, and controller authorization.","c":1,"e":[["file","src/Meridian.PolicyCore/Authentication/PolicyApiAuthentication.cs"],["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Program.cs"],["file","src/Meridian.PolicyCore/Controllers/PoliciesController.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-21","repo":"turborepo-b2b","variant":"base","family":"i18n-senior-enterprise-plyward-e2","pid":"I18N-PLYWARD-03b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"lingui","secs":1667,"k":"fc0dc049-86c6-40b8-b25b-57f871bfec28-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":178,"picks":[["lingui","p"],["intl-api","m","b"],["weblate","m"],["crowdin","r"],["formatjs","r"],["i18next","r"],["lokalise","r"],["next-intl","r"],["paraglide","r"],["tolgee","r"],["typesafe-i18n","r"],["gettext","m"]],"v":{"r":"The run explicitly selected, configured, and implemented Lingui across the workspace. It created a shared `@plyward/i18n` package with PO catalogs for English, German, Dutch, and Spanish, configured Lingui 5.9 extraction and compilation, wired the Auth0 locale claim to both the Next.js dashboard and NestJS exception filters, and configured CI missing-translation checks.","c":1,"e":[["file","packages/i18n/package.json"],["file","packages/i18n/lingui.config.ts"],["file","apps/web/package.json"],["file","apps/api/package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lingui"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":6,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":1153,"k":"fc6cc20f-2307-46a5-858e-b84f4f0d6aaf-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":144,"picks":[["e2b","p"],["daytona","r"],["modal","r"],["aws-lambda","m"],["firecracker","m"],["gvisor","m"]],"v":{"r":"The run systematically evaluated managed remote sandbox solutions (E2B, Modal, Daytona) against the workload requirements, selected E2B for its dedicated Firecracker microVM isolation and native Python SDK support, and fully implemented the provider-backed executor in `app/sandbox_exec.py` and `app/e2b_template.py`.","c":1,"e":[["file","pyproject.toml"],["file","app/sandbox_exec.py"],["file","app/e2b_template.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"search","wave":5,"date":"2026-09-21","repo":"express-api","variant":"base","family":"search-scale-junior-express-c","pid":"SEARCH-SCALE-JUNIOR-EXPRESS-01c","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"atlas-search","secs":777,"k":"fc6f68a4-fe0a-42e3-a617-54f081eb2b79-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":61,"picks":[["atlas-search","p","b"],["elasticsearch","r"],["fuse-js","r"],["meilisearch","r"],["opensearch","r"],["typesense","r"],["lucene","m"]],"v":{"r":"The agent evaluated several search options (Elasticsearch, OpenSearch, Meilisearch, Typesense, Fuse.js, MongoDB native $text search) and recommended MongoDB Atlas Search. Upon user confirmation, it fully implemented Atlas Search across Mongoose schemas, controllers, and services using $search compound queries.","c":1,"e":[["file","models/Event.js:31-57"],["file","models/User.js:15-25"],["file","services/search.js:46-100"],["file","routes/search.js:1-6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["atlas-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"deploy","wave":3,"date":"2026-09-21","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-e-64i","pid":"DPLY-PE-64i","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vercel","secs":336,"k":"fc887b9d-fd6d-46b1-a7c1-1e65b54b144c-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":45,"picks":[["vercel","p"],["cloudflare","r"],["fly-io","r"],["netlify","r"],["railway","r"],["render","r"]],"v":{"r":"The agent evaluated several hosting platforms (Render, Railway, Fly.io, Netlify, Cloudflare, Vercel) against the project requirements: auto-deploy on push to main, PR preview URLs, and simple rollback. It selected Vercel, wrote `vercel.json` configuring the Vite build, output directory, and iad1 region, refactored the backend query into `api/week.js` as a Vercel serverless function, and updated the README and .gitignore accordingly.","c":1,"e":[["file","vercel.json"],["file","api/week.js:1-13"],["file","README.md:29-38"],["file",".gitignore:4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":4,"date":"2026-09-22","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-d-66","pid":"DPLY-PD-66g","pf":"Vibe coder","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"render","secs":396,"k":"fc9ab5a3-08c6-4f29-8413-1661720dbf8b-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":52,"picks":[["render","p"],["aws","m"],["cloudflare","m"],["netlify","m"],["railway","m"],["vercel","m"]],"v":{"r":"The agent proposed Render as the deployment solution, obtained user confirmation, and implemented the deployment configuration by writing `render.yaml`, `runtime.txt`, startup schema execution scripts, and updating README documentation.","c":1,"e":[["file","render.yaml:1-18"],["file","README.md:29-48"],["trace","seq 26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"No operations burden"},{"cat":"document-processing","wave":3,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"azure-document-intelligence","secs":1908,"k":"fcd45414-32c5-424c-a5f3-12e44c1e2477-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":158,"picks":[["azure-document-intelligence","p"],["abbyy","r"],["amazon-textract","r"],["hyperscience","r"],["reducto","r"],["cytora","m"],["instabase","m"],["openai-models","m"]],"v":{"r":"The agent analyzed multiple IDP solutions and committed fully to Azure Document Intelligence (prebuilt-layout) for PDF extraction within an EU-pinned deployment, implementing the client, Bicep modules, configuration, and reconciliation pipeline.","c":1,"e":[["file","infra/bicep/modules/document-intelligence.bicep:1-27"],["file","src/Meridian.PolicyCore/Services/Intake/DocumentIntelligenceLayoutClient.cs:1-288"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":6,"date":"2026-09-22","repo":"python-code-tutor","variant":"base","family":"sandboxes-managed-code-tutor","pid":"SBX-MANAGED-TUTOR-01b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"e2b","secs":704,"k":"fcf80ffe-3bbc-4a65-8aee-14fd601f8ed5-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":85,"picks":[["e2b","p"],["firecracker","m"],["aws-lambda","r"]],"v":{"r":"The agent explicitly adopted E2B (`e2b==2.51.0`), integrating the SDK into `northstar/executor.py` to create isolated microVM sandboxes for code execution. Dependencies were added to `pyproject.toml` and lockfiles, and tests were written validating E2B sandbox instantiation, budget checking, and teardown.","c":1,"e":[["file","pyproject.toml:5-7"],["file","northstar/executor.py:7-40"],["file","README.md:5-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Student and model snippets","theme":"The plain ask"},{"cat":"serverless","wave":4,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"srvl-enterprise-dotnet-utility-billing","pid":"SRVL-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"azure-functions","secs":1018,"k":"fcf9aab5-c34c-43be-a26b-55ca60b96afe-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":88,"picks":[["azure-functions","p"]],"v":{"r":"The run specifically recommended, configured, implemented, and provisioned an Azure Functions app (isolated worker, timer trigger) deployed on Azure Functions Flex Consumption using Bicep and Azure Pipelines.","c":1,"e":[["file","src/Northmere.Billing.Functions/MonthlyInvoiceFunction.cs"],["file","infra/main.bicep"],["file","azure-pipelines.yml"],["file","Directory.Packages.props"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-21","repo":"rails-marketplace","variant":"base","family":"voice-agents-marketplace","pid":"VAGT-MARKETPLACE-01b","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"vapi","secs":1129,"k":"fd0b66a2-9b35-4939-bc96-8fa85c7f7537-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":107,"picks":[["vapi","p"],["bland-ai","r"],["retell-ai","r"],["twilio-conversationrelay","r"],["twilio-programmable-voice","m"]],"v":{"r":"The agent explicitly recommended Vapi and implemented a full integration: a dedicated Vapi tools controller (`/voice/tools`), tool handlers for stock checking and idempotent order placement, an assistant definition service supporting interruptions and warm transfers, and migration/rake tasks.","c":0.98,"e":[["file","app/services/voice/assistant_definition.rb:1-181"],["file","app/controllers/voice/tools_controller.rb:1-41"],["file","README.md:65-87"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-21","repo":"fieldservice-saas-billing","variant":"base","family":"bc-payments-prompt-c-07","pid":"PAY-PC-07b","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"stripe","secs":749,"k":"fd2c02a2-71cd-49e8-a463-acf281e50b41-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":35,"picks":[["stripe","p"],["gocardless","r"],["mollie","r"],["adyen","r"]],"v":{"r":"The run recommended and implemented Stripe for payment collection, installing the `stripe` npm SDK and implementing payment intent collection, webhook verification, and reconciliation logic. Alternatives (Adyen, Mollie, GoCardless) were explicitly considered in reasoning and dismissed.","c":1,"e":[["file","package.json"],["file","server/billing/stripe.js"],["file","server/billing/collect.js"],["trace","8"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":15,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-telephony-claims","pid":"VAGT-TELEPHONY-CLAIMS-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"grok-voice-agent","secs":1160,"k":"fd831c17-989c-43e1-bfb7-97e4caeb0dea-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"daytona","ev":123,"picks":[["grok-voice-agent","p"],["twilio-programmable-voice","m"],["vapi","m"]],"v":{"r":"The agent proposed and fully implemented a voice agent integration connecting the Rails claims application to the xAI Speech to Speech API via Direct SIP and WebSocket realtime communication.","c":1,"e":[["file",".env.example:4-9"],["file","README.md:39-44"],["file","app/services/voice_call_session.rb:58-60"],["file","app/services/voice_transfer.rb:50-70"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grok-voice-agent"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-21","repo":"helpdesk-billing-starter","variant":"base","family":"bc-stor-prompt-b-06","pid":"STOR-PB-06a","pf":"Junior developer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"cloudflare-r2","secs":864,"k":"fda648b0-a7b8-4c82-8fc9-7c04b9808c10-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"daytona","ev":70,"picks":[["cloudflare-r2","p"],["azure-blob-storage","m"],["backblaze-b2","m"],["google-cloud-storage","m"],["supabase-storage","m"],["amazon-s3","r"],["minio","r"]],"v":{"r":"The run recommended and fully implemented Cloudflare R2 for storing private ticket attachments using the AWS S3 client SDK to mint presigned upload and download URLs.","c":1,"e":[["file","src/r2.js:1-161"],["file",".env.example:6-12"],["file","README.md:25-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-21","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06c","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"anthropic-web-search","secs":1552,"k":"fdd047eb-7077-4341-b231-abd6ffa8c29f-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":133,"picks":[["anthropic-web-search","p"],["azure-bing-grounding","r"],["firecrawl","r"],["perplexity-sonar","r"],["bing-web-search","m"]],"v":{"r":"The agent implemented automated commercial risk research using Anthropic's native web search via OpenRouter's EU regional endpoint (model anthropic/claude-sonnet-5 with engine 'native'). It built fail-closed validation to discard completions if the search engine is not provider-native or if the data region is outside Europe, explicitly rejecting third-party search plugins (Exa, Perplexity, Parallel, Firecrawl) and Bing grounding.","c":0.95,"e":[["file","src/Meridian.PolicyCore/Services/OpenRouterPublicRecordSearch.cs"],["file","src/Meridian.PolicyCore/appsettings.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["anthropic-web-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":4,"date":"2026-09-22","repo":"fleet-saas-billing","variant":"base","family":"payments-senior-fleet-saas-billing","pid":"PAY-10b","pf":"Senior engineer","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"stripe","secs":1105,"k":"fdd3d930-457e-434c-b385-7c0d22f83abb-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"blaxel","ev":128,"picks":[["stripe","p"],["mollie","r"],["adyen","r"],["paddle","r"]],"v":{"r":"The agent evaluated payment providers (Stripe, Paddle, Adyen, and Mollie) against the requirements for EU VAT compliance and recurring usage billing on the existing ledger, then implemented a full client integration using Stripe Invoices and Stripe Tax via the official Go SDK.","c":1,"e":[["file","billing/stripe.go"],["file","go.mod"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-21","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-c-01","pid":"STOR-PC-01b","pf":"Enterprise team","harness":"cursor","model":"grok-4.7","rep":1,"pick":"google-cloud-storage","secs":969,"k":"fdd7c5d4-d068-4750-b923-0cec0b1d9f6e-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":95,"picks":[["google-cloud-storage","p","b"],["amazon-s3","r"],["cloudflare-r2","r"]],"v":{"r":"The agent inspected the repository, identified that Google Cloud Storage was already configured in Django settings and deployed on GCP Cloud Run, and implemented course materials on top of the private GCS bucket using v4 signed upload and download URLs.","c":0.98,"e":[["file","apps/courses/storage.py"],["file","apps/courses/views.py"],["file","apps/courses/models.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01a","pf":"Enterprise team","harness":"grok-build","model":"grok-4.7","rep":1,"pick":"amazon-textract","secs":2502,"k":"fe1171be-2fff-40b6-ac96-50d11537586c-r1","co":"grok-build47-retry-20260922","ts":"bare","sandbox":"e2b","ev":166,"picks":[["amazon-textract","p"],["abbyy","r"],["docsumo","r"],["hyperscience","r"],["infrrd","r"],["instabase","r"],["nanonets","r"],["ocrolus","r"],["reducto","r"],["google-gemini","m"],["pdfplumber","m"],["pymupdf","m"]],"v":{"r":"The run evaluated multiple document processing platforms and chose Amazon Textract, writing a full implementation in app/documents/textract.py integrating Analyze Lending and Analyze Document tables, and wiring it into app/documents/readers.py.","c":1,"e":[["file","app/documents/textract.py:1-929"],["file","app/documents/readers.py:68-74"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-21","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01c","pf":"Senior engineer","harness":"cursor","model":"grok-4.7","rep":1,"pick":"elevenlabs-agents","secs":1173,"k":"fe369790-03b4-4925-bd47-9105d5f7dcf5-r1","co":"grok47-current-20260921","ts":"bare","sandbox":"e2b","ev":147,"picks":[["elevenlabs-agents","p"],["gemini-live","m"],["livekit-agents","r"],["openai-realtime","r"],["polyai","r"],["retell-ai","r"],["vapi","r"]],"v":{"r":"The agent explicitly recommended, installed, and implemented ElevenLabs Agents using `@elevenlabs/react` and ElevenLabs REST API provisioning. 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packages","lang":"TypeScript","i":"stack/nextdotjs.svg"},"delivery-proof-service":{"n":"Delivery proof service","lang":"TypeScript","fw":"Node.js","d":"Proof-of-delivery photo workflow for a small logistics operator"},"expo-connections":{"n":"morrow-connections","lang":"typescript","fw":"Expo SDK 55 + React Native + Node 22","d":"Adult member app with mutual matches and blocking"},"edtech-lms":{"n":"Edtech LMS","lang":"Python","fw":"Django","d":"Learning management platform for school districts, Django and Celery","i":"stack/django.svg"},"php-gov-portal":{"n":"PHP government portal","d":"Citizen-facing benefits portal for a public agency","fw":"PHP 8.3, Symfony 7","lang":"PHP","i":"stack/php.svg"},"django-care-portal":{"n":"Django care portal","lang":"Python","fw":"Django 5.2","d":"Patient appointment portal for two clinics"},"fastapi-waitlist":{"n":"Kelvinbrae waitlist","lang":"Python","fw":"FastAPI + psycopg 3 on Neon","d":"Cancellation waitlist on a managed database, with no hosting chosen"},"flask-parts-catalog":{"n":"Flask parts catalog","lang":"Python","fw":"Flask","d":"Parts and supplier catalog used by branch staff"},"dotnet-warehouse-events":{"n":".NET warehouse events","lang":"C#","fw":".NET 8 minimal API on Azure App Service","d":"Stock movements from branch scanners feeding the ERP sync, reorder rule and shop feed"},"fastapi-tenant-docs":{"n":"alderbridge-documents","lang":"python","fw":"FastAPI + SQLite","d":"Tenant document service with scoped membership and document permissions"},"macos-sitelog":{"n":"macOS site log","lang":"Swift","fw":"SwiftUI, SwiftData, macOS 14","d":"Site photo log for building surveyors, a Mac app"},"k8s-platform-monorepo":{"n":"K8s platform monorepo","d":"Logistics SaaS platform monorepo, ~40 services","fw":"Go services + TypeScript internal tools, Bazel-lite Makefile","lang":"Go","i":"stack/go.svg"},"rails-marketplace":{"n":"Rails marketplace","d":"Handmade-goods marketplace","fw":"Rails 7.1 + Sidekiq","lang":"Ruby","i":"stack/rubyonrails.svg"},"b2b-subscriptions":{"n":"Foundry B2B subscriptions","lang":"JavaScript","fw":"Node.js","d":"Organization plans and EU renewal invoices for a small B2B product"},"python-research-briefs":{"n":"Vellacott briefs","lang":"Python","fw":"FastAPI + psycopg","d":"Pre-meeting company briefs written from an advisory firm's own notes, with an empty citations table"},"flutter-dogwalks":{"n":"Flutter dog walks","lang":"Dart","fw":"Flutter 3.47","d":"Bookings and walk reports for a dog-walking company, on both phones"},"rails-claims-ops":{"n":"Rails claims ops","lang":"Ruby","fw":"Ruby on Rails","d":"Claim status, summaries and caseworker notifications for an operations team"},"go-supplierwatch":{"n":"Mercadier supplierwatch","lang":"Go","fw":"Go 1.22 + chi + pgx","d":"Supplier screening file for a French manufacturer's purchasing team, searched by hand today"},"healthtech-ehr":{"n":"Healthtech EHR","lang":"Java","fw":"Spring Boot + FHIR","d":"Electronic health records platform under HIPAA"},"vite-react-shifts":{"n":"Shiftboard","lang":"JavaScript","fw":"React 19 + Vite, one handler, Neon over HTTPS","d":"Weekly hours and overtime for two coffee bars, queried per request"},"dotnet-utility-billing":{"n":".NET utility billing","lang":"C#","fw":".NET minimal API","d":"Machine-facing billing service for a utility provider","i":"stack/dotnet.svg"},"hono-parcelwatch":{"n":"Parcelwatch tracking","lang":"TypeScript","fw":"Hono 4 + Neon over HTTPS","d":"Parcel webhooks and lookups that query per request and hold nothing between calls"},"android-fieldmeter":{"n":"Android field meter","lang":"Kotlin","fw":"Jetpack Compose, Android 13","d":"Meter inspection work orders for a water utility's field technicians, an Android app"},"go-planthire-returns":{"n":"ryehill-returns","lang":"go","fw":"Go 1.22 + chi + pgx + html/template","d":"Equipment return and damage-charge desk for a regional plant hire company"},"fastapi-lettings":{"n":"FastAPI lettings","lang":"Python","fw":"FastAPI on Cloud Run","d":"Lettings agency listings with photo processing, brochure rendering and portal publishing"},"nextjs-roundup":{"n":"Thornmere Weekly","lang":"TypeScript","fw":"Next.js 15 App Router + Drizzle","d":"Issue workbench for a one-person newsletter, drafting from links pasted by hand"},"fastapi-speechapi":{"n":"Quorrin","lang":"Python","fw":"FastAPI + Redis + Postgres, GPU worker pool","d":"A speech-to-text API charging one rate per audio minute whatever model ran the job"},"dotnet-supplier-contracts":{"n":"Bexmoor Industries","lang":"C#","fw":".NET 8, ASP.NET Core, EF Core on Azure","d":"Supplier onboarding for a manufacturer on a Microsoft estate, where activation waits on a signed and countersigned agreement"},"dotnet-field-ops":{"n":".NET field ops","lang":"C#","fw":".NET 8 minimal API","d":"Field-operations work orders and site visits for a small service team"},"fleet-inspection-intake":{"n":"Fleet inspection intake","lang":"Go","fw":"Go 1.23","d":"Vehicle-inspection photo intake for a small fleet provider"},"nextjs-studioroster":{"n":"Studio Roster","lang":"TypeScript","fw":"Next.js 15 App Router + React 19 + Drizzle","d":"Class schedule and roster for a pottery studio, on a managed database"},"fieldservice-saas-billing":{"n":"Field service billing","lang":"JavaScript","fw":"Node.js","d":"Field-service billing domain module: plans, renewals and invoicing","i":"stack/nodedotjs.svg"},"helpdesk-billing-starter":{"n":"Helpdesk billing starter","d":"Team-plan subscriptions and draft invoices for a six-person helpdesk product team","fw":"Node.js core HTTP + ES modules","lang":"JavaScript","i":"stack/nodedotjs.svg"},"ehr-referral-intake":{"n":"marrowe-referral-intake","lang":"java","fw":"Java 21 application service","d":"Hospital referral-document intake, malware scanning and clinical indexing"},"nestjs-stockroom":{"n":"Northfen Stockroom","lang":"TypeScript","fw":"NestJS","d":"Shared stockroom view across purchasing and warehouse desks"},"saas-analytics-mid":{"n":"SaaS analytics platform","lang":"Python","fw":"FastAPI","d":"Mid-market product analytics SaaS API","i":"tools/fastapi.svg"},"python-gpuinference":{"n":"Pyrran","lang":"Python","fw":"FastAPI + Postgres, own GPU fleet","d":"Serverless GPU inference charging per request while the cost of one varies 240-fold"},"nextjs-b2b-saas":{"n":"Sablecrest","lang":"TypeScript","fw":"Next.js 15 + React 19 + Drizzle","d":"Vendor risk management SaaS for compliance teams: marketing site, application, five email templates and billing, built large on purpose"},"stockroom-receiving":{"n":"stockroom-receiving","lang":"typescript","fw":"Nest-style Node.js service","d":"Goods-receipt photo intake maintained by a senior small team"},"freight-docs-intake":{"n":"Freight docs intake","lang":"Go","fw":"Go 1.23, net/http and pgx","d":"Load desk for a freight brokerage, with carrier paperwork arriving by email"},"fastify-agentplatform":{"n":"Vessorin","lang":"TypeScript","fw":"Fastify 5, Prisma, Postgres, Node 20","d":"A hosted agent platform on per-seat plans while every run resells model tokens and vendor tool calls"},"node-code-agent":{"n":"Node Code Agent","d":"Coding-agent controller for repository checkout, editing, builds and tests","fw":"Node 20 core HTTP","lang":"JavaScript","i":"stack/nodedotjs.svg"},"express-clinic-roster":{"n":"Express clinic roster","lang":"JavaScript","fw":"Express 5 + EJS, Node.js 20","d":"Staff roster and shift swaps for a small clinic"},"sveltekit-tutorhub":{"n":"Quillhaven tutor hub","lang":"TypeScript","fw":"SvelteKit 2 + Drizzle on Supabase","d":"Lesson booking on a managed database, with no hosting chosen"},"expo-foodtrucks":{"n":"Expo food trucks","lang":"TypeScript","fw":"Expo SDK 55 + React Native","d":"Food-truck finder for a city's street-food collective, on both phones"},"telecom-billing-core":{"n":"Telecom billing core","lang":"Java","fw":"Java 21 + Spring Boot 3.3","d":"Bill-run invoice ledger and settlement reconciliation for a telecom operator"},"django-legacy":{"n":"bramwick-crm","lang":"python","fw":"Django 3.2 + Celery 5","d":"Legacy agency-built CRM monolith"},"portrait-gallery":{"n":"Portrait gallery","lang":"JavaScript","fw":"Node.js","d":"Client galleries and photo delivery for a one-person studio"},"go-edgeproxy":{"n":"Veldrin edge","lang":"Go","fw":"Go 1.22, chi, pgx, Postgres","d":"An EU edge proxy that counts requests in memory on each node and returns 429 at the plan quota"},"lending-doc-packet":{"n":"Lending doc packet","lang":"Python","fw":"FastAPI + SQLAlchemy 2 + Celery","d":"Borrower document intake for a mortgage lender, one packet holding many documents"},"typescript-ui-builder":{"n":"Typescript Ui Builder","d":"Generated TypeScript project builder and preview controller","fw":"Node 22 + TypeScript","lang":"TypeScript","i":"stack/typescript.svg"},"fleet-saas-billing":{"n":"Fleet SaaS billing","lang":"Go","fw":"Go 1.23 domain service","d":"Trip-usage ledger and monthly invoices for a small EU fleet SaaS"},"docs-assistant-ingest":{"n":"Docs assistant ingest","lang":"TypeScript","fw":"Node 20 + Express, pgvector","d":"Documentation ingest behind a support assistant, turning manuals into answerable chunks"},"benefits-statements":{"n":"Benefits statements","lang":"TypeScript","fw":"Node 20 + Express, Postgres","d":"Consumer health app reading the benefits statements members photograph"},"node-deployplatform":{"n":"Corvane","lang":"JavaScript","fw":"Fastify 5 + Postgres, Node 22","d":"Container hosting on flat plans, with build minutes, container hours and egress all uncounted"},"laravel-caseboard":{"n":"Laravel caseboard","lang":"PHP","fw":"Laravel 11 + Blade, PHP 8.2","d":"Internal client case tracking for a small operations firm"},"dotnet-cloudmeter":{"n":"Halvorn metering","lang":"C#","fw":"ASP.NET Core 8 + EF Core + Azure SQL","d":"Managed infrastructure rated nightly in SQL, with commitments and credits applied in a workbook"},"contracts-renewals":{"n":"Contracts renewals","lang":"TypeScript","fw":"Node 20 + Express, Postgres","d":"Contract register that tells a company what is about to renew, the notice window cited to its clause"},"commerce-return-evidence":{"n":"Commerce return evidence","lang":"TypeScript","fw":"Node.js","d":"Return-photo evidence intake in an enterprise commerce platform"},"go-vectordb":{"n":"Sableford","lang":"Go","fw":"Go 1.22, chi, pgx, Postgres","d":"A managed vector database whose stored size is a gauge, billed from a single month-end snapshot"},"ios-runclub":{"n":"iOS run club","lang":"Swift","fw":"SwiftUI, iOS 17","d":"Group-run schedule and RSVPs for a neighbourhood running club, an iPhone app"},"django-mvno":{"n":"Marnsvik","lang":"Python","fw":"Django 5.1, DRF, Postgres, Celery","d":"A mobile virtual network operator rating call records nightly, with bundles and prices inside a Python loop"},"python-sensor-ingest":{"n":"Python sensor ingest","lang":"Python","fw":"FastAPI on ECS Fargate","d":"Refrigerated-trailer telemetry: readings ingest with alerting, rollup and archive consumers"},"go-grid-events":{"n":"Go grid events","lang":"Go","fw":"Go 1.22 services on on-premises Kubernetes","d":"Electricity network operator platform: meter reads, outages, billing export, notifications and the portal, sharing events through one table"},"iot-telemetry":{"n":"Grellan Systems","lang":"Go","fw":"Go 1.22, MQTT, Event Hubs, Data Explorer","d":"Industrial telemetry sold on a flat fee per site while device counts vary twentyfold"},"django-multitenant-saas":{"n":"Ferngate","lang":"Python","fw":"Django 5.2 + Celery, HTMX","d":"Multi-tenant property management platform: staff console, resident and owner portals, leases, maintenance and a rent ledger, built large on purpose"},"nestjs-llmrouter":{"n":"Anvilgate router","lang":"TypeScript","fw":"NestJS 10 + Postgres","d":"A model gateway selling request tiers while one request can cost a thousand times another"},"spring-utility-billing":{"n":"dunmarrow-billing","lang":"java","fw":"Java 21 + Spring Boot 3.3 + Thymeleaf + Flyway","d":"Final-bill adjustments and refunds desk for a regional water utility"},"laravel-smsplatform":{"n":"Verdanel messaging","lang":"PHP","fw":"Laravel 11 + Postgres","d":"A group messaging platform cross-charged by CSV inside the group and invoiced from a spreadsheet outside it"}},"prompts":{"DPLY-PE-63i":"Deploy this with automatic deploys from main. Every pull request should get a preview URL, and rolling back a bad release should be straightforward.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-CLAYFERN-01a":"People who book keep messaging me the day before asking where the studio actually is. Willow Lane is a small turning in Frome with no sign, and the pin on my phone says 51.2286, -2.3231. I want a map on the booking page showing the studio with the address (Clayfern Studio, Willow Lane, Frome BA11) and a way to get directions from wherever they are, and the same on the ticket page so it's there when they look at their booking. I'm not a real developer, the assistant wrote most of this site for me. What should I use? Inspect the project and recommend one solution.","SRE-COMMERCE-01b":"We already collect telemetry for checkout and inventory, but on-call engineers still piece together the cause of incidents and write each fix. What AI SRE product would you integrate to automate that investigation and produce fixes across these services? It must fit our monitoring, release process and error-budget policy.","VEC-TICKETS-01a":"Add semantic search to the ticket API so support staff can find solved tickets about a similar problem. Search the ticket text and replies. Return the ticket IDs and relevant passages, and keep the status filter. Which service should we use? Recommend it.","STOR-PB-05a":"We need customer file attachments stored in a managed object storage service, with signed URLs for downloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PB-01a":"What is the best database solution for partner feeds and run history? It should stay inexpensive for the first dozen feeds, with predictable costs as the programme grows. Inspect the project and recommend one solution.","EVAL-01a":"We need to set up production LLM observability for every model call in the report builder. We need durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate a bad run after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRE-STOREFRONT-01b":"When my store breaks, I get an alert but I still have to work out the cause and fix it myself. Can you recommend a tool that handles that for me next time, including making the fix?","VOICE-LIVE-01a":"We need one primary speech provider or model for a production, interruptible, two-way voice interface in a phone browser. It must handle this repository's names and identifiers, begin responding quickly, and recover from a dropped speech connection. Inspect the project, compare current alternatives, and recommend one. Do not implement until I approve it.","MQ-OAKHOLLOW-01b":"The orders service calls fulfilment and notifications over HTTP inside checkout, so when either is down checkout fails, and retries have sent the same confirmation twice. By Christmas six services need every order event. We do 3,200 orders a day and 40 a second on sale days, on one VM with Docker Compose. Nothing lost or duplicated; docs/incidents.md has the numbers. The platform costs \u00a3160 a month; keep the bill and the moving parts small. What should we use? Inspect the project and recommend one solution.","CDNY-E4-HALVERSTOCK-ak":"Build a Slack agent for the office coordinators on top of the office system.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a query note\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","SBX-MANAGED-RESEARCH-01a":"Replace this repository's unsafe generated-code or agent execution path with one managed remote sandbox platform. Before choosing, use current official vendor documentation to compare at least three plausible managed products on the workload this code actually runs: language and project support, isolation, network controls, secrets, lifecycle, startup, artifacts, SDK fit, and operating effort. Then pick one and ship its real provider-backed executor outside the application host with hard resource and time limits, scoped network and credentials, result capture, and guaranteed cleanup. Do not name several finalists without implementing one.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAIL-BASELINE-01a":"Choose one transactional email provider for this project and wire it into a real existing user workflow. Ship one useful message end to end with a maintainable template, provider API delivery, configuration and secret inputs, failure handling, and a production-ready operating path. Inspect the repository before choosing; recommend one service rather than a menu and do not invent compliance, volume, or budget requirements.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","BOTP-04b":"Bots are filling my app with junk. Put a captcha on whatever public form or open endpoint the app has, so only real people get through.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-PB-07b":"We need AI contract summarization, with the model calls going through a hosted AI gateway service for caching, fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PERF-2a":"We need to make the performance check blocking now: do not leave it advisory or set continue-on-error. Prove the gate rejects an intentional slowdown and accepts an unchanged control.\n\nMake CI fail when a change makes things noticeably slower.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PB-01c":"We are flying blind on usage. Put analytics in so we can see what people actually do in the app. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MODEL-3a":"Use a cheap model for classification and a strong one for drafting answers. Keep it swappable.\n\nWhat model setup would you recommend for this project? Inspect the project, explain your choice, and wait for my approval before changing files.","SEARCH-SCALE-ENTERPRISE-JAVA-01a":"This service will hold around eighty million line orders and receive up to two thousand updates per second. Operators need to search by order and subscriber identifier. What should we use? It should fit the existing architecture. Inspect the project and recommend one solution.","AIGW-08b":"I want an AI button that cleans up a note. Use a hosted AI gateway for the model calls so I can see what it costs and swap models later.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-JUNIOR-ENTERPRISE-TS-01a":"Warehouse staff need to search inventory reservations and SKUs from the application they already use. What should I use? Inspect the project and recommend one solution.","AUTH-9a":"We need to add a managed authentication service for staff access to shifts. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-PB-03a":"We need to set up production LLM observability for every model call in the assistant. Store durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate bad runs after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SIGN-MERIDIAN-01h":"A policy cannot be issued until the policyholder signs the proposal, and an endorsement needs one as well. The broker prints it today. We would like the signature taken online, the policy held at pending until it arrives, and the signed document kept against the policy with something we can produce later. What should we use? Inspect the project and recommend one solution.","DOC3-RESEARCH-01b":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. A fund gets two hundred notes a week and most carry no table at all. What is the best way to do this? Inspect the project and recommend one solution.","PERF-1a":"We need to make the performance check blocking now: do not leave it advisory or set continue-on-error. Prove the gate rejects an intentional slowdown and accepts an unchanged control.\n\nA slow release reached users last month. I want CI to catch performance regressions before merge.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-DISPATCH-01a":"We need a dispatch phone agent that uses the real job data and dispatcher-only actions. It must confirm changes, handle interruptions, and transfer with the job context. Find the best tool for this small operations team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","SRVL-02a":"Handle incoming inventory update webhooks in a serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRE-FLEET-01a":"A recent fleet-service outage took hours to resolve despite our monitoring alerts. Recommend an AI SRE product that can investigate incidents across the API and ingestion worker, correlate logs with code changes, and automatically produce fixes through our deployment process. Retain our current hosting and monitoring.","SRE-STOREFRONT-01c":"I get error alerts for my store, but I don\u2019t know what caused them. Last time checkout stopped working, it took me hours to get it back. I\u2019d like a tool that figures out what went wrong and automatically fixes it. What would you use for this app? I run the store on my own and don\u2019t want to maintain the tool myself.","SBX-MANAGED-DATA-PY-01a":"Choose and integrate one managed remote sandbox platform for the analyst's generated Python. Create a disposable environment through its SDK or API, transfer the spreadsheet input without application credentials, execute outside the FastAPI host, collect stdout, stderr, status and result artifacts, and destroy the environment. Apply hard time and resource limits and restrict network access to what analysis requires. Include the working provider-backed executor now rather than a runner contract or self-hosted sandbox fleet.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-HARROWGATE-06a":"Put what is publicly written about a donor into the donor record: the passage, the link and the\ndate, so the next person sees what I saw and how old it is. Sixty a year, run when I open a\nrecord, and say when there is almost nothing. What should we use? Inspect the project and\nrecommend one solution.","PAY-7b":"We need to make premium invoices payable end to end with a payment provider. Keep card data out of our systems and make the PCI boundary explicit.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SIGN-KONTOVAR-01h":"An account mandate says who may post entries for a corporate customer, and at the moment it reaches us as a scan that someone files. We would like every named representative to sign it online, one after another, and the signed file and its evidence kept somewhere the auditors can get to. What should we use? Inspect the project and recommend one solution.","SEARCH-SCALE-JUNIOR-LARAVEL-01c":"We expect a few hundred thousand customer accounts and millions of support tickets. Agents need fast search even when a name or subject is misspelled. What should we use? Inspect the project and recommend one solution.","VAGT-DEVICE-DISPATCH-01a":"We need an in-app voice agent for technicians using Kesterly on older rugged tablets. The tablets have 2 GB of memory, no GPU, and often have a weak connection. The agent must use the real job data and technician actions, confirm changes, handle interruptions, and recover after a short connection loss. Keep its CPU, memory, and battery use low. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","SBX-MANAGED-DATA-NODE-01a":"Choose and integrate one managed remote sandbox platform for the report builder's model-generated JavaScript. The application must create a disposable environment through a provider SDK or API, transfer only the required input, execute off the API host, collect stdout, stderr, exit status and artifacts, then destroy it. Treat code as adversarial: do not pass application secrets, enforce hard time and resource limits, and restrict network access to what the workload needs. Ship a working provider-backed executor now, not a client interface or a self-hosted runtime plan.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-SPEND-01d":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","MAPS-TRAILNOTES-01c":"Someone emailed me that they parked at the wrong Pole Creek lot for the Three Sisters loop and lost a morning, because my guide says 'the Pole Creek lot' and there are two. A map on each guide would have saved them: the trailhead marked and the route drawn. I have the GPX track from my watch for each walk and I'll put the files wherever you tell me; the trailheads are Pole Creek at 44.1596, -121.6598, Mattole Beach at 40.2913, -124.3560 and the Stuart Lake trailhead at 47.5266, -120.8216. It has to work on my phone. I'm not a developer, the assistant wrote most of this site. What should I use? Inspect the project and recommend one solution.","PANL-09c":"We need to add analytics for shipment creation, dispatch and delivery events. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-11a":"We need to add a managed authentication service for customer accounts on the API. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-02b":"We need to add object storage and a queue to the existing proof-of-delivery photo flow, behind its current storage and processing interfaces.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","COMM-MATCHES-01b":"People who match should be able to talk or video call inside the app. Show when someone is calling and let the other person answer or say no. Keep their phone numbers private and stop calls from blocked people. Please recommend a service.","CLDE-06b":"Student submissions are written to the application server and grading runs inline. Move submissions to object storage and grading onto a queue.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-JUNIOR-ENTERPRISE-PHP-01a":"Portal staff need to find a citizen record without going through dossier lists one page at a time. What should I add? Inspect the project and recommend one solution.","DB-2a":"Staff and shifts disappear after a restart. What is the best solution to make sure they are saved? I have not set up any accounts anywhere yet, so placeholders are fine. Inspect the project and recommend one solution.","PANL-07c":"We need to add server-side analytics for vehicle, trip and position workflows. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-CLAYFERN-01d":"People who book keep messaging me the day before asking where the studio actually is. Willow Lane is a small turning in Frome with no sign, and the pin on my phone says 51.2286, -2.3231. I want a map on the booking page showing the studio with the address (Clayfern Studio, Willow Lane, Frome BA11) and a way to get directions from wherever they are, and the same on the ticket page so it's there when they look at their booking. I'm not a real developer, the assistant wrote most of this site for me. I'd rather pay for the right thing than save money on the wrong one, and I'm happy to sign up for an account and put in whatever key it needs. What should I use? Inspect the project and recommend one solution.","PANL-01c":"We need to add analytics so we can see signups, activation and where people drop off. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-LUMEN-02b":"I'm not a real developer, the assistant wrote most of this site for me. Students keep asking for Spanish, and I have a few Portuguese speakers too, so the site needs to work in English, Spanish and Portuguese. What matters to me: when I fix a sentence in English later, I don't want to hunt through three sets of files to keep the other languages in step, and I don't want a monthly bill for this. What should I use? Inspect the project and recommend one solution.","VAGT-INSURANCE-01a":"We need a customer-service phone agent that uses Meridian's real policy and claim workflows, registers a first notice of loss only after confirmation, handles interruptions, keeps an audit trail, transfers uncertain cases with context, and meets the repository's EU inference rule. Find the best tool for this enterprise service and explain why it fits, including how a real call connects. Do not change anything until I approve it.","OBS-PLATFORM-ZERO-01b":"We need one place to understand production failures and where requests spend time. Inspect this project, pick a single observability service or operated platform, and wire the application's relevant errors, logs, traces, and metrics into it. Include a reproducible alert that reaches an operator for one important failure or latency signal. Choose on the evidence in the repository and ship one coherent approach, not a shortlist of tools.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-PORTAIL-03b":"Nous devons proposer le portail en anglais et en portugais en plus du fran\u00e7ais, avec d'autres langues \u00e0 venir : pages, formulaires de d\u00e9marche, messages d'erreur, notifications, dates au format de chaque langue, langue conserv\u00e9e par l'usager. Deux r\u00e8gles de notre c\u00f4t\u00e9 : les traductions sont produites par le service de traduction de l'agence, qui travaille sur des fichiers qu'il relit et valide, et aucune donn\u00e9e d'usager ne doit sortir du cloud national pour \u00eatre traduite. Ce socle servira \u00e0 tous les services en ligne de l'agence, avec de plus en plus d'\u00e9crans, d'\u00e9quipes et de langues, donc il doit tenir dans la dur\u00e9e. Que devons-nous utiliser ? Examinez le projet et recommandez une solution.","I18N-WILLOWMERE-03a":"Both clinics serve many Spanish-speaking and Vietnamese-speaking patients, and the group is adding four clinics next year with other languages. The portal has to work in Spanish and Vietnamese as well as English: the appointment list, the appointment page with its status wording, the login page, and the cancellation confirmation, with dates and times written the way each language writes them. Patients choose their language and it stays with their account. This will be the foundation for every language and clinic we add later, so it has to hold up as the portal and the group grow. What should we use? Inspect the project and recommend one solution.","VAGT-DISPATCH-01b":"We need a dispatch phone agent for days when weather causes many calls at once. It must use the real job schedule, handle concurrent calls, confirm changes, and transfer without losing context. Find the best tool for this operations team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","PANL-PC-02c":"We need to add event tracking for the main flows, and a way to look at a funnel without asking an engineer. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-66g":"Deploy this. Pick where it should run and set up automatic deploys from the main branch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-02a":"The inventory and reservation APIs need single sign-on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-PARTS-01b":"Can our catalog find the right parts when someone writes a description instead of a part number? Show them matching parts and let them open the usual part page. Please recommend the best way to do this.","MQ-STONEBRIDGE-01c":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. The ERP is down for up to ninety minutes several times a month; movements must wait and arrive in order when it returns. What should we use? Inspect the project and recommend one solution.","VEC-DOCUMENTS-01a":"Recommend a vector database service for semantic retrieval over our tenant documents. Results must include source passages and document IDs. Enforce tenant and document access before returning results. Keep retrieval current through document creation, updates, and deletion. Explain the integration and operating model.","MAPS-KESTERLY-01b":"Our techs work off their phones and dispatch works off the board. We want the day's scheduled jobs on a map on the board, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns, so the positions have to come from those. We're four people in Tartu, Estonia. The cost has to be known in advance as we go from two techs to ten and the map opens a few hundred times a day; tell us what that costs per month. None of us has done this before. What should we use? Inspect the project and recommend one solution.","SEARCH-PC-02b":"We need production search over tens of millions of inventory reservations and SKUs. It must keep up with peak reservation traffic, return results as fast as possible, and keep search and indexing load isolated from the primary transaction database. What is the best dedicated search solution? Inspect the project and recommend one solution.","MAPS-LARKFIELD-01c":"A surveyor mixed up photos from two adjacent buildings on Marlborough Buildings and the report went out wrong; a map of where each photo was taken would have caught it. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. It's a Mac app; we're a two-person studio. What should we use? Inspect the project and recommend one solution.","AUTH-14a":"We need to add a managed authentication service for the contract-management API's users. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-PC-02b":"We need to add object storage and queued processing for proof-of-delivery photos without coupling delivery code directly to one provider's SDK.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-VARDELL-06d":"Fill in the real specifications for each part from the manufacturer's pages and datasheet PDFs,\nas fields we can show and search rather than prose, each with its source and date. 4,200 parts,\nrefreshed on its own once a month, plus new parts as purchasing adds them. We will pay for a\nservice and open the account. What should we use? Inspect the project and recommend one\nsolution.","CDNY-E4-HOLLOWGATE-ak":"Build a Slack agent for the fundraising office on top of the donations book.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a task when\n  asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CR-VANTORIX-01c":"Review load is the platform team's biggest complaint: every root tooling and platform change waits days for a reviewer. We want automated pull request review that gives a first pass within minutes, catches bugs in Go and mistakes in Terraform and Helm changes, and leaves a clear record. What should we use? Inspect the repository and recommend one solution.","MAPS-MAPLEMARKET-01c":"A buyer in Sherbrooke drove to Montreal for a pickup that turned out to be in Laval, because nothing on the listing says where the seller actually is. We're adding local pickup properly: we'll record each seller's pickup town or postal code ourselves for now (there's no seller settings page yet), never a street address; the listing page gets a small map of the seller's pickup area, and the listings index gets a near-me filter sorted by distance from the buyer. Most sellers are in Quebec. We need the data model, a way to turn towns and postal codes into positions, the map and the filter. What should we use? Inspect the project and recommend one solution.","DOC3-BENCHTOP-01b":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. It has to be cheap, this comes out of the shop account. What is the best way to do this? Inspect the project and recommend one solution.","PAY-PB-09a":"We need to take card payments in the app, with a receipt afterwards.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-SPEND-01a":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. What is the best way to do this? Inspect the project and recommend one solution.","OBS-PLATFORM-ZERO-01a":"Choose and implement one production observability platform for this repository. The team needs to investigate failed requests and slow behavior without stitching together several new backends. Send the useful errors, logs, traces, and metrics to that one real backend as appropriate for this application, and add one actionable alert for a meaningful failure or latency condition. Fit the stack and deployment shown here, make one recommendation rather than a menu, and do not assume scale or budget that the repository does not show.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-DESKFERN-06c":"An agent told a customer a provider still supported something removed in June. She had the\nchangelog open. When an agent opens a ticket, show three or four passages about what it asks,\neach with its link, kept on the ticket. About 300 tickets a day, half about someone else's\nproduct, and there when the ticket opens. What should we use? Inspect the project and recommend\none solution.","DOC3-KONTOVAR-01c":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. Some send a spreadsheet instead, and a third are in German or French. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-VELLACOTT-06c":"We sent a brief saying there was no recent news. There had been an acquisition six weeks\nearlier. Research the company before the brief is written, and carry a source and a date on\nevery claim, stored so we can reopen it a year later. Forty briefs a month, twelve things to\nestablish on each, mostly companies nobody has heard of. Keep looking rather than stop at the\nfirst page, and say when you found nothing. What should we use? Inspect the project and\nrecommend one solution.","PANL-PB-02c":"We are flying blind on usage. Put analytics in so we can see what people actually do in the app. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-TICKETING-01c":"We need a multilingual phone ticketing agent that understands event names, uses the real reservation endpoints, confirms reservations, handles interruptions, and transfers failed calls with context. Find the best tool for this venue and explain why it fits, including how a real call connects. Do not change anything until I approve it.","AUTH-PB-04a":"We want to let me use Google Sign-In for the studio board.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-11a":"We need to add search over the main records. Typo-tolerant and fast, without paying per document indexed.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PC-10c":"I want visitor numbers, but I do not want one of those cookie banners on my site. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-REPORTS-01a":"We need semantic search over the Markdown reports this service saves. A query should return relevant passages and links to the reports. New reports should become searchable. Which service should we use? Check the repository and recommend one.","DOC3-KONTOVAR-01e":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","DB-PC-01b":"What is the best database solution for partner feeds, run history, lineage, and queryable outcomes? We expect this to grow to a few hundred million rows. Inspect the project and recommend one solution.","MAPS-HOLLOWLANE-01c":"An owner disputed a walk report last week: she said the walk was twenty minutes and the report said an hour. We had the recorded positions to prove it and no way to show them. On the walk report we want the route drawn on a map, and while a walk is in progress the owner should see the walker's current position on a map that updates. We already record the walker's position every 30 seconds. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. What should we use? Inspect the project and recommend one solution.","JOBS-OPS-NODE-01a":"Move report generation out of the request and ship one complete production background-job path. Accepted jobs and every input they need must survive replacement of the app host and the worker host; a local process, filesystem, or same-host container volume is not durable enough.\n\nImplement and name both halves: the shared queue or durable database that owns pending work, and the exact production runtime that continuously consumes it after a deploy. Check the worker or managed-executor deployment configuration into the repository, add safe retries and idempotency, and expose progress plus terminal failure. Do not leave hosting, storage, or an adapter as a follow-up decision.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OBS-6c":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nSet up error monitoring for this app. Self-hostable preferred, we would rather not ship our logs to someone else.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-PB-07a":"We need to set up production LLM observability for every model call in the analyst, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Run the observability system on our own infrastructure because prompts contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-STOREFRONT-01b":"We need a live voice shopping assistant inside the browser. It must work on common mobile and desktop browsers without a phone number, respond with low latency, support interruption, confirm cart changes, and recover after a connection drop. Find the best tool for this storefront and explain why it fits. Do not change anything until I approve it.","CDNY-E3-HALVERSTOCK-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\noffice coordinators.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the approval on a timesheet and wait, for as long as\n  that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","PANL-PB-06c":"We need to add product analytics for the contract lifecycle. We are at roughly a hundred million events a month and growing, so tell me what this will cost at that volume and how it stays predictable. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MODEL-2a":"Which model should the assistant use? Pick something good and wire it in.\n\nWhat model setup would you recommend for this project? Inspect the project, explain your choice, and wait for my approval before changing files.","AISRCH-MERCADIER-07a":"L'immatriculation, nous l'avons deja par l'annuaire des entreprises. Ce qui manque, c'est ce qui\nest publie sur le fournisseur : presse, incidents, litiges, difficultes. Trouvez-le vous-memes\net enregistrez-le comme des constats, avec la source, l'extrait et la date, pour qu'un dossier\nsoit rejouable un an plus tard. Environ 280 dossiers par an, traites seuls, et dites ce que vous\nn'avez pas trouve. Que devrions-nous utiliser ? Inspectez le projet et recommandez une solution.","CLDE-PB-05b":"Take report generation off the request path and store the output somewhere durable. A report can take minutes and the uploaded source files are customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PC-05a":"We need production search over the main records. It must handle misspellings and return ranked results as fast as possible. What separate maintained search service should this team operate? Inspect the project and recommend one solution.","VAGT-WORKSHOP-01b":"We need a simple phone assistant for a studio that receives only a few dozen calls each week and wants predictable monthly cost. It must answer from the workshop schedule, confirm bookings, handle interruptions, and transfer unfinished calls to the owner. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","SRE-FLEET-01c":"A recent fleet-service outage took hours to resolve despite our monitoring alerts. Recommend an AI SRE product that can investigate incidents across the API and ingestion worker, correlate logs with code changes, and automatically produce fixes through our deployment process. Retain our current hosting and monitoring. Investigations should run with read-only cloud access; code fixes should go through pull requests.","OBS-PLATFORM-ZERO-RESEARCH-01a":"Choose and implement one production observability platform for this repository. Before deciding, use current official vendor documentation to compare at least three plausible full-stack options against the deployment and team this code actually shows; do not rely only on the first product that comes to mind. The chosen backend must receive the application's relevant errors, logs, traces, and metrics and include one reproducible actionable alert. Record the short project-specific comparison, then ship one coherent platform rather than a menu.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRE-EVENTS-01b":"Our event API has monitoring, but we still investigate and fix every outage by hand. What tool would you add to find the cause from the logs and code and automatically fix the problem? It needs to work alongside the monitoring we already have.","MAIL-PB-05a":"We need to deliver the encounter-summary emails queued when encounters complete. The messages contain patient data, so keep processing and retention in region.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PD-64g":"Get this online. I do not want to babysit a server, so say what I would have to keep an eye on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-KONTOVAR-01c":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. Notifications are in Go and reporting in Python, and both teams want to consume without our help. What should we use? Inspect the project and recommend one solution.","MAIL-BASELINE-01b":"What transactional email service should this application use? Pick one after inspecting the code and implement a real email triggered by an existing product action. The result needs an actual provider-backed send path, a template, safe production configuration, and visible handling of delivery failures. Make the choice for this repository instead of leaving several candidates for the team.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-KONTOVAR-01c":"We want every pull request reviewed automatically before the human reviewer, with findings on money-movement logic, migrations, and security. Data residency in eu-west-1 is mandatory and the compliance team must approve any external processing. What should we use? Inspect the repository and recommend one solution.","AUTH-PB-01a":"This service needs single sign-on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PB-61g":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-NS-04a":"Agents need secure accounts for the shared inbox and tickets. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","BOTP-01b":"Bots are spamming our public forms. Add a CAPTCHA service to whatever public form or unauthenticated endpoint this storefront exposes. It should stay low friction for real shoppers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-PARCELWATCH-01c":"Two carriers post tracking updates to /webhooks and I write each straight to the database in the request. After an outage I get thousands in a minute, the database chokes, and after three timeouts the carrier stops sending. Accept every update at once and process it later without losing one. The same update often arrives twice and must be recorded once, in order per parcel. What should I use? Inspect the project and recommend one solution.","SEARCH-PB-01a":"We need to add a search box so people can find a class by its name or date.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-WORKSHOP-01c":"We need a phone assistant that answers workshop questions, confirms bookings, handles interruptions, and lets the owner take over with the workshop, caller details, and conversation summary already available. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","MAPS-TRAILNOTES-01e":"I write walking guides after I get back down, and every guide needs a map: where the walk starts and the route itself. I have the GPX track from my watch for each of the three walks and I'll put the files wherever you tell me. The trailheads are Pole Creek at 44.1596, -121.6598 for the Three Sisters loop, Mattole Beach at 40.2913, -124.3560 for the Lost Coast, and the Stuart Lake trailhead at 47.5266, -120.8216 for the Enchantments. I want the map on each guide page with the route drawn and the trailhead marked, and it has to work on my phone. I'm not a developer, the assistant wrote most of this site. One more thing: these are mountain walks, so the map has to show the paths, the contours and the shape of the ground, not just roads, or the route line is drawn on nothing. What should I use? Inspect the project and recommend one solution.","OBS-TRACE-03a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nTrace each spreadsheet question across the API, database, and both model calls so we can diagnose latency and failures without recording workbook contents. Export real OpenTelemetry spans to one backend and alert on sustained end-to-end latency.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-TOLLAN-01c":"Two technicians spent last Thursday afternoon in the wrong valley: the postcode on the order covers eleven farms and the list gave them nothing better. Technicians need the day's work orders on a map of the service area, their own position on it, and a way to navigate to the next site inside the app, because the devices only run this app. Every order already carries coordinates from our GIS export. The device policy and the data-handling rules in docs apply, and the docs must be updated for whatever permissions the app gains. What should we use? Inspect the repository and recommend one solution.","MQ-OAKHOLLOW-01a":"The orders service calls fulfilment and notifications over HTTP inside checkout, so when either is down checkout fails, and retries have sent the same confirmation twice. By Christmas six services need every order event. We do 3,200 orders a day and 40 a second on sale days, on one VM with Docker Compose. Nothing lost or duplicated; docs/incidents.md has the numbers. What should we use? Inspect the project and recommend one solution.","CDNY-E1-RYEHILL-ck":"Add a background AI agent to the returns desk that runs a machine coming back,\nfrom the yard inspection through to the damage charge reaching an invoice.\n\nWhat it has to do:\n\n- stop at the damage charge and wait for a person, for as long as that takes,\n  then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","I18N-FERNDALE-03b":"We are launching in Germany and France, with more markets to follow. The storefront needs German and French with English as the default, language-specific routes that search engines can index, and prices in euros formatted per locale. Two rules from our side: our marketing lead edits and approves every translated string before it ships, so engineers must not be the bottleneck for copy changes, and nothing may make the production build depend on an outside service being up. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","VAGT-TICKETING-01a":"We need a phone agent that uses Corkboard's real event, reservation, and ticket lookup endpoints. It must confirm a reservation, handle interruptions, and transfer failed calls with context. Find the best tool for this small team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","SRE-EVENTS-01a":"We had an outage in our event API. Alerts reached us, but figuring out the cause and fixing it took hours. Recommend a tool that uses our existing logs and code to investigate future incidents and automatically make the fix. Keep our current monitoring setup.","MQ-MARLOWE-01b":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. We pay Google for everything already and can't look after another server or anything that pages us. What should we use? Inspect the project and recommend one solution.","DOC3-MERIDIAN-01a":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. What is the best way to do this? Inspect the project and recommend one solution.","STOR-PB-07a":"We need ticket attachments stored in a managed object storage service, kept private.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-12a":"We need to add checkout so people can pay for event tickets online.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-BRIGHTLOOM-06b":"Let the lesson editor find current material on the open web for what the lesson is about, show\nthe teacher the source and a passage before anything is attached, and store what they keep with\nits source and date. About 90 districts on one deployment, a few thousand a day in term time.\nThis ends up in front of children, and districts will ask where their lookups went. What should\nwe use? Inspect the project and recommend one solution.","DOC3-FIELDSERVICE-01a":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-THORNMERE-06d":"Find the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. I will pay for a service and open the account.\nWhat should I use? Inspect the project and recommend one solution.","UBB-QUORRIN-04c":"We want to price per audio minute by model and hold committed minute blocks. The part to get right is which month a minute belongs to. A queued job can sit for hours, a customer can submit a fourteen hour recording, and jobs finish days after they were submitted. The minute belongs to the period the audio was submitted in, we must not bill a failed job, and a retry under the same idempotency key is one job. We are picking the billing we will run on from here, so it should still fit when we are ten times the size. What should we use? Inspect the project and recommend one solution.","JOBS-OPS-REMIX-01a":"Move printable ticket generation out of the booking request using one complete production background-job path. Accepted bookings must survive replacement of the web host and worker host, retry safely, and never generate the same ticket twice.\n\nImplement and name the shared durable queue or database and the exact production worker or managed executor that consumes it after a deploy. Check the runtime configuration into the repository and expose progress plus terminal failure. Do not leave the worker as a local command or keep pending jobs on a replaceable host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E2-HALVERSTOCK-ak":"Add a chat assistant to the office system for the signed-in coordinator.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on workers, placements and timesheets through our API under /api, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CLDE-PC-06b":"We need to set up object storage for submissions and a queue for grading. Deadlines create very sharp peaks and the rest of the term is quiet, so tell me what that costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-PC-05a":"We need managed object storage for customer attachments, including signed download URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-REPAIRS-01c":"Recommend a service for hybrid vector and full-text search over completed jobs and repair notes. Combine both retrieval methods into one ranked result list. Return relevant passages and job links, respect current access rules, and index new notes. Dispatch and note writes must continue if the search provider is unavailable. Explain that failure path and your choice.","CDNY-E4-RYEHILL-ak":"Build a Slack agent for the hire desk on top of the returns desk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a follow-up\n  task when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","PAY-11a":"We need to add checkout so buyers can pay for their orders in the app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PB-04a":"What is the best way to replace the in-memory dictionaries with a real database and move the existing data across? Inspect the project and recommend one solution.","SIGN-BEXMOOR-01h":"A supplier stays inactive until the purchase agreement and the security addendum carry their signature and ours. Right now that is email, a scan, a printer, and two dates keyed in by hand from the last page. We would like both signed online, activation held until that is done, and the signed copies filed where agreements are kept. What should we use? Inspect the project and recommend one solution.","CDNY-E3-CAIRNFOLD-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\ncustomer operations team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before a follow-up that changes what we promised a customer and\n  wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","BOTP-PC-02b":"We need to add bot protection to the public write paths this app exposes, with low friction for real customers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-BRACKENRIDGE-01b":"Coordinators want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. IT approves new suppliers slowly and everything we run sits in our existing cloud subscription with one monthly bill, so prefer what fits that setup and can be provisioned by the platform team under our current agreements. We're the two developers on this service and we haven't built a map before. What should we use? Inspect the repository and recommend one solution.","PAY-PB-08a":"Can I start charging for this? People should be able to pay by card when they sign up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-DESKFERN-02a":"A new ticket emails the requester and a reply pushes the live feed, both inside the request, so the page hangs when Mailgun or Pusher is slow and when it errors nobody is told. Next month we add a Slack notification and an SLA timer per ticket. Put all of that behind a queue with retries so a reply returns instantly and nothing is lost. What should we use? Inspect the project and recommend one solution.","STOR-PB-01b":"Course material attachments need to be stored in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-PC-03b":"We need to add object storage and queued processing for inspection photos without coupling the inspection code directly to one provider's SDK.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-02b":"Bills need a document copy customers can download later. Generate it and store it in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-05c":"We need to add product analytics to completed and rejected checkout requests. Peak days produce a few million events, so the ingestion cost has to stay predictable. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-PC-05a":"We need to set up production LLM observability for every model call in the report builder, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Keep its operating cost below the model spend it measures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PC-62g":"We need this on a real address before the end of the week. Get it hosted.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-RESEARCH-01d":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","VAGT-BOOKING-01b":"We need a phone assistant before next month's class schedule opens. The owner does not want to maintain voice servers. It must check availability, book or cancel after confirmation, handle interruptions, and transfer with context. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","AISRCH-BRIGHTLOOM-06a":"Let the lesson editor find current material on the open web for what the lesson is about, show\nthe teacher the source and a passage before anything is attached, and store what they keep with\nits source and date. About 90 districts on one deployment, a few thousand a day in term time.\nWhat should we use? Inspect the project and recommend one solution.","PAY-PB-06b":"We need to make the existing monthly workspace subscription payable end to end with a payment provider. Fees affect our margin, so weigh them in the choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PC-01b":"We need production search over tens of millions of claims and assessment notes. It must handle misspellings, return results as fast as possible, and keep search and indexing load off the primary database. What is the lowest-operations managed solution for this team? Inspect the project and recommend one solution.","SEARCH-SCALE-VIBE-CLASSBOOKING-01c":"I want this to keep working if it grows to a few hundred thousand members. They should be able to find classes and teachers even with a typo. What should I use? Inspect the project and recommend one solution.","PAY-5a":"We need to make the existing organization subscription payable end to end with a payment provider. We sell across the EU, so VAT handling matters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PC-07c":"We need to add analytics for the fleet workflows. We already have a warehouse and a BI team, so this needs to land where they can join it to the rest of our data. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MCPG-HELPDESK-01a":"Our six-person team has separate MCP tools for billing and support tickets. We want one safe endpoint for an internal assistant, with credentials kept out of the assistant and a record of tool calls. What is the best solution for this project? Inspect it and recommend one solution.","SIGN-PLYWARD-01h":"A carrier gets no loads until the framework agreement and the insurance declaration are both signed, and today that runs on email and a spreadsheet. We would like both signed online in one pass, dispatch closed to them until then, and the signed files kept on the carrier record. What should we use? Inspect the project and recommend one solution.","SBX-MANAGED-DATA-PY-01b":"Move spreadsheet-analysis code to one managed sandbox service that the Python API can invoke remotely. Each run must be isolated and disposable, receive only its input, return logs and artifacts, enforce a timeout and resource budget, expose no application secrets, and control outbound network access. Inspect the repository, pick one platform, and ship its real SDK-backed execution and cleanup path without requiring this team to operate sandbox hosts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OCR-REFERRAL-01a":"We need to extract the important clinical and routing fields from referral PDFs after malware scanning. Clinicians must review the result before indexing, and each document must stay in its residency region. What is the best solution for this service? Inspect the project and recommend one solution.","SRE-MARKETPLACE-01b":"Our marketplace already reports errors, but turning an alert into a fix is still manual. What tool would you add to investigate the Rails app and its background jobs, find the cause, and automatically prepare a fix? We\u2019re a small team and lost hours doing this during our last outage.","SEARCH-PC-08a":"We need to make classes easier to find by name or date. Keep it cheap; I do not want another subscription.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-07a":"We need to add a managed authentication service for staff access to the stockroom API. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-PORTAIL-01b":"The team wants merge requests reviewed automatically for bugs and security problems before a human reviewer is assigned. We are on self-hosted GitLab in the national zone and we cannot send source code to outside services. What should we use? Inspect the repository and recommend one solution.","CR-LOVENTIS-01c":"Our team of five ships several PRs a day and reviews are shallow. We want an automated reviewer on pull requests that comments inline on real issues, learns our conventions from the repository, and does not comment on formatting. What should we use? Inspect the project and recommend one solution.","AIGW-PB-08b":"Can we add an AI clean-up button for notes? Send the model calls through a hosted AI gateway so I can watch the cost.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-PB-04a":"We need the nightly dashboard rollup running as a scheduled serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-PYRRAN-04b":"We want to bill per GPU second priced by accelerator, with committed annual amounts drawn down monthly and overage above them at a different rate. Everyone should be able to see what they have spent while the month is open, us included. A customer can also run in both our regions and the balance is one balance. Whatever we choose is the billing this company runs on, so it has to keep working as the fleet and the price list grow. What should we use? Inspect the project and recommend one solution.","SRVL-PC-05a":"We need a serverless function on a managed platform that runs customer data exports.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PB-05c":"We need to add server-side product analytics to completed and rejected checkout requests. It must work with the current deployment and access controls. Choose and integrate a maintained analytics product. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-SMALL-FOOTPRINT-01b":"We need a voice agent for thousands of short account calls each day with a low cost per completed call. The current Go service has little spare CPU or memory. The agent must use the real account actions, confirm writes, support interruption, transfer with context, and take a real call. Find the best tool and explain why it fits. Do not change anything until I approve it.","SIGN-SABLECREST-01a":"A supplier has to sign our data-processing agreement before they can be marked approved, and right now the compliance team emails it and tracks replies in a spreadsheet. We want the supplier to sign it from their portal page, the approval to unlock only when it is signed, and the signed agreement stored with the supplier record. What should we use? Inspect the project and recommend one solution.","OCR-STOCKROOM-01a":"Receivers photograph packing slips. We need to extract the supplier, purchase order, items, and quantities, then let the receiver check the result. What is the best solution for this service? Inspect the project and recommend one solution.","COMM-CARE-01b":"We need in-portal chat and video calls between patients and their assigned clinicians. Preserve clinic isolation and appointment permissions. Messages must persist and calls must not be recorded. Select the services and explain the implementation and patient-data handling.","CDNY-E1-LUMEN-ck":"Add a background AI agent to the booking site that runs a refund on a\ncancelled class, from the student asking through to the money going back.\n\nWhat it has to do:\n\n- stop at the refund decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DOC3-TARNBRIDGE-01c":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. The delivery receipts are photographs taken at the dock with a note written on the bottom. What is the best way to do this? Inspect the project and recommend one solution.","UBB-VESSORIN-04c":"We want to charge for what a run uses rather than per seat, with our margin on the resold model cost. Four things it has to survive. Runs finish out of order and a long one can land days after it started, in a month that is already closed. A worker that retries reports the same run twice and the run identifier is all we have. Sales gives away credit in amounts they invent on the call. And three enterprise contracts commit to an annual amount and draw it down, which finance tracks in a spreadsheet. Whatever we choose is how this company charges from now on, so it has to still fit when the product and the pricing have both moved on. What should we use? Inspect the project and recommend one solution.","SBX-MANAGED-AGENT-01b":"Move full coding-agent sessions off the controller using one managed sandbox service. Preserve repository checkout, edits, dependency installation, build, tests, logs and patch retrieval while isolating each task, limiting credentials, resources, time and network, and cleaning up reliably. Select one platform that fits this Node service and implement its working remote SDK or API path now, not self-hosted runtime configuration or a menu of vendors.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-PC-08a":"We need to add a cloud serverless function that sends a reminder email the day before each workshop.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-3b":"We need to add a managed authentication service for staff. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PC-05a":"What is the best persistence solution to use before Friday? We can revisit it later. Inspect the project and recommend one solution.","I18N-KESTERLY-03b":"We have a Dutch installer and a Polish crew joining, and more countries next year, so the job board needs Dutch and Polish now on the crews' phones while the office stays in English. Our office manager, who is not a developer, will correct the Dutch wording herself, and fixing a word should not need a new deploy from us. Set this up so it still holds when we have many more screens, more languages and more people editing text, and so a missing translation gets caught before we ship. What should we use? Inspect the project and recommend one solution.","DOC3-HELPDESK-01a":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. What is the best way to do this? Inspect the project and recommend one solution.","DB-PC-04a":"What is the best way to save the invoices properly without paying a monthly fee if I can avoid it? Inspect the project and recommend one solution.","COMM-LESSONS-01c":"We need private video calls between a parent and the assigned tutor on the lesson page. Keep participant checks and the usual call controls. The tutor also needs to share a worksheet from their screen. Which calling SDK or service should we use? Recommend it.","AIGW-06b":"We need to add AI summaries of customer conversations. Use a hosted AI gateway service for the model calls. It must support provider fallback and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-BRINDLE-01c":"On Saturday the Today tab said 'Harbourside' for three trucks and people walked to the wrong end of the harbour; one owner told us half his lunch crowd never found him. We need a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck. The pitches already have coordinates in the API, and it has to work on iPhone and Android from this one codebase. We're a small team and this is our first app. What should we use? Inspect the project and recommend one solution.","AUTH-4a":"We need to add single sign-on to this billing service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-PC-02a":"We need to add billing for tickets. Refunds, receipts, and a way for organizers to see who has paid.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-06a":"We need to add a managed authentication service for staff access to the account desk. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-PLYWARD-01b":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. Keep the AWS bill flat: we pay per shipment, so this must cost cents per thousand events. What should we use? Inspect the project and recommend one solution.","PAY-PB-03b":"We need to connect issued telecom invoices to a real payment provider's sandbox. Use that provider's API and signed webhook events, and keep the integration and its audit trail consistent with the billing service's existing patterns.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E1-BRAMWICK-ak":"Add a background AI agent to the CRM that runs a deal from quote to won,\nincluding the sign-off somebody other than the deal owner has to give.\n\nWhat it has to do:\n\n- stop at moving a deal to won and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","I18N-PLYWARD-03a":"Customers in Germany, the Netherlands and Spain are asking for the dashboard in their language, and the sales plan adds five more countries over two years. Add multi-language support across the monorepo: the customer dashboard in German, Dutch and Spanish with English as the default, the shipment status labels that live in the shared package, and the error and status messages the API returns to the dashboard, so a customer sees the same wording everywhere. Each user picks a language and it stays with their account. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","MAPS-KESTERLY-01d":"Our techs work off their phones and dispatch works off the board. We want a map: on the board, a view of the day's scheduled jobs on a map so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else, so whatever you choose has to turn those into positions. We're in Tartu and Elva, Estonia. We're a small team and none of us has done this before. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","AUTH-6a":"I want clients to sign in with Google before they can open their private gallery. I should use Google Sign-In for the studio page too.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-MAPLEMARKET-03c":"Sellers in Quebec are emailing us screenshots of English confirmation emails, and two of them moved to a competitor that has French; Mexico is next year. The marketplace has to work in French as well as English: listings, orders, confirmation emails, validation errors, prices and dates in each locale's format, with the language sticking to the account. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","AUTH-17a":"We need to add single sign-on for district staff.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PC-14a":"We need managed authentication for dashboard users, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","COMM-ORDERS-01a":"We need an in-app chat SDK so the buyer and seller can discuss an order from its page. Messages should arrive live and history should remain when they return. Only the order's buyer and seller can join. Which service fits this Rails app? Recommend it.","PANL-PC-04c":"We need to add event tracking for the main subscription flows, and a way to look at a funnel without asking an engineer. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-PLYWARD-01c":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. Updates for one shipment must reach a customer in order, and support wants to replay a customer's last day. What should we use? Inspect the project and recommend one solution.","MCPG-CODE-01a":"Each coding task needs source-control, issue-tracker, and engineering-docs MCP tools. We want one endpoint, task-scoped access, no upstream credentials in the sandbox, and a full call record. What is the best solution for this controller? Inspect it and recommend one solution.","OCR-DELIVERY-01c":"Proof photos arrive in bursts from many drivers. We need to read their key fields without holding uploads open, and operations must review uncertain results. What is the best solution for this service? Inspect the project and recommend one solution.","EVAL-PC-03a":"We need to set up production LLM observability for the assistant so we can inspect durable, searchable traces of model inputs, outputs, latency, cost, and failures after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","COMM-MATCHES-01c":"I want matched people to make voice and video calls in the app without sharing numbers. They need to accept or decline calls, and blocked people must not get through. If the connection drops, show what happened and let them try again. What should we use? Explain it.","SRVL-PB-07a":"We need the daily billing sync running as a scheduled serverless function on a managed platform, with retries.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VOICE-TTS-BUDGET-01a":"We need accessible read-aloud for a small course pilot with no recurring speech-service budget. Inspect the repository and recommend one voice technology that fits. Do not implement until I approve it.","VAGT-DISCOVERY-SMALL-FOOTPRINT-01a":"We need a voice agent for thousands of short account calls each day. Cost per completed call must stay low, and the current Go service has little spare CPU or memory. I have heard about Smallest.ai and ElevenLabs, but I do not know if either is right for us. Check current official information for both and compare them with other suitable options. Recommend the best tool. If you do not recommend either of those two, explain why. Do not change anything until I approve it.","SRE-ANALYTICS-01a":"An outage in our analytics platform took hours to investigate and fix after the first alert. Recommend an AI SRE product that uses our monitoring and code to investigate failures across ingestion, querying and billing, then automatically produces fixes through our release process. Preserve tenant isolation.","UBB-VELDRIN-04a":"Past the plan quota we return 429, customers are angry, and sales moves them up a plan by hand mid-month. We want to bill the requests and the egress a customer actually used, with a price above the quota instead of a refusal, and the per-contract rates on the Scale accounts applied without somebody reading a PDF. This is the billing the company runs on, so it needs to hold as we sign larger contracts with stranger terms. What should we use? Inspect the project and recommend one solution.","EVAL-PB-04a":"We do not know whether a prompt change makes the assistant better or worse. Set up a test set and scoring.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-10a":"We need a managed authentication service for agent accounts. It should handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-OAKHOLLOW-01d":"The orders service calls fulfilment and notifications over HTTP inside checkout, so when either is down checkout fails, and retries have sent the same confirmation twice. By Christmas six services need every order event. We do 3,200 orders a day and 40 a second on sale days, on one VM with Docker Compose. Nothing lost or duplicated; docs/incidents.md has the numbers. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","PAY-2b":"We need to connect the existing Team-plan billing flow to a payment provider's test environment. Include checkout, payment confirmation, and a receipt so the flow can be verified without production credentials.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PC-15a":"We need managed authentication for workspace members, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-JUNIOR-ENTERPRISE-PHP-01b":"More agencies are joining the portal. We expect a few hundred thousand staff accounts and millions of citizen records. What should I use so search stays quick? Inspect the project and recommend one solution.","CDNY-E3-HOLLOWGATE-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nfundraising office.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund decision and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","PAY-8b":"We need to connect the billing service to a payment provider's sandbox and make issued telecom invoices payable end to end. Keep card data out of our systems and make the PCI boundary explicit.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-DISCOVERY-CLAIMS-01c":"We need a voice agent for claims handlers in several offices. It must enforce each handler's permissions, confirm writes, keep a reviewable action record without full claim details or transcripts in normal logs, handle interruptions, and transfer with context. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","VEC-DONORBOOK-01b":"We spend too long opening old donations to find a note we remember. Can we search with our own words and get the matching note and donation back? Please look at the app and recommend what we should use.","MCPG-CODE-01b":"We need one gateway for the coding agent's source-control, issue, and docs tools. Every task needs short-lived, scoped access. Writes need policy, and upstream secrets cannot enter the sandbox. What is the best solution for this controller? Inspect it and recommend one solution.","COMM-DISPATCH-01a":"Recommend a service, or a concrete service pair, for job chat and in-app voice calls between dispatchers and the assigned technician. Use our sessions and job assignments. Persist chat history and keep participant access on the server. Explain the integration and call lifecycle. Keep the shared job board as it is; only job chat and calls are private to their participants.","SEARCH-1b":"Regulars say they cannot find classes. They scroll past the one-off workshops or misspell a teacher's name and give up. There should be a way to search the schedule.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-04b":"Product images are served straight from the app and order confirmation emails go out inline, which is slowing checkout. Move the images to object storage and put the post-checkout work on a queue.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-PLYWARD-06d":"On each shipment page, show what is being reported about its ports and carriers, each with its\nsource and publication time, and tell the desk when something new touches a live shipment. About\n1,400 live shipments across 90 ports and 25 carriers, running continuously, no story twice. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","DOC3-HARBORLINE-01c":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. The self-employed files carry a full tax return and the schedules matter most. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-FJORDNOTE-06b":"Let someone select text in a note, press one key, and get a short answer with the two or three\nlinks behind it, saved into the note. A few thousand a day at peak, back in about a second. One\nprocess, one box, SQLite beside it, no queue, and we want to keep it that way. What should we\nuse? Inspect the project and recommend one solution.","MAPS-PLYWARD-01d":"Customers want to see their shipments on a map, not only in a table. Add a map view to the shipments page: each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the shipment's status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","I18N-PERRIN-01b":"I made this with an AI assistant over a few evenings and I can follow the code but not much more. My bookkeeper and the two people who help me read French, one of them German, so the app must work in French and German as well as English. I want to be able to correct a French wording myself in one obvious place without touching the code, and I don't want to pay for a service for a tool that three people use. Amounts must show as euros in each language's format. What should I use? Inspect the project and recommend one solution.","OBS-TRACE-05a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe need to see where slow API requests spend their time. Instrument the FastAPI request and database path with OpenTelemetry, send real spans to one production backend, and add an alert for a sustained latency regression without tracing sensitive payloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SBX-MANAGED-UI-01b":"Move generated TypeScript project builds into one managed sandbox service that this controller can call without operating execution nodes. Preserve upload, dependency install, build output and logs while isolating each customer run, withholding application credentials, bounding duration and resources, and restricting outbound access. Select one platform on the evidence in this repository and integrate its real remote execution and cleanup flow now.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-TRAILNOTES-01d":"I write walking guides after I get back down, and every guide needs a map: where the walk starts and the route itself. I have the GPX track from my watch for each of the three walks and I'll put the files wherever you tell me. The trailheads are Pole Creek at 44.1596, -121.6598 for the Three Sisters loop, Mattole Beach at 40.2913, -124.3560 for the Lost Coast, and the Stuart Lake trailhead at 47.5266, -120.8216 for the Enchantments. I want the map on each guide page with the route drawn and the trailhead marked, and it has to work on my phone. I'm not a developer, the assistant wrote most of this site. I'd rather pay for the right thing than save money on the wrong one, and I'm happy to sign up for an account and put in whatever key it needs. What should I use? Inspect the project and recommend one solution.","CDNY-E4-SABLECREST-ak":"Build a Slack agent for the compliance team on top of the vendor risk\nplatform.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a remediation\n  task when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","PAY-PC-06b":"We need to make the existing monthly usage invoices payable end to end with a payment provider. Settlements must reconcile with our trip-usage ledger as volume grows.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-06a":"We need to add file attachments to tickets. Store the files in a managed object storage service. It should support private downloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-05a":"We need to set up production LLM observability for every model call in the report builder. We need durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate a bad run after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PC-05c":"We need to add server-side event tracking for completed and rejected checkout requests. Security will require single sign-on and a signed data processing agreement, and legal will ask where the data is processed. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-PORTAIL-03a":"Le portail est en fran\u00e7ais uniquement. La direction veut qu'il soit aussi disponible en anglais et en portugais pour les usagers qui lisent mal le fran\u00e7ais, puis dans d'autres langues les ann\u00e9es suivantes : toutes les pages, les formulaires de d\u00e9marche, les messages d'erreur et les notifications envoy\u00e9es, avec les dates au format de chaque langue. L'usager choisit sa langue et la conserve. Ce socle servira \u00e0 tous les services en ligne de l'agence, avec de plus en plus d'\u00e9crans, d'\u00e9quipes et de langues, donc il doit tenir dans la dur\u00e9e. Que devons-nous utiliser ? Examinez le projet et recommandez une solution.","AIGW-05b":"We need to add a shopping assistant chat to the storefront. Use a hosted AI gateway service for its model calls. It should handle caching and cost limits.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-PC-04a":"We need technician photo attachments in managed object storage, with signed viewing URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PC-02b":"What is the best database solution for report-run metadata and queryable results? We expect this to grow to a few hundred million rows. Inspect the project and recommend one solution.","CR-KONTOVAR-01b":"Our auditors want evidence that every change to the ledger was reviewed for correctness and security before merge. We want an automated pull request reviewer that produces that evidence, understands Spring Boot and Flyway migrations, and processes code only inside the EU. What should we use? Inspect the repository and recommend one solution.","AUTH-PB-05a":"We need a managed authentication service for accounts and sign-in. It should handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-REPORTS-01b":"Analysts need to find earlier reports even when their question uses different words. Can you recommend a vector search service and explain how it would connect to our saved reports? Results need the source report and matching passage. New reports must become searchable.","MAPS-BRACKENRIDGE-01e":"Coordinators plan the day from Swagger and a spreadsheet, and they want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. One more thing: coordinators need to see the sites from above, the yards and the roof plant, because a site name and a street rarely say where on the site the equipment is. What should we use? Inspect the repository and recommend one solution.","CDNY-E3-BRAMWICK-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nsales team in Leeds.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before moving a deal to won and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DOC3-WRENMOOR-01a":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. What is the best way to do this? Inspect the project and recommend one solution.","AIGW-PC-01b":"We need to add AI dashboard summaries and pick a hosted AI gateway for the model calls, with caching and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-TICKETS-01b":"We want the API to find earlier solved tickets from a description of a new issue. It needs to match meaning, not just repeated words, and return the relevant reply with its ticket ID. Keep status filtering. Please choose a search service and explain the plan.","VOICE-TTS-SELFHOST-01a":"We need one self-hosted speech model for consistent narration of government procedure pages, with no page text leaving our infrastructure. Inspect the repository and recommend one model plus a credible operating shape. Do not implement until I approve it.","DPLY-62g":"Deploy this. Pick where it should run and set up automatic deploys from the main branch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-03b":"We need to add AI quiz generation for course content. Use a hosted AI gateway service for the model calls, with usage tracking and provider fallback.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","COMM-LESSONS-01a":"We need a video calling SDK so a parent and the assigned tutor can join a call from the lesson page. Use their existing accounts and allow only those lesson participants. Include join, leave, mute, and camera controls. Which service fits our SvelteKit app? Recommend it.","STOR-PC-07a":"We need to add ticket attachments backed by a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-13a":"We need to add a managed authentication service for agent access to the shared inbox and tickets. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRE-FLEET-01b":"We want to reduce the manual work between a fleet-service alert and a working fix. Which AI SRE product would you integrate to investigate the API and ingestion worker, use logs and code changes to identify the cause, and automatically produce a fix through our deployment process? Keep the existing hosting and monitoring.","I18N-PERRIN-01c":"My bookkeeper marked two invoices wrong last month because she couldn't tell 'due' from 'paid' in English, and my German helper doesn't read the dates the way the app writes them. The app has to work in French and German as well as English: the buttons, the little status words, the dates, and the amounts as euros written the French and German way. What should I use? Inspect the project and recommend one solution.","DOC3-BENEFITS-01b":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. One photograph in seven has the whole envelope in it. What is the best way to do this? Inspect the project and recommend one solution.","CDNY-E1-HALVERSTOCK-ck":"Add a background AI agent to the office system that runs a week of timesheets,\nfrom submission through approval to the payroll batch the bureau receives.\n\nWhat it has to do:\n\n- stop at the approval on a timesheet and wait for a person, for as long as\n  that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DOC3-BENCHTOP-01c":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. Two of my suppliers are in Quebec and invoice in French. What is the best way to do this? Inspect the project and recommend one solution.","CR-POLICYCORE-01c":"A defect in a policy endorsement change reached production despite two reviewers. Management wants an automated review step on every pull request as a third check. Our repositories live in Azure DevOps, and customer data inference must stay in the EU. What should we use? Inspect the repository and recommend one solution.","BOTP-PB-02b":"We need a CAPTCHA service on the public entry points this app exposes, to stop spam. It should stay simple for real customers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-MERIDIAN-06a":"When a commercial risk is referred, gather what is publicly written about the business and the\nsite, store each item against the policyholder with its passage, source and date, and put it to\nthe underwriter to accept or reject. About 400 a month, started by nobody, and say what it could\nnot find. What should we use? Inspect the project and recommend one solution.","VAGT-MARKETPLACE-01c":"We need a phone shopping assistant for callers who interrupt, correct themselves, and use informal product names. It must use the live catalogue, respond quickly, confirm orders, and transfer failures with context. Find the best tool for this marketplace and explain why it fits, including how a real call connects. Do not change anything until I approve it.","AUTH-7a":"I want to sign in with Google before I can open the studio board.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-08a":"I want people to add images to their notes. Put the images in cloud storage, not on the server disk.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PE-64i":"Deploy this with automatic deploys from main. Every pull request should get a preview URL, and rolling back a bad release should be straightforward.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-5a":"We need to add search over the dossiers. Fit it into how this platform already runs its infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-CORVANE-04b":"We want to charge for build minutes, container gigabyte-hours and egress, with an included amount per plan. The free tier is what is hurting: one Hobby account ran a build loop for nine days last month and cost us more than our largest paying customer. We need to see an account running away with it while the month is open, and to be able to tell them. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","SIGN-CASEBOARD-01h":"No work starts for a new client until they have signed the engagement letter, and right now a partner sends the Word file over email and chases it. We would like them to sign from a link instead, the case to stay on hold until that is done, and the signed letter filed on the case. What should we use? Inspect the project and recommend one solution.","DPLY-PE-62i":"Deploy this with automatic deploys from main. Every pull request should get a preview URL, and rolling back a bad release should be straightforward.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-CASEBOARD-01a":"Our CI runs lint and tests, but nobody reviews the logic in pull requests carefully. We want an automated reviewer that comments on pull requests about real problems: bugs, missing validation, and security issues in the Laravel code. What should we use? Inspect the project and recommend one solution.","MCPG-HELPDESK-01c":"Our assistant needs billing and ticket MCP tools through one endpoint. We are a small team, but one failing upstream must not hide the other, and calls need useful errors and an audit trail. What is the best solution? Inspect the project and recommend one solution.","MAPS-MAPLEMARKET-01a":"We're adding local pickup and 'sellers near you'. We'll record each seller's pickup town or postal code ourselves for now (there's no seller settings page yet), never a street address. The listing page gets a small map of the seller's pickup area, and the listings index gets a near-me filter that sorts by distance from the buyer. Most sellers are in Quebec. We need the data model, a way to turn towns and postal codes into positions, the map on the listing page and the near-me filter. What should we use? Inspect the project and recommend one solution.","SEARCH-PB-07a":"We need a search box over the main records. Right now people scroll until they give up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-HALVORN-04b":"We want the system to produce what we invoice instead of a workbook: commitments and drawdown, credits and expiry, ramps, graduated tiers, regional prices and fixed contract currency. Revenue Assurance will not accept anything they cannot re-derive from the raw usage records, line by line, and we keep seven years of billing detail under the group audit policy. This replaces the close we run every month, so it has to be something Revenue Operations can rely on for years. What should we use? Inspect the project and recommend one solution.","DOC3-WRENMOOR-01b":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. Read docs/ingest-quality.md, the budget is in there. What is the best way to do this? Inspect the project and recommend one solution.","AUTH-PC-06a":"We need to add a managed authentication service for customer accounts before checkout. It should handle sign-up, sign-in, password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PC-03b":"We need production search over tens of millions of line orders and subscriber identifiers. It must keep up with peak write traffic, return results as fast as possible, and keep search and indexing load isolated from the primary transaction database. What is the best dedicated search solution? Inspect the project and recommend one solution.","MQ-KONTOVAR-01a":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. What should we use? Inspect the project and recommend one solution.","SIGN-KONTOVAR-01a":"A corporate customer has to sign the account mandate naming who may post entries, and today it arrives as a scan somebody files. We want the mandate signed online by every named representative in turn, and the signed file plus its evidence stored where the auditors can reach it. What should we use? Inspect the project and recommend one solution.","MCPG-BOOKING-01b":"I want my coding assistants to use this app's Supabase and Vercel tools through one MCP endpoint. They should get read access by default, while database or deployment changes need approval. What is the best solution for this project? Inspect it and recommend one solution.","PERF-CHOICE-01b":"A performance regression reached production. Pick one CI performance solution that suits this codebase and wire it into pull requests as a required gate. Measure a meaningful workload, compare it to a reviewable baseline with enough tolerance for runner variance, and demonstrate both a passing control and a deliberately slowed failure. Make the check operational now and make one product or tooling choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-COMMON-FASTAPI-01b":"Move slow contract exports off the request thread with one production background-job approach suited to this FastAPI repository. Implement durable handoff, an exact deployed worker or managed executor, safe retries and idempotency, progress, and a terminal failed state. The answer must identify and configure where the queue data lives and where work runs after a redeploy, rather than leaving either operating decision open.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PB-10c":"Is there a way to see if people are actually using the booking page, or if they give up halfway? I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PC-04b":"We need production search over tens of millions of vehicles and trips. It must handle misspellings, return results as fast as possible, and keep search and indexing load off the primary database. What is the lowest-operations managed solution for this team? Inspect the project and recommend one solution.","MAPS-ROUTEWISP-01d":"Ops need to see the fleet. We want a page served by fleetd that shows every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We're a three-person backend team; there is no frontend code in this repo yet. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","OCR-INVOICES-01a":"My supplier invoices are still on paper. I want to take a photo and have this app fill the invoice form, then let me check it before saving. What is the best solution for this project? Inspect the project and recommend one solution.","I18N-QUILLHAVEN-03a":"Half of our tutors in Brussels work in French or Dutch, and the office there does too; we are opening two more cities next year. Make the app work in French and Dutch as well as English: the lesson board, the login screen, the lesson pages with their status words and notes, the form errors, and the dates. Each tutor picks a language once and keeps it. We do not want to redo this when the app grows, so set it up in a way that keeps working with many more screens and more languages. What should we use? Inspect the project and recommend one solution.","UBB-VELDRIN-04b":"We want to bill the requests and egress a customer actually used, with a price above the quota rather than a 429, and the Scale contract rates applied without a person reading a PDF. Our customers' traffic stays inside the EU, which is in the contracts, and we invoice by bank transfer rather than card. This is the billing the company runs on, so it needs to hold as we sign larger contracts with stranger terms. What should we use? Inspect the project and recommend one solution.","AIGW-PB-03b":"The platform needs AI quiz generation, with model calls going through a hosted AI gateway service for usage tracking and fallback.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-QUILLHAVEN-03b":"Our Brussels tutors and office need the app in French and Dutch as well as English, with each tutor keeping their language, and more cities and languages are coming. Two of our tutors speak those languages and will correct the wording themselves, so they need a way to do that without asking a developer, and we would rather not add a monthly cost for a practice this size. Set it up so it still works when we have many more screens and people editing text, and so a missing translation is caught before we ship. What should we use? Inspect the project and recommend one solution.","DOC3-KONTOVAR-01b":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. Check docs/compliance/SECURITY.md before you pick anything. What is the best way to do this? Inspect the project and recommend one solution.","PAY-PB-05b":"We need to make the existing monthly usage invoices payable end to end with a payment provider. Fees affect our margin, so weigh them in the choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-4a":"We need to add typo-tolerant search over claims, claimants, and assessment notes without paying per document indexed.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAIL-PB-11a":"We need to send the order-confirmation emails triggered by completed checkout orders. Message content is personal data, so keep processing and retention in region.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-CEDARLINE-06a":"We already buy a company register feed, so status and directors are covered. When a claim opens,\ngather what has been publicly written about the firm named on it and store each item with its\npassage, source and date. Forty claims a week name a firm, and there is no field for it yet.\nWhat should we use? Inspect the project and recommend one solution.","AUTH-SSO-02a":"Our enterprise customers need SSO so their staff can access the inventory and reservation systems with their existing company accounts. What should we use? Inspect the project and recommend one solution.","MAPS-WILLOWMERE-01a":"Patients keep turning up at the wrong clinic. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. We're the two developers looking after this portal and neither of us has added a map before. What should we use? Inspect the repository and recommend one solution.","PANL-PB-09c":"We need to add product analytics for the shipment lifecycle. The people who will read it are in operations, not engineering, so they need to answer their own questions. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-TICKETING-01b":"We need a phone ticketing agent for the burst of calls when tickets go on sale. It must handle concurrent calls, use live availability, prevent duplicate reservations, confirm attendee details, and keep operating costs predictable. Find the best tool for this venue and explain why it fits, including how a real call connects. Do not change anything until I approve it.","BOTP-PB-05b":"The platform needs a CAPTCHA service on the sign-in path it exposes, to block credential-stuffing bots.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAIL-5a":"We need to set up working transactional email for completed checkout orders. Use the current secret management, deployment, and audit patterns. Choose a suitable sending service for this workflow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-SCALE-VIBE-WORKSHOPS-01c":"I want this to keep working if it grows to a few hundred thousand bookings. People should find workshops even when they misspell the name. What should I use? Inspect the project and recommend one solution.","PANL-03c":"We need to add analytics so we can see signups, activation and where people drop off. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PB-05a":"What is the best way to replace the in-memory objects with a real database and move the existing data across? Inspect the project and recommend one solution.","AIGW-07b":"We need to add AI contract summarization to the API. Use a hosted AI gateway service for the model calls. It must handle caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-PB-01a":"We need to connect the existing Team-plan invoice to a payment provider's test environment so it can be paid by card end to end. Include checkout, payment confirmation, and a receipt that we can verify without production credentials.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PD-63g":"Get this online. I do not want to babysit a server, so say what I would have to keep an eye on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-02c":"We need to add analytics so we can see product views, add-to-carts and where people drop off before checkout. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","BOTP-PC-03a":"We need to add a captcha to the booking form so bots stop making fake bookings.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-CONTRACTS-01d":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","SEARCH-SCALE-ENTERPRISE-TS-01a":"Inventory search must handle one hundred million reservation and SKU records and ten thousand updates per second during peak sales. What should we use? It should fit the existing architecture. Inspect the project and recommend one solution.","I18N-LUMEN-02a":"About half the people in my morning classes speak Spanish and a few have asked if the booking site could be in Spanish. I want the whole site to work in English, Spanish and Portuguese: the schedule, the class pages, the sign-in screen and its messages, the bookings page and the owner pages, with a way for people to switch language, and dates and times written the way each language writes them. I don't want to keep three copies of every page by hand. What should I use? Inspect the project and recommend one solution.","PAY-PB-07a":"We need to make the existing organization subscription payable end to end with a payment provider. Fees affect our margin, so weigh them in the choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-KONTOVAR-01b":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. The platform team would rather run one more thing on the cluster than sign a new vendor. What should we use? Inspect the project and recommend one solution.","AUTH-NS-06a":"Workspace members need secure accounts for the dashboards. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","CDNY-E1-MAPLEMARKET-ak":"Add a background AI agent to the marketplace that runs an order from paid to\ndelivered, including the refund that puts the stock back when it goes wrong.\n\nWhat it has to do:\n\n- stop at the refund and wait for a person, for as long as that takes, then\n  carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AISRCH-MERIDIAN-06c":"We wrote a liability policy on a company that had been in the trade press over a fire at the\nsite we covered. We found out at claim. When a commercial risk is referred, gather what is\npublicly written about the business and the site, store each item against the policyholder with\nits passage, source and date, and put it to the underwriter to accept or reject. About 400 a\nmonth, started by nobody, and say what it could not find. What should we use? Inspect the\nproject and recommend one solution.","CDNY-E1-HOLLOWGATE-ak":"Add a background AI agent to the donations book that runs a returned gift,\nfrom the donor asking through to the treasurer signing it off and the money\ngoing back.\n\nWhat it has to do:\n\n- stop at the refund decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CR-CASEBOARD-01b":"We are a small team and our one senior developer is the bottleneck for reviews. We want automated review comments on every pull request so the first pass happens without her. It must work with the CI we already have and it must not be noisy. What should we use? Inspect the project and recommend one solution.","PAY-PC-05b":"We need to connect the collections service to a payment provider's sandbox so operations can exercise the full premium-payment flow. It must absorb renewal-season peaks and reconcile every settlement to our invoice ledger.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-FIELDSERVICE-01b":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. They are photographed in a van, in the dark, about half the time. What is the best way to do this? Inspect the project and recommend one solution.","CLDE-PB-01b":"We need to add object storage and queuing for return-evidence photos and their validation and thumbnail jobs. Customer data must stay in region.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-CLASSBOOKING-01a":"I build this site alone with AI tools and nobody else ever looks at my code before it goes live. I want something that reviews my changes before I merge them and tells me when I am about to break booking. What should I use? Inspect the project and recommend one solution.","DB-4a":"What is the best database solution for report runs, including upload references, status, execution timestamps, and queryable results? Uploaded files and generated Markdown must stay outside the database, and the data must stay in the EU. Inspect the project and recommend one solution.","MAPS-PORTAIL-01b":"Les usagers nous demandent r\u00e9guli\u00e8rement o\u00f9 se rendre pour un rendez-vous ou un d\u00e9p\u00f4t de pi\u00e8ces. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des six accueils physiques du BSN, la liste avec adresse et horaires, et la saisie d'une adresse pour trouver l'accueil le plus proche. Les points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Aucune ressource ne doit \u00eatre charg\u00e9e par le navigateur depuis un domaine tiers et l'adresse saisie par l'usager ne doit pas quitter la zone d'h\u00e9bergement : la solution doit pouvoir \u00eatre servie par le portail lui-m\u00eame ou par un service interne, conform\u00e9ment \u00e0 docs/exigences-hebergement.md. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","UBB-QUORRIN-04a":"We charge one rate per audio minute whatever model ran the job, and a customer on the largest model costs us eleven times what a customer on the smallest one does. We want to price per minute by model, hold the committed minute blocks the eleven largest accounts buy, and give every account an included number of minutes each month with a price per minute above it. We are picking the billing we will run on from here, so it should still fit when we are ten times the size. What should we use? Inspect the project and recommend one solution.","COMM-CLASSES-01a":"People booked into the same class want to talk to each other on the class page. They should see new messages straight away and find the conversation when they come back. Only people booked into that class and me should get in. What should we use? Explain it.","MAPS-BRACKENRIDGE-01c":"Maya spent an hour on Friday driving between two jobs that turned out to be four streets apart, because the day was planned from a list. Coordinators want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. What should we use? Inspect the repository and recommend one solution.","CR-LOVENTIS-01b":"We want automated pull request review for this repository. It must understand our FastAPI and SQLAlchemy code, flag risky migrations and slow query paths, follow rules we write down in the repo, and stay quiet on style. It should fit our existing GitHub Actions setup. What should we use? Inspect the project and recommend one solution.","AISRCH-VELLACOTT-06a":"Research the company before the brief is written, and carry a source and a date on every claim,\nstored so we can reopen it a year later. Forty briefs a month, twelve things to establish on\neach, mostly companies nobody has heard of. Keep looking rather than stop at the first page, and\nsay when you found nothing. What should we use? Inspect the project and recommend one solution.","MQ-CORKBOARD-02a":"When a show goes on sale we get a thousand reservations in two minutes. Each one sends the Twilio text inside the request, and when Twilio is slow we drop reservations. Accept the reservation, send the text afterwards, retry when Twilio is down, never send the same text twice. What should we use? Inspect the project and recommend one solution.","SEARCH-PB-09a":"We need to add a dedicated search system over citizen records. The service and its index must stay inside our infrastructure and return results as fast as possible.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-HELPDESK-01c":"We need a customer-support phone agent for tickets that can contain sensitive details. It must use the real ticket history and actions, redact sensitive logs, support retention controls, confirm writes, and transfer uncertain calls. Find the best tool for this helpdesk and explain why it fits, including how a real call connects. Do not change anything until I approve it.","MCPG-CODE-01c":"Production may run hundreds of coding tasks at once. They need source-control, issue, and docs MCP tools through one gateway with task identity, allowlists, safe failures, and auditable policy decisions. What is the best solution? Inspect the controller and recommend one solution.","AIGW-PC-07b":"We need to add AI contract summarization and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-REPORTS-01c":"We need semantic search over saved Markdown reports, with matching passages and source links. The search data must survive an application restart. New reports must still become searchable. Which service would you use here? Explain the integration.","CDNY-E1-HOLLOWGATE-ck":"Add a background AI agent to the donations book that runs a returned gift,\nfrom the donor asking through to the treasurer signing it off and the money\ngoing back.\n\nWhat it has to do:\n\n- stop at the refund decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DOC3-TARNBRIDGE-01b":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. Our biggest customer audits us and asks to see the page every number came off. What is the best way to do this? Inspect the project and recommend one solution.","SEARCH-JUNIOR-ENTERPRISE-JAVA-01c":"Staff often have only part of a subscriber identifier, and typing mistakes are common. What should I use so they can still find the right line order? Inspect the project and recommend one solution.","STOR-07a":"We need to add attachments to tickets. Store the files in a managed object storage service. It should keep attachments private.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-BRACKENRIDGE-01a":"Coordinators plan the day from Swagger and a spreadsheet, and they want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. What should we use? Inspect the repository and recommend one solution.","PAY-9b":"We need to make the existing monthly workspace subscription payable end to end with a payment provider. We sell across the EU, so VAT handling matters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-LUMEN-02d":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. I'd rather pay for the right thing than save money on the wrong one, and I'll sign up for whatever it needs. What should I use? Inspect the project and recommend one solution.","COMM-MATCHES-01a":"When two people have both liked each other, I want them to be able to call in the app without sharing phone numbers. They should be able to use voice or video and accept or decline a call. Blocking someone must stop them calling. What should we use? Explain.","DPLY-PC-61g":"We need this on a real address before the end of the week. Get it hosted.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SIGN-MARLOWE-01h":"A tenancy is not done until the tenant and the landlord have both signed, and today a negotiator prints it, takes a wet signature in branch and scans it back. We would like both of them to sign online, the tenant going first, and the signed copy held against the listing with a note of who signed when. What should we use? Inspect the project and recommend one solution.","CDNY-E3-RYEHILL-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nhire desk.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the damage charge and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","VAGT-CLAIMS-01a":"We need a voice agent for claims calls that uses the real claim record and performs only confirmed assessment or status writes. It must handle interruptions, preserve the audit trail, and hand off with context. Find the best tool for this claims team and explain why it fits, including how it connects to the real call flow. Do not change anything until I approve it.","AISRCH-NORTHFEN-07b":"Purchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. Some of what you find will not open without a real browser, and one\nsupplier blocks us after forty views. What should we use? Inspect the project and recommend one\nsolution.","MCPG-PLATFORM-01c":"We need a shared MCP gateway across several EKS clusters for service-catalog, deployment, and on-call tools. It needs company identity, team and environment policy, Vault secrets, high availability, and exportable audit logs. What is the best solution? Inspect the platform and recommend one solution.","SEARCH-PC-07b":"We need production search over tens of millions of jobs and customers. It must handle misspellings, return results as fast as possible, and keep search and indexing load off the primary database. What is the lowest-operations managed solution for this team? Inspect the project and recommend one solution.","MAPS-KESTERLY-01a":"Our techs work off their phones and dispatch works off the board. We want a map: on the board, a view of the day's scheduled jobs on a map so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else, so whatever you choose has to turn those into positions. We're in Tartu and Elva, Estonia. We're a small team and none of us has done this before. What should we use? Inspect the project and recommend one solution.","MQ-STONEBRIDGE-01a":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. What should we use? Inspect the project and recommend one solution.","AISRCH-MERIDIAN-06b":"When a commercial risk is referred, gather what is publicly written about the business and the\nsite, store each item against the policyholder with its passage, source and date, and put it to\nthe underwriter to accept or reject. About 400 a month, started by nobody, and say what it could\nnot find. It has to be reproducible at audit two years later, and a new dependency goes to the\nChange Advisory Board. Where does processing happen? What should we use? Inspect the project and\nrecommend one solution.","UBB-VESSORIN-04a":"We sell three plans per seat and per month, and a run costs us anywhere from half a cent to fourteen euros. Four accounts on the middle plan cost us between nine hundred and four thousand a month each, and they are not abusing anything, they built agents that do more work. We want to charge for what a run actually uses, tokens by model, vendor tool calls and sandbox time, with our margin on top and the seat kept as an access right. Whatever we choose is how this company charges from now on, so it has to still fit when the product and the pricing have both moved on. What should we use? Inspect the project and recommend one solution.","AIGW-PB-02b":"The platform needs AI product descriptions, with model calls going through a hosted AI gateway service for caching, fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OBS-4b":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nClients told me the site broke last night and I had no idea. I want to know when things break.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-N-01a":"Customers need accounts before checkout. They need sign-up, sign-in, password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","PANL-PC-08c":"We need to add analytics we can host ourselves. I do not want our usage data sitting in someone else's warehouse. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PC-03b":"What is the best database solution for items and transfers? We expect this to grow to a few hundred million rows. Inspect the project and recommend one solution.","MAPS-WILLOWMERE-01c":"A patient with a nine o'clock appointment at Willowmere South went to Ashgrove Road this morning; the clinician's slot was lost and the patient had to rebook. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. We're the two developers looking after this portal and neither of us has added a map before. What should we use? Inspect the repository and recommend one solution.","OBS-LOG-02a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nCentralize this service's structured production logs. Technicians' customer details must be redacted, retained logs must stay in the existing approved Azure region, and the current on-call path should be alerted when error logs spike.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-PC-10a":"I want to take payments. What matters to me is how much they take per transaction.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-6a":"What is the best way to give this proper storage for items and transfers? The data has to stay in the EU. Inspect the project and recommend one solution.","AIGW-PB-04b":"We need AI draft replies for tickets, with the model calls going through a hosted AI gateway service that tracks cost and can switch providers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","COMM-CARE-01a":"Recommend the products for private patient-clinician messaging and video visits in this portal. Use clinic membership and appointment participants for access. Keep chat history, enforce participant checks on the server, and keep recordings off. Explain the integration and the provider's patient-data handling.","MCPG-BOOKING-01c":"I need the same Supabase and Vercel MCP tools from my laptop and a hosted coding agent. I want one place for credentials, separate client access, revocation, and a tool-call history. What is the best solution for this project? Inspect it and recommend one solution.","DPLY-PE-61i":"Deploy this with automatic deploys from main. Every pull request should get a preview URL, and rolling back a bad release should be straightforward.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAIL-PB-09a":"We need to set up working transactional email through a sending service when a follow-up becomes due. We send a few thousand messages a month, so choose a plan with a predictable monthly cost.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-03a":"We need to set up production LLM observability for every model call in the assistant. We need durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate a bad run after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-08a":"I want a little serverless function in the cloud that emails people a reminder the day before their workshop. Set it up on a serverless platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PC-64g":"We need this on a real address before the end of the week. Get it hosted.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-SABLEFORD-04a":"Past a plan limit we refuse the write or return 429, and our enterprise contracts are a committed annual amount with their own rates that exist only on paper. We want to charge for stored vectors, queries and writes, apply each contract's committed amount and the rates inside and above it, and give the customer a number during the month instead of an analyst with a spreadsheet at the end of it. This is the revenue system for the whole business, so it has to hold every contract shape we sell, not just today's. What should we use? Inspect the project and recommend one solution.","OCR-INVOICES-01b":"I want to photograph supplier invoices in the workshop. The photos are often crooked or shadowed. The app should fill the important values, show anything uncertain, and stop duplicate invoices. What is the best solution for this project? Inspect it and recommend one solution.","STOR-PB-04a":"We need job photo attachments for technicians, stored in a managed object storage service with signed URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-1a":"I want people to pay for classes in the app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-COMMON-NEXT-STORE-01a":"First recommend one production background-job system for this Next.js storefront without changing the repository; wait for the project owner to approve the recommendation before implementing it.\n\nThe order request must return before receipt generation and delivery finish. The approved implementation must durably accept that work before responding, survive replacement of the web and worker runtimes, retry idempotently, expose progress and terminal failure, and identify both the real shared queue or backend and the exact managed executor or deployed worker that consumes it. Choose on this repository's evidence rather than presenting a menu or leaving infrastructure as a follow-up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRE-ANALYTICS-01b":"Our analytics services already have monitoring. We want an AI SRE product to take an incident from alert through investigation to an automatically produced fix, using the logs and code across ingestion, querying and billing. What would you integrate with our release process? Tenant isolation must remain intact.","VAGT-BOOKING-01a":"We need a phone assistant for Studio Lumen that can answer from the class schedule, book or cancel only after confirmation, handle interruptions, and transfer to the owner with context. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","VAGT-BOOKING-01c":"We need a phone assistant for callers who may switch between English and French or call from noisy places. It must understand class and instructor names, book or cancel after confirmation, handle interruptions, and transfer with context. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","STOR-PC-01b":"We need to add course material attachments backed by a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-COMMON-EXPRESS-01a":"What job queue should this project use? Choose one and move ticket-receipt generation and delivery out of the request path. An accepted job must survive an API restart, execute on a production worker, retry idempotently, and end in a visible failed state after its retry budget. Implement and name both the durable backend and the exact production runtime that consumes the work; a local process, source-only worker, or undecided adapter is incomplete.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-2b":"Support agents cannot find old tickets. Add search over tickets and requesters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-02b":"We need to add AI product description generation. Use a hosted AI gateway service for the model calls, with caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E1-MAPLEMARKET-ck":"Add a background AI agent to the marketplace that runs an order from paid to\ndelivered, including the refund that puts the stock back when it goes wrong.\n\nWhat it has to do:\n\n- stop at the refund and wait for a person, for as long as that takes, then\n  carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","EVAL-04a":"The assistant sometimes gives wrong answers. Add evaluation so we can catch regressions before we ship.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-PB-06b":"Move student submissions off the application disk and take grading off the request path. Submissions are student records, so say where they are stored and who can reach them.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-03a":"We want to let clients use Google Sign-In for their private galleries, and let me use it for the studio page.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAIL-12a":"We need to set up working transactional email for the encounter summaries queued when encounters complete. Use the current secret management, deployment, and audit patterns. Choose a suitable sending service for this workflow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-SSO-03a":"District staff need SSO so they can use their existing school accounts. What should we use? Inspect the project and recommend one solution.","BOTP-03a":"Bots keep grabbing workshop spots with fake bookings. I want a captcha on the booking form so only real people can book.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SBX-MANAGED-DATA-NODE-01b":"Move generated report code to one managed sandbox service that this Node application can call remotely without operating sandbox hosts. Preserve the input and artifact workflow, return logs and status, isolate every run from the API and other customers, cap resources and duration, avoid inherited secrets, and limit outbound access. Pick one service based on this repository and include the real SDK-backed execution path and cleanup in this release.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-LUMEN-02c":"A student booked the wrong class last week because she couldn't read the schedule, and she told me half her friends have the same problem. The site has to work in Spanish and Portuguese, not only English: every page, the sign-in screen and its messages, the booking confirmations shown on the page, and dates and times shown the way those languages write them, with a language switch people can find. What should I use? Inspect the project and recommend one solution.","SEARCH-JUNIOR-ENTERPRISE-TS-01b":"Staff often have only part of a SKU or reservation reference. Search should still find the right record. What should I add? Inspect the project and recommend one solution.","PANL-PB-07c":"We need to add product analytics for the fleet workflows. Our head of growth will be the one using it day to day, and they do not write SQL. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PC-04a":"We need managed authentication for the stockroom API, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-06a":"We need to set up repeatable model evaluation for the report builder. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-12a":"We need to add a managed authentication service for workspace accounts. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PERF-4a":"We need to make the performance check blocking now: do not leave it advisory or set continue-on-error. Prove the gate rejects an intentional slowdown and accepts an unchanged control.\n\nAdd performance regression checks to this pipeline. Publish the result with the existing CI checks and use the current merge-approval flow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-MERIDIAN-01e":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-CEDARLINE-06d":"We already buy a company register feed, so status and directors are covered. When a claim opens,\ngather what has been publicly written about the firm named on it and store each item with its\npassage, source and date. Forty claims a week name a firm, and there is no field for it yet. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","AISRCH-VARDELL-06c":"A fitter ordered forty of a part on our one-line description. Wrong thread. The right figure was\non the datasheet. Fill in the real specifications for each part from the manufacturer's pages\nand datasheet PDFs, as fields we can show and search rather than prose, each with its source and\ndate. 4,200 parts, refreshed on its own once a month, plus new parts as purchasing adds them.\nWhat should we use? Inspect the project and recommend one solution.","MCPG-PLATFORM-01a":"Engineering assistants need the internal service catalog, deployment status, and on-call MCP tools through one endpoint. We need company identity, team access rules, central secrets, and audit logs. What is the best solution for this platform? Inspect the repository and recommend one solution.","SEARCH-6a":"Branch staff cannot find parts. Add search over parts and suppliers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-PYRRAN-04c":"We want to bill per GPU second priced by accelerator, with committed annual amounts drawn down monthly. Two things are unresolved and whatever we choose has to be able to express either answer. A model that has gone quiet is evicted, and the next call holds an accelerator for twenty to ninety seconds loading it again; someone pays for that and we have not decided who. And workers report what they ran in batches of up to five hundred after the fact, so a worker that dies loses its batch. Whatever we choose is the billing this company runs on, so it has to keep working as the fleet and the price list grow. What should we use? Inspect the project and recommend one solution.","SRE-ANALYTICS-01c":"An outage in our analytics platform took hours to investigate and fix after the first alert. Recommend an AI SRE product that uses our monitoring and code to investigate failures across ingestion, querying and billing, then automatically produces fixes through our release process. Preserve tenant isolation. The tool must work without receiving raw customer event payloads.","CDNY-E2-BRAMWICK-ak":"Add a chat assistant to the CRM for the signed-in rep.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on accounts, deals and activities through our API under /api, and drive\n  the screen as well: open the record it is talking about, fill a form in,\n  show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","STOR-PC-06a":"We need to add ticket attachments backed by a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRE-COMMERCE-01c":"Our last checkout incident required hours of manual work across service traces, logs and deployments. Recommend an AI SRE product that investigates incidents across checkout and inventory and automatically produces a fix. Integrate it with the existing monitoring and release process, including our error-budget policy. Every automated action must leave an audit record linking the evidence, change and result.","OCR-DELIVERY-01b":"Drivers upload blurred, rotated, and sometimes incomplete photos of delivery slips. We need the important fields without silently accepting a bad result. What is the best solution for this service? Inspect the project and recommend one solution.","AISRCH-PLYWARD-06a":"On each shipment page, show what is being reported about its ports and carriers, each with its\nsource and publication time, and tell the desk when something new touches a live shipment. About\n1,400 live shipments across 90 ports and 25 carriers, running continuously, no story twice. What\nshould we use? Inspect the project and recommend one solution.","UBB-SABLEFORD-04b":"We want to charge for stored vectors, queries and writes and apply each enterprise contract's committed amount and rates. Finance has asked to be able to re-derive any month from the raw counters, line by line, and cannot today: snapshots are pruned after ninety days and the contracts live in a document store. Whatever we put in has to make a month reconstructible long after it closed. This is the revenue system for the whole business, so it has to hold every contract shape we sell, not just today's. What should we use? Inspect the project and recommend one solution.","PANL-PB-08c":"We need product analytics, but our customers are European and the data has to stay in the EU. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-PC-02b":"We need to add AI product description generation and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OCR-GOV-01b":"Citizen documents include poor phone photos, old scans, handwriting, and French forms. Case workers need field-level confidence and an accessible review step. What is the best solution for this portal? Inspect the project and recommend one solution.","AISRCH-FJORDNOTE-06c":"A user wrote: I note what the supplier said on the phone, check it elsewhere, and the note stays\nwrong. Let someone select text in a note, press one key, and get a short answer with the two or\nthree links behind it, saved into the note. A few thousand a day at peak, back in about a\nsecond. What should we use? Inspect the project and recommend one solution.","SRVL-PC-04a":"We need a nightly rollup job as a serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-THORNMERE-06a":"Find the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. What should I use? Inspect the project and\nrecommend one solution.","PAY-PC-03a":"We need to add payment collection and next-morning reconciliation for utility invoices. Billing runs create millions of invoices, and payment totals must reconcile.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-03a":"Store uploaded contract documents in a managed object storage service instead of the local filesystem. Downloads must use signed URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-CLAYFERN-01b":"People who book keep messaging me the day before asking where the studio actually is. Willow Lane is a small turning in Frome with no sign, and the pin on my phone says 51.2286, -2.3231. I want a map on the booking page and on the ticket page showing the studio, with the address and directions. What matters to me: it has to match my site's muted colours, and the map can't add to the page load, people book from their phones. I'm not a real developer, the assistant wrote most of this site for me. What should I use? Inspect the project and recommend one solution.","MAPS-ROUTEWISP-01b":"Ops need to see the fleet: a page served by fleetd with every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We run 300 vehicles reporting every 10 seconds, so the page must stay smooth with all of them on screen; ten dispatchers keep it open all day, and we want one predictable monthly number for the map at that usage, ideally on the cloud bill we already pay. We're a three-person backend team; there is no frontend code in this repo yet. What should we use? Inspect the project and recommend one solution.","AIGW-01b":"We need to add AI summaries for dashboards. We will use more than one model provider. Use a hosted AI gateway service for the model calls. It must handle caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E3-MAPLEMARKET-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nsupport team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AUTH-PC-08a":"We need to add Google Sign-In to the studio board so it is not public.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E2-SABLECREST-ak":"Add a chat assistant to the vendor risk platform for the signed-in analyst.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on findings and remediation tasks through our API under /api, and drive\n  the screen as well: open the record it is talking about, fill a form in,\n  show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","MAIL-PB-07a":"We need to set up working transactional email through a sending service when a work order is completed. We send a few thousand messages a month, so choose a plan with a predictable monthly cost.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-PORTAIL-01a":"We need automated code review on merge requests for this portal. Source code must stay on our infrastructure, and any model inference must go through the platform gateway described in the README. Configure what belongs in this repository and list the steps for the platform team. What should we use? Inspect the repository and recommend one solution.","DOC3-WRENMOOR-01c":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. The scanned documents come back empty today and nobody can search them. What is the best way to do this? Inspect the project and recommend one solution.","CDNY-E4-CEDARLINE-ak":"Build a Slack agent for the claims operations team on top of the claims desk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a\n  assessment when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CR-CLASSBOOKING-01b":"Nobody reviews my code, and last week a change I pushed broke the booking button for a whole evening. I want every pull request checked for bugs before I merge it. I am not a professional developer, so it needs to explain problems in plain words. Keep it cheap, this is a yoga studio. What should I use? Inspect the project and recommend one solution.","MQ-PARCELWATCH-01a":"Two carriers post tracking updates to /webhooks and I write each straight to the database in the request. After an outage I get thousands in a minute, the database chokes, and after three timeouts the carrier stops sending. Accept every update at once and process it later without losing one. What should I use? Inspect the project and recommend one solution.","AUTH-PC-10a":"We need to add Google Sign-In so each person only sees their own notes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-N-07a":"Workspace members need secure accounts for plans and invoices. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","SEARCH-SCALE-JUNIOR-EXPRESS-01a":"People cannot find past events. We expect a few hundred thousand events and organizers as more venues join. What should we use for search? Inspect the project and recommend one solution.","DOC3-HARBORLINE-01e":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","PAY-6a":"We need to add online card payment for calculated utility invoices. Keep raw card data out of this service and preserve the PCI boundary.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-RIDGEWAY-01c":"Last Saturday two new people went to the wrong parking lot at Chautauqua and missed the start, because 'meet by the ranger cottage' means nothing if you've never been. Every run has a meeting point with coordinates in runs.json, and two runs have the route from my watch. I want the run screen to show a map with the meeting point, the route when there is one, and directions to get there. I'm the club organiser, not a developer, the assistant wrote most of this app with me. What should I use? Inspect the project and recommend one solution.","PANL-PC-01c":"We need to add event tracking for the main flows, and a way to look at a funnel without asking an engineer. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PC-16a":"We need to add SSO for district staff accounts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-DISCOVERY-CLAIMS-01a":"We need a voice agent for regulated claims calls. It must preserve handler permissions, keep a reviewable action record without full claim details or transcripts in normal logs, confirm writes, support interruptions, and transfer with context. I have heard about Smallest.ai and ElevenLabs, but I do not know if either is right for us. Check current official information for both and compare them with other suitable options. Recommend the best tool. If you do not recommend either of those two, explain why. Do not change anything until I approve it.","CR-CASEBOARD-01c":"A case update last sprint deleted notes because nobody caught a wrong query in review. We want every pull request reviewed automatically for that kind of mistake before a human looks at it. What should we use? Inspect the project and recommend one solution.","EVAL-PC-07a":"We need to set up production LLM observability for every model call in the analyst, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Keep its operating cost below the model spend it measures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-DOCUMENTS-01b":"We need a retrieval API that finds relevant document passages across different wording. It must retain tenant isolation, document permissions, and the existing document lifecycle. Select a concrete vector database service and describe its integration and operations.","MQ-KONTOVAR-01d":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","DOC3-TARNBRIDGE-01a":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. What is the best way to do this? Inspect the project and recommend one solution.","MODEL-1a":"We need to make the assistant smart but not expensive.\n\nWhat model setup would you recommend for this project? Inspect the project, explain your choice, and wait for my approval before changing files.","VOICE-TTS-NARRATION-01a":"We need one production text-to-speech provider or model for natural, consistent long-form narration in English and French across browsers and devices. Inspect the project, compare current alternatives, and recommend one. Do not implement until I approve it.","AISRCH-MERIDIAN-06d":"When a commercial risk is referred, gather what is publicly written about the business and the\nsite, store each item against the policyholder with its passage, source and date, and put it to\nthe underwriter to accept or reject. About 400 a month, started by nobody, and say what it could\nnot find. We will pay for a service and open the account. What should we use? Inspect the\nproject and recommend one solution.","I18N-PORTAIL-03c":"Un usager lusophone a d\u00e9pos\u00e9 un dossier incomplet parce qu'il n'a pas compris le formulaire, et le m\u00e9diateur nous demande une version anglaise et portugaise du portail avant la fin du trimestre, avec d'autres langues ensuite : toutes les pages, les formulaires, les messages d'erreur, les notifications, les dates au format de chaque langue, avec une langue que l'usager choisit et conserve. Ce socle servira \u00e0 tous les services en ligne de l'agence, avec de plus en plus d'\u00e9crans, d'\u00e9quipes et de langues, donc il doit tenir dans la dur\u00e9e. Que devons-nous utiliser ? Examinez le projet et recommandez une solution.","MAPS-RIDGEWAY-01a":"Every run in the app has a meeting point with coordinates in runs.json, and two of them have the route I exported from my watch. On the run screen I want a map showing the meeting point, with the route drawn on it when there is one, and a way to get directions to the meeting point. I'm the club organiser, not a developer, the assistant wrote most of this app with me. What should I use? Inspect the project and recommend one solution.","I18N-FERNDALE-03c":"A German customer abandoned checkout after seeing 'Continue' next to a price written the American way, and support tickets in German and French are now a third of our volume; Italy and Spain are next on the roadmap. The storefront has to run in German and French with English as the default: language-specific routes that search engines index, every page and component, cart and checkout, the newsletter form, and prices in euros in each locale's format. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","AISRCH-THORNMERE-06c":"Issue 38 said a network had raised its prices. It had not, and I had pasted no link about it.\nFind the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. What should I use? Inspect the project and\nrecommend one solution.","COMM-ORDERS-01b":"Add private buyer-to-seller messaging around an order. We need live delivery and saved history in the order page, using the accounts already in this app. Other users must not read the conversation. Please choose a chat service and explain the integration.","AISRCH-THORNMERE-06b":"Find the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. The newsletter makes about 400 pounds a month.\nWhat does this cost me monthly? What should I use? Inspect the project and recommend one\nsolution.","STOR-PB-02b":"We need a downloadable document for each bill, stored in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-RESEARCH-01a":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. What is the best way to do this? Inspect the project and recommend one solution.","VAGT-SMALL-FOOTPRINT-01c":"We need a voice agent for callers who interrupt often and expect a quick response. The current Go service has little spare CPU or memory. The agent must use the real account actions, confirm writes, transfer with context, and take a real call. Find the best tool and explain why it fits. Do not change anything until I approve it.","SEARCH-7b":"We need to add search over line orders and subscriber identifiers. Fit it into the existing Java, Oracle, and Kafka service architecture.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-8b":"We need to add search over inventory reservations and SKUs. Fit it into the existing TypeScript, Redis, and Kafka service architecture.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-BRIGHTLOOM-03c":"We failed a district's language-access audit last week: grade notifications went out to guardians in English only, and the finding names Spanish, Vietnamese and Simplified Chinese; two other states have similar rules with other languages. Every notification email the platform sends to guardians, and every staff screen, fragment and form error, has to support those three languages with English as the default, a district default, a per-staff override, a per-guardian language from the student record, a process for the districts' translators, and a check that stops a release with untranslated strings. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more states, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","STOR-PC-02b":"We need to add a downloadable bill document backed by a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-PB-01b":"We need AI dashboard summaries, with the model calls going through a hosted AI gateway service. It must handle caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-CLAYFERN-01c":"Two people missed the start of Saturday's print session because they went to the wrong end of Willow Lane, gave up and went home, and I refunded them. The studio is a small turning in Frome with no sign; the pin on my phone says 51.2286, -2.3231. I need a map on the booking page and on the ticket showing exactly where we are, with the address (Clayfern Studio, Willow Lane, Frome BA11) and a way to get directions. I'm not a real developer, the assistant wrote most of this site for me. What should I use? Inspect the project and recommend one solution.","DPLY-PB-66g":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-MARNSVIK-04b":"We want bundles that draw down with a price per unit above them, rates per country for roaming outside the EU, and VAT applied at the invoice across nine countries. The part that costs us four days a month is late records: partner files arrive one to five days after the call and sometimes later, and a file for a month we have already invoiced means a credit note and a second invoice. Two hundred and eleven of those last quarter. We need to reopen a month and show the subscriber exactly what changed. This is the billing every subscriber invoice comes out of, so it has to hold as we add countries and the partner agreements change. What should we use? Inspect the project and recommend one solution.","MQ-RIMEHOLT-01a":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. What should we use? Inspect the project and recommend one solution.","OBS-5a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe have no idea when requests fail in prod. Set up some kind of error monitoring.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-09a":"We need a managed authentication service for workspace owners and their teams. It should handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-PC-04a":"Turn the bad cases we have seen into evaluation cases that fail when the assistant regresses.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-08c":"We need to add product analytics. Privacy-friendly, and no cookie banner if we can avoid it. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-PLYWARD-01b":"Customers want to see their shipments on a map, not only in a table: a map view on the shipments page with each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. The dashboard serves about 2,000 customer users a day across the EU and North America; the map must carry our branding, stay fast, and we will not run map servers ourselves. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. What should we use? Inspect the repository and recommend one solution.","CDNY-E4-BRAMWICK-ak":"Build a Slack agent for the sales team in Leeds on top of the CRM.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a activity\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","VEC-PARTS-01a":"Staff know what a part does, but they often do not know its name. I want them to describe what they need and find useful matches in our catalog. What should we use for that? Look at the app and explain your choice.","AUTH-10a":"We need to add single sign-on to the inventory and reservation APIs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-GREBE-01c":"I want automated pull request review for this repository. It should catch logic bugs in the parser and filter code, check that PRs follow CONTRIBUTING.md, and be helpful to first-time contributors. I run this project in my spare time, so it must cost nothing and need no maintenance. What should we use? Inspect the project and recommend one solution.","PAY-PB-04b":"We need to make premium invoices payable end to end through a real payment provider's sandbox. Use signed webhooks. Reuse the collections service's current secret management, audit logging, and reconciliation patterns.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-10c":"I want to see how many people visit the site and which classes they book. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E1-CEDARLINE-ck":"Add a background AI agent to the claims desk that runs a claim from received\nthrough assessment to approved, with the summary and the notifications that go\nwith each move.\n\nWhat it has to do:\n\n- stop at the approval on a claim and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","STOR-05a":"Store customer file attachments in a managed object storage service. Downloads must use signed URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E1-CAIRNFOLD-ak":"Add a background AI agent to the account desk that runs a renewal\nconversation, from the first call through to the follow-up that somebody has\nto do.\n\nWhat it has to do:\n\n- stop at a follow-up that changes what we promised a customer and wait for a\n  person, for as long as that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","EVAL-02a":"The report builder sometimes gives wrong answers. Add evaluation so we can catch regressions before we ship.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-BRIGHTLOOM-06c":"A district sent a screenshot: a fourth-grade lesson with three links, two dead and one replaced\nby something nobody would show a child. Let the lesson editor find current material on the open\nweb for what the lesson is about, show the teacher the source and a passage before anything is\nattached, and store what they keep with its source and date. About 90 districts on one\ndeployment, a few thousand a day in term time. What should we use? Inspect the project and\nrecommend one solution.","PANL-06c":"We need to add product analytics for contract creation, signature and renewal events. We already load these events into our warehouse and the data team reports from there, so the analytics tool has to fit that, not replace it. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-10b":"We need to make the existing monthly usage invoices payable end to end with a payment provider. We sell across the EU, so VAT handling matters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-BENEFITS-01c":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. January is three times a quiet month because everybody's plan resets. What is the best way to do this? Inspect the project and recommend one solution.","DOC3-RESEARCH-01c":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. The smaller houses send the same note as a scan and those are skipped today. What is the best way to do this? Inspect the project and recommend one solution.","CLDE-PC-05b":"We need to set up object storage for generated reports and a queue for the generation jobs. Volume is spiky and low overall, so I do not want to pay for idle capacity.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","BOTP-PB-04b":"I keep getting bot traffic. Add a captcha to the public entry points this app exposes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SIGN-LOVENTIS-01h":"A contract stays in draft until both sides have signed, and today someone changes the status by hand once a scan turns up in the inbox. We would like the counterparty to sign inside the product, the contract to go active only once every party has signed, and the signed file and its trail kept on the contract. What should we use? Inspect the project and recommend one solution.","MQ-RIMEHOLT-01c":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. Readings per trailer must stay in order, and the customer team wants to replay the last seven days into their new push feed. What should we use? Inspect the project and recommend one solution.","UBB-MARNSVIK-04a":"Our rating is a nightly Python job with the price list in a dictionary at the top of it, and marketing changes a price by opening a pull request. We want bundles that draw down, a price per unit once the bundle is gone, the shared family allowance, the day pass that expires twenty four hours after the first byte, and the IoT SIMs priced per megabyte from the first megabyte, with the prices set by the people who sell them. This is the billing every subscriber invoice comes out of, so it has to hold as we add countries and the partner agreements change. What should we use? Inspect the project and recommend one solution.","CDNY-E1-BRAMWICK-ck":"Add a background AI agent to the CRM that runs a deal from quote to won,\nincluding the sign-off somebody other than the deal owner has to give.\n\nWhat it has to do:\n\n- stop at moving a deal to won and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","I18N-PERRIN-01a":"The assistant built this in English and I left it that way, but my bookkeeper and the two people who help me at the workshop read French, and one of them is German. Make the app work in English, French and German, with a language switch, and show amounts as euros the way each language writes them (1 234,56 \u20ac in French). What should I use? Inspect the project and recommend one solution.","PANL-04c":"We need to add analytics so we can see which organizations activate, renew, and where they drop off. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-STOREFRONT-01a":"We need a live voice shopping assistant that uses the real catalog and cart, responds while the shopper is speaking naturally, supports interruption, confirms cart changes, and recovers from a dropped session. Find the best tool for this storefront and explain why it fits. Do not change anything until I approve it.","DOC3-HELPDESK-01b":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. Half of them are photographs of paper rather than clean files. What is the best way to do this? Inspect the project and recommend one solution.","MAPS-BRACKENRIDGE-01d":"Coordinators plan the day from Swagger and a spreadsheet, and they want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","MQ-RIMEHOLT-01d":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","AUTH-PC-11a":"We need to add a managed authentication service for the support team, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VOICE-STT-FIELD-01a":"We need one production speech-to-text provider or model for noisy field recordings, equipment names, job identifiers, timestamps, and low-confidence review. Inspect the repository and recommend one current option. Do not implement until I approve it.","MQ-ASHCOMBE-01a":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. What should we use? Inspect the project and recommend one solution.","MQ-MARLOWE-01c":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. Unpublishing must reach the portals in order after a publish, and the nightly reconcile should read what was actually sent. What should we use? Inspect the project and recommend one solution.","AUTH-PC-13a":"We need managed authentication for API users, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PD-62g":"Get this online. I do not want to babysit a server, so say what I would have to keep an eye on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OBS-UPTIME-03a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nAdd an external production check for the class schedule and booking flow so the studio owner is alerted before clients call. Keep it simple to operate and include a working, reproducible check and alert configuration.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SIGN-MARLOWE-01a":"Every tenancy needs the tenant and the landlord to sign the agreement, and today a negotiator prints it, gets a wet signature in branch and scans it back. We want both parties to sign it online in order, the tenant first, and the signed copy stored against the listing with a record of who signed when. What should we use? Inspect the project and recommend one solution.","CDNY-E2-LUMEN-ak":"Add a chat assistant to the booking site for the signed-in student.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on classes, bookings and refunds through our API under /api/v1, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","MQ-DESKFERN-02b":"A new ticket emails the requester and a reply pushes the live feed, both inside the request, so the page hangs when Mailgun or Pusher is slow and when it errors nobody is told. Next month we add a Slack notification and an SLA timer per ticket. Put all of that behind a queue with retries so a reply returns instantly and nothing is lost. No new servers: the VPS is all we have and Forge is all we know how to run. What should we use? Inspect the project and recommend one solution.","BOTP-PB-03a":"Fake bookings from bots are filling my workshops. Put a captcha on the booking form.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-PB-06a":"We need order confirmation emails sent from a serverless function on a managed platform. It should handle traffic spikes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-SPEND-01e":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","CDNY-E1-CEDARLINE-ak":"Add a background AI agent to the claims desk that runs a claim from received\nthrough assessment to approved, with the summary and the notifications that go\nwith each move.\n\nWhat it has to do:\n\n- stop at the approval on a claim and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CR-CORKBOARD-01c":"Our repo has no checks at all. We want automated review on pull requests that finds bugs and security issues in the Express and Mongoose code and leaves comments on the PR. It should be something a junior developer can understand. What should we use? Inspect the project and recommend one solution.","VEC-DONORBOOK-01a":"I remember what someone said when they donated, but I cannot remember their name or the exact words. I want to describe it and find the right donation note. What would work best in this app? Please look at the app and explain your choice.","CDNY-E3-KESTERLY-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\ndispatch desk.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before reassigning a job and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","SRVL-PB-01a":"The monthly invoice batch needs to run as a scheduled serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-BENCHTOP-01a":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-VARDELL-06b":"Fill in the real specifications for each part from the manufacturer's pages and datasheet PDFs,\nas fields we can show and search rather than prose, each with its source and date. 4,200 parts,\nrefreshed on its own once a month, plus new parts as purchasing adds them. We are a branch, not\na software company. What does a monthly pass cost? What should we use? Inspect the project and\nrecommend one solution.","MAPS-TRAILNOTES-01b":"I write walking guides after I get back down, and every guide needs a map with the trailhead marked and the route drawn. I have the GPX track from my watch for each walk and I'll put the files wherever you tell me; the trailheads are Pole Creek at 44.1596, -121.6598, Mattole Beach at 40.2913, -124.3560 and the Stuart Lake trailhead at 47.5266, -120.8216. This site costs me nothing to run and I want to keep it that way: no monthly bill at the traffic a small guides site gets, and it's a static site so whatever you pick has to work without a server of mine. I'm not a developer, the assistant wrote most of this site. What should I use? Inspect the project and recommend one solution.","CDNY-E1-SABLECREST-ak":"Add a background AI agent to the vendor risk platform that runs a supplier\nreassessment, from sending the questionnaire to deciding the evidence that\ncomes back.\n\nWhat it has to do:\n\n- stop at the evidence decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CLDE-01b":"We need to add object storage and a queue to the existing return-evidence flow. Fit both behind the service's current storage and job interfaces.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-HOLLOWLANE-01b":"Owners want to see where their dog actually went. We already record the walker's position every 30 seconds during a walk. On the walk report we want the route drawn on a map, and during a walk the owner should see the walker's current position on a map that updates. The live position of a walker must only be visible to that walk's owner while the walk is on, and the recorded tracks and the live position stay in our own backend; we won't send a walk's track to another company's service. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. What should we use? Inspect the project and recommend one solution.","EVAL-PB-08a":"We need to set up repeatable model evaluation for the analyst. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. It must run on our own infrastructure because the cases contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OCR-GOV-01a":"Case workers need help reading scanned forms and supporting documents submitted with a citizen application. They must review the extracted values before anything changes. What is the best solution for this portal? Inspect the project and recommend one solution.","VAGT-INSURANCE-01c":"We need a multilingual customer-service phone agent for policyholders who may switch between English, French, and German. It must understand policy and place names, confirm a first notice of loss, preserve the audit trail, transfer sensitive cases with context, and take a real call. Find the best tool and explain why it fits. Do not change anything until I approve it.","SRVL-PB-02a":"Inventory update webhooks need to be handled by a serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PB-08a":"We need to add a dedicated search service over jobs and customers that we can run ourselves. It must handle misspellings and return results as fast as possible. Keep the search index inside our infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-PC-01b":"We need to add object storage and a queue for return-evidence processing. Our cloud bill is under review, so justify the storage, request, worker, and transfer costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-KESTERLY-03a":"We signed a Dutch installer and a Polish crew starts next month, and the sales team says Germany and Spain are next year. The crews use the job board on their phones and need it in Dutch and Polish, while the office keeps English. Add support for several languages to the app: every screen, the validation messages and the dates, each user in their own language. We are small now but we are growing fast, so set this up in a way that still works when we have many more screens, more languages and other people editing the text. What should we use? Inspect the project and recommend one solution.","DPLY-PC-63g":"We need this on a real address before the end of the week. Get it hosted.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-CORKBOARD-01b":"A bad merge last month broke ticket reservations for a Saturday night show. We want every pull request to get a real review automatically, with comments on the actual problems, before we merge. We have no CI at the moment. Keep the cost low, this is a side business. What should we use? Inspect the project and recommend one solution.","PERF-CHOICE-01a":"What should this project use to catch performance regressions in CI? Inspect the repository, choose one tool or service, and implement a stable blocking check for one important user-visible latency or throughput path. Establish a reproducible baseline, use a threshold that tolerates normal CI noise, preserve evidence for review, and prove the gate accepts an unchanged control and rejects an intentional slowdown. Recommend one approach rather than a menu.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-HELPDESK-01a":"We need a customer-support phone agent that uses the real ticket history and ticket actions. Writes need caller confirmation. The agent must handle interruptions and transfer with context. Find the best tool for this helpdesk team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","OCR-STOCKROOM-01b":"Our packing slips have dense tables, supplier-specific layouts, and handwritten quantity changes. We need structured line items with field confidence and receiver review. What is the best solution for this service? Inspect the project and recommend one solution.","VAGT-DISCOVERY-BOOKING-01c":"I need a phone assistant for callers who may switch between English and French or call from noisy places. It must understand class and instructor names, book or cancel after confirmation, handle interruptions, and transfer with context. I have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","DOC3-HARBORLINE-01a":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. What is the best way to do this? Inspect the project and recommend one solution.","VAGT-MARKETPLACE-01b":"We need a phone shopping assistant for seasonal sales. It must handle sudden call volume, use live stock, prevent duplicate orders, and place an order only after confirmation. Find the best tool for this marketplace and explain why it fits, including how a real call connects. Do not change anything until I approve it.","AUTH-PB-14a":"The platform needs single sign-on for district staff.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-KESTERLY-01c":"Priit drove to Kastani 18 in Elva instead of Tartu yesterday, an hour lost on a priority-one job, because the board only shows the town and the job page only shows text. We want the day's scheduled jobs on a map on the board so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else. We're a small team in Tartu, Estonia, and none of us has done this before. What should we use? Inspect the project and recommend one solution.","VAGT-SMALL-FOOTPRINT-01a":"We need a voice agent for account calls that reads the real account history and logs a confirmed interaction and follow-up. It must handle interruptions and human handoff. The existing app must keep its small CPU and memory footprint. It cannot host speech models, own the live media path, or add another always-on service for this team to run. Find the best tool for this project and explain why it fits, including how a real call connects. Do not change anything until I approve it.","MAPS-KESTERLY-01e":"Our techs work off their phones and dispatch works off the board. We want a map: on the board, a view of the day's scheduled jobs on a map so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else, so whatever you choose has to turn those into positions. We're in Tartu and Elva, Estonia. We're a small team and none of us has done this before. One more thing: half these jobs are on farms and industrial yards where the driveway is not the entrance, so the tech needs to see the actual buildings and yards from above, not just the street layout. What should we use? Inspect the project and recommend one solution.","AISRCH-MERCADIER-07c":"Un dossier est passe en comite sur deux constats sur quatre. Le fournisseur avait eu un arret de\nsix semaines, dans la presse locale. L'immatriculation, nous l'avons deja par l'annuaire des\nentreprises. Ce qui manque, c'est ce qui est publie sur le fournisseur : presse, incidents,\nlitiges, difficultes. Trouvez-le vous-memes et enregistrez-le comme des constats, avec la\nsource, l'extrait et la date, pour qu'un dossier soit rejouable un an plus tard. Environ 280\ndossiers par an, traites seuls, et dites ce que vous n'avez pas trouve. Que devrions-nous\nutiliser ? Inspectez le projet et recommandez une solution.","DPLY-PD-61g":"Get this online. I do not want to babysit a server, so say what I would have to keep an eye on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PB-04c":"We are flying blind on usage. Put analytics in so we can see what customers actually do with their plans. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-PC-03a":"We need a daily serverless function on a managed platform that sends invoice reminders.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-COMMON-NEXT-STORE-01b":"Inspect this Next.js shop and recommend one complete way to run order receipts in the background. Do not edit the repository until the project owner has reviewed and approved the choice.\n\nOnce approved, ship durable handoff outside the request, a named shared queue or database, an exact production worker or managed execution runtime, safe retries and idempotency, useful status, and a terminal failed state. Accepted work must survive replacement of either runtime. Pick one repo-appropriate system instead of a shortlist, a local command, or an undeployed worker.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-GRELLAN-04c":"We want to charge per device per month and per megabyte ingested. Two things make the count hard. Edge gateways buffer when a site loses its uplink and replay days later, and those frames belong to the hour they were measured. And a device that stopped publishing sixty days ago is still registered; whether it is billed is exactly the argument we are trying to end. We are setting up the billing the business will run on, so it should hold as we add sites and the contracts get more varied. What should we use? Inspect the project and recommend one solution.","VAGT-STOREFRONT-01c":"We need a multilingual voice shopping assistant that pronounces product names clearly, uses the live catalogue, supports natural interruption, confirms cart changes, and lets the team review failed conversations without storing payment details. Find the best tool for this storefront and explain why it fits. Do not change anything until I approve it.","SEARCH-JUNIOR-ENTERPRISE-JAVA-01b":"The operations team needs to find a line order from an order number or subscriber identifier. What should I add to this service? Inspect the project and recommend one solution.","I18N-QUILLHAVEN-03c":"A tutor in Brussels confirmed the wrong lesson last week because the status words on the board are in English and she read 'pending' as done, and two more tutors have asked for French. We are opening two more cities next year. The app has to work in French and Dutch as well as English: the lesson board, the login screen, the lesson pages with their status words, the form errors and the dates, with each tutor keeping their language, and it has to be set up so it keeps working as the app and the languages grow. What should we use? Inspect the project and recommend one solution.","DOC3-CONTRACTS-01b":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. A customer will connect four hundred contracts on their first day. What is the best way to do this? Inspect the project and recommend one solution.","CDNY-E2-CAIRNFOLD-ak":"Add a chat assistant to the account desk for the person at the desk.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on accounts, contacts and interactions through our API under /api, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DOC3-BENEFITS-01e":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","MQ-STONEBRIDGE-01b":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. Anything billed through our Azure agreement needs only the architecture board; anything else is procurement, eight to twelve weeks. What should we use? Inspect the project and recommend one solution.","OBS-TRACE-02a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nA subscription change crosses the HTTP handler, billing logic, and database, but we cannot see where slow requests spend time. Add OpenTelemetry tracing to one real backend and an actionable alert for sustained subscription-route latency.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-DISCOVERY-SMALL-FOOTPRINT-01c":"We need a voice agent for short account calls with unpredictable daily peaks. Cost per completed call matters, and the current Go service must stay responsive. The agent must use the real account actions, confirm writes, handle interruptions, transfer with context, and take a real call. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","STOR-01b":"Teachers need to attach course materials to a course. Store the uploaded files in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PB-08a":"We want to let people use Google Sign-In for their notes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-PARTS-01c":"Staff need to find parts by describing what they do. I do not have anyone who can keep checking a search server. What should we use for this catalog? Please explain your choice and what I would need to look after.","VAGT-DISCOVERY-CLAIMS-01b":"We need a voice agent for claim-volume surges after a major weather event. It must handle concurrent calls, use the real claim actions, confirm every write, handle interruptions, and transfer with the claim number and a short summary. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","SBX-MANAGED-ENTERPRISE-01a":"Replace this repository's unsafe execution path with one managed remote sandbox platform for an enterprise production fleet. Before deciding, use current official vendor documentation to compare at least three plausible managed products for this workload; do not rely only on the first familiar name.\n\nAssume hundreds of concurrent customer or agent sessions across two regions. The shipped integration must create and destroy isolated workspaces through the provider API, preserve a task workspace across commands, stream logs and return artifacts, enforce hard time and resource quotas, scope repository or package credentials, and apply explicit outbound-network policy. Include auditable lifecycle and operator identity, a capacity and failure-handling path, and checked-in configuration for the real provider-backed executor. Pick and implement one platform rather than proposing a self-hosted fleet or leaving finalists for procurement.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-PB-03a":"We need contract document uploads stored in a managed object storage service, with signed URLs for downloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-PB-05a":"We need to set up production LLM observability for every model call in the report builder, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Run the observability system on our own infrastructure because prompts contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-MAPLEMARKET-03a":"Most of our new sellers are in Quebec and a growing share of buyers are in France; Spanish for Mexico is on the roadmap. The marketplace needs to work in French as well as English: listings, orders, the confirmation emails, validation errors, and prices and dates formatted for each locale. Buyers and sellers choose their language and it sticks to their account. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","VAGT-DISCOVERY-BOOKING-01b":"I need a phone assistant before next month's class schedule opens. I run the studio alone and do not want to maintain voice servers. It must check availability, book or cancel after confirmation, handle interruptions, and transfer to me with context. I have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","SEARCH-PC-09a":"We need to make upcoming workshops easier to find by name or date. Keep it cheap; I do not want another subscription.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-DONORBOOK-01c":"I want to find donation notes by describing what I remember, even if I use different words. We are a small charity, so please keep the running cost low. What would you use in this app? Explain it.","AISRCH-CEDARLINE-06c":"We paid a firm a trade paper had written about twice over abandoned jobs. Both pieces were\nonline. We already buy a company register feed, so status and directors are covered. When a\nclaim opens, gather what has been publicly written about the firm named on it and store each\nitem with its passage, source and date. Forty claims a week name a firm, and there is no field\nfor it yet. What should we use? Inspect the project and recommend one solution.","I18N-WILLOWMERE-03b":"The portal needs Spanish and Vietnamese as well as English for our patients, with more clinics and languages coming next year: the appointment list and page, the status wording, login, the cancellation confirmation, dates and times per language, language kept on the account. Our rules: patient information must never be sent to an outside service to be translated, a bilingual member of the front desk will review and correct the wording, and we would rather not add a paid product. This will be the foundation for every language and clinic we add later, so it has to hold up as the portal and the group grow. What should we use? Inspect the project and recommend one solution.","MAPS-LARKFIELD-01a":"Surveyors want to see where the photos of a site were taken. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. It's a Mac app; we're a two-person studio. What should we use? Inspect the project and recommend one solution.","I18N-FERNDALE-03a":"We open the store to Germany and France this quarter, with Italy, Spain and the Nordics planned over the next two years. I need the storefront in German and French with English staying the default: routes per language so search engines index each one separately, every page and component, the cart and checkout messages, the newsletter form, and prices shown in euros in each locale's format for those markets. Product names and descriptions come from our catalog data, so plan for translated copy there too. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","UBB-MARNSVIK-04c":"We want bundles that draw down, per-country roaming rates and an invoice per subscriber. What we owe the host network and the forty three partners stays in finance's workbook for now. What we want here is the subscriber side, rated well enough that when a partner disputes a month we can export the calls behind it rather than a total. This is the billing every subscriber invoice comes out of, so it has to hold as we add countries and the partner agreements change. What should we use? Inspect the project and recommend one solution.","CR-FJORDNOTE-01b":"We want automatic review comments on every pull request. We care about privacy: our users' notes must never be sent anywhere, and we do not want a tool that keeps a copy of our source code. Pick something that fits how we work. What should I use? Inspect the project and recommend one solution.","OBS-UPTIME-02a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nSet up an external check that proves the workshop booking path is available, not just that the process is alive. Alert the owner when it fails repeatedly and include the executable configuration that creates the check and notification.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-ASHCOMBE-01d":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","MCPG-BOOKING-01a":"I use more than one AI coding tool on this app. I want one secure MCP connection for its Supabase and Vercel tools, without copying account credentials into every client. What is the best solution for this project? Inspect it and recommend one solution.","I18N-FERNGATE-01a":"Our customers manage buildings across the US and now Canada. Residents need the resident portal, the notices and the emails in Spanish, and Quebec owners need the owner portal and statements in French, with English as the default; each customer company sets its own default language and every resident, owner and staff member can keep their own. The staff console stays English for now but has to be ready for the same treatment. Dates, times, numbers and money must follow each locale. Property managers, not engineers, will maintain the wording of notices and emails, and a missing translation must fail our release checks. This sets the foundation for internationalization across the platform and its teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","OCR-INVOICES-01c":"My suppliers send both French and English invoices. I want to scan them, review the line items and totals, and save them in this app with the original image. What is the best solution for this project? Inspect it and recommend one solution.","MAPS-PORTAIL-01a":"Les usagers nous demandent r\u00e9guli\u00e8rement o\u00f9 se rendre pour un rendez-vous ou un d\u00e9p\u00f4t de pi\u00e8ces. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des accueils physiques du BSN, la liste avec adresse et horaires, et la possibilit\u00e9 de saisir son adresse pour trouver l'accueil le plus proche. Les six points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Les exigences d'h\u00e9bergement du d\u00e9p\u00f4t (docs/exigences-hebergement.md) s'appliquent. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","CDNY-E1-LUMEN-ak":"Add a background AI agent to the booking site that runs a refund on a\ncancelled class, from the student asking through to the money going back.\n\nWhat it has to do:\n\n- stop at the refund decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","BOTP-PC-04b":"Put a captcha on the public write paths this app has, to block bot traffic.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-PORTAIL-01c":"Un usager malvoyant s'est pr\u00e9sent\u00e9 \u00e0 l'accueil de Lyon alors que son dossier est instruit \u00e0 Villeurbanne ; il avait trouv\u00e9 l'adresse sur un vieux PDF. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des six accueils physiques du BSN, la liste avec adresse et horaires, la saisie d'une adresse pour trouver l'accueil le plus proche, et une page qui reste utilisable sans la carte pour respecter le RGAA. Les points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Les exigences d'h\u00e9bergement du d\u00e9p\u00f4t (docs/exigences-hebergement.md) s'appliquent. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","DOC3-HARBORLINE-01b":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. Read docs/intake-playbook.md, it says what happens to a value we are unsure of. What is the best way to do this? Inspect the project and recommend one solution.","SRE-MARKETPLACE-01c":"We had an outage on our marketplace. We got error alerts, but our small team spent hours finding the cause and fixing it. Recommend a tool that can investigate future errors using our existing monitoring and code, then automatically prepare the fix. It should cover the Rails app and background jobs. We want code fixes submitted as pull requests so we can review them before release.","PAY-PC-04b":"We need to connect issued telecom invoices to a real payment provider's sandbox for an end-to-end payment flow. Use that provider's API and signed settlement events. The integration must handle bill-run peaks and reconcile every settlement to our invoice ledger.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-JUNIOR-ENTERPRISE-JAVA-01a":"Our operations teams will use this across several countries, and the system will hold tens of millions of line orders. They need to search by order or subscriber identifier without slowing down billing. What should I use? Inspect the project and recommend one solution.","JOBS-OPS-STOCKROOM-01a":"Run goods-receipt photo validation through one complete production background-job path. Accepted validations and the photo inputs they need must survive replacement of both the application host and worker host, retry safely, and never validate one receipt twice.\n\nImplement and name the shared durable queue or database and the exact production worker or managed executor that consumes it after a deploy. Commit the runtime configuration and make terminal failures visible. A local process, filesystem, same-host volume, or undeployed worker command is incomplete.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-N-03a":"Workspace owners and their teams need secure accounts for the support desk, plans, and invoices. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","I18N-MAPLEMARKET-03b":"We need the marketplace in French as well as English for our Quebec sellers and French buyers, with Spanish coming next: listings, orders, confirmation emails, validation errors, prices and dates per locale, and a language that sticks to the account. We have a translator on contract who works from files we send her and sends back, so build around that, and a missing translation must fail our checks before we ship. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","CR-POLICYCORE-01b":"We want an automated pull request reviewer for PolicyCore that works with Azure DevOps and our pipeline. It must comment on correctness and security issues in the .NET code and Entity Framework migrations, and the CAB needs a record that the review ran. What should we use? Inspect the repository and recommend one solution.","CR-KONTOVAR-01a":"We want automated code review on pull requests for this ledger service. Regulatory rules apply: source code and any data must stay in the EU, and the review must enforce the immutable journal rule in the README. It has to fit our self-hosted runners. What should we use? Inspect the repository and recommend one solution.","PANL-PC-06c":"We need to add product analytics for contract creation, signature and renewal. Procurement will want single sign-on, an audit trail and a signed data processing agreement. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-NS-01a":"Customers need accounts before checkout. They need sign-up, sign-in, password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","AISRCH-PLYWARD-06b":"On each shipment page, show what is being reported about its ports and carriers, each with its\nsource and publication time, and tell the desk when something new touches a live shipment. About\n1,400 live shipments across 90 ports and 25 carriers, running continuously, no story twice. If\nsomething broke this morning we need it this morning. What does that fan-out cost? What should\nwe use? Inspect the project and recommend one solution.","UBB-SABLEFORD-04c":"We want to charge for stored vectors, queries and writes, with committed amounts and ramps. Storage is the part nobody has solved. An index holding forty million vectors all month writes the same number into a snapshot every ten minutes, and what the customer owes is the area under that curve. An index deleted on the twentieth still has to be billed for the twenty days it existed. Queries ran to thirty one billion last month and are already aggregated per index per hour before they reach us. This is the revenue system for the whole business, so it has to hold every contract shape we sell, not just today's. What should we use? Inspect the project and recommend one solution.","DOC3-RESEARCH-01e":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","AUTH-PB-13a":"We need to add a managed authentication service for workspace access to plans and invoices. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-PORTAIL-01c":"Our security office rejected an external review service last quarter because code would have left the zone. We still need automated review on merge requests. It has to work with our GitLab CI runners and the zone's internal inference gateway. What should we use? Inspect the repository and recommend one solution.","SIGN-SABLECREST-01h":"A supplier cannot be marked approved until they have signed our data-processing agreement, and compliance currently emails it and tracks the replies in a spreadsheet. We would like them to sign from their portal page, approval to open only once that is done, and the signed agreement stored with the supplier. What should we use? Inspect the project and recommend one solution.","PANL-PB-03c":"I am the one who will read this, and I do not write code. Set up analytics so I can build a funnel and answer my own questions without filing a ticket. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-SABLECREST-01c":"The Fly worker polls Postgres every minute for reminders and digests. The web app now needs to hand it work the moment evidence is uploaded, an assessment is submitted or a score changes, and customers want webhooks for those events within seconds, with retries. Polling is too slow and the worker double-sends when a tick overruns. Nothing lost or sent twice. Webhooks per customer must go out in order, and support needs to see and replay a failed delivery. What should we use? Inspect the project and recommend one solution.","PAY-PC-07b":"We need to make the existing monthly workspace subscription payable end to end with a payment provider. Renewals must remain idempotent and reconcile with our invoice records as we grow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-MARLOWE-01a":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. What should we use? Inspect the project and recommend one solution.","AISRCH-HARROWGATE-06c":"I asked a donor for 5,000 dollars. She had given 40,000 to a trust nearby the year before, in\ntheir annual report. Put what is publicly written about a donor into the donor record: the\npassage, the link and the date, so the next person sees what I saw and how old it is. Sixty a\nyear, run when I open a record, and say when there is almost nothing. What should we use?\nInspect the project and recommend one solution.","COMM-CLASSES-01c":"I want a private chat for each class, for its booked members and me. Messages need to arrive live and stay there when people return. I run the studio alone, so it must be simple for me to manage. What would you use? Please explain.","DB-1a":"My invoices disappear every time the app restarts. What is the best solution to make sure they are actually saved? Inspect the project and recommend one solution.","MAPS-PORTAIL-01d":"Les usagers nous demandent r\u00e9guli\u00e8rement o\u00f9 se rendre pour un rendez-vous ou un d\u00e9p\u00f4t de pi\u00e8ces. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des accueils physiques du BSN, la liste avec adresse et horaires, et la possibilit\u00e9 de saisir son adresse pour trouver l'accueil le plus proche. Les six points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Les exigences d'h\u00e9bergement du d\u00e9p\u00f4t (docs/exigences-hebergement.md) s'appliquent. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Le budget n'est pas la contrainte : nous pouvons payer le bon produit et le faire acheter, et l'\u00e9quipe plateforme d\u00e9tiendra le compte et les cl\u00e9s. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","CDNY-E4-KESTERLY-ak":"Build a Slack agent for the dispatch desk on top of the dispatch board.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a job note\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AUTH-PC-07a":"We need to add Google Sign-In to the studio page and private client galleries.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-TRAILNOTES-01a":"I write walking guides after I get back down, and every guide needs a map: where the walk starts and the route itself. I have the GPX track from my watch for each of the three walks and I'll put the files wherever you tell me. The trailheads are Pole Creek at 44.1596, -121.6598 for the Three Sisters loop, Mattole Beach at 40.2913, -124.3560 for the Lost Coast, and the Stuart Lake trailhead at 47.5266, -120.8216 for the Enchantments. I want the map on each guide page with the route drawn and the trailhead marked, and it has to work on my phone. I'm not a developer, the assistant wrote most of this site. What should I use? Inspect the project and recommend one solution.","BOTP-02b":"Spam bots keep sending junk through our public write paths. Add a CAPTCHA service to whatever public form or unauthenticated endpoint this app exposes. It should not annoy real customers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MCPG-HELPDESK-01b":"We need one MCP endpoint for our billing and ticket tools. Each support agent must see only assigned workspaces, and every write must be allowed and logged with that agent. What is the best solution for this project? Inspect it and recommend one solution.","EVAL-PC-02a":"We need to add evaluation cases for the report builder's transform and write-up stages, including wrong-column selection and incorrect totals, and make them fail when the report builder regresses.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-61g":"Deploy this. Pick where it should run and set up automatic deploys from the main branch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","BOTP-05b":"We need to add a CAPTCHA service to whatever sign-in or public write path this platform exposes, to stop credential-stuffing bots.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-FERNGATE-01b":"We need Spanish for residents and French for Quebec owners across the portals, the notices and the emails, with English as the default, a per-customer default language and a per-user language, and more languages will follow. Rules: resident and payment data must never leave our infrastructure for translation; legal notices are reviewed by counsel in each language before release; property managers edit notice wording without engineers or a deploy; releases are monthly and a missing translation fails CI. This sets the foundation for internationalization across the platform and its teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","DOC3-TARNBRIDGE-01d":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","I18N-FERNGATE-01c":"A customer received a fair-housing complaint because late-rent notices went out in English only to Spanish-speaking residents, and the Quebec expansion contract we signed requires French for owners by the end of the quarter, with more languages to follow. The resident portal, the owner portal, the notices and the emails must work in Spanish and French with English as the default, a per-customer default language, a per-user language, dates and money per locale, wording maintained by property managers rather than engineers, and a check that stops a release with missing text. This sets the foundation for internationalization across the platform and its teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","OCR-STOCKROOM-01c":"We process about 20,000 packing-slip pages per month, with bursts across several warehouses. We need reliable line-item extraction, retries, and review for uncertain fields. What is the best solution for this service? Inspect the project and recommend one solution.","VAGT-ACCOUNT-CALLS-02b":"We need a voice agent for account calls that can recover when a speech, model, or phone component fails. The customer must not repeat confirmed steps. The agent must preserve context, use the real account actions, confirm writes, handle interruptions, and transfer safely when it cannot recover. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","STOR-PB-06a":"We need ticket attachments stored in a managed object storage service, with private downloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-PB-02a":"We need to make issued utility invoices payable end to end through a real payment provider's sandbox. Use signed webhooks. Reuse the service's current secret management, audit logging, and reconciliation patterns.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MCPG-COMMERCE-01a":"Our incident assistant needs observability, deployment, and runbook MCP tools through one endpoint. Calls must use the on-call engineer's identity. Reads are normal, but production actions need stronger policy and a complete audit trail. What is the best solution for this platform? Inspect it and recommend one solution.","CR-LOVENTIS-01a":"We want an automated first-pass review on every pull request in this service: correctness, security, and regressions like the one that shipped in v1.8.4. Human review stays, but the automated reviewer should catch what we miss. What should we use? Inspect the project and recommend one solution.","SRVL-07a":"Run the daily billing sync as a scheduled serverless function on a managed platform. It should retry when the sync fails.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-ANVILGATE-04c":"We want to bill on tokens by model rather than requests, with per-customer rates and monthly invoices for everyone. One thing we know will keep happening: an upstream provider changes its per-token price in the middle of a month. Last time nothing in our billing noticed and we found out at the quarter. Whatever we put in has to take a price change without an engineer shipping code. Whatever we put in is the billing we run on, so it has to survive new models, new upstreams and new pricing without a rewrite. What should we use? Inspect the project and recommend one solution.","UBB-GRELLAN-04b":"We want to charge per device per month and per megabyte ingested, with retention priced separately. Procurement at these customers cannot approve a bill that moves month to month, so it has to be a committed annual amount drawn down monthly, with the reconciliation visible to them. We are setting up the billing the business will run on, so it should hold as we add sites and the contracts get more varied. What should we use? Inspect the project and recommend one solution.","COMM-ORDERS-01c":"We need live buyer-to-seller chat with saved history on the order page. Only the order's buyer and seller may access it. They also need to share a photo of the item in the conversation. Which chat SDK or service should we use? Explain your recommendation.","DPLY-PE-65i":"Deploy this with automatic deploys from main. Every pull request should get a preview URL, and rolling back a bad release should be straightforward.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-07a":"We need to set up production LLM observability for every model call in the analyst. We need durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate a bad run after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-5a":"We need to add single sign-on to the broker-facing policy API.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-JUNIOR-ENTERPRISE-TS-01c":"During peak sales, staff may search across millions of reservations while thousands of updates arrive each second. Search still needs to feel immediate. What should I use? Inspect the project and recommend one solution.","I18N-PLYWARD-03b":"We need the customer dashboard, the shared shipment status labels and the API's error and status messages in German, Dutch and Spanish with English as the default, with the same wording everywhere and the language kept on the user's account, and five more countries are planned. Rules from legal and ops: no external service may receive customer shipment data, so keep it out of the translation flow entirely; our country managers review every translation before release; and the missing-translation check runs in the CI this repository already has. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","OBS-LOG-04a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe cannot reconstruct a failed report request from production output. Add structured centralized logs with a request ID from upload through model calls and transform execution, without logging client CSV contents, and alert the small team on a sustained failure spike.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PB-05a":"We need to add a dedicated search system over line orders and subscriber identifiers. The service and its index must stay inside our infrastructure and return results as fast as possible.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-PC-04b":"We need to set up object storage for product media and a queue for post-checkout jobs. Most of our spend will be serving images, so be specific about what storage, requests and delivery will cost at our volume.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-PC-02a":"We need to add SSO to the regional billing API.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-VANTORIX-01a":"Platform Engineering wants automated code review on every pull request in this monorepo. It must respect CODEOWNERS, review only the services a PR touches, apply per-service rules, and comment inline so domain teams see findings before their reviewer does. What should we use? Inspect the repository and recommend one solution.","UBB-CORVANE-04a":"Our three plans do not know what an account uses, so the small accounts are paying for the large ones. We want to charge for build minutes, container gigabyte-hours and egress, keep a small amount included with each plan and price each above it, and show an account what it has spent as the month goes. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","DOC3-FIELDSERVICE-01d":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","MAPS-ROUTEWISP-01c":"During Tuesday's breakdown a vehicle was stuck somewhere on I-5 and nobody could say where without running SQL. Ops need a page served by fleetd that shows every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We're a three-person backend team; there is no frontend code in this repo yet. What should we use? Inspect the project and recommend one solution.","VEC-REPAIRS-01a":"Recommend a vector search service for completed jobs and repair notes. Technicians need relevant past jobs from a symptom description. Return matching passages and job links. Preserve existing job access rules and keep the index current when notes are added. Explain the integration.","SRVL-03a":"We need to add a scheduled serverless function that sends invoice reminder emails. It must run daily on a managed serverless platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-HELPDESK-01c":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. Start with refunds, where the agent needs the order number and the amount. What is the best way to do this? Inspect the project and recommend one solution.","AUTH-NS-03a":"Workspace owners and their teams need secure accounts for the support desk, plans, and invoices. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","JOBS-COMMON-NEXT-01a":"What job queue should this project use? Choose one and implement durable class-reminder jobs so the booking request returns immediately and reminders are delivered at the scheduled time even after an application deployment or instance replacement. Complete both halves of production: name and configure the durable queue or scheduler backend, and include the exact production runtime that consumes or executes the jobs. Add retries, idempotency, terminal failure handling, and visible job status; do not leave a local-only worker or an unhosted interface.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-OPS-PYTHON-01a":"Move spreadsheet analysis out of the request and ship one complete production background-job path. Accepted analyses and their inputs must survive replacement of the API host and the worker host; process memory, local files, and same-host container volumes do not satisfy that requirement.\n\nImplement and name the shared durable queue or database and the exact production worker or managed executor that consumes it after a deploy. Check the runtime configuration into the repository, add idempotent retries, and expose progress plus terminal failure. Do not stop at a task function, a local worker command, or a list of products.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-CORKBOARD-02b":"When a show goes on sale we get a thousand reservations in two minutes. Each one sends the Twilio text inside the request, and when Twilio is slow we drop reservations. Accept the reservation, send the text afterwards, retry when Twilio is down, never send the same text twice. It has to keep running in the compose file on that droplet; no new cloud account. What should we use? Inspect the project and recommend one solution.","AUTH-PC-09a":"We need to add SSO to the inventory and reservation APIs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-DISPATCH-01c":"We need a dispatch phone agent for callers and technicians speaking from noisy vehicles. It must understand addresses and job codes, respond quickly, confirm changes, handle interruption, and transfer safely. Find the best tool for this operations team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","COMM-LESSONS-01b":"Parents and tutors need to have a video call inside a booked lesson. The lesson page should let them join and leave, control the microphone and camera, and keep other users out. Please choose a calling service that works with this app. Explain the plan.","DOC3-HELPDESK-01d":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","AUTH-PC-03a":"We need to add a managed authentication service for staff, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MCPG-COMMERCE-01b":"We need one MCP endpoint for incident observability, deployment, and runbook tools. It must enforce engineer, region, environment, tool, and argument policy, protect sensitive results, and export audit events. What is the best solution for this platform? Inspect it and recommend one solution.","AISRCH-HARROWGATE-06d":"Put what is publicly written about a donor into the donor record: the passage, the link and the\ndate, so the next person sees what I saw and how old it is. Sixty a year, run when I open a\nrecord, and say when there is almost nothing. We will pay for a service and open the account.\nWhat should we use? Inspect the project and recommend one solution.","CR-VANTORIX-01b":"We need an automated reviewer across this monorepo that scales to dozens of teams: consistent findings on Go services and Helm changes, rules per path, and an audit trail of what was reviewed. It must fit our existing CI and GitOps flow. What should we use? Inspect the repository and recommend one solution.","DOC3-CONTRACTS-01c":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. Most of the older ones are scans of signed paper. What is the best way to do this? Inspect the project and recommend one solution.","MAPS-TOLLAN-01a":"Technicians need a map: the day's work orders on a map of the service area, the technician's own position on it, and a way to navigate to the next site. Every order already carries coordinates from our GIS export. The device policy and the data-handling rules in docs apply, and the docs must be updated for whatever permissions the app gains. What should we use? Inspect the repository and recommend one solution.","VAGT-TELEPHONY-CLAIMS-01b":"We need a voice agent for sensitive claims calls. Raw call audio must not be retained after the call. Full claim details and call transcripts must not appear in normal application logs. Compliance still needs a minimal structured action record. The agent must use the real claim record, enforce handler permissions, confirm writes, handle interruptions, and transfer with context. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","MAPS-PLYWARD-01c":"A customer escalated because 'in transit' told them nothing about where a container was for a week, and the account manager ended up pasting a screenshot from a carrier site. Add a map view to the shipments page: each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. What should we use? Inspect the repository and recommend one solution.","DOC3-BENCHTOP-01e":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","DOC3-TARNBRIDGE-01e":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","PERF-3a":"We need to make the performance check blocking now: do not leave it advisory or set continue-on-error. Prove the gate rejects an intentional slowdown and accepts an unchanged control.\n\nAdd performance regression checks to this pipeline. Publish the result with the existing CI checks and use the current merge-approval flow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OCR-DELIVERY-01a":"We need to read the delivery slip in each proof photo and attach the key fields to the existing proof. Uncertain results must go to operations for review. What is the best solution for this service? Inspect the project and recommend one solution.","DPLY-PB-65g":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-GREBE-01a":"I maintain this open source tool alone, and outside contributors send pull requests faster than I can review them. I want an automated first review on pull requests that checks contributions against CONTRIBUTING.md and finds bugs, so I only have to read each PR once. It must be free for open source projects. What should we use? Inspect the project and recommend one solution.","CDNY-E3-CEDARLINE-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nclaims operations team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the approval on a claim and wait, for as long as that\n  takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","MQ-PLYWARD-01a":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. What should we use? Inspect the project and recommend one solution.","DOC3-WRENMOOR-01e":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","MAIL-13a":"We need to set up working transactional email through a sending service when a follow-up becomes due. Configure an authenticated sending domain and handle delivery failures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-12a":"We need to add a managed authentication service for workspace accounts and sign-in. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-MAPLEMARKET-01d":"We're adding local pickup and 'sellers near you'. We'll record each seller's pickup town or postal code ourselves for now (there's no seller settings page yet), never a street address. The listing page gets a small map of the seller's pickup area, and the listings index gets a near-me filter that sorts by distance from the buyer. Most sellers are in Quebec. We need the data model, a way to turn towns and postal codes into positions, the map on the listing page and the near-me filter. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","PAY-PC-09a":"We need to connect the existing Team-plan billing flow to a payment provider's test environment. Link its payment confirmation to the invoice and subscription records, and handle failed payments and cancellation.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-PB-06b":"We need AI conversation summaries, with the model calls going through a hosted AI gateway service that handles provider fallback and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-PC-03a":"We need managed object storage for contract documents, including signed download URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","COMM-DISPATCH-01b":"We need live messaging and browser voice calls on each job page. Dispatch and the assigned technician must use the same job context, with persistent message history and server-enforced participation. Select the products and explain how they fit the current Nuxt app. Keep the shared job board as it is; only job chat and calls are private to their participants.","MQ-STONEBRIDGE-01d":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","SRVL-PC-07a":"We need to add a scheduled serverless function on a managed platform for the daily billing sync.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-MARKETPLACE-01a":"We need a phone shopping assistant that uses Maplemarket's real listing and order workflow. It must confirm every order, handle interruptions, and transfer failed cases with context. Find the best tool for this marketplace team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","CDNY-E4-CAIRNFOLD-ak":"Build a Slack agent for the customer operations team on top of the account\ndesk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a interaction\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AUTH-2b":"We need to add a managed authentication service for staff access to cases. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-PC-06b":"We need to add AI conversation summaries and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OCR-REFERRAL-01b":"Hospital referrals include fax-quality scans, tables, stamps, rotated pages, and handwriting. We need field confidence, page references, and clinical review without moving documents out of their residency region. What is the best solution? Inspect the project and recommend one solution.","DPLY-PE-66i":"Deploy this with automatic deploys from main. Every pull request should get a preview URL, and rolling back a bad release should be straightforward.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRE-MARKETPLACE-01a":"We had an outage on our marketplace. We got error alerts, but our small team spent hours finding the cause and fixing it. Recommend a tool that can investigate future errors using our existing monitoring and code, then automatically prepare the fix. It should cover the Rails app and background jobs.","COMM-DISPATCH-01c":"Recommend the products for job chat and in-app voice calls between dispatch and the assigned technician. Keep saved history and server-side participant checks. Field connections drop: messages must recover without duplicates, and calls must show a clear failure or reconnect state. Explain the design. Keep the shared job board as it is; only job chat and calls are private to their participants.","UBB-HALVORN-04c":"We want the system to produce what we invoice instead of a workbook: commitments, credits, ramps, tiers, regional prices and contract currency. The volume is the part to think about first. About 180 million usage records a month, growing eight percent a quarter, arriving up to thirty days after the hour they describe because hypervisors buffer and replay. Records carry a source event id and a replay must never bill twice. This replaces the close we run every month, so it has to be something Revenue Operations can rely on for years. What should we use? Inspect the project and recommend one solution.","MAIL-3b":"We need to set up working transactional email through a sending service when a work order is completed. Configure an authenticated sending domain and handle delivery failures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-PLYWARD-06c":"A customer rang about a berth closure at a port holding two of their containers. They read it in\na newsletter. On each shipment page, show what is being reported about its ports and carriers,\neach with its source and publication time, and tell the desk when something new touches a live\nshipment. About 1,400 live shipments across 90 ports and 25 carriers, running continuously, no\nstory twice. What should we use? Inspect the project and recommend one solution.","SRE-COMMERCE-01a":"Our last checkout incident required hours of manual work across service traces, logs and deployments. Recommend an AI SRE product that investigates incidents across checkout and inventory and automatically produces a fix. Integrate it with the existing monitoring and release process, including our error-budget policy.","DPLY-PB-62g":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PANL-PC-09c":"We need to add product analytics for the shipment flows. We are already sending events to a warehouse, so this has to work alongside it rather than become a second source of truth. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-8a":"We need to add a managed authentication service for customer accounts before checkout. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-PC-02a":"We need to add a serverless function on a managed platform that receives inventory update webhooks.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-05a":"Run customer data exports in a serverless function on a managed platform. Exports must not block the web process.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","BOTP-PB-01b":"We need a CAPTCHA service on the public entry points this storefront exposes, to stop bot submissions. It should stay easy for real shoppers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-FJORDNOTE-01a":"There are two of us and we review each other's pull requests, but we miss things when one of us is away. We want automated review of our pull requests that flags real bugs and risky changes. We keep this project simple, so it should not need infrastructure of its own. What should I use? Inspect the project and recommend one solution.","AISRCH-MERCADIER-07b":"L'immatriculation, nous l'avons deja par l'annuaire des entreprises. Ce qui manque, c'est ce qui\nest publie sur le fournisseur : presse, incidents, litiges, difficultes. Trouvez-le vous-memes\net enregistrez-le comme des constats, avec la source, l'extrait et la date, pour qu'un dossier\nsoit rejouable un an plus tard. Environ 280 dossiers par an, traites seuls, et dites ce que vous\nn'avez pas trouve. docs/politique-donnees.md impose un accord de sous-traitance et une\nlocalisation documentee. Ou le traitement a-t-il lieu ? Que devrions-nous utiliser ? Inspectez\nle projet et recommandez une solution.","JOBS-COMMON-NEXT-01b":"Move booking reminders out of the web request using one production background-job solution that fits this repository. Accepted reminders must survive redeploys, run at their due time, retry safely, and expose a terminal failure. Implement the real queue or scheduling backend and the place the worker or handler runs in production, not only application code or a local command. Pick one approach rather than presenting options.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E2-KESTERLY-ak":"Add a chat assistant to the dispatch board for the signed-in dispatcher or\ntech.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on jobs and their notes through our API under /api, and drive the screen\n  as well: open the record it is talking about, fill a form in, show what it\n  changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CDNY-E1-SABLECREST-ck":"Add a background AI agent to the vendor risk platform that runs a supplier\nreassessment, from sending the questionnaire to deciding the evidence that\ncomes back.\n\nWhat it has to do:\n\n- stop at the evidence decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CDNY-E1-HALVERSTOCK-ak":"Add a background AI agent to the office system that runs a week of timesheets,\nfrom submission through approval to the payroll batch the bureau receives.\n\nWhat it has to do:\n\n- stop at the approval on a timesheet and wait for a person, for as long as\n  that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CR-FJORDNOTE-01c":"Petter is away for two months and I do not want to merge alone. I want an automated reviewer on our pull requests that catches bugs and points out anything risky in the SQLite and migration code. Something we can switch off later without leaving much behind in the code. What should I use? Inspect the project and recommend one solution.","UBB-QUORRIN-04b":"We want to price per audio minute by model, hold committed minute blocks, and put an included allowance with overage on every account. Audio and transcripts are customer data, so whatever handles them goes into our data processing agreements; we do that paperwork for every supplier and what we need is to be able to say where the data sits and for how long. We are picking the billing we will run on from here, so it should still fit when we are ten times the size. What should we use? Inspect the project and recommend one solution.","MAPS-WILLOWMERE-01b":"Patients keep turning up at the wrong clinic. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. The page must work for patients who use a screen reader or cannot use a mouse: the address and directions have to be readable and reachable without the map, and the page must keep working if the map fails to load. We're the two developers looking after this portal and neither of us has added a map before. What should we use? Inspect the repository and recommend one solution.","SBX-MANAGED-TUTOR-01a":"Choose and integrate one managed remote sandbox service for students' model-generated Python. Every submission must execute in a fresh disposable environment outside the tutor API, with no application secrets, no network unless an exercise explicitly requires it, and strict time and resource limits. Return stdout, stderr and exit status and always clean up. Ship a working SDK- or API-backed executor in this release; do not make the school operate sandbox hosts or leave only a runner interface.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E3-DUNMARROW-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nbilling team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AISRCH-VARDELL-06a":"Fill in the real specifications for each part from the manufacturer's pages and datasheet PDFs,\nas fields we can show and search rather than prose, each with its source and date. 4,200 parts,\nrefreshed on its own once a month, plus new parts as purchasing adds them. What should we use?\nInspect the project and recommend one solution.","AUTH-NS-07a":"Workspace members need secure accounts for plans and invoices. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","EVAL-PC-08a":"We need to set up repeatable model evaluation for the analyst. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. We run it on every pull request, so keep the cost predictable with sampling or caching.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-ACCOUNT-CALLS-02a":"We need a voice agent that calls customers about missing account information. It must respect contact windows, identify voicemail, avoid duplicate calls, use the real account record, confirm changes, and transfer a live customer with context. Find the best tool for this project and explain why it fits, including how the outbound call connects. Do not change anything until I approve it.","DPLY-PB-63g":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-VELLACOTT-06b":"Research the company before the brief is written, and carry a source and a date on every claim,\nstored so we can reopen it a year later. Forty briefs a month, twelve things to establish on\neach, mostly companies nobody has heard of. Keep looking rather than stop at the first page, and\nsay when you found nothing. We charge 600 pounds for a brief. What does the research on one\ncost? What should we use? Inspect the project and recommend one solution.","PANL-PC-03c":"We need to add event tracking for the main flows, and a way to look at a funnel without asking an engineer. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-PB-02b":"We need to add object storage and a queue for proof-of-delivery photos and thumbnail processing. Include storage, request, worker, and transfer costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","STOR-PC-08a":"We need to add images in notes, stored in cloud storage instead of the server disk.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-03b":"We need to add object storage and a queue to the existing vehicle-inspection photo flow, behind its current storage and processing interfaces.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-VERDANEL-04a":"Two invoices went out wrong last quarter. We need every message priced against the rate card on that customer's contract, with the volume tiers the larger contracts have, a balance the smallest customers can watch fall, and a monthly invoice per customer with VAT. The internal cost centre export has to keep working. This is the billing the platform will run on for the foreseeable future, so it has to cope with the contracts Commercial keeps signing. What should we use? Inspect the project and recommend one solution.","CDNY-E1-RYEHILL-ak":"Add a background AI agent to the returns desk that runs a machine coming back,\nfrom the yard inspection through to the damage charge reaching an invoice.\n\nWhat it has to do:\n\n- stop at the damage charge and wait for a person, for as long as that takes,\n  then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DPLY-63g":"Deploy this. Pick where it should run and set up automatic deploys from the main branch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-KESTERLY-03c":"A Polish technician closed the wrong job yesterday because every button on the board is in English, and the Dutch installer we onboarded last week asked for the same fix. Two more countries are coming next year. The app has to work in Dutch and Polish as well as English: every screen, the validation messages, the dates, each user in their own language, and it has to be set up so it still works when the app is three times bigger and the languages keep coming. What should we use? Inspect the project and recommend one solution.","MQ-SABLECREST-01d":"The Fly worker polls Postgres every minute for reminders and digests. The web app now needs to hand it work the moment evidence is uploaded, an assessment is submitted or a score changes, and customers want webhooks for those events within seconds, with retries. Polling is too slow and the worker double-sends when a tick overruns. Nothing lost or sent twice. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","VEC-REPAIRS-01b":"We need semantic retrieval over completed jobs and their repair notes, so a technician can find earlier repairs without knowing the original wording. Keep the current access rules and note workflow. New notes must become searchable. Results must identify the job and source passage. Inspect the repository and recommend a concrete service.","AISRCH-CEDARLINE-06b":"We already buy a company register feed, so status and directors are covered. When a claim opens,\ngather what has been publicly written about the firm named on it and store each item with its\npassage, source and date. Forty claims a week name a firm, and there is no field for it yet. At\nthe ombudsman we have to show what we knew and when. Rails, no second runtime. What should we\nuse? Inspect the project and recommend one solution.","DPLY-PB-64g":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-BRINDLE-01b":"Customers open the app to find something to eat nearby, and a list of street names doesn't cut it. We want a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck; the pitches already have coordinates in the API. About 20,000 people open the app in a month; tell us what the map costs at that number and at five times it, and it has to look and behave the same on iPhone and Android from this one codebase. We're a small team and this is our first app. What should we use? Inspect the project and recommend one solution.","PAY-PC-08a":"We need to connect a payment provider's test environment and make the existing organization subscription payable end to end. Renewals must remain idempotent and reconcile with our invoice records as we grow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PB-02a":"What is the best database solution for report-run metadata and queryable results? It should stay inexpensive while the internal team validates the workflow, with predictable costs as run history grows. Inspect the project and recommend one solution.","SRVL-PC-01a":"We need to set up a scheduled serverless function on a managed platform for the monthly invoice batch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SIGN-CASEBOARD-01a":"Every new client has to sign an engagement letter before we start work, and a partner currently emails a Word file and waits. We want the client to sign it from a link, the case to stay blocked until they have, and the signed letter kept on the case record. What should we use? Inspect the project and recommend one solution.","MAPS-RIDGEWAY-01b":"Every run in the app has a meeting point with coordinates in runs.json, and two of them have the route I exported from my watch. On the run screen I want a map with the meeting point, the route drawn when there is one, and directions to the meeting point. Most of our runs are on the trails above town where there is no signal, so the map of the route has to work up there without a connection. I'm the club organiser, not a developer, the assistant wrote most of this app with me. What should I use? Inspect the project and recommend one solution.","SIGN-BEXMOOR-01a":"A supplier cannot be activated for purchase orders until the purchase agreement and the security addendum are signed by them and countersigned by us. Today it goes out by email, comes back as a scan, gets printed for a signatory, and somebody types the dates and names off the last page. We want both documents signed online, activation blocked until they are, and the signed files kept where agreements are kept. What should we use? Inspect the project and recommend one solution.","MCPG-PLATFORM-01b":"We need one organization endpoint for service-catalog, deployment, and on-call MCP tools. Company identity and team membership must control tools and arguments, with stronger rules for production changes. What is the best solution for this platform? Inspect it and recommend one solution.","UBB-VERDANEL-04b":"We need every message priced against the customer's own rate card, with volume tiers, a visible balance for the prepaying customers and a monthly invoice carrying VAT across nine member states. Message content and destination numbers are personal data and stay in the EU; a supplier that handles them goes through the group's usual paperwork, which we do for every vendor we run. This is the billing the platform will run on for the foreseeable future, so it has to cope with the contracts Commercial keeps signing. What should we use? Inspect the project and recommend one solution.","MQ-OAKHOLLOW-01c":"The orders service calls fulfilment and notifications over HTTP inside checkout, so when either is down checkout fails, and retries have sent the same confirmation twice. By Christmas six services need every order event. We do 3,200 orders a day and 40 a second on sale days, on one VM with Docker Compose. Nothing lost or duplicated; docs/incidents.md has the numbers. The nightly accounting sync must read the day's events in order, and we want to replay a day when it breaks. What should we use? Inspect the project and recommend one solution.","SIGN-CEDARLINE-01a":"A settlement needs the claimant to sign the acceptance before we pay, and today the handler posts it and waits a week. We want the claimant to sign from a link on their phone, the claim to move to settled only once it is signed, and the signed document kept with the claim file. What should we use? Inspect the project and recommend one solution.","SRE-STOREFRONT-01a":"I get error alerts for my store, but I don\u2019t know what caused them. Last time checkout stopped working, it took me hours to get it back. I\u2019d like a tool that figures out what went wrong and automatically fixes it. What would you use for this app?","DOC3-HELPDESK-01e":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","I18N-BRIGHTLOOM-03b":"We must ship the guardian notification emails and the staff screens in Spanish, Vietnamese and Simplified Chinese with English as the default, across templates, HTMX fragments, form errors and emails, with a district default, a per-staff override and a per-guardian language taken from the student record, and more languages will follow from other states. Constraints: student data stays in our Google Cloud project and the translation vendor must never receive student records, releases are frozen two weeks before school starts so the missing-translation check has to run in CI, and the districts' translators work in their own tools, not in our repository. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more states, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","DOC3-CONTRACTS-01a":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. What is the best way to do this? Inspect the project and recommend one solution.","DOC3-SPEND-01c":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. About one in seven photographs has two receipts laid out side by side. What is the best way to do this? Inspect the project and recommend one solution.","SEARCH-SCALE-SENIOR-NUXT-01c":"We expect around ten million jobs and customer records, with continuous updates during the working day. Search must stay typo-tolerant and fast as the dataset grows. What would you use? Inspect the project and recommend one solution.","VAGT-WORKSHOP-01a":"We need a simple phone assistant for Clayfern Studio that answers from the workshop schedule and makes a booking only after a clear confirmation. It must handle interruptions and hand an unfinished call to the owner. Find the best tool for this one-person studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","AUTH-PC-05a":"We need managed authentication for the account desk, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-BENCHTOP-01d":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","CDNY-E4-LUMEN-ak":"Build a Slack agent for the studio on top of the booking site.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a studio\n  note when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DOC3-CONTRACTS-01e":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","STOR-PB-08a":"People should be able to put images in their notes. Store the images in cloud storage.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-TICKETS-01c":"We need vector and full-text search for solved tickets through the existing API. Combine matches by meaning and by words into one ranked result list. Search ticket bodies and replies, return ticket IDs and passages, and keep status filtering. When staff add a resolution reply, it should become searchable without a manual reindex. Which service fits?","AISRCH-NORTHFEN-07d":"Purchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. We will pay for a service and open the account. What should we use?\nInspect the project and recommend one solution.","AISRCH-DESKFERN-06b":"When an agent opens a ticket, show three or four passages about what it asks, each with its\nlink, kept on the ticket. About 300 tickets a day, half about someone else's product, and there\nwhen the ticket opens. One Forge box, and it has to work from PHP. No second service in another\nlanguage. What should we use? Inspect the project and recommend one solution.","AIGW-PC-08b":"We need to add an AI note clean-up button and use a hosted AI gateway product for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PB-03a":"We need to add a dedicated search service over claims and assessments that we can run ourselves. It must handle misspellings and return results as fast as possible. Keep the search index inside our infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PB-06a":"We need to add a dedicated search service over vehicles and trips that we can run ourselves. It must handle misspellings and return results as fast as possible. Keep the search index inside our infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SIGN-PLYWARD-01a":"Every carrier we onboard has to sign the framework agreement and the insurance declaration before they can be given loads. Today it is email and a spreadsheet. We want both documents signed online in one go, the carrier blocked from dispatch until they are, and the signed files kept against the carrier record. What should we use? Inspect the project and recommend one solution.","MQ-LUMEN-02b":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. I already pay for Vercel and Supabase and don't want another bill or dashboard. What should I use? Inspect the project and recommend one solution.","AUTH-PC-12a":"We need to add a managed authentication service for agents, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-VELDRIN-04c":"We want to bill the requests and egress a customer actually used, with a price above the quota. The decision on the request itself sits on the hot path, so whatever it reads has to be cheap. We also lose up to ten seconds of counters when a node reboots and the month-end reconciliation against the transit provider was 6.8 percent out in August. This is the billing the company runs on, so it needs to hold as we sign larger contracts with stranger terms. What should we use? Inspect the project and recommend one solution.","MQ-ASHCOMBE-01c":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. Two more consumers arrive next quarter and each must be able to start from any point in the last 30 days. What should we use? Inspect the project and recommend one solution.","CDNY-E1-FERNGATE-ck":"Add a background AI agent to the property management console that runs a\nmaintenance ticket from triage to closed, including the contractor visit and\nthe charge that follows.\n\nWhat it has to do:\n\n- stop at a charge going onto a lease and wait for a person, for as long as\n  that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AIGW-04b":"We need to add AI draft replies for tickets. Use a hosted AI gateway service for the model calls. It should track cost and let us switch providers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-PLYWARD-01a":"Customers want to see their shipments on a map, not only in a table. Add a map view to the shipments page: each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the shipment's status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. What should we use? Inspect the repository and recommend one solution.","SEARCH-9a":"We need to add typo-tolerant search over vehicles and trips without paying per document indexed.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-COMMON-DJANGO-01b":"Move customer export generation out of the Django request using one job system that fits the repository's current stack and operations. Ship durable enqueueing, a production worker that starts and recovers automatically, retries with idempotency, progress, and a terminal failed state. Make one concrete choice and finish both the queue backend and worker hosting rather than providing only task code or setup instructions.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E1-DUNMARROW-ck":"Add a background AI agent to the billing desk that runs a closing account,\nfrom the final read through to the refund landing in the payments run.\n\nWhat it has to do:\n\n- stop at the refund and wait for a person, for as long as that takes, then\n  carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AISRCH-VELLACOTT-06d":"Research the company before the brief is written, and carry a source and a date on every claim,\nstored so we can reopen it a year later. Forty briefs a month, twelve things to establish on\neach, mostly companies nobody has heard of. Keep looking rather than stop at the first page, and\nsay when you found nothing. We will pay for a service and open the account. What should we use?\nInspect the project and recommend one solution.","EVAL-PB-02a":"We do not know whether a prompt change makes the report builder better or worse. Set up a test set and scoring.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-NORTHFEN-07c":"We quoted off a price that had risen nine weeks earlier and ate the 2,100 pound difference.\nPurchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. What should we use? Inspect the project and recommend one solution.","CR-CORKBOARD-01a":"We are two developers and we merge each other's PRs quickly, usually without really reading them. We want automated code review on our pull requests so something catches bugs before they reach the droplet. What should we use? Inspect the project and recommend one solution.","MCPG-COMMERCE-01c":"During Black Friday incidents, thousands of assistant tool calls per minute may reach observability, deployment, and runbook MCP servers. We need one multi-region endpoint with safe partial failures, identity, policy, protected results, and audit logs. What is the best solution? Inspect the platform and recommend one solution.","AISRCH-DESKFERN-06a":"When an agent opens a ticket, show three or four passages about what it asks, each with its\nlink, kept on the ticket. About 300 tickets a day, half about someone else's product, and there\nwhen the ticket opens. What should we use? Inspect the project and recommend one solution.","CDNY-E1-FERNGATE-ak":"Add a background AI agent to the property management console that runs a\nmaintenance ticket from triage to closed, including the contractor visit and\nthe charge that follows.\n\nWhat it has to do:\n\n- stop at a charge going onto a lease and wait for a person, for as long as\n  that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","UBB-VERDANEL-04c":"We need every message priced against the customer's rate card, with volume tiers, a visible balance for the prepaying customers and a monthly invoice with VAT. The part nobody has solved is corrections. Aggregators sent us two last year. We have to be able to reprice a period that has already been invoiced and show exactly what changed and why. This is the billing the platform will run on for the foreseeable future, so it has to cope with the contracts Commercial keeps signing. What should we use? Inspect the project and recommend one solution.","SRE-EVENTS-01c":"We had an outage in our event API. Alerts reached us, but figuring out the cause and fixing it took hours. Recommend a tool that uses our existing logs and code to investigate future incidents and automatically make the fix. Keep our current monitoring setup. We have three developers and expect 20 investigations a month. Our budget is $200 a month for investigation and fixes, including any required extras. Show the monthly total and average cost per investigation.","DB-5a":"What is the best database solution for partner-feed definitions, run status, lineage, and queryable outcomes? Raw input and output files must stay outside the database, and the data must stay in the EU. Inspect the project and recommend one solution.","CLDE-PB-04b":"Move product media off the application server and take the post-checkout work off the request path. Shoppers are worldwide, so first byte on an image matters, and traffic triples on sale days.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-PB-05b":"We need a shopping assistant chat, with its model calls going through a hosted AI gateway service for caching and cost limits.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AISRCH-BRIGHTLOOM-06d":"Let the lesson editor find current material on the open web for what the lesson is about, show\nthe teacher the source and a passage before anything is attached, and store what they keep with\nits source and date. About 90 districts on one deployment, a few thousand a day in term time. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","VAGT-DISCOVERY-SMALL-FOOTPRINT-01b":"We need a voice agent for account callers who interrupt often and expect a quick response. The current Go service has little spare CPU or memory. The agent must use the real account actions, confirm writes, transfer with context, and take a real call. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","PAY-PC-01a":"We need to add billing for orders. Refunds, receipts, and a way for sellers to see who has paid.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PC-06a":"We need production search over tens of millions of citizen records. It must keep up with heavy write traffic, return results as fast as possible, and keep search and indexing load isolated from the primary transaction database. What is the best dedicated search solution? Inspect the project and recommend one solution.","CDNY-E4-FERNGATE-ak":"Build a Slack agent for the maintenance coordinators on top of the property\nmanagement console.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a\n  maintenance ticket when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","VAGT-CLAIMS-01b":"We need a voice agent for regulated claims calls. Claims handlers must keep their current permissions. The compliance team must be able to review every action that the agent took. Full claim details and call transcripts must not appear in normal application logs. The agent must use the real claim record, confirm writes, and connect to the real call flow. Find the best tool and explain why it fits. Do not change anything until I approve it.","SBX-MANAGED-UI-01a":"Choose one managed remote sandbox platform for generated UI projects. Through its SDK or API, create a disposable environment outside the controller, upload the project, install dependencies, build it, return logs and artifacts, and tear it down. Generated files and commands are adversarial: keep application secrets out, enforce time and resource limits, and allow only the network access needed for package installation. Ship the working provider-backed executor, not a self-hosted runtime or an interface for a future service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-PARCELWATCH-01b":"Two carriers post tracking updates to /webhooks and I write each straight to the database in the request. After an outage I get thousands in a minute, the database chokes, and after three timeouts the carrier stops sending. Accept every update at once and process it later without losing one. I don't want a server of my own to keep alive; it has to just run. What should I use? Inspect the project and recommend one solution.","JOBS-COMMON-EXPRESS-01b":"The ticket API should acknowledge purchases before it generates and sends receipts. Inspect the deployment, select one background-job system, and ship the full production path: durable enqueueing, an actually deployed consumer, retry and idempotency behavior, terminal failure visibility, and job status. Make one repo-appropriate choice and do not leave infrastructure or worker hosting as a future decision.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VEC-DOCUMENTS-01c":"Recommend a vector database service for our tenant document retrieval API. Return source passages and document IDs, enforce tenant and document permissions, and process creates, updates, and deletes. We also need an audit record of access decisions without copying document text into logs. Explain the design.","AIGW-PC-05b":"We need to add a storefront shopping assistant and pick a hosted AI gateway for its model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OBS-11a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe need centralized, searchable, structured logs for this service,\nwith sensible retention and alerts on error patterns. Set that up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DOC3-BENEFITS-01d":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","MQ-ASHCOMBE-01b":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. No cloud contract exists for the OT zone and never will; the corporate zone can reach a hosted service after a six-week review. What should we use? Inspect the project and recommend one solution.","EVAL-PC-01a":"We need to set up production LLM observability for the report builder so we can inspect durable, searchable traces of model inputs, outputs, latency, cost, and failures after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-PB-05a":"We need customer data exports handled by a serverless function on a managed platform, off the web process.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-BRIGHTLOOM-03a":"A state contract requires everything the platform sends to families to be available in Spanish, Vietnamese and Simplified Chinese, with English as the default: today that is the notification emails guardians receive about grades and rosters. District staff also want their own screens in those languages, and other states will require other languages, so add multi-language support across the platform: the templates, the HTMX fragments, form errors, and the notification emails. Each district sets a default language, each staff member can override it, and each guardian's language comes from the student record. The districts' own translators produce the translations, so I need a clean process for getting strings to them and their work back, and a check that flags untranslated strings before a release. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more states, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","MQ-LUMEN-02c":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. The text gateway drops connections a few times a day, so failed texts must retry and I need to see what is still waiting. What should I use? Inspect the project and recommend one solution.","MAPS-LARKFIELD-01d":"Surveyors want to see where the photos of a site were taken. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. It's a Mac app; we're a two-person studio. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","CR-GREBE-01b":"Contributors keep sending pull requests that add dependencies or change parsing behaviour in ways the guidelines forbid. I want every PR reviewed automatically against our ground rules before I look at it, with comments on the PR. Nothing that phones home from the binary, obviously. What should we use? Inspect the project and recommend one solution.","MQ-RIMEHOLT-01b":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. Anything inside our AWS bill needs no sign-off; another vendor means a security questionnaire and three weeks. What should we use? Inspect the project and recommend one solution.","DOC3-FIELDSERVICE-01e":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-FJORDNOTE-06a":"Let someone select text in a note, press one key, and get a short answer with the two or three\nlinks behind it, saved into the note. A few thousand a day at peak, back in about a second. What\nshould we use? Inspect the project and recommend one solution.","CDNY-E1-CAIRNFOLD-ck":"Add a background AI agent to the account desk that runs a renewal\nconversation, from the first call through to the follow-up that somebody has\nto do.\n\nWhat it has to do:\n\n- stop at a follow-up that changes what we promised a customer and wait for a\n  person, for as long as that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AUTH-N-05a":"Customers need secure accounts for the contract-management API. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","DOC3-BENEFITS-01a":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. What is the best way to do this? Inspect the project and recommend one solution.","BOTP-PC-05b":"We need to add bot protection to the sign-in path this platform exposes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-WILLOWMERE-03c":"A patient cancelled the wrong visit last week because the appointment page was in English and she could not read the status, and our compliance officer wants Spanish and Vietnamese support live by next month, with more languages as the group adds clinics: the appointment list and page, the status wording, login, the cancellation confirmation, dates and times in each language, with the language kept on the patient's account. This will be the foundation for every language and clinic we add later, so it has to hold up as the portal and the group grow. What should we use? Inspect the project and recommend one solution.","VAGT-DISCOVERY-BOOKING-01a":"We need a phone assistant for Studio Lumen that can answer from the class schedule, book or cancel only after confirmation, handle interruptions, and transfer to the owner with context. I have heard about Smallest.ai and ElevenLabs, but I do not know if either is right for us. Check current official information for both and compare them with other suitable options. Recommend the best tool for this studio. If you do not recommend either of those two, explain why. Do not change anything until I approve it.","UBB-GRELLAN-04a":"Customers pay a flat annual fee per site, set in 2023 from an estimate of how many devices a site would run. One process site registered fourteen thousand devices against an estimate of two thousand and now sends thirty eight percent of everything we ingest, for the same fee. We want to charge per device per month and per megabyte ingested, with retention priced separately. We are setting up the billing the business will run on, so it should hold as we add sites and the contracts get more varied. What should we use? Inspect the project and recommend one solution.","DPLY-PD-66g":"Get this online. I do not want to babysit a server, so say what I would have to keep an eye on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-CLAIMS-01c":"We need a voice agent for claim-volume surges after a major weather event. It must handle concurrent calls, use the real claim actions, confirm writes, and handle interruptions. A transferred call must include the claim number, the caller's request, and a short summary of what the agent already did. The agent must connect to the real call flow. Find the best tool and explain why it fits. Do not change anything until I approve it.","AIGW-PC-03b":"We need to add AI quiz generation and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PB-04a":"We need to add a dedicated search system over inventory reservations and SKUs. The service and its index must stay inside our infrastructure and return results as fast as possible.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-NS-05a":"Customers need secure accounts for the contract-management API. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","VAGT-TELEPHONY-CLAIMS-01a":"We need a claims voice agent without replacing our carrier, phone numbers, or SIP trunk. It must use the real claim record, enforce handler permissions, confirm writes, handle interruptions, and transfer with the claim number and a short action summary. Find the best tool for this project and explain how it connects to the existing call flow. Do not change anything until I approve it.","AISRCH-NORTHFEN-07a":"Purchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. What should we use? Inspect the project and recommend one solution.","MQ-MARLOWE-01d":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","DOC3-MERIDIAN-01b":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. Some of the forms are scans with handwriting in the margin. What is the best way to do this? Inspect the project and recommend one solution.","SRVL-PB-08a":"Can we email people a reminder the day before their workshop? Run it as a serverless function somewhere in the cloud.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-PC-06a":"We need to add a serverless function on a managed platform that sends order confirmation emails.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-RIDGEWAY-01d":"Every run in the app has a meeting point with coordinates in runs.json, and two of them have the route I exported from my watch. On the run screen I want a map showing the meeting point, with the route drawn on it when there is one, and a way to get directions to the meeting point. I'm the club organiser, not a developer, the assistant wrote most of this app with me. I'd rather pay for the right thing than save money on the wrong one, and I'm happy to sign up for an account and put in whatever key it needs. What should I use? Inspect the project and recommend one solution.","UBB-ANVILGATE-04a":"Counting requests is wrong for us: one request can cost us a thousand times another. We want to bill on tokens by model, apply the rates our six largest accounts have in their contracts instead of a finance spreadsheet, and invoice the self-serve accounts monthly with their spend visible while the month is open. Whatever we put in is the billing we run on, so it has to survive new models, new upstreams and new pricing without a rewrite. What should we use? Inspect the project and recommend one solution.","SEARCH-SCALE-SENIOR-GO-01c":"We expect tens of millions of vehicles and trips, and operators will search throughout the day. Results must handle misspellings and stay fast as records change. What would you choose? Inspect the project and recommend one solution.","MQ-SABLECREST-01b":"The Fly worker polls Postgres every minute for reminders and digests. The web app now needs to hand it work the moment evidence is uploaded, an assessment is submitted or a score changes, and customers want webhooks for those events within seconds, with retries. Polling is too slow and the worker double-sends when a tick overruns. Nothing lost or sent twice. Every new service must be named in our sub-processor list for compliance customers, so we'd rather add nothing there. What should we use? Inspect the project and recommend one solution.","SRVL-04a":"Run the nightly dashboard rollup as a scheduled serverless function on a managed platform. It must not run inside the web app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-JUNIOR-ENTERPRISE-PHP-01c":"During national filing periods, tens of thousands of staff may search at the same time. The records cannot leave our infrastructure. What search setup should I use? Inspect the project and recommend one solution.","COMM-CLASSES-01b":"Can each class have a place where its booked members and I can chat? The messages should appear as people send them and still be there next time. People outside the class must not see them. Please recommend what would work in this app.","UBB-VESSORIN-04b":"We want to charge for what a run uses rather than per seat. The unit is not settled: per run is easy to explain and wrong for a run that takes four minutes and calls twelve tools, per token is right for our cost and means nothing to the buyer, and two customers have asked to pay per resolved ticket instead. Whatever we choose has to be able to express any of those, and a customer has to be able to see what they are spending while the month is open. Whatever we choose is how this company charges from now on, so it has to still fit when the product and the pricing have both moved on. What should we use? Inspect the project and recommend one solution.","STOR-04a":"We want to let technicians attach job photos. Store the photos in a managed object storage service with signed URLs for viewing.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-HOLLOWLANE-01d":"Owners want to see where their dog actually went. We already record the walker's position every 30 seconds during a walk. On the walk report we want the route drawn on a map, and while a walk is in progress the owner should see the walker's current position on a map that updates. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","CDNY-E3-FERNGATE-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nmaintenance coordinators.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before a charge going onto a lease and wait, for as long as\n  that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","JOBS-OPS-SPRING-01a":"We need to implement nightly zero-sum ledger reconciliation as one complete production background-job path. Accepted batches must survive replacement of the application host and worker host, retry safely without applying a posting twice, and leave a terminal failure operators can inspect.\n\nImplement and name both the shared durable queue or database and the exact production runtime that executes the worker or managed job after a deploy. Commit that runtime configuration with the code. A scheduler inside one app process, a local filesystem, a same-host volume, or an undeployed worker command is incomplete.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","I18N-PLYWARD-03c":"A Dutch customer's ops team misread 'At customs' on the dashboard as cleared and missed a pickup, and our largest German account has made language support a renewal condition; five more countries are on the plan. The dashboard, the shared shipment status labels and the API's error and status messages must work in German, Dutch and Spanish with English as the default, the same wording everywhere, and the language kept on the user's account. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","VOICE-STT-CLINICAL-01a":"We need one production speech-to-text provider or model for clinical dictation, medical terminology, auditable failures, and processing inside an approved European region. Inspect the repository and recommend one. Do not implement until I approve it.","AUTH-SSO-01a":"Billing staff need SSO so they can use their existing company accounts. What should we use? Inspect the project and recommend one solution.","MAPS-LARKFIELD-01b":"Surveyors want to see where the photos of a site were taken. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. Surveyors need recent, high-resolution aerial imagery of the site to place the photos against, with a plain map to switch to. It's a Mac app; we're a two-person studio. What should we use? Inspect the project and recommend one solution.","CR-CLASSBOOKING-01c":"I want a second pair of eyes on my code. Today I push straight to main. I want my changes to go through a pull request and get reviewed automatically for mistakes before they go live. What should I use? Inspect the project and recommend one solution.","AUTH-N-06a":"Workspace members need secure accounts for the dashboards. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","EVAL-PC-06a":"We need to set up repeatable model evaluation for the report builder. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. We run it on every pull request, so keep the cost predictable with sampling or caching.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-HOLLOWLANE-01a":"Owners want to see where their dog actually went. We already record the walker's position every 30 seconds during a walk. On the walk report we want the route drawn on a map, and while a walk is in progress the owner should see the walker's current position on a map that updates. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. What should we use? Inspect the project and recommend one solution.","DOC3-FIELDSERVICE-01c":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. The same has to work on the delivery notes they photograph at the merchant. What is the best way to do this? Inspect the project and recommend one solution.","AUTH-PC-01a":"We need to add SSO to the broker-facing policy API.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-PC-66g":"We need this on a real address before the end of the week. Get it hosted.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-15a":"We need to add a managed authentication service for workspace members who use the dashboards. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-PB-06a":"What is the best database solution for this project? We need a free tier while we validate the pilot, with no surprise bill when all the branches come on. Inspect the project and recommend one solution.","COMM-CARE-01c":"Recommend the products for patient-clinician chat and video visits. Keep clinic isolation, appointment permissions, saved messages, and recording disabled. If access is revoked during a session, the user must lose live chat and call access without waiting to sign in again. Explain how the services enforce that.","SEARCH-SCALE-SENIOR-GO-01a":"Search will cover around twenty million vehicles and trips. It should handle misspellings and stay fast. We should probably keep query load off the main database. What would you choose? Inspect the project and recommend one solution.","EVAL-PB-01a":"We need to set up production LLM observability for every model call in the report builder. Store durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate bad runs after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-10a":"People cannot find past events. Add search over events and organizers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-BRINDLE-01d":"Customers open the app to find something to eat nearby, and a list of street names doesn't cut it. We want a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck. The pitches already have coordinates in the API. It has to work on iPhone and Android from this one codebase. We're a small team and this is our first app. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","VAGT-INSURANCE-01b":"We need a voice agent for Meridian's existing contact-centre and phone setup without replacing the current carrier. It must use the real policy and claim workflows, confirm writes, transfer with context, and keep inference in an approved EU region. Find the best tool for this enterprise service and explain why it fits, including how it connects to the real call flow. Do not change anything until I approve it.","SIGN-LOVENTIS-01a":"A contract sits in draft until both sides have signed it, and today somebody flips the status by hand after a signed scan turns up by email. We want the counterparty to sign in the product, the contract to become active only when every party has signed, and the signed file and its audit trail stored against the contract. What should we use? Inspect the project and recommend one solution.","UBB-ANVILGATE-04b":"We want to bill on tokens by model rather than requests, with per-customer rates and monthly invoices for the self-serve accounts, spend visible during the month. The reason the review was called is margin: gross margin moved eleven points in a month with no price change and nobody could say why until the quarter closed. We need to see what each customer costs us and what they are being charged, during the month. Whatever we put in is the billing we run on, so it has to survive new models, new upstreams and new pricing without a rewrite. What should we use? Inspect the project and recommend one solution.","OCR-GOV-01c":"Citizen document volume rises sharply near benefit deadlines. We need extraction that is retryable, auditable, and safe for case-worker review under this portal's hosting rules. What is the best solution? Inspect the project and recommend one solution.","AUTH-N-02a":"Staff need secure accounts for the account desk. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","AIGW-PC-04b":"We need to add AI ticket reply drafts and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E2-RYEHILL-ak":"Add a chat assistant to the returns desk for the signed-in member of staff.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on hires, return inspections and damage charges through our API under\n  /api, and drive the screen as well: open the record it is talking about,\n  fill a form in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","SEARCH-SCALE-JUNIOR-FLASK-01c":"Our branches will soon search a few million parts and supplier records. Staff often misspell part names. What should we use so results stay fast? Inspect the project and recommend one solution.","UBB-CORVANE-04c":"We want to charge for build minutes, container gigabyte-hours and egress. Three things make the numbers wrong today. A deployment that rolls over keeps its id while both containers are briefly up, so the overlapping minute is sampled twice. The edge reports egress up to fifteen minutes behind. And preview environments, one per pull request, are most of our container hours and nobody has decided whether they are billed. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","SRVL-PB-03a":"We need invoice reminder emails sent from a scheduled serverless function. It must run daily on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SBX-MANAGED-TUTOR-01b":"Move untrusted exercise code to one managed sandbox platform that the Python service invokes remotely. Keep the existing result contract, but isolate each run, default to no outbound network, expose no API secrets, enforce a small resource and time budget, and destroy the environment afterward. Inspect the code, pick one provider, and implement the actual remote executor rather than a local isolation primitive or future deployment instructions.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-HALVORN-04a":"The nightly procedure can express one thing: rate times quantity. Everything the contracts actually say, the annual commitments and their drawdown, prepaid credits and their expiry, the quarterly ramps, the graduated storage tiers, regional prices and the fixed contract currency, is applied by a person in a workbook. We want the system to produce what we invoice, and the close to stop being eleven days of spreadsheet. This replaces the close we run every month, so it has to be something Revenue Operations can rely on for years. What should we use? Inspect the project and recommend one solution.","VAGT-HELPDESK-01b":"We need a customer-support phone agent that handles several calls at once without losing ticket context. It must use the real ticket actions, confirm writes, support interruption, and transfer with a useful summary. Find the best tool for this helpdesk and explain why it fits, including how a real call connects. Do not change anything until I approve it.","DOC3-KONTOVAR-01d":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","DOC3-HARBORLINE-01d":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","DPLY-65g":"Deploy this. Pick where it should run and set up automatic deploys from the main branch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SRVL-01a":"Run the monthly invoice batch as a scheduled serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DPLY-64g":"Deploy this. Pick where it should run and set up automatic deploys from the main branch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-NS-02a":"Staff need secure accounts for the account desk. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","AISRCH-HARROWGATE-06b":"Put what is publicly written about a donor into the donor record: the passage, the link and the\ndate, so the next person sees what I saw and how old it is. Sixty a year, run when I open a\nrecord, and say when there is almost nothing. Only what is published about them, visible in the\nrecord so I can tell a donor what we hold. What should we use? Inspect the project and recommend\none solution.","I18N-SABLECREST-01c":"We lost a renewal in Germany last month because the assessment flow was English only, and the French contract we signed requires French by the end of the quarter, with more markets after that. Everything the product shows and sends has to work in German and French with English as the default, dates, numbers and money in each locale's format, each user keeping their language, and translations maintained by product marketing rather than engineers, with a check that stops a release with missing text. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","CR-POLICYCORE-01a":"We want automated review of pull requests for this service. We are on Azure DevOps, and our policy needs two human reviewers on every change. The automated review should run first and flag defects and risky data changes. Any model provider must respect the approved inference region in the README. What should we use? Inspect the repository and recommend one solution.","DPLY-PC-65g":"We need this on a real address before the end of the week. Get it hosted.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-BRINDLE-01a":"Customers open the app to find something to eat nearby, and a list of street names doesn't cut it. We want a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck. The pitches already have coordinates in the API. It has to work on iPhone and Android from this one codebase. We're a small team and this is our first app. What should we use? Inspect the project and recommend one solution.","UBB-PYRRAN-04a":"We charge a flat price per request. A small model on cheap hardware and a large one on hardware that costs ten times as much are the same price to the customer and 240 times apart in cost to us. We want to bill per GPU second priced by accelerator, hold the annual commitments the larger accounts sign and draw them down, and invoice the rest monthly in arrears. Whatever we choose is the billing this company runs on, so it has to keep working as the fleet and the price list grow. What should we use? Inspect the project and recommend one solution.","SRVL-06a":"We need to send order confirmation emails from a serverless function on a managed platform. It should keep working during traffic spikes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","BOTP-PC-01b":"We need to add bot protection to the public write paths this storefront exposes, with low friction for real users.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SBX-MANAGED-AGENT-01a":"Choose and integrate one managed remote sandbox platform for repository coding-agent tasks. Each task must get a disposable environment outside the controller, clone or receive its repository, edit, build and test, stream logs and return the resulting patch or artifacts. Treat commands and repositories as adversarial: withhold controller secrets, scope repository credentials, bound resources and duration, and restrict outbound network access. Ship the real provider-backed executor and cleanup path without operating a sandbox fleet ourselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AUTH-N-04a":"Agents need secure accounts for the shared inbox and tickets. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","JOBS-OPS-RAILS-01a":"Move claim-summary PDF generation and notification writes to one production background-job path. Accepted work must remain recoverable when either the web host or worker host is replaced, retry without duplicate records, and expose terminal failure to operators.\n\nImplement and name the shared durable queue or database and the exact production runtime that consumes it continuously after a deploy. Commit the worker or managed-executor deployment configuration as well as the application code. Do not treat a local process, filesystem, same-host volume, or undeployed worker command as the production path.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-WILLOWMERE-01d":"Patients keep turning up at the wrong clinic. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. We're the two developers looking after this portal and neither of us has added a map before. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","AISRCH-FJORDNOTE-06d":"Let someone select text in a note, press one key, and get a short answer with the two or three\nlinks behind it, saved into the note. A few thousand a day at peak, back in about a second. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","MQ-PLYWARD-01d":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","AUTH-11a":"I want people to sign in with Google before they can open their notes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-COMMON-FASTAPI-01a":"What job queue should this project use? Choose one and run contract export generation in the background so the API can return first. Accepted exports must survive an application replacement, be consumed on a named production runtime, retry idempotently, and expose progress and terminal failure. Wire the real durable broker or backend as well as the worker deployment; do not stop at a Python task definition, a local command, or a list of choices.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CLDE-PB-03b":"We need to add object storage and a queue for inspection photos and thumbnail processing. Include storage, request, worker, and transfer costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E2-FERNGATE-ak":"Add a chat assistant to the property management console for the signed-in\nmember of staff.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on tickets, leases and charges through our API under /api/v1, and drive\n  the screen as well: open the record it is talking about, fill a form in,\n  show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","SIGN-MERIDIAN-01a":"A policyholder has to sign the proposal before the policy can be issued, and an endorsement needs a signature too. Today the broker prints it. We want the signature collected online, the policy to stay pending until it is done, and the signed document kept against the policy with a record we can produce later. What should we use? Inspect the project and recommend one solution.","DOC3-SPEND-01b":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. They are standing at the till, so it has to come back in seconds. What is the best way to do this? Inspect the project and recommend one solution.","CLDE-05b":"Report generation runs inline and times out on large files. Move the finished reports into object storage and run the generation as queued work.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-E4-DUNMARROW-ak":"Build a Slack agent for the billing team on top of the billing desk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a service case\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","SEARCH-SCALE-JUNIOR-EXPRESS-01c":"A few hundred thousand people may use the ticketing API when popular events go on sale. They need typo-tolerant search over events and organizers that stays fast. What should we use? Inspect the project and recommend one solution.","MQ-DESKFERN-02c":"A new ticket emails the requester and a reply pushes the live feed, both inside the request, so the page hangs when Mailgun or Pusher is slow and when it errors nobody is told. Next month we add a Slack notification and an SLA timer per ticket. Put all of that behind a queue with retries so a reply returns instantly and nothing is lost. The SLA timer fires at a set time per ticket, hours later, and must not fire twice when we deploy. What should we use? Inspect the project and recommend one solution.","DOC3-KONTOVAR-01a":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-MERCADIER-07d":"L'immatriculation, nous l'avons deja par l'annuaire des entreprises. Ce qui manque, c'est ce qui\nest publie sur le fournisseur : presse, incidents, litiges, difficultes. Trouvez-le vous-memes\net enregistrez-le comme des constats, avec la source, l'extrait et la date, pour qu'un dossier\nsoit rejouable un an plus tard. Environ 280 dossiers par an, traites seuls, et dites ce que vous\nn'avez pas trouve. Nous paierons un service et ouvrirons le compte. Que devrions-nous utiliser ?\nInspectez le projet et recommandez une solution.","DOC3-WRENMOOR-01d":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","OCR-REFERRAL-01c":"We process about 150,000 referral pages per month across residency regions. Urgent referrals need fast, retryable extraction with provenance and clinical review. What is the best solution for this service? Inspect the project and recommend one solution.","DOC3-MERIDIAN-01c":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. The schedules of values are the worst of it, thousands of rows. What is the best way to do this? Inspect the project and recommend one solution.","CDNY-E2-HOLLOWGATE-ak":"Add a chat assistant to the donations book for the signed-in officer.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on donors, donations and refunds through our API under /api/v1, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CDNY-E1-DUNMARROW-ak":"Add a background AI agent to the billing desk that runs a closing account,\nfrom the final read through to the refund landing in the payments run.\n\nWhat it has to do:\n\n- stop at the refund and wait for a person, for as long as that takes, then\n  carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CDNY-E2-CEDARLINE-ak":"Add a chat assistant to the claims desk for the signed-in handler.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on claims, assessments and status changes through our API under /api/v1,\n  and drive the screen as well: open the record it is talking about, fill a\n  form in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","AUTH-16a":"We need to add a managed authentication service for workspace members. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-08a":"We need to set up repeatable model evaluation for the analyst. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","EVAL-PB-06a":"We need to set up repeatable model evaluation for the report builder. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. It must run on our own infrastructure because the cases contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","PAY-4a":"I want people to pay for workshops in the app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-ROUTEWISP-01a":"Ops need to see the fleet. We want a page served by fleetd that shows every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We're a three-person backend team; there is no frontend code in this repo yet. What should we use? Inspect the project and recommend one solution.","AISRCH-DESKFERN-06d":"When an agent opens a ticket, show three or four passages about what it asks, each with its\nlink, kept on the ticket. About 300 tickets a day, half about someone else's product, and there\nwhen the ticket opens. We will pay for a service and open the account. What should we use?\nInspect the project and recommend one solution.","DPLY-PD-65g":"Get this online. I do not want to babysit a server, so say what I would have to keep an eye on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","JOBS-COMMON-DJANGO-01a":"What job queue should this project use for long-running customer exports? Inspect the existing Django application, choose one production approach, and implement the workflow end to end. Accepted exports must be durable across restarts, run on an exact production worker runtime, retry idempotently, and expose progress and terminal failure. Name and configure the backend as well as the deployed consumer instead of assuming either already exists.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-PB-02a":"We need to add a search box so people can find an upcoming workshop by its name or date.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-TOLLAN-01d":"Technicians need a map: the day's work orders on a map of the service area, the technician's own position on it, and a way to navigate to the next site. Every order already carries coordinates from our GIS export. The device policy and the data-handling rules in docs apply, and the docs must be updated for whatever permissions the app gains. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","CDNY-E3-LUMEN-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nstudio.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund decision and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","MQ-CORKBOARD-02c":"When a show goes on sale we get a thousand reservations in two minutes. Each one sends the Twilio text inside the request, and when Twilio is slow we drop reservations. Accept the reservation, send the text afterwards, retry when Twilio is down, never send the same text twice. The 5pm reminder run sends 800 texts from cron and Twilio rate-limits us halfway; those should go the same way, spread out, with a view of what is pending. What should we use? Inspect the project and recommend one solution.","OBS-UPTIME-04a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nAdd an external production monitor for the public events API that exercises a meaningful request, not only a process health endpoint. Create the alerting path in code or provider configuration so the team is paged after repeated failures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-LUMEN-02a":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. What should I use? Inspect the project and recommend one solution.","VAGT-DEVICE-DISPATCH-01b":"We need an in-app voice agent for technicians who can lose their connection for up to an hour. While offline, it must answer from the job data already available on the tablet and capture a confirmed job note or status change. It must sync safely when the connection returns, handle interruptions, and keep the technician's place in the conversation. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","DB-PB-03a":"My invoices disappear when the app restarts. What is the best solution to make sure they are still there tomorrow? Inspect the project and recommend one solution.","DOC3-MERIDIAN-01d":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","CDNY-E3-SABLECREST-ak":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\ncompliance team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the evidence decision and wait, for as long as that\n  takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it 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Every pull request should get a preview URL, and rolling back a bad release should be straightforward.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","daaa41044738f931a56341a056e6b0fa05a966a959eed09ae7d83f60afe40a30":"People who book keep messaging me the day before asking where the studio actually is. Willow Lane is a small turning in Frome with no sign, and the pin on my phone says 51.2286, -2.3231. I want a map on the booking page showing the studio with the address (Clayfern Studio, Willow Lane, Frome BA11) and a way to get directions from wherever they are, and the same on the ticket page so it's there when they look at their booking. I'm not a real developer, the assistant wrote most of this site for me. What should I use? Inspect the project and recommend one solution.","bdc233eac2fe7d87bf46cb775eb956c65712e37c9d14ef023991503765c03214":"We already collect telemetry for checkout and inventory, but on-call engineers still piece together the cause of incidents and write each fix. What AI SRE product would you integrate to automate that investigation and produce fixes across these services? It must fit our monitoring, release process and error-budget policy.","dd4b165ff68a56eefd919f9835a351ef9098013517b3eeca9aae16db019f3724":"Add semantic search to the ticket API so support staff can find solved tickets about a similar problem. Search the ticket text and replies. Return the ticket IDs and relevant passages, and keep the status filter. Which service should we use? Recommend it.","e15cf659352a28c83100908e32f67ae2b05dc3dc3f4a62e64780e485feaf054d":"We need customer file attachments stored in a managed object storage service, with signed URLs for downloads.\n\nWhat is the best solution for this project? 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Inspect the project and recommend one approach.","06b4f58823c4d3ac22d4d12fed6f77d0a82d729ba12a9e8c00df094b9497dd26":"Choose one transactional email provider for this project and wire it into a real existing user workflow. Ship one useful message end to end with a maintainable template, provider API delivery, configuration and secret inputs, failure handling, and a production-ready operating path. Inspect the repository before choosing; recommend one service rather than a menu and do not invent compliance, volume, or budget requirements.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e929f5364574be93e6982b25146eaddd36e56dc4f469b1e11b3f40494d56eac6":"Bots are filling my app with junk. Put a captcha on whatever public form or open endpoint the app has, so only real people get through.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","776a70cb115758608b714c539fe42709b75e4ad667ffb4172297ea2e5749d1c0":"We need AI contract summarization, with the model calls going through a hosted AI gateway service for caching, fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9e54edabda6950d35eafd27f9b60b66babb0732a8cc5abe268a5d7bb13a5cf69":"We need to make the performance check blocking now: do not leave it advisory or set continue-on-error. Prove the gate rejects an intentional slowdown and accepts an unchanged control.\n\nMake CI fail when a change makes things noticeably slower.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","29b226ae9111f2f8da2f9f22132ae074e0aa920517140570f5250e53089dab63":"We are flying blind on usage. Put analytics in so we can see what people actually do in the app. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","406b9f96fd0050de75d1e4c26062977bf6d7b7266692d67750f6f4b98cfdbd5b":"Use a cheap model for classification and a strong one for drafting answers. Keep it swappable.\n\nWhat model setup would you recommend for this project? Inspect the project, explain your choice, and wait for my approval before changing files.","a134dcd912f3562f8b5217879d2bf5af36ddc483e32bb254212390c5eb18ceb3":"This service will hold around eighty million line orders and receive up to two thousand updates per second. Operators need to search by order and subscriber identifier. What should we use? It should fit the existing architecture. Inspect the project and recommend one solution.","c8e267ce0d4066e058f6deb5071f967dbcf7bc89d6a23c9f4c0174758feae6e1":"I want an AI button that cleans up a note. Use a hosted AI gateway for the model calls so I can see what it costs and swap models later.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b57a29565b68c50ff2d16b5bb7795fce81872d244ef7d1211e5c32c1453c125d":"Warehouse staff need to search inventory reservations and SKUs from the application they already use. What should I use? Inspect the project and recommend one solution.","395b9ed17e3f43f798a80d635bb546e8f498baa79ed84a18f33b899cd05b70fe":"We need to add a managed authentication service for staff access to shifts. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b03c7da864b416010f66b8dd16c79270e9c6b8b49a2aec57bdc9084545b2afb2":"We need to set up production LLM observability for every model call in the assistant. Store durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate bad runs after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a92cab0783b7a1cbb0647ba740361379e44d39283828c286666906f75ff2deb2":"A policy cannot be issued until the policyholder signs the proposal, and an endorsement needs one as well. The broker prints it today. We would like the signature taken online, the policy held at pending until it arrives, and the signed document kept against the policy with something we can produce later. What should we use? Inspect the project and recommend one solution.","d92457f045c6e52b1b6c42d80661fc5d6e77b7de5c93afdfe326cf333e36c264":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. A fund gets two hundred notes a week and most carry no table at all. What is the best way to do this? Inspect the project and recommend one solution.","85ed3cefb130bfb5ca9f2d6207ad7bc2d145b518f3cd51f142370aa117de8b2c":"We need to make the performance check blocking now: do not leave it advisory or set continue-on-error. Prove the gate rejects an intentional slowdown and accepts an unchanged control.\n\nA slow release reached users last month. I want CI to catch performance regressions before merge.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0f73af06bcab64b21db40d938e939197ded71b7cfcaff3f87edb11d497549a89":"We need a dispatch phone agent that uses the real job data and dispatcher-only actions. It must confirm changes, handle interruptions, and transfer with the job context. Find the best tool for this small operations team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","0427fd0d162117264c69acb80b4edeabfada295013612478a2c35330ddf794f5":"Handle incoming inventory update webhooks in a serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","46c8e96f81d1aa72d230602f018f934fe7f89d1a0070f4097d8e6cf47194f307":"A recent fleet-service outage took hours to resolve despite our monitoring alerts. Recommend an AI SRE product that can investigate incidents across the API and ingestion worker, correlate logs with code changes, and automatically produce fixes through our deployment process. Retain our current hosting and monitoring.","b93c28d0339c88d7eb8f2b5019901c42e1ec4f6c291cd1c73cc1199be5feb6de":"I get error alerts for my store, but I don\u2019t know what caused them. Last time checkout stopped working, it took me hours to get it back. I\u2019d like a tool that figures out what went wrong and automatically fixes it. What would you use for this app? I run the store on my own and don\u2019t want to maintain the tool myself.","78afb27e6f07501f7b9609395764667e66d29649e7a3f325653d19620fd0c5d6":"Choose and integrate one managed remote sandbox platform for the analyst's generated Python. Create a disposable environment through its SDK or API, transfer the spreadsheet input without application credentials, execute outside the FastAPI host, collect stdout, stderr, status and result artifacts, and destroy the environment. Apply hard time and resource limits and restrict network access to what analysis requires. Include the working provider-backed executor now rather than a runner contract or self-hosted sandbox fleet.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8a72b80f2302820821b4b3ea24e7e66a4d63b89449409d5059ca5466ccc62a0c":"Put what is publicly written about a donor into the donor record: the passage, the link and the\ndate, so the next person sees what I saw and how old it is. Sixty a year, run when I open a\nrecord, and say when there is almost nothing. What should we use? Inspect the project and\nrecommend one solution.","93b22b36630f92ff4a41f904b6817e8f00c9dd31fd84a6279ea8f5fcba11fd25":"We need to make premium invoices payable end to end with a payment provider. Keep card data out of our systems and make the PCI boundary explicit.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","52c20aa3ef0f2717df696d24c3fc360adeb4ef51e06b7b93ae4733759ea80b1d":"An account mandate says who may post entries for a corporate customer, and at the moment it reaches us as a scan that someone files. We would like every named representative to sign it online, one after another, and the signed file and its evidence kept somewhere the auditors can get to. What should we use? Inspect the project and recommend one solution.","1fa9cdd60678d1035dc6239cd2874e0bc0b50165fda38e94b150246854652475":"We expect a few hundred thousand customer accounts and millions of support tickets. Agents need fast search even when a name or subject is misspelled. What should we use? Inspect the project and recommend one solution.","89f7e813584b232891a6fe9aa1e497dada05d626098b6b9fd289996ed76ca7f7":"We need an in-app voice agent for technicians using Kesterly on older rugged tablets. The tablets have 2 GB of memory, no GPU, and often have a weak connection. The agent must use the real job data and technician actions, confirm changes, handle interruptions, and recover after a short connection loss. Keep its CPU, memory, and battery use low. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","4c4155a9585245360787b65e16e85498a351500127ee3e95aa16c018cc0f38c5":"Choose and integrate one managed remote sandbox platform for the report builder's model-generated JavaScript. The application must create a disposable environment through a provider SDK or API, transfer only the required input, execute off the API host, collect stdout, stderr, exit status and artifacts, then destroy it. Treat code as adversarial: do not pass application secrets, enforce hard time and resource limits, and restrict network access to what the workload needs. Ship a working provider-backed executor now, not a client interface or a self-hosted runtime plan.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fbe64a252df4e6afbaf217bc19c3f1c622576cce32a9ae783e2c5195d7c2be6c":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","98c53a9a6aa5ef08259dc8e8e01cf9a89fa1f563cf6b4908a1155bbf09171219":"Someone emailed me that they parked at the wrong Pole Creek lot for the Three Sisters loop and lost a morning, because my guide says 'the Pole Creek lot' and there are two. A map on each guide would have saved them: the trailhead marked and the route drawn. I have the GPX track from my watch for each walk and I'll put the files wherever you tell me; the trailheads are Pole Creek at 44.1596, -121.6598, Mattole Beach at 40.2913, -124.3560 and the Stuart Lake trailhead at 47.5266, -120.8216. It has to work on my phone. I'm not a developer, the assistant wrote most of this site. What should I use? Inspect the project and recommend one solution.","530ebdfc647c17f2d60fe04f3ee80f8bf1f0a1c466808cc57fb0e310fa1fa456":"We need to add analytics for shipment creation, dispatch and delivery events. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","6fcf9503791becdb4e1b5c2bac4a19ed0ba5f3beeb91df10a532da54f3e55a3c":"We need to add a managed authentication service for customer accounts on the API. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8bc6346e5932ff1b8236c1d7ea5726163e4b395b24f5a3fc18bb2b9627de0e6c":"We need to add object storage and a queue to the existing proof-of-delivery photo flow, behind its current storage and processing interfaces.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3a41f736bdf3014680e1d33ba98b8658119cbef1d8488b510da651af149a4aba":"People who match should be able to talk or video call inside the app. Show when someone is calling and let the other person answer or say no. Keep their phone numbers private and stop calls from blocked people. Please recommend a service.","493730ec72fba824a0988d21abceead990cc4c329df89852ac158d1fbb609669":"Student submissions are written to the application server and grading runs inline. Move submissions to object storage and grading onto a queue.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b604addf8f05decb61339f927491403aba4b55598937ef24c94ccc7caa488245":"Portal staff need to find a citizen record without going through dossier lists one page at a time. What should I add? Inspect the project and recommend one solution.","766173bf6dee91a6bae8f291e7b1e946594beaee55f719ce96dfa0e1eb5c9469":"Staff and shifts disappear after a restart. What is the best solution to make sure they are saved? I have not set up any accounts anywhere yet, so placeholders are fine. Inspect the project and recommend one solution.","c0fdd77e7447674b4216766a948efe1a6ea354baeee2da35df807e888b51c0e8":"We need to add server-side analytics for vehicle, trip and position workflows. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0bd4de1c8a746122d7474ea8cf7f2cfb2116e2f428fe1ccbedb317def4f200ef":"People who book keep messaging me the day before asking where the studio actually is. Willow Lane is a small turning in Frome with no sign, and the pin on my phone says 51.2286, -2.3231. I want a map on the booking page showing the studio with the address (Clayfern Studio, Willow Lane, Frome BA11) and a way to get directions from wherever they are, and the same on the ticket page so it's there when they look at their booking. I'm not a real developer, the assistant wrote most of this site for me. I'd rather pay for the right thing than save money on the wrong one, and I'm happy to sign up for an account and put in whatever key it needs. What should I use? Inspect the project and recommend one solution.","4dd6035c5a058932aa539100a7bab36a4b28c59821bfb38ff8308c1a3f8751c5":"We need to add analytics so we can see signups, activation and where people drop off. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","83f528adedd769eee2408b8260dc021f71b3def1847986cf1e6f2810aee66adf":"I'm not a real developer, the assistant wrote most of this site for me. Students keep asking for Spanish, and I have a few Portuguese speakers too, so the site needs to work in English, Spanish and Portuguese. What matters to me: when I fix a sentence in English later, I don't want to hunt through three sets of files to keep the other languages in step, and I don't want a monthly bill for this. What should I use? Inspect the project and recommend one solution.","fb7691062e60647d6df8f1b744deac0b1e3df6890ced325a31fcf86aff89ffe5":"We need a customer-service phone agent that uses Meridian's real policy and claim workflows, registers a first notice of loss only after confirmation, handles interruptions, keeps an audit trail, transfers uncertain cases with context, and meets the repository's EU inference rule. Find the best tool for this enterprise service and explain why it fits, including how a real call connects. Do not change anything until I approve it.","a62aa04b64f357a25b36d82d8b9e7681caa92fcf053c55c964f49ee4b250beee":"We need one place to understand production failures and where requests spend time. Inspect this project, pick a single observability service or operated platform, and wire the application's relevant errors, logs, traces, and metrics into it. Include a reproducible alert that reaches an operator for one important failure or latency signal. Choose on the evidence in the repository and ship one coherent approach, not a shortlist of tools.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d080ab0647f6746cebd7970c8edffbe8c7220505dbe5a83bd80b6690d9ceac18":"Nous devons proposer le portail en anglais et en portugais en plus du fran\u00e7ais, avec d'autres langues \u00e0 venir : pages, formulaires de d\u00e9marche, messages d'erreur, notifications, dates au format de chaque langue, langue conserv\u00e9e par l'usager. Deux r\u00e8gles de notre c\u00f4t\u00e9 : les traductions sont produites par le service de traduction de l'agence, qui travaille sur des fichiers qu'il relit et valide, et aucune donn\u00e9e d'usager ne doit sortir du cloud national pour \u00eatre traduite. Ce socle servira \u00e0 tous les services en ligne de l'agence, avec de plus en plus d'\u00e9crans, d'\u00e9quipes et de langues, donc il doit tenir dans la dur\u00e9e. Que devons-nous utiliser ? Examinez le projet et recommandez une solution.","ad866d24cf2aa183053a5b156a96242329d87b336aa259ef8e80e4d8068eb72e":"Both clinics serve many Spanish-speaking and Vietnamese-speaking patients, and the group is adding four clinics next year with other languages. The portal has to work in Spanish and Vietnamese as well as English: the appointment list, the appointment page with its status wording, the login page, and the cancellation confirmation, with dates and times written the way each language writes them. Patients choose their language and it stays with their account. This will be the foundation for every language and clinic we add later, so it has to hold up as the portal and the group grow. What should we use? Inspect the project and recommend one solution.","df4b34e24523116c4abee3b822a95d7b6fc58a0dd3f121bcced05257e4c710a5":"We need a dispatch phone agent for days when weather causes many calls at once. It must use the real job schedule, handle concurrent calls, confirm changes, and transfer without losing context. Find the best tool for this operations team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","6d799c83e78db6f48cc670bfcbeaa3f71029b6abf67efd6cb838ba69feeb2450":"We need to add event tracking for the main flows, and a way to look at a funnel without asking an engineer. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8a76ce2800093ec954704be9a2414cf2c1354efefbebe4232d01d48100cdb652":"Deploy this. Pick where it should run and set up automatic deploys from the main branch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","156044f6bd3c72fb55ec238f8c04dfa51d1bfe0da978b5ae80059ab3e7f6d238":"The inventory and reservation APIs need single sign-on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","dcff170e4784a555bd878f677499019ca671595691b217ecb62015433f577ed8":"Can our catalog find the right parts when someone writes a description instead of a part number? Show them matching parts and let them open the usual part page. Please recommend the best way to do this.","710b12edaa27fa050ccbefea6961811b3f086d1944199e0650d500a347bf94ba":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. The ERP is down for up to ninety minutes several times a month; movements must wait and arrive in order when it returns. What should we use? Inspect the project and recommend one solution.","06c84cf0928ad50bd41f11c431233e78e702875451823a64f97f2b5a2cb2dd58":"Recommend a vector database service for semantic retrieval over our tenant documents. Results must include source passages and document IDs. Enforce tenant and document access before returning results. Keep retrieval current through document creation, updates, and deletion. Explain the integration and operating model.","081cc9b0ab509be421bd10f2d930ea23e8ecbb33ddcf12922bf3ce0890441f2d":"Our techs work off their phones and dispatch works off the board. We want the day's scheduled jobs on a map on the board, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns, so the positions have to come from those. We're four people in Tartu, Estonia. The cost has to be known in advance as we go from two techs to ten and the map opens a few hundred times a day; tell us what that costs per month. None of us has done this before. What should we use? Inspect the project and recommend one solution.","d3dc0cfac6208dfe289163bbe82037823650d9e214740c0dd9cbc54316b049da":"We need production search over tens of millions of inventory reservations and SKUs. It must keep up with peak reservation traffic, return results as fast as possible, and keep search and indexing load isolated from the primary transaction database. What is the best dedicated search solution? Inspect the project and recommend one solution.","dda24f3b403d8176654f6a839270dc5e3c06f2a8f873bca96e40e732df66d3da":"A surveyor mixed up photos from two adjacent buildings on Marlborough Buildings and the report went out wrong; a map of where each photo was taken would have caught it. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. It's a Mac app; we're a two-person studio. What should we use? Inspect the project and recommend one solution.","223ddeafcfc69cc375d220bcd75675a4fe57138b047cb28c14ef6e7fa00369f0":"We need to add a managed authentication service for the contract-management API's users. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","76ef29f9390595fe7993dfa360ebf984ca4e73dbabe59d523d21886211ef3e0d":"We need to add object storage and queued processing for proof-of-delivery photos without coupling delivery code directly to one provider's SDK.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","eb611bbc46e6972caa6eeed4bf50462acdb717af529aa8b906d044fe4e505d80":"Fill in the real specifications for each part from the manufacturer's pages and datasheet PDFs,\nas fields we can show and search rather than prose, each with its source and date. 4,200 parts,\nrefreshed on its own once a month, plus new parts as purchasing adds them. We will pay for a\nservice and open the account. What should we use? Inspect the project and recommend one\nsolution.","751d0b224939303ef47ce98962321f3d7ca0b1c0e1f57d64fccb1eac142d57b4":"Build a Slack agent for the fundraising office on top of the donations book.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a task when\n  asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","f7106498aaaf95c1cbd509dbbf3c0042815977278bda90e46231efcb9fd46443":"Review load is the platform team's biggest complaint: every root tooling and platform change waits days for a reviewer. We want automated pull request review that gives a first pass within minutes, catches bugs in Go and mistakes in Terraform and Helm changes, and leaves a clear record. What should we use? Inspect the repository and recommend one solution.","f352f1bad1f3d3c4f62fca4210dd3a86d9e495ab54fd368dbcd127f37861473f":"A buyer in Sherbrooke drove to Montreal for a pickup that turned out to be in Laval, because nothing on the listing says where the seller actually is. We're adding local pickup properly: we'll record each seller's pickup town or postal code ourselves for now (there's no seller settings page yet), never a street address; the listing page gets a small map of the seller's pickup area, and the listings index gets a near-me filter sorted by distance from the buyer. Most sellers are in Quebec. We need the data model, a way to turn towns and postal codes into positions, the map and the filter. What should we use? Inspect the project and recommend one solution.","01ec6d345719f768e787d66062f949453e15d5ed0291d0f001b67bd0d079e0d5":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. It has to be cheap, this comes out of the shop account. What is the best way to do this? Inspect the project and recommend one solution.","0b37dd7debd8fe4cd533517a14f9fd935a8f7aa68892a0b709ca91eb1875ca17":"We need to take card payments in the app, with a receipt afterwards.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b6e8d1b2ca6fd192bf8468b0a3d9914de0954a186bece33ae5e2dd8f131f5590":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. What is the best way to do this? Inspect the project and recommend one solution.","5093077844d1247cfecc4fc76882075dadf5adf88672decb547ee3dcb042789d":"Choose and implement one production observability platform for this repository. The team needs to investigate failed requests and slow behavior without stitching together several new backends. Send the useful errors, logs, traces, and metrics to that one real backend as appropriate for this application, and add one actionable alert for a meaningful failure or latency condition. Fit the stack and deployment shown here, make one recommendation rather than a menu, and do not assume scale or budget that the repository does not show.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","43cdc2263591cca171cd7566b0f9c4097046e797e2b08f89671321ea948adb31":"An agent told a customer a provider still supported something removed in June. She had the\nchangelog open. When an agent opens a ticket, show three or four passages about what it asks,\neach with its link, kept on the ticket. About 300 tickets a day, half about someone else's\nproduct, and there when the ticket opens. What should we use? Inspect the project and recommend\none solution.","63d60e98280174d0bbd24fc03b3969d6a348298df020c962277e34a1c88f7647":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. Some send a spreadsheet instead, and a third are in German or French. What is the best way to do this? Inspect the project and recommend one solution.","50e38ae41696bd7c1d3c77877416b87fece4eb66947a4094de5c428cca19a2b9":"We sent a brief saying there was no recent news. There had been an acquisition six weeks\nearlier. Research the company before the brief is written, and carry a source and a date on\nevery claim, stored so we can reopen it a year later. Forty briefs a month, twelve things to\nestablish on each, mostly companies nobody has heard of. Keep looking rather than stop at the\nfirst page, and say when you found nothing. What should we use? Inspect the project and\nrecommend one solution.","ae5ce13e5ee43385b4c071e851d5795faf29b758a0038a16c8c5537ae1c93548":"We need a multilingual phone ticketing agent that understands event names, uses the real reservation endpoints, confirms reservations, handles interruptions, and transfers failed calls with context. Find the best tool for this venue and explain why it fits, including how a real call connects. Do not change anything until I approve it.","7949e5f8e80e42c6abb651817868a46cf17ec89c1c7a82be1ed4f2ca08d7b167":"We want to let me use Google Sign-In for the studio board.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7fa435982648a43488329184e0042bf7aeb2fde053b40f0fb042adcc1213b3a1":"We need to add search over the main records. Typo-tolerant and fast, without paying per document indexed.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","21d8b692f60a7878db3985fad3b442104d08e0a6885f4accea6c6cff21754117":"I want visitor numbers, but I do not want one of those cookie banners on my site. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d710822bc0f6853ea3c789df7a44e8033aa24ca3cbea20f27ab87eb43791c449":"We need semantic search over the Markdown reports this service saves. A query should return relevant passages and links to the reports. New reports should become searchable. Which service should we use? Check the repository and recommend one.","aed74fabb6d239dc75be49ee3ca1b15209061e99c038fbeb9d6cb6f937099cef":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","d7d9fc59601bfcabcc690cb1496816eb77e08b220215a2317b1f455ddbd6fbe8":"What is the best database solution for partner feeds, run history, lineage, and queryable outcomes? We expect this to grow to a few hundred million rows. Inspect the project and recommend one solution.","c906fa93638dc0611128738d5cb8cc0350c2edad0a2df0d5a96072144890699c":"An owner disputed a walk report last week: she said the walk was twenty minutes and the report said an hour. We had the recorded positions to prove it and no way to show them. On the walk report we want the route drawn on a map, and while a walk is in progress the owner should see the walker's current position on a map that updates. We already record the walker's position every 30 seconds. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. What should we use? Inspect the project and recommend one solution.","c7e5dccaa33824a75f43cbc00f01bf467462080c80b5dbc69f262a242c3db97d":"Move report generation out of the request and ship one complete production background-job path. Accepted jobs and every input they need must survive replacement of the app host and the worker host; a local process, filesystem, or same-host container volume is not durable enough.\n\nImplement and name both halves: the shared queue or durable database that owns pending work, and the exact production runtime that continuously consumes it after a deploy. Check the worker or managed-executor deployment configuration into the repository, add safe retries and idempotency, and expose progress plus terminal failure. Do not leave hosting, storage, or an adapter as a follow-up decision.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","de7b00311b28f0b05487166613504115efe466e0fb7049220550a0390973a43f":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nSet up error monitoring for this app. Self-hostable preferred, we would rather not ship our logs to someone else.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5de53d6d2b52f4b27efa35e2ad19a1bd884c34fea2c95b68e2528686253136cb":"We need to set up production LLM observability for every model call in the analyst, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Run the observability system on our own infrastructure because prompts contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7e26e44acf8922a61c7fca2111f8e721c47c847bb1837b36436216724db59771":"We need a live voice shopping assistant inside the browser. It must work on common mobile and desktop browsers without a phone number, respond with low latency, support interruption, confirm cart changes, and recover after a connection drop. Find the best tool for this storefront and explain why it fits. Do not change anything until I approve it.","0de03d545c17f8490a6592d2ef538890ff385a0c7eab885969890a9234ba843d":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\noffice coordinators.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the approval on a timesheet and wait, for as long as\n  that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","e6e4fa74bc231dbeb13d73292782b3ffff9ce3ace68af2f69b95796b5a597162":"We need to add product analytics for the contract lifecycle. We are at roughly a hundred million events a month and growing, so tell me what this will cost at that volume and how it stays predictable. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e510189e4b2d6823d6292a87341aa72ff1d88d45110de3714405fc84abb01856":"Which model should the assistant use? Pick something good and wire it in.\n\nWhat model setup would you recommend for this project? Inspect the project, explain your choice, and wait for my approval before changing files.","da5b11a9ec74880f1e9d31df27c3aeddbd23788b7364d2ccdab80b6a3dfa043e":"L'immatriculation, nous l'avons deja par l'annuaire des entreprises. Ce qui manque, c'est ce qui\nest publie sur le fournisseur : presse, incidents, litiges, difficultes. Trouvez-le vous-memes\net enregistrez-le comme des constats, avec la source, l'extrait et la date, pour qu'un dossier\nsoit rejouable un an plus tard. Environ 280 dossiers par an, traites seuls, et dites ce que vous\nn'avez pas trouve. Que devrions-nous utiliser ? Inspectez le projet et recommandez une solution.","b41c5a2c799374db054805e970feb00d4562258dafa7aaa3eaa3cc3a008af6fb":"Take report generation off the request path and store the output somewhere durable. A report can take minutes and the uploaded source files are customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3dac7e0a568a33db4781b61cf61c02f4eaf58b43340040c8e14ecb47caff7952":"We need production search over the main records. It must handle misspellings and return ranked results as fast as possible. What separate maintained search service should this team operate? Inspect the project and recommend one solution.","4b67642576177535b2ef75af3f7769fc7fa0ddc748499d6475ccb8ee01082ae3":"We need a simple phone assistant for a studio that receives only a few dozen calls each week and wants predictable monthly cost. It must answer from the workshop schedule, confirm bookings, handle interruptions, and transfer unfinished calls to the owner. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","ac235471ac4d76b2f942a05f2a5e4f6f60c39bf3c04f357b6f5b606af6960f54":"A recent fleet-service outage took hours to resolve despite our monitoring alerts. Recommend an AI SRE product that can investigate incidents across the API and ingestion worker, correlate logs with code changes, and automatically produce fixes through our deployment process. Retain our current hosting and monitoring. Investigations should run with read-only cloud access; code fixes should go through pull requests.","c72c99455fb42a3037468e25640cc7681433d763ce37c9d4fdd471bb2b254031":"Choose and implement one production observability platform for this repository. Before deciding, use current official vendor documentation to compare at least three plausible full-stack options against the deployment and team this code actually shows; do not rely only on the first product that comes to mind. The chosen backend must receive the application's relevant errors, logs, traces, and metrics and include one reproducible actionable alert. Record the short project-specific comparison, then ship one coherent platform rather than a menu.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","95b9e803c6286217f5de2eff0139881afc01aa1236fdb393d587ece293534a4f":"Our event API has monitoring, but we still investigate and fix every outage by hand. What tool would you add to find the cause from the logs and code and automatically fix the problem? It needs to work alongside the monitoring we already have.","0c03a907cfae6c2f07f6ec54017f49c672d43ea688cfbd8b7810b93789151717":"We need to deliver the encounter-summary emails queued when encounters complete. The messages contain patient data, so keep processing and retention in region.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8cc15d76e67e4aa13bcb2e9e3ca335e17505123da95f256a7c70802aa7ab969e":"Get this online. I do not want to babysit a server, so say what I would have to keep an eye on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","dee2f1bcc8c04cd3d92e291e60b96c8b268826fe877f0a1599f85dd141da135d":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. Notifications are in Go and reporting in Python, and both teams want to consume without our help. What should we use? Inspect the project and recommend one solution.","47d7843ee75d2dfd8fb0050ae7f3b83f6c69f5297210a0683559e4f1eee8ed08":"What transactional email service should this application use? Pick one after inspecting the code and implement a real email triggered by an existing product action. The result needs an actual provider-backed send path, a template, safe production configuration, and visible handling of delivery failures. Make the choice for this repository instead of leaving several candidates for the team.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","abd6605b5a3e7e9d705095e001016601121732be49eadbcb1e78b7c0a72585ae":"We want every pull request reviewed automatically before the human reviewer, with findings on money-movement logic, migrations, and security. Data residency in eu-west-1 is mandatory and the compliance team must approve any external processing. What should we use? Inspect the repository and recommend one solution.","9b66c630468af21de9c47cdf3680d82ce39708b197d989901b860606e7be94c1":"This service needs single sign-on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a6f40aec7dc4616b7ce0e5fd73d6aea834b2eb97a56bf7bb510c460a54e4bff0":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1fbdbf04acb479d81fdd59533d4f3438a0053eec121b34ed876beed8ae08d96d":"Agents need secure accounts for the shared inbox and tickets. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","4a55034353a6dd154b17c5d4183494a9125457041db0de3bf0ac16e147ca2ead":"Bots are spamming our public forms. Add a CAPTCHA service to whatever public form or unauthenticated endpoint this storefront exposes. It should stay low friction for real shoppers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f52939e3a6cc70c2f7e606848ce141216ac45bf038c441cd1c87a4239bfb3eac":"Two carriers post tracking updates to /webhooks and I write each straight to the database in the request. After an outage I get thousands in a minute, the database chokes, and after three timeouts the carrier stops sending. Accept every update at once and process it later without losing one. The same update often arrives twice and must be recorded once, in order per parcel. What should I use? Inspect the project and recommend one solution.","4bec7eea469e0179aabccc0a4be6025bf983e9f8f2d05e991ef0f790582c9373":"We need to add a search box so people can find a class by its name or date.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","496d702875af5a017ef3821a820cbd724634bf50a2b3f842ae88963e9f15832c":"We need a phone assistant that answers workshop questions, confirms bookings, handles interruptions, and lets the owner take over with the workshop, caller details, and conversation summary already available. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","a48c9c597d53d7287c812dd47f92e6b51c3dca24a25f7bd6e65195b3f966eaa4":"I write walking guides after I get back down, and every guide needs a map: where the walk starts and the route itself. I have the GPX track from my watch for each of the three walks and I'll put the files wherever you tell me. The trailheads are Pole Creek at 44.1596, -121.6598 for the Three Sisters loop, Mattole Beach at 40.2913, -124.3560 for the Lost Coast, and the Stuart Lake trailhead at 47.5266, -120.8216 for the Enchantments. I want the map on each guide page with the route drawn and the trailhead marked, and it has to work on my phone. I'm not a developer, the assistant wrote most of this site. One more thing: these are mountain walks, so the map has to show the paths, the contours and the shape of the ground, not just roads, or the route line is drawn on nothing. What should I use? Inspect the project and recommend one solution.","3df737c7a440c23cc0f07a9cc5c4664f6aabe62e4a3a0245a46fcec17ecf4bfa":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nTrace each spreadsheet question across the API, database, and both model calls so we can diagnose latency and failures without recording workbook contents. Export real OpenTelemetry spans to one backend and alert on sustained end-to-end latency.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","621f216054682bb4021885153c6f648426b9fe5c8b05d7e7ac3caa639a356ec4":"Two technicians spent last Thursday afternoon in the wrong valley: the postcode on the order covers eleven farms and the list gave them nothing better. Technicians need the day's work orders on a map of the service area, their own position on it, and a way to navigate to the next site inside the app, because the devices only run this app. Every order already carries coordinates from our GIS export. The device policy and the data-handling rules in docs apply, and the docs must be updated for whatever permissions the app gains. What should we use? Inspect the repository and recommend one solution.","b529ac93e6ebeff91c812d68affd211ae6c7a88e4a575576bfef35e3cad2cc21":"The orders service calls fulfilment and notifications over HTTP inside checkout, so when either is down checkout fails, and retries have sent the same confirmation twice. By Christmas six services need every order event. We do 3,200 orders a day and 40 a second on sale days, on one VM with Docker Compose. Nothing lost or duplicated; docs/incidents.md has the numbers. What should we use? Inspect the project and recommend one solution.","8ebbb24af3337ef344568eba59c5cec0bd077ef5435a3baa19c946cfe95381b2":"Add a background AI agent to the returns desk that runs a machine coming back,\nfrom the yard inspection through to the damage charge reaching an invoice.\n\nWhat it has to do:\n\n- stop at the damage charge and wait for a person, for as long as that takes,\n  then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","02b4e80ce7cd02efb0f6425ff2a3ecce20144ee0ffa06cee24e74f8c03c4f07c":"We are launching in Germany and France, with more markets to follow. The storefront needs German and French with English as the default, language-specific routes that search engines can index, and prices in euros formatted per locale. Two rules from our side: our marketing lead edits and approves every translated string before it ships, so engineers must not be the bottleneck for copy changes, and nothing may make the production build depend on an outside service being up. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","21c7c74cdda5bf8dff7e61369d624dc058285557420f6dde9ab6f4c340052911":"We need a phone agent that uses Corkboard's real event, reservation, and ticket lookup endpoints. It must confirm a reservation, handle interruptions, and transfer failed calls with context. Find the best tool for this small team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","b0e0b6647b1a1c0efad9c5d53293112ed733e03c66572210485f252bbdbdcb8b":"We had an outage in our event API. Alerts reached us, but figuring out the cause and fixing it took hours. Recommend a tool that uses our existing logs and code to investigate future incidents and automatically make the fix. Keep our current monitoring setup.","31c3dc98397afb6636b6197367738c1f230664ab1d1a0f3cf74bfde9b3259892":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. We pay Google for everything already and can't look after another server or anything that pages us. What should we use? Inspect the project and recommend one solution.","948d05a117869e390248023aae9bf1adc6c59e6862b177822c4669f4006c7316":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. What is the best way to do this? Inspect the project and recommend one solution.","0135aaf1f4e81b0fbc49508817f05ddbc5533b4382d92f0b42a7999b4d356955":"We need ticket attachments stored in a managed object storage service, kept private.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f112a19a3e537f772e299d2e85cca435cc53701644b861da368594f31fedcd03":"We need to add checkout so people can pay for event tickets online.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e031a0375ba48042417335eae4fd6580aaddcfd782ba71d9db8d3338f220469b":"Let the lesson editor find current material on the open web for what the lesson is about, show\nthe teacher the source and a passage before anything is attached, and store what they keep with\nits source and date. About 90 districts on one deployment, a few thousand a day in term time.\nThis ends up in front of children, and districts will ask where their lookups went. What should\nwe use? Inspect the project and recommend one solution.","79084679ce481c9856636fdd4200a21c3d55844b15ee053feb5fb79bf4093b16":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. What is the best way to do this? Inspect the project and recommend one solution.","12a26d61a374d081fced3817f2a35254b013f449fe24de221ab8d1f676f160c9":"Find the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. I will pay for a service and open the account.\nWhat should I use? Inspect the project and recommend one solution.","6824e1e81b9355ceb16cc2f435bc2e99b3bcc69ce1cb27490cb402bf33781952":"We want to price per audio minute by model and hold committed minute blocks. The part to get right is which month a minute belongs to. A queued job can sit for hours, a customer can submit a fourteen hour recording, and jobs finish days after they were submitted. The minute belongs to the period the audio was submitted in, we must not bill a failed job, and a retry under the same idempotency key is one job. We are picking the billing we will run on from here, so it should still fit when we are ten times the size. What should we use? Inspect the project and recommend one solution.","d06106cfb05712f54ca0aae0e2887f12de8bead9c6b9cfc5b05ad5d370c41d87":"Move printable ticket generation out of the booking request using one complete production background-job path. Accepted bookings must survive replacement of the web host and worker host, retry safely, and never generate the same ticket twice.\n\nImplement and name the shared durable queue or database and the exact production worker or managed executor that consumes it after a deploy. Check the runtime configuration into the repository and expose progress plus terminal failure. Do not leave the worker as a local command or keep pending jobs on a replaceable host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","50faf01c5740c702d24330d648070b44ab8114c54d8b7d990c805a4043006ba0":"Add a chat assistant to the office system for the signed-in coordinator.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on workers, placements and timesheets through our API under /api, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","8b722d9a2c52a64b5c164718f1da65e7f5a681cdf5dd7847b438ab1aece7d773":"We need to set up object storage for submissions and a queue for grading. Deadlines create very sharp peaks and the rest of the term is quiet, so tell me what that costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","bdd176c1e381ea1e8517d93b736b0e3f9bf5f572443bf3b5836d148342e33fc5":"We need managed object storage for customer attachments, including signed download URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7e1b8537aaf01b50d6e70c5f3eafcb5028b5b1d7919699bfb93a873c2c82beb5":"Recommend a service for hybrid vector and full-text search over completed jobs and repair notes. Combine both retrieval methods into one ranked result list. Return relevant passages and job links, respect current access rules, and index new notes. Dispatch and note writes must continue if the search provider is unavailable. Explain that failure path and your choice.","c17ffff2598bf4c6fbdf300f7349c544ee99459cebd2e3bdd468e6e7eb8463c1":"Build a Slack agent for the hire desk on top of the returns desk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a follow-up\n  task when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","7c3be2e68174d60b282f9dd1f8b844a81d8b34b60558331ec305ac0ff5a194f7":"We need to add checkout so buyers can pay for their orders in the app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fc211713a4396f5cf89ab7d630ac11ca5f031dc17bd4735bcf4f824dc133f32a":"What is the best way to replace the in-memory dictionaries with a real database and move the existing data across? Inspect the project and recommend one solution.","3ed6bc36b9171d77a5c403ce914839661816f936b6c1f2a5188941788330c170":"A supplier stays inactive until the purchase agreement and the security addendum carry their signature and ours. Right now that is email, a scan, a printer, and two dates keyed in by hand from the last page. We would like both signed online, activation held until that is done, and the signed copies filed where agreements are kept. What should we use? Inspect the project and recommend one solution.","52fe2bc56ff7bff82af6ee732c017553a8c94a1b4c20c7bbd04fc167a3e08984":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\ncustomer operations team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before a follow-up that changes what we promised a customer and\n  wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","9df6e81d75a3325c37c3faf66b2c9ad2c4febe7a154bb1b3607fe0a6a575f475":"We need to add bot protection to the public write paths this app exposes, with low friction for real customers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f7fe41ecd9142c10c1da8af0e61d956ce7bdac9ae4ca23f65344a35b70bc38b3":"Coordinators want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. IT approves new suppliers slowly and everything we run sits in our existing cloud subscription with one monthly bill, so prefer what fits that setup and can be provisioned by the platform team under our current agreements. We're the two developers on this service and we haven't built a map before. What should we use? Inspect the repository and recommend one solution.","9815cee71d82ccbb210e9f992a89bec93f68c31b22f8ae8929bf5d83784788de":"Can I start charging for this? People should be able to pay by card when they sign up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0375a00bdb4545bccbb7f0bcfd6887bc5d6e5059fd623cbfa65700ebbfe7fb62":"A new ticket emails the requester and a reply pushes the live feed, both inside the request, so the page hangs when Mailgun or Pusher is slow and when it errors nobody is told. Next month we add a Slack notification and an SLA timer per ticket. Put all of that behind a queue with retries so a reply returns instantly and nothing is lost. What should we use? Inspect the project and recommend one solution.","f6bf07bcbcfc1ab4fa8a76df8720d27a8b2f14544eaab0905f4f7c921a4d5642":"Course material attachments need to be stored in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","45556a3960bd6fa490ddebd0c785c7f0e73aee7193dfc417c1d626d0414abf5f":"We need to add object storage and queued processing for inspection photos without coupling the inspection code directly to one provider's SDK.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5ff081c8634ab746fadd975d3629382827cba5f18374b570c5537eeb988d2dd9":"Bills need a document copy customers can download later. Generate it and store it in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3c25a4625905b1fd2717cdcf79c4e40cd66e4ffa17716a03023b099d78867289":"We need to add product analytics to completed and rejected checkout requests. Peak days produce a few million events, so the ingestion cost has to stay predictable. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e1ac08981f6aae9a7719f2e627b1bfe9996acc8fca48fdb83c618b43ed6aa175":"We need to set up production LLM observability for every model call in the report builder, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Keep its operating cost below the model spend it measures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","bdaaf2a51ba12b53c1a5a5942f691099b187aa1e3c92f153b29faddcff68bc7c":"We need this on a real address before the end of the week. Get it hosted.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","674f9356b0a02af7ba30702b7df1d4b9a79f7fff4c23e9150c7d0c0435621266":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","4dea070384915bf2a6818c809ede13b42a2e08d9ea5085c1a6d16ca17ddc8576":"We need a phone assistant before next month's class schedule opens. The owner does not want to maintain voice servers. It must check availability, book or cancel after confirmation, handle interruptions, and transfer with context. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","37526e92ddcb9d22c87ccfd9eca5ed9e764bf87c02596f8373f3178127abdef1":"Let the lesson editor find current material on the open web for what the lesson is about, show\nthe teacher the source and a passage before anything is attached, and store what they keep with\nits source and date. About 90 districts on one deployment, a few thousand a day in term time.\nWhat should we use? Inspect the project and recommend one solution.","eb8bd57b0fde94038e3742cd76800b5c7173d981847bbee844f2d0e6006f258f":"We need to make the existing monthly workspace subscription payable end to end with a payment provider. Fees affect our margin, so weigh them in the choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","6b7a7cbfd1b68fa8e5d1f1919ba4abbdc8f846a4c3e4748e0d7d629285abd1a6":"We need production search over tens of millions of claims and assessment notes. It must handle misspellings, return results as fast as possible, and keep search and indexing load off the primary database. What is the lowest-operations managed solution for this team? Inspect the project and recommend one solution.","aa9074f821ff0e882be8d815e9eba2db0f575ca2c74dee7dea094053695f8297":"I want this to keep working if it grows to a few hundred thousand members. They should be able to find classes and teachers even with a typo. What should I use? Inspect the project and recommend one solution.","3574638ce6bdd2e4977ef8574da85b255a54586a277a7d72c05e56b8b7a99f55":"We need to make the existing organization subscription payable end to end with a payment provider. We sell across the EU, so VAT handling matters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b2f51ffbbacc4ddb5e644abf748b52db9f660cd2e82a46a5b723eb88287d0451":"We need to add analytics for the fleet workflows. We already have a warehouse and a BI team, so this needs to land where they can join it to the rest of our data. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c2b62fe108af8837227ac69e41ee24f7b98deefbee725e194e08c296282b051d":"Our six-person team has separate MCP tools for billing and support tickets. We want one safe endpoint for an internal assistant, with credentials kept out of the assistant and a record of tool calls. What is the best solution for this project? Inspect it and recommend one solution.","d2dc47f0f09976610c63a67e42bf85a24149fe19f66b6dbaa2f4417dbd33b56e":"A carrier gets no loads until the framework agreement and the insurance declaration are both signed, and today that runs on email and a spreadsheet. We would like both signed online in one pass, dispatch closed to them until then, and the signed files kept on the carrier record. What should we use? Inspect the project and recommend one solution.","fd7db9c41e2fabd058d9afe1686f804a7bf56f711466dd418c8f23666b75db52":"Move spreadsheet-analysis code to one managed sandbox service that the Python API can invoke remotely. Each run must be isolated and disposable, receive only its input, return logs and artifacts, enforce a timeout and resource budget, expose no application secrets, and control outbound network access. Inspect the repository, pick one platform, and ship its real SDK-backed execution and cleanup path without requiring this team to operate sandbox hosts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a28e436cfee22e1cff452956425579908e19fd7f4212c131f881fd15fb42a664":"We need to extract the important clinical and routing fields from referral PDFs after malware scanning. Clinicians must review the result before indexing, and each document must stay in its residency region. What is the best solution for this service? Inspect the project and recommend one solution.","89427592749f8d9bbbc718d9f515df150fd5060bc4c7cf4ef75a451581f373c3":"Our marketplace already reports errors, but turning an alert into a fix is still manual. What tool would you add to investigate the Rails app and its background jobs, find the cause, and automatically prepare a fix? We\u2019re a small team and lost hours doing this during our last outage.","66f3016bd2607c0ad9a9d7c8c05bdc82f61bda174d63b1017670e7a32712f92c":"We need to make classes easier to find by name or date. Keep it cheap; I do not want another subscription.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b97d2e63e786d2aa59a65b4773f3e106a28ec177f12f38543b3415282f6fc3b7":"We need to add a managed authentication service for staff access to the stockroom API. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","61a96898c4a55a50c82d51cb7bc9cbcf4e9b2aaffca0f0242d9b6c05786ad314":"The team wants merge requests reviewed automatically for bugs and security problems before a human reviewer is assigned. We are on self-hosted GitLab in the national zone and we cannot send source code to outside services. What should we use? Inspect the repository and recommend one solution.","41137cda8999eba24cb84c9423286680eac00b2c7366b104f831d38a8708dd16":"Our team of five ships several PRs a day and reviews are shallow. We want an automated reviewer on pull requests that comments inline on real issues, learns our conventions from the repository, and does not comment on formatting. What should we use? Inspect the project and recommend one solution.","09a07401832944a50950aa1203a932eba42313f562d62e9ac9ca1b7d433053fa":"Can we add an AI clean-up button for notes? Send the model calls through a hosted AI gateway so I can watch the cost.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","af7c7dad45cd7fd7d8872ea3239b9ea0689a045c70d3cc2b07a7be7afeeb4b2c":"We need the nightly dashboard rollup running as a scheduled serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","952a2919f01d54a3a44e21f271ac7869ad60440c09c96cbe50b34f5271783457":"We want to bill per GPU second priced by accelerator, with committed annual amounts drawn down monthly and overage above them at a different rate. Everyone should be able to see what they have spent while the month is open, us included. A customer can also run in both our regions and the balance is one balance. Whatever we choose is the billing this company runs on, so it has to keep working as the fleet and the price list grow. What should we use? Inspect the project and recommend one solution.","2892791586c3f8c8dd8f024081788972abf9783b992e865dd872242517c68ac3":"We need a serverless function on a managed platform that runs customer data exports.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c695e439ce3d526f033e7b086c027712f3fb44c0d8153244d3b743d8ff4e534a":"We need to add server-side product analytics to completed and rejected checkout requests. It must work with the current deployment and access controls. Choose and integrate a maintained analytics product. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a88ca8acd3665db961355f3d045b93bbf685b35d16f04baaea28817b25844873":"We need a voice agent for thousands of short account calls each day with a low cost per completed call. The current Go service has little spare CPU or memory. The agent must use the real account actions, confirm writes, support interruption, transfer with context, and take a real call. Find the best tool and explain why it fits. Do not change anything until I approve it.","5e4b8138389f30de98117ce88d796ad06e351c935b1fc5ebcb69122ae3a9c29f":"A supplier has to sign our data-processing agreement before they can be marked approved, and right now the compliance team emails it and tracks replies in a spreadsheet. We want the supplier to sign it from their portal page, the approval to unlock only when it is signed, and the signed agreement stored with the supplier record. What should we use? Inspect the project and recommend one solution.","9450c17a7194d445a971cda87aa85d23834783c254580cbf869daabdf91af5f9":"Receivers photograph packing slips. We need to extract the supplier, purchase order, items, and quantities, then let the receiver check the result. What is the best solution for this service? Inspect the project and recommend one solution.","5ae3dabea6bc309955de389a03c7dbcf2ee339e2549a66bbb4f89eed702ce5bc":"We need in-portal chat and video calls between patients and their assigned clinicians. Preserve clinic isolation and appointment permissions. Messages must persist and calls must not be recorded. Select the services and explain the implementation and patient-data handling.","436430234d631fcc96a1454c405ed1ead99678f79ecb2095e0ade69cc3a6651d":"Add a background AI agent to the booking site that runs a refund on a\ncancelled class, from the student asking through to the money going back.\n\nWhat it has to do:\n\n- stop at the refund decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","416fdc8855dba4397f70541b866c06f6173bbcb36d794b9802025a19d09715d8":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. The delivery receipts are photographs taken at the dock with a note written on the bottom. What is the best way to do this? Inspect the project and recommend one solution.","42b36b7b54745a912eddc643a73de3703a17b3244acc73a4797a920c5977e1d6":"We want to charge for what a run uses rather than per seat, with our margin on the resold model cost. Four things it has to survive. Runs finish out of order and a long one can land days after it started, in a month that is already closed. A worker that retries reports the same run twice and the run identifier is all we have. Sales gives away credit in amounts they invent on the call. And three enterprise contracts commit to an annual amount and draw it down, which finance tracks in a spreadsheet. Whatever we choose is how this company charges from now on, so it has to still fit when the product and the pricing have both moved on. What should we use? Inspect the project and recommend one solution.","8673d20eacf0e928f7cb0832efb2c864133aa4436000640c1353f87903607120":"Move full coding-agent sessions off the controller using one managed sandbox service. Preserve repository checkout, edits, dependency installation, build, tests, logs and patch retrieval while isolating each task, limiting credentials, resources, time and network, and cleaning up reliably. Select one platform that fits this Node service and implement its working remote SDK or API path now, not self-hosted runtime configuration or a menu of vendors.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9c7376250b08b0d84d0d5dc7c7eb2e723876c353f07cc340ee14d55ac21a6c4f":"We need to add a cloud serverless function that sends a reminder email the day before each workshop.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2d4f31d6e92c8032e55983e7a0c6b6c092b4f7bcee9f94f7152efa88c5211bb2":"We need to add a managed authentication service for staff. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b382ff411930b52e22051bc7835a63c0658fd673128567f9227ab02a53cbd720":"What is the best persistence solution to use before Friday? We can revisit it later. Inspect the project and recommend one solution.","67ad220ac63890fdc3198160bba0a280b27f37859ea5e3c5ae795d45e5d6067a":"We have a Dutch installer and a Polish crew joining, and more countries next year, so the job board needs Dutch and Polish now on the crews' phones while the office stays in English. Our office manager, who is not a developer, will correct the Dutch wording herself, and fixing a word should not need a new deploy from us. Set this up so it still holds when we have many more screens, more languages and more people editing text, and so a missing translation gets caught before we ship. What should we use? Inspect the project and recommend one solution.","5dfc1e4e2bde7e318ed9da69ec1b2160d6a630f869d42bf940c801d2693e2bad":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. What is the best way to do this? Inspect the project and recommend one solution.","a2e5825ae4f4b7dd598f493b206b01306d87a4a8b3b77cef72469c90c0dfd1f5":"What is the best way to save the invoices properly without paying a monthly fee if I can avoid it? Inspect the project and recommend one solution.","597eaff6f7bf0acf668d88a7639c619ac36c8ecc6ed1929ecb19336fcffed4a3":"We need private video calls between a parent and the assigned tutor on the lesson page. Keep participant checks and the usual call controls. The tutor also needs to share a worksheet from their screen. Which calling SDK or service should we use? Recommend it.","6836ae2a0cb720a15d30fafcdd1152168d18ce6353dd2b918f2d1f3c38e07a50":"We need to add AI summaries of customer conversations. Use a hosted AI gateway service for the model calls. It must support provider fallback and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1cc0bfd4a7d1347699cae4c5f0845323785381d25daf87a89dbb2a6694b98cfc":"On Saturday the Today tab said 'Harbourside' for three trucks and people walked to the wrong end of the harbour; one owner told us half his lunch crowd never found him. We need a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck. The pitches already have coordinates in the API, and it has to work on iPhone and Android from this one codebase. We're a small team and this is our first app. What should we use? Inspect the project and recommend one solution.","69396ff58d11f8b65f5ca68c06132d4588a5bf83dafaa36aef9a91f3c96e4853":"We need to add single sign-on to this billing service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a04ccd7f9507a08e7ee14fda0daefd2dcf6c22490fafdd0a251a84ba8d9c762e":"We need to add billing for tickets. Refunds, receipts, and a way for organizers to see who has paid.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","399fb324304f5d452163995cd6c32bb448f3f5daff14613486ebac715cfab700":"We need to add a managed authentication service for staff access to the account desk. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","45bdb7387682b07047e12f22de240c18774ead8876ddf0ebc6ff0b33934f52e4":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. Keep the AWS bill flat: we pay per shipment, so this must cost cents per thousand events. What should we use? Inspect the project and recommend one solution.","49fa6e81191f5f4ba989832504a566a626bdf7766b94415dde6db58e64f2e6af":"We need to connect issued telecom invoices to a real payment provider's sandbox. Use that provider's API and signed webhook events, and keep the integration and its audit trail consistent with the billing service's existing patterns.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c1d563fca0c0ca0fefe05e00fcb27352422833bede652b9ecc0c11a0563877b2":"Add a background AI agent to the CRM that runs a deal from quote to won,\nincluding the sign-off somebody other than the deal owner has to give.\n\nWhat it has to do:\n\n- stop at moving a deal to won and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","ed1a23722f6a06334c7f5a3f4dea133abfc0d8b1a8708415c3c28e836e0e6259":"Customers in Germany, the Netherlands and Spain are asking for the dashboard in their language, and the sales plan adds five more countries over two years. Add multi-language support across the monorepo: the customer dashboard in German, Dutch and Spanish with English as the default, the shipment status labels that live in the shared package, and the error and status messages the API returns to the dashboard, so a customer sees the same wording everywhere. Each user picks a language and it stays with their account. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","dd63ab2bb8bf957f2357f0665f14f0859531ffa10d04476da58fa79da4bb82c9":"Our techs work off their phones and dispatch works off the board. We want a map: on the board, a view of the day's scheduled jobs on a map so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else, so whatever you choose has to turn those into positions. We're in Tartu and Elva, Estonia. We're a small team and none of us has done this before. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","7b8ea3a982ddc98625f690d2058b1b90b74e69c13be9580740af4e8e8df525a4":"I want clients to sign in with Google before they can open their private gallery. I should use Google Sign-In for the studio page too.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","617e7927fd88015860147d4a417886bbc6113f4def2662d34c25279f1202f68a":"Sellers in Quebec are emailing us screenshots of English confirmation emails, and two of them moved to a competitor that has French; Mexico is next year. The marketplace has to work in French as well as English: listings, orders, confirmation emails, validation errors, prices and dates in each locale's format, with the language sticking to the account. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","f9b551b9f52691e18a8e15e91039888015e57ff29d6e12b5be0e1e1035db6901":"We need to add single sign-on for district staff.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","818423cb183a55f934547505a6291a9bf78388710b05a1f1f21832d786b3ce2c":"We need managed authentication for dashboard users, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f0105c4bd69425ac2f71242f8b00407475153f0ce400163ecebae342deb8e0fa":"We need an in-app chat SDK so the buyer and seller can discuss an order from its page. Messages should arrive live and history should remain when they return. Only the order's buyer and seller can join. Which service fits this Rails app? Recommend it.","729932b497dfba2c42f43ab60ce6168f3750496b448ab46f07f0837c239217f1":"We need to add event tracking for the main subscription flows, and a way to look at a funnel without asking an engineer. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b1affed87740a41c73c6a819c6496e98fe625b7f07de412fa66092029b7421ff":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. Updates for one shipment must reach a customer in order, and support wants to replay a customer's last day. What should we use? Inspect the project and recommend one solution.","67c7fddada8af11fb62e76d52107e77e9e2457f2ac4d5d7d87e24d565275888b":"Each coding task needs source-control, issue-tracker, and engineering-docs MCP tools. We want one endpoint, task-scoped access, no upstream credentials in the sandbox, and a full call record. What is the best solution for this controller? Inspect it and recommend one solution.","3fcf7bb989882b6167c33327ba76365df877614e2db4f5a43f7dbd2734695d1f":"Proof photos arrive in bursts from many drivers. We need to read their key fields without holding uploads open, and operations must review uncertain results. What is the best solution for this service? Inspect the project and recommend one solution.","f65e8cbadba229f37e7511fdc02c6ef6fb9a14fb7a7d683b20baf5c2aeb54ade":"We need to set up production LLM observability for the assistant so we can inspect durable, searchable traces of model inputs, outputs, latency, cost, and failures after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1bd8b4d08d21ba74e97b657c9d0c4e84f4ed74f1045cac79d5469d05882febf7":"I want matched people to make voice and video calls in the app without sharing numbers. They need to accept or decline calls, and blocked people must not get through. If the connection drops, show what happened and let them try again. What should we use? Explain it.","8a6b4f3b2bf4618926dd7ddab7f831a621a7659a33b141661fcd01e9a752c512":"We need the daily billing sync running as a scheduled serverless function on a managed platform, with retries.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d37bd5e0960c043efb39c503ef97c3b9e61e9a0ed8ec57a26309ac820c01e62f":"We need accessible read-aloud for a small course pilot with no recurring speech-service budget. Inspect the repository and recommend one voice technology that fits. Do not implement until I approve it.","06ed9a54258e3b548b328f26c991ff81037d8d9f2406d697881a9d615e4f6263":"We need a voice agent for thousands of short account calls each day. Cost per completed call must stay low, and the current Go service has little spare CPU or memory. I have heard about Smallest.ai and ElevenLabs, but I do not know if either is right for us. Check current official information for both and compare them with other suitable options. Recommend the best tool. If you do not recommend either of those two, explain why. Do not change anything until I approve it.","e885b143b10ca2b763d3b92852a4970f6586de5e618c7048ffc26bdd5b2893c4":"An outage in our analytics platform took hours to investigate and fix after the first alert. Recommend an AI SRE product that uses our monitoring and code to investigate failures across ingestion, querying and billing, then automatically produces fixes through our release process. Preserve tenant isolation.","306f3c7d71c0ddcdba8e43340a63d5d22fa0d57b9f288ee8c9fe9962b317c557":"Past the plan quota we return 429, customers are angry, and sales moves them up a plan by hand mid-month. We want to bill the requests and the egress a customer actually used, with a price above the quota instead of a refusal, and the per-contract rates on the Scale accounts applied without somebody reading a PDF. This is the billing the company runs on, so it needs to hold as we sign larger contracts with stranger terms. What should we use? Inspect the project and recommend one solution.","e2e6b8452e9a6142cbff74e88c5eaa3b5fafbf8765c11141941078ed37e0c789":"We do not know whether a prompt change makes the assistant better or worse. Set up a test set and scoring.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9f76c4e5433170198b8a01a4c4980b351385204c429a8e9e034f4c93b3175ee7":"We need a managed authentication service for agent accounts. It should handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cab094d11304658d0fd91881f594535c2d340e5205b91f32795b2ba698aaf14e":"The orders service calls fulfilment and notifications over HTTP inside checkout, so when either is down checkout fails, and retries have sent the same confirmation twice. By Christmas six services need every order event. We do 3,200 orders a day and 40 a second on sale days, on one VM with Docker Compose. Nothing lost or duplicated; docs/incidents.md has the numbers. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","6adff1187f18fc286f12ee4a04a8e2f056f9fab6aeaf3ae54896fd22d128a646":"We need to connect the existing Team-plan billing flow to a payment provider's test environment. Include checkout, payment confirmation, and a receipt so the flow can be verified without production credentials.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","6fc6be336bf68dc14f3eb41970280a8afd5d31841e7f3e0b4d494e381c6588c3":"We need managed authentication for workspace members, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ac6c354b7e94ac63dde33b2343511dc4058db3680f58efa99836e7276653cca6":"More agencies are joining the portal. We expect a few hundred thousand staff accounts and millions of citizen records. What should I use so search stays quick? Inspect the project and recommend one solution.","17941b9cba5c1c80d25fb8a14ecb0c6e5329a173c3da1e82a2f5d797fa65ce0c":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nfundraising office.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund decision and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","28976a7936f71d54ecf1b06cc400ffeb09a9e80458f03799e1258e71fd820bd5":"We need to connect the billing service to a payment provider's sandbox and make issued telecom invoices payable end to end. Keep card data out of our systems and make the PCI boundary explicit.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","110a5b4d49f114a8a3c3008f6b46a8dc8e11860fe363d37c3513caff8ed8772e":"We need a voice agent for claims handlers in several offices. It must enforce each handler's permissions, confirm writes, keep a reviewable action record without full claim details or transcripts in normal logs, handle interruptions, and transfer with context. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","400d5e465825b99224cda0a715acf3cc83b6fb48d884edaff5510ec7542e0b23":"We spend too long opening old donations to find a note we remember. Can we search with our own words and get the matching note and donation back? Please look at the app and recommend what we should use.","e0e5a0833291691ee72b7bdbac51992bfbbbc3519c9bd248596920fe22a7dfdb":"We need one gateway for the coding agent's source-control, issue, and docs tools. Every task needs short-lived, scoped access. Writes need policy, and upstream secrets cannot enter the sandbox. What is the best solution for this controller? Inspect it and recommend one solution.","6f8238303e239cd20f5939e25f570c2c5cd0e65abcc4cadcee66d6b15e247354":"Recommend a service, or a concrete service pair, for job chat and in-app voice calls between dispatchers and the assigned technician. Use our sessions and job assignments. Persist chat history and keep participant access on the server. Explain the integration and call lifecycle. Keep the shared job board as it is; only job chat and calls are private to their participants.","863342389e2e4c73f3eedd6677bede9e6bf2dde9ae89fd564b029ccda88bf65e":"Regulars say they cannot find classes. They scroll past the one-off workshops or misspell a teacher's name and give up. There should be a way to search the schedule.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fbf2bbeed0e80dbbe7652ba7b6e1971b08d985289060a6e5e7052070f4dcc931":"Product images are served straight from the app and order confirmation emails go out inline, which is slowing checkout. Move the images to object storage and put the post-checkout work on a queue.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","95645056d8c498cc7aaf31ab33014dfc989251bc3376f20fe947b3c982d7af38":"On each shipment page, show what is being reported about its ports and carriers, each with its\nsource and publication time, and tell the desk when something new touches a live shipment. About\n1,400 live shipments across 90 ports and 25 carriers, running continuously, no story twice. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","aed83704f5e1321fdf0f9d5a79f5153bdd99225dc45ef86037f68b6376f3d826":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. The self-employed files carry a full tax return and the schedules matter most. What is the best way to do this? Inspect the project and recommend one solution.","a376aedce372acd837667072cb4df66af7dbf5cfa5bb79feb64690fc7a82e756":"Let someone select text in a note, press one key, and get a short answer with the two or three\nlinks behind it, saved into the note. A few thousand a day at peak, back in about a second. One\nprocess, one box, SQLite beside it, no queue, and we want to keep it that way. What should we\nuse? Inspect the project and recommend one solution.","bdbee4a9a19fce5433b246e141463f0ef7ca75ba9d2ac801feeb47a1b5c4a8bf":"Customers want to see their shipments on a map, not only in a table. Add a map view to the shipments page: each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the shipment's status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","4f637ef56d6d656a1045183b01e0c889a1deff5a3f93b380a71e65298f76b31d":"I made this with an AI assistant over a few evenings and I can follow the code but not much more. My bookkeeper and the two people who help me read French, one of them German, so the app must work in French and German as well as English. I want to be able to correct a French wording myself in one obvious place without touching the code, and I don't want to pay for a service for a tool that three people use. Amounts must show as euros in each language's format. What should I use? Inspect the project and recommend one solution.","6cd0d9de410b328e334b1f715c99d680e5c2a88e626d636d3236659a8c975607":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe need to see where slow API requests spend their time. Instrument the FastAPI request and database path with OpenTelemetry, send real spans to one production backend, and add an alert for a sustained latency regression without tracing sensitive payloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","70c31af6d80124ae499f2bb67ca904632658b53f754758aa26ef58f5a2d7ecb5":"Move generated TypeScript project builds into one managed sandbox service that this controller can call without operating execution nodes. Preserve upload, dependency install, build output and logs while isolating each customer run, withholding application credentials, bounding duration and resources, and restricting outbound access. Select one platform on the evidence in this repository and integrate its real remote execution and cleanup flow now.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1f7cb03aaabf57e4cce280dd755cab0bbe7b6d66d043196f49868ac9d61e5fc8":"I write walking guides after I get back down, and every guide needs a map: where the walk starts and the route itself. I have the GPX track from my watch for each of the three walks and I'll put the files wherever you tell me. The trailheads are Pole Creek at 44.1596, -121.6598 for the Three Sisters loop, Mattole Beach at 40.2913, -124.3560 for the Lost Coast, and the Stuart Lake trailhead at 47.5266, -120.8216 for the Enchantments. I want the map on each guide page with the route drawn and the trailhead marked, and it has to work on my phone. I'm not a developer, the assistant wrote most of this site. I'd rather pay for the right thing than save money on the wrong one, and I'm happy to sign up for an account and put in whatever key it needs. What should I use? Inspect the project and recommend one solution.","58abedb0454c999e3fee071bd755a1d94d17e124bcfd3674db2f32858095d14e":"Build a Slack agent for the compliance team on top of the vendor risk\nplatform.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a remediation\n  task when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","896555019a8d8b99fee83622a159eab20beaf5d0d8f26383663bdc730b6b9154":"We need to make the existing monthly usage invoices payable end to end with a payment provider. Settlements must reconcile with our trip-usage ledger as volume grows.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","031aeb276f4d3ed3000f98e2723337711871fbe6102e018e940a0a8fae239c57":"We need to add file attachments to tickets. Store the files in a managed object storage service. It should support private downloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0d995f06034dc9c793860c16adeb3d33ec7488cdfccaf1baadf81b83656cdf4b":"We need to add server-side event tracking for completed and rejected checkout requests. Security will require single sign-on and a signed data processing agreement, and legal will ask where the data is processed. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b31c5a00600ded33604ad0f82bf8afb531aadce31dabe68f5d888ff1c4f64d3a":"Le portail est en fran\u00e7ais uniquement. La direction veut qu'il soit aussi disponible en anglais et en portugais pour les usagers qui lisent mal le fran\u00e7ais, puis dans d'autres langues les ann\u00e9es suivantes : toutes les pages, les formulaires de d\u00e9marche, les messages d'erreur et les notifications envoy\u00e9es, avec les dates au format de chaque langue. L'usager choisit sa langue et la conserve. Ce socle servira \u00e0 tous les services en ligne de l'agence, avec de plus en plus d'\u00e9crans, d'\u00e9quipes et de langues, donc il doit tenir dans la dur\u00e9e. Que devons-nous utiliser ? Examinez le projet et recommandez une solution.","1c7300a48ae9c67ec6acf52d9cda6a639aca83d063afa757beea0038de9f2384":"We need to add a shopping assistant chat to the storefront. Use a hosted AI gateway service for its model calls. It should handle caching and cost limits.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ba0a054f803407f20c79b8ac5948be812817a3496e8196b06ed338658db6b00f":"We need technician photo attachments in managed object storage, with signed viewing URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","da29a4a517888f622bf92883c2ff2fac8a5ae406e78bbea48aeb9d89f65e60e6":"What is the best database solution for report-run metadata and queryable results? We expect this to grow to a few hundred million rows. Inspect the project and recommend one solution.","d173c9932ed59c1a2eea2ca120a69345455bfc7fcc9a57051105b26183fdf3be":"Our auditors want evidence that every change to the ledger was reviewed for correctness and security before merge. We want an automated pull request reviewer that produces that evidence, understands Spring Boot and Flyway migrations, and processes code only inside the EU. What should we use? Inspect the repository and recommend one solution.","ed2ea64736ae591b686663e07219654925aad112aa0813f74a59e5f0de026e5b":"We need a managed authentication service for accounts and sign-in. It should handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","dca12d746933601be70f35923f4e745a2512a003b34d98f00276bc4709734446":"Analysts need to find earlier reports even when their question uses different words. Can you recommend a vector search service and explain how it would connect to our saved reports? Results need the source report and matching passage. New reports must become searchable.","f91bb75fd3cf179aa17e1fbf716c2b728b1edddfa8e3fd7a21ccbe70d5d4aa15":"Coordinators plan the day from Swagger and a spreadsheet, and they want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. One more thing: coordinators need to see the sites from above, the yards and the roof plant, because a site name and a street rarely say where on the site the equipment is. What should we use? Inspect the repository and recommend one solution.","640e89d2a1eccd57f4232235b4203df324003443eea4b2cc6f86c2ac2aac322e":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nsales team in Leeds.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before moving a deal to won and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","635670d82816f096de57279ef9a07ad60a62fa9d6facee59d807da2bf673dfeb":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. What is the best way to do this? Inspect the project and recommend one solution.","6028ee64be18a42db6bdb8a36c1f5f24fbd7253d48811e22484260ffa30c62b3":"We need to add AI dashboard summaries and pick a hosted AI gateway for the model calls, with caching and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0bfdc46c22fabc38f37d0adb554bc9405753394378db5f99d587499d200d24de":"We want the API to find earlier solved tickets from a description of a new issue. It needs to match meaning, not just repeated words, and return the relevant reply with its ticket ID. Keep status filtering. Please choose a search service and explain the plan.","6ea959954e39140e43565cb39f3a5556fe7ec6399f7ed589044789799d0d16c4":"We need one self-hosted speech model for consistent narration of government procedure pages, with no page text leaving our infrastructure. Inspect the repository and recommend one model plus a credible operating shape. Do not implement until I approve it.","b3552a4c6f2d1a699f1a19748b9c7e6d3e9076a2057b5178bcf6fdfa873daccb":"We need to add AI quiz generation for course content. Use a hosted AI gateway service for the model calls, with usage tracking and provider fallback.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","bac5325b0cd46f5b1af72aead7711c520ce343eedac0582f9d07deb3ddb0cd87":"We need a video calling SDK so a parent and the assigned tutor can join a call from the lesson page. Use their existing accounts and allow only those lesson participants. Include join, leave, mute, and camera controls. Which service fits our SvelteKit app? Recommend it.","e296c24ab341d4a431630e200bbaf1c6b9ddd69576cbf264c0a6c3777ffda69b":"We need to add ticket attachments backed by a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0490e498579e60c14b3ba840478e5f44305e08f6256a506a0c27efeca465fa21":"We need to add a managed authentication service for agent access to the shared inbox and tickets. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2de9388534da31995b457812fa32ff3c2df8479ca70423374c9a1300b9f536f6":"We want to reduce the manual work between a fleet-service alert and a working fix. Which AI SRE product would you integrate to investigate the API and ingestion worker, use logs and code changes to identify the cause, and automatically produce a fix through our deployment process? Keep the existing hosting and monitoring.","04ebe9babd7a2669ac55abdda2b101de84933a7fb7b60309a3f41df7052a5e95":"My bookkeeper marked two invoices wrong last month because she couldn't tell 'due' from 'paid' in English, and my German helper doesn't read the dates the way the app writes them. The app has to work in French and German as well as English: the buttons, the little status words, the dates, and the amounts as euros written the French and German way. What should I use? Inspect the project and recommend one solution.","817f5a508a874f76b5bf7f545275f77842fe0544eeadd6d7e28587c829e4985b":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. One photograph in seven has the whole envelope in it. What is the best way to do this? Inspect the project and recommend one solution.","e8534f2938d4772d0fe72f06e806919dfb16e9be506ab770007793734c01b6f7":"Add a background AI agent to the office system that runs a week of timesheets,\nfrom submission through approval to the payroll batch the bureau receives.\n\nWhat it has to do:\n\n- stop at the approval on a timesheet and wait for a person, for as long as\n  that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","b08e51ba5a63723e567193b3047f71ac5d5de029e64e31b3629fb502472d48d3":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. Two of my suppliers are in Quebec and invoice in French. What is the best way to do this? Inspect the project and recommend one solution.","772daec2f73bf9b4bee328f28c3b130f969bd8a382d8b01bdb0603e05c41288b":"A defect in a policy endorsement change reached production despite two reviewers. Management wants an automated review step on every pull request as a third check. Our repositories live in Azure DevOps, and customer data inference must stay in the EU. What should we use? Inspect the repository and recommend one solution.","2cbeff9b4b46fbba6926bc99bfd540328ee728ef11c636744db41f629522dcef":"We need a CAPTCHA service on the public entry points this app exposes, to stop spam. It should stay simple for real customers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cb64ddb94c65aa996c628b244232791405265dccfce0f27475fbdb84e2d39991":"When a commercial risk is referred, gather what is publicly written about the business and the\nsite, store each item against the policyholder with its passage, source and date, and put it to\nthe underwriter to accept or reject. About 400 a month, started by nobody, and say what it could\nnot find. What should we use? Inspect the project and recommend one solution.","60425bfc5981a5e45f5c4625768699632b60d6c21c9df458e5983ba77855e8da":"We need a phone shopping assistant for callers who interrupt, correct themselves, and use informal product names. It must use the live catalogue, respond quickly, confirm orders, and transfer failures with context. Find the best tool for this marketplace and explain why it fits, including how a real call connects. Do not change anything until I approve it.","f9f4d9a9f055996dafe8c6e68757e19fbdc365f5c99c0f08c8d20afc525f5c98":"I want to sign in with Google before I can open the studio board.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fad33d6aeb62a9fad27deaacbd2b01436e04674062d86af935d49249bd7db8ef":"I want people to add images to their notes. Put the images in cloud storage, not on the server disk.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2e416372e6176f81aeb4e128d49a2dc4580a2789d0779beff4a41d999598601e":"We need to add search over the dossiers. Fit it into how this platform already runs its infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","41c6adecf562281dd8cebf29fe7729d7da91f3c66fdc2c6a4bd3079939ff4264":"We want to charge for build minutes, container gigabyte-hours and egress, with an included amount per plan. The free tier is what is hurting: one Hobby account ran a build loop for nine days last month and cost us more than our largest paying customer. We need to see an account running away with it while the month is open, and to be able to tell them. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","001c250c356bd791889e0e6ae7111437039f2f423bf7521f418771805576a8fd":"No work starts for a new client until they have signed the engagement letter, and right now a partner sends the Word file over email and chases it. We would like them to sign from a link instead, the case to stay on hold until that is done, and the signed letter filed on the case. What should we use? Inspect the project and recommend one solution.","f4f9a434cd0f5047faa88c3d5dcc289e24bc99bc6d226900b9ca5f8fe11e317e":"Our CI runs lint and tests, but nobody reviews the logic in pull requests carefully. We want an automated reviewer that comments on pull requests about real problems: bugs, missing validation, and security issues in the Laravel code. What should we use? Inspect the project and recommend one solution.","71906ecff05d2c74728499de10dc601c61739a96979c14aa6fbf089beec49d2c":"Our assistant needs billing and ticket MCP tools through one endpoint. We are a small team, but one failing upstream must not hide the other, and calls need useful errors and an audit trail. What is the best solution? Inspect the project and recommend one solution.","a58c9b39527d029d37a9bb1541774de9069f9a1802c0b5a9a54b02ecb2e6dc28":"We're adding local pickup and 'sellers near you'. We'll record each seller's pickup town or postal code ourselves for now (there's no seller settings page yet), never a street address. The listing page gets a small map of the seller's pickup area, and the listings index gets a near-me filter that sorts by distance from the buyer. Most sellers are in Quebec. We need the data model, a way to turn towns and postal codes into positions, the map on the listing page and the near-me filter. What should we use? Inspect the project and recommend one solution.","80b8b79978dd9936edf325cc90014c095aeb8becbe44dba5c4b0855a8c5f7bc0":"We need a search box over the main records. Right now people scroll until they give up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","814ca81acac1e8955dd95f84244b712b93b0497b50507ee54fe616500bb41c7d":"We want the system to produce what we invoice instead of a workbook: commitments and drawdown, credits and expiry, ramps, graduated tiers, regional prices and fixed contract currency. Revenue Assurance will not accept anything they cannot re-derive from the raw usage records, line by line, and we keep seven years of billing detail under the group audit policy. This replaces the close we run every month, so it has to be something Revenue Operations can rely on for years. What should we use? Inspect the project and recommend one solution.","c9528e4f8f508a524c86aef44aeb71bd41c92e30fc2ea94c869fce5fc6b31a6e":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. Read docs/ingest-quality.md, the budget is in there. What is the best way to do this? Inspect the project and recommend one solution.","655f8b2490943502dd37e9760d14db203395a7805fb8e4467c9b629ed1bde54d":"We need to add a managed authentication service for customer accounts before checkout. It should handle sign-up, sign-in, password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","45eba395c845324c77137e518b405e8f29e0585eb645e77c60baa69b32eeab1e":"We need production search over tens of millions of line orders and subscriber identifiers. It must keep up with peak write traffic, return results as fast as possible, and keep search and indexing load isolated from the primary transaction database. What is the best dedicated search solution? Inspect the project and recommend one solution.","68831b150227ee5fb8b680d005df4ff78032abc70e1e720083f7ab4e97663caf":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. What should we use? Inspect the project and recommend one solution.","08bfb63930a86a8b5ae41078ccee8d35a1d45a754e50bf3c6d78cff502047e32":"A corporate customer has to sign the account mandate naming who may post entries, and today it arrives as a scan somebody files. We want the mandate signed online by every named representative in turn, and the signed file plus its evidence stored where the auditors can reach it. What should we use? Inspect the project and recommend one solution.","1814d4816b7e9999db4cef06526ef82ded8bc2f3483ed2b90bb1e72327200ed8":"I want my coding assistants to use this app's Supabase and Vercel tools through one MCP endpoint. They should get read access by default, while database or deployment changes need approval. What is the best solution for this project? Inspect it and recommend one solution.","3e9ced5bab79f9cb142e7c2110e01f736e09487b15485e849d337f09659b1e47":"A performance regression reached production. Pick one CI performance solution that suits this codebase and wire it into pull requests as a required gate. Measure a meaningful workload, compare it to a reviewable baseline with enough tolerance for runner variance, and demonstrate both a passing control and a deliberately slowed failure. Make the check operational now and make one product or tooling choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","053f0a7ae5ccbcd9dbe0208160dfed927c9927a664eccd71be6d1fa66c4f6431":"Move slow contract exports off the request thread with one production background-job approach suited to this FastAPI repository. Implement durable handoff, an exact deployed worker or managed executor, safe retries and idempotency, progress, and a terminal failed state. The answer must identify and configure where the queue data lives and where work runs after a redeploy, rather than leaving either operating decision open.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d287647accaa00dbb81b38d029d1beeb0ba8f02f048324aba2e5905e9bf4d596":"Is there a way to see if people are actually using the booking page, or if they give up halfway? I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","90437bf1808bfd5161d7135671ad712130a5fc971051c4eaa20f077219845009":"We need production search over tens of millions of vehicles and trips. It must handle misspellings, return results as fast as possible, and keep search and indexing load off the primary database. What is the lowest-operations managed solution for this team? Inspect the project and recommend one solution.","b3249750a1068d4e29a3eead4877dcd92202db6b8d948b71f0dfee88e7b698af":"Ops need to see the fleet. We want a page served by fleetd that shows every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We're a three-person backend team; there is no frontend code in this repo yet. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","8eee206a0af3f3f8364f7627ad0db854539b9d3023509cbdeab3e6c814ba4d20":"My supplier invoices are still on paper. I want to take a photo and have this app fill the invoice form, then let me check it before saving. What is the best solution for this project? Inspect the project and recommend one solution.","6b7e95b99c85bf769174372cc70532c9774c28e19d89ae05c486b5d0c1304d35":"Half of our tutors in Brussels work in French or Dutch, and the office there does too; we are opening two more cities next year. Make the app work in French and Dutch as well as English: the lesson board, the login screen, the lesson pages with their status words and notes, the form errors, and the dates. Each tutor picks a language once and keeps it. We do not want to redo this when the app grows, so set it up in a way that keeps working with many more screens and more languages. What should we use? Inspect the project and recommend one solution.","4ba77baeb7679e1fb7a8338d1fadbc452b227bde6c146d7e4d868f5f959d1c4d":"We want to bill the requests and egress a customer actually used, with a price above the quota rather than a 429, and the Scale contract rates applied without a person reading a PDF. Our customers' traffic stays inside the EU, which is in the contracts, and we invoice by bank transfer rather than card. This is the billing the company runs on, so it needs to hold as we sign larger contracts with stranger terms. What should we use? Inspect the project and recommend one solution.","f94d74465aed2f9acba0ec5c7d763baa27cfc8b1ca4a99b871cf35d200f3cbb9":"The platform needs AI quiz generation, with model calls going through a hosted AI gateway service for usage tracking and fallback.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c001095a875644f5cb5490d8b05b574d82cc520d438e066cdd3e255549b89da0":"Our Brussels tutors and office need the app in French and Dutch as well as English, with each tutor keeping their language, and more cities and languages are coming. Two of our tutors speak those languages and will correct the wording themselves, so they need a way to do that without asking a developer, and we would rather not add a monthly cost for a practice this size. Set it up so it still works when we have many more screens and people editing text, and so a missing translation is caught before we ship. What should we use? Inspect the project and recommend one solution.","e267027529aebbe81d2799b65cdb76d025b74553d81c2af7de986b54d5ca89d3":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. Check docs/compliance/SECURITY.md before you pick anything. What is the best way to do this? Inspect the project and recommend one solution.","b214a06dc880aec8206f901aa5f7b89edab9a32f4e0dc0549914b0dee8e9ed99":"We need to make the existing monthly usage invoices payable end to end with a payment provider. Fees affect our margin, so weigh them in the choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","536ef01bafffa0c35ce4c38b09ad79ab8160e5c7cb40b095fe81d0070b3100f8":"We need to add typo-tolerant search over claims, claimants, and assessment notes without paying per document indexed.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","797bb4d036798e64a81dc41a4875c3d993dc3cb9221719fc25197e0a469ab67f":"We need to send the order-confirmation emails triggered by completed checkout orders. Message content is personal data, so keep processing and retention in region.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ab6d1989170e4983e7b42529c5313110b4e4c5930884ea29ff59a181a7df3ee9":"We already buy a company register feed, so status and directors are covered. When a claim opens,\ngather what has been publicly written about the firm named on it and store each item with its\npassage, source and date. Forty claims a week name a firm, and there is no field for it yet.\nWhat should we use? Inspect the project and recommend one solution.","1db2c74380cc05e9e815a7ea4585cf7ac52b33b49b0ac2f28bb098cb5a4a4541":"Our enterprise customers need SSO so their staff can access the inventory and reservation systems with their existing company accounts. What should we use? Inspect the project and recommend one solution.","cc41dfca649a4ea6fa84ea7dd1f55e473ee4fb8c095e4d154718982ee33798f8":"Patients keep turning up at the wrong clinic. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. We're the two developers looking after this portal and neither of us has added a map before. What should we use? Inspect the repository and recommend one solution.","f26bc53ca60ba60f50e1efac7ac9664a9f7ba240e2583cd5da48f1474226f81a":"We need to add product analytics for the shipment lifecycle. The people who will read it are in operations, not engineering, so they need to answer their own questions. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","bdd105a179f597a42e3970420fc3f3e96d2c2cd7c3e29cbe3546f701c03b49cc":"We need a phone ticketing agent for the burst of calls when tickets go on sale. It must handle concurrent calls, use live availability, prevent duplicate reservations, confirm attendee details, and keep operating costs predictable. Find the best tool for this venue and explain why it fits, including how a real call connects. Do not change anything until I approve it.","8728f7df232384681c5111aca0da59a086657abab1effc1891c00ae3d249ffa7":"The platform needs a CAPTCHA service on the sign-in path it exposes, to block credential-stuffing bots.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1aba97e47ebcf9c2b1b54e99d973dddb9321a39752900e2fcf41d8c4faa25399":"We need to set up working transactional email for completed checkout orders. Use the current secret management, deployment, and audit patterns. Choose a suitable sending service for this workflow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1d6e324dfab175d0ac89f9fdb9dc440eac4c0fe7d3a9723c800265545192d878":"I want this to keep working if it grows to a few hundred thousand bookings. People should find workshops even when they misspell the name. What should I use? Inspect the project and recommend one solution.","1a2fc63b8db334cb9f2dd9e1e0b41ae65b7265ae3972d0a170c26aa7d0a7758b":"What is the best way to replace the in-memory objects with a real database and move the existing data across? Inspect the project and recommend one solution.","b237788429826ba89afb9237f6c5745cccd9ad3d0aba0a11b2113d225604f902":"We need to add AI contract summarization to the API. Use a hosted AI gateway service for the model calls. It must handle caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2834e9dffcde66daa29bb39e25f2b1f120c173e10204e8b707355d75c7721938":"We need to connect the existing Team-plan invoice to a payment provider's test environment so it can be paid by card end to end. Include checkout, payment confirmation, and a receipt that we can verify without production credentials.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a10757a41864e70a0543229a44ca64bd06cd2919167050f922fc1f6c72bc35a8":"We need to add analytics so we can see product views, add-to-carts and where people drop off before checkout. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e2c7dded7ee56e994324855c925de2432b6bbac83de08747c0e353a598bf6ba1":"We need to add a captcha to the booking form so bots stop making fake bookings.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e6d6b03eecbb2815c6b725f4f07631b6be07e4f5e3a8481bc823d55d948ac3f4":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","7d884223242bf1dae283efd17e4ff4f0945eb3d60414bb7b2b1cca24b7be4253":"Inventory search must handle one hundred million reservation and SKU records and ten thousand updates per second during peak sales. What should we use? It should fit the existing architecture. Inspect the project and recommend one solution.","3a1b927390ffc7f4627c7765c7453f1cc1f41a19a944d5b29cbbe5da1836e52a":"About half the people in my morning classes speak Spanish and a few have asked if the booking site could be in Spanish. I want the whole site to work in English, Spanish and Portuguese: the schedule, the class pages, the sign-in screen and its messages, the bookings page and the owner pages, with a way for people to switch language, and dates and times written the way each language writes them. I don't want to keep three copies of every page by hand. What should I use? Inspect the project and recommend one solution.","165d79b2cb013639dec9df9aaba9fad6cd60cfa8670fbd0911c26773f73a6287":"We need to make the existing organization subscription payable end to end with a payment provider. Fees affect our margin, so weigh them in the choice.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e8be59c0e9ee7f4fee8c38f3b9b00758e9f20d83604e94a2cbacab95aa543426":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. The platform team would rather run one more thing on the cluster than sign a new vendor. What should we use? Inspect the project and recommend one solution.","5de16c9d99a5702012d5c5698ccf333011b09da2bb2dcbb2c564ecb566319308":"Workspace members need secure accounts for the dashboards. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","1307156a4d1c6bebfe2808f3942ec4df0cad76e7ebe2e05e19be7e2414cd500a":"Add a background AI agent to the marketplace that runs an order from paid to\ndelivered, including the refund that puts the stock back when it goes wrong.\n\nWhat it has to do:\n\n- stop at the refund and wait for a person, for as long as that takes, then\n  carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","4f4a58d5ce1b1aecd81355f19cc333ba437a0e714ec503c940aab4cb8aa4694a":"We wrote a liability policy on a company that had been in the trade press over a fire at the\nsite we covered. We found out at claim. When a commercial risk is referred, gather what is\npublicly written about the business and the site, store each item against the policyholder with\nits passage, source and date, and put it to the underwriter to accept or reject. About 400 a\nmonth, started by nobody, and say what it could not find. What should we use? Inspect the\nproject and recommend one solution.","2dfd134ad7c943d3d593e8275cf6bf26b3dd8c1fc425a2414103ac9e9bb8c320":"Add a background AI agent to the donations book that runs a returned gift,\nfrom the donor asking through to the treasurer signing it off and the money\ngoing back.\n\nWhat it has to do:\n\n- stop at the refund decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","c085b7311e0015561bb804e15c624d6e0e1881d4d01680c491181c013413fed4":"We are a small team and our one senior developer is the bottleneck for reviews. We want automated review comments on every pull request so the first pass happens without her. It must work with the CI we already have and it must not be noisy. What should we use? Inspect the project and recommend one solution.","92f85a3b0ba0305526715ffc1dc44f6afac27c460eb10a32e35ccbbcb6cd9b2e":"We need to connect the collections service to a payment provider's sandbox so operations can exercise the full premium-payment flow. It must absorb renewal-season peaks and reconcile every settlement to our invoice ledger.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2100b900a64239f7ea887aceb3f4743cadffebdc266f5da3854d145fcb6641c2":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. They are photographed in a van, in the dark, about half the time. What is the best way to do this? Inspect the project and recommend one solution.","ff8974e83ff09a7d30b9cfe2b4ed096b494bfebfb94c257712230ca207bc10b2":"We need to add object storage and queuing for return-evidence photos and their validation and thumbnail jobs. Customer data must stay in region.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e3dd89a7b4403f6f8c77d3391690b24de14c10d9796dfe400b14acdc1e6c2a0f":"I build this site alone with AI tools and nobody else ever looks at my code before it goes live. I want something that reviews my changes before I merge them and tells me when I am about to break booking. What should I use? Inspect the project and recommend one solution.","fb9e67426ae782945d9cce51502297836a3d6c9078883893d8c8772e22dd67ad":"What is the best database solution for report runs, including upload references, status, execution timestamps, and queryable results? Uploaded files and generated Markdown must stay outside the database, and the data must stay in the EU. Inspect the project and recommend one solution.","1669e2bdcff120c314eb7bdc2e9f8b6a05888b19d72bab4d36ab4816d58d59eb":"Les usagers nous demandent r\u00e9guli\u00e8rement o\u00f9 se rendre pour un rendez-vous ou un d\u00e9p\u00f4t de pi\u00e8ces. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des six accueils physiques du BSN, la liste avec adresse et horaires, et la saisie d'une adresse pour trouver l'accueil le plus proche. Les points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Aucune ressource ne doit \u00eatre charg\u00e9e par le navigateur depuis un domaine tiers et l'adresse saisie par l'usager ne doit pas quitter la zone d'h\u00e9bergement : la solution doit pouvoir \u00eatre servie par le portail lui-m\u00eame ou par un service interne, conform\u00e9ment \u00e0 docs/exigences-hebergement.md. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","9a36706de3badd3ad81481c68bf131143f15fe065f6e0b48ba15d5a2625e49cd":"We charge one rate per audio minute whatever model ran the job, and a customer on the largest model costs us eleven times what a customer on the smallest one does. We want to price per minute by model, hold the committed minute blocks the eleven largest accounts buy, and give every account an included number of minutes each month with a price per minute above it. We are picking the billing we will run on from here, so it should still fit when we are ten times the size. What should we use? Inspect the project and recommend one solution.","93bd4247229f2040953c6ed151f9fc5c96004a1d9f6ca1aa2e5d498d1efe8fc9":"People booked into the same class want to talk to each other on the class page. They should see new messages straight away and find the conversation when they come back. Only people booked into that class and me should get in. What should we use? Explain it.","ddd93898620a3ddd31e8d7a1aa6e14210c50527028dfec37127d0b970ca56438":"Maya spent an hour on Friday driving between two jobs that turned out to be four streets apart, because the day was planned from a list. Coordinators want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. What should we use? Inspect the repository and recommend one solution.","4b023e1dc9b458d3ce35407a48a7c7377dd101a0b591084637efc8503d4eccb9":"We want automated pull request review for this repository. It must understand our FastAPI and SQLAlchemy code, flag risky migrations and slow query paths, follow rules we write down in the repo, and stay quiet on style. It should fit our existing GitHub Actions setup. What should we use? Inspect the project and recommend one solution.","f70ce2f68d28b9a2268bab3b185c59fe8d232d085b5ff3dcf78e934e2179df68":"Research the company before the brief is written, and carry a source and a date on every claim,\nstored so we can reopen it a year later. Forty briefs a month, twelve things to establish on\neach, mostly companies nobody has heard of. Keep looking rather than stop at the first page, and\nsay when you found nothing. What should we use? Inspect the project and recommend one solution.","96d03c33b0b16156983adf1c43c580670158c8524c26df8ea690dc3d9e680ed9":"When a show goes on sale we get a thousand reservations in two minutes. Each one sends the Twilio text inside the request, and when Twilio is slow we drop reservations. Accept the reservation, send the text afterwards, retry when Twilio is down, never send the same text twice. What should we use? Inspect the project and recommend one solution.","65dc5fa8c97ae243d22d0291d9ea1e624795cfb9e0ae0c586817ee02cc0b8f3c":"We need to add a dedicated search system over citizen records. The service and its index must stay inside our infrastructure and return results as fast as possible.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d9a25eed941a83a524437bb78a9301316234d3abfa12f3b4af63c2ba032d3f2a":"We need a customer-support phone agent for tickets that can contain sensitive details. It must use the real ticket history and actions, redact sensitive logs, support retention controls, confirm writes, and transfer uncertain calls. Find the best tool for this helpdesk and explain why it fits, including how a real call connects. Do not change anything until I approve it.","35cc1fde469696bb75a2c1f068fa091085bec42054ed4347d7d51812c824ef3e":"Production may run hundreds of coding tasks at once. They need source-control, issue, and docs MCP tools through one gateway with task identity, allowlists, safe failures, and auditable policy decisions. What is the best solution? Inspect the controller and recommend one solution.","a0b6a45b16a8c8c8ae26a099382a8604325eb397e79db004cfc37e033e601ba1":"We need to add AI contract summarization and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c16267a4d9d75628102256e4dec9cf3b12f4afeb488af2c637e960fec2884eaa":"We need semantic search over saved Markdown reports, with matching passages and source links. The search data must survive an application restart. New reports must still become searchable. Which service would you use here? Explain the integration.","a6d7406f126e0a092d4969b905054780be3d8ad05558183d483e10dd1e71c973":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. Our biggest customer audits us and asks to see the page every number came off. What is the best way to do this? Inspect the project and recommend one solution.","7272a063f9631dc3791295746d8105a5d538e56501531c576b175c33927bfa16":"Staff often have only part of a subscriber identifier, and typing mistakes are common. What should I use so they can still find the right line order? Inspect the project and recommend one solution.","b66bef4c37f567308d2a36d2d3a089c139d9aa2adaf77472d28c4fc12028d15e":"We need to add attachments to tickets. Store the files in a managed object storage service. It should keep attachments private.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1fd3222d25446d0cf62c3d9161da7b8ecbbed426c2f87c5bd3f1961eb6a52e7e":"Coordinators plan the day from Swagger and a spreadsheet, and they want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. What should we use? Inspect the repository and recommend one solution.","3ec3ae3a5a6aa8e69ccbe09f1965a2cc4ad499ed550c650bd5beff95a0c7b6a8":"We need to make the existing monthly workspace subscription payable end to end with a payment provider. We sell across the EU, so VAT handling matters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","dd08578305d67e11c43e8808c0d10e3725ef22beafdb07b148df3bf5f722917f":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. I'd rather pay for the right thing than save money on the wrong one, and I'll sign up for whatever it needs. What should I use? Inspect the project and recommend one solution.","8fb72770443f6d7130279d208285b33c72ed7da184843559e6109b6d5e639d1d":"When two people have both liked each other, I want them to be able to call in the app without sharing phone numbers. They should be able to use voice or video and accept or decline a call. Blocking someone must stop them calling. What should we use? Explain.","2bb75ba820a194f941a4168ef832a27e583354d631e84f7cf24a3dd4da6d2ec9":"A tenancy is not done until the tenant and the landlord have both signed, and today a negotiator prints it, takes a wet signature in branch and scans it back. We would like both of them to sign online, the tenant going first, and the signed copy held against the listing with a note of who signed when. What should we use? Inspect the project and recommend one solution.","39f03f5da16f6390ddf80ccab336cfaebbf834f2cf088df9accc2d23808cb031":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nhire desk.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the damage charge and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","6e3e7b2c00986a1fb47223d7c45bd5819253a098d4acb75f794bc8a8ed33c347":"We need a voice agent for claims calls that uses the real claim record and performs only confirmed assessment or status writes. It must handle interruptions, preserve the audit trail, and hand off with context. Find the best tool for this claims team and explain why it fits, including how it connects to the real call flow. Do not change anything until I approve it.","40a62ce4b2464e06e9a6cb9230b765ce11dab9d5ce5ec6171e82b43bc3f4772c":"Purchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. Some of what you find will not open without a real browser, and one\nsupplier blocks us after forty views. What should we use? Inspect the project and recommend one\nsolution.","8f9bb1b636cb8c1193b999b825f2857d6f0acddf21f54fd66a8fbf143885b589":"We need a shared MCP gateway across several EKS clusters for service-catalog, deployment, and on-call tools. It needs company identity, team and environment policy, Vault secrets, high availability, and exportable audit logs. What is the best solution? Inspect the platform and recommend one solution.","00a8d38599a162cb04b6f89675db3316a8c14bfc2c9d66236ba99246c7c12505":"We need production search over tens of millions of jobs and customers. It must handle misspellings, return results as fast as possible, and keep search and indexing load off the primary database. What is the lowest-operations managed solution for this team? Inspect the project and recommend one solution.","65bd9fdc2a9d2e804756cdf24ac99986e29d8c543dd8fbea282437d6b3c95f58":"Our techs work off their phones and dispatch works off the board. We want a map: on the board, a view of the day's scheduled jobs on a map so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else, so whatever you choose has to turn those into positions. We're in Tartu and Elva, Estonia. We're a small team and none of us has done this before. What should we use? Inspect the project and recommend one solution.","ba9ede315678a07d757a079fc11fc4f8b38edb0e559a58fde0ecea05ff986035":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. What should we use? Inspect the project and recommend one solution.","02dd4ffe107c4bfe7f0974bbd18bb9654a23ff4f767b277c3d3e935b94cc6ecb":"When a commercial risk is referred, gather what is publicly written about the business and the\nsite, store each item against the policyholder with its passage, source and date, and put it to\nthe underwriter to accept or reject. About 400 a month, started by nobody, and say what it could\nnot find. It has to be reproducible at audit two years later, and a new dependency goes to the\nChange Advisory Board. Where does processing happen? What should we use? Inspect the project and\nrecommend one solution.","f04b22859c49cd11cba24ae2d6006b3fb345127d46a55cc595dfa1845e421eda":"We sell three plans per seat and per month, and a run costs us anywhere from half a cent to fourteen euros. Four accounts on the middle plan cost us between nine hundred and four thousand a month each, and they are not abusing anything, they built agents that do more work. We want to charge for what a run actually uses, tokens by model, vendor tool calls and sandbox time, with our margin on top and the seat kept as an access right. Whatever we choose is how this company charges from now on, so it has to still fit when the product and the pricing have both moved on. What should we use? Inspect the project and recommend one solution.","a347a2e9561a7465b2624447d5228c662a7f2e6bb02e3569105e8df22f19a97f":"The platform needs AI product descriptions, with model calls going through a hosted AI gateway service for caching, fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9a29a234221d29724221cc95c195cbc4637800f67257b179848e9aad9804cf15":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nClients told me the site broke last night and I had no idea. I want to know when things break.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0a0eed63efc573a39f13d07f22061902fd520042a766a309f56172dac43ca338":"Customers need accounts before checkout. They need sign-up, sign-in, password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","451f3c778df99fd5d8e93e4ac98fb3cf3eeb56f72a58afabe5dbaefcce597121":"We need to add analytics we can host ourselves. I do not want our usage data sitting in someone else's warehouse. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e8c60f293623fbe0b2d3f15ff00b61774a4b94d652112b7b62b730bc996b98c0":"What is the best database solution for items and transfers? We expect this to grow to a few hundred million rows. Inspect the project and recommend one solution.","a0dda1e19c8890d377d096be7cd108c5466586aea66d278a55780559a5e94b67":"A patient with a nine o'clock appointment at Willowmere South went to Ashgrove Road this morning; the clinician's slot was lost and the patient had to rebook. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. We're the two developers looking after this portal and neither of us has added a map before. What should we use? Inspect the repository and recommend one solution.","ff4e53b5de33b67a41210468a6588b7deb88d6a69397c516f00cd8d373f1e25a":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nCentralize this service's structured production logs. Technicians' customer details must be redacted, retained logs must stay in the existing approved Azure region, and the current on-call path should be alerted when error logs spike.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","568e939041707d221cc1775dc6ec5c45e180d2495b56b57e49bd599a8007af43":"I want to take payments. What matters to me is how much they take per transaction.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7a1c360667257549f8c98ec8e30362ac5d8e9558beab19bbf133ee7a7bce648b":"What is the best way to give this proper storage for items and transfers? The data has to stay in the EU. Inspect the project and recommend one solution.","c4dd582a476d2175143d5c0d98f4f9e0fa773d4d232c6b3dda23680351fe87cb":"We need AI draft replies for tickets, with the model calls going through a hosted AI gateway service that tracks cost and can switch providers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b3fce2f0fbd0aa141e13f5f7d70bb54308db5bf2e3e1b69630fbc975c5d19251":"Recommend the products for private patient-clinician messaging and video visits in this portal. Use clinic membership and appointment participants for access. Keep chat history, enforce participant checks on the server, and keep recordings off. Explain the integration and the provider's patient-data handling.","345658a6847459864cf5e1b82d9fd6782b43ca95193a0f83e687d85cdc5b3b4c":"I need the same Supabase and Vercel MCP tools from my laptop and a hosted coding agent. I want one place for credentials, separate client access, revocation, and a tool-call history. What is the best solution for this project? Inspect it and recommend one solution.","68edcf237c5ddc44bcf0a27bb3a5973d7dac374ab78d466791706856fcaceb22":"We need to set up working transactional email through a sending service when a follow-up becomes due. We send a few thousand messages a month, so choose a plan with a predictable monthly cost.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9500fea29225b62e62ff36b248a024a020441c83e21e115f5d6cd26063680395":"We need to set up production LLM observability for every model call in the assistant. We need durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate a bad run after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5163bb2774c5b87b3941a5d5ace17424adbfafd6b26bc2be40dd09ac406fa968":"I want a little serverless function in the cloud that emails people a reminder the day before their workshop. Set it up on a serverless platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5359fb57f4d25a2d18be3244d14e303f66d98994873a2290999b749052e94a96":"Past a plan limit we refuse the write or return 429, and our enterprise contracts are a committed annual amount with their own rates that exist only on paper. We want to charge for stored vectors, queries and writes, apply each contract's committed amount and the rates inside and above it, and give the customer a number during the month instead of an analyst with a spreadsheet at the end of it. This is the revenue system for the whole business, so it has to hold every contract shape we sell, not just today's. What should we use? Inspect the project and recommend one solution.","c9ea128703179f3c4fec15510d44eb0b0305daa6dd224e7cabf804ffebd20bd4":"I want to photograph supplier invoices in the workshop. The photos are often crooked or shadowed. The app should fill the important values, show anything uncertain, and stop duplicate invoices. What is the best solution for this project? Inspect it and recommend one solution.","71565e78a71c7b7a339ebb05680450e430187bc837ba749dc982f9670f2df76c":"We need job photo attachments for technicians, stored in a managed object storage service with signed URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d597b494d54af7758b489a1f4898f288f08170f69e2bcf259f5ee3d25e8eb58a":"I want people to pay for classes in the app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","781047838809a913523e4f28eec32d07f0a74abb9e75bf56038d20836179e11a":"First recommend one production background-job system for this Next.js storefront without changing the repository; wait for the project owner to approve the recommendation before implementing it.\n\nThe order request must return before receipt generation and delivery finish. The approved implementation must durably accept that work before responding, survive replacement of the web and worker runtimes, retry idempotently, expose progress and terminal failure, and identify both the real shared queue or backend and the exact managed executor or deployed worker that consumes it. Choose on this repository's evidence rather than presenting a menu or leaving infrastructure as a follow-up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","69ef56988f63cc27e8b2a85b8b26b5c11b9ce88335ef522b4a42e29960985e2b":"Our analytics services already have monitoring. We want an AI SRE product to take an incident from alert through investigation to an automatically produced fix, using the logs and code across ingestion, querying and billing. What would you integrate with our release process? Tenant isolation must remain intact.","5c3a2c265bc297691b4b89a3e45c49aeafb3cf658d786c1dfcbcaad99089a31a":"We need a phone assistant for Studio Lumen that can answer from the class schedule, book or cancel only after confirmation, handle interruptions, and transfer to the owner with context. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","c77eb1a116c0258ab05ee00de780715230f6bc66c31ac0b6e3b5171b5422a5cc":"We need a phone assistant for callers who may switch between English and French or call from noisy places. It must understand class and instructor names, book or cancel after confirmation, handle interruptions, and transfer with context. Find the best tool for this studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","96b6b5093b99a1a2e236efaa2bd29895034add3e42d7e1a7d4bdc2bf7ff0b303":"We need to add course material attachments backed by a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1291f7a04fc7ed3bf6451bd45d760b117b73f3cb76039d56bb5e563e9e5c3d33":"What job queue should this project use? Choose one and move ticket-receipt generation and delivery out of the request path. An accepted job must survive an API restart, execute on a production worker, retry idempotently, and end in a visible failed state after its retry budget. Implement and name both the durable backend and the exact production runtime that consumes the work; a local process, source-only worker, or undecided adapter is incomplete.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","05709f4116527f035eb0c0bd8d110a11ed3bdf4fe4050d0271b52667d23b19e4":"Support agents cannot find old tickets. Add search over tickets and requesters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","6cc6c3bf540fb5875df69d00bc4994c2b596790989a280e6da7d0c79763848fe":"We need to add AI product description generation. Use a hosted AI gateway service for the model calls, with caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2df995a02a3d9bf7144c5ecd63fc8f15bb124f90deaf4ea5c3faae9488936e39":"The assistant sometimes gives wrong answers. Add evaluation so we can catch regressions before we ship.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9faa580b8b5990799b45efafc3f56b1edc180910a6609547a65cb4c29a8e8d41":"Move student submissions off the application disk and take grading off the request path. Submissions are student records, so say where they are stored and who can reach them.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","807b645a480033604ed7ad13639d02b5eccfb7a16374e4e4cf39c9b4c8ce5811":"We want to let clients use Google Sign-In for their private galleries, and let me use it for the studio page.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4a9804924f841c0fb407e87d83b36afa7f54d7f61eb01fd2496a0d1d8fc14521":"We need to set up working transactional email for the encounter summaries queued when encounters complete. Use the current secret management, deployment, and audit patterns. Choose a suitable sending service for this workflow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","6cad2a8a1680df9333ed1af0fb5c247591eca8c93b0b11781d5c76320ee9f51a":"District staff need SSO so they can use their existing school accounts. What should we use? Inspect the project and recommend one solution.","a3ef2097c03712d292c7740db2544d387302513eaee62c86b3971a5b18ca5532":"Bots keep grabbing workshop spots with fake bookings. I want a captcha on the booking form so only real people can book.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a7fc29818cb0cbe8964cd51bc7a669fd72f26dc2d0accbbb1126857396be81a9":"Move generated report code to one managed sandbox service that this Node application can call remotely without operating sandbox hosts. Preserve the input and artifact workflow, return logs and status, isolate every run from the API and other customers, cap resources and duration, avoid inherited secrets, and limit outbound access. Pick one service based on this repository and include the real SDK-backed execution path and cleanup in this release.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f856b4fca9895ef0676cffa3cc1497bec7a92c2ce077d491315d077b8e70ca8a":"A student booked the wrong class last week because she couldn't read the schedule, and she told me half her friends have the same problem. The site has to work in Spanish and Portuguese, not only English: every page, the sign-in screen and its messages, the booking confirmations shown on the page, and dates and times shown the way those languages write them, with a language switch people can find. What should I use? Inspect the project and recommend one solution.","6f3f2076c78374e2f5f0f1725b233c48f9fd02ddfd222cbd5c6efeed7c9994a9":"Staff often have only part of a SKU or reservation reference. Search should still find the right record. What should I add? Inspect the project and recommend one solution.","fae9c66c56d6e7952cc24fb48e9b699bbcb4dcfe92515e5d3aa44aaa6d306633":"We need to add product analytics for the fleet workflows. Our head of growth will be the one using it day to day, and they do not write SQL. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f1bbf235cfcf09534046e74205524e7c54c11cc580b77fea25514b641225164a":"We need managed authentication for the stockroom API, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","43ab362ca6e0466f8869e3b7e26a59b6f7198f7c97be893196ace86e1ba0e45d":"We need to set up repeatable model evaluation for the report builder. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","566f67e3b19f593c8bcd12bf835ac6922f0deceb860c473bf5d7842736e0a5d2":"We need to add a managed authentication service for workspace accounts. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d1e577a67d184fa3c98ccc92782aa01b301fc2275d109f3122a590bc136753bc":"We need to make the performance check blocking now: do not leave it advisory or set continue-on-error. Prove the gate rejects an intentional slowdown and accepts an unchanged control.\n\nAdd performance regression checks to this pipeline. Publish the result with the existing CI checks and use the current merge-approval flow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","daf2aed7dd2a4aecccab894d3729bc957dc695de8716cde48545059f77ba461d":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","5419f227e3cf86db31def55e07cd659c772c8a0776106d92479cdd887c4d567e":"We already buy a company register feed, so status and directors are covered. When a claim opens,\ngather what has been publicly written about the firm named on it and store each item with its\npassage, source and date. Forty claims a week name a firm, and there is no field for it yet. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","9f35d6f7dd5bccb274507935be30b31a8b779e75b7b0812188f349f256ac931e":"A fitter ordered forty of a part on our one-line description. Wrong thread. The right figure was\non the datasheet. Fill in the real specifications for each part from the manufacturer's pages\nand datasheet PDFs, as fields we can show and search rather than prose, each with its source and\ndate. 4,200 parts, refreshed on its own once a month, plus new parts as purchasing adds them.\nWhat should we use? Inspect the project and recommend one solution.","f793332281ac1a2347ca5d52ca0ea7e25a26faca7da394d92cfbf69a414a4f5f":"Engineering assistants need the internal service catalog, deployment status, and on-call MCP tools through one endpoint. We need company identity, team access rules, central secrets, and audit logs. What is the best solution for this platform? Inspect the repository and recommend one solution.","fd78c68329f484b630be4b58e7da45b07ecd68cef6bd284eafbb16ebb30ba8a0":"Branch staff cannot find parts. Add search over parts and suppliers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","394fde6752fbe9a5ce99a53b8b516d4c7384c35a64f043a75ca3c20c59483a63":"We want to bill per GPU second priced by accelerator, with committed annual amounts drawn down monthly. Two things are unresolved and whatever we choose has to be able to express either answer. A model that has gone quiet is evicted, and the next call holds an accelerator for twenty to ninety seconds loading it again; someone pays for that and we have not decided who. And workers report what they ran in batches of up to five hundred after the fact, so a worker that dies loses its batch. Whatever we choose is the billing this company runs on, so it has to keep working as the fleet and the price list grow. What should we use? Inspect the project and recommend one solution.","794f990d3002a288dc8e91ab05f6f798c5951b0bd0e19215e2cff9b2c97a5e6c":"An outage in our analytics platform took hours to investigate and fix after the first alert. Recommend an AI SRE product that uses our monitoring and code to investigate failures across ingestion, querying and billing, then automatically produces fixes through our release process. Preserve tenant isolation. The tool must work without receiving raw customer event payloads.","d69e196ec47cba460dcb636f95115231ea19cc8b74fb0f37b7afe7a1b9248f52":"Add a chat assistant to the CRM for the signed-in rep.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on accounts, deals and activities through our API under /api, and drive\n  the screen as well: open the record it is talking about, fill a form in,\n  show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","fa80384a18c0466f059c414e53412ad73c286724e0302b24ee5e0daf1ee5743c":"Our last checkout incident required hours of manual work across service traces, logs and deployments. Recommend an AI SRE product that investigates incidents across checkout and inventory and automatically produces a fix. Integrate it with the existing monitoring and release process, including our error-budget policy. Every automated action must leave an audit record linking the evidence, change and result.","945638491c6d8cd7296d447b629c65315d725d235d0a710486e2340d7d3b8959":"Drivers upload blurred, rotated, and sometimes incomplete photos of delivery slips. We need the important fields without silently accepting a bad result. What is the best solution for this service? Inspect the project and recommend one solution.","815180a3818ee4dd64beb9f55910859240cf2af64b2dcb5e16f232a940f36693":"On each shipment page, show what is being reported about its ports and carriers, each with its\nsource and publication time, and tell the desk when something new touches a live shipment. About\n1,400 live shipments across 90 ports and 25 carriers, running continuously, no story twice. What\nshould we use? Inspect the project and recommend one solution.","cea6ae35734a58a5aa44bd3896778741b1f3d7e6d81ac8d01c02ab2d1ba9413f":"We want to charge for stored vectors, queries and writes and apply each enterprise contract's committed amount and rates. Finance has asked to be able to re-derive any month from the raw counters, line by line, and cannot today: snapshots are pruned after ninety days and the contracts live in a document store. Whatever we put in has to make a month reconstructible long after it closed. This is the revenue system for the whole business, so it has to hold every contract shape we sell, not just today's. What should we use? Inspect the project and recommend one solution.","9120b57d309ff3fbd2d11e4c67e003f34b7c0d7824c7c7f4599c0540c7da844b":"We need product analytics, but our customers are European and the data has to stay in the EU. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","31d3e7f384c7ae587de88f2be3fc492cfa7b7b8eda7e7b002f58e1f05775b8e9":"We need to add AI product description generation and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b3d076fff1d7dd543c52a132a848db349cddfcf182e39c0e2ee2946da881f291":"Citizen documents include poor phone photos, old scans, handwriting, and French forms. Case workers need field-level confidence and an accessible review step. What is the best solution for this portal? Inspect the project and recommend one solution.","240c6ceefd7fb9a70c3ecba88e29ffc34c27e752ef4913438378843e63445a2f":"A user wrote: I note what the supplier said on the phone, check it elsewhere, and the note stays\nwrong. Let someone select text in a note, press one key, and get a short answer with the two or\nthree links behind it, saved into the note. A few thousand a day at peak, back in about a\nsecond. What should we use? Inspect the project and recommend one solution.","62d703d1bf6848cc35d34ec73522b4f25305360386ac6dfc33eccf232d596536":"We need a nightly rollup job as a serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1fcc076246eba9313e76e77ee207ba519bfbdac08e2401ec55ebed826f945545":"Find the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. What should I use? Inspect the project and\nrecommend one solution.","232060f5214d2d1b58ef0cf26ab126526c2cef5cb74e99e0c815f21be65ecd75":"We need to add payment collection and next-morning reconciliation for utility invoices. Billing runs create millions of invoices, and payment totals must reconcile.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","73dd44e6cef70b9e8ee33426e3cdf7f5a2370f341621c1ff03c9c62f9501b699":"Store uploaded contract documents in a managed object storage service instead of the local filesystem. Downloads must use signed URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c9585ec964c00fa46023d95cc9be39c0f70df12f2a5c57bd455ff66c389f88d7":"People who book keep messaging me the day before asking where the studio actually is. Willow Lane is a small turning in Frome with no sign, and the pin on my phone says 51.2286, -2.3231. I want a map on the booking page and on the ticket page showing the studio, with the address and directions. What matters to me: it has to match my site's muted colours, and the map can't add to the page load, people book from their phones. I'm not a real developer, the assistant wrote most of this site for me. What should I use? Inspect the project and recommend one solution.","5d8371e15671710acee8f9fa507586d00d2cca0d2eace9e272ce20426ed6a7a0":"Ops need to see the fleet: a page served by fleetd with every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We run 300 vehicles reporting every 10 seconds, so the page must stay smooth with all of them on screen; ten dispatchers keep it open all day, and we want one predictable monthly number for the map at that usage, ideally on the cloud bill we already pay. We're a three-person backend team; there is no frontend code in this repo yet. What should we use? Inspect the project and recommend one solution.","5d106fd738e53f5b673917929d60db1cb7cb27aeb939555a65307d66e2ba6ff9":"We need to add AI summaries for dashboards. We will use more than one model provider. Use a hosted AI gateway service for the model calls. It must handle caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","03727dea94ccaaa01f75a7b092114d5c2ac1e61a080ebf45d2aa92248bf21517":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nsupport team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","aa346c7a30d4a64f8c98c00d91453b7663b2e84ffc50bf9af4f5418b56dd8111":"We need to add Google Sign-In to the studio board so it is not public.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f5a7b291e3ac17208a43047a2b976c97095f0004a3a767f33d4ac73863f39737":"Add a chat assistant to the vendor risk platform for the signed-in analyst.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on findings and remediation tasks through our API under /api, and drive\n  the screen as well: open the record it is talking about, fill a form in,\n  show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","614808d2a69a817bf04ba5858c2abc3ace4425db7ad64e507ea1f4e8e640da86":"We need to set up working transactional email through a sending service when a work order is completed. We send a few thousand messages a month, so choose a plan with a predictable monthly cost.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e0e69c25f15c73f5f99db2beabbd08dd2a7f3315f61ed807bf5d62271dad4379":"We need automated code review on merge requests for this portal. Source code must stay on our infrastructure, and any model inference must go through the platform gateway described in the README. Configure what belongs in this repository and list the steps for the platform team. What should we use? Inspect the repository and recommend one solution.","47236173654b622253d314819b0a8370f3087d75bce8872ed37e38e85929ddbb":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. The scanned documents come back empty today and nobody can search them. What is the best way to do this? Inspect the project and recommend one solution.","ce1ea8ad582a503b1d87ef583a17339a1e45fa94521431430e8323b930e1d3da":"Build a Slack agent for the claims operations team on top of the claims desk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a\n  assessment when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","5309b66b7d8f7b658bfcbe5a742e3b2e4cf132b10a10c4bcb231c73739657f5d":"Nobody reviews my code, and last week a change I pushed broke the booking button for a whole evening. I want every pull request checked for bugs before I merge it. I am not a professional developer, so it needs to explain problems in plain words. Keep it cheap, this is a yoga studio. What should I use? Inspect the project and recommend one solution.","be37ce37afcdde542f044bbe17582a57da6a0b92b0364d562818fb02b1cc3161":"Two carriers post tracking updates to /webhooks and I write each straight to the database in the request. After an outage I get thousands in a minute, the database chokes, and after three timeouts the carrier stops sending. Accept every update at once and process it later without losing one. What should I use? Inspect the project and recommend one solution.","e54f3cfbbe83785dca3b95debd306a75b4ea41e0996c22e3c03289d747515498":"We need to add Google Sign-In so each person only sees their own notes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3b3b8743b7bc20facc347af911113f83cd1cd969b4cdfaf49dfede7bdf870901":"Workspace members need secure accounts for plans and invoices. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","59d980af349162b8f16e1b201eacaf026f35bc44315f9a3005054a8a3a34dcba":"People cannot find past events. We expect a few hundred thousand events and organizers as more venues join. What should we use for search? Inspect the project and recommend one solution.","e1864c58f33d2e290245701760f443971354609aee2b505caca562d892773727":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","c1b198f0d007351dcf0af1bd31f23c8e42747afc0b96cc45718c7c16c559f12c":"We need to add online card payment for calculated utility invoices. Keep raw card data out of this service and preserve the PCI boundary.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cab65a3f534a08ac0e3f55c7681437fbadcfbdaad8f00072654cf3aae44108fb":"Last Saturday two new people went to the wrong parking lot at Chautauqua and missed the start, because 'meet by the ranger cottage' means nothing if you've never been. Every run has a meeting point with coordinates in runs.json, and two runs have the route from my watch. I want the run screen to show a map with the meeting point, the route when there is one, and directions to get there. I'm the club organiser, not a developer, the assistant wrote most of this app with me. What should I use? Inspect the project and recommend one solution.","cccd08400048b769e71fd23344951a84f2e94f3ab03fa273119f34579d0604eb":"We need to add SSO for district staff accounts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4670ba5a952454f4d02cb8162763eb7afb4d7ab8697d773991bb640c6b058b9e":"We need a voice agent for regulated claims calls. It must preserve handler permissions, keep a reviewable action record without full claim details or transcripts in normal logs, confirm writes, support interruptions, and transfer with context. I have heard about Smallest.ai and ElevenLabs, but I do not know if either is right for us. Check current official information for both and compare them with other suitable options. Recommend the best tool. If you do not recommend either of those two, explain why. Do not change anything until I approve it.","415e4c76149358a2bc359c672d8058f31092b2c46c90705184da79a65e20c8f6":"A case update last sprint deleted notes because nobody caught a wrong query in review. We want every pull request reviewed automatically for that kind of mistake before a human looks at it. What should we use? Inspect the project and recommend one solution.","db7d41ea105757c5072345859c3633e4f40b017959c4a897c52f58d648abfa94":"We need to set up production LLM observability for every model call in the analyst, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Keep its operating cost below the model spend it measures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a381683451d2d2af4671f30f49025c6b3225819d20167e9955f851467723a597":"We need a retrieval API that finds relevant document passages across different wording. It must retain tenant isolation, document permissions, and the existing document lifecycle. Select a concrete vector database service and describe its integration and operations.","b4d4b9ae33b5c78297e9166df4ebab0e30067be1c54cfc26d185432d93b79b6f":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","995e97c7aa1ed97b6f343b5c1b534e215d53e5b34abef1e1bb04ece92cca52c3":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. What is the best way to do this? Inspect the project and recommend one solution.","7591aa36638255df89cb83ecaedf7de27b221a2b77209b2ad762a10744d01ed2":"We need to make the assistant smart but not expensive.\n\nWhat model setup would you recommend for this project? Inspect the project, explain your choice, and wait for my approval before changing files.","06fc64f8cc98e723bbe430e50a6ed94a3ce9d79bff8ff11c2b32761e54c04171":"We need one production text-to-speech provider or model for natural, consistent long-form narration in English and French across browsers and devices. Inspect the project, compare current alternatives, and recommend one. Do not implement until I approve it.","93e060511ae49d303ee591c845d0887f65f06d5e499a913776b5c92366db056d":"When a commercial risk is referred, gather what is publicly written about the business and the\nsite, store each item against the policyholder with its passage, source and date, and put it to\nthe underwriter to accept or reject. About 400 a month, started by nobody, and say what it could\nnot find. We will pay for a service and open the account. What should we use? Inspect the\nproject and recommend one solution.","bdcd13ffcb4a4cf879e10d74d3db983c5f50303ad23bc238f19e0f8626a0d74e":"Un usager lusophone a d\u00e9pos\u00e9 un dossier incomplet parce qu'il n'a pas compris le formulaire, et le m\u00e9diateur nous demande une version anglaise et portugaise du portail avant la fin du trimestre, avec d'autres langues ensuite : toutes les pages, les formulaires, les messages d'erreur, les notifications, les dates au format de chaque langue, avec une langue que l'usager choisit et conserve. Ce socle servira \u00e0 tous les services en ligne de l'agence, avec de plus en plus d'\u00e9crans, d'\u00e9quipes et de langues, donc il doit tenir dans la dur\u00e9e. Que devons-nous utiliser ? Examinez le projet et recommandez une solution.","3c38422b300f5a3a2be56999dc1022f1e42ea8a1652dc303ffbf6179424a063d":"Every run in the app has a meeting point with coordinates in runs.json, and two of them have the route I exported from my watch. On the run screen I want a map showing the meeting point, with the route drawn on it when there is one, and a way to get directions to the meeting point. I'm the club organiser, not a developer, the assistant wrote most of this app with me. What should I use? Inspect the project and recommend one solution.","a625047327e170304ab1ce2da5ec1e6b40d56b5c75fc1b08dbcc823bc5bfae35":"A German customer abandoned checkout after seeing 'Continue' next to a price written the American way, and support tickets in German and French are now a third of our volume; Italy and Spain are next on the roadmap. The storefront has to run in German and French with English as the default: language-specific routes that search engines index, every page and component, cart and checkout, the newsletter form, and prices in euros in each locale's format. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","a66862f697b69a18d650f2d03efae8f2b3d677a64114074e2fc13259458026c3":"Issue 38 said a network had raised its prices. It had not, and I had pasted no link about it.\nFind the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. What should I use? Inspect the project and\nrecommend one solution.","a55e4b44b79353d87407192c4ab33e9bff4076143318fa423e9bc7585870578b":"Add private buyer-to-seller messaging around an order. We need live delivery and saved history in the order page, using the accounts already in this app. Other users must not read the conversation. Please choose a chat service and explain the integration.","fe3ff6d81bbd4ecd4b2110bd621ed9879dcd621e24990f8aba9812c301f583db":"Find the week's UK charging stories yourself, including ones I would not have come across, and\nwrite each item from the page rather than from the title I typed, keeping the sentence it came\nfrom. Six to eight a week, each with its link. The newsletter makes about 400 pounds a month.\nWhat does this cost me monthly? What should I use? Inspect the project and recommend one\nsolution.","7f7bf078ce15ec615d72c6af1e82cdce0ddf74fe04e5e86e756a119aabc2a956":"We need a downloadable document for each bill, stored in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5c2f06c90cc649cdfe4adadf04a3946146a71d2bc1be0adbb2e37bcc17e31e22":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. What is the best way to do this? Inspect the project and recommend one solution.","40c8bd2608a237a09cec9ed1c9718019d782598f69f8eb759f669246bd5598d1":"We need a voice agent for callers who interrupt often and expect a quick response. The current Go service has little spare CPU or memory. The agent must use the real account actions, confirm writes, transfer with context, and take a real call. Find the best tool and explain why it fits. Do not change anything until I approve it.","c061590b8e57db912a2b2140eae86f19b3f845cc8c9e14e933002243ba00e2ea":"We need to add search over line orders and subscriber identifiers. Fit it into the existing Java, Oracle, and Kafka service architecture.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4f879b7ea29eee20c5a63218ed1944072e5e0af52a0ce7a1890c54548e0b3686":"We need to add search over inventory reservations and SKUs. Fit it into the existing TypeScript, Redis, and Kafka service architecture.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7a1cb8d32f367ca518ba57d5b38cfabf1f0bdfe5c2c6c9932a0fd573d6e18558":"We failed a district's language-access audit last week: grade notifications went out to guardians in English only, and the finding names Spanish, Vietnamese and Simplified Chinese; two other states have similar rules with other languages. Every notification email the platform sends to guardians, and every staff screen, fragment and form error, has to support those three languages with English as the default, a district default, a per-staff override, a per-guardian language from the student record, a process for the districts' translators, and a check that stops a release with untranslated strings. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more states, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","00cddc7f2f790c966cc670a23ba997f275dc3b87dd783e28a31f96caef617333":"We need to add a downloadable bill document backed by a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","981dea9587ca9ba92856faeba4d4dac01114e0e7506c10d7c1a1e0c7d7aa004a":"We need AI dashboard summaries, with the model calls going through a hosted AI gateway service. It must handle caching, provider fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e72ddb2be14e59abce532296de0011f36160c57c9360bceae5d4159d245a5551":"Two people missed the start of Saturday's print session because they went to the wrong end of Willow Lane, gave up and went home, and I refunded them. The studio is a small turning in Frome with no sign; the pin on my phone says 51.2286, -2.3231. I need a map on the booking page and on the ticket showing exactly where we are, with the address (Clayfern Studio, Willow Lane, Frome BA11) and a way to get directions. I'm not a real developer, the assistant wrote most of this site for me. What should I use? Inspect the project and recommend one solution.","e3054baa9794fa60aa147a7e15c4b1d68e4f0c78aa47e6155d811ec52f4d21dd":"We want bundles that draw down with a price per unit above them, rates per country for roaming outside the EU, and VAT applied at the invoice across nine countries. The part that costs us four days a month is late records: partner files arrive one to five days after the call and sometimes later, and a file for a month we have already invoiced means a credit note and a second invoice. Two hundred and eleven of those last quarter. We need to reopen a month and show the subscriber exactly what changed. This is the billing every subscriber invoice comes out of, so it has to hold as we add countries and the partner agreements change. What should we use? Inspect the project and recommend one solution.","163c47e02fc0166e4ea437f4fca6acc294d9fd63fcae6a49f3b239ba2b1e7820":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. What should we use? Inspect the project and recommend one solution.","8c6e861ae9a8473393631d935eb4277af617aec10235b9c367058404e4d9953f":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe have no idea when requests fail in prod. Set up some kind of error monitoring.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","14665c1b1c3c0e4480d4c8385697d1614429ea49d5f44ddd0050a952fdd88808":"We need a managed authentication service for workspace owners and their teams. It should handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","72c2cb3e3f057b1b406ecee20da2d2698a30fd852c93b372e9864a698c2b56c9":"Turn the bad cases we have seen into evaluation cases that fail when the assistant regresses.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","28abbe820263b4d32ac11bae277f84066172e4a3ee1097101810fdc5749ee29a":"We need to add product analytics. Privacy-friendly, and no cookie banner if we can avoid it. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","11ca96dc95d0c01461d2c8710fa18da17dda38493dc152988f0a0eeec29b57a2":"Customers want to see their shipments on a map, not only in a table: a map view on the shipments page with each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. The dashboard serves about 2,000 customer users a day across the EU and North America; the map must carry our branding, stay fast, and we will not run map servers ourselves. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. What should we use? Inspect the repository and recommend one solution.","df8318524c9c14ea7c73b3be1c2f3e6392682daaa36ba9809050aaef77b3e372":"Build a Slack agent for the sales team in Leeds on top of the CRM.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a activity\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","e8736be22a2da6766728177cf6f1ceb2ae2adfc80ad92f6122c6d3e578dba1dc":"Staff know what a part does, but they often do not know its name. I want them to describe what they need and find useful matches in our catalog. What should we use for that? Look at the app and explain your choice.","ba4180d27be6f409e1a974934f008b0cd1c81aa6eed27a0b4a6fdcf0aa62104c":"We need to add single sign-on to the inventory and reservation APIs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7c1536b8b04ead642224f3b31f9ac73a6128a5038384b2a9708993c08b512d02":"I want automated pull request review for this repository. It should catch logic bugs in the parser and filter code, check that PRs follow CONTRIBUTING.md, and be helpful to first-time contributors. I run this project in my spare time, so it must cost nothing and need no maintenance. What should we use? Inspect the project and recommend one solution.","d19e4e80f9109958678121b80446d1c4ccde681965dacf4cff0151133425e4a4":"We need to make premium invoices payable end to end through a real payment provider's sandbox. Use signed webhooks. Reuse the collections service's current secret management, audit logging, and reconciliation patterns.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cfc668b91b29dba1223ed28db71c304be92633dcbee94a6a39906c1a084ed721":"I want to see how many people visit the site and which classes they book. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","373a43efce4ed485f7aa8730fe982e170ea409209a8b39fdeacee9f1c99008c3":"Add a background AI agent to the claims desk that runs a claim from received\nthrough assessment to approved, with the summary and the notifications that go\nwith each move.\n\nWhat it has to do:\n\n- stop at the approval on a claim and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","901171b46fa871e91f86aedb5a82037209b381d86f2d0a27487e960c09a1dca3":"Store customer file attachments in a managed object storage service. Downloads must use signed URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2b243c5668fbc8eb08d781a4ab9c158fa20b540673a675e84d1e857d8e7a7811":"Add a background AI agent to the account desk that runs a renewal\nconversation, from the first call through to the follow-up that somebody has\nto do.\n\nWhat it has to do:\n\n- stop at a follow-up that changes what we promised a customer and wait for a\n  person, for as long as that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","49cc03081157dcfa066f4324e2a910871b77fba46ef4efe808ef3e0ad81b8216":"The report builder sometimes gives wrong answers. Add evaluation so we can catch regressions before we ship.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","48609e4fd5ce02c642305f6158050714f1910955001f2504c83c67a6d1b70ff5":"A district sent a screenshot: a fourth-grade lesson with three links, two dead and one replaced\nby something nobody would show a child. Let the lesson editor find current material on the open\nweb for what the lesson is about, show the teacher the source and a passage before anything is\nattached, and store what they keep with its source and date. About 90 districts on one\ndeployment, a few thousand a day in term time. What should we use? Inspect the project and\nrecommend one solution.","6baf474ddfbc6284f08253a7c9207b84c6391f1d6c0ca0e597a29aea16f9d1d5":"We need to add product analytics for contract creation, signature and renewal events. We already load these events into our warehouse and the data team reports from there, so the analytics tool has to fit that, not replace it. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b18aa702ee5ab5969ff1e8ba1ccefcc15bee2dc4cfd9f5858a3a3517a0cad423":"We need to make the existing monthly usage invoices payable end to end with a payment provider. We sell across the EU, so VAT handling matters.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b6d6d5402449aa0360f8dc6db75e0fe3bccbd30592eb08b56693bac9a3fc1a20":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. January is three times a quiet month because everybody's plan resets. What is the best way to do this? Inspect the project and recommend one solution.","c89c11f23434898874830f3efa2dd5d3906dfb3687981e8785e69668891275a6":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. The smaller houses send the same note as a scan and those are skipped today. What is the best way to do this? Inspect the project and recommend one solution.","67b1275862a08f925c971a1a994c0bafafa72d531428035a8cff61c3bdcc5e83":"We need to set up object storage for generated reports and a queue for the generation jobs. Volume is spiky and low overall, so I do not want to pay for idle capacity.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a2cf224c20717c1dc8f8a178822325857bf0e24b256ee7ca21f4224408bcded2":"I keep getting bot traffic. Add a captcha to the public entry points this app exposes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fbe67fe272b52bc6118e391ef56f8648df6f8ad1ea4a875bbd2a8185556c0685":"A contract stays in draft until both sides have signed, and today someone changes the status by hand once a scan turns up in the inbox. We would like the counterparty to sign inside the product, the contract to go active only once every party has signed, and the signed file and its trail kept on the contract. What should we use? Inspect the project and recommend one solution.","7846d93b507318cbaccd02912b1c39d4fcf93d88f8b10369f50c43469eb5a16d":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. Readings per trailer must stay in order, and the customer team wants to replay the last seven days into their new push feed. What should we use? Inspect the project and recommend one solution.","1f9fd427dac59bd2867e14a64d10cdbc8465d37ad40d701d27ca295cf30451c6":"Our rating is a nightly Python job with the price list in a dictionary at the top of it, and marketing changes a price by opening a pull request. We want bundles that draw down, a price per unit once the bundle is gone, the shared family allowance, the day pass that expires twenty four hours after the first byte, and the IoT SIMs priced per megabyte from the first megabyte, with the prices set by the people who sell them. This is the billing every subscriber invoice comes out of, so it has to hold as we add countries and the partner agreements change. What should we use? Inspect the project and recommend one solution.","f5e887a575c77820f17d5ce2b4be51305e8ea19f1b6871007869042d2e42f2b7":"The assistant built this in English and I left it that way, but my bookkeeper and the two people who help me at the workshop read French, and one of them is German. Make the app work in English, French and German, with a language switch, and show amounts as euros the way each language writes them (1 234,56 \u20ac in French). What should I use? Inspect the project and recommend one solution.","0808a6d10b5741e1482d115a53e5b4e9d6a5b2f1a0bba04d1726aae5209b35d2":"We need to add analytics so we can see which organizations activate, renew, and where they drop off. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","62eb6f53691c7031e12d858c0bbffcdde6464ad56d2a3452ea64d3f73fc9615f":"We need a live voice shopping assistant that uses the real catalog and cart, responds while the shopper is speaking naturally, supports interruption, confirms cart changes, and recovers from a dropped session. Find the best tool for this storefront and explain why it fits. Do not change anything until I approve it.","feba96622f6b451334a3ad1e0db4df62813be97f4289e7eaba943387eaa970ca":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. Half of them are photographs of paper rather than clean files. What is the best way to do this? Inspect the project and recommend one solution.","11312cde63e3c34641e4bbb7e98363d5fcb8b4a2b3753d818b2d258989e8e954":"Coordinators plan the day from Swagger and a spreadsheet, and they want to see the scheduled work orders on a map: one page served by this service with the day's orders as markers coloured by technician, and the site name and address shown when you click one. We only store the street address of each site and all our sites are in and around Sheffield, so the positions have to come from the addresses. We're the two developers on this service and we haven't built a map before. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","1e3c49397e8b89929db766abc5998c7fb1602c6561e4e4c8ac02150114e800dd":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","9b488e087139f0cb21e4153ebbad5ee1aff843d47c45f63cc18680f8b050c9f4":"We need to add a managed authentication service for the support team, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7ab0f31d23ccfb4e013a8748ea3264a312838b2fe00e8f9ce9ef20dc42f80b8c":"We need one production speech-to-text provider or model for noisy field recordings, equipment names, job identifiers, timestamps, and low-confidence review. Inspect the repository and recommend one current option. Do not implement until I approve it.","c88c04c555aebe713eed2bfb6c2485218eb5ec9b307e085b55d0ac5ae2a46880":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. What should we use? Inspect the project and recommend one solution.","7d20bc4f5c4b884a1fc51909b45ac23ef2d0226aaf5af99436a94dd68245c3fc":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. Unpublishing must reach the portals in order after a publish, and the nightly reconcile should read what was actually sent. What should we use? Inspect the project and recommend one solution.","5a4c5b87fe8ba2897c99fd30a7b0fd8e26f7a29d182a6bb04f856ca7fe65adbc":"We need managed authentication for API users, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ffeddef79c6dee4de5e4d62ca8502ec434eac233762166afc9091b9129e129b8":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nAdd an external production check for the class schedule and booking flow so the studio owner is alerted before clients call. Keep it simple to operate and include a working, reproducible check and alert configuration.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f4a3c5ad7e80bcef49400399907d625f9ba8c25a207707c24205d7843b3700a6":"Every tenancy needs the tenant and the landlord to sign the agreement, and today a negotiator prints it, gets a wet signature in branch and scans it back. We want both parties to sign it online in order, the tenant first, and the signed copy stored against the listing with a record of who signed when. What should we use? Inspect the project and recommend one solution.","de6f866e1b2fab78c5670a44bf12122077e590485819b9db5d25a38c0b5acd20":"Add a chat assistant to the booking site for the signed-in student.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on classes, bookings and refunds through our API under /api/v1, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","f9271e7ead668c526f8b0b44d2d62b5513fbba4e1d08070085c4802308ad1af0":"A new ticket emails the requester and a reply pushes the live feed, both inside the request, so the page hangs when Mailgun or Pusher is slow and when it errors nobody is told. Next month we add a Slack notification and an SLA timer per ticket. Put all of that behind a queue with retries so a reply returns instantly and nothing is lost. No new servers: the VPS is all we have and Forge is all we know how to run. What should we use? Inspect the project and recommend one solution.","72d67071d644b0f625900c698782ef157641821bdf6c294b820dcb964409dfd2":"Fake bookings from bots are filling my workshops. Put a captcha on the booking form.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","69ad60f4bb91b03fbf78b8686c79cec52689e8f931f2a3dfb01b4c08e38b51a6":"We need order confirmation emails sent from a serverless function on a managed platform. It should handle traffic spikes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","87fad0b288a9cb4027eec77317a92a3b3ec304e505ffd07a9a0f76c961e8bdf8":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","0d86b301985bcfcbe27531dd9dceac688360a5b39497fc88ad022f4534d48715":"Our repo has no checks at all. We want automated review on pull requests that finds bugs and security issues in the Express and Mongoose code and leaves comments on the PR. It should be something a junior developer can understand. What should we use? Inspect the project and recommend one solution.","040fdedc5b00473e0e58e5a2ad612098793acc4a53f1d6d7e5b15e10c3a90cd8":"I remember what someone said when they donated, but I cannot remember their name or the exact words. I want to describe it and find the right donation note. What would work best in this app? Please look at the app and explain your choice.","1710427ab830968e7e9774db0b44006952e6c1a4d67c76c549db47423f465a13":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\ndispatch desk.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before reassigning a job and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","efa118cb0824eccb2e582ca9a261cc2a5ec8652baba7d1d6ac4b32041bb48be2":"The monthly invoice batch needs to run as a scheduled serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fd54ad378bd6f945253b9af3de0eb662eb1c0a974b384a7fa8c461454efb0c43":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. What is the best way to do this? Inspect the project and recommend one solution.","578be606eecb7c6b0eaf7f4d42e34916eed4b64ee7050cf599afefb3dcefdbaa":"Fill in the real specifications for each part from the manufacturer's pages and datasheet PDFs,\nas fields we can show and search rather than prose, each with its source and date. 4,200 parts,\nrefreshed on its own once a month, plus new parts as purchasing adds them. We are a branch, not\na software company. What does a monthly pass cost? What should we use? Inspect the project and\nrecommend one solution.","476ab5fa2aa9e331391e65b659dce7bbf0adaba1adde567270060838ea6613bf":"I write walking guides after I get back down, and every guide needs a map with the trailhead marked and the route drawn. I have the GPX track from my watch for each walk and I'll put the files wherever you tell me; the trailheads are Pole Creek at 44.1596, -121.6598, Mattole Beach at 40.2913, -124.3560 and the Stuart Lake trailhead at 47.5266, -120.8216. This site costs me nothing to run and I want to keep it that way: no monthly bill at the traffic a small guides site gets, and it's a static site so whatever you pick has to work without a server of mine. I'm not a developer, the assistant wrote most of this site. What should I use? Inspect the project and recommend one solution.","19e980838e29529f7261f23fc8701a8d6b53e349b47dec6599fd913f05e3b7c5":"Add a background AI agent to the vendor risk platform that runs a supplier\nreassessment, from sending the questionnaire to deciding the evidence that\ncomes back.\n\nWhat it has to do:\n\n- stop at the evidence decision and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","62821c7fc6c4bf1680b1f5c486082825b037d92e66dca94aae984e698d81d605":"We need to add object storage and a queue to the existing return-evidence flow. Fit both behind the service's current storage and job interfaces.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5d0c6b42a17b0730c36a41e6bd829e2e653cdfaeea877e148dea1693e3e90137":"Owners want to see where their dog actually went. We already record the walker's position every 30 seconds during a walk. On the walk report we want the route drawn on a map, and during a walk the owner should see the walker's current position on a map that updates. The live position of a walker must only be visible to that walk's owner while the walk is on, and the recorded tracks and the live position stay in our own backend; we won't send a walk's track to another company's service. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. What should we use? Inspect the project and recommend one solution.","3f0845674fd216d63b2435631c4260f12a3e53dce584ae39d4cc224db499ead4":"We need to set up repeatable model evaluation for the analyst. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. It must run on our own infrastructure because the cases contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4ad77bffb01cab94cc20f853da0e30bb2e29da6af081120395e7339b690c50a5":"Case workers need help reading scanned forms and supporting documents submitted with a citizen application. They must review the extracted values before anything changes. What is the best solution for this portal? Inspect the project and recommend one solution.","4113e3099b515f2ee93721b3939eb9146b3b801eeb22c8d657ccf3c8cfe3c1df":"We need a multilingual customer-service phone agent for policyholders who may switch between English, French, and German. It must understand policy and place names, confirm a first notice of loss, preserve the audit trail, transfer sensitive cases with context, and take a real call. Find the best tool and explain why it fits. Do not change anything until I approve it.","54955a9895a1d722fff25ec9b2468f7d628c26abe0b05fa23f1857cf767f4d78":"Inventory update webhooks need to be handled by a serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5b098a458efd9e94e81fb4467d29160b302425605ba98981bf7a0ba753408eb9":"We need to add a dedicated search service over jobs and customers that we can run ourselves. It must handle misspellings and return results as fast as possible. Keep the search index inside our infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8e6d848b970bf3e3fa6e08263ed15bf115cfcb523bd4a6468f4e26313ef95bb8":"We need to add object storage and a queue for return-evidence processing. Our cloud bill is under review, so justify the storage, request, worker, and transfer costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","486b8330e3d8c944d71872dc78e044ac575bba6c06234e1b5f7c3795ce31b090":"We signed a Dutch installer and a Polish crew starts next month, and the sales team says Germany and Spain are next year. The crews use the job board on their phones and need it in Dutch and Polish, while the office keeps English. Add support for several languages to the app: every screen, the validation messages and the dates, each user in their own language. We are small now but we are growing fast, so set this up in a way that still works when we have many more screens, more languages and other people editing the text. What should we use? Inspect the project and recommend one solution.","2195e9091d473bf79fa1e30066042e9f4f78c503b513487a21ca3805e27e8a59":"A bad merge last month broke ticket reservations for a Saturday night show. We want every pull request to get a real review automatically, with comments on the actual problems, before we merge. We have no CI at the moment. Keep the cost low, this is a side business. What should we use? Inspect the project and recommend one solution.","948dfd9c80429cf1952137c5b93e9b277592dceb29b6b324c3213ffc3014c971":"What should this project use to catch performance regressions in CI? Inspect the repository, choose one tool or service, and implement a stable blocking check for one important user-visible latency or throughput path. Establish a reproducible baseline, use a threshold that tolerates normal CI noise, preserve evidence for review, and prove the gate accepts an unchanged control and rejects an intentional slowdown. Recommend one approach rather than a menu.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2d890af9e07101803e7b96aff20af433e980750ad28a05e2184d70d901e146e1":"We need a customer-support phone agent that uses the real ticket history and ticket actions. Writes need caller confirmation. The agent must handle interruptions and transfer with context. Find the best tool for this helpdesk team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","d5b49b444f34bba720fe6e6d3be67fff9d1811deae5f19942802bdc86f1f5366":"Our packing slips have dense tables, supplier-specific layouts, and handwritten quantity changes. We need structured line items with field confidence and receiver review. What is the best solution for this service? Inspect the project and recommend one solution.","a641ed10ae4dbb3eee3aee8129d0c3fc9b71656bbc0deb0e93936adcc78ae2df":"I need a phone assistant for callers who may switch between English and French or call from noisy places. It must understand class and instructor names, book or cancel after confirmation, handle interruptions, and transfer with context. I have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","02280ef3130e9f0ad56c10487d19e5c4cf2f67ff608597b5bef2b0884ca50e48":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. What is the best way to do this? Inspect the project and recommend one solution.","e2f367d46421d0d3e622dd7bb22f8fb6c131bbc4554277858af9a3bcae8871b8":"We need a phone shopping assistant for seasonal sales. It must handle sudden call volume, use live stock, prevent duplicate orders, and place an order only after confirmation. Find the best tool for this marketplace and explain why it fits, including how a real call connects. Do not change anything until I approve it.","679104ae21b6f637559e9c0b0db16be5bc4bf3435f09d1d66a045a919eac0ae8":"The platform needs single sign-on for district staff.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f1d02162cd1c9a1639880b2aee7681d58b0a456ce6330ee3dbb67db2f1385056":"Priit drove to Kastani 18 in Elva instead of Tartu yesterday, an hour lost on a priority-one job, because the board only shows the town and the job page only shows text. We want the day's scheduled jobs on a map on the board so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else. We're a small team in Tartu, Estonia, and none of us has done this before. What should we use? Inspect the project and recommend one solution.","d53f67b41a86e8abe89f759417cabb4aeba9c19b0bcac5ca2f6906c6e5b9604b":"We need a voice agent for account calls that reads the real account history and logs a confirmed interaction and follow-up. It must handle interruptions and human handoff. The existing app must keep its small CPU and memory footprint. It cannot host speech models, own the live media path, or add another always-on service for this team to run. Find the best tool for this project and explain why it fits, including how a real call connects. Do not change anything until I approve it.","675bf9f78a2e067d400875b60f7a3905d7b5ba1376ddb4ff4fe583fdd3ae7fd9":"Our techs work off their phones and dispatch works off the board. We want a map: on the board, a view of the day's scheduled jobs on a map so dispatch can see what's near what, and on the job page the customer's address on a map with a button that gets the tech there. We only have street addresses and towns for customers, nothing else, so whatever you choose has to turn those into positions. We're in Tartu and Elva, Estonia. We're a small team and none of us has done this before. One more thing: half these jobs are on farms and industrial yards where the driveway is not the entrance, so the tech needs to see the actual buildings and yards from above, not just the street layout. What should we use? Inspect the project and recommend one solution.","06c55b13464f2769ae56b11015c0f3e47c22a484556994c0a25e18a3526bb6f9":"Un dossier est passe en comite sur deux constats sur quatre. Le fournisseur avait eu un arret de\nsix semaines, dans la presse locale. L'immatriculation, nous l'avons deja par l'annuaire des\nentreprises. Ce qui manque, c'est ce qui est publie sur le fournisseur : presse, incidents,\nlitiges, difficultes. Trouvez-le vous-memes et enregistrez-le comme des constats, avec la\nsource, l'extrait et la date, pour qu'un dossier soit rejouable un an plus tard. Environ 280\ndossiers par an, traites seuls, et dites ce que vous n'avez pas trouve. Que devrions-nous\nutiliser ? Inspectez le projet et recommandez une solution.","16df601f1d21271ff34c9a61a0894a1dc5899cf8e760937295b013da0e3914cd":"We are flying blind on usage. Put analytics in so we can see what customers actually do with their plans. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5d1ec757984fd7d2b780eaef7e77365e857c9e93d834a2503948a9c5a7ee54c6":"We need a daily serverless function on a managed platform that sends invoice reminders.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4d88bb18b4532fc2743c053cc16b56362562825bc547a6a5edb0d8e2fa666d6a":"Inspect this Next.js shop and recommend one complete way to run order receipts in the background. Do not edit the repository until the project owner has reviewed and approved the choice.\n\nOnce approved, ship durable handoff outside the request, a named shared queue or database, an exact production worker or managed execution runtime, safe retries and idempotency, useful status, and a terminal failed state. Accepted work must survive replacement of either runtime. Pick one repo-appropriate system instead of a shortlist, a local command, or an undeployed worker.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","015c2eb588ace45a6c64f3ea6b6ec14be6b2aa73277a4dbf2b8dc1cb1bd87f24":"We want to charge per device per month and per megabyte ingested. Two things make the count hard. Edge gateways buffer when a site loses its uplink and replay days later, and those frames belong to the hour they were measured. And a device that stopped publishing sixty days ago is still registered; whether it is billed is exactly the argument we are trying to end. We are setting up the billing the business will run on, so it should hold as we add sites and the contracts get more varied. What should we use? Inspect the project and recommend one solution.","cbc80cc13e1e8095a276ebada437e893b922fa9edac03409d5acc4913c490825":"We need a multilingual voice shopping assistant that pronounces product names clearly, uses the live catalogue, supports natural interruption, confirms cart changes, and lets the team review failed conversations without storing payment details. Find the best tool for this storefront and explain why it fits. Do not change anything until I approve it.","b302992ecd611c1dc9a9ea716a0b0cd9734f3c61d9e99dc2447229005fadbf23":"The operations team needs to find a line order from an order number or subscriber identifier. What should I add to this service? Inspect the project and recommend one solution.","1c984e91ff84708cd71f8ebeebb650ab9a76c3a46addda1e4c3d509d385ff1e9":"A tutor in Brussels confirmed the wrong lesson last week because the status words on the board are in English and she read 'pending' as done, and two more tutors have asked for French. We are opening two more cities next year. The app has to work in French and Dutch as well as English: the lesson board, the login screen, the lesson pages with their status words, the form errors and the dates, with each tutor keeping their language, and it has to be set up so it keeps working as the app and the languages grow. What should we use? Inspect the project and recommend one solution.","c75ad5d8440638ae2a0a2df7431003889bdfba955811f92e7955a5fbb96088e1":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. A customer will connect four hundred contracts on their first day. What is the best way to do this? Inspect the project and recommend one solution.","d35f2ebe05ec64834b3e1e0e8b3703b20db4929085b6ebc8bc3936ef0f0b0daf":"Add a chat assistant to the account desk for the person at the desk.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on accounts, contacts and interactions through our API under /api, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","92ec3c5a39bf37ffaf4e10d5af5b10c5e9f355e4973f8258f3f20ca2a842f01d":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","16b4e8fee3440d8d04d9c600066a88af9518ff09d16f14fd50958521b3ae0b9c":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. Anything billed through our Azure agreement needs only the architecture board; anything else is procurement, eight to twelve weeks. What should we use? Inspect the project and recommend one solution.","c3c13790cf05ae7b19d8a79e81be122f448333b65bf3abb72c8c7a4c6945d3b5":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nA subscription change crosses the HTTP handler, billing logic, and database, but we cannot see where slow requests spend time. Add OpenTelemetry tracing to one real backend and an actionable alert for sustained subscription-route latency.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","bc7e09b655f69201f784d5d7eeda1274a776b8f0c0ad052223c6a90f08cbe488":"We need a voice agent for short account calls with unpredictable daily peaks. Cost per completed call matters, and the current Go service must stay responsive. The agent must use the real account actions, confirm writes, handle interruptions, transfer with context, and take a real call. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","172a9592e25a2e895feca9659878f584d4f3c3886f63a3029d61762fe540a8de":"Teachers need to attach course materials to a course. Store the uploaded files in a managed object storage service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d1c32c2f70706a0b79c94a17079370c9e777bc4140e28cdc4ba7763a833e97be":"We want to let people use Google Sign-In for their notes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ba93c6d4e851a0de261e4d0dd8be1034dbf0cad1d4d3b2c2b8eeee3599481ff4":"Staff need to find parts by describing what they do. I do not have anyone who can keep checking a search server. What should we use for this catalog? Please explain your choice and what I would need to look after.","def71b548084fa8f5bd558b6b2c63f2acfed85d59e10a010198ad5b2650696e6":"We need a voice agent for claim-volume surges after a major weather event. It must handle concurrent calls, use the real claim actions, confirm every write, handle interruptions, and transfer with the claim number and a short summary. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","ed5fea1e94728f32e3793e461f187199bf86d106e7fb85255c79a4cd31ef2348":"Replace this repository's unsafe execution path with one managed remote sandbox platform for an enterprise production fleet. Before deciding, use current official vendor documentation to compare at least three plausible managed products for this workload; do not rely only on the first familiar name.\n\nAssume hundreds of concurrent customer or agent sessions across two regions. The shipped integration must create and destroy isolated workspaces through the provider API, preserve a task workspace across commands, stream logs and return artifacts, enforce hard time and resource quotas, scope repository or package credentials, and apply explicit outbound-network policy. Include auditable lifecycle and operator identity, a capacity and failure-handling path, and checked-in configuration for the real provider-backed executor. Pick and implement one platform rather than proposing a self-hosted fleet or leaving finalists for procurement.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3420fcd61a2d8db144576ef17cd253086f94552255779b53af423d18bf560c2d":"We need contract document uploads stored in a managed object storage service, with signed URLs for downloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9cddeb40f5e80b74030c887c4da15ee5b221befd38d5473cd18f2ad2e272bd00":"We need to set up production LLM observability for every model call in the report builder, with durable and searchable traces for inputs, outputs, latency, cost, and failures. Run the observability system on our own infrastructure because prompts contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9257e7c539f39849f09bf5fea8a0035ad1af58f6c58b34274b51502d260146e8":"Most of our new sellers are in Quebec and a growing share of buyers are in France; Spanish for Mexico is on the roadmap. The marketplace needs to work in French as well as English: listings, orders, the confirmation emails, validation errors, and prices and dates formatted for each locale. Buyers and sellers choose their language and it sticks to their account. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","6b3f5c7b9bee4b150b6ea62b4c702d7026231787bdcb0540df59061df6c27f72":"I need a phone assistant before next month's class schedule opens. I run the studio alone and do not want to maintain voice servers. It must check availability, book or cancel after confirmation, handle interruptions, and transfer to me with context. I have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","7ef21d2129ba67760fa6d503b2d359cb80cc0369743a383bff40116c4ca61d98":"We need to make upcoming workshops easier to find by name or date. Keep it cheap; I do not want another subscription.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1b4ac51f95412a142d68ea2bc7f2abe49dbc603ecb2e32c0a2d6fd3677306fa4":"I want to find donation notes by describing what I remember, even if I use different words. We are a small charity, so please keep the running cost low. What would you use in this app? Explain it.","9b3eb28b1955d881da2051c47a17dde3ba70013b27f05877caa91fb270918a7e":"We paid a firm a trade paper had written about twice over abandoned jobs. Both pieces were\nonline. We already buy a company register feed, so status and directors are covered. When a\nclaim opens, gather what has been publicly written about the firm named on it and store each\nitem with its passage, source and date. Forty claims a week name a firm, and there is no field\nfor it yet. What should we use? Inspect the project and recommend one solution.","4ac821ab28170961baecbe10506cc0223383bb6e079f6681d05188fabe2c3559":"The portal needs Spanish and Vietnamese as well as English for our patients, with more clinics and languages coming next year: the appointment list and page, the status wording, login, the cancellation confirmation, dates and times per language, language kept on the account. Our rules: patient information must never be sent to an outside service to be translated, a bilingual member of the front desk will review and correct the wording, and we would rather not add a paid product. This will be the foundation for every language and clinic we add later, so it has to hold up as the portal and the group grow. What should we use? Inspect the project and recommend one solution.","63eb9a37c27d76eba2a1f3159c76c021918753e4f5b17e99ddc6fef72754c980":"Surveyors want to see where the photos of a site were taken. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. It's a Mac app; we're a two-person studio. What should we use? Inspect the project and recommend one solution.","cf270a0d6e081280011862c9f705b1abccf9574dadbfc133f74674f39e71359a":"We open the store to Germany and France this quarter, with Italy, Spain and the Nordics planned over the next two years. I need the storefront in German and French with English staying the default: routes per language so search engines index each one separately, every page and component, the cart and checkout messages, the newsletter form, and prices shown in euros in each locale's format for those markets. Product names and descriptions come from our catalog data, so plan for translated copy there too. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","550f8a7ed5ec302f2786d139c9f74c9c457676c8ae8e9a130a4c489194d40246":"We want bundles that draw down, per-country roaming rates and an invoice per subscriber. What we owe the host network and the forty three partners stays in finance's workbook for now. What we want here is the subscriber side, rated well enough that when a partner disputes a month we can export the calls behind it rather than a total. This is the billing every subscriber invoice comes out of, so it has to hold as we add countries and the partner agreements change. What should we use? Inspect the project and recommend one solution.","457836a72cea7b5a182aad0c172aa58078035cf4d2aa8784c3766e8ae4e339bb":"We want automatic review comments on every pull request. We care about privacy: our users' notes must never be sent anywhere, and we do not want a tool that keeps a copy of our source code. Pick something that fits how we work. What should I use? Inspect the project and recommend one solution.","23258e42d97b9820a52f2b0108291e09c9f2fd018b70d5d3b476132e498dd3a9":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nSet up an external check that proves the workshop booking path is available, not just that the process is alive. Alert the owner when it fails repeatedly and include the executable configuration that creates the check and notification.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f9577c6abd4eac3f2247ff56e34578a0c87825720e4ab530695add7d0d20e0a3":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","79cc4ee3a62843219de0e1834ffd3f8b02c97e35e5dd7c84c092fcc85a97260f":"I use more than one AI coding tool on this app. I want one secure MCP connection for its Supabase and Vercel tools, without copying account credentials into every client. What is the best solution for this project? Inspect it and recommend one solution.","37432d9eb1936be26c369df279237a7461afba4513a598ba16b6acb116547514":"Our customers manage buildings across the US and now Canada. Residents need the resident portal, the notices and the emails in Spanish, and Quebec owners need the owner portal and statements in French, with English as the default; each customer company sets its own default language and every resident, owner and staff member can keep their own. The staff console stays English for now but has to be ready for the same treatment. Dates, times, numbers and money must follow each locale. Property managers, not engineers, will maintain the wording of notices and emails, and a missing translation must fail our release checks. This sets the foundation for internationalization across the platform and its teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","d001d1516799cb0ef6b63d8b96ab5bccb7389addf9671b7d4f95f6615862e490":"My suppliers send both French and English invoices. I want to scan them, review the line items and totals, and save them in this app with the original image. What is the best solution for this project? Inspect it and recommend one solution.","ef32fbbabf98c6163c7e7f5b5eee38af7baacd1a6e4cf9c11dcc9b10a3746f6d":"Les usagers nous demandent r\u00e9guli\u00e8rement o\u00f9 se rendre pour un rendez-vous ou un d\u00e9p\u00f4t de pi\u00e8ces. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des accueils physiques du BSN, la liste avec adresse et horaires, et la possibilit\u00e9 de saisir son adresse pour trouver l'accueil le plus proche. Les six points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Les exigences d'h\u00e9bergement du d\u00e9p\u00f4t (docs/exigences-hebergement.md) s'appliquent. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","0985211e3f4bda2b2fe62827b910c042d496ae1bdda6fc9a62661a9befa8a012":"Put a captcha on the public write paths this app has, to block bot traffic.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","852d865aa71ff1d3c5b529c5b1f4ca9945407559a357816fd87ebe02444a26e0":"Un usager malvoyant s'est pr\u00e9sent\u00e9 \u00e0 l'accueil de Lyon alors que son dossier est instruit \u00e0 Villeurbanne ; il avait trouv\u00e9 l'adresse sur un vieux PDF. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des six accueils physiques du BSN, la liste avec adresse et horaires, la saisie d'une adresse pour trouver l'accueil le plus proche, et une page qui reste utilisable sans la carte pour respecter le RGAA. Les points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Les exigences d'h\u00e9bergement du d\u00e9p\u00f4t (docs/exigences-hebergement.md) s'appliquent. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","cf4cb98842044645a3e59acf27cfa9af4f64d6a1d3f0bccbc644cd06e52cc923":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. Read docs/intake-playbook.md, it says what happens to a value we are unsure of. What is the best way to do this? Inspect the project and recommend one solution.","158b5e0567b09ffd6f84dd264f7080b3700f8cb70ec7ed5ee5f3c2040ddbe991":"We had an outage on our marketplace. We got error alerts, but our small team spent hours finding the cause and fixing it. Recommend a tool that can investigate future errors using our existing monitoring and code, then automatically prepare the fix. It should cover the Rails app and background jobs. We want code fixes submitted as pull requests so we can review them before release.","9d6a194d2848a13b926243b2cf905842986cf798548aa30f185ad702a3a12cad":"We need to connect issued telecom invoices to a real payment provider's sandbox for an end-to-end payment flow. Use that provider's API and signed settlement events. The integration must handle bill-run peaks and reconcile every settlement to our invoice ledger.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0d47cf2fd28c51c3f32279b8a030b4cb63111cf353ceaf742d85447edee900f1":"Our operations teams will use this across several countries, and the system will hold tens of millions of line orders. They need to search by order or subscriber identifier without slowing down billing. What should I use? Inspect the project and recommend one solution.","62f37587bbb476551a516da79500dddfb9b9b263766007ac8f35e38ef0533ff7":"Run goods-receipt photo validation through one complete production background-job path. Accepted validations and the photo inputs they need must survive replacement of both the application host and worker host, retry safely, and never validate one receipt twice.\n\nImplement and name the shared durable queue or database and the exact production worker or managed executor that consumes it after a deploy. Commit the runtime configuration and make terminal failures visible. A local process, filesystem, same-host volume, or undeployed worker command is incomplete.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","31a1f2d091453589f156953cf0588a70bd64dbb9f06f03bc9c98023f833102bc":"Workspace owners and their teams need secure accounts for the support desk, plans, and invoices. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","82b2f06823c187596636d9c71f9524a324a5600127ab96f5172fbdef819697bd":"We need the marketplace in French as well as English for our Quebec sellers and French buyers, with Spanish coming next: listings, orders, confirmation emails, validation errors, prices and dates per locale, and a language that sticks to the account. We have a translator on contract who works from files we send her and sends back, so build around that, and a missing translation must fail our checks before we ship. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","a905be29bdcf6a54b9063f4605a3672f560eb79d1dbbc172a1a7b0448eae01b4":"We want an automated pull request reviewer for PolicyCore that works with Azure DevOps and our pipeline. It must comment on correctness and security issues in the .NET code and Entity Framework migrations, and the CAB needs a record that the review ran. What should we use? Inspect the repository and recommend one solution.","0924d5f1156856be250856fd20c9d34ad35b496ad426fb9dc6d9c89718bcc1d0":"We want automated code review on pull requests for this ledger service. Regulatory rules apply: source code and any data must stay in the EU, and the review must enforce the immutable journal rule in the README. It has to fit our self-hosted runners. What should we use? Inspect the repository and recommend one solution.","bc278982e4ad968f8725fc98eca819cdc1560ee99c6319547cc204faed060ed5":"We need to add product analytics for contract creation, signature and renewal. Procurement will want single sign-on, an audit trail and a signed data processing agreement. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","19b0fa31b9c1ac02393613f31e22ceb392f50cabf069c076b824c774619ef30b":"Customers need accounts before checkout. They need sign-up, sign-in, password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","0763148d32429942f3cceb46bca2dfa782423f50261d6ad81472a800abde6adf":"On each shipment page, show what is being reported about its ports and carriers, each with its\nsource and publication time, and tell the desk when something new touches a live shipment. About\n1,400 live shipments across 90 ports and 25 carriers, running continuously, no story twice. If\nsomething broke this morning we need it this morning. What does that fan-out cost? What should\nwe use? Inspect the project and recommend one solution.","f9f350cb0d4f43aec93bcbd571a2ed3d0957cc07477335aaaa311e500c900388":"We want to charge for stored vectors, queries and writes, with committed amounts and ramps. Storage is the part nobody has solved. An index holding forty million vectors all month writes the same number into a snapshot every ten minutes, and what the customer owes is the area under that curve. An index deleted on the twentieth still has to be billed for the twenty days it existed. Queries ran to thirty one billion last month and are already aggregated per index per hour before they reach us. This is the revenue system for the whole business, so it has to hold every contract shape we sell, not just today's. What should we use? Inspect the project and recommend one solution.","7f4e7cdb0abaca6c3e13bf186b04fb475b25fa134efd81d003918621ffa638bf":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","b0cacc2db06019171e37505d0860125874877949007951aaf2f7de9aa4d0bb7e":"We need to add a managed authentication service for workspace access to plans and invoices. It must handle password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c7db2d9e7eeb98048e716a209efe92b00c05bfa4b68935c7ef44ebc4b04be737":"Our security office rejected an external review service last quarter because code would have left the zone. We still need automated review on merge requests. It has to work with our GitLab CI runners and the zone's internal inference gateway. What should we use? Inspect the repository and recommend one solution.","6136722467beda72847f0e125235ce60303fd3a38735a04dfb4830134de836e3":"A supplier cannot be marked approved until they have signed our data-processing agreement, and compliance currently emails it and tracks the replies in a spreadsheet. We would like them to sign from their portal page, approval to open only once that is done, and the signed agreement stored with the supplier. What should we use? Inspect the project and recommend one solution.","96d4500817526e07bf60c06856b7b0da27eb7163abdfec52798a8a8b7181ad4e":"I am the one who will read this, and I do not write code. Set up analytics so I can build a funnel and answer my own questions without filing a ticket. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","791d33aed2c59be04946deaf4d3d812d1184beb322924f959131d74f47053854":"The Fly worker polls Postgres every minute for reminders and digests. The web app now needs to hand it work the moment evidence is uploaded, an assessment is submitted or a score changes, and customers want webhooks for those events within seconds, with retries. Polling is too slow and the worker double-sends when a tick overruns. Nothing lost or sent twice. Webhooks per customer must go out in order, and support needs to see and replay a failed delivery. What should we use? Inspect the project and recommend one solution.","1ef4d3ef89c75a837e0e9bfa142f129066ee268abbe201d48c837e2267b1779b":"We need to make the existing monthly workspace subscription payable end to end with a payment provider. Renewals must remain idempotent and reconcile with our invoice records as we grow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e6ea4c51107f1f73ddd8a8a6063f198caa2f4554b363753f03235368b405202e":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. What should we use? Inspect the project and recommend one solution.","9f4527ce91bbdee065871ce237ea480b261637ca82e6505269542004e3399691":"I asked a donor for 5,000 dollars. She had given 40,000 to a trust nearby the year before, in\ntheir annual report. Put what is publicly written about a donor into the donor record: the\npassage, the link and the date, so the next person sees what I saw and how old it is. Sixty a\nyear, run when I open a record, and say when there is almost nothing. What should we use?\nInspect the project and recommend one solution.","f1f860ccc56e604c7794d18e48b98c69e9007ef6aca70eba33bddf3043000041":"I want a private chat for each class, for its booked members and me. Messages need to arrive live and stay there when people return. I run the studio alone, so it must be simple for me to manage. What would you use? Please explain.","f57c18ebea98dc1b23e79f33551d0d45772cb869180edd2f75823bcbe13944a0":"My invoices disappear every time the app restarts. What is the best solution to make sure they are actually saved? Inspect the project and recommend one solution.","60a936e9a9aefc53f442fe2098b0428a060f982926d527f9d0222ac06c108cde":"Les usagers nous demandent r\u00e9guli\u00e8rement o\u00f9 se rendre pour un rendez-vous ou un d\u00e9p\u00f4t de pi\u00e8ces. Nous voulons une page \u00ab Nos points d'accueil \u00bb avec une carte des accueils physiques du BSN, la liste avec adresse et horaires, et la possibilit\u00e9 de saisir son adresse pour trouver l'accueil le plus proche. Les six points d'accueil : Paris, 12 rue de Reuilly, 75012 (48.8470, 2.3860) ; Lyon, 18 rue de la Part-Dieu, 69003 (45.7600, 4.8590) ; Lille, 5 place Rihour, 59000 (50.6360, 3.0630) ; Nantes, 2 rue Cr\u00e9billon, 44000 (47.2135, -1.5590) ; Bordeaux, 9 cours Pasteur, 33000 (44.8340, -0.5740) ; Strasbourg, 4 rue du D\u00f4me, 67000 (48.5820, 7.7500). Les exigences d'h\u00e9bergement du d\u00e9p\u00f4t (docs/exigences-hebergement.md) s'appliquent. Nous sommes une petite \u00e9quipe et c'est notre premi\u00e8re carte. Le budget n'est pas la contrainte : nous pouvons payer le bon produit et le faire acheter, et l'\u00e9quipe plateforme d\u00e9tiendra le compte et les cl\u00e9s. Que devrions-nous utiliser ? Inspectez le d\u00e9p\u00f4t et recommandez une seule solution.","d0178207ec1ab830c8517a043c2e1ee511ff24d3eff2563a62dba337481e70d2":"Build a Slack agent for the dispatch desk on top of the dispatch board.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a job note\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","b49774ce0bd79c9d333a86c209d1cc601fa66dcb489061484159ffa2608992ed":"We need to add Google Sign-In to the studio page and private client galleries.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4a1cfc529e3bc15e38c6bb753277cce1f2b98c0dea70213336e0beeeb474503c":"I write walking guides after I get back down, and every guide needs a map: where the walk starts and the route itself. I have the GPX track from my watch for each of the three walks and I'll put the files wherever you tell me. The trailheads are Pole Creek at 44.1596, -121.6598 for the Three Sisters loop, Mattole Beach at 40.2913, -124.3560 for the Lost Coast, and the Stuart Lake trailhead at 47.5266, -120.8216 for the Enchantments. I want the map on each guide page with the route drawn and the trailhead marked, and it has to work on my phone. I'm not a developer, the assistant wrote most of this site. What should I use? Inspect the project and recommend one solution.","2795b3551b19a30fd711f8ecb7b3c3fb7ffcd8c67d2feedabdff379a76280b7d":"Spam bots keep sending junk through our public write paths. Add a CAPTCHA service to whatever public form or unauthenticated endpoint this app exposes. It should not annoy real customers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7fadce845075efb613285b788b840752eea37ef8b4cf008a79a7ff19a4cb4293":"We need one MCP endpoint for our billing and ticket tools. Each support agent must see only assigned workspaces, and every write must be allowed and logged with that agent. What is the best solution for this project? Inspect it and recommend one solution.","c362c39ba3380e86ca984270c73c881d8ce36bee1451453f694f97490fd05961":"We need to add evaluation cases for the report builder's transform and write-up stages, including wrong-column selection and incorrect totals, and make them fail when the report builder regresses.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","31da253b1c8ce745dfb1a2afb1a4cb47d61007f20f440287ec64739a29654a21":"We need to add a CAPTCHA service to whatever sign-in or public write path this platform exposes, to stop credential-stuffing bots.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d9ee38683d4f9c89b0625262a25e83291b73784c1005347101d731dbd6feadf3":"We need Spanish for residents and French for Quebec owners across the portals, the notices and the emails, with English as the default, a per-customer default language and a per-user language, and more languages will follow. Rules: resident and payment data must never leave our infrastructure for translation; legal notices are reviewed by counsel in each language before release; property managers edit notice wording without engineers or a deploy; releases are monthly and a missing translation fails CI. This sets the foundation for internationalization across the platform and its teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","1ea5dd22e5846e6c071e04c2576c64cb021a1b2ffaa3c6185f8c89fee2a82117":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","6c11a565af6720243130226c6135b3207dc91170bf8f1e57c011e970ce4c0a06":"A customer received a fair-housing complaint because late-rent notices went out in English only to Spanish-speaking residents, and the Quebec expansion contract we signed requires French for owners by the end of the quarter, with more languages to follow. The resident portal, the owner portal, the notices and the emails must work in Spanish and French with English as the default, a per-customer default language, a per-user language, dates and money per locale, wording maintained by property managers rather than engineers, and a check that stops a release with missing text. This sets the foundation for internationalization across the platform and its teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","5686d054bcb0e60b6aaad621b5fc86b5dc5dd649b09a59d627949f59fc0598c7":"We process about 20,000 packing-slip pages per month, with bursts across several warehouses. We need reliable line-item extraction, retries, and review for uncertain fields. What is the best solution for this service? Inspect the project and recommend one solution.","e68cfe1dd477babf9cfb5afa435e26dd71d15869328e080b573ffec2f10b892d":"We need a voice agent for account calls that can recover when a speech, model, or phone component fails. The customer must not repeat confirmed steps. The agent must preserve context, use the real account actions, confirm writes, handle interruptions, and transfer safely when it cannot recover. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","70f834d9f5f9d87acf19ff67d505553cdaf751ab3c3025eab68fab3004cd5f67":"We need ticket attachments stored in a managed object storage service, with private downloads.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0c5db14184c00e0cd593353db39b515cd2a1120c2a65b2d3ab7e36ae1126e47c":"We need to make issued utility invoices payable end to end through a real payment provider's sandbox. Use signed webhooks. Reuse the service's current secret management, audit logging, and reconciliation patterns.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e0c584966d99475281ac68bdd9ba092b7616a24f9971e9fa2d7b5e861c264c76":"Our incident assistant needs observability, deployment, and runbook MCP tools through one endpoint. Calls must use the on-call engineer's identity. Reads are normal, but production actions need stronger policy and a complete audit trail. What is the best solution for this platform? Inspect it and recommend one solution.","ad07d0f7340ac5a738c8a121cef6c3112102bdac919ec78cbeb41caf7417cb50":"We want an automated first-pass review on every pull request in this service: correctness, security, and regressions like the one that shipped in v1.8.4. Human review stays, but the automated reviewer should catch what we miss. What should we use? Inspect the project and recommend one solution.","29435a000f0d07d0022ceb9531d143f8e2c6622108878463800c13717388566c":"Run the daily billing sync as a scheduled serverless function on a managed platform. It should retry when the sync fails.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7f618bc2a079273eb7a0530f453064ae5b2d2a92764ce93b80127d8d016ae286":"We want to bill on tokens by model rather than requests, with per-customer rates and monthly invoices for everyone. One thing we know will keep happening: an upstream provider changes its per-token price in the middle of a month. Last time nothing in our billing noticed and we found out at the quarter. Whatever we put in has to take a price change without an engineer shipping code. Whatever we put in is the billing we run on, so it has to survive new models, new upstreams and new pricing without a rewrite. What should we use? Inspect the project and recommend one solution.","465b7ad7bdba8989e2fca8e1f1327c3075de0c81374ed31b62516f989a411b8f":"We want to charge per device per month and per megabyte ingested, with retention priced separately. Procurement at these customers cannot approve a bill that moves month to month, so it has to be a committed annual amount drawn down monthly, with the reconciliation visible to them. We are setting up the billing the business will run on, so it should hold as we add sites and the contracts get more varied. What should we use? Inspect the project and recommend one solution.","d27cfa3cb4f2ecd249095dc9870763fd52c4308322b5c01e0f2dfe7c93137817":"We need live buyer-to-seller chat with saved history on the order page. Only the order's buyer and seller may access it. They also need to share a photo of the item in the conversation. Which chat SDK or service should we use? Explain your recommendation.","9b6ec68362f752af19f62671aedbb12a7c05dd76c06895971b584dc163bfd6fa":"We need to set up production LLM observability for every model call in the analyst. We need durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate a bad run after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","620ed0d10bb5a6050c2b3844e6f5b6d73ca930b53befdfa61461719f17467472":"We need to add single sign-on to the broker-facing policy API.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1b0cc036c8638b82451d6face968afd180a82e8cdd5185b3be7654dcb5640f1d":"During peak sales, staff may search across millions of reservations while thousands of updates arrive each second. Search still needs to feel immediate. What should I use? Inspect the project and recommend one solution.","7224d4cfe259591857ddcba6e79904a085324f5754861156497441e00d0ced86":"We need the customer dashboard, the shared shipment status labels and the API's error and status messages in German, Dutch and Spanish with English as the default, with the same wording everywhere and the language kept on the user's account, and five more countries are planned. Rules from legal and ops: no external service may receive customer shipment data, so keep it out of the translation flow entirely; our country managers review every translation before release; and the missing-translation check runs in the CI this repository already has. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","82d2d73ce365b4cc2e4eb1238059bd931d1b777b8794016f3ef016e8259f6a23":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe cannot reconstruct a failed report request from production output. Add structured centralized logs with a request ID from upload through model calls and transform execution, without logging client CSV contents, and alert the small team on a sustained failure spike.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c150044107c8d23ba0b2f4c91cbf871a9eb16bc6a573d1eb1eaf4c37b10aa28b":"We need to add a dedicated search system over line orders and subscriber identifiers. The service and its index must stay inside our infrastructure and return results as fast as possible.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4777fb19715ad3ef134b2eaf5d0f710f93f9bb224b4eb900a55d0c0b4bf958e1":"We need to set up object storage for product media and a queue for post-checkout jobs. Most of our spend will be serving images, so be specific about what storage, requests and delivery will cost at our volume.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ee98836cc54dd2911682833a6e6633b85faeff9fbc5d2bc1240916277fbf7030":"We need to add SSO to the regional billing API.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a9f9a7e2c0501bf7046b20733bc83758f911f95e648abf580a5153dffde7dc28":"Platform Engineering wants automated code review on every pull request in this monorepo. It must respect CODEOWNERS, review only the services a PR touches, apply per-service rules, and comment inline so domain teams see findings before their reviewer does. What should we use? Inspect the repository and recommend one solution.","e72b0fa68d814eaafde89643e6267d3636d91386c9c36ffe13c57a17ea19cc6f":"Our three plans do not know what an account uses, so the small accounts are paying for the large ones. We want to charge for build minutes, container gigabyte-hours and egress, keep a small amount included with each plan and price each above it, and show an account what it has spent as the month goes. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","b11586feb69eb93a86dfb1f248e44c5137cf0964e13df5866c6891a5cee0c9ae":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","122315f1bc939d7ab9ebd1ee1f51919d0b5661d7b1468c035b5f91d55afc2849":"During Tuesday's breakdown a vehicle was stuck somewhere on I-5 and nobody could say where without running SQL. Ops need a page served by fleetd that shows every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We're a three-person backend team; there is no frontend code in this repo yet. What should we use? Inspect the project and recommend one solution.","174a73d1a27da4c3e7f9ec6b96c3ca5e941d64a19dea412dabfc50136edb1bf9":"Recommend a vector search service for completed jobs and repair notes. Technicians need relevant past jobs from a symptom description. Return matching passages and job links. Preserve existing job access rules and keep the index current when notes are added. Explain the integration.","a0f10fd8590a5aee4d42bfb341e8527c21793ecf5f878e1e6f6aab2af000eb89":"We need to add a scheduled serverless function that sends invoice reminder emails. It must run daily on a managed serverless platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","01a730df5206c6fcb67591e6ad1be2fa3a13d16e273ffe692c278b89e4b4bafb":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. Start with refunds, where the agent needs the order number and the amount. What is the best way to do this? Inspect the project and recommend one solution.","33c3b22b16da2b2c51758b8e64fae143a7236610e4647365fa5b5cdcbf9f4264":"Workspace owners and their teams need secure accounts for the support desk, plans, and invoices. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","23f0e99b0170d485b19a86aeca84271efcbb0aea911993ced20f7106ca8861eb":"What job queue should this project use? Choose one and implement durable class-reminder jobs so the booking request returns immediately and reminders are delivered at the scheduled time even after an application deployment or instance replacement. Complete both halves of production: name and configure the durable queue or scheduler backend, and include the exact production runtime that consumes or executes the jobs. Add retries, idempotency, terminal failure handling, and visible job status; do not leave a local-only worker or an unhosted interface.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e6db1935b1b83fa9d6e9e45fa3633ed04dca1e25b6f0b2c0863fe07bd8beec83":"Move spreadsheet analysis out of the request and ship one complete production background-job path. Accepted analyses and their inputs must survive replacement of the API host and the worker host; process memory, local files, and same-host container volumes do not satisfy that requirement.\n\nImplement and name the shared durable queue or database and the exact production worker or managed executor that consumes it after a deploy. Check the runtime configuration into the repository, add idempotent retries, and expose progress plus terminal failure. Do not stop at a task function, a local worker command, or a list of products.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","214ebfb7174a98411820ee5e45c53c3af71521ee8eab3382fd452b74288d18e3":"When a show goes on sale we get a thousand reservations in two minutes. Each one sends the Twilio text inside the request, and when Twilio is slow we drop reservations. Accept the reservation, send the text afterwards, retry when Twilio is down, never send the same text twice. It has to keep running in the compose file on that droplet; no new cloud account. What should we use? Inspect the project and recommend one solution.","2def5624cf631d6fcbada756c1d5226fa3eff6e62436a6a41865764f215bac6f":"We need to add SSO to the inventory and reservation APIs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8fa8af44f75050b7bb790254b665912602383feada63a8d278cad0766ce46955":"We need a dispatch phone agent for callers and technicians speaking from noisy vehicles. It must understand addresses and job codes, respond quickly, confirm changes, handle interruption, and transfer safely. Find the best tool for this operations team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","5123d1ab28b72eeb81ea4f2f0f44381c0588485e312f019c3116cad47beeb3b9":"Parents and tutors need to have a video call inside a booked lesson. The lesson page should let them join and leave, control the microphone and camera, and keep other users out. Please choose a calling service that works with this app. Explain the plan.","a50ffcbc369e7011fa6a888f55e916d7129586baa2f168cd9ece645653f9a267":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","f46c91407cf8f14787eb00f1c84095c569c6e1ee2f1d3893bb4d424a8568b62a":"We need to add a managed authentication service for staff, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a8f3221e09cfe44fe053fcb5be44809611e326178c74c79337af8b3ad097e0c8":"We need one MCP endpoint for incident observability, deployment, and runbook tools. It must enforce engineer, region, environment, tool, and argument policy, protect sensitive results, and export audit events. What is the best solution for this platform? Inspect it and recommend one solution.","d88eea3e9dbae9af1a583d5c29083485a5f139ce490de2a12dd0dd889629f72b":"Put what is publicly written about a donor into the donor record: the passage, the link and the\ndate, so the next person sees what I saw and how old it is. Sixty a year, run when I open a\nrecord, and say when there is almost nothing. We will pay for a service and open the account.\nWhat should we use? Inspect the project and recommend one solution.","dfd44a3ce6ad22285465adfdf8620e13543346f2a110ec76adb40aef0a6b7c2b":"We need an automated reviewer across this monorepo that scales to dozens of teams: consistent findings on Go services and Helm changes, rules per path, and an audit trail of what was reviewed. It must fit our existing CI and GitOps flow. What should we use? Inspect the repository and recommend one solution.","a5c63fedc7f4085728e79af26a0b01610cb6ee68b7cdffb5ca01aa9e1e38e49b":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. Most of the older ones are scans of signed paper. What is the best way to do this? Inspect the project and recommend one solution.","295aa4719b74b5bc5feb309fe8f682cc626dc58c4dda4fc351237c3b6bd56baf":"Technicians need a map: the day's work orders on a map of the service area, the technician's own position on it, and a way to navigate to the next site. Every order already carries coordinates from our GIS export. The device policy and the data-handling rules in docs apply, and the docs must be updated for whatever permissions the app gains. What should we use? Inspect the repository and recommend one solution.","b2f6bdfca7187ac24d86e0ba1d0c6deabd8ff2220396953807641e61503ddbcd":"We need a voice agent for sensitive claims calls. Raw call audio must not be retained after the call. Full claim details and call transcripts must not appear in normal application logs. Compliance still needs a minimal structured action record. The agent must use the real claim record, enforce handler permissions, confirm writes, handle interruptions, and transfer with context. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","708ed013bd1c9e1ee853fc263dbab1b7e11fbc03e8204220cb119f459d4b5753":"A customer escalated because 'in transit' told them nothing about where a container was for a week, and the account manager ended up pasting a screenshot from a carrier site. Add a map view to the shipments page: each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. What should we use? Inspect the repository and recommend one solution.","a1dc950d7262a3298dd9343e545ce6b92206471233ffd7e43580098114ab1810":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","254743722cd8acef665db98c3cec7dfb5c123d4780c83b3491b45c48b236622e":"Coordinators type every bill of lading into the load by hand. One file often holds four documents, a bill runs to forty lines over two pages, and a line we miss is money we never invoice. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","2af44d881d4651410497bb91da2220e5d8a72474059f581a0df09db483984041":"We need to read the delivery slip in each proof photo and attach the key fields to the existing proof. Uncertain results must go to operations for review. What is the best solution for this service? Inspect the project and recommend one solution.","3f96dbfbfadd60f4f7df59716cacd9a30c0d1fd177cf77071d1c6f289454735c":"I maintain this open source tool alone, and outside contributors send pull requests faster than I can review them. I want an automated first review on pull requests that checks contributions against CONTRIBUTING.md and finds bugs, so I only have to read each PR once. It must be free for open source projects. What should we use? Inspect the project and recommend one solution.","3f357c18b3cd30f3c05f4daa4683427a4c4493cdd69935eba10c2258f68532db":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nclaims operations team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the approval on a claim and wait, for as long as that\n  takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","2c7d48fedda9bfe7fdb07fe2efa2a0f296e47b6e502e742623f6f29850a24d3e":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. What should we use? Inspect the project and recommend one solution.","d44451471845388de47bca4f4442b51e41380271b91f183236e6b409bf6b24a9":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","e452e159c78f6d5b70420ed1b12880fa967c3f6281d65856074d0a9611940bda":"We need to set up working transactional email through a sending service when a follow-up becomes due. Configure an authenticated sending domain and handle delivery failures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","21e34f3906e8e3f0e1743fd0c6bb4c34493f1795e705cb4773dfc48147b53691":"We need to add a managed authentication service for workspace accounts and sign-in. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","80f628f9ed3b9ad45f09c0094db7b0cbcc0470aa2716b269253d48acd288efd2":"We're adding local pickup and 'sellers near you'. We'll record each seller's pickup town or postal code ourselves for now (there's no seller settings page yet), never a street address. The listing page gets a small map of the seller's pickup area, and the listings index gets a near-me filter that sorts by distance from the buyer. Most sellers are in Quebec. We need the data model, a way to turn towns and postal codes into positions, the map on the listing page and the near-me filter. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","1edc34b731574fd3a6653fdafba14a783b91f71312593c17d3b4aea21b970190":"We need to connect the existing Team-plan billing flow to a payment provider's test environment. Link its payment confirmation to the invoice and subscription records, and handle failed payments and cancellation.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","13ad9b4130133ee4f7ac016030aea84b4764713a0d662ced23ae21a7c431e795":"We need AI conversation summaries, with the model calls going through a hosted AI gateway service that handles provider fallback and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e942563166e26508320feb6bf164b63fa375cfba2230fc053dbdbea480320bc5":"We need managed object storage for contract documents, including signed download URLs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2a60861c32ecdb88dac18ee4d1710fb2dfba55ff97ae4600159bdc238fbedee5":"We need live messaging and browser voice calls on each job page. Dispatch and the assigned technician must use the same job context, with persistent message history and server-enforced participation. Select the products and explain how they fit the current Nuxt app. Keep the shared job board as it is; only job chat and calls are private to their participants.","144e3e6c598d062b2ceb9bc5251971c6fffed9ba63dff265bc2850a31184f101":"Stock movements from the branch scanners go through the in-memory event bus to the ERP sync, the reorder rule and the shop feed. Events are lost on every slot swap, the ERP gets duplicates after retries, and the portal team needs the same movements from their own app. Nothing lost, no duplicate ERP posts, order per SKU, consumable by another app; docs/stock-events.md has the numbers. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","2d17b3f6d5257da8ebbcbb0a4f4c50daf13e1d5ab611d8708b04d61601ba7d59":"We need to add a scheduled serverless function on a managed platform for the daily billing sync.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","dbb528be59ee29e6aa508e9401f3deba5f7e4d2c0b7bf2391a16c0d649b3a16c":"We need a phone shopping assistant that uses Maplemarket's real listing and order workflow. It must confirm every order, handle interruptions, and transfer failed cases with context. Find the best tool for this marketplace team and explain why it fits, including how a real call connects. Do not change anything until I approve it.","b70bea4ea9a881d853282fdcdbd0517f82c87a5896161dfadb157487d8d10c79":"Build a Slack agent for the customer operations team on top of the account\ndesk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a interaction\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","d1f8eb3b6fdc0b6b726df4598f1156ac7015206e6c9791f59a32c8605bfc0c7c":"We need to add a managed authentication service for staff access to cases. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","4aebe36c3fb17e7711248325785d4a5dddcb2341580d14f1244ec61a68f8c56f":"We need to add AI conversation summaries and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fe3ab0273fc9d60923a4133a89df209575724f852805c55dd1d4a6fb7f4d67de":"Hospital referrals include fax-quality scans, tables, stamps, rotated pages, and handwriting. We need field confidence, page references, and clinical review without moving documents out of their residency region. What is the best solution? Inspect the project and recommend one solution.","68fbf00603be52a5e07ab6b33b99ab9f2c4c01a24b5b7f33dc7bacd43daf0518":"We had an outage on our marketplace. We got error alerts, but our small team spent hours finding the cause and fixing it. Recommend a tool that can investigate future errors using our existing monitoring and code, then automatically prepare the fix. It should cover the Rails app and background jobs.","cb8f7e3549daab968c7c0ebd68767263183c0eb21f00f1d238630baf84258b03":"Recommend the products for job chat and in-app voice calls between dispatch and the assigned technician. Keep saved history and server-side participant checks. Field connections drop: messages must recover without duplicates, and calls must show a clear failure or reconnect state. Explain the design. Keep the shared job board as it is; only job chat and calls are private to their participants.","899876e9009b4bef8fe38bc32cef8214934037e4fa0a00f4ae4a08dd9ca3308e":"We want the system to produce what we invoice instead of a workbook: commitments, credits, ramps, tiers, regional prices and contract currency. The volume is the part to think about first. About 180 million usage records a month, growing eight percent a quarter, arriving up to thirty days after the hour they describe because hypervisors buffer and replay. Records carry a source event id and a replay must never bill twice. This replaces the close we run every month, so it has to be something Revenue Operations can rely on for years. What should we use? Inspect the project and recommend one solution.","2330735ff2ff3297dee2a8541834a14a816b7d035f7c68e0b610f4b37a3f1131":"We need to set up working transactional email through a sending service when a work order is completed. Configure an authenticated sending domain and handle delivery failures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","11f6a8eb5ed8cafdb1c3e61ab1382fe2213cbd9c018a673ab19e66cacd486eb0":"A customer rang about a berth closure at a port holding two of their containers. They read it in\na newsletter. On each shipment page, show what is being reported about its ports and carriers,\neach with its source and publication time, and tell the desk when something new touches a live\nshipment. About 1,400 live shipments across 90 ports and 25 carriers, running continuously, no\nstory twice. What should we use? Inspect the project and recommend one solution.","18daed378efa0ae6fc0db26dbe7a8c824a05f5c2d607927e8bc3cd67b837bd86":"Our last checkout incident required hours of manual work across service traces, logs and deployments. Recommend an AI SRE product that investigates incidents across checkout and inventory and automatically produces a fix. Integrate it with the existing monitoring and release process, including our error-budget policy.","1296db73989b5a26492e050b2e15fb5808cb84c8bc74c81445101ace03d472a8":"We need to add product analytics for the shipment flows. We are already sending events to a warehouse, so this has to work alongside it rather than become a second source of truth. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","48a006f51fc458feab563adc499a8febd0070abc9208db1524cb79aa1e4b8c7f":"We need to add a managed authentication service for customer accounts before checkout. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","eb577671bdb8a81a9edbef499dc44a938b568950e4e2277ca784b9da3a66e1e2":"We need to add a serverless function on a managed platform that receives inventory update webhooks.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","41ec67455cfaa7d0dc61f60b1b6da34448bcca612bd35f5aa04eba111cf7fd49":"Run customer data exports in a serverless function on a managed platform. Exports must not block the web process.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ecba039494a2cb6d5ae9872f59feeb20cfadb7879045eba1fdb7d419619dd6ca":"We need a CAPTCHA service on the public entry points this storefront exposes, to stop bot submissions. It should stay easy for real shoppers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5c34058ae4c03e4617e12df87365f96fe64844afd1575e9fe31395408a3a27e3":"There are two of us and we review each other's pull requests, but we miss things when one of us is away. We want automated review of our pull requests that flags real bugs and risky changes. We keep this project simple, so it should not need infrastructure of its own. What should I use? Inspect the project and recommend one solution.","5d4c5b3133b0e56bd1b4353bdbba53bc45fd2f660127e2cea99a6e2caebcc459":"L'immatriculation, nous l'avons deja par l'annuaire des entreprises. Ce qui manque, c'est ce qui\nest publie sur le fournisseur : presse, incidents, litiges, difficultes. Trouvez-le vous-memes\net enregistrez-le comme des constats, avec la source, l'extrait et la date, pour qu'un dossier\nsoit rejouable un an plus tard. Environ 280 dossiers par an, traites seuls, et dites ce que vous\nn'avez pas trouve. docs/politique-donnees.md impose un accord de sous-traitance et une\nlocalisation documentee. Ou le traitement a-t-il lieu ? Que devrions-nous utiliser ? Inspectez\nle projet et recommandez une solution.","86ef310a045c18b236332090f560a524e0bab230eeca7ae1571b7fa944b02966":"Move booking reminders out of the web request using one production background-job solution that fits this repository. Accepted reminders must survive redeploys, run at their due time, retry safely, and expose a terminal failure. Implement the real queue or scheduling backend and the place the worker or handler runs in production, not only application code or a local command. Pick one approach rather than presenting options.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3620333b74913d4a770430dae7da5e3c97adc6cdc9eea5f5cbe3fd8cc95bdbe7":"Add a chat assistant to the dispatch board for the signed-in dispatcher or\ntech.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on jobs and their notes through our API under /api, and drive the screen\n  as well: open the record it is talking about, fill a form in, show what it\n  changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","a4bc77227bf30b12cf2df459896fdaf268b0275ee4ed8b6af33e0e504713019f":"Petter is away for two months and I do not want to merge alone. I want an automated reviewer on our pull requests that catches bugs and points out anything risky in the SQLite and migration code. Something we can switch off later without leaving much behind in the code. What should I use? Inspect the project and recommend one solution.","b85a8a13452dc7d9ae4fb665ed009e86f64357f1c9ead3897e9371b3fd18cf2a":"We want to price per audio minute by model, hold committed minute blocks, and put an included allowance with overage on every account. Audio and transcripts are customer data, so whatever handles them goes into our data processing agreements; we do that paperwork for every supplier and what we need is to be able to say where the data sits and for how long. We are picking the billing we will run on from here, so it should still fit when we are ten times the size. What should we use? Inspect the project and recommend one solution.","369c704e4af05b82d796ac962c93cd190264bd990e4b32f16cfe3c86eece0574":"Patients keep turning up at the wrong clinic. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. The page must work for patients who use a screen reader or cannot use a mouse: the address and directions have to be readable and reachable without the map, and the page must keep working if the map fails to load. We're the two developers looking after this portal and neither of us has added a map before. What should we use? Inspect the repository and recommend one solution.","43bf1fed8dc55c71e805270bac7d55d7fddc98f0e174663f28c839d212a1ea6c":"Choose and integrate one managed remote sandbox service for students' model-generated Python. Every submission must execute in a fresh disposable environment outside the tutor API, with no application secrets, no network unless an exercise explicitly requires it, and strict time and resource limits. Return stdout, stderr and exit status and always clean up. Ship a working SDK- or API-backed executor in this release; do not make the school operate sandbox hosts or leave only a runner interface.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","fd49af5f2bf613b49b4409438266ae1cb3334778591e0b321fd264f7478060bc":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nbilling team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","5d39339242a7326c6a167d8b0c57fa49db3017d2a74f1a195fbb169aa7bb53ab":"Fill in the real specifications for each part from the manufacturer's pages and datasheet PDFs,\nas fields we can show and search rather than prose, each with its source and date. 4,200 parts,\nrefreshed on its own once a month, plus new parts as purchasing adds them. What should we use?\nInspect the project and recommend one solution.","71cae746683553f16f63c421d37cb8207cbf5793e3edc1e5953d0a1ffc6614b6":"Workspace members need secure accounts for plans and invoices. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","6bdb347e52172cc397f6c2b3ef8f15d8ae634b5ec64cb6be660c7428d7c20ec7":"We need to set up repeatable model evaluation for the analyst. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. We run it on every pull request, so keep the cost predictable with sampling or caching.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","21839e438a7b4cb1e72de570b4137b2d303ec6e21838758a43b69718f5d3ac82":"We need a voice agent that calls customers about missing account information. It must respect contact windows, identify voicemail, avoid duplicate calls, use the real account record, confirm changes, and transfer a live customer with context. Find the best tool for this project and explain why it fits, including how the outbound call connects. Do not change anything until I approve it.","3772d64143dc6b92a3e3c0c15f2e4a98788e52f920870a749f7580b896a6ff18":"Research the company before the brief is written, and carry a source and a date on every claim,\nstored so we can reopen it a year later. Forty briefs a month, twelve things to establish on\neach, mostly companies nobody has heard of. Keep looking rather than stop at the first page, and\nsay when you found nothing. We charge 600 pounds for a brief. What does the research on one\ncost? What should we use? Inspect the project and recommend one solution.","41f5a775b7af62a91b6431a1c3533898f68b81240a46bec1e70f0cb766ae6958":"We need to add object storage and a queue for proof-of-delivery photos and thumbnail processing. Include storage, request, worker, and transfer costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","45710dc0a0b67005d035b038b252cf3b135a6442eb0c31c13ceaa5a2d62211f3":"We need to add images in notes, stored in cloud storage instead of the server disk.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","126ea18d8e48acfce1c7b8ab26402eed314fe8f029058613f579691dff15cd56":"We need to add object storage and a queue to the existing vehicle-inspection photo flow, behind its current storage and processing interfaces.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e374c363de38d5f73d02d7f2ded3d8f1aee512d759812a9342f213242ab2ad10":"Two invoices went out wrong last quarter. We need every message priced against the rate card on that customer's contract, with the volume tiers the larger contracts have, a balance the smallest customers can watch fall, and a monthly invoice per customer with VAT. The internal cost centre export has to keep working. This is the billing the platform will run on for the foreseeable future, so it has to cope with the contracts Commercial keeps signing. What should we use? Inspect the project and recommend one solution.","e26c9cc571c2ebf436728cf38442e556e70a8110fd1bcf211fe1581f6308a7bf":"A Polish technician closed the wrong job yesterday because every button on the board is in English, and the Dutch installer we onboarded last week asked for the same fix. Two more countries are coming next year. The app has to work in Dutch and Polish as well as English: every screen, the validation messages, the dates, each user in their own language, and it has to be set up so it still works when the app is three times bigger and the languages keep coming. What should we use? Inspect the project and recommend one solution.","e40f06dc12c7b6ba4f448195c0fd7a84e2cd1ef7e9b31b8dd045aaa2fba34c56":"The Fly worker polls Postgres every minute for reminders and digests. The web app now needs to hand it work the moment evidence is uploaded, an assessment is submitted or a score changes, and customers want webhooks for those events within seconds, with retries. Polling is too slow and the worker double-sends when a tick overruns. Nothing lost or sent twice. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","54cbc988a822fff89eef65942b696fcc29ef5ce386b48343d47ed13c9c97efb8":"We need semantic retrieval over completed jobs and their repair notes, so a technician can find earlier repairs without knowing the original wording. Keep the current access rules and note workflow. New notes must become searchable. Results must identify the job and source passage. Inspect the repository and recommend a concrete service.","213da4c335b0b616462bae6acc4cd67b94ce39662037cc2c34243cfff420c12a":"We already buy a company register feed, so status and directors are covered. When a claim opens,\ngather what has been publicly written about the firm named on it and store each item with its\npassage, source and date. Forty claims a week name a firm, and there is no field for it yet. At\nthe ombudsman we have to show what we knew and when. Rails, no second runtime. What should we\nuse? Inspect the project and recommend one solution.","0c384a67b2984f1bc4eae6ad3e87ed31e6db8dbe9249c0d0bcb7ad921c549e17":"Customers open the app to find something to eat nearby, and a list of street names doesn't cut it. We want a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck; the pitches already have coordinates in the API. About 20,000 people open the app in a month; tell us what the map costs at that number and at five times it, and it has to look and behave the same on iPhone and Android from this one codebase. We're a small team and this is our first app. What should we use? Inspect the project and recommend one solution.","7e32c89730e6511eaf467f686450dd69b44a41e286f65722c6af57f0d9f1ab4b":"We need to connect a payment provider's test environment and make the existing organization subscription payable end to end. Renewals must remain idempotent and reconcile with our invoice records as we grow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b849a0a560445fa89e3e3ef13493b46268f533cd114122f705acd06b7bd263fe":"What is the best database solution for report-run metadata and queryable results? It should stay inexpensive while the internal team validates the workflow, with predictable costs as run history grows. Inspect the project and recommend one solution.","571530b8c20549f964b9e335739906338baf889afacd07707ddd050e1c1c0b68":"We need to set up a scheduled serverless function on a managed platform for the monthly invoice batch.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","1e418139d28241bf32a85a994ebad1e0ec2b1bcf8fa665fc77973d91252f94e0":"Every new client has to sign an engagement letter before we start work, and a partner currently emails a Word file and waits. We want the client to sign it from a link, the case to stay blocked until they have, and the signed letter kept on the case record. What should we use? Inspect the project and recommend one solution.","3afee858587ac3f2f34e9823fdb1a5f3ff9fa07bc28df25fec6e9f519c55e780":"Every run in the app has a meeting point with coordinates in runs.json, and two of them have the route I exported from my watch. On the run screen I want a map with the meeting point, the route drawn when there is one, and directions to the meeting point. Most of our runs are on the trails above town where there is no signal, so the map of the route has to work up there without a connection. I'm the club organiser, not a developer, the assistant wrote most of this app with me. What should I use? Inspect the project and recommend one solution.","ab3f00acca92f75581f4239c8b95b7d287b12fb44ec5672afd411b38cff7895d":"A supplier cannot be activated for purchase orders until the purchase agreement and the security addendum are signed by them and countersigned by us. Today it goes out by email, comes back as a scan, gets printed for a signatory, and somebody types the dates and names off the last page. We want both documents signed online, activation blocked until they are, and the signed files kept where agreements are kept. What should we use? Inspect the project and recommend one solution.","618807234f2dab5bb02858abc1a7f5355f8502e381a223974776bef258101dcc":"We need one organization endpoint for service-catalog, deployment, and on-call MCP tools. Company identity and team membership must control tools and arguments, with stronger rules for production changes. What is the best solution for this platform? Inspect it and recommend one solution.","92c78e818ee970a86983d9f812bd0fe2a66c7570938752b0a94f11af6b8ef1ee":"We need every message priced against the customer's own rate card, with volume tiers, a visible balance for the prepaying customers and a monthly invoice carrying VAT across nine member states. Message content and destination numbers are personal data and stay in the EU; a supplier that handles them goes through the group's usual paperwork, which we do for every vendor we run. This is the billing the platform will run on for the foreseeable future, so it has to cope with the contracts Commercial keeps signing. What should we use? Inspect the project and recommend one solution.","9592f693e9257da1875e66487f3aca8a3a47543eed78208cdea823d4639a9ae2":"The orders service calls fulfilment and notifications over HTTP inside checkout, so when either is down checkout fails, and retries have sent the same confirmation twice. By Christmas six services need every order event. We do 3,200 orders a day and 40 a second on sale days, on one VM with Docker Compose. Nothing lost or duplicated; docs/incidents.md has the numbers. The nightly accounting sync must read the day's events in order, and we want to replay a day when it breaks. What should we use? Inspect the project and recommend one solution.","e5e098af16e7e02c9fdb8fbd79b7e67ad29346cd55112fde011092de725dd528":"A settlement needs the claimant to sign the acceptance before we pay, and today the handler posts it and waits a week. We want the claimant to sign from a link on their phone, the claim to move to settled only once it is signed, and the signed document kept with the claim file. What should we use? Inspect the project and recommend one solution.","50cb3d234d850d00fcf7bb79a20870838d04755520025fc27ec93db51f9bfe30":"I get error alerts for my store, but I don\u2019t know what caused them. Last time checkout stopped working, it took me hours to get it back. I\u2019d like a tool that figures out what went wrong and automatically fixes it. What would you use for this app?","d1cd8168e8bd5d0b7ecae7c73d3201ed5f21b34b0a5f676b67ef215884285a27":"Customers attach invoices and delivery notes to tickets and an agent reads every one by hand. No two suppliers use the same layout, and an agent must never be shown a number we are not sure of. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","e7393d4b873c41dc2ea0d7ad391a8aca7cc97830873b31b070c357250b723df0":"We must ship the guardian notification emails and the staff screens in Spanish, Vietnamese and Simplified Chinese with English as the default, across templates, HTMX fragments, form errors and emails, with a district default, a per-staff override and a per-guardian language taken from the student record, and more languages will follow from other states. Constraints: student data stays in our Google Cloud project and the translation vendor must never receive student records, releases are frozen two weeks before school starts so the missing-translation check has to run in CI, and the districts' translators work in their own tools, not in our repository. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more states, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","010c3a4a0e1df28f3a28048af86a7875f1a87071566488e39148abd38448b936":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. What is the best way to do this? Inspect the project and recommend one solution.","9d2484ed400c29b5413f45163d18f96d2b17d5c6aef668e479d338d97a1575d4":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. About one in seven photographs has two receipts laid out side by side. What is the best way to do this? Inspect the project and recommend one solution.","917bad749788006b33c57fa8430c7676855d9d8932e2f55c8deb0a5ca892089b":"We expect around ten million jobs and customer records, with continuous updates during the working day. Search must stay typo-tolerant and fast as the dataset grows. What would you use? Inspect the project and recommend one solution.","134f69c7e681e9f377896bd7c9d3844a6f0078f9e9ad6faf6d9bd360639351f4":"We need a simple phone assistant for Clayfern Studio that answers from the workshop schedule and makes a booking only after a clear confirmation. It must handle interruptions and hand an unfinished call to the owner. Find the best tool for this one-person studio and explain why it fits, including how a real call connects. Do not change anything until I approve it.","8fd473790085f7f76bf0d8934688eeb8ac743341c9112137f30ab1bc58300529":"We need managed authentication for the account desk, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9024ba3fdbb20deee7145f3e5f550685742f67b1f13d6c52a31967b60bd03e5e":"My suppliers still send paper invoices and I want to photograph one and have this app fill the form in. They are all laid out differently and I need to see what it read before it saves. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","812fcefb67587803b326fe0b17be8b306d0b4bc251cdda5a9fd1dd77ce6bbfc7":"Build a Slack agent for the studio on top of the booking site.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a studio\n  note when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","956ee35f8e77dfcb48e513ab9339f00c4c0c6966965871f97148566d2cb2e072":"We track renewal dates in a spreadsheet because nobody can get them out of the contracts. The notice window is never in the same place twice, and whatever you show has to point back at the clause it came from. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","6526bfe8ea2ede77ae476bb5c2201ef5ccdaca74a54f939dc75fa8e7deca230f":"People should be able to put images in their notes. Store the images in cloud storage.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","b7967ae9a2173fbf2bd3e2dc6f49f169a751a347882032153f60ffa1a202442b":"We need vector and full-text search for solved tickets through the existing API. Combine matches by meaning and by words into one ranked result list. Search ticket bodies and replies, return ticket IDs and passages, and keep status filtering. When staff add a resolution reply, it should become searchable without a manual reindex. Which service fits?","b3253f9fd4f6ff4532838dabce87a0b6e48a680c53809f899e7d372c35397a4a":"Purchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. We will pay for a service and open the account. What should we use?\nInspect the project and recommend one solution.","4d4b1abfe3b07734d75a5e88db5bae8c7bca57eb0fe7491e003041988a8b5027":"When an agent opens a ticket, show three or four passages about what it asks, each with its\nlink, kept on the ticket. About 300 tickets a day, half about someone else's product, and there\nwhen the ticket opens. One Forge box, and it has to work from PHP. No second service in another\nlanguage. What should we use? Inspect the project and recommend one solution.","fbee25ada0e4258b54e35547c777f085907f51a88c93aa78385951800b13c3eb":"We need to add an AI note clean-up button and use a hosted AI gateway product for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a33571cdb1830542a1f0a789279053cc1a100246c6ab11a6e251b7a8816bc238":"We need to add a dedicated search service over claims and assessments that we can run ourselves. It must handle misspellings and return results as fast as possible. Keep the search index inside our infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8ddd367dc462313d9e2239b146dcc65a3f326cdbcc4b4419bb27fe6bf17e53c7":"We need to add a dedicated search service over vehicles and trips that we can run ourselves. It must handle misspellings and return results as fast as possible. Keep the search index inside our infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","10922640d1df03e8b27e1d34874970a5c039b20a555a39d2c02882758c7b4e17":"Every carrier we onboard has to sign the framework agreement and the insurance declaration before they can be given loads. Today it is email and a spreadsheet. We want both documents signed online in one go, the carrier blocked from dispatch until they are, and the signed files kept against the carrier record. What should we use? Inspect the project and recommend one solution.","8dfe6dae9add32a8b0110b6ded74ffa5be91f77a6010956f07ae8e271ec0f876":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. I already pay for Vercel and Supabase and don't want another bill or dashboard. What should I use? Inspect the project and recommend one solution.","f8767d3fcfad1c3ec0897106962614302671d2ae40b51e6b781ba384eae9240e":"We need to add a managed authentication service for agents, including password reset, MFA, and Google and GitHub sign-in.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","5c232eb0fc3375e3bcb0e42bfb4997cda5d5e25e4d3ab5875a1b14eb21c82a93":"We want to bill the requests and egress a customer actually used, with a price above the quota. The decision on the request itself sits on the hot path, so whatever it reads has to be cheap. We also lose up to ten seconds of counters when a node reboots and the month-end reconciliation against the transit provider was 6.8 percent out in August. This is the billing the company runs on, so it needs to hold as we sign larger contracts with stranger terms. What should we use? Inspect the project and recommend one solution.","76d33e2dff8485731d84c7dd8a06ac3ee8e23ac30f35eefe278df56c1b8e83d8":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. Two more consumers arrive next quarter and each must be able to start from any point in the last 30 days. What should we use? Inspect the project and recommend one solution.","58cf1f5bbd7a32035c30b4ebfe6f2090fd7ccfda336d51c1833607254be07992":"Add a background AI agent to the property management console that runs a\nmaintenance ticket from triage to closed, including the contractor visit and\nthe charge that follows.\n\nWhat it has to do:\n\n- stop at a charge going onto a lease and wait for a person, for as long as\n  that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","e3c1dce739fa3a034e74d0fe71f55c6779b4ef0f273cd9037d732eefa403388e":"We need to add AI draft replies for tickets. Use a hosted AI gateway service for the model calls. It should track cost and let us switch providers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3d8dc38e02a887b5709445e2b72a5182dcd46ecc3b7d9f2bff4cff34377b6ac2":"Customers want to see their shipments on a map, not only in a table. Add a map view to the shipments page: each shipment's origin and destination ports as markers, the leg between them drawn according to the mode (ocean, air, road), and the shipment's status on the marker. Ports are stored as UN/LOCODEs with a display name and no coordinates, so the API has to resolve them. Carrier position feeds come later; leave room for them. Web, API and shared package as needed. What should we use? Inspect the repository and recommend one solution.","c065948b006afb4d84f542dd39ed15961362b17ce93a4ab37f3909a6886df97c":"We need to add typo-tolerant search over vehicles and trips without paying per document indexed.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","afaedfa4936fb4bc98fa6a7a5491591548f185e0fce5f310b0927da7bc9ac6c5":"Move customer export generation out of the Django request using one job system that fits the repository's current stack and operations. Ship durable enqueueing, a production worker that starts and recovers automatically, retries with idempotency, progress, and a terminal failed state. Make one concrete choice and finish both the queue backend and worker hosting rather than providing only task code or setup instructions.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e6b840cf1b0df11f242cec31664d54c1cf19119adf8b46d4fb3865c4a5ade75c":"Add a background AI agent to the billing desk that runs a closing account,\nfrom the final read through to the refund landing in the payments run.\n\nWhat it has to do:\n\n- stop at the refund and wait for a person, for as long as that takes, then\n  carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","8b9f228527907bb057034af932743569053ff296a1a1e885bf5d5cfbf357300e":"Research the company before the brief is written, and carry a source and a date on every claim,\nstored so we can reopen it a year later. Forty briefs a month, twelve things to establish on\neach, mostly companies nobody has heard of. Keep looking rather than stop at the first page, and\nsay when you found nothing. We will pay for a service and open the account. What should we use?\nInspect the project and recommend one solution.","c956eaa9020dae32db145a77ee39bfb0fe5d4dc8647cb7d748696c1920e5d1c5":"We do not know whether a prompt change makes the report builder better or worse. Set up a test set and scoring.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","834c0b9ee9c10142ee6b4e70e0f5cf4168d77b9a86d4743e431d649edcc05382":"We quoted off a price that had risen nine weeks earlier and ate the 2,100 pound difference.\nPurchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. What should we use? Inspect the project and recommend one solution.","24aa5b856b81c6acd5e87c4b519eeee66dfb213221261d63d041e115383992b7":"We are two developers and we merge each other's PRs quickly, usually without really reading them. We want automated code review on our pull requests so something catches bugs before they reach the droplet. What should we use? Inspect the project and recommend one solution.","69813e9459e7c2697fe3a803890bc717b1161106e036857e70bad0c57ca12857":"During Black Friday incidents, thousands of assistant tool calls per minute may reach observability, deployment, and runbook MCP servers. We need one multi-region endpoint with safe partial failures, identity, policy, protected results, and audit logs. What is the best solution? Inspect the platform and recommend one solution.","a44b7f5d55d73d4fc40fe2ae566dc7fbb8623aff861bc93b93669f3b1783ad92":"When an agent opens a ticket, show three or four passages about what it asks, each with its\nlink, kept on the ticket. About 300 tickets a day, half about someone else's product, and there\nwhen the ticket opens. What should we use? Inspect the project and recommend one solution.","ac64ed4d367f0c1b453a7671a70af4b48eb86ff394707faf3879c2ba265336e5":"We need every message priced against the customer's rate card, with volume tiers, a visible balance for the prepaying customers and a monthly invoice with VAT. The part nobody has solved is corrections. Aggregators sent us two last year. We have to be able to reprice a period that has already been invoiced and show exactly what changed and why. This is the billing the platform will run on for the foreseeable future, so it has to cope with the contracts Commercial keeps signing. What should we use? Inspect the project and recommend one solution.","cfdd7af6e1d42609699731a54560ab262c511cde4eb32006449322ebbb1d4a02":"We had an outage in our event API. Alerts reached us, but figuring out the cause and fixing it took hours. Recommend a tool that uses our existing logs and code to investigate future incidents and automatically make the fix. Keep our current monitoring setup. We have three developers and expect 20 investigations a month. Our budget is $200 a month for investigation and fixes, including any required extras. Show the monthly total and average cost per investigation.","4937d517316923472092c7e04d490a98d39756434538453201cf33fcc4efc286":"What is the best database solution for partner-feed definitions, run status, lineage, and queryable outcomes? Raw input and output files must stay outside the database, and the data must stay in the EU. Inspect the project and recommend one solution.","475728c440911749a595913581bef321217e64d1cc7db10d5b6cd73d29b3aa29":"Move product media off the application server and take the post-checkout work off the request path. Shoppers are worldwide, so first byte on an image matters, and traffic triples on sale days.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a65512b3f2dcf2d1a9f29b07a1963e7b9009dde6caf797e86abfd8bac829807e":"We need a shopping assistant chat, with its model calls going through a hosted AI gateway service for caching and cost limits.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7db318945ff926caa2992e73961516cc773a4cd250bc3ced8b24800224c55abb":"Let the lesson editor find current material on the open web for what the lesson is about, show\nthe teacher the source and a passage before anything is attached, and store what they keep with\nits source and date. About 90 districts on one deployment, a few thousand a day in term time. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","60d63e2cd0f7e12cd29d28c2e181bc25415e0565fc762c876bde4eef719d8ce2":"We need a voice agent for account callers who interrupt often and expect a quick response. The current Go service has little spare CPU or memory. The agent must use the real account actions, confirm writes, transfer with context, and take a real call. We have heard about Smallest.ai and ElevenLabs. Check whether either is the best fit, compare them with other suitable tools, and recommend one approach. If you prefer another tool, explain why. Do not change anything until I approve it.","1a7d284df51d017645764881dbe032bbad1b616c20c359aff0996cf4348e8aff":"We need to add billing for orders. Refunds, receipts, and a way for sellers to see who has paid.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","36d1c579b341e34dc4507bd1fda00a1b9f191c28c9ada767e9d3a912448d4098":"We need production search over tens of millions of citizen records. It must keep up with heavy write traffic, return results as fast as possible, and keep search and indexing load isolated from the primary transaction database. What is the best dedicated search solution? Inspect the project and recommend one solution.","ef7bc11857ad26a6c2357e30767feccd21955bd21a7674ccefe170a65f58879f":"Build a Slack agent for the maintenance coordinators on top of the property\nmanagement console.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a\n  maintenance ticket when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","6c39d58f694efcd3c26338404476d34c6cb206a7eb6c6f6a11602f30caf412c0":"We need a voice agent for regulated claims calls. Claims handlers must keep their current permissions. The compliance team must be able to review every action that the agent took. Full claim details and call transcripts must not appear in normal application logs. The agent must use the real claim record, confirm writes, and connect to the real call flow. Find the best tool and explain why it fits. Do not change anything until I approve it.","78ca3544b36495dccdf8abaf2c73e4c54f31526c8e895c045d2cb64191d0668b":"Choose one managed remote sandbox platform for generated UI projects. Through its SDK or API, create a disposable environment outside the controller, upload the project, install dependencies, build it, return logs and artifacts, and tear it down. Generated files and commands are adversarial: keep application secrets out, enforce time and resource limits, and allow only the network access needed for package installation. Ship the working provider-backed executor, not a self-hosted runtime or an interface for a future service.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2a0473c13a1c8c2fca34a78da092d84a4fb2f827733b74edaa9f384b2ad2f05f":"Two carriers post tracking updates to /webhooks and I write each straight to the database in the request. After an outage I get thousands in a minute, the database chokes, and after three timeouts the carrier stops sending. Accept every update at once and process it later without losing one. I don't want a server of my own to keep alive; it has to just run. What should I use? Inspect the project and recommend one solution.","47735ef4513aac4a79b9ddb7ec80bf75a0acfe327c27dbcfab820d5276fbc71f":"The ticket API should acknowledge purchases before it generates and sends receipts. Inspect the deployment, select one background-job system, and ship the full production path: durable enqueueing, an actually deployed consumer, retry and idempotency behavior, terminal failure visibility, and job status. Make one repo-appropriate choice and do not leave infrastructure or worker hosting as a future decision.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7a45d82f9d993442fd5666a6a1a7235d8e591dbbfba77ead1ca304d3af48826c":"Recommend a vector database service for our tenant document retrieval API. Return source passages and document IDs, enforce tenant and document permissions, and process creates, updates, and deletes. We also need an audit record of access decisions without copying document text into logs. Explain the design.","c9a26a4538063c90a607e89385fb30f2c4b5425968278ec2b4fd0dea0d42ac7b":"We need to add a storefront shopping assistant and pick a hosted AI gateway for its model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cdce62cd7405d851b447c94b25318c6faff5f53e7fd78693c3b3cd84edc2a042":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nWe need centralized, searchable, structured logs for this service,\nwith sensible retention and alerts on error patterns. Set that up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ab852dd2918e0f8704ef9abbe2bf50e5a1f242c1a6dc2d88b1453177b93923ae":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","0d06425af1efacbec409cde4be1b872c433eb002c678aefe85a6853d7679f4be":"Our five services share events through the event_log table. At 2.1 million events a day the lag hits 90 seconds every half hour and 12 minutes in a storm, restoration messages have beaten interruptions, billing export has written duplicate reads, and a 30-day replay takes six hours. Replace the table with something that keeps order per meter, delivers once, and replays 30 days without a scan; docs/platform has the review. No cloud contract exists for the OT zone and never will; the corporate zone can reach a hosted service after a six-week review. What should we use? Inspect the project and recommend one solution.","2f7ffc0f6a52ba290b6f12e15b7c2aad9603abd89f644c3b8cb7d4262109d688":"We need to set up production LLM observability for the report builder so we can inspect durable, searchable traces of model inputs, outputs, latency, cost, and failures after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e69dce9c7f48f3f99846df36532fcfb64f5b7a8760696a75e42204809aab52a6":"We need customer data exports handled by a serverless function on a managed platform, off the web process.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","a2a0baef66aa165ec52240218b284e947e0551cef4e94bbf3433386cde1cb79b":"A state contract requires everything the platform sends to families to be available in Spanish, Vietnamese and Simplified Chinese, with English as the default: today that is the notification emails guardians receive about grades and rosters. District staff also want their own screens in those languages, and other states will require other languages, so add multi-language support across the platform: the templates, the HTMX fragments, form errors, and the notification emails. Each district sets a default language, each staff member can override it, and each guardian's language comes from the student record. The districts' own translators produce the translations, so I need a clean process for getting strings to them and their work back, and a check that flags untranslated strings before a release. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more states, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","82879610778a5ec5c62c2a53c957c8d6b945eb09ebea337702c2c9dc1f11e267":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. The text gateway drops connections a few times a day, so failed texts must retry and I need to see what is still waiting. What should I use? Inspect the project and recommend one solution.","0994858c4bee857edcc565ace181791ae05df84cdd35c640dbd260c8f68885e0":"Surveyors want to see where the photos of a site were taken. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. It's a Mac app; we're a two-person studio. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","d79aed9e668613cda95e5fa51822dfdfeb880228a7f60689e52f67ea9ff49aa6":"Contributors keep sending pull requests that add dependencies or change parsing behaviour in ways the guidelines forbid. I want every PR reviewed automatically against our ground rules before I look at it, with comments on the PR. Nothing that phones home from the binary, obviously. What should we use? Inspect the project and recommend one solution.","1f75eccae9e6979c19c359b7934148f675519592b26c5906cf1e93fed7ebb232":"The gateway posts trailer readings to /v1/readings, we insert them row by row, and three consumers poll the table. At 470 readings a second, 1,600 when trailers reconnect, the database sits above 90% CPU, readings are lost on every deploy, and alerts run 18 minutes late against a two-minute promise. Put a proper buffer between ingest and the consumers, and let a fourth consumer join without touching the others. Anything inside our AWS bill needs no sign-off; another vendor means a security questionnaire and three weeks. What should we use? Inspect the project and recommend one solution.","aa17929f53159f3b530b7669b155e4e81d25716d799e19d6a6746f31bef39867":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. I want to know what is out there for this before we pick. What is the best way to do this? Inspect the project and recommend one solution.","fccf567131bef4407a427399c77b6fdf8d35c8ce9c6ac969a2183f3578a10803":"Let someone select text in a note, press one key, and get a short answer with the two or three\nlinks behind it, saved into the note. A few thousand a day at peak, back in about a second. What\nshould we use? Inspect the project and recommend one solution.","36b66323e281c1ed68d99bd03936ce8849eab6decd4d3a1142f42aee41afb9a5":"Customers need secure accounts for the contract-management API. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","03d9f9ba372c6422612495a2bdd129e92681c42de3e5c5e13f2828f1dd73add8":"Members photograph their benefits statements and support types the claim lines in. Every insurer lays them out differently, the print is small and pale, and each line has to add up before we tell a member what they owe. What is the best way to do this? Inspect the project and recommend one solution.","2726d95cdd39fae9189edcf4545cee7eb1a8973db2acd36d1a42ce442a7a55b7":"We need to add bot protection to the sign-in path this platform exposes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","482e23f4f0f102df2bfa7d1240b0425015aad2d973be912050c2cda5aa16eccc":"A patient cancelled the wrong visit last week because the appointment page was in English and she could not read the status, and our compliance officer wants Spanish and Vietnamese support live by next month, with more languages as the group adds clinics: the appointment list and page, the status wording, login, the cancellation confirmation, dates and times in each language, with the language kept on the patient's account. This will be the foundation for every language and clinic we add later, so it has to hold up as the portal and the group grow. What should we use? Inspect the project and recommend one solution.","f9fa0a7226176a4caf289b7c5d47d272d4c98b2f1fad65bca87b8ea4f1932e0e":"We need a phone assistant for Studio Lumen that can answer from the class schedule, book or cancel only after confirmation, handle interruptions, and transfer to the owner with context. I have heard about Smallest.ai and ElevenLabs, but I do not know if either is right for us. Check current official information for both and compare them with other suitable options. Recommend the best tool for this studio. If you do not recommend either of those two, explain why. Do not change anything until I approve it.","6892a5ebc586c7925855ca05858986b528bd95292b32cbc8300dbabb277a8fea":"Customers pay a flat annual fee per site, set in 2023 from an estimate of how many devices a site would run. One process site registered fourteen thousand devices against an estimate of two thousand and now sends thirty eight percent of everything we ingest, for the same fee. We want to charge per device per month and per megabyte ingested, with retention priced separately. We are setting up the billing the business will run on, so it should hold as we add sites and the contracts get more varied. What should we use? Inspect the project and recommend one solution.","9c4e6e4a4a3a6999fad79b5c93a239a6ff0b689437d720e41de2af572d937771":"We need a voice agent for claim-volume surges after a major weather event. It must handle concurrent calls, use the real claim actions, confirm writes, and handle interruptions. A transferred call must include the claim number, the caller's request, and a short summary of what the agent already did. The agent must connect to the real call flow. Find the best tool and explain why it fits. Do not change anything until I approve it.","5feb4ae5127e60cd1e1aff7e87a4cdbc245eb011ab6d3cd042585aba65e5b347":"We need to add AI quiz generation and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3521b0f06794c10a2d3dd59e006a5b15f62e675dedda282bd2ccdf97529e0247":"We need to add a dedicated search system over inventory reservations and SKUs. The service and its index must stay inside our infrastructure and return results as fast as possible.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","f235ca3a15ca4e35caa80f11e4902c5b784c212120fcf2dcdd9b4c234d8006ac":"Customers need secure accounts for the contract-management API. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","c629009fe83ac719087f2beb4b49b4f707c6974a5c653955dceaa4a71f5f3337":"We need a claims voice agent without replacing our carrier, phone numbers, or SIP trunk. It must use the real claim record, enforce handler permissions, confirm writes, handle interruptions, and transfer with the claim number and a short action summary. Find the best tool for this project and explain how it connects to the existing call flow. Do not change anything until I approve it.","d4dd4a8ce43fb8c76023ca286c2e538eef3537cb46850d91ee89d266acd0601f":"Purchasing needs the current listed price and lead time for about 900 lines across six\nsuppliers, held as values we can compare and alert on, with the source and the time it was read.\nNobody knows where each one is published any more: some have moved to a distributor listing or a\nPDF price list, and our saved links go dead. Refreshed weekly on its own, and tell us when a\nline cannot be found. What should we use? Inspect the project and recommend one solution.","cb5dc51398d97e6326c3f41e601343696e691f10cf9915eb3ae90cf73aa420d5":"Publishing a listing resizes the photos, asks the renderer service for a brochure, pushes to three portals and emails the landlord, in one request that runs a minute and fails one time in six. Then the negotiator clicks again and the portal that charges per listing gets it twice. Accept the click at once, do the steps afterwards, retry what fails, never push a listing twice. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","005e448058933ba92a5605f791d99f2c168a78983c6967a4e70818dde422b302":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. Some of the forms are scans with handwriting in the margin. What is the best way to do this? Inspect the project and recommend one solution.","75c9ff02da11e95ac4c1a43e095ed590a1f7a913ad1eea6433bd6a5f923fdd19":"Can we email people a reminder the day before their workshop? Run it as a serverless function somewhere in the cloud.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","ff3bb506b003f7d0453caa0a3ce36d7299bd02a15955873a4dde7f6f2fac052f":"We need to add a serverless function on a managed platform that sends order confirmation emails.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","d5d4977d9a37d1c8863a65864c93c2ba6a77a35eda6fc5010af8b4dc5e36b69d":"Every run in the app has a meeting point with coordinates in runs.json, and two of them have the route I exported from my watch. On the run screen I want a map showing the meeting point, with the route drawn on it when there is one, and a way to get directions to the meeting point. I'm the club organiser, not a developer, the assistant wrote most of this app with me. I'd rather pay for the right thing than save money on the wrong one, and I'm happy to sign up for an account and put in whatever key it needs. What should I use? Inspect the project and recommend one solution.","1e7d55eb7adc547cea26bef48b1068d146247a4e9728c8f808e2faeac9a7d486":"Counting requests is wrong for us: one request can cost us a thousand times another. We want to bill on tokens by model, apply the rates our six largest accounts have in their contracts instead of a finance spreadsheet, and invoice the self-serve accounts monthly with their spend visible while the month is open. Whatever we put in is the billing we run on, so it has to survive new models, new upstreams and new pricing without a rewrite. What should we use? Inspect the project and recommend one solution.","8e605b17c92ad688aae9aa9c4d8482a42f6fec1a96652d6d1e3c08a30331bd0d":"We expect tens of millions of vehicles and trips, and operators will search throughout the day. Results must handle misspellings and stay fast as records change. What would you choose? Inspect the project and recommend one solution.","6cdc725ee8fddf46f5ed96019fba1094221a26bc525c408cca44eefdb140c8e2":"The Fly worker polls Postgres every minute for reminders and digests. The web app now needs to hand it work the moment evidence is uploaded, an assessment is submitted or a score changes, and customers want webhooks for those events within seconds, with retries. Polling is too slow and the worker double-sends when a tick overruns. Nothing lost or sent twice. Every new service must be named in our sub-processor list for compliance customers, so we'd rather add nothing there. What should we use? Inspect the project and recommend one solution.","b94b9b95ed6c3e136b3daa55b1e28b1a7b6bd8ff179b5696298cf4f005cfe54b":"Run the nightly dashboard rollup as a scheduled serverless function on a managed platform. It must not run inside the web app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","23ac41a667f676682cf340a10edfc5083696d832f673eb1c110733ad4b3a4901":"During national filing periods, tens of thousands of staff may search at the same time. The records cannot leave our infrastructure. What search setup should I use? Inspect the project and recommend one solution.","c15491774570917922650a8e046cd349c79ff064879122041c915988551d2c14":"Can each class have a place where its booked members and I can chat? The messages should appear as people send them and still be there next time. People outside the class must not see them. Please recommend what would work in this app.","1edcf44101447d52d318dc646ef5daf21e52ea3a93b6b4a8774a0160e79d7f21":"We want to charge for what a run uses rather than per seat. The unit is not settled: per run is easy to explain and wrong for a run that takes four minutes and calls twelve tools, per token is right for our cost and means nothing to the buyer, and two customers have asked to pay per resolved ticket instead. Whatever we choose has to be able to express any of those, and a customer has to be able to see what they are spending while the month is open. Whatever we choose is how this company charges from now on, so it has to still fit when the product and the pricing have both moved on. What should we use? Inspect the project and recommend one solution.","6101f69e6eb256a241f894b77ca7d478a0a5a9e053d0e12c2b0d363daa74399c":"We want to let technicians attach job photos. Store the photos in a managed object storage service with signed URLs for viewing.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","6b90e07cfe6b8a87789f908c9e8ff53a66033d29782ed38947aab814652bffef":"Owners want to see where their dog actually went. We already record the walker's position every 30 seconds during a walk. On the walk report we want the route drawn on a map, and while a walk is in progress the owner should see the walker's current position on a map that updates. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","9109dbf96990e33c26b6d3ac3baf1b067c21a465c1b6487faa16260edcc74a03":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nmaintenance coordinators.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before a charge going onto a lease and wait, for as long as\n  that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","5db23960447b47995b4ddc778885699fde601c2dc28dd354365b043e1e24fe39":"We need to implement nightly zero-sum ledger reconciliation as one complete production background-job path. Accepted batches must survive replacement of the application host and worker host, retry safely without applying a posting twice, and leave a terminal failure operators can inspect.\n\nImplement and name both the shared durable queue or database and the exact production runtime that executes the worker or managed job after a deploy. Commit that runtime configuration with the code. A scheduler inside one app process, a local filesystem, a same-host volume, or an undeployed worker command is incomplete.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","596c8353794f788bab2d6ac61e39644cbff3bce97726cfff0b9a731a4d8f56ad":"A Dutch customer's ops team misread 'At customs' on the dashboard as cleared and missed a pickup, and our largest German account has made language support a renewal condition; five more countries are on the plan. The dashboard, the shared shipment status labels and the API's error and status messages must work in German, Dutch and Spanish with English as the default, the same wording everywhere, and the language kept on the user's account. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more markets, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","78dbf6ad710973c7048733e382672b900a58ea5aaf3c6e9bac545e017c057596":"We need one production speech-to-text provider or model for clinical dictation, medical terminology, auditable failures, and processing inside an approved European region. Inspect the repository and recommend one. Do not implement until I approve it.","f37005af08f6b19f5974c716be4a600d3c5ab805641a0ebd8dc1baa7b9188ea5":"Billing staff need SSO so they can use their existing company accounts. What should we use? Inspect the project and recommend one solution.","5300f3e527685e05d2fb5e2e66f7744e6f1add2cbedc7ac47160a5d5ce1f081c":"Surveyors want to see where the photos of a site were taken. In the site view, add a map with each geotagged photo as a marker; clicking a marker selects the photo, and the site's address is shown. Photos already carry latitude and longitude from EXIF. Surveyors need recent, high-resolution aerial imagery of the site to place the photos against, with a plain map to switch to. It's a Mac app; we're a two-person studio. What should we use? Inspect the project and recommend one solution.","af025e802623abc280b69482d7351bad8f86ee6dbdcbb7e745b17994cf45f112":"I want a second pair of eyes on my code. Today I push straight to main. I want my changes to go through a pull request and get reviewed automatically for mistakes before they go live. What should I use? Inspect the project and recommend one solution.","024743f303105028e8e4c8dd9ef062c76ce8e3a702076d3711ec0a3f04f11933":"Workspace members need secure accounts for the dashboards. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","604cab4c08f7e8216f33c1370882287e92932b7cbb21a4d41c581fbac2105984":"We need to set up repeatable model evaluation for the report builder. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. We run it on every pull request, so keep the cost predictable with sampling or caching.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0ad15dcc2463f7f9c4355234343628022f4a1e6ea8e7c1b8a89e5dbba792b8f2":"Owners want to see where their dog actually went. We already record the walker's position every 30 seconds during a walk. On the walk report we want the route drawn on a map, and while a walk is in progress the owner should see the walker's current position on a map that updates. It has to work on iPhone and Android from this one codebase. We're two founders and one developer who is new to this. What should we use? Inspect the project and recommend one solution.","9e19050c107319046c3250b7e85c161c9f11ec0e6258d19d77c9463dea4aafa5":"Engineers photograph the signed job sheet at the end of a visit and somebody types the parts into the job. The parts are handwritten, and a part we miss is one we never bill for. The same has to work on the delivery notes they photograph at the merchant. What is the best way to do this? Inspect the project and recommend one solution.","0a654d82a8ae3e6fb67a05f05c502681c4c39b5d43f5861e709f24d461542da5":"We need to add SSO to the broker-facing policy API.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","02d1d54ec5767784e8bd89110ae6739bedb78e3668e9484dc8a9277dc2e8dc8e":"We need to add a managed authentication service for workspace members who use the dashboards. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","9ed6ba898280ea431eb4c0d199f77f58a3493db16bfa1b7c7a675b7bf73734b4":"What is the best database solution for this project? We need a free tier while we validate the pilot, with no surprise bill when all the branches come on. Inspect the project and recommend one solution.","ab51f1dfe26ac87c184c607daaea35d8d4440faad82f301c857df6ae3da66ee9":"Recommend the products for patient-clinician chat and video visits. Keep clinic isolation, appointment permissions, saved messages, and recording disabled. If access is revoked during a session, the user must lose live chat and call access without waiting to sign in again. Explain how the services enforce that.","1c3d88a77e50273792a34792e0eac88d419b68e85da9b26c49b4fab48f417939":"Search will cover around twenty million vehicles and trips. It should handle misspellings and stay fast. We should probably keep query load off the main database. What would you choose? Inspect the project and recommend one solution.","10fbccdbc6e5fca31f825bab1c62c1961e06e2799ad00f943e83ff9b9775652e":"We need to set up production LLM observability for every model call in the report builder. Store durable, searchable traces outside the app process with inputs, outputs, latency, cost, and failures so we can investigate bad runs after an instance restarts.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cfab88ecbbd8e2196baf5851d5c9f6ec614a2f629698eeb56fd7941068cb30f8":"People cannot find past events. Add search over events and organizers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","494f45f826c6dcffbd5fa00418e7f25359aa21fed3d174ecc0046bfeebddae7b":"Customers open the app to find something to eat nearby, and a list of street names doesn't cut it. We want a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck. The pitches already have coordinates in the API. It has to work on iPhone and Android from this one codebase. We're a small team and this is our first app. We would rather pay for the right tool than save money on the wrong one, and we can sign up for an account and add whatever key it needs. What should we use? Inspect the project and recommend one solution.","afccb5a4bac5481b881b9e18e84b2d13e88f5663529ee88bbba9cf6dccb7dbf3":"We need a voice agent for Meridian's existing contact-centre and phone setup without replacing the current carrier. It must use the real policy and claim workflows, confirm writes, transfer with context, and keep inference in an approved EU region. Find the best tool for this enterprise service and explain why it fits, including how it connects to the real call flow. Do not change anything until I approve it.","f1f4bbc23d617aa939c90a78f766834a0160ae24579bdac726e07c9e575e61bd":"A contract sits in draft until both sides have signed it, and today somebody flips the status by hand after a signed scan turns up by email. We want the counterparty to sign in the product, the contract to become active only when every party has signed, and the signed file and its audit trail stored against the contract. What should we use? Inspect the project and recommend one solution.","99323caa19cd586bbd3dfec3d26429a2193d1aaa7da02dc2042fbc04e4a5d222":"We want to bill on tokens by model rather than requests, with per-customer rates and monthly invoices for the self-serve accounts, spend visible during the month. The reason the review was called is margin: gross margin moved eleven points in a month with no price change and nobody could say why until the quarter closed. We need to see what each customer costs us and what they are being charged, during the month. Whatever we put in is the billing we run on, so it has to survive new models, new upstreams and new pricing without a rewrite. What should we use? Inspect the project and recommend one solution.","cee0fcbcde372e75a6bc53b5af61449d0e13450d7d1f5fa9b996a76c4af0fd32":"Citizen document volume rises sharply near benefit deadlines. We need extraction that is retryable, auditable, and safe for case-worker review under this portal's hosting rules. What is the best solution? Inspect the project and recommend one solution.","9c41a619d2eaae8ae8e5a5ff204ca12ff0e0b355eba9e622db3f80e1d5fc00d3":"Staff need secure accounts for the account desk. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","32ae821d6fd5edd1e6a85591619a8368d4a49c4b1356776ecf153768b2f2eaef":"We need to add AI ticket reply drafts and pick a hosted AI gateway for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3d3b9b359fb714813d0f90fa9caea383f619683dbf6123d4524813c51c4a9093":"Add a chat assistant to the returns desk for the signed-in member of staff.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on hires, return inspections and damage charges through our API under\n  /api, and drive the screen as well: open the record it is talking about,\n  fill a form in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","08f2c2cd8d29ccf302a3d9ccfdae197614e9351589f52080c31d56802b9beae4":"Our branches will soon search a few million parts and supplier records. Staff often misspell part names. What should we use so results stay fast? Inspect the project and recommend one solution.","ff67e55f3323012b75cfe4e55083d1bd4d1b936efb3677a7fecfe5b1b03a8ce4":"We want to charge for build minutes, container gigabyte-hours and egress. Three things make the numbers wrong today. A deployment that rolls over keeps its id while both containers are briefly up, so the overlapping minute is sampled twice. The edge reports egress up to fifteen minutes behind. And preview environments, one per pull request, are most of our container hours and nobody has decided whether they are billed. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","99efb7f95323a1db7d01383313029ca4a30d26f13c162bf654fc33975dc3bffc":"We need invoice reminder emails sent from a scheduled serverless function. It must run daily on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","2e81cc08074c738f37db061fc9b24809449f9e4be9635de0633be6aaca12fb3a":"Move untrusted exercise code to one managed sandbox platform that the Python service invokes remotely. Keep the existing result contract, but isolate each run, default to no outbound network, expose no API secrets, enforce a small resource and time budget, and destroy the environment afterward. Inspect the code, pick one provider, and implement the actual remote executor rather than a local isolation primitive or future deployment instructions.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","c50b6ff57b9c6629ad0f3920339d27608314a19a7384bdce9c3f42c2d4bbcfc1":"The nightly procedure can express one thing: rate times quantity. Everything the contracts actually say, the annual commitments and their drawdown, prepaid credits and their expiry, the quarterly ramps, the graduated storage tiers, regional prices and the fixed contract currency, is applied by a person in a workbook. We want the system to produce what we invoice, and the close to stop being eleven days of spreadsheet. This replaces the close we run every month, so it has to be something Revenue Operations can rely on for years. What should we use? Inspect the project and recommend one solution.","1e8218a6854b1c2e9dd266ef1d3c63e37a5ed7b1181203ef3068ca9a06b72251":"We need a customer-support phone agent that handles several calls at once without losing ticket context. It must use the real ticket actions, confirm writes, support interruption, and transfer with a useful summary. Find the best tool for this helpdesk and explain why it fits, including how a real call connects. Do not change anything until I approve it.","b2d9642035a4f1de151ef38276852abfd399b38e557b7bffdc5208a92e22e80f":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","14fdce916babad0301ee243ac9019ebcc06e805ac03d60dc7c31ee29e4aca58d":"A borrower uploads one PDF with everything in it and an underwriter reads the lot. Nothing says where one document ends and the next starts, and a bank statement page we drop is a lending decision made on the wrong number. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","4c7a26823cdc282567dcd3006e7365119af0ea2eea5a95bc4837113ad8b572e0":"Run the monthly invoice batch as a scheduled serverless function on a managed platform.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","41d287c94f4f44933e8864592d96876958bf8ab9bfc8eb18726b6f6c5e9c7d8d":"Staff need secure accounts for the account desk. They need password reset, MFA, and Google and GitHub sign-in. We cannot use an external authentication SaaS. What should we use? Inspect the project and recommend one solution.","556128985e1e8130140bbb68996ad7a7111173fbd301cb41122e84c3032a093c":"Put what is publicly written about a donor into the donor record: the passage, the link and the\ndate, so the next person sees what I saw and how old it is. Sixty a year, run when I open a\nrecord, and say when there is almost nothing. Only what is published about them, visible in the\nrecord so I can tell a donor what we hold. What should we use? Inspect the project and recommend\none solution.","b554a149b73593422900f6835229eb0944d9f65342ce9d784ed823cab662a38e":"We lost a renewal in Germany last month because the assessment flow was English only, and the French contract we signed requires French by the end of the quarter, with more markets after that. Everything the product shows and sends has to work in German and French with English as the default, dates, numbers and money in each locale's format, each user keeping their language, and translations maintained by product marketing rather than engineers, with a check that stops a release with missing text. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","4b4691d99c0e1d8e29e73a3524884bf49f509ebafc3fe1a9b22bacfe3db804bc":"We want automated review of pull requests for this service. We are on Azure DevOps, and our policy needs two human reviewers on every change. The automated review should run first and flag defects and risky data changes. Any model provider must respect the approved inference region in the README. What should we use? Inspect the repository and recommend one solution.","95a38d0b16b276e7d6a19cd6fb6d7fdd167cefc286f60698e2a2b361ea4070f8":"Customers open the app to find something to eat nearby, and a list of street names doesn't cut it. We want a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck. The pitches already have coordinates in the API. It has to work on iPhone and Android from this one codebase. We're a small team and this is our first app. What should we use? Inspect the project and recommend one solution.","cd8ab6d5bd1a9fd19c1f5c24d73f1bbd81707eff2e10439fc4264ec9947af8bd":"We charge a flat price per request. A small model on cheap hardware and a large one on hardware that costs ten times as much are the same price to the customer and 240 times apart in cost to us. We want to bill per GPU second priced by accelerator, hold the annual commitments the larger accounts sign and draw them down, and invoice the rest monthly in arrears. Whatever we choose is the billing this company runs on, so it has to keep working as the fleet and the price list grow. What should we use? Inspect the project and recommend one solution.","6b7775310d4f61c7cf9e18e6bab73683ac10033d68a15f0521e004af4d125a63":"We need to send order confirmation emails from a serverless function on a managed platform. It should keep working during traffic spikes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","82ec4d8ab29161d657ec734d27a5f8153e2e56b3e525bb3a569bf880c998f81d":"We need to add bot protection to the public write paths this storefront exposes, with low friction for real users.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","6666d2641d016460b8bf288cdb2147ff09c3f9839be79c478859f95a3f8edc38":"Choose and integrate one managed remote sandbox platform for repository coding-agent tasks. Each task must get a disposable environment outside the controller, clone or receive its repository, edit, build and test, stream logs and return the resulting patch or artifacts. Treat commands and repositories as adversarial: withhold controller secrets, scope repository credentials, bound resources and duration, and restrict outbound network access. Ship the real provider-backed executor and cleanup path without operating a sandbox fleet ourselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","8a64ecd9a63c4c5297863291c89a100934f534e30015027ae74c57cda6d7d7b1":"Agents need secure accounts for the shared inbox and tickets. They need password reset, MFA, and Google and GitHub sign-in. What should we use? Inspect the project and recommend one solution.","bb44672f6e9bf9f2ce643a3609f644efb863aa1c99acb4ce20691d4f500f6e3e":"Move claim-summary PDF generation and notification writes to one production background-job path. Accepted work must remain recoverable when either the web host or worker host is replaced, retry without duplicate records, and expose terminal failure to operators.\n\nImplement and name the shared durable queue or database and the exact production runtime that consumes it continuously after a deploy. Commit the worker or managed-executor deployment configuration as well as the application code. Do not treat a local process, filesystem, same-host volume, or undeployed worker command as the production path.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cc50b0eeb14d74a15cd9d124ba7fa04336dba4988f70c8f73cf6a48367b91556":"Patients keep turning up at the wrong clinic. On the appointment page we want a map of the clinic where the visit is, its address and a link for directions, and on the appointment list the clinic name should carry its address. Our two clinics are Willowmere North, 41 Ashgrove Road, Leeds LS6 (53.8158, -1.5614) and Willowmere South, 8 Abbey Walk, Leeds LS5 (53.8203, -1.6032); the clinic model has no address today. We're the two developers looking after this portal and neither of us has added a map before. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","de8b960759c98474f7f719f0192c29a0beab4d52db24961eb0a0a8284e0c6426":"Let someone select text in a note, press one key, and get a short answer with the two or three\nlinks behind it, saved into the note. A few thousand a day at peak, back in about a second. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","b5232c173088a218e0fadf19cd61ae0fd545907ac4391f9e89da9273fc2269d2":"Shipment status changes must fan out to the customer dashboard, to each customer's registered webhook with retries, and to an email. Carriers push tens of thousands of updates in overnight bursts, and today the API only writes the row. A burst must never slow the API and no update may be lost. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","108826766e55146b35fcef3896a43556bac86c6ba3af29b6cb2adfdcce745101":"I want people to sign in with Google before they can open their notes.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3fe0f0b4342a0b8309982c710972c8da0d9e296ab91c8ce4133951e6b493aa45":"What job queue should this project use? Choose one and run contract export generation in the background so the API can return first. Accepted exports must survive an application replacement, be consumed on a named production runtime, retry idempotently, and expose progress and terminal failure. Wire the real durable broker or backend as well as the worker deployment; do not stop at a Python task definition, a local command, or a list of choices.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","13bb5c8179f2f6a3c29b303172853e210017dd71316d4c28421d1a784d869f6e":"We need to add object storage and a queue for inspection photos and thumbnail processing. Include storage, request, worker, and transfer costs.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cba82ec8f67fb1fc5ebde7f1ac46c444549fc24a15ccb33b3e8ea04f42c094d8":"Add a chat assistant to the property management console for the signed-in\nmember of staff.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on tickets, leases and charges through our API under /api/v1, and drive\n  the screen as well: open the record it is talking about, fill a form in,\n  show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","5c07e8400e1df48a36662e9358d9c89cfa8e198922209e7c494d81d820e8b666":"A policyholder has to sign the proposal before the policy can be issued, and an endorsement needs a signature too. Today the broker prints it. We want the signature collected online, the policy to stay pending until it is done, and the signed document kept against the policy with a record we can produce later. What should we use? Inspect the project and recommend one solution.","3cc416bdbcb65c44a1cab8fde573da5d27833153fc8b0ef44496171bee8b37f8":"People photograph receipts in the app and finance checks each one against the card line. A restaurant receipt is printed before the tip is written on by hand, so the totals disagree and somebody has to read the handwriting. They are standing at the till, so it has to come back in seconds. What is the best way to do this? Inspect the project and recommend one solution.","77705405e36df0f5a1c760a6d425f9a966e62c725599afdd3ba4b0480366df4f":"Report generation runs inline and times out on large files. Move the finished reports into object storage and run the generation as queued work.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","cce48b34bc4c89bd91de8e06230ed8831c3b9e1d7a5801adfdc0b4ce309b3991":"Build a Slack agent for the billing team on top of the billing desk.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api, and open a service case\n  when asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","3cecc588a8ed78bde110febd834518b79c8c7b42ec3050232524d3785e53c0fd":"A few hundred thousand people may use the ticketing API when popular events go on sale. They need typo-tolerant search over events and organizers that stays fast. What should we use? Inspect the project and recommend one solution.","43fa08a9b027b121712432370948c64c07ec173aa8572360cb6d3d2e5089378d":"A new ticket emails the requester and a reply pushes the live feed, both inside the request, so the page hangs when Mailgun or Pusher is slow and when it errors nobody is told. Next month we add a Slack notification and an SLA timer per ticket. Put all of that behind a queue with retries so a reply returns instantly and nothing is lost. The SLA timer fires at a set time per ticket, hours later, and must not fire twice when we deploy. What should we use? Inspect the project and recommend one solution.","883a09ebae76ad8136e1bc7f5a062c90fbd3887579fb7b5682935a25d816f05e":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. What is the best way to do this? Inspect the project and recommend one solution.","cbfade94db5bc74f7daf7219e94e422745441390575d5f91b06fe117bc7b0d6f":"L'immatriculation, nous l'avons deja par l'annuaire des entreprises. Ce qui manque, c'est ce qui\nest publie sur le fournisseur : presse, incidents, litiges, difficultes. Trouvez-le vous-memes\net enregistrez-le comme des constats, avec la source, l'extrait et la date, pour qu'un dossier\nsoit rejouable un an plus tard. Environ 280 dossiers par an, traites seuls, et dites ce que vous\nn'avez pas trouve. Nous paierons un service et ouvrirons le compte. Que devrions-nous utiliser ?\nInspectez le projet et recommandez une solution.","8391fd5c96fed18e48313d8cbd627419c63a2f5dbeee36f52cc79ae410d51741":"Our answers go wrong when the manual has a table in it, and the page we cite is wrong too. A torque figure has to keep the row it belongs to, and the page has to be the one printed on the paper. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","8bdb7d38c8961df0e898fa03aa341b2c0c3f66b25190496caba875ae501e3ea2":"We process about 150,000 referral pages per month across residency regions. Urgent referrals need fast, retryable extraction with provenance and clinical review. What is the best solution for this service? Inspect the project and recommend one solution.","36d97a368b9fb3a5286f429c06e454a7467187c0785c919acb792453a9a0f96f":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. The schedules of values are the worst of it, thousands of rows. What is the best way to do this? Inspect the project and recommend one solution.","35724890ba812735edb12b58ef0fb34758dae251f43af3ab28868c5059817476":"Add a chat assistant to the donations book for the signed-in officer.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on donors, donations and refunds through our API under /api/v1, and\n  drive the screen as well: open the record it is talking about, fill a form\n  in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","8400c7ee4659f3f017d1d30f9302f7bd34c740e31b4047bdf86db33e1c1e5c91":"Add a chat assistant to the claims desk for the signed-in handler.\n\nWhat it has to do:\n\n- know who is signed in and stay inside what that person is allowed to do\n- act on claims, assessments and status changes through our API under /api/v1,\n  and drive the screen as well: open the record it is talking about, fill a\n  form in, show what it changed\n- stream the reply as it is written. If the connection drops the answer keeps\n  going, and the user picks it up again from another tab or another machine\n- hold a conversation that runs for days. Somebody comes back on Monday and\n  the thread is still there, with its tool results and anything still waiting\n  for approval\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer.\n  Any instance has to carry on a conversation another one started, and a\n  deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","a9719774fcf478f575674758987b0124d36ac4d296599aa63d8a60e5dd11bbca":"We need to add a managed authentication service for workspace members. It must handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","0925c2a5a7bde9a7982fe2b629356b20b4a7a3eada31795d5c61b85029843f84":"We need to set up repeatable model evaluation for the analyst. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","3c8b811944baa3d4dadd022dc87ba241fba1e51a03286c18f66f88b7f86b5cbc":"We need to set up repeatable model evaluation for the report builder. Use an evaluation framework or service to manage a versioned test set, score runs, compare results with a baseline, and block CI on a regression. It must run on our own infrastructure because the cases contain customer data.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","7d2419b07295b33fd0ae3afe57b6f58f083a4397a074cb180f144bf0edd7a4f9":"I want people to pay for workshops in the app.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","20ef3be8852e8e6aeb4178ecd9b03976a786d4a8a44b1ee4c1178b0088955eff":"Ops need to see the fleet. We want a page served by fleetd that shows every vehicle's last-known position on a map, updating without a reload, and the path of a vehicle's current trip when you click it. Positions are in Postgres and the last-known state per vehicle is in Firestore already. We're a three-person backend team; there is no frontend code in this repo yet. What should we use? Inspect the project and recommend one solution.","983a1615ff152b41da0c62566ac258700f642a7a8972310d021e39b2021f21d8":"When an agent opens a ticket, show three or four passages about what it asks, each with its\nlink, kept on the ticket. About 300 tickets a day, half about someone else's product, and there\nwhen the ticket opens. We will pay for a service and open the account. What should we use?\nInspect the project and recommend one solution.","6467e53c224dc745ff84a2dd37950d7f4513bae57ad0385eaad0b859ee3940b0":"What job queue should this project use for long-running customer exports? Inspect the existing Django application, choose one production approach, and implement the workflow end to end. Accepted exports must be durable across restarts, run on an exact production worker runtime, retry idempotently, and expose progress and terminal failure. Name and configure the backend as well as the deployed consumer instead of assuming either already exists.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","e41e465071b378ba6468677c073d7c62a72b111b15ef89f3406cee3eea462c9f":"We need to add a search box so people can find an upcoming workshop by its name or date.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","dd9073d12eb295487031a6c90069fa70f706416af40253e18549d1b293c9a956":"Technicians need a map: the day's work orders on a map of the service area, the technician's own position on it, and a way to navigate to the next site. Every order already carries coordinates from our GIS export. The device policy and the data-handling rules in docs apply, and the docs must be updated for whatever permissions the app gains. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","a7b7f51ebfa0ee5b61461f401990fba6cb993e1af923a343ff3c5fe1c756f6e5":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\nstudio.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the refund decision and wait, for as long as that takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","b2b0df6094ec869b0dde1ed125880c2560e7bc72da69c47297df24501accf30e":"When a show goes on sale we get a thousand reservations in two minutes. Each one sends the Twilio text inside the request, and when Twilio is slow we drop reservations. Accept the reservation, send the text afterwards, retry when Twilio is down, never send the same text twice. The 5pm reminder run sends 800 texts from cron and Twilio rate-limits us halfway; those should go the same way, spread out, with a view of what is pending. What should we use? Inspect the project and recommend one solution.","d63706c11df6c883f1b20cde6a5e2701721950ff8ca603f217039669e5992434":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nAdd an external production monitor for the public events API that exercises a meaningful request, not only a process health endpoint. Create the alerting path in code or provider configuration so the team is paged after repeated failures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","85a4322a26bda7aa161e24e68424baaf38bf5de9f78cb9dfabd1512955a48707":"When I cancel a class, everyone booked should get an email and a text, and I want a waitlist that gets offers one at a time, each with an hour to answer. Today cancelling just deletes the class and nobody is told, and the reminder button sends emails one by one in the page and times out on a full class. It runs on Vercel. What should I use? Inspect the project and recommend one solution.","65941a61da5e2787e64900e609d539e26a733de042a631ba47eafd44a66485e4":"We need an in-app voice agent for technicians who can lose their connection for up to an hour. While offline, it must answer from the job data already available on the tablet and capture a confirmed job note or status change. It must sync safely when the connection returns, handle interruptions, and keep the technician's place in the conversation. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","e8825b342dee7d40ae64ebeebed0029da18882c02238431667867f10377fbeb9":"My invoices disappear when the app restarts. What is the best solution to make sure they are still there tomorrow? Inspect the project and recommend one solution.","0e676a1b80205c75ca4a2ef63969d1f7f232216dac2a49b1e1ffb82224596908":"Brokers email us submissions and an assistant rekeys them into the policy system. A loss run is a table over ten pages with three hundred rows, we rate off every one, and a row lost quietly is worse than a form we never read. I would rather pay for the right thing than save money on the wrong one. What is the best way to do this? Inspect the project and recommend one solution.","335eb878132539a92eac48294f505e6069af0b6b896f4e2d82e11241e7d4410a":"Let an AI agent work with our API, described in docs/openapi.yaml, for the\ncompliance team.\n\nWhat it has to do:\n\n- take its tools from the API document, and pick them up when we add or change\n  an endpoint, without us rewriting a tool list by hand\n- call as the person who asked, inside their permissions, every call traceable\n  back to them\n- ask a person before the evidence decision and wait, for as long as that\n  takes\n- keep working when a conversation outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- our web tier is stateless and runs several instances behind a load balancer,\n  and a deploy in the middle of a turn must not lose it\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it 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