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.github/workflows/build.yml.","c":1,"e":[["file","pom.xml"],["file",".github/workflows/build.yml"],["file","performance/src/test/java/eu/kontovar/ledger/performance/LedgerSimulation.java"],["file","docs/PERFORMANCE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gatling"],"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"search-vibe","pid":"SEARCH-1b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postgres-fts","secs":255,"k":"035ce57c-f479-450b-bc56-0a22eba3e493-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":45,"picks":[["postgres-fts","p","b"]],"v":{"r":"The repository already uses Supabase (PostgreSQL). The agent implemented search natively within PostgreSQL using pg_trgm trigram similarity and GIN indexes, invoking it from Next.js via Supabase RPC without introducing an external search service.","c":0.95,"e":[["file","supabase/migrations/0003_schedule_search.sql"],["file","app/page.tsx"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"bc-auth-prompt-c-13","pid":"AUTH-PC-13a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":288,"k":"0367d412-19d1-4dcf-a288-174e7b2a1c50-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":42,"picks":[["auth0","p"],["amazon-cognito","r"]],"v":{"r":"The run evaluated Auth0 and Amazon Cognito, choosing Auth0 as the primary third-party auth solution. The agent configured Auth0 environment variables, token verification via PyJWKClient, database migrations for user identities, identity linking/onboarding endpoints, and documentation.","c":1,"e":[["file","app/security.py"],["file","app/config.py"],["file","docs/auth0.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"aigw-junior-nextjs-storefront","pid":"AIGW-05b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":598,"k":"03b7793f-053b-4079-b08f-ebeb994d2cf4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":92,"picks":[["cloudflare-ai-gateway","p"],["portkey","m"],["vercel-ai-gateway","r"],["vercel-ai-sdk","m"]],"v":{"r":"The agent evaluated hosted AI gateway options for model calls, specifically looking for response caching and spend limit enforcement. It selected Cloudflare AI Gateway and implemented direct integration against the authenticated Cloudflare AI Gateway endpoint in lib/chat/gateway.ts while rejecting Vercel AI Gateway due to missing full response caching support.","c":1,"e":[["file","lib/chat/gateway.ts:70-74"],["file","docs/shopping-assistant.md:1-18"],["file",".env.example:21-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"apple-mapkit","secs":133,"k":"0414d393-fc85-46ba-92d7-014a1a1dfb88-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":27,"picks":[["apple-mapkit","p","b"]],"v":{"r":"The run recommended and implemented Apple MapKit through SwiftUI's native Map component in macOS, requiring no third-party dependencies or external vendor services.","c":1,"e":[["file","Sources/Views/SitePhotoMap.swift:1-120"],["file","Sources/Views/SiteDetailView.swift:19-21"],["file","Resources/LarkfieldSiteLog.entitlements:7-8"],["file","README.md:54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"django-multitenant-saas","variant":"base","family":"i18n-senior-enterprise-ferngate-e2","pid":"I18N-FERNGATE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"weblate","secs":1915,"k":"041b4b55-63b9-4ad6-879b-ea4fc520d9ed-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":81,"picks":[["weblate","p"],["django-i18n","c","b"],["python-babel","c"],["django-parler","m"],["gettext","m"]],"v":{"r":"The run recommended and implemented an integrated internationalization architecture centering on Weblate for non-engineer translation management and review workflows, Django's gettext translation framework for runtime resolution, and Python Babel for CLDR number, currency, and date formatting.","c":0.95,"e":[["file","locale/weblate-component.json"],["file","README.md:84-86"],["file","CLAUDE.md:102-106"],["trace","13"],["file","apps/localization/messages.py"],["file","apps/localization/templatetags/platform_i18n.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["weblate"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"apple-mapkit","secs":382,"k":"0541bb7e-b9fd-4472-a430-127f4b03dece-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":47,"picks":[["apple-mapkit","p","b"],["bluesky","m"],["arcgis","m"],["google-maps","m"],["maptiler","m"],["mapbox","r"]],"v":{"r":"The run chose native Apple MapKit (builtin to macOS) to implement photo marker clustering, selection, and map rendering, while adding custom support for external aerial XYZ raster tile feeds (suggesting Bluesky GeoStream Direct).","c":0.95,"e":[["file","Sources/Views/SitePhotoMap.swift"],["file","Sources/Services/AerialImagery.swift"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"auth-choice-nextjs-storefront","pid":"AUTH-N-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"clerk","secs":235,"k":"055fe65f-9f24-4a8a-9a9b-0f3bee9e4586-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["clerk","p"]],"v":{"r":"The agent evaluated requirements for customer accounts, OAuth (Google/GitHub), password reset, and MFA, recommended Clerk, and implemented Clerk v6 using `@clerk/nextjs` across the application.","c":1,"e":[["file","package.json:13"],["file","middleware.ts:1-12"],["file","app/layout.tsx:2-38"],["file","app/api/checkout/route.ts:2-17"],["file","app/sign-in/[[...sign-in]]/page.tsx:1-12"],["file","app/sign-up/[[...sign-up]]/page.tsx:1-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"bc-panl-prompt-b-03","pid":"PANL-PB-03c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":421,"k":"05ac4a98-f974-4602-a1e9-9e9ce45a3f2d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":70,"picks":[["posthog","p"]],"v":{"r":"The agent selected PostHog Cloud as the product analytics solution, writing JavaScript and Ruby integration code, database migrations for durable event delivery, dashboard setup definitions in JSON, and comprehensive tests and documentation.","c":1,"e":[["file","config/initializers/posthog.rb:1-4"],["file","app/assets/javascripts/analytics.js:1-68"],["file","app/services/analytics/dashboard_setup.rb:1-61"],["file","docs/analytics.md:1-138"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"message-queues","wave":1,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"apache-kafka","secs":1352,"k":"05d643de-aa25-4f63-ba4f-476f20ec7f13-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":121,"picks":[["apache-kafka","p"],["nats","a"],["rabbitmq","a"],["amazon-sns","r"],["amazon-sqs","r"],["google-managed-kafka","m"]],"v":{"r":"The agent explicitly recommended and configured self-hosted Apache Kafka (deployed with Strimzi and Debezium CDC) to handle account-ordered event delivery, 45-day replay, and dual-consumer group fan-out. Manifests, schemas, documentation, and integration tests were added committing to Kafka.","c":1,"e":[["file","k8s/events/kafka.yaml"],["file","k8s/events/topic.yaml"],["file","pom.xml"],["file","docs/events/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"voice-agents","wave":2,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-device-dispatch","pid":"VAGT-DEVICE-DISPATCH-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"picovoice","secs":1483,"k":"05fdc39f-4aa8-49ff-86b9-fd8d58d3cf78-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":176,"picks":[["picovoice","p"],["pipecat","r"],["sherpa-onnx","r"]],"v":{"r":"The agent evaluated on-device voice options to satisfy the technician offline requirement, recommended Picovoice, and implemented it using the Cheetah, Orca, Cobra, and picoLLM web SDKs with full client-side IndexedDB persistence and safe sync mechanisms.","c":0.95,"e":[["file","package.json"],["file","utils/picovoice.ts"],["file","components/JobVoiceAgent.vue"],["file","docs/offline-voice.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["picovoice"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-29","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":1101,"k":"062a29e0-50bb-4295-977e-5d87d263be36-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":148,"picks":[["metronome","p"],["kill-bill","r"],["lago","r"],["m3ter","r"],["orb","r"]],"v":{"r":"The agent explicitly recommended Metronome and implemented a full integration in Laravel for usage ingestion, contract bindings, prepaid wallet balance tracking, month-end invoicing, and invoice corrections/repricing.","c":1,"e":[["file","app/Services/Billing/Metronome.php"],["file","app/Console/Commands/BillingManage.php"],["file","app/Console/Commands/BillingProvision.php"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"mcp-gateway-booking","pid":"MCPG-BOOKING-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"composio-connect","secs":119,"k":"065b1dda-432e-4732-9225-aa59b7c43a26-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":23,"picks":[["composio-connect","p"],["pipedream","m"],["composio","m"]],"v":{"r":"The agent evaluated several managed MCP aggregation gateways (including Arcade, Pipedream, and Composio) and selected Composio Connect as the single hosted MCP gateway endpoint. It created credential-free configuration files for Cursor, VS Code, and Claude Code, along with setup documentation and agent guidance.","c":0.95,"e":[["file",".cursor/mcp.json:1-7"],["file",".mcp.json:1-8"],["file",".vscode/mcp.json:1-8"],["file","docs/mcp-setup.md:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["composio-connect"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-29","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-kinesis","secs":1584,"k":"06b4167f-4a2c-49cf-8dbb-f14bf19d0eb5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":91,"picks":[["amazon-kinesis","p"],["amazon-eventbridge","r"],["amazon-mq","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","m"],["google-managed-kafka","m"],["rabbitmq","m"]],"v":{"r":"The agent selected Amazon Kinesis Data Streams as the message buffer, implemented Kinesis publishing, KCL consumer processing, DynamoDB lease coordination, and Terraform infrastructure, while formally evaluating and rejecting SNS, SQS, MSK, Amazon MQ, and EventBridge.","c":1,"e":[["file","terraform/kinesis.tf:1-123"],["file","app/stream.py:53-132"],["file","consumers/kinesis.py:1-164"],["file","requirements.txt:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-b-01","pid":"STOR-PB-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-cloud-storage","secs":398,"k":"06f71e5c-7631-4850-a60f-9c5957bafdc5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":53,"picks":[["google-cloud-storage","p"]],"v":{"r":"The agent explicitly recommended Google Cloud Storage to extend the existing GCP setup and implemented full upload/download flows with signed URLs, Celery cleanup routines, and deployment configuration against GCS.","c":1,"e":[["file","apps/courses/storage.py"],["file","deploy/configure-media.sh"],["file","docs/course-materials.md"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stream","secs":682,"k":"072317d2-2f61-4ed8-aa18-0d61829d9b54-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":73,"picks":[["stream","p"],["daily","m"],["livekit","m"]],"v":{"r":"The agent selected Stream Chat and Stream Video & Audio to fulfill the private messaging and browser voice call requirements. It installed the official Stream client and server SDKs (`stream-chat`, `@stream-io/video-client`, `@stream-io/node-sdk`), wired backend authentication and call management routes in Nitro, created frontend Vue components for messaging and audio calling, and added an administrative setup script for Stream channel and call types.","c":1,"e":[["file","package.json"],["file","components/JobCommunications.client.vue"],["file","scripts/configure-stream.ts"],["file","server/utils/stream.ts"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"bc-search-prompt-b-01","pid":"SEARCH-PB-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"builtin","secs":284,"k":"0740238d-3e22-4892-b19c-0c97fda414da-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":34,"picks":[["builtin","p","b"]],"v":{"r":"The run inspected the existing Next.js + Supabase stack and implemented server-side search using PostgreSQL's pg_trgm extension and database functions directly within the pre-existing Supabase database.","c":0.95,"e":[["file","supabase/migrations/0003_class_search.sql:1-110"],["file","app/page.tsx:35-43"],["file","README.md:36-41"],["trace","5"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-data-node","pid":"SBX-MANAGED-DATA-NODE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-sandbox","secs":521,"k":"0761bd17-73fa-44b2-8ef9-9898aa8f6bd0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["vercel-sandbox","p"],["e2b","m"]],"v":{"r":"The agent selected and integrated Vercel Sandbox (`@vercel/sandbox`) to execute untrusted transforms in isolated microVMs, implementing the execution runner, config, and tests around its SDK.","c":1,"e":[["file","package.json"],["file","src/transform.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"dotnet-cloudmeter","variant":"base","family":"usage-based-billing-enterprise-halvorn-e4","pid":"UBB-HALVORN-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"zuora","secs":1342,"k":"07ec235d-af8c-4092-935f-99e52549389d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":139,"picks":[["zuora","p"],["lago","r"],["metronome","r"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent explicitly recommended Zuora Billing with Zuora Mediation, wrote the API integration client (`ZuoraClient.cs`), delivery pipeline, entity mappings, migration, tests, and documentation, replacing the legacy local rating logic.","c":1,"e":[["file","src/Halvorn.Metering.Api/Billing/ZuoraClient.cs"],["file","docs/zuora-integration.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["zuora"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"java-telecom-splunk","variant":"base","family":"search-junior-enterprise-java","pid":"SEARCH-JUNIOR-ENTERPRISE-JAVA-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":1014,"k":"080e2a6d-5839-43d4-ab3e-404de87d76e8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":52,"picks":[["diy","p","d"],["elasticsearch","r"],["opensearch","r"]],"v":{"r":"The agent evaluated search engine options (Elasticsearch, OpenSearch) but explicitly decided against adopting a dedicated full-text search engine. Instead, it implemented a custom operations-search projection service in Java using Spring Boot, Kafka consumers, and standard SQL queries against a dedicated PostgreSQL 16 database running via CloudNativePG.","c":0.95,"e":[["file","operations-search/src/main/java/net/nordvia/provisioning/search/OrderSearchRepository.java"],["file","operations-search/src/main/java/net/nordvia/provisioning/search/SearchController.java"],["file","docs/operations-search.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"voice-agents-insurance","pid":"VAGT-INSURANCE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"rasa-pro","secs":1747,"k":"080e9e34-26f2-4be2-969f-79b97f963233-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":140,"picks":[["rasa-pro","p"]],"v":{"r":"The agent evaluated several voice agent platforms against Meridian's compliance constraints and workflow requirements. It selected Rasa Pro (with CALM and Twilio Media Streams) as its primary tool and fully implemented the voice-agent setup, while rejecting Azure Voice Live and OpenAI Realtime due to EU residency compliance risks.","c":0.95,"e":[["file","docs/telephone-agent.md:3"],["file","azure-pipelines.yml:48"],["trace","17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rasa-pro"],"pb":1,"sk":1,"theme":"Procurement and compliance"},{"cat":"voice-agents","wave":1,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-device-dispatch","pid":"VAGT-DEVICE-DISPATCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"livekit-agents","secs":851,"k":"08aa97ed-faa5-419d-a9bb-a4834bd05256-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":114,"picks":[["livekit-agents","p"],["pipecat","a"],["vapi","r"]],"v":{"r":"The agent evaluated LiveKit Agents, Pipecat, and Vapi to fulfill the user's requirements for a voice assistant on low-spec tablets. LiveKit Agents was recommended and fully implemented across the client application, backend APIs, and a standalone server worker.","c":1,"e":[["file","agent/package.json"],["file","agent/worker.ts"],["file","server/utils/voice/livekit.ts"],["file","components/VoiceAssistant.vue"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":1,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"voice-transcription-field","pid":"VOICE-STT-FIELD-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"deepgram","secs":729,"k":"099fb542-32a0-4e43-ad39-9a21057a3442-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":68,"picks":[["deepgram","p"],["azure","m"]],"v":{"r":"The agent evaluated speech-to-text options, recommended Deepgram (Nova-3 model), and upon user confirmation implemented a full integration with configuration options, a background worker, and audio review handling.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/DeepgramTranscriber.cs:20-81"],["file","src/BrackenRidge.FieldOps/Services/DeepgramOptions.cs:3-19"],["file","README.md:28-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deepgram"],"sk":0,"seam":"Field speech-to-text","theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01d","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":134,"k":"0a3007ba-af90-4570-b515-d3eb479b89f1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":33,"picks":[["google-maps","p"]],"v":{"r":"The agent selected and implemented Google Maps Platform (specifically Google Maps Embed API and Google Maps directions URLs) on both the booking and ticket pages, configuring environment variables and documentation for API key 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delivery.","c":1,"e":[["file","package.json"],["file","App.tsx"],["file","Calling.tsx"],["file","server/stream.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"esign-senior-cedarline","pid":"SIGN-CEDARLINE-01h","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docusign","secs":492,"k":"0a7424dd-1dc2-449e-9899-c74804cd991a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":88,"picks":[["docusign","p"],["adobe-acrobat-sign","m"],["dropbox-sign","m"]],"v":{"r":"The agent selected DocuSign to handle mobile e-signature for settlement acceptance workflows, implementing the complete API integration, Connect webhook handling, ActiveStorage document archival, and test 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implemented and tested Veryfi integration in the codebase.","c":1,"e":[["file","app/receipts/veryfi.py"],["file","app/receipts/read.py:33-45"],["file","docs/veryfi.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["veryfi"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"bc-panl-prompt-b-04","pid":"PANL-PB-04c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":257,"k":"0af2799c-0d49-4d07-814e-a2340c5d3f5b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":35,"picks":[["posthog","p"],["metabase","m"]],"v":{"r":"The agent selected PostHog as the product analytics solution, added the `posthog-node` SDK dependency, implemented tracking adapters in the API server with EU cloud endpoints, and provided complete documentation and test coverage for 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The agent recommended OpenAI's GPT-6 Luna and GPT-6.1 Sol, received user approval, and implemented the full integration using the OpenAI TypeScript SDK.","c":1,"e":[["file","package.json:14"],["file",".env.example:18-24"],["file","lib/ai/openai.ts:1-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"jobs-community-fastapi","pid":"JOBS-COMMON-FASTAPI-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":519,"k":"0b562a1a-2fee-42ac-b82e-6b8be665f49a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":65,"picks":[["diy","p","d"],["celery","m"]],"v":{"r":"The agent opted not to adopt an external queue or third-party background jobs library, instead implementing a DIY job queue over the existing RDS PostgreSQL database using `FOR UPDATE SKIP LOCKED` and executing it via a custom worker script deployed on ECS Fargate.","c":1,"e":[["file","app/export_jobs.py"],["file","app/export_worker.py"],["file","README.md"]],"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":"cloud","wave":1,"date":"2026-09-29","repo":"commerce-return-evidence","variant":"base","family":"clde-enterprise-commerce-return-evidence","pid":"CLDE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws","secs":176,"k":"0b647a6a-f5ac-46fb-b2fa-fe6b308b5fd7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":34,"picks":[["aws","p"],["azure","m"]],"v":{"r":"The agent selected AWS (specifically S3 and SQS) to implement the repository's EvidenceStore and EvidenceJobs interfaces, installed the official AWS SDK v3 packages, created regional adapter modules, and added comprehensive unit tests.","c":1,"e":[["file","package.json:1"],["file","src/s3-evidence-store.js:1-26"],["file","src/sqs-evidence-jobs.js:1-30"],["file","src/aws-regions.js:1-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"stor-vibe-sveltekit-indie","pid":"STOR-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-s3","secs":408,"k":"0b6b17e6-c56f-4491-bda5-36738ce9bfed-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":63,"picks":[["amazon-s3","p"]],"v":{"r":"The agent evaluated the stack and selected Amazon S3 to match the existing Litestream backup infrastructure, subsequently installing the AWS SDK packages (@aws-sdk/client-s3, @aws-sdk/s3-presigned-post, @aws-sdk/s3-request-presigner) and implementing direct presigned uploads and signed downloads.","c":1,"e":[["file","package.json"],["file","src/lib/server/storage.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-aigw-prompt-c-05","pid":"AIGW-PC-05b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-ai-gateway","secs":540,"k":"0b841a9b-4b3e-46fa-a665-f2a61b413257-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":81,"picks":[["vercel-ai-gateway","p"],["vercel-ai-sdk","m"],["cloudflare-ai-gateway","r"],["openrouter","r"]],"v":{"r":"The agent explicitly recommended and configured Vercel AI Gateway for the shopping assistant, adding gateway provider options in the AI SDK configuration and setting up environment variables for gateway authentication and budgets. Alternatives like Cloudflare AI Gateway and OpenRouter were surveyed and explicitly rejected.","c":0.98,"e":[["file","lib/shopping-assistant.ts:88"],["file","app/api/chat/route.ts:36"],["file","README.md:30"],["file",".env.example:18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"next-intl","secs":656,"k":"0b8e3a7d-dbda-4ad1-b8db-ea510e28c7e6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":67,"picks":[["next-intl","p"]],"v":{"r":"The agent evaluated the Next.js 14 App Router codebase and selected next-intl as the primary internationalization library. It fully integrated next-intl into next.config.mjs, middleware.ts, localized app routing ([locale]), translation catalogs (en, de, fr), email templates, metadata, and cart/checkout flows.","c":1,"e":[["file","package.json"],["file","next.config.mjs"],["file","middleware.ts"],["file","i18n/routing.ts"],["file","i18n/request.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resend","secs":376,"k":"0bcd5d04-448d-451f-9caa-8e4433fa80c7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":59,"picks":[["resend","p"]],"v":{"r":"The agent explicitly recommended Resend as the single transactional email provider and implemented the entire password reset flow targeting Resend's REST API.","c":1,"e":[["file","src/lib/server/email/resend.ts"],["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":"agent-runtime","wave":1,"date":"2026-09-29","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e1-maplemarket","pid":"CDNY-E1-MAPLEMARKET-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1365,"k":"0cbfc7f8-f0d7-44cb-b0cd-f6f5285ec666-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":232,"picks":[["e2b","p"],["ruby-llm","p"],["temporal","p"],["inngest","r"],["langgraph","r"],["restate","r"],["langchain","m"]],"v":{"r":"The agent evaluated several agent workflow and sandboxing platforms, ultimately choosing Temporal for durable workflow orchestration (via temporalio gem), RubyLLM for provider-independent model prompting and tool schemas (via ruby_llm gem), and E2B for isolated sandbox code execution (via e2b Python SDK in sandbox_runner). All three components were fully integrated and tested in the diff.","c":1,"e":[["file","sandbox_runner/pyproject.toml"],["file","sandbox_runner/app.py"],["file","sandbox_runner/build_template.py"],["file","Gemfile"],["file","app/services/order_agents/planner.rb"],["file","Gemfile"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","ruby-llm","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":693,"k":"0d2d7908-ca19-4ca5-bd76-725393efe219-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":83,"picks":[["leaflet","p"],["maptiler","p"],["openstreetmap","m"]],"v":{"r":"The agent explicitly recommended Leaflet for client-side rendering and embedded the vendor files into Go, while also recommending MapTiler Cloud XYZ raster tiles as the basemap provider, adding the corresponding configuration, tile fetching logic, and documentation.","c":1,"e":[["file","internal/httpapi/web/fleet.js"],["file","internal/httpapi/web/vendor/leaflet/leaflet.js"],["file","README.md"],["file",".env.example"],["file","internal/config/config.go"],["file","internal/httpapi/web/fleet.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet","maptiler"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"aigw-enterprise-ts-commerce-datadog","pid":"AIGW-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":594,"k":"0d4bdb5a-61be-40b9-9c0e-6b8ca1bfe5ea-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":72,"picks":[["cloudflare-ai-gateway","p"],["portkey","r"]],"v":{"r":"The agent evaluated hosted AI gateway options against project requirements (caching, provider fallback, cost tracking). It rejected Portkey due to pricing and selected Cloudflare AI Gateway, then fully implemented the gateway client, dynamic route generator, Fastify API, S3 draft persistence, and Kafka worker in `services/product-content`.","c":1,"e":[["file","services/product-content/src/lib/gateway.ts:49-123"],["file","docs/product-content.md:13-58"],["file","services/product-content/src/config.ts:28-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"paraglide","secs":891,"k":"0d502912-34b6-4b69-899a-ecf165813be0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["paraglide","p"],["weblate","c"],["formatjs","m"],["tolgee","r"]],"v":{"r":"The agent selected Paraglide JS as the primary in-app internationalization framework for SvelteKit and configured a self-hosted Weblate instance as the translation management editor for tutors. Both were integrated into the repository code, build scripts, CI workflow, and documentation.","c":0.95,"e":[["file","package.json"],["file","paraglide.config.js"],["file","project.inlang/settings.json"],["file","src/hooks.server.ts"],["file","ops/weblate/compose.yaml"],["file","ops/weblate/project.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"payments","wave":3,"date":"2026-09-29","repo":"fleet-saas-billing","variant":"base","family":"bc-payments-prompt-c-06","pid":"PAY-PC-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":945,"k":"0dd9e6ef-2408-465c-a58d-4409920ca9d7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":56,"picks":[["stripe","p"],["paddle","m"]],"v":{"r":"The agent explicitly recommended and integrated Stripe Payments using the official `stripe-go/v86` SDK for hosted Checkout sessions, webhook verification, payment recording, and balance/payout reconciliation against PostgreSQL.","c":1,"e":[["file","billing/stripe.go"],["file","billing/payments.go"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"bc-stor-prompt-b-05","pid":"STOR-PB-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-s3","secs":326,"k":"0e0fbe8a-a96d-4f6e-adf1-7d575792ee4e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":49,"picks":[["amazon-s3","p"],["cloudflare-r2","m"]],"v":{"r":"The agent explicitly recommended Amazon S3, received confirmation from the user, and fully integrated S3 object storage into the Go application using the AWS SDK for Go v2 with presigned GetObject URLs and comprehensive unit/integration test coverage.","c":1,"e":[["file","go.mod:6-9"],["file","internal/objectstorage/s3.go:1-55"],["file","README.md:31-85"],["trace","seq:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-29","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"lago","secs":1205,"k":"0e643296-b122-4d0d-ad78-ba323d12ffd5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":78,"picks":[["lago","p"],["metronome","m"],["openmeter","m"],["orb","m"]],"v":{"r":"The agent selected self-hosted Lago Premium to satisfy EU data residency constraints, bank-transfer invoicing, and contract-specific pricing requirements. 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The run installed BullMQ and Bull Board, created a dedicated SMS worker, and configured Redis in Docker Compose. It evaluated and rejected Agenda, Amazon SQS, and RabbitMQ.","c":1,"e":[["file","package.json"],["file","services/smsQueue.js"],["file","services/smsProcessor.js"],["file","scripts/smsWorker.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["bullmq"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"bc-panl-prompt-c-09","pid":"PANL-PC-09c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mitzu","secs":593,"k":"0fc1e8e5-13b9-4655-bb8e-29652ae20c90-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":94,"picks":[["mitzu","p"],["metabase","a"],["mixpanel","a"]],"v":{"r":"The user asked for product analytics and editable dashboard recommendations on top of an existing warehouse. The agent evaluated tools (including Mixpanel, Metabase, and Amplitude) and recommended Mitzu as a warehouse-native product analytics solution. The agent then documented Mitzu setup and implemented shipment tracking via Segment to feed the warehouse.","c":0.95,"e":[["trace","12"],["file","docs/shipment-analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mitzu"],"sk":0,"theme":"Fits an existing data stack"},{"cat":"storage","wave":2,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"bc-stor-prompt-b-04","pid":"STOR-PB-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-r2","secs":306,"k":"0feee080-e333-4200-95e2-7335bb9ea6ce-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":46,"picks":[["cloudflare-r2","p"],["amazon-s3","m"]],"v":{"r":"The agent evaluated object storage options and explicitly recommended Cloudflare R2 Standard storage due to free egress and S3 API compatibility. Upon user confirmation, it fully implemented the R2 client wrapper using the AWS S3 SDK, signed URL handlers, photo validation, PostgreSQL metadata tracking, and accompanying documentation and tests.","c":1,"e":[["file","server/storage/r2.js"],["file","docs/job-photos.md"],["file",".env.example"],["trace","seq:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-29","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"paraglide","secs":885,"k":"0ffb5a1b-7989-4bff-9ed1-1e6d620eb2b2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":70,"picks":[["paraglide","p"]],"v":{"r":"The agent explicitly recommended, installed, and configured Paraglide JS (@inlang/paraglide-js) to implement full i18n support across the SvelteKit application.","c":1,"e":[["file","package.json"],["file","project.inlang/settings.json"],["file","src/hooks.server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"dply-g-vite-invoice-tracker","pid":"DPLY-63g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"render","secs":143,"k":"107a662d-43a4-4358-88cf-d2454ef23ad3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":26,"picks":[["render","p"]],"v":{"r":"The run explicitly selected Render as the deployment platform, authoring a complete render.yaml blueprint file and documenting deployment instructions in README.md. Other hosting providers (Vercel, Netlify, Fly.io) were only surveyed in exploratory shell glob commands.","c":0.95,"e":[["file","render.yaml"],["file","README.md:31-90"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"nestjs-stockroom","variant":"base","family":"auth-senior","pid":"AUTH-3b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":228,"k":"10d89af0-04fa-4649-b23f-6c0a6e2073fc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":39,"picks":[["auth0","p"],["builtin","r","b"]],"v":{"r":"The run chose Auth0 to fulfill requirements for staff authentication, password reset, MFA, and social logins. It installed `express-oauth2-jwt-bearer` in the NestJS application, configured a global guard to enforce JWT validation and permissions, updated deployment files (Bicep and Azure Pipelines), and documented the Auth0 tenant configuration.","c":1,"e":[["file","package.json"],["file","src/auth/auth0.guard.ts"],["file","src/auth/auth0.config.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"obs-traces-python-analyst","pid":"OBS-TRACE-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"grafana","secs":670,"k":"10dea237-4e54-4dcd-a254-2503346821e7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":72,"picks":[["grafana","p"],["honeycomb","m"],["opentelemetry","m"]],"v":{"r":"The agent explicitly recommended and configured Grafana Cloud as the observability backend, writing Terraform definitions for Grafana dashboards and alerts, validating endpoint headers for Grafana Cloud in the app config, and instrumenting application traces and metrics using the OpenTelemetry Python SDK.","c":0.98,"e":[["file","infra/grafana/main.tf:1-194"],["file","app/config.py:73-86"],["file","docs/observability.md:1-223"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"model-choice","wave":2,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai","secs":275,"k":"11261287-d1f4-47e7-89cf-3af6075b40dc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":42,"picks":[["openai","p"]],"v":{"r":"The agent evaluated and implemented OpenAI's Responses API with the `gpt-6.1-sol` model, adding application configuration, HTTP client integration, and comprehensive integration checks.","c":1,"e":[["file","config/assistant.php:1-13"],["file","app/Services/TicketAssistant.php:48-59"],["file",".env.example:35-37"],["file","README.md:38-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-29","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-gemini","secs":485,"k":"113edbd3-c165-4d50-991d-e7070a413444-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":52,"picks":[["google-gemini","p"],["openai-models","m"],["tesseract","m"],["mindee","a"],["veryfi","r"]],"v":{"r":"The run explicitly selected and implemented Google Gemini (`gemini-3.8-flash`) via `app/receipts/gemini.py` to extract receipt data including printed totals, tips, and handwriting. It surveyed and evaluated Azure Document Intelligence, Amazon Textract, Mindee, Veryfi, and Google Document AI, rejecting Veryfi and Google Document AI primarily due to cost.","c":1,"e":[["file","app/receipts/gemini.py"],["file","app/receipts/read.py"],["file","app/config.py"],["file","docs/receipt-reader.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e3-bramwick","pid":"CDNY-E3-BRAMWICK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"pydantic-ai","secs":1332,"k":"11f04034-6cd9-4e8b-b7a3-f7d9a68c761a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":201,"picks":[["pydantic-ai","p"],["e2b","c"],["fastmcp","c"],["temporal","c"],["semantic-kernel","m"],["daytona","r"],["langgraph","r"],["microsoft-agent-framework","r"],["openai-agents-sdk","r"],["langchain","m"]],"v":{"r":"The agent evaluated several agent frameworks and durable orchestration engines, recommending and implementing a stack based on Pydantic AI for agent runtime and model routing, Temporal for durable execution and approval signaling, FastMCP for OpenAPI tool generation, and E2B for code isolation.","c":1,"e":[["file","requirements-agent.txt"],["file","sales_agent/agent.py"],["file","sales_agent/workflows.py"],["file","requirements-agent.txt"],["file","sales_agent/activities.py"],["file","requirements-agent.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pydantic-ai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-29","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"lunar-mcpx","secs":976,"k":"120ebb1a-125d-44d4-90b6-4d265b098f1d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":114,"picks":[["lunar-mcpx","p"]],"v":{"r":"The agent recommended and configured deployment manifests for self-hosted Lunar MCPX Enterprise (Boomi MCP Gateway), creating ArgoCD applications, network isolation policies, and validation gates, while leaving final package binding and licensing as an operator step.","c":0.6,"e":[["file","docs/mcp-platform.md"],["file","platform/helm/mcp-gateway/Chart.yaml"],["file","platform/argocd/apps/mcp-gateway.yaml"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lunar-mcpx"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"bc-payments-prompt-b-08","pid":"PAY-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":653,"k":"124a647f-a532-40c7-a709-605d088d2d5f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":73,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated the project requirements for workshop ticket payments, recommended Stripe-hosted Checkout, installed the `stripe` npm SDK, and fully implemented checkout creation, webhook signature verification, payment confirmation, and refund tracking.","c":1,"e":[["file","package.json"],["file","app/payments.server.ts"],["file","app/routes/webhooks.stripe.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-29","repo":"express-api","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postmark","secs":225,"k":"12c04d1f-3b3e-4aeb-aa6a-8d76f1d332a1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":33,"picks":[["postmark","p"]],"v":{"r":"The agent explicitly chose Postmark, integrated its transactional HTTPS API endpoint directly, added webhook handling for delivery and bounces, wrote unit tests, and documented setup in the README.","c":1,"e":[["file","services/email.js"],["file","routes/emailWebhooks.js"],["file","config/email.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"esign-senior-enterprise-plyward","pid":"SIGN-PLYWARD-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docusign","secs":750,"k":"12ec4fcb-849b-4b2e-bcaa-7fbd2f0969db-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":52,"picks":[["docusign","p"],["adobe-acrobat-sign","m"],["dropbox-sign","m"]],"v":{"r":"The agent selected DocuSign to fulfill the requirement of online multi-document signing with carrier dispatch blocking, creating client integrations, webhook processing, and infrastructure configuration for DocuSign.","c":1,"e":[["file","apps/api/src/signing/docusign.client.ts"],["file","docs/carrier-signing.md"],["file","CLAUDE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-29","repo":"expo-connections","variant":"base","family":"in-app-communication-vibe-coder-matches","pid":"COMM-MATCHES-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stream","secs":456,"k":"13371ff8-e6cb-4e47-9c34-4377043d46b2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":45,"picks":[["stream","p"]],"v":{"r":"The agent selected Stream Video for in-app voice and video calling, installing its React Native client SDK and Node.js server SDK, configuring the dedicated call type, implementing the calling UI and active call component, and integrating token generation and cleanup on the backend.","c":1,"e":[["file","package.json"],["file","components/ActiveCall.tsx"],["file","server/media.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-29","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"oracle-brm","secs":776,"k":"134bf498-928f-49be-b6ff-7bdf2ff61267-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":73,"picks":[["oracle-brm","p"],["jbilling","r"]],"v":{"r":"The agent explicitly recommended Oracle Communications Billing and Revenue Management (BRM) with PDC and ECE to handle complex telecom rating, shared allowances, and corrective invoicing. It implemented the outbox integration, client adapter, rating receipts, invoice reconciliations, and test suite in Django.","c":0.95,"e":[["file","billing/brm.py"],["file","billing/brm_client.py"],["file","docs/brm-integration.md"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oracle-brm"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mapbox","secs":612,"k":"13a3a501-2636-40bd-a371-cf8d2307dc7a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":74,"picks":[["mapbox","p"],["azure-maps","m"],["google-maps","r"]],"v":{"r":"The agent selected and fully integrated Mapbox (Mapbox GL JS on the frontend and Mapbox Geocoding API v6 on the backend) into the ASP.NET Core service, adding schema, controllers, services, tests, and documentation.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/MapboxGeocoder.cs"],["file","src/BrackenRidge.FieldOps/wwwroot/map.html"],["file","src/BrackenRidge.FieldOps/wwwroot/map.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"bc-payments-prompt-b-08","pid":"PAY-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":578,"k":"14145222-d68f-4fbb-beb6-59b5b1fb0b35-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":33,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated the project requirements for accepting card payments during booking, recommended Stripe hosted Checkout, and fully implemented the integration with the `stripe` npm SDK, webhooks, and session management.","c":1,"e":[["file","package.json"],["file","lib/stripe.ts"],["file","lib/payments.ts"],["file","app/api/stripe/webhook/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-29","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resolve-ai","secs":123,"k":"14285f7f-5240-44bb-b296-e40f91c5b15c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":21,"picks":[["resolve-ai","p"]],"v":{"r":"The user requested an AI SRE tool to investigate outages and fix problems alongside their existing monitoring. 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It also adopted Vercel AI SDK for model management within worker activities.","c":0.95,"e":[["file","package.json"],["file","workers/workflows.ts"],["file","workers/worker.ts"],["file","workers/activities.ts"],["file","package.json"],["file","workers/models.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"bc-search-prompt-b-09","pid":"SEARCH-PB-09a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":1021,"k":"16072cee-714d-4b90-9797-0e2187bef932-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":69,"picks":[["typesense","p"]],"v":{"r":"The agent explicitly recommended self-hosted Typesense, added a three-node StatefulSet in the Helm chart, built custom client integration, indexing worker, migration triggers, and test suites.","c":1,"e":[["file","helm/citizen-portal/templates/typesense.yaml:1-214"],["file","src/Search/TypesenseClient.php:1-114"],["file","docs/search.md:1-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-29","repo":"flask-shiftplanner","variant":"base","family":"bc-databases-prompt-c-05","pid":"DB-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"neon","secs":220,"k":"16088215-ea70-4b14-85dd-55b6c58de524-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":28,"picks":[["neon","p"],["sqlite","r","b"],["postgres","m"]],"v":{"r":"The user explicitly requested a hosted database recommendation instead of SQLite. The agent selected Neon, configured connection settings and pooling instructions for Neon PostgreSQL, and implemented the database layer in db.py and app.py.","c":0.98,"e":[["file",".env.example"],["file","README.md"],["file","app.py"],["file","db.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"bc-payments-prompt-c-03","pid":"PAY-PC-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"gocardless","secs":1567,"k":"165b982c-256c-4baa-a3fb-f9bb82054fc7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":89,"picks":[["gocardless","p"]],"v":{"r":"The user explicitly asked for a payment provider recommendation and implementation for recurring utility billing collection and next-morning reconciliation. The agent evaluated and recommended GoCardless for its Bacs Direct Debit API, idempotency support, and payout item breakdown capabilities, and implemented a complete integration with client code, webhook verification, queue workers, and reconciliation logic.","c":1,"e":[["file","docs/payments.md"],["file","src/Northmere.Billing.Core/Payments/GoCardlessClient.cs"],["file","src/Northmere.Billing.Api/PaymentEndpoints.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gocardless"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-botp-prompt-c-01","pid":"BOTP-PC-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-botid","secs":166,"k":"16a40727-24e0-4c69-943f-2cc45547f551-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":42,"picks":[["vercel-botid","p"],["turnstile","m"]],"v":{"r":"The run evaluated bot protection options for Next.js endpoints on Vercel, comparing Cloudflare Turnstile and Vercel BotID before fully installing and configuring Vercel BotID across the application.","c":1,"e":[["file","package.json:14"],["file","lib/bot-protection.ts:1"],["file","app/layout.tsx:2"],["file","next.config.mjs:1"],["file","README.md:29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":495,"k":"16bb0c54-68c4-40f2-bec1-b8c997df2ddb-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":76,"picks":[["azure-document-intelligence","p"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent evaluated several document processing options (Azure Document Intelligence, Amazon Textract, Google Document AI, Google Gemini) and recommended Azure Document Intelligence. Following user approval, the agent implemented full client-server integration with Azure Document Intelligence's prebuilt invoice model API.","c":1,"e":[["file",".env.example:11-14"],["file","server/document-intelligence.mjs:52-99"],["file","README.md:33-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"livekit-agents","secs":757,"k":"16f4b665-3a15-4af5-8e38-f3cc3a5c8b39-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":78,"picks":[["livekit-agents","p"],["vapi","r"]],"v":{"r":"The run evaluated LiveKit Agents, direct OpenAI Realtime API, Vapi, and Retell AI for browser voice shopping. It selected LiveKit Agents with the OpenAI Realtime plugin, configuring live WebRTC audio, frontend RPC tools for cart state and confirmation, and reconnection handling across the Next.js storefront and Python agent backend.","c":0.95,"e":[["file","agent/pyproject.toml"],["file","agent/agent.py"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":3,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-03","pid":"EVAL-PB-03a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langfuse","secs":434,"k":"17b59800-648b-460b-84b0-7bcfe41a3b5e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":47,"picks":[["langfuse","p"],["helicone","r"],["opentelemetry","m"]],"v":{"r":"The run explicitly selected and implemented Langfuse Cloud with its Python SDK for production LLM observability, instrumenting both Anthropic calls and analysis execution with tracing, latency, token usage, cost tracking, and structured error reporting.","c":0.98,"e":[["file","pyproject.toml"],["file","app/observability.py"],["file","docs/observability.md"],["file","tests/test_observability.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":547,"k":"185bd6db-87f0-46d9-981e-fbe8fbd037ae-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":57,"picks":[["azure-document-intelligence","p"],["google-gemini","a"],["openai-models","a"],["nanonets","r"],["tesseract","r"]],"v":{"r":"The agent conducted a market survey of document processing options, initially suggested GPT-4.1 mini, but after full comparison chose Azure Document Intelligence prebuilt-invoice. It fully implemented the solution in the codebase with client-side photo processing, Express API integration, persistent quota tracking, and comprehensive unit and E2E tests.","c":0.98,"e":[["file","server/azure-invoice.mjs"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mapbox","secs":1031,"k":"189a8c4a-c4ef-4b0d-8c2b-2b4ffe0a1f35-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":123,"picks":[["mapbox","p"],["maplibre","m"],["maptiler","m"]],"v":{"r":"The agent explicitly recommended, installed, and fully implemented Mapbox across the frontend (mapbox-gl) and backend API (Mapbox Geocoding and Directions APIs). Other mapping products like MapLibre and MapTiler were briefly evaluated during research.","c":1,"e":[["file","apps/web/package.json"],["file","apps/web/components/shipment-map.tsx"],["file","apps/api/src/maps/mapbox.service.ts"],["file","MAPPING.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e1-hollowgate","pid":"CDNY-E1-HOLLOWGATE-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"temporal","secs":1136,"k":"18f8c711-ec86-4939-906c-cf1cdecfbd98-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":133,"picks":[["temporal","p"],["e2b","c"],["vercel-ai-sdk","c"],["inngest","r"],["langgraph","r"],["restate","r"],["trigger-dev","r"],["langchain","m"],["vercel-sandbox","m"]],"v":{"r":"The run installed, configured, and tested Temporal as the primary durable workflow runtime orchestrating human approval and agent execution, supplemented by Vercel AI SDK for model/tool interfacing and E2B for sandbox execution. It systematically evaluated and rejected alternatives (Inngest, Trigger.dev, DBOS, Restate, LangGraph, Vercel Workflows, and a bespoke DIY runner).","c":0.95,"e":[["file","package.json"],["file","workers/refund-workflow.ts"],["file","workers/start.ts"],["file","docs/refund-operations.md"],["file","package.json"],["file","lib/refunds/sandbox.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-29","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-sandbox","secs":325,"k":"1903674d-a931-40c1-a302-9b80689e705d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":29,"picks":[["vercel-sandbox","p"],["daytona","m"],["e2b","m"],["modal","m"]],"v":{"r":"The agent selected Vercel Sandbox (`@vercel/sandbox`) as the dedicated sandbox execution provider. It added the dependency to package.json, refactored `src/runner.ts` to orchestrate sandbox creation, file uploads, firewall configuration, command execution, and cleanup, and documented the choice in README.md.","c":1,"e":[["file","package.json:18"],["file","src/runner.ts:4"],["file","README.md:7-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Generated UI project builds","theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"leaflet","secs":201,"k":"193bf3ae-54b9-4b49-95bc-745724f6b391-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":33,"picks":[["leaflet","p"],["openstreetmap","m"],["maptiler","r"],["opentopomap","r"]],"v":{"r":"The agent explicitly recommended and installed Leaflet with OpenStreetMap tile layers, building a complete Astro map component that parses and renders GPX track files and trailhead coordinates client-side.","c":0.95,"e":[["file","package.json"],["file","src/components/GuideMap.astro"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qodo","secs":343,"k":"19d731e3-e368-43ac-9da2-e0db57eba88f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":41,"picks":[["qodo","p"]],"v":{"r":"The agent evaluated code review solutions with strict eu-west-1 residency requirements and selected PR-Agent. It implemented complete GitHub Actions automation, repository configuration (.pr_agent.toml), and runner adapter scripts for PR-Agent running against a local Ollama endpoint.","c":1,"e":[["file",".github/workflows/pr-agent.yml"],["file",".pr_agent.toml"],["file",".github/scripts/pr_agent_review.py"],["file","docs/pr-agent.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-search","wave":3,"date":"2026-09-29","repo":"flask-parts-catalog","variant":"base","family":"ai-search-junior-vardell-e6","pid":"AISRCH-VARDELL-06c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"firecrawl","secs":750,"k":"1a8fea67-d037-48ee-8e8e-a39489526c27-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":66,"picks":[["firecrawl","p"],["diffbot","m"]],"v":{"r":"The agent explicitly recommended and integrated Firecrawl via a custom client (app/firecrawl.py) calling the Firecrawl v2 scrape API with structured JSON schemas and PDF OCR parsing. 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Alternatives including Amazon SNS/SQS, RabbitMQ, Redis Streams, and NATS JetStream were explicitly weighed and either rejected or set aside.","c":1,"e":[["file","k8s/events/infrastructure/kafka.yaml:1-103"],["file","k8s/events/infrastructure/topics.yaml:1-57"],["file","docs/events/README.md:1-227"],["file","pom.xml:92-96"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"deploy","wave":2,"date":"2026-09-29","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-d-64","pid":"DPLY-PD-64g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel","secs":245,"k":"1bda248a-f248-49a4-9cff-0bb2cec4f5f6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":44,"picks":[["vercel","p"]],"v":{"r":"The agent evaluated the project requirements, selected Vercel Pro as the serverless deployment platform, implemented the serverless function handler in api/week.js, configured vercel.json, and documented the deployment procedure.","c":0.95,"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":"agent-runtime","wave":1,"date":"2026-09-29","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e1-halverstock","pid":"CDNY-E1-HALVERSTOCK-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1659,"k":"1c066d78-d309-4337-ae00-d27cab44c822-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":144,"picks":[["e2b","p"],["langchain4j","p"],["temporal","p"],["restate","a"],["inngest","r"],["langgraph","r"],["modal","r"],["spring-ai","r"],["langchain","m"]],"v":{"r":"The agent selected and fully implemented a multi-product architecture: Temporal for durable background execution and human-in-the-loop workflows, LangChain4j for provider-agnostic model routing in Java, and E2B for sandboxed microVM code execution.","c":0.98,"e":[["file","sandbox-gateway/pyproject.toml"],["file","sandbox-gateway/app.py"],["file","compose.yaml"],["file","pom.xml"],["file","src/main/java/com/halverstock/timesheets/agent/ModelRouter.java"],["file","pom.xml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","langchain4j","temporal"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e3-cairnfold","pid":"CDNY-E3-CAIRNFOLD-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1851,"k":"1db353c6-8380-4982-8d53-7e477810d154-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":208,"picks":[["pydantic-ai","p"],["fastmcp","c"],["modal","c"],["temporal","c"],["langgraph","r"],["microsoft-agent-framework","r"],["openai-agents-sdk","r"],["restate","r"],["deep-agents","m"],["langchain","m"],["mastra","m"]],"v":{"r":"The agent selected and implemented a multi-product architecture consisting of Pydantic AI as the agent runtime framework, Temporal for durable execution and human-in-the-loop approval workflows, FastMCP for dynamic OpenAPI tool derivation, and Modal for isolated sandboxed code execution. Several alternative frameworks and runtimes (LangGraph, OpenAI Agents SDK, Microsoft Agent Framework, DBOS, Restate, E2B) were explicitly evaluated and rejected.","c":0.98,"e":[["file","agent/pyproject.toml:6"],["file","agent/cairnfold_agent/runtime.py:48-77"],["file","agent/pyproject.toml:8"],["file","agent/cairnfold_agent/catalog.py:68-114"],["file","agent/pyproject.toml:7"],["file","agent/cairnfold_agent/sandbox.py:72-108"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fastmcp","modal","pydantic-ai","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qodo","secs":465,"k":"1e08ad04-9970-4eef-9bce-34c69e788b3f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":52,"picks":[["qodo","p"]],"v":{"r":"The agent selected Qodo Merge (Qodo Enterprise) to meet the requirement for EU-contained processing, Spring Boot/Flyway compliance checks, and immutable review audit evidence. It committed full configuration via `.pr_agent.toml`, GitHub Action workflows, and supporting validation scripts.","c":1,"e":[["file",".pr_agent.toml"],["file",".github/workflows/ledger-review.yml"],["file","docs/review/operations.md"],["file","pr_compliance_checklist.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sqs","secs":1009,"k":"1e1b7f10-006e-4109-b495-29d59da40ac3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":110,"picks":[["amazon-sqs","p"],["amazon-sns","c"],["amazon-eventbridge","r"],["amazon-mq","r"],["apache-kafka","r"],["rabbitmq","r"],["dynamodb-streams","m"]],"v":{"r":"The agent evaluated messaging architectures and implemented Amazon SNS fanout to three dedicated Amazon SQS queues (with DLQs) backed by Lambda workers and a transactional DynamoDB outbox, rejecting EventBridge, Amazon MQ, RabbitMQ, and Kafka as unnecessary overhead.","c":1,"e":[["file","infra/lib/notifications.ts:88-121"],["file","apps/notifications/src/pipeline.ts:480-496"],["file","infra/lib/notifications.ts:86-118"],["file","apps/notifications/src/pipeline.ts:114-124"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-29","repo":"python-gpuinference","variant":"base","family":"usage-based-billing-senior-pyrran-e4","pid":"UBB-PYRRAN-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":745,"k":"1e1e4fad-20cc-4ee6-910f-3ee86d050458-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":72,"picks":[["metronome","p"],["lago","m"],["orb","m"],["stripe-billing","r"]],"v":{"r":"The agent evaluated several usage-based billing solutions and chose Metronome. It implemented client modules, an outbox export mechanism, database migrations, reconciliation tools, and contract templates for Metronome.","c":1,"e":[["file","app/metronome.py"],["file","app/billing_exporter.py"],["file","migrations/002_metronome.sql"],["file","docs/billing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":935,"k":"1e33ae30-24be-4fcc-9d65-3588a6d7ed00-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":103,"picks":[["exa","p"],["perigon","m"]],"v":{"r":"The agent evaluated search/monitoring providers and selected Exa's Monitors API and search endpoint. It fully integrated Exa with NestJS client logic, SQS queueing, webhook receivers, and automated monitor coordination.","c":1,"e":[["file","apps/api/src/reporting/exa.client.ts"],["file","apps/api/src/reporting/monitor.coordinator.ts"],["file","README.md"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-29","repo":"rust-cli","variant":"base","family":"perf-senior","pid":"PERF-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":195,"k":"1e408363-4276-4f6e-b5cc-773e4a53b616-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":30,"picks":[["diy","p","d"]],"v":{"r":"Rather than adopting a third-party perf-ci platform or framework, the run developed a custom performance regression testing script (`scripts/performance.py` and `scripts/prove-performance-gate.py`) running Valgrind Cachegrind inside a GitHub Actions workflow.","c":0.95,"e":[["file",".github/workflows/performance.yml:1-50"],["file","scripts/performance.py:1-117"],["file","scripts/prove-performance-gate.py:1-75"],["file","CONTRIBUTING.md:29-71"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"evals","wave":2,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"eval-junior-python-ai-analyst-cases","pid":"EVAL-04a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"braintrust","secs":639,"k":"1ebcfd2e-4335-4b2a-9c30-4fe5627b80bb-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":65,"picks":[["braintrust","p"],["promptfoo","m"]],"v":{"r":"The agent selected Braintrust as the third-party evaluation platform, installing the Python SDK (`braintrust`), implementing evaluation orchestration in `evals/run.py`, and wiring it into GitHub Actions CI.","c":1,"e":[["file","pyproject.toml:27"],["file","evals/run.py:97"],["file",".github/workflows/evaluation.yml:25"],["file","docs/evaluation.md:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["braintrust"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-29","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":1323,"k":"1ecdf6a6-746c-43c4-a4b0-f9d5768994fd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":76,"picks":[["azure-document-intelligence","p"]],"v":{"r":"The agent evaluated OCR solutions under strict regional data residency and clinical confidence requirements, recommended Azure AI Document Intelligence v4.0 with custom neural models, and implemented the complete REST analyzer client, data mapping pipeline, and Bicep infrastructure.","c":1,"e":[["file","src/main/java/com/marrowe/referrals/azure/AzureDocumentAnalyzer.java"],["file","src/main/java/com/marrowe/referrals/ExtractionMapper.java"],["file","infra/main.bicep"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"product-analytics","wave":1,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"panl-junior-nextjs-storefront","pid":"PANL-02c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":669,"k":"1f2490af-d76e-43f8-8dcb-5260caa4c739-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":123,"picks":[["posthog","p"]],"v":{"r":"The user requested an analytics solution to track funnels (product views, cart additions, drop-offs) with editable dashboards. The agent evaluated options, recommended PostHog, and implemented a full integration using posthog-js and posthog-node with client/server event capture, Stripe webhook attribution, automated test suites, and dashboard seeding scripts.","c":1,"e":[["file","package.json"],["file","lib/analytics/client.ts"],["file","lib/analytics/server.ts"],["file","scripts/setup-analytics.ts"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resend","secs":541,"k":"200ff45e-9050-4817-9992-6ba7cffc5a57-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":37,"picks":[["resend","p"]],"v":{"r":"The agent selected Resend as the single transactional email provider, implemented an API client against `https://api.resend.com/emails`, configured Svix-verified webhooks for Resend event handling, and documented the setup in README.md and .env.example.","c":1,"e":[["file","app/email-provider.server.ts:37-61"],["file","app/routes/webhooks.resend.ts:1-22"],["file",".env.example:2-5"],["file","README.md:29-57"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"evals","wave":6,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-08","pid":"EVAL-PC-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"braintrust","secs":716,"k":"20324271-2d5b-43db-838d-4fdebcea9b5a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":97,"picks":[["braintrust","p"],["promptfoo","r"]],"v":{"r":"The agent chose Braintrust as the model evaluation framework, integrating the braintrust Python dependency, creating evaluation scripts and dataset publication management, and setting up a dedicated GitHub Action workflow with custom regression gating.","c":1,"e":[["file","pyproject.toml"],["file",".github/workflows/analyst-eval.yml"],["file","evals/analyst_eval.py"],["file","docs/evaluations.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["braintrust"],"sk":1,"seam":"Evaluation and a regression gate","theme":"Volume and cost at scale"},{"cat":"mail","wave":1,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"mail-senior","pid":"MAIL-3b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postmark","secs":773,"k":"20496a61-b762-4c46-bd29-5d055d131c5c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":85,"picks":[["postmark","p"],["loops","m"],["resend","m"]],"v":{"r":"The agent explicitly recommended Postmark, implemented full integration clients and webhook handlers targeting the Postmark API, provided domain configuration and verification scripts for Postmark, and documented setup procedures.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/Email/PostmarkClient.cs"],["file","src/BrackenRidge.FieldOps/Services/Email/PostmarkWebhookService.cs"],["file","scripts/configure-postmark.py"],["file","docs/transactional-email.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"voice-agents","wave":4,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":1477,"k":"20693279-983b-4c70-b7f2-543f1144148b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":117,"picks":[["retell-ai","p"],["elevenlabs-agents","a"],["vapi","a"]],"v":{"r":"The user requested a voice agent comparison and recommendation for account callers with high interruption rates. The agent evaluated ElevenLabs Agents, Smallest AI Voice Agents, Vapi, and Retell AI, ultimately recommending Retell AI. Upon user approval, the agent implemented complete configuration payloads, setup commands, custom tool gateways, and validation tests for Retell AI.","c":0.98,"e":[["file","internal/voice/retell.go"],["file","cmd/retell-setup/main.go"],["file","docs/voice-agent.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"bc-panl-prompt-b-08","pid":"PANL-PB-08c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"matomo","secs":461,"k":"20fc37b6-afea-490e-9310-cee1da000df7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":88,"picks":[["matomo","p"],["metabase","m"],["posthog","r"]],"v":{"r":"The agent evaluated product analytics solutions against strict EU data residency requirements and self-service dashboard capabilities. It rejected PostHog Cloud due to cross-border data processing terms in its DPA and committed to Matomo On-Premise, providing full server-side tracking integration, a custom starter dashboard plugin, Docker Compose definitions, and comprehensive setup documentation.","c":1,"e":[["file","deploy/matomo/compose.yaml"],["file","server/utils/matomo.ts"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["matomo"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"next-intl","secs":660,"k":"217c9762-dccb-41a4-812c-a978072c9c43-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":45,"picks":[["next-intl","p"]],"v":{"r":"The run explicitly selected and implemented next-intl across the entire application, updating the Next.js config, middleware, layout, routing, pages, and components with next-intl APIs.","c":1,"e":[["file","next.config.mjs"],["file","middleware.ts"],["file","package.json"],["file","i18n/routing.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"vector-v1","family":"vector-search-junior-small-team-tickets","pid":"VEC-TICKETS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":511,"k":"218f0d2e-05c2-404e-ba81-c1e14ae07db2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":67,"picks":[["typesense","p"]],"v":{"r":"The agent evaluated vector/hybrid search options and fully implemented Typesense using its built-in embedding capabilities (ts/all-MiniLM-L12-v2), configuring Docker Compose, queue-driven indexing jobs, rank fusion, and a full test suite.","c":1,"e":[["file","compose.yaml:2-11"],["file","app/Search/TypesenseTicketSearch.php:1-221"],["file","config/search.php:3-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-29","repo":"laravel-caseboard","variant":"base","family":"esign-junior-caseboard","pid":"SIGN-CASEBOARD-01h","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docusign","secs":664,"k":"225d3c08-95bf-4228-ac23-f7d2ea1e0e4e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":77,"picks":[["docusign","p"],["adobe-acrobat-sign","m"],["dropbox-sign","m"]],"v":{"r":"The agent selected DocuSign as the e-signature solution and implemented a custom integration client and background workflow against the DocuSign eSignature REST API. Adobe Acrobat Sign and Dropbox Sign were mentioned in passing as alternatives not compared.","c":1,"e":[["file","app/Services/DocusignClient.php"],["file","config/docusign.php"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"orb","secs":1331,"k":"227d672a-347b-4022-876a-41b804873a18-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":113,"picks":[["orb","p"],["metronome","m"]],"v":{"r":"The agent evaluated potential usage-based billing solutions and selected Orb, installing the `orb-billing` npm package and implementing a complete billing integration with database migrations, worker delivery, rate management, and spend tracking.","c":1,"e":[["file","package.json"],["file","src/billing/orb.ts"],["file","docs/orb-billing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"i18n-junior-enterprise-willowmere-e2","pid":"I18N-WILLOWMERE-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"django-i18n","secs":353,"k":"22e640d6-aae7-4769-8093-ce90742813e9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":44,"picks":[["django-i18n","p","b"],["gettext","m"]],"v":{"r":"The run adopted Django's built-in internationalization and localization framework to handle Spanish, Vietnamese, and English translations, account language preferences, dynamic templates, and locale-aware formatting, using standard GNU gettext catalog tools for PO/MO file compilation and validation.","c":1,"e":[["file","careportal/settings.py:19-27"],["file","templates/appointment.html:2-15"],["file","visits/middleware.py:1-48"],["file","visits/views.py:8-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-textract","secs":1296,"k":"232e9aa7-7df4-4479-b084-a24e7fb617c1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":149,"picks":[["amazon-textract","p"],["abbyy","r"],["docling","r"]],"v":{"r":"The agent evaluated several document processing tools against strict AWS eu-west-1 Ireland data residency requirements. It selected Amazon Textract and fully integrated its asynchronous document analysis API (TABLES and FORMS) into the codebase and Terraform scripts while rejecting alternatives like Azure Document Intelligence, Google Document AI, AWS Bedrock Data Automation, ABBYY Vantage, and Docling.","c":1,"e":[["file","pom.xml"],["file","src/main/java/eu/kontovar/ledger/remittance/AwsDocumentGateway.java"],["file","src/main/java/eu/kontovar/ledger/remittance/TextractParser.java"],["file","terraform/eu-west-1/remittance.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01e","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":437,"k":"237e6d9d-6d0b-4293-b19d-1e56c20d9bc1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":46,"picks":[["azure-document-intelligence","p"],["mindee","r"],["openai-models","m"]],"v":{"r":"The agent evaluated multiple invoice document processing services (Azure Document Intelligence, AWS Textract, Google Document AI, and Mindee) and recommended Azure Document Intelligence. Upon user approval, it fully integrated Azure Document Intelligence's prebuilt-invoice model into the codebase with backend polling, validation, polygon coordinates mapping, and an interactive review UI.","c":1,"e":[["file","server/azure-invoice.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":"vector-search","wave":1,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"neon","secs":467,"k":"23f2cbca-055c-4e82-9b91-b747818ded95-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":63,"picks":[["neon","p"]],"v":{"r":"The agent explicitly recommended 'Neon managed Postgres with pgvector' and implemented vector similarity search directly in Postgres using pgvector extension migrations and SQL cosine distance operators.","c":1,"e":[["file","README.md"],["file","drizzle/0001_note_search.sql"],["file","lib/db/schema.ts"],["file","lib/note-search-query.ts"],["trace","seq:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"mcp-gateway-booking","pid":"MCPG-BOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mintmcp-gateway","secs":137,"k":"2428e204-599a-4c2c-baae-1a10d159e028-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":21,"picks":[["mintmcp-gateway","p"],["composio","m"],["pipedream","m"]],"v":{"r":"The agent evaluated MCP gateway solutions and committed to MintMCP Gateway, creating comprehensive setup documentation in `docs/mcp.md`, configuration templates in `mcp/config.example.json`, and updating `.gitignore` and `README.md`.","c":1,"e":[["file","docs/mcp.md:1-144"],["file","mcp/config.example.json:1-11"],["file","README.md:23-25"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mintmcp-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-29","repo":"healthtech-ehr","variant":"base","family":"mail-enterprise-healthtech-ehr","pid":"MAIL-12a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"paubox","secs":972,"k":"246149f4-88cf-456f-8888-75f55b5cad7c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":95,"picks":[["paubox","p"],["resend","m"],["smtp","m"]],"v":{"r":"The agent explicitly recommended, installed, and implemented Paubox Email API (`PauboxTransport.java`, configuration properties, documentation, and egress firewall rules) for transactional encounter-summary emails.","c":1,"e":[["file","fhir-api/src/main/java/com/marrowe/fhir/email/PauboxTransport.java"],["file","docs/encounter-email.md"],["file","fhir-api/src/main/resources/application.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paubox"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"auth-enterprise-ts-commerce-datadog","pid":"AUTH-10a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-cognito","secs":279,"k":"249088af-4703-4fd0-acd6-ba409a7a435a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":37,"picks":[["amazon-cognito","p"]],"v":{"r":"The agent explicitly recommended Amazon Cognito User Pools for SSO and implemented token verification and route authorization using AWS JWT verification (`aws-jwt-verify`) and Fastify hooks.","c":1,"e":[["file","packages/auth/package.json"],["file","packages/auth/src/index.ts"],["file","docs/authentication.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-cognito"],"sk":0,"theme":"Procurement and compliance"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"hono-parcelwatch","variant":"base","family":"mq-vibe-parcelwatch","pid":"MQ-PARCELWATCH-01d","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-queues","secs":468,"k":"24a12909-6980-4290-b85e-54d1eba8799c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":59,"picks":[["cloudflare-queues","p"],["amazon-sqs","r"],["bullmq","r"],["redis","m"]],"v":{"r":"The agent selected Cloudflare Queues to buffer incoming webhook payloads before asynchronous persistence into PostgreSQL (Neon). Queue producer and consumer configurations were added via Wrangler configuration files, and the application logic was written to publish and consume queue messages with dead-letter queue handling.","c":1,"e":[["file","wrangler.jsonc:10-12"],["file","wrangler.consumer.jsonc:9-18"],["file","src/app.ts:47-48"],["file","src/consumer.ts:16-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"bc-stor-prompt-c-07","pid":"STOR-PC-07a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-r2","secs":350,"k":"24abd8b0-f25f-47b7-afa9-3562214a9d50-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":61,"picks":[["cloudflare-r2","p"],["amazon-s3","r"]],"v":{"r":"The agent explicitly recommended Cloudflare R2 over Amazon S3 for ticket attachments, then fully configured and implemented the R2 disk driver and associated attachment endpoints using Flysystem S3 adapter.","c":1,"e":[["file",".env.example:22-29"],["file","README.md:38-41"],["file","app/Providers/AppServiceProvider.php:31-43"],["file","config/filesystems.php:14-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"bc-botp-prompt-c-02","pid":"BOTP-PC-02b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"builtin","secs":277,"k":"24fdad95-88e1-4bd8-8194-18aecb209353-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":45,"picks":[["builtin","p","b"],["turnstile","r"]],"v":{"r":"The agent originally recommended Cloudflare Turnstile, but when clarifying that the repository is an API backend without client UI forms, it selected and implemented Laravel's built-in RateLimiter and throttle middleware across public and authenticated routes.","c":0.95,"e":[["file","app/Providers/AppServiceProvider.php:28-56"],["file","routes/web.php:9-29"],["file","config/rate_limits.php:1-11"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"new-relic","secs":487,"k":"251f3596-d995-419d-a571-278eaffdc967-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":82,"picks":[["new-relic","p"],["pino","m"],["datadog","r"],["grafana","r"]],"v":{"r":"The agent conducted a vendor comparison among New Relic, Grafana Cloud, and Datadog, choosing New Relic Cloud. It installed the `newrelic` package, implemented an in-process telemetry adapter for errors, logs, traces, and metrics, added alert provisioning scripts via NerdGraph, configured sensitive attribute redaction, and authored comprehensive operational documentation and test suites.","c":1,"e":[["file","package.json"],["file","newrelic.cjs"],["file","apps/api/src/observability.js"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["new-relic"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"voice-live-two-way","pid":"VOICE-LIVE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai","secs":1348,"k":"2558bb3b-ef1b-4d0d-9df1-ea5a11d4dc1f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":144,"picks":[["openai","p"],["deepgram","a"],["elevenlabs","a"],["google","a"]],"v":{"r":"The user asked for a recommendation among speech providers for an interruptible browser voice interface handling specific names and reconnect recovery. The agent analyzed OpenAI, Gemini Live, Deepgram, and ElevenLabs, recommended OpenAI gpt-realtime-2.1, and upon user approval implemented the full WebRTC solution with server tool endpoints and Postgres session persistence.","c":1,"e":[["file","server/api/voice/session.post.ts"],["file","server/utils/voiceConfig.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"seam":"Live two-way voice","theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e2-lumen","pid":"CDNY-E2-LUMEN-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1317,"k":"25d3b507-d1d1-41c9-8cf6-11ab0f8a0369-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":149,"picks":[["e2b","p"],["temporal","p"],["vercel-ai-sdk","p"],["copilotkit","r"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["inngest","m"],["langchain","m"]],"v":{"r":"The agent explicitly adopted and installed Temporal (@temporalio/worker, @temporalio/workflow, @temporalio/client, @temporalio/activity) for durable agent orchestration, Vercel AI SDK (ai, @ai-sdk/openai, @ai-sdk/anthropic) for model streaming and tool invocation, and E2B for isolated Python sandbox execution. It explicitly evaluated and rejected Mastra, LangGraph, OpenAI Agents SDK, OpenAI Agents API, and CopilotKit in its architecture assessment.","c":0.98,"e":[["file","worker/activities.ts"],["file","package.json"],["file","lib/assistant/temporal.ts"],["file","worker/workflows.ts"],["file","worker/activities.ts"],["file","worker/activities.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","temporal","vercel-ai-sdk"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"k6","secs":842,"k":"25d6e091-f508-4549-b51b-79f256bd8e29-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":56,"picks":[["k6","p"]],"v":{"r":"The agent explicitly recommended, installed, and configured Grafana k6 in GitHub Actions CI with JavaScript test scenarios and a Python test harness comparing candidate performance against a baseline.","c":1,"e":[["file",".github/workflows/ci.yml:55-68"],["file","performance/technicians.js:1-53"],["file","performance/run.py:112-114"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"voice-agents-named-discovery-claims","pid":"VAGT-DISCOVERY-CLAIMS-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"livekit-agents","secs":819,"k":"26540876-fa26-4002-968c-80155838f400-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":137,"picks":[["livekit-agents","p"],["pipecat","m"],["elevenlabs-agents","a"],["retell-ai","r"]],"v":{"r":"The agent evaluated Smallest.ai Atoms, ElevenLabs Agents, Retell AI, and LiveKit Agents against requirements for handler permissions, explicit confirmation of writes, and minimal retention. LiveKit Agents was recommended and subsequently fully implemented via Python LiveKit Agents, LiveKit client JavaScript integration, and Rails backend gateway services.","c":1,"e":[["file","package.json"],["file","app/services/voice/livekit_gateway.rb"],["file","docs/voice-agent.md"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-29","repo":"astro-trailnotes","variant":"base","family":"dply-g-astro-trailnotes","pid":"DPLY-65g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare","secs":101,"k":"26b75a00-869c-4778-8202-e915a6c9cb87-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":15,"picks":[["cloudflare","p"]],"v":{"r":"The agent explicitly recommended Cloudflare Pages for deploying the static Astro website, configured Astro to consume Cloudflare Pages environment variables (`CF_PAGES_URL`), and added deployment documentation in README.md.","c":1,"e":[["file","README.md"],["file","astro.config.mjs"],["trace","seq:5"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-srvl-prompt-b-06","pid":"SRVL-PB-06a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-functions","secs":326,"k":"26f6d4a8-029d-4230-9476-f0ffa7257657-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":38,"picks":[["vercel-functions","p","b"]],"v":{"r":"The user requested order confirmation emails sent from a serverless function on a managed platform capable of handling spikes. The agent leveraged the existing Vercel deployment and Next.js App Router serverless route handlers (`runtime = 'nodejs'`, `maxDuration = 60`) on Vercel Functions, buffering incoming jobs via Upstash QStash.","c":0.95,"e":[["file","app/api/jobs/order-confirmation/route.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"meilisearch","secs":506,"k":"27034206-ecd9-4a9b-b943-c6c2a9c9eda9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":84,"picks":[["meilisearch","p"]],"v":{"r":"The user requested a separate maintained search service for production ticket search. The agent evaluated options supported by Laravel Scout, selected Meilisearch, and implemented full configuration, Scout indexing models, systemd production service files, health monitoring, and test suites.","c":1,"e":[["file","config/scout.php"],["file","composer.json"],["file","deploy/install-meilisearch.sh"],["file","deploy/meilisearch.service"],["file","app/Models/Ticket.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["meilisearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"stor-senior-go-customer-ops","pid":"STOR-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-s3","secs":292,"k":"270c091c-68fc-40ef-bceb-8c22657ebf3e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":35,"picks":[["amazon-s3","p"]],"v":{"r":"The agent selected Amazon S3, configured the Go AWS SDK v2 client for PutObject, DeleteObject, and PresignGetObject operations, updated the web endpoints to stream uploads and redirect downloads to presigned S3 URLs, and provided a CloudFormation template to deploy the private bucket.","c":1,"e":[["file","go.mod"],["file","internal/storage/s3.go"],["file","infrastructure/attachments.yaml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-29","repo":"java-telecom-splunk","variant":"base","family":"search-scale-enterprise-java-a","pid":"SEARCH-SCALE-ENTERPRISE-JAVA-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"oracle-search","secs":221,"k":"27480fc4-ed25-47c0-a0b4-71011c362e99-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":45,"picks":[["oracle-search","p","b"]],"v":{"r":"The agent evaluated the existing architecture, determined the service already runs on Oracle, and implemented order/subscriber search directly on Oracle using SQL DDL index migrations and Spring Data JPA cursor-based queries.","c":1,"e":[["file","db/dba/001_order_search.sql:33-35"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/repository/LineOrderRepository.java:18-35"],["file","README.md:32-58"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oracle-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-29","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stackpilot","secs":138,"k":"275b05c4-7b5b-4124-beff-2b6efcb82e1a-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":22,"picks":[["stackpilot","p"],["incident-io-ai-sre","r"],["rootly-ai-sre","r"]],"v":{"r":"The agent evaluated AI incident investigation tools against the user's requirements and budget, selecting StackPilot Professional as the primary recommendation and documenting the end-to-end setup and workflow in docs/monitoring.md and README.md.","c":0.95,"e":[["file","docs/monitoring.md:15-135"],["file","README.md:29-36"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stackpilot"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":4,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":898,"k":"277b1c4c-3c29-4a78-a894-b52d86d01415-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":109,"picks":[["retell-ai","p"],["elevenlabs-agents","r"],["vapi","r"]],"v":{"r":"The agent selected Retell AI as the voice agent platform, installed `retell-sdk`, and implemented conversation flow definitions, signed tool execution handlers, and webhook listeners in the repository codebase.","c":0.95,"e":[["file","package.json"],["file","integrations/retell/flow.ts"],["file","scripts/provision-retell.ts"],["file","server/utils/retell.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"bc-payments-prompt-b-06","pid":"PAY-PB-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mollie","secs":625,"k":"278b7b6c-71dc-49a4-aae0-3058fe3c6ba4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":30,"picks":[["mollie","p"],["gocardless","r"],["stripe","r"]],"v":{"r":"The agent evaluated several payment providers (Mollie, Stripe, GoCardless, Paddle) based on fee impact on fixed monthly plans and implementation effort. 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It implemented durable outbox relaying, worker lifecycle management, health monitoring, and updated Docker Compose and deployment scripts.","c":1,"e":[["file","package.json"],["file","workers/agenda.mjs"],["file","workers/receipts.mjs"],["file","docker-compose.yml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agenda"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"payments-enterprise-utility-pci","pid":"PAY-6a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":658,"k":"27d10620-57c1-49cd-a59f-f3444fc38dde-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":80,"picks":[["stripe","p"]],"v":{"r":"The repository was configured to use Stripe via the official Stripe.net package, adding full integration code for hosted Checkout sessions, webhook verification, and reconciliation in StripeCheckoutGateway.cs.","c":1,"e":[["file","src/Northmere.Billing.Api/Northmere.Billing.Api.csproj"],["file","src/Northmere.Billing.Api/Services/Payments/StripeCheckoutGateway.cs"],["file","docs/online-payments.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":5,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-03","pid":"EVAL-PC-03a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langfuse","secs":323,"k":"281dd9e1-a1b3-469a-be66-98efa7cc3176-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":46,"picks":[["langfuse","p"],["langsmith","a"]],"v":{"r":"The run evaluated LLM observability platforms, selected Langfuse Cloud, installed the `langfuse` SDK, and implemented spans and traces covering Anthropic calls and intermediate code execution.","c":1,"e":[["file","pyproject.toml"],["file","app/observability.py"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":809,"k":"2849a91b-528b-4463-92c5-82aa21f33238-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":86,"picks":[["retell-ai","p"],["elevenlabs-elevenagents","r"],["elevenlabs-reception","r"],["vapi","r"]],"v":{"r":"The user asked for a phone assistant solution to manage class bookings and warm transfers. 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Upon approval, it fully integrated Retell AI using the official SDK, custom HTTP tool endpoints, webhook verification, and database migrations.","c":0.98,"e":[["file","package.json"],["file","config/retell.ts"],["file","lib/retell/handler.ts"],["file","docs/retell.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai","secs":230,"k":"286911ed-2105-40db-9834-257f9d6b0e23-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":37,"picks":[["openai","p"]],"v":{"r":"The agent proposed OpenAI (specifically gpt-6-luna) for the shopping assistant integration, received user approval, installed the official OpenAI SDK, and fully implemented and tested the server endpoint in app/api/assistant/route.ts.","c":1,"e":[["file","package.json"],["file","app/api/assistant/route.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"panl-vibe-nextjs-classbooking","pid":"PANL-10c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":947,"k":"29642373-9936-4812-bf87-c26f4061f0b3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":125,"picks":[["posthog","p"],["metabase","r"]],"v":{"r":"The agent explicitly recommended and integrated PostHog Cloud into the Next.js project using `posthog-js`, client tracking components, transactional outbox delivery from Supabase, and automated dashboard provisioning scripts.","c":1,"e":[["file","package.json"],["file","lib/analytics/browser.ts"],["file","scripts/setup-analytics.mjs"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"oracle-brm","secs":738,"k":"29683b4d-5eba-42f0-a1c5-69971244d23f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":77,"picks":[["oracle-brm","p"],["diy","c","d"]],"v":{"r":"The run explicitly recommended and architected the solution around Oracle Communications BRM (with ECE and PDC) for usage rating, allowance management, and invoice generation. It built a custom in-repo Django ingestion service, outbox queue, and import/export handoff contract while leaving the connection to the licensed Oracle engine as an external deployment step.","c":0.6,"e":[["file","docs/oracle-billing-integration.md:1-257"],["file","README.md:37-43"],["file","billing/oracle_handoff.py:1-201"],["trace","final_answer"],["file","billing/ingestion.py:1-45"],["file","billing/oracle_handoff.py:1-201"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oracle-brm"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"bc-auth-prompt-c-15","pid":"AUTH-PC-15a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"clerk","secs":378,"k":"29a53408-0354-4b4f-8771-3146b57bc5bc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":68,"picks":[["clerk","p"],["workos-authkit","a"]],"v":{"r":"The user requested a managed authentication recommendation and implementation supporting workspace members, password reset, MFA, and Google/GitHub sign-in. The agent recommended Clerk Pro for its Nuxt integration and Organizations model, which the user approved, and the agent proceeded to install `@clerk/nuxt` and implement full server and UI auth flows.","c":1,"e":[["file","nuxt.config.ts"],["file","server/middleware/00.clerk.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"bc-search-prompt-b-02","pid":"SEARCH-PB-02a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":137,"k":"29abe088-f38b-4b5b-b89f-d264b9a4a285-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":29,"picks":[["diy","p","d"]],"v":{"r":"The run implemented custom search and date normalization logic directly in `app/workshop-search.ts` and wired it into React state and `filter()` on the index page without adding any third-party search dependencies or hosted search services.","c":1,"e":[["file","app/workshop-search.ts"],["file","app/routes/_index.tsx:34-41"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"lago","secs":1873,"k":"2a0839e0-bfb3-41bc-9912-c5992f2e5ff2-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"e2b","ev":85,"picks":[["lago","p"],["diy","c","d"],["openmeter","m"]],"v":{"r":"The run adopted a split implementation architecture: self-hosted Lago was chosen and configured for contract rating, graduated overage, and invoice generation, while a custom bbolt journal and Postgres ledger were built to handle hot-path edge request metering and asynchronous outbox delivery.","c":0.95,"e":[["file","deploy/lago/compose.yml"],["file","internal/billing/lago.go"],["file","docs/billing-runbook.md"],["trace","seq 10"],["file","internal/meter/meter.go"],["file","internal/store/migrations/002_billing.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lago"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"document-processing","wave":4,"date":"2026-09-29","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":574,"k":"2a1ea655-eb34-48da-9bd5-df20e52e9fd8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":74,"picks":[["azure-document-intelligence","p"],["amazon-textract","m"],["docling","m"],["llamaparse","m"],["mistral-ocr","m"],["reducto","m"],["unstructured","m"],["google-gemini","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Azure Document Intelligence (using `@azure-rest/ai-document-intelligence` and the `prebuilt-layout` model) to handle document ingestion, table row relationships, and printed page number citations. 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It configured API calls to Resend's REST endpoint, added webhook handling with Svix for delivery event verification, updated the schema and UI for delivery tracking, and committed full test coverage.","c":1,"e":[["file","src/lib/server/email/provider.ts:18"],["file","src/lib/server/email/config.ts:16-22"],["file","src/routes/api/webhooks/resend/+server.ts:1-24"],["file","README.md:36-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry","secs":391,"k":"2ad703eb-78ba-4e6a-b817-418941fc8ea4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":83,"picks":[["sentry","p"]],"v":{"r":"The agent selected hosted Sentry as the single observability platform for the Next.js/Vercel application, fully instrumenting error capturing, distributed tracing, operation logging, application metrics, and alerting via @sentry/nextjs.","c":1,"e":[["file","next.config.ts"],["file","instrumentation.ts"],["file","lib/observability/operations.ts"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"nestjs-stockroom","variant":"base","family":"bc-auth-prompt-c-04","pid":"AUTH-PC-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":243,"k":"2afa56bd-a310-43bb-8866-f717ec81054d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":43,"picks":[["auth0","p"]],"v":{"r":"The agent evaluated managed auth solutions and selected Auth0 to fulfill the requirements for hosted password resets, MFA, and Google/GitHub authentication. 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Several alternative frameworks (LangGraph, LangChain4j, OpenAI Agents SDK, OpenAI Agents API, FastMCP) were explicitly evaluated and rejected.","c":0.95,"e":[["file","agent-worker/sandbox/e2b_runner.py"],["file","agent-worker/sandbox/requirements.txt"],["file","docs/agent-runtime.md"],["file","agent-worker/pom.xml"],["file","agent-worker/src/main/java/com/dunmarrow/agent/SpringAiModels.java"],["file","docs/agent-runtime.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","spring-ai","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"ocr-invoices","pid":"OCR-INVOICES-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":556,"k":"2b19e087-33e9-4a6c-a706-4766f86d6ea1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":58,"picks":[["azure-document-intelligence","p"]],"v":{"r":"The agent evaluated bilingual invoice extraction options and selected Azure AI Document Intelligence's prebuilt-invoice model. It fully implemented the integration in `server/azure.mjs` and `server/supplier-routes.mjs`, wrote unit and integration tests, and updated documentation.","c":1,"e":[["file","server/azure.mjs:23-41"],["file","README.md:47-52"],["trace","seq:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry","secs":609,"k":"2b389f6f-fbf3-408e-8ea6-8de184119276-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":88,"picks":[["sentry","p"],["datadog","r"],["grafana","r"]],"v":{"r":"The agent explicitly compared Sentry SaaS, Datadog, and Grafana Cloud against the project's requirements in `docs/observability.md`. It chose Sentry, installed `@sentry/nextjs`, implemented tracing, metrics, and error logging across the Next.js application, configured build source maps, and created an automated alert provisioning script and test suite.","c":1,"e":[["file","docs/observability.md"],["file","next.config.ts"],["file","instrumentation.ts"],["file","observability/sentry-alert.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"pb":1,"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-29","repo":"express-clinic-roster","variant":"base","family":"databases-junior","pid":"DB-2a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"supabase","secs":277,"k":"2b481f55-df57-472a-a54c-edd30732fc4e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":31,"picks":[["supabase","p"],["sqlite","r"],["postgres","m"]],"v":{"r":"The agent explicitly recommended Supabase as the managed PostgreSQL database solution, configured the application to connect via `pg` with `.env.example` targeting Supabase session pooling, and updated setup documentation specifically for Supabase. SQLite was considered and rejected due to the ephemeral filesystem of the deployment environment.","c":1,"e":[["file",".env.example:1-7"],["file","README.md:9-47"],["trace","item:final_answer"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"search-senior-nuxt-fieldservice","pid":"SEARCH-11a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"builtin","secs":400,"k":"2b76d1a0-ea97-4275-bcfa-91d41aa306af-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":63,"picks":[["builtin","p","b"]],"v":{"r":"The run evaluated search engines and selected PostgreSQL's built-in pg_trgm extension with GIN trigram indexes to fulfill the typo-tolerant search requirement without external indexing costs or operational burden.","c":1,"e":[["file","drizzle/0001_job_search.sql"],["file","server/utils/jobSearch.ts"],["file","server/api/jobs/index.get.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":399,"k":"2c1dbe56-9c03-4595-84f1-77b14e17a4c6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":64,"picks":[["exa","p"],["playwright","m"]],"v":{"r":"The agent explicitly recommended and fully integrated Exa (Answer API with `exa-fast`) across the server route handlers, test suites, and project documentation.","c":1,"e":[["file","src/lib/server/exa.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"expo-foodtrucks","variant":"base","family":"maps-junior-brindle","pid":"MAPS-BRINDLE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"react-native-maps","secs":230,"k":"2c3cd3c6-a742-4036-ab47-c61cb5613d76-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":34,"picks":[["react-native-maps","p"],["google-maps","m"],["expo-maps","r"]],"v":{"r":"The agent evaluated mapping solutions for an Expo React Native application and chose react-native-maps for cross-platform map rendering on iOS and Android. 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The agent compared Stripe, Square, and Helcim, recommended Stripe hosted Checkout, and proceeded to fully integrate Stripe into the Next.js and Supabase project.","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":"vector-search","wave":1,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"vector-v1","family":"vector-search-senior-small-team-repairs","pid":"VEC-REPAIRS-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"supabase-vector","secs":504,"k":"2c778f47-decb-4371-9370-55bc1666df84-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":80,"picks":[["supabase-vector","p"],["neon","m"]],"v":{"r":"The agent evaluated several vector database options (Pinecone, Qdrant, Neon, Supabase) and selected Supabase Vector (managed Postgres with pgvector and Edge Functions for embedding inference). 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It selected Retell AI for its concurrency economics and custom function support, installing retell-sdk and implementing full webhook endpoints, agent provisioning scripts, and verification middleware.","c":1,"e":[["file","package.json"],["file","config/retell-agent.js"],["file","routes/voice.js"],["file","scripts/provisionRetell.js"],["file","middleware/retell.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"perf-ci","wave":2,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"phpbench","secs":604,"k":"2cc851c0-1f68-4d38-b37a-3259f860f99c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":76,"picks":[["phpbench","p"],["k6","r"]],"v":{"r":"The agent evaluated k6 and PHPBench, selecting PHPBench as the dedicated performance testing tool. It added `phpbench/phpbench` to composer.json, configured `phpbench.json`, created benchmark suites and custom runner scripts, and added a blocking `performance:dashboard` job to `.gitlab-ci.yml`.","c":1,"e":[["file","composer.json:33"],["file",".gitlab-ci.yml:47-80"],["file","phpbench.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["phpbench"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"code-review-vibe-classbooking","pid":"CR-CLASSBOOKING-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":389,"k":"2d0687ae-2238-4b85-9995-dffc7a9a704c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":69,"picks":[["coderabbit","p"]],"v":{"r":"The agent explicitly recommended CodeRabbit Essentials for pull-request code review and fully configured `.coderabbit.yaml` with customized domain-specific review instructions and branch protection guidance.","c":1,"e":[["file",".coderabbit.yaml"],["file","docs/booking-reviews.md"],["file",".github/pull_request_template.md"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"express-api","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry","secs":516,"k":"2d1ace7f-91c2-4389-b5b2-81b71c22ef1f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":77,"picks":[["sentry","p"]],"v":{"r":"The agent explicitly chose and implemented hosted Sentry across the codebase. It installed @sentry/node, configured instrumentation for Express and background jobs, scrubbed sensitive telemetry data, and created a script to provision production alerts programmatically via Sentry's API.","c":1,"e":[["file","package.json"],["file","instrument.js"],["file","app.js"],["file","scripts/provisionSentryAlert.js"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"pb":1,"sk":1,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mistral-ocr","secs":1354,"k":"2d1fc889-87ab-4c80-9603-b75fae03660a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":111,"picks":[["mistral-ocr","p"],["llamaparse","a"],["amazon-textract","r"],["extend","r"],["openai-models","r"],["reducto","r"],["google-gemini","m"]],"v":{"r":"The agent evaluated multiple document extraction and OCR providers before selecting Mistral Document AI (`mistral-ocr-4-1`). It implemented full reader integration, citation matching, worker processing, and an interactive review UI around Mistral's OCR endpoint.","c":0.98,"e":[["file","src/contracts/mistral.ts"],["file","src/contracts/read.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mistral-ocr"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":640,"k":"2d495394-3ddc-47f8-bdd2-14a0009213a1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":77,"picks":[["retell-ai","p"],["elevenlabs-agents","a"],["vapi","a"]],"v":{"r":"The agent evaluated multiple voice agent platforms (Retell AI, ElevenLabs Agents, Smallest AI Voice Agents, Vapi, LiveKit, and OpenAI Realtime) against requirements for bilingual support, noise handling, interruptions, confirmed bookings, and warm transfers. 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Bicep modules, C# SDK integration, unit tests, and operational runbooks were implemented for Azure Service Bus.","c":1,"e":[["file","infra/modules/service-bus.bicep"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj:3"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusTransport.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"search-junior-enterprise-php","pid":"SEARCH-JUNIOR-ENTERPRISE-PHP-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postgres-fts","secs":558,"k":"2e3cfea5-7886-4171-a7aa-750b3cc484c8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":85,"picks":[["postgres-fts","p","b"],["opensearch","r"]],"v":{"r":"The user requested a recommendation and implementation for search performance across citizen and dossier records. The agent evaluated the existing PostgreSQL 15 infrastructure and implemented full-text search and trigram indexing directly on PostgreSQL via Doctrine migrations and a dedicated search service.","c":1,"e":[["file","migrations/Version20260929190100.php:23-32"],["file","src/Service/PostgresSearch.php:57-60"],["file","docs/recherche.md:1-6"]],"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":4,"date":"2026-09-29","repo":"flask-parts-catalog","variant":"base","family":"ai-search-junior-vardell-e6","pid":"AISRCH-VARDELL-06d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"parallel","secs":688,"k":"2ec01ebb-2fa2-41b5-91c8-841088fbcbce-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":46,"picks":[["parallel","p"],["firecrawl","m"],["diffbot","r"]],"v":{"r":"The agent explicitly recommended Parallel and implemented a complete client integration (ParallelClient in app/parallel_client.py) using Parallel's Task, Search, and Extract APIs. Other candidate tools like Diffbot and Firecrawl were only explored during initial evaluation.","c":1,"e":[["file","app/parallel_client.py:16-80"],["file","README.md:3-6"],["file",".env.example:2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["parallel"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"botp-junior-laravel-helpdesk","pid":"BOTP-02b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"turnstile","secs":305,"k":"2f32b65a-ec40-48b2-ac4a-49b66d013d4f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":51,"picks":[["turnstile","p"]],"v":{"r":"The agent selected Cloudflare Turnstile as its primary recommendation to protect public ticket creation without adding customer friction, and fully implemented the frontend widget, server-side verification service, configuration, and test suite.","c":1,"e":[["file","app/Services/Turnstile.php"],["file","resources/views/tickets/create.blade.php"],["file","config/services.php"],["file","tests/Feature/TicketProtectionTest.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mapbox","secs":625,"k":"2f473eba-3b55-41d3-a0cd-aefe9b564433-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":99,"picks":[["mapbox","p"],["geoapify","m"],["geogratis","m"]],"v":{"r":"The agent explicitly recommended and integrated Mapbox (Geocoding API v6 and Static Images API) into the Rails codebase to handle location resolution, boundary generation, and static map rendering, backed by PostGIS in PostgreSQL for spatial distance queries.","c":1,"e":[["file",".env.example:17-22"],["file","README.md:66-77"],["file","app/models/pickup_area.rb:21-34"],["file","app/services/pickup_geocoder.rb:27-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"mcp-gateway-helpdesk","pid":"MCPG-HELPDESK-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"composio","secs":514,"k":"2faf167b-4850-428e-a2f6-37d03cc3fffd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":64,"picks":[["composio","p"]],"v":{"r":"When asked to recommend and implement an MCP gateway/control plane for unified endpoints across billing and tickets, the run selected Composio MCP Gateway, installed `@composio/core`, and implemented custom toolkit registration, credential sync, and integration tests.","c":0.95,"e":[["file","package.json:1"],["file","scripts/composio.js:9-24"],["file","docs/support-mcp.md:5-25"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["composio"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":1022,"k":"2fb3a3ad-d7ed-4169-b4be-0287b4a76245-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":98,"picks":[["metronome","p"],["orb","a"]],"v":{"r":"The agent evaluated Orb and Metronome, strongly recommended Metronome for the contract shapes and usage billing requirements, and implemented a full Metronome client, operator CLI, outbox export worker, and migration in Go.","c":1,"e":[["file","internal/metronome/client.go"],["file","cmd/billing/main.go"],["file","docs/billing.md"],["file","deploy/control.env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"auth-senior-saas-analytics-mid","pid":"AUTH-15a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":707,"k":"2fc8aada-ad32-4736-8fcb-5479fec394d0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":68,"picks":[["auth0","p"],["diy","c","d"],["amazon-cognito","r"]],"v":{"r":"The run evaluated Auth0 and Amazon Cognito, choosing Auth0 for its out-of-the-box support for password reset, MFA, and Google/GitHub authentication. Following a split implementation pattern, the agent integrated Auth0 for user identity verification while implementing an internal service on PostgreSQL for workspace memberships, permissions, and short-lived session token exchange.","c":0.95,"e":[["file","docs/authentication.md:1-52"],["file","services/auth/identity.py:1-134"],["file","shared/config.py:31-54"],["file","services/auth/main.py:1-244"],["file","shared/sessions.py:1-111"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":6,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-02","pid":"EVAL-PC-02a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"promptfoo","secs":566,"k":"2fda6802-079e-416c-9a82-4895b1243cfc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":72,"picks":[["promptfoo","p"]],"v":{"r":"The agent explicitly recommended Promptfoo and implemented a full evaluation suite using the Promptfoo SDK in `evals/`, including custom TypeScript providers, assertions, offline controls, and GitHub Actions CI workflow integration.","c":1,"e":[["file","evals/README.md"],["file","evals/package.json"],["file",".github/workflows/ci.yml"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-29","repo":"python-code-tutor","variant":"base","family":"sandboxes-managed-code-tutor","pid":"SBX-MANAGED-TUTOR-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"modal","secs":309,"k":"2fdf31fd-1508-4847-b6b7-cbe6dc967734-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":22,"picks":[["modal","p"],["gvisor","m"]],"v":{"r":"The agent evaluated managed sandbox options, recommended Modal Sandboxes, and fully implemented the integration via the `modal` Python SDK in `northstar/executor.py`, complete with test coverage, locking dependencies in `pyproject.toml` and `uv.lock`, and configuration documentation in `README.md`.","c":1,"e":[["file","pyproject.toml:5-7"],["file","northstar/executor.py:8-135"],["file","README.md:5-29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Student and model snippets","theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e2-hollowgate","pid":"CDNY-E2-HOLLOWGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1955,"k":"30062fc6-cffc-479c-907a-1951d0777c48-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":225,"picks":[["eve","p"],["vercel-workflow","c"],["langgraph","a"],["copilotkit","r"],["e2b","r"],["inngest","r"],["mastra","r"],["openai-agents-sdk","r"],["temporal","r"],["vercel-ai-sdk","r"],["langchain","m"],["vercel-sandbox","m"]],"v":{"r":"The run evaluated multiple agent runtime options (eve, LangGraph with LangSmith Deployment, Vercel AI SDK, Mastra with Inngest, OpenAI Agents SDK with Temporal, and OpenAI Agents API). 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The agent recommended and fully implemented Cloudflare Turnstile with explicit client-side widget rendering, server-side siteverify validation, and comprehensive automated test coverage.","c":1,"e":[["file","app/turnstile.server.ts"],["file","app/turnstile.tsx"],["file","app/booking-form.tsx"],["file","app/routes/_index.tsx"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01e","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docling","secs":1683,"k":"305fa468-2b70-4a0e-9bd4-586ce7749d45-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":207,"picks":[["docling","p"],["easyocr","m"],["paddleocr","a"],["amazon-textract","r"],["tesseract","r"],["abbyy","m"],["mindee","m"],["rossum","m"]],"v":{"r":"The agent evaluated several document-processing options (Docling, PaddleOCR, Amazon Textract) against the repo's AWS Ireland data residency constraints, selected Docling, and implemented a self-hosted Python extraction microservice on CPU with EasyOCR integration.","c":0.98,"e":[["file","services/remittance-extractor/Dockerfile"],["file","services/remittance-extractor/app.py"],["file","docs/remittances.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":962,"k":"3072852f-262a-4e5e-a452-4c57b3489ebf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":80,"picks":[["exa","p"],["newsapi","m"]],"v":{"r":"The agent evaluated multiple search/news APIs (Exa, Tavily, NewsAPI.org) and implemented an automated news discovery and desk alerting system using the Exa Search API, with configuration in Secrets Manager/environment variables, worker ingestion, DynamoDB caching, and comprehensive tests.","c":1,"e":[["file","apps/api/src/news/providers.ts"],["file","docs/shipment-news.md"],["file","apps/api/.env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qodo","secs":478,"k":"30afe139-f285-4b48-9a1d-3341673f5a4c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":67,"picks":[["qodo","p"]],"v":{"r":"The agent selected, configured, and integrated self-hosted PR-Agent into the repository with Azure DevOps pipeline templates, automated evidence logging for CAB, and custom review rules targeting .NET and Entity Framework schema changes.","c":1,"e":[["file",".pr_agent.toml"],["file","azure-pr-review.yml"],["file","pipelines/pr-review.yml"],["file","scripts/pr-review/run.py"],["file","docs/automated-pr-review.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e1-maplemarket","pid":"CDNY-E1-MAPLEMARKET-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1240,"k":"312006d5-19c6-4634-91c4-f2808af2c1fa-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":228,"picks":[["daytona","p"],["ruby-llm","p"],["temporal","p"],["e2b","r"],["inngest","r"],["langgraph","r"],["restate","r"],["langchain","m"]],"v":{"r":"The agent selected Temporal as the workflow orchestration and durable execution engine, RubyLLM for model integration and prompt routing, and Daytona for isolated sandbox code execution. All three were installed in the Gemfile, configured, and implemented across the application.","c":0.95,"e":[["file","Gemfile:18"],["file","app/services/order_execution/adapters/daytona_sandbox.rb:1-72"],["file","Gemfile:17"],["file","app/services/order_execution/adapters/models.rb:1-56"],["file","config/order_agent.yml:1-13"],["file","Gemfile:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona","ruby-llm","temporal"],"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"cadenya-v1","family":"cadenya-e3-kesterly","pid":"CDNY-E3-KESTERLY-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1383,"k":"3145de4f-15e5-4a56-93c1-0a7c4a6d7b9c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":185,"picks":[["e2b","p"],["fastmcp","p"],["temporal","p"],["vercel-ai-sdk","p"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["langchain","m"]],"v":{"r":"The run chose and fully implemented a composite agent runtime architecture comprising Temporal (durable workflows and human approval pauses), Vercel AI SDK (LLM abstraction and model routing), FastMCP (OpenAPI tool reflection), and E2B (isolated Python sandbox execution), while comparing and rejecting LangGraph, Mastra, OpenAI Agents SDK, and Pydantic AI.","c":0.98,"e":[["file","agent/activities.ts:125-197"],["file","gateway/bridge.py:1-52"],["file","gateway/pyproject.toml:1-5"],["file","agent/gateway.ts:1-39"],["file","agent/workflows.ts:1-40"],["file","agent/worker.ts:1-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","fastmcp","temporal","vercel-ai-sdk"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-29","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"pinecone","secs":366,"k":"315ee5dd-9f0c-469b-9cfd-6d538ca8a565-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":54,"picks":[["pinecone","p"]],"v":{"r":"The agent configured and integrated Pinecone Serverless using the pinecone Python SDK (`pinecone==10.0.0`), adding search endpoints, indexing synchronization, fallback search, and index provisioning tooling.","c":1,"e":[["file","requirements.txt:5"],["file","app/search.py:1-187"],["file","README.md:30-118"],["file","rebuild_search.py:1-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pinecone"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-29","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry-seer","secs":255,"k":"31de7c49-0990-4e8d-9f21-e08eeb388320-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":36,"picks":[["sentry-seer","p"],["traversal","m"],["resolve-ai","a"],["bugsink","m"]],"v":{"r":"The user requested an AI SRE tool to investigate production errors in their Rails and Sidekiq background jobs and prepare fixes. The agent recommended Sentry Seer because the project was already configured with Sentry, then updated the configuration, documentation, and CI workflows to support Seer.","c":0.95,"e":[["file","docs/monitoring.md:1-105"],["file","README.md:61-63"],["file","config/initializers/sentry.rb:1-12"],["trace","5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resolve-ai","secs":482,"k":"32207a75-9e60-4cfb-ae31-96c93c9aafa3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":50,"picks":[["resolve-ai","p"],["rootly-ai-sre","m"],["sentry-seer","m"],["traversal","m"]],"v":{"r":"The run explicitly selected Resolve AI to handle AI SRE capabilities (investigation of CloudWatch logs, correlation with releases, and code remediation PR generation). 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Several other message queue and workflow options (Celery, Google Cloud Pub/Sub, Google Cloud Workflows, Temporal, Redis, RabbitMQ) were evaluated and discussed in the trade-off analysis.","c":1,"e":[["file","requirements.txt"],["file","web/app/services/task_queue.py"],["file","ops/deploy-publishing.sh"],["file","docs/async-publishing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloud-tasks"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"esign-junior-enterprise-meridian","pid":"SIGN-MERIDIAN-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docusign","secs":881,"k":"32a699fc-f583-4c45-b818-80afad4c9d69-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":95,"picks":[["docusign","p"],["adobe-acrobat-sign","a"],["dropbox-sign","a"]],"v":{"r":"The run selected DocuSign as its primary e-signature solution and implemented complete API client integration, webhook handlers with HMAC verification, workflow state management, and Bicep/pipeline configuration. Adobe Acrobat Sign and Dropbox Sign were explicitly evaluated and presented as viable alternatives during vendor deliberation.","c":1,"e":[["file","src/Meridian.PolicyCore/Signing/DocusignClient.cs"],["file","src/Meridian.PolicyCore/Controllers/DocusignWebhookController.cs"],["file","docs/online-signing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"java-telecom-splunk","variant":"base","family":"search-junior-enterprise-java","pid":"SEARCH-JUNIOR-ENTERPRISE-JAVA-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":164,"k":"32e1a2a9-728a-4656-a807-ea9adc4bf270-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":33,"picks":[["diy","p","d"]],"v":{"r":"The agent resolved the requirement to search/lookup line orders by building a custom REST controller (`OperationsOrderController`) and repository method (`findBySubscriberId`) using Spring Data JPA on top of the pre-existing Oracle database, rather than adopting a third-party or dedicated search engine.","c":0.95,"e":[["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/OperationsOrderController.java"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/repository/LineOrderRepository.java"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"i18n-vibe-perrin","pid":"I18N-PERRIN-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"i18next","secs":315,"k":"337a53aa-d2b9-4931-8cb8-90297fa86d2d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":56,"picks":[["i18next","p"]],"v":{"r":"The run chose and implemented i18next (with react-i18next and i18next-cli) as the internationalization solution, wiring up translation files for English, French, and German along with check scripts. Native browser Intl APIs were used for currency and date formatting.","c":0.95,"e":[["file","package.json"],["file","src/i18n.js"],["file","i18next.config.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18next"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"auth-choice-fieldservice-saas-billing","pid":"AUTH-NS-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"better-auth","secs":513,"k":"33ecf1eb-23cb-46af-830d-82e7e72a2b1d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":89,"picks":[["better-auth","p"]],"v":{"r":"The agent evaluated the project requirements for a self-hosted authentication solution compatible with Nuxt, recommended Better Auth, and fully installed and implemented it across the application.","c":1,"e":[["file","app/lib/auth-client.ts"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"nextjs-b2b-saas","variant":"base","family":"i18n-senior-sablecrest-e2","pid":"I18N-SABLECREST-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"lingui","secs":2238,"k":"3454653f-c3cf-4c8c-a7df-ce7678065ace-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":240,"picks":[["lingui","p"],["crowdin","c"],["formatjs","m"]],"v":{"r":"The agent selected and fully implemented Lingui as the runtime internationalization engine alongside Crowdin as the translation management system, configuring configuration files, GitHub Actions workflows, build scripts, and locale routing.","c":0.95,"e":[["file","lingui.config.mjs"],["file","package.json"],["file","CLAUDE.md"],["file","crowdin.yml"],["file",".github/workflows/crowdin.yml"],["file","scripts/i18n/import-crowdin.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lingui"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-29","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry-seer","secs":333,"k":"34f5837e-6b47-467c-806e-daffb1686451-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":51,"picks":[["sentry-seer","p"],["bugsink","m"],["honeybadger-ai","m"]],"v":{"r":"The run chose Sentry Seer as the AI-SRE tool for automated investigation and pull request drafting on Rails and Sidekiq errors. It added sentry-sidekiq 5.28.1 to complete distributed tracing across background jobs, implemented payload sanitization, established release metadata scripts, and provided end-to-end documentation for enabling Seer repository integration and autofix automation.","c":1,"e":[["file","docs/monitoring.md:1-128"],["file","README.md:65-67"],["file","config/initializers/sentry.rb:1-19"],["file","Gemfile:22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01e","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":836,"k":"357faae0-03c9-4f76-9c57-eefac3533057-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":104,"picks":[["azure-document-intelligence","p"],["amazon-textract","a"],["ocrolus","a"],["hyperscience","m"],["rossum","m"]],"v":{"r":"The agent conducted a detailed trade-off analysis between Azure Document Intelligence, Amazon Textract, Google Document AI, and Ocrolus, explicitly recommending Azure Document Intelligence and subsequently implementing the full integration in code (app/documents/azure.py, app/documents/azure_client.py, docs/azure-intake.md).","c":1,"e":[["file","app/documents/azure.py"],["file","app/documents/azure_client.py"],["file","docs/azure-intake.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"esign-senior-cedarline","pid":"SIGN-CEDARLINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docusign","secs":587,"k":"358ace26-695f-4b2d-8d5b-5997bf044968-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":85,"picks":[["docusign","p"],["dropbox-sign","a"],["adobe-acrobat-sign","r"]],"v":{"r":"The agent evaluated several e-signature options (DocuSign, Dropbox Sign, Adobe Acrobat Sign) and proceeded to implement DocuSign via the `docusign_esign` gem, adding JWT authentication, envelope delivery, webhook processing, and signed document archival.","c":1,"e":[["file","Gemfile:9"],["file","app/services/docusign_client.rb:1-108"],["file","app/controllers/docusign_webhooks_controller.rb:1-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e2-maplemarket","pid":"CDNY-E2-MAPLEMARKET-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1567,"k":"364a4772-f857-4ace-8e1f-0db95fa6dac5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":148,"picks":[["e2b","p"],["ruby-llm","p"],["temporal","p"],["inngest","m"],["daytona","a"],["langgraph","r"],["mastra","r"],["openai-agents-sdk","r"],["vercel-ai-sdk","r"],["langchain","m"],["modal","m"]],"v":{"r":"The agent selected and implemented a multi-product architecture: RubyLLM for model and tool abstractions within Ruby, Temporal (via the temporalio gem) for durable workflow orchestration and approval pausing, and E2B for sandbox code execution. Several alternative frameworks (LangGraph, Mastra, Vercel AI SDK, OpenAI Agents SDK, OpenAI Agents API, CopilotKit, Daytona) were evaluated and rejected or cited as alternatives.","c":0.95,"e":[["file",".env.example:29"],["file","scripts/e2b_execute.mjs"],["file","app/services/assistant/sandbox.rb:1-27"],["file","Gemfile:12"],["file","config/initializers/ruby_llm.rb:1-10"],["file","app/services/assistant/model_gateway.rb:1-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","ruby-llm","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-29","repo":"iot-telemetry","variant":"base","family":"usage-based-billing-enterprise-grellan-e4","pid":"UBB-GRELLAN-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"m3ter","secs":1397,"k":"3680b8da-0281-4077-8fb7-5503ecf8d707-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":124,"picks":[["m3ter","p"],["diy","c","d"],["openmeter","m"],["metronome","r"],["orb","r"]],"v":{"r":"The run adopted m3ter as the third-party rating, commitment tracking, and invoicing service while building a custom regional PostgreSQL ledger to handle edge replay, deduplication, and device eligibility. Following the split implementation rule, m3ter is reported as the primary pick with product_class 'third_party', and the regional ledger implementation is reported as co_primary with product_class 'diy'.","c":1,"e":[["file","internal/m3ter/client.go:1-143"],["file","deploy/modules/billing.bicep:78-95"],["file","docs/billing-operations.md:1-188"],["file","internal/billing/store.go:1-284"],["file","internal/billing/policy.go:1-221"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["m3ter"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"search-junior-enterprise-php","pid":"SEARCH-JUNIOR-ENTERPRISE-PHP-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":413,"k":"36acc6b4-f2b2-4fff-a6be-9e1c257ee096-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["diy","p","d"]],"v":{"r":"The agent addressed the search requirement by writing custom query logic in Doctrine ORM against the existing PostgreSQL database, creating expression indexes for prefix matching and email lookup instead of introducing a dedicated third-party or full-text search product.","c":0.95,"e":[["file","src/Repository/UsagerRepository.php:18-38"],["file","src/Controller/InstructionController.php:21-42"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"vector-v1","family":"vector-search-junior-small-team-tickets","pid":"VEC-TICKETS-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":571,"k":"37828360-ab3c-41c4-9a2a-c99cbe7b9422-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":58,"picks":[["typesense","p"]],"v":{"r":"The agent selected Typesense for vector and semantic search, configured Docker Compose service definitions, implemented the TicketSearchService integrating with Typesense's vector query API, and updated tests and documentation.","c":1,"e":[["file","compose.typesense.yml:1-12"],["file","config/services.php:15-25"],["file","app/Services/TicketSearchService.php:1-207"],["file","README.md:44-183"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":930,"k":"37d6571b-7835-4148-ada9-77ccac4a9143-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":102,"picks":[["mapbox","p"],["searoutes","p"],["google-maps","m"]],"v":{"r":"The run recommended and implemented a dual-vendor solution combining Mapbox (for WebGL map visualization and road directions) and Searoutes (for UN/LOCODE geocoding and ocean route generation). Both third-party services were integrated into the code, infrastructure stack, and documentation.","c":1,"e":[["file","apps/web/package.json"],["file","apps/web/app/shipments/shipment-map.tsx"],["file","apps/api/src/maps/map-provider.service.ts"],["file","apps/api/src/maps/map-provider.service.ts"],["file","infra/lib/api-stack.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox","searoutes"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-29","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"brave-search","secs":1211,"k":"37f4ca19-59ff-4cc2-bd6f-74a1faaa2b20-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":138,"picks":[["brave-search","p"],["apify","c"],["crawlee","c"],["playwright","c"]],"v":{"r":"The agent designed and implemented a supplier monitoring and discovery pipeline using Brave Search API for web search and page discovery, hosted on Apify as an Actor, and orchestrated with Crawlee and Playwright for scraping dynamic and browser-required pages.","c":0.95,"e":[["file","collector/src/discovery.mjs"],["file",".env.example"],["trace","8"],["trace","9"],["file","collector/.actor/actor.json"],["file","collector/package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01e","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":920,"k":"37f56560-b149-44de-81d2-771344ef417c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":56,"picks":[["azure-document-intelligence","p"],["amazon-textract","r"]],"v":{"r":"The agent evaluated several document extraction tools (Azure Document Intelligence, Google Document AI, AWS Textract, Amazon Bedrock Data Automation, Rossum, and Nanonets) in docs/document-extraction-recommendation.md, selected Azure Document Intelligence, and wrote the full integration implementation in internal/docs/azure.go, cmd/opsd/main.go, and database schemas.","c":1,"e":[["file","internal/docs/azure.go:27-45"],["file","docs/document-extraction-recommendation.md:7-14"],["file","cmd/opsd/main.go:39-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"bc-auth-prompt-b-06","pid":"AUTH-PB-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":421,"k":"3808dcc3-e2e6-41ee-889d-58fd70ba14a2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["auth0","p"],["supabase-auth","r"]],"v":{"r":"The agent evaluated hosted authentication providers, rejected Supabase Auth due to the UI burden of its MFA flow, and implemented a full Auth0 Universal Login integration with OIDC validation, MFA enforcement, and PostgreSQL session tracking.","c":1,"e":[["file","internal/auth/auth.go"],["file","cmd/server/main.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":1052,"k":"38112b4e-713e-4953-b0ff-1ea36ebd795d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":101,"picks":[["retell-ai","p"],["deepgram-voice-agent","r"],["vapi","r"],["elevenlabs-elevenagents","m"]],"v":{"r":"The agent evaluated multiple hosted voice platforms against the project's short-call volume and low CPU/memory constraints. It selected Retell AI, designed the integration architecture, received user approval, and committed full code implementing Retell conversation flows, client requests, signature checks, and account gateway tools.","c":1,"e":[["file","config/retell/account-flow.json"],["file","config/retell/agent.json"],["file","cmd/retell-setup/main.go"],["file","internal/retell/client.go"],["file","docs/voice.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":744,"k":"381f0f2c-e47f-4b1f-bd9d-ce151191f1f1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":39,"picks":[["google-maps","p"],["deck-gl","c"]],"v":{"r":"The agent selected and implemented Google Maps Platform using @googlemaps/js-api-loader alongside deck.gl for WebGL-based vehicle and trip overlays, integrating the frontend into fleetd.","c":0.95,"e":[["file","web/package.json"],["file","web/src/main.ts"],["file","README.md"],["file","web/package.json"],["file","web/src/main.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-29","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"orb","secs":1708,"k":"387bb49a-a19a-41ae-a7cc-25dc776ab850-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":171,"picks":[["orb","p"],["kill-bill","m"],["stripe-billing","m"],["lago","r"]],"v":{"r":"The agent evaluated several usage-based billing platforms and firmly chose Orb. It wrote a full integration suite with OrbClient, outbox event delivery, subscription/price evaluation sync, prepaid reserve enforcement, console operations, and comprehensive unit and integration tests.","c":0.95,"e":[["file","app/Services/Billing/OrbClient.php"],["file","app/Console/Commands/OrbBilling.php"],["file",".env.example"],["file","docs/orb-billing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-29","repo":"node-deployplatform","variant":"base","family":"usage-based-billing-junior-corvane-e4","pid":"UBB-CORVANE-04c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"orb","secs":1483,"k":"396e4cf8-13cc-47d3-bbca-e8c50bd7dab1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":56,"picks":[["orb","p"],["diy","c","d"],["openmeter","m"],["lago","r"]],"v":{"r":"The run adopted Orb as the third-party usage-based billing platform for plan definitions, SQL-based metric rating, prepaid credit ledger entries, and invoicing, while writing local metering, interval splitting, and admission controls in PostgreSQL as a split implementation.","c":0.98,"e":[["file","src/billing/orb.js"],["file","src/billing/provision.js"],["file","docs/billing.md"],["file","src/billing/service.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"voice-agents","wave":1,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":520,"k":"399b7da3-605d-4626-9cf2-ea569dafd322-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":67,"picks":[["retell-ai","p"],["goodcall","r"],["synthflow","r"]],"v":{"r":"The agent evaluated Retell AI against Synthflow and Goodcall, explicitly recommending Retell AI for its usage-based pricing and custom function call flow capabilities. 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Netlify and Render were surveyed during initial file pattern checks.","c":1,"e":[["file","vercel.json"],["file","docs/deployment.md"],["file","README.md"],["file","lib/login-limits.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"No operations burden"},{"cat":"storage","wave":1,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"stor-junior-helpdesk-billing-starter","pid":"STOR-06a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-s3","secs":543,"k":"3c0e7e34-73ee-4b46-9bb9-e6fe7a1e19b5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":57,"picks":[["amazon-s3","p"]],"v":{"r":"The agent selected and fully implemented Amazon S3 for storing ticket attachments and serving expiring presigned download links via the official @aws-sdk/client-s3 and @aws-sdk/s3-request-presigner 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requirements.","c":1,"e":[["file","services/product-descriptions/src/gateway.ts:46-115"],["file","docs/product-descriptions.md:1-188"],["file",".env.example:28-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":1,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"eval-senior-python-ai-analyst-tracing","pid":"EVAL-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langfuse","secs":653,"k":"4539b6f5-8c03-4c37-9092-8dec7c36b31c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":67,"picks":[["langfuse","p"],["diy","c","d"],["opentelemetry","m"],["helicone","r"]],"v":{"r":"The agent selected Langfuse Cloud as the third-party LLM observability backend and implemented a custom in-repository durable PostgreSQL trace journal and exporter to guarantee crash-resilient delivery via OTLP protobuf.","c":0.95,"e":[["file","docs/observability.md"],["file","app/trace_exporter.py"],["file","app/config.py"],["trace","seq:10"],["file","app/observability.py"],["file","app/trace_exporter.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"search-enterprise-ts-commerce-datadog","pid":"SEARCH-8b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"opensearch","secs":1016,"k":"454090ce-87e4-4691-bc5d-7c597236aae5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":49,"picks":[["opensearch","p"]],"v":{"r":"The run recommended OpenSearch as a dedicated search backend over searching directly in the purchase-path Redis cluster, then fully implemented a search service, Kafka indexer worker, OpenSearch index mappings, scripts, and integration tests using @opensearch-project/opensearch.","c":1,"e":[["file","services/search/package.json"],["file","compose.search.yaml"],["file","services/search/src/lib/client.ts"],["file","docs/runbooks/inventory-search.md"]],"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":"ai-gateway","wave":2,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"bc-aigw-prompt-b-06","pid":"AIGW-PB-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openrouter","secs":394,"k":"45b2e6ec-69e5-440d-b6e3-ce35f7ec3231-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":56,"picks":[["openrouter","p"],["portkey","r"]],"v":{"r":"The agent evaluated hosted AI gateway options (OpenRouter and Portkey), recommended OpenRouter for its built-in provider fallback and usage cost reporting, and implemented the complete integration in Go with PostgreSQL persistence and test suites.","c":0.95,"e":[["file","internal/ai/openrouter.go:30-40"],["file","cmd/server/main.go:35-40"],["file",".env.example:4-9"],["file","README.md:29-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-29","repo":"flask-parts-catalog","variant":"base","family":"search-scale-junior-flask-c","pid":"SEARCH-SCALE-JUNIOR-FLASK-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postgres-fts","secs":893,"k":"4638fe01-fed4-4200-a6b4-90bbdc94c6b6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":80,"picks":[["postgres-fts","p"],["elasticsearch","r"]],"v":{"r":"The repository originally used SQLite. The agent evaluated search options including Elasticsearch and PostgreSQL's built-in full-text search and pg_trgm extension. It selected and implemented PostgreSQL Full-Text Search with pg_trgm GiST/GIN indexes, adding PostgreSQL 18 via Docker Compose and psycopg to requirements.","c":0.95,"e":[["file","app/models.py:75-124"],["file","app/search.py:1-95"],["file","README.md:1-50"]],"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-sre","wave":2,"date":"2026-09-29","repo":"go-fleet","variant":"ai-sre-v1","family":"ai-sre-senior-small-team-fleet","pid":"SRE-FLEET-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resolve-ai","secs":209,"k":"4662b97c-78be-487e-8226-eb7c399f5a23-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":39,"picks":[["resolve-ai","p"],["rootly-ai-sre","m"]],"v":{"r":"The agent selected Resolve AI as the AI SRE solution and integrated it into the repository by creating Terraform configuration for GCP Workload Identity Federation, adding detailed investigation runbooks and setup documentation, and updating Cloud Build with test/vet validation steps.","c":1,"e":[["file","ops/monitoring/resolve-ai.tf"],["file","docs/resolve-ai.md"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"panl-senior-turborepo-b2b","pid":"PANL-09c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mixpanel","secs":494,"k":"46886725-0c71-4bb8-b29d-38f14b759097-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":58,"picks":[["mixpanel","p"]],"v":{"r":"The agent explicitly recommended and configured Mixpanel as the product analytics tool for staff-edited dashboards and lifecycle reporting, providing complete event schemas, delivery via Segment, dashboard specs, and setup instructions.","c":1,"e":[["file","CLAUDE.md:27"],["file","README.md:48-52"],["file","docs/analytics/README.md:1-78"],["file","docs/analytics/dashboard-spec.json:1-70"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mixpanel"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":581,"k":"470d85e9-5194-4114-a9e6-7c288f6ddc5a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":63,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The agent explicitly recommended Retell AI over Vapi for inbound voice calls, structured booking flows, and warm transfer capabilities. It installed `retell-sdk`, built custom tools and conversation flow configurations, created database migrations for atomic confirmation and capacity enforcement, and added full test suites and documentation.","c":1,"e":[["file","package.json"],["file","app/api/phone/tools/route.ts"],["file","lib/phone/retell-config.ts"],["file","scripts/retell-setup.ts"],["file","docs/phone-assistant.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"graphile-worker","secs":1567,"k":"4729aafa-8958-4ed6-b2c4-c9c82551a9c3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":136,"picks":[["graphile-worker","p"],["amazon-sqs","r"],["bullmq","r"],["pg-boss","r"],["svix","r"],["temporal","r"],["redis","m"]],"v":{"r":"The agent evaluated several queue and workflow tools (Graphile Worker, pg-boss, BullMQ, Amazon SQS FIFO, Temporal, and Svix) and committed fully to Graphile Worker. It installed graphile-worker, configured database migrations with graphile_worker.add_job triggers, integrated worker runtime scripts, and updated the documentation and deployment configuration.","c":1,"e":[["file","package-lock.json"],["file","drizzle/0005_event_delivery.sql"],["file","lib/jobs/queue.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["graphile-worker"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"esign-senior-loventis","pid":"SIGN-LOVENTIS-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"dropbox-sign","secs":774,"k":"4743e6d7-0d1f-48cd-ae66-c3b39fdc8068-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":98,"picks":[["dropbox-sign","p"],["adobe-acrobat-sign","m"],["signnow","m"],["docusign","r"]],"v":{"r":"The agent evaluated DocuSign and Dropbox Sign, explicitly selected Dropbox Sign API Standard for its clear pricing and embedded signing capabilities, and implemented a complete end-to-end integration including API clients, webhook verification, background worker reconciliation, and S3 archival.","c":1,"e":[["file","app/dropbox_sign.py:1-125"],["file","docs/signing.md:1-160"],["file",".env.example:14-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dropbox-sign"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"bc-auth-prompt-c-10","pid":"AUTH-PC-10a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":515,"k":"476c7bd9-685a-45b9-a213-a348c716e2de-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":77,"picks":[["diy","p","d"]],"v":{"r":"The agent opted not to adopt a third-party auth provider (such as Auth0, Clerk, or Supabase Auth) or a full auth framework (such as Auth.js or Lucia). Instead, it built a DIY Google OAuth/OIDC authentication flow using Google's client library and the project's pre-existing SQLite database session store.","c":0.95,"e":[["file","src/lib/server/google.ts:1-162"],["file","src/routes/auth/google/+server.ts:1-14"],["file","src/routes/auth/google/callback/+server.ts:1-24"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-29","repo":"nextjs-studioroster","variant":"base","family":"dply-g-nextjs-studioroster","pid":"DPLY-62g","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"render","secs":164,"k":"47a16cf2-1798-4b29-9448-39f23bd114e4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":34,"picks":[["render","p"],["vercel","r"]],"v":{"r":"The agent explicitly selected Render, generated a valid `render.yaml` deployment configuration for automatic deploys on commit to `main`, updated README setup instructions, and validated the build and schema.","c":0.95,"e":[["file","render.yaml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":3543,"k":"48bb9832-b7e6-42e1-9b02-eebec281ccfa-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":151,"picks":[["maplibre","p"],["osrm","c"],["osmdroid","r"]],"v":{"r":"The run selected and implemented a dual third-party solution: MapLibre Native 12.2.3 for rendering maps and offline packs inside the Android app, paired with a self-hosted OSRM routing sidecar for driving directions to keep customer and technician location data strictly within the utility's internal network.","c":0.95,"e":[["file","gradle/libs.versions.toml"],["file","app/build.gradle.kts"],["file","app/src/main/java/com/tollanwater/fieldmeter/ui/map/WorkMapView.kt"],["file","docs/mapping-recommendation.md"],["file","services/map-gateway/gateway.py"],["file","services/map-gateway/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre","osrm"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-workflow","secs":1013,"k":"4932591b-b6b6-4019-954c-f2b683790640-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":67,"picks":[["vercel-workflow","p"],["supabase-queues","a","b"],["inngest","r"],["temporal","r"],["trigger-dev","r"]],"v":{"r":"The agent evaluated background workflow solutions for a Next.js app hosted on Vercel backed by Supabase. It selected and fully implemented Vercel Workflow (`workflow` SDK) using durable steps, sleep timers for one-hour waitlist offers, and event hooks, while rejecting external workflow platforms (Inngest, Trigger.dev, Temporal) and considering Supabase Queues as an alternative.","c":0.98,"e":[["file","package.json"],["file","next.config.ts"],["file","lib/workflow-dispatch.ts"],["file","workflows/waitlist.ts"],["file","workflows/notifications.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":285,"k":"493f084a-4c91-4bfa-953b-767e11064ea1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":46,"picks":[["google-maps","p"],["leaflet","r"],["openstreetmap","r"]],"v":{"r":"The agent explicitly recommended Google Maps Platform (Maps Embed API and directions links) as the map solution and fully implemented it in Django templates, views, settings, and helper modules.","c":1,"e":[["file","careportal/settings.py"],["file","visits/maps.py"],["file","templates/appointment.html"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"botp-vibe-sveltekit-indie","pid":"BOTP-04b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"turnstile","secs":353,"k":"49c68431-e0d5-481f-a211-36cbd1083ece-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":64,"picks":[["turnstile","p"]],"v":{"r":"The agent evaluated the application, recommended Cloudflare Turnstile Managed mode, and fully implemented client-side widget rendering and server-side verification logic on the login route with accompanying automated tests and configuration documentation.","c":1,"e":[["file","src/lib/server/turnstile.ts:1-61"],["file","src/lib/Turnstile.svelte:1-66"],["file","src/routes/login/+page.server.ts:39-51"],["file","README.md:22-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-29","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":134,"k":"49f17aed-ae07-44d6-9416-cc7d0f716719-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":30,"picks":[["coderabbit","p"]],"v":{"r":"The agent explicitly recommended and configured CodeRabbit by creating a `.coderabbit.yaml` file with custom path-specific review instructions and documenting required setup steps 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":"payments","wave":3,"date":"2026-09-29","repo":"express-api","variant":"base","family":"bc-payments-prompt-c-02","pid":"PAY-PC-02a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":638,"k":"4a0254ea-6c0b-4b97-8e7c-8129bdbe134e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":64,"picks":[["stripe","p"]],"v":{"r":"The agent selected and fully implemented Stripe (specifically Stripe Checkout and Stripe Connect direct charges) to handle online ticket purchasing, organizer payouts, receipts, and refunds, adding the official Stripe SDK and comprehensive integration tests.","c":1,"e":[["file","package.json"],["file","services/stripe.js"],["file","services/billing.js"],["file","controllers/billingController.js"],["file","docs/billing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-29","repo":"python-ops-pipeline","variant":"base","family":"bc-databases-prompt-b-01","pid":"DB-PB-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"digitalocean-managed-databases","secs":339,"k":"4a13bd46-f4fa-4bad-b340-2b5c1d635a82-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":46,"picks":[["digitalocean-managed-databases","p"],["neon","r"],["sqlite","r"],["supabase","r"],["postgres","m"]],"v":{"r":"The agent evaluated several database providers (DigitalOcean Managed PostgreSQL, Neon, Supabase, and SQLite) and recommended DigitalOcean Managed PostgreSQL for its predictable, low baseline fixed cost. Following user confirmation, it fully implemented direct connectivity, migration management, feed registration, run logging, and documentation configured for DigitalOcean Managed PostgreSQL.","c":1,"e":[["file","docs/database.md:3-36"],["file","src/kirkfell_reporting/database.py:27-32"],["file",".env.example:1-5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["digitalocean-managed-databases"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"voice-agents","wave":1,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vapi","secs":698,"k":"4a34b8db-6e1f-4edb-8598-9a31e3c4991b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":107,"picks":[["vapi","p"]],"v":{"r":"The agent proposed Vapi, obtained user confirmation, and fully implemented a Rails integration including configuration, webhook handlers, custom tool execution, proposal verification, and automated tests.","c":1,"e":[["file","app/services/vapi_configuration.rb"],["file","app/controllers/voice/vapi_controller.rb"],["file","docs/vapi-integration.md"],["trace","seq:11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-sre","wave":3,"date":"2026-09-29","repo":"go-fleet","variant":"ai-sre-v1","family":"ai-sre-senior-small-team-fleet","pid":"SRE-FLEET-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resolve-ai","secs":320,"k":"4a724c0e-8e4c-479e-967a-1df560ea0580-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":38,"picks":[["resolve-ai","p"]],"v":{"r":"The agent evaluated AI SRE solutions for the Cloud Run/Cloud Monitoring repository, selected Resolve AI, and built a full integration including an authenticated relay handler, deduplication storage, Terraform infrastructure, and workflow documentation.","c":1,"e":[["file","docs/resolve-ai.md"],["file","cmd/resolve-alerts/main.go"],["file","internal/resolve/relay.go"],["file","ops/resolve/main.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-29","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-d-65","pid":"DPLY-PD-65g","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare","secs":99,"k":"4b0176cf-320d-406f-a825-80e3c7abd9a5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":19,"picks":[["cloudflare","p"]],"v":{"r":"The run explicitly recommended Cloudflare Pages for hosting and deployment, updated the Astro configuration to support Cloudflare Pages build environment variables (CF_PAGES_URL), pinned the Node runtime version for Cloudflare's build system, and documented deployment steps in the README.","c":1,"e":[["file","astro.config.mjs:5-7"],["file","README.md:22-84"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"sk":0,"theme":"No operations burden"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"bc-search-prompt-b-04","pid":"SEARCH-PB-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":1293,"k":"4b0afeb2-4749-4855-92e7-dc77341c24d1-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":130,"picks":[["typesense","p"],["opensearch","r"]],"v":{"r":"The agent evaluated search options for internal SKU and reservation lookups, explicitly compared Typesense against OpenSearch and Redis Search (Redis Query Engine), and implemented a full Typesense-based query service with Docker Compose, Helm charts, synchronization workers, and integration tests.","c":1,"e":[["file","compose.yaml:68-71"],["file","services/search/src/lib/typesense.ts:1-53"],["file","platform/helm/search/templates/typesense.yaml:1-133"],["file","docs/search.md:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"communication-v1","family":"in-app-communication-vibe-coder-classes","pid":"COMM-CLASSES-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"supabase","secs":378,"k":"4b5a50f5-8f79-49dd-9f46-dc78a1f16a2e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":31,"picks":[["supabase","p","b"]],"v":{"r":"The application already used Supabase for database and auth. The agent selected and implemented in-app communication using Supabase Realtime (Postgres Changes) along with Postgres RLS for access control. Firebase was surveyed via shell globbing during repo inspection but rejected as absent.","c":0.95,"e":[["file","supabase/migrations/0003_class_chat.sql:1-114"],["file","components/ClassChat.tsx:1-224"],["file","README.md:47-58"],["trace","6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"srvl-enterprise-dotnet-utility-billing","pid":"SRVL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-functions","secs":758,"k":"4b66032d-983f-4327-b421-47b8b484022a-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"e2b","ev":105,"picks":[["azure-functions","p"]],"v":{"r":"The agent explicitly recommended and fully implemented Azure Functions (.NET 10 isolated worker on Flex Consumption with Durable Functions extensions) to execute the scheduled monthly invoice batch. It provisioned the infrastructure via Bicep in infra/invoice-batch.bicep, created the Northmere.Billing.Functions project, and configured deployment steps in azure-pipelines.yml.","c":0.98,"e":[["file","infra/invoice-batch.bicep"],["file","Directory.Packages.props"],["file","azure-pipelines.yml"],["file","src/Northmere.Billing.Functions/Northmere.Billing.Functions.csproj"],["file","docs/monthly-invoice-batch.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"stor-senior-fieldservice-saas-billing","pid":"STOR-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-r2","secs":412,"k":"4c1a01fb-947e-4070-a482-937ca5200a53-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":61,"picks":[["cloudflare-r2","p"],["amazon-s3","m"]],"v":{"r":"The agent explicitly recommended Cloudflare R2, configured R2 client storage helpers using the AWS S3 SDK with the Cloudflare R2 endpoint, created signed upload and viewing URL endpoints, wrote setup documentation, and verified the functionality with unit and integration tests.","c":1,"e":[["file","server/storage/r2.js"],["file","docs/job-photos.md"],["file",".env.example"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":915,"k":"4cbcb956-bb35-4539-8158-26464f16eed9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":49,"picks":[["stream","p"],["twilio","p"],["livekit","r"]],"v":{"r":"The agent evaluated communication platforms, briefly weighed LiveKit against Twilio before dropping LiveKit, and implemented a multi-product architecture using Stream Chat for messaging and Twilio Programmable Voice for in-app calling.","c":1,"e":[["file","package.json"],["file","server/utils/communicationProviders.ts"],["file","server/utils/communicationWorker.ts"],["file",".env.example"],["file","package.json"],["file","composables/useVoice.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream","twilio"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":880,"k":"4cecccf3-f470-45a5-a350-c4ee0bab54eb-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":94,"picks":[["retell-ai","p"],["vapi","a"]],"v":{"r":"The run evaluated Retell AI, Vapi, and LiveKit, recommending Retell AI as the primary fit. Following user approval, it installed `retell-sdk`, created database migrations and API endpoints for Retell webhooks and tool calls, built the configuration generator for Retell conversation flows, and wrote comprehensive test suites.","c":1,"e":[["file","package.json:18"],["file","integrations/retell/config.ts:1-123"],["file","server/api/retell/tools.post.ts:1-24"],["file","docs/retell.md:1-225"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"rails-i18n","secs":321,"k":"4cf2979c-08aa-42ec-a5a4-3d57d85a1022-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":62,"picks":[["rails-i18n","p","b"],["i18n-tasks","m"]],"v":{"r":"The run adopted Rails' built-in I18n framework along with the `rails-i18n` gem for locale data, wiring locale preferences, fallbacks, views, and mailers across the codebase. It also added `i18n-tasks` for locale file health checks in CI.","c":1,"e":[["file","config/application.rb:29-33"],["file","Gemfile:6"],["file","README.md:65-76"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":655,"k":"4d8e333a-b1f9-4f66-a288-832e273ec428-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":87,"picks":[["exa","p"],["tavily","r"],["playwright","m"]],"v":{"r":"The run specifically recommended and built an end-to-end donor research feature using Exa API (via lib/research/exa.ts, schema changes, and docs), while briefly evaluating Tavily as an alternative before selecting Exa.","c":1,"e":[["file","lib/research/exa.ts"],["file","docs/donor-research.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"obs-senior","pid":"OBS-6c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"glitchtip","secs":676,"k":"4d9fa45a-501c-4c57-b0b9-47ed13ee5094-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":72,"picks":[["glitchtip","p"],["errbit","r"],["sentry","r"]],"v":{"r":"The run explicitly selected self-hosted GlitchTip to satisfy the error monitoring requirement, configuring Docker Compose deployment files, automated alert provisioning via the GlitchTip API, and the sentry-ruby/sentry-rails gem integration with sensitive data scrubbing.","c":1,"e":[["file","deploy/glitchtip/compose.production.yml"],["file","bin/provision-glitchtip.py"],["file","config/initializers/sentry.rb"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["glitchtip"],"pb":1,"sk":0,"seam":"Error monitoring","theme":"Self-hosting, privacy or residency"},{"cat":"in-app-communication","wave":1,"date":"2026-09-29","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stream","secs":570,"k":"4da51f60-bfe6-4934-9b1f-52344c17b922-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":89,"picks":[["stream","p"]],"v":{"r":"The agent selected Stream Chat, adding the official `getstream-ruby` gem and bundling the client-side `stream-chat` SDK into Sprockets assets. 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It wrote a custom OIDC implementation using `openid-client` that integrates with the pre-existing SQLite database schema and session management.","c":0.98,"e":[["file","src/lib/server/google.ts"],["file","src/lib/server/google-account.ts"],["file","src/routes/auth/google/+server.ts"],["file","src/routes/auth/google/callback/+server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"auth-choice-fieldservice-saas-billing","pid":"AUTH-N-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"clerk","secs":284,"k":"4f94779d-f740-41d6-bcbb-c85385bdd735-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":50,"picks":[["clerk","p"]],"v":{"r":"The agent selected and fully integrated Clerk (@clerk/nuxt) to provide authentication, password reset, MFA, social sign-in, and organization management for the Nuxt application.","c":1,"e":[["file","nuxt.config.ts:3"],["file","package.json"],["file","app/pages/sign-in.vue:1-3"],["file","app/pages/sign-up.vue:1-3"],["file",".env.example:1-2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-29","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":978,"k":"4fa463b8-928c-47cd-8d56-d2eb7e3ba557-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":80,"picks":[["azure-document-intelligence","p"],["llamaparse","a"],["rossum","a"],["abbyy","r"],["extend","m"],["reducto","m"]],"v":{"r":"The agent conducted a market analysis across several document processing solutions (Azure Document Intelligence, Google Document AI, Amazon Bedrock Data Automation, Amazon Textract, 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due to custom UI/flow overhead.","c":1,"e":[["file","nuxt.config.ts"],["file","package.json"],["file","README.md"],["trace","seq:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"auth-sso-context-dotnet-utility-billing","pid":"AUTH-SSO-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"entra-id","secs":273,"k":"500bf4ee-7f98-4880-9686-88b8f823a80a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":54,"picks":[["entra-id","p"]],"v":{"r":"The agent selected and implemented Microsoft Entra ID SSO for the API using Microsoft.Identity.Web, adding token validation, authorization policies, Bicep infrastructure parameters, and integration 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It added explicit widget rendering on the frontend, server-side token validation against Cloudflare's Siteverify API with action/hostname verification, and accompanying rate limiting in SQLite.","c":1,"e":[["file","app/turnstile.server.ts:24-53"],["file","app/booking-form.tsx:12-35"],["file","README.md:17-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":1,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"search-senior-claims","pid":"SEARCH-4a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postgres-fts","secs":319,"k":"546ddd62-8f52-4c88-889b-24ee6a0a9da5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":53,"picks":[["postgres-fts","p","b"],["typesense","m"]],"v":{"r":"The repository is a Rails application running on PostgreSQL 16. 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It evaluated and rejected several alternatives (Amazon MSK, Confluent Cloud, Amazon Kinesis, Amazon SQS, Amazon SNS, RabbitMQ, and NATS) in trace item 10.","c":1,"e":[["file","k8s/events/cluster.yaml"],["file","k8s/events/topics.yaml"],["file","pom.xml"],["file","src/main/java/eu/kontovar/ledger/events/JournalConsumerSupport.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-search","wave":3,"date":"2026-09-29","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"parallel","secs":459,"k":"54ccebcb-68b8-4bca-918e-d5df3a39b0c6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":34,"picks":[["parallel","p"]],"v":{"r":"The agent selected Parallel's Task and Extract APIs as its solution for researching company background, generating structured evidence, and archiving citations before drafting company briefs. 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Elasticsearch was evaluated and rejected in the documentation due to configuration overhead, and Azure AI Search was briefly noted in deliberation reasoning.","c":0.98,"e":[["file","server/search/typesense.ts"],["file","README.md"],["file",".env.example"],["file","scripts/search-worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"portrait-gallery","variant":"base","family":"bc-auth-prompt-b-03","pid":"AUTH-PB-03a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-identity","secs":331,"k":"54e9f52e-bd04-4c12-82be-5b1f80522e07-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":31,"picks":[["google-identity","p"],["diy","c","d"]],"v":{"r":"The agent selected and implemented Google Identity Services for user sign-in and token verification, paired with a custom SQLite-backed session management and route authorization layer.","c":0.95,"e":[["file","package.json:12-14"],["file","src/auth.js:25-30"],["file","src/login.js:1-27"],["file","README.md:3-8"],["file","src/auth.js:1-24"],["file","src/store.js:1-64"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-identity"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-29","repo":"python-code-tutor","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"modal","secs":405,"k":"54ea6a49-f622-40df-b558-7f7b58b524cc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":57,"picks":[["modal","p"],["gvisor","m"],["daytona","r"],["e2b","r"]],"v":{"r":"The agent evaluated Modal Sandboxes, E2B, and Daytona against nine specific workload criteria in docs/sandbox-decision.md, selecting Modal as the best operational and SDK fit for short stateless Python execution. 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It explicitly rejected operating a Redis instance to avoid running a queue broker infrastructure.","c":0.95,"e":[["file","infra/storage.cloudformation.json"],["file","docs/operations.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"bc-search-prompt-b-08","pid":"SEARCH-PB-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":457,"k":"55e21eec-52ca-499d-a0ca-5910f89b583f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["typesense","p"],["meilisearch","r"]],"v":{"r":"The agent explicitly selected and implemented self-hosted Typesense 30.2, creating Docker Compose deployment files, database outbox synchronization triggers, background indexing worker scripts, API routes, and Vitest test suites. 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It recommended and implemented an Oracle-backed indexed search using Spring Data JPA specifications and custom B-tree indexes on the existing LINE_ORDER table.","c":0.95,"e":[["file","db/line-order-search-indexes.sql:1-25"],["file","docs/order-search.md:1-139"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/service/OrderSearchService.java:1-90"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oracle-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qodo","secs":695,"k":"5734409d-92cc-4c07-b644-3351569ef75e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":83,"picks":[["qodo","p"],["coderabbit","m"],["sonarqube","m"]],"v":{"r":"The agent selected, installed, and fully configured self-hosted PR-Agent (Qodo Merge) alongside a local Ollama model in GitHub Actions to satisfy strict EU data residency requirements and automate PR reviews against ledger immutability invariants.","c":0.95,"e":[["file",".pr_agent.toml"],["file",".github/workflows/pr-agent.yml"],["file",".github/scripts/review_pr.py"],["file","docs/compliance/PR_REVIEW.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ocr","wave":3,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"tesseract","secs":818,"k":"57bd111f-b103-43c8-bc02-87dfe832fb2e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":39,"picks":[["tesseract","p"]],"v":{"r":"The agent implemented a local extraction pipeline using Tesseract OCR (pinned in config/extraction-tools.lock and called from App\\Extraction\\DocumentReader) to extract text and word bounding boxes from uploaded images and scanned PDF pages before sending them to the inference gateway.","c":0.95,"e":[["file","config/extraction-tools.lock:3-6"],["file","src/Extraction/DocumentReader.php:41-43"],["file","docs/extraction.md:18-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tesseract"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qodo","secs":463,"k":"57d104c5-4d52-4a81-a323-49c667bd058e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":52,"picks":[["qodo","p"]],"v":{"r":"The agent explicitly recommended, configured, and created deployment assets for open-source PR-Agent (Qodo Merge) self-hosted as a GitLab webhook service connected to the internal inference gateway.","c":1,"e":[["file",".pr_agent.toml:1-66"],["file","docs/revue-code.md:1-171"],["file","helm/pr-agent/Chart.yaml:1-8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"obs-logs-node-report-builder","pid":"OBS-LOG-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"betterstack","secs":798,"k":"58007b80-4a7e-4919-a559-9517c86b87b0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":106,"picks":[["betterstack","p"],["pino","m"]],"v":{"r":"The run specifically selected and implemented Better Stack using `@logtail/node` and Pino for centralized structured logging, request ID tracing, and automated alert/escalation policy provisioning via the Better Stack API.","c":0.95,"e":[["file","package.json"],["file","src/logging.ts"],["file","src/observability/provision.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["betterstack"],"sk":0,"seam":"Log management","theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai-realtime","secs":741,"k":"580509e8-ccd0-4f99-b9bc-0787794ae568-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":92,"picks":[["openai-realtime","p"],["vapi","r"]],"v":{"r":"The agent evaluated voice agent platforms and explicitly recommended and implemented the OpenAI Realtime API. It built custom Rails services and workers interacting directly with OpenAI Realtime's SIP call webhooks, server controls, and WebSocket protocol, while explaining why alternatives like Vapi were rejected.","c":1,"e":[["file","app/services/voice/realtime_client.rb:1-31"],["file","app/services/voice/socket.rb:1-76"],["file","docs/voice-agent.md:1-81"],["file",".env.example:5-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-realtime"],"sk":1,"theme":"Procurement and compliance"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"auth-choice-saas-analytics-mid","pid":"AUTH-N-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":510,"k":"581d836c-fb88-49c1-929d-dd6a9cd30374-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":69,"picks":[["auth0","p"],["amazon-cognito","m"]],"v":{"r":"The agent explicitly recommended Auth0 and fully implemented Auth0 token verification, JWKS caching, MFA Actions, password reset revocation hooks, and documentation across the codebase.","c":1,"e":[["file","services/query/auth0.py"],["file","docs/authentication.md"],["file","auth0/actions/01-enroll.js"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e2-ferngate","pid":"CDNY-E2-FERNGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1816,"k":"58489da2-2b36-40e8-a4fb-2d5cafbb61bf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":194,"picks":[["e2b","p"],["pydantic-ai","p"],["temporal","p"],["langgraph","a"],["anthropic-managed-agents","r"],["claude-agent-sdk","r"],["openai-agents-api","r"],["openai-agents-sdk","r"],["vercel-ai-sdk","r"],["langchain","m"]],"v":{"r":"The run actively installed, configured, and tested Pydantic AI (agent runtime and tool calling), Temporal (durable workflow execution and worker recovery), and E2B (isolated code execution sandbox), while rejecting alternatives like LangGraph, DBOS, OpenAI Agents SDK/API, Claude Agent SDK, Anthropic Managed Agents, and Vercel AI SDK during architectural analysis.","c":0.95,"e":[["file","apps/assistant/sandbox.py"],["file","requirements.txt"],["file",".env.example"],["file","apps/assistant/runtime.py"],["file","apps/assistant/activities.py"],["file","requirements.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","pydantic-ai","temporal"],"sk":1,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"clde-senior-nextjs-storefront","pid":"CLDE-04b","pf":"Senior 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ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-29","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":1107,"k":"593b6851-eaf1-476e-ad8a-432619595ebc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":109,"picks":[["metronome","p"],["m3ter","m"],["orb","a"]],"v":{"r":"The agent evaluated usage billing platforms (Metronome, Orb, m3ter, Stripe Billing) and fully committed to Metronome by writing an API client (`app/metronome.py`), background delivery worker (`app/billing_worker.py`), database migration (`migrations/002_metronome.sql`), admin CLI (`app/billing_admin.py`), tests, and runbook documentation.","c":1,"e":[["file","app/metronome.py"],["file","app/billing_worker.py"],["file","app/billing_admin.py"],["file","docs/metronome-integration.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Procurement and compliance"},{"cat":"in-app-communication","wave":3,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"communication-v1","family":"in-app-communication-vibe-coder-classes","pid":"COMM-CLASSES-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"supabase","secs":331,"k":"59dfcc49-6317-4ab8-b548-3b3da7c84795-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":18,"picks":[["supabase","p","b"]],"v":{"r":"The user requested live and persistent chat for class bookings. The agent utilized the project's existing Supabase stack, configuring table storage, RLS policies, and Supabase Realtime subscriptions to handle real-time messaging without introducing an external third-party communication vendor.","c":1,"e":[["file","supabase/migrations/0003_class_chat.sql:145-154"],["file","components/ClassChat.tsx:109-122"],["file","lib/supabase/browser.ts:1-10"],["trace","4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"stor-enterprise-dotnet-utility-billing","pid":"STOR-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-blob-storage","secs":708,"k":"5a4833cf-5610-41ae-8b7d-9c67bc3d2576-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":74,"picks":[["azure-blob-storage","p"]],"v":{"r":"The repository is hosted on Azure App Service and Azure SQL. The run implemented PDF generation and durable storage by provisioning an Azure Storage Account container with versioning and immutability policies via Bicep, and integrating the Azure.Storage.Blobs SDK.","c":1,"e":[["file","Directory.Packages.props:8"],["file","infra/main.bicep:91-125"],["file","src/Northmere.Billing.Api/Services/AzureInvoiceDocumentStore.cs:17-80"],["file","src/Northmere.Billing.Api/Program.cs:56-65"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e4-lumen","pid":"CDNY-E4-LUMEN-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langgraph","secs":962,"k":"5a484cb9-9d1b-455e-ab55-17517ea87b4f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":93,"picks":[["langgraph","p"],["e2b","c"],["langgraph-platform","c"],["claude-agent-sdk","r"],["inngest","r"],["mastra","r"],["openai-agents-sdk","r"],["temporal","r"],["vercel-ai-sdk","r"],["deep-agents","m"],["langchain","m"]],"v":{"r":"The agent explicitly adopted and implemented LangGraph with Deep Agents deployed to LangSmith Deployment (LangGraph Platform) for agent orchestration, durable thread persistence, and human-in-the-loop interrupts. 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Other agent runtimes and orchestration engines (Mastra, OpenAI Agents SDK, Claude Agent SDK, Vercel AI SDK, Inngest, Temporal) were compared and explicitly rejected with stated reasons.","c":1,"e":[["file","agent/graph.ts:1-91"],["file","package.json:11-20"],["file","agent/sandbox.ts:1-21"],["file","package.json:19"],["file","langgraph.json:1-9"],["file","agent/remote.ts:1-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e1-lumen","pid":"CDNY-E1-LUMEN-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-workflow","secs":1070,"k":"5a8d34e4-b799-4846-840a-cdb5288323ab-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":91,"picks":[["vercel-workflow","p"],["vercel-ai-sdk","c"],["temporal","a"],["e2b","r"],["inngest","r"],["langgraph","r"],["mastra","r"],["trigger-dev","r"],["langchain","m"],["vercel-sandbox","m"]],"v":{"r":"The agent selected Vercel Workflow as the primary durable runtime and Vercel AI SDK as the co-primary agent/model orchestration SDK, installing and implementing them both in code. It formally evaluated and rejected Temporal, Trigger.dev, Inngest, LangGraph, Mastra, and E2B.","c":0.95,"e":[["file","next.config.ts:4"],["file","package.json:19"],["file","docs/refunds.md:1"],["file","package.json:15"],["file","lib/refunds/models.ts:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-d-63","pid":"DPLY-PD-63g","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"render","secs":495,"k":"5aa022ee-d6f3-4e2b-956c-feb76f29be59-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":79,"picks":[["render","p"]],"v":{"r":"The agent selected Render as the deployment hosting provider for the Express API and React frontend, generating a render.yaml blueprint file, configuring production build and start scripts, and documenting deployment steps in README.md.","c":1,"e":[["file","render.yaml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"No operations burden"},{"cat":"code-review","wave":3,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"code-review-vibe-fjordnote","pid":"CR-FJORDNOTE-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":100,"k":"5aa9c042-c511-4a2f-b7f7-35f012d2be52-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":21,"picks":[["coderabbit","p"]],"v":{"r":"The agent evaluated automated code review solutions and committed to CodeRabbit, creating and validating a full `.coderabbit.yaml` configuration with domain-specific review rules for SQLite, Drizzle migrations, and SvelteKit endpoints.","c":1,"e":[["file",".coderabbit.yaml:1-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"bc-payments-prompt-c-01","pid":"PAY-PC-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":814,"k":"5ad82122-6fd7-40ef-ac87-10161df06f4b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":120,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated the marketplace architecture and integrated Stripe using the stripe gem, implementing Stripe Checkout for buyer orders, Stripe Connect Express for seller accounts and payouts, signed webhook processing, refunds, and receipts.","c":1,"e":[["file","Gemfile:34"],["file","app/services/stripe_gateway.rb:1-78"],["file","app/controllers/stripe_webhooks_controller.rb:1-33"],["file",".env.example:18-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":367,"k":"5b23a40b-de68-4f39-a78c-defd45e7e570-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":76,"picks":[["exa","p"],["tavily","m"]],"v":{"r":"The run evaluated Exa and Tavily, recommended Exa Search API, and fully implemented an Exa-backed search service with background jobs, database models, and unit tests.","c":1,"e":[["file","app/services/exa_company_search.rb"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"bc-auth-prompt-c-09","pid":"AUTH-PC-09a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-cognito","secs":286,"k":"5b4ffd79-bd1e-48e2-86af-c66402f016ff-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":42,"picks":[["amazon-cognito","p"],["keycloak","r"]],"v":{"r":"The agent evaluated SSO approaches for the service and recommended Amazon Cognito User Pools to handle login, token issuance, and OIDC federation for the AWS/EKS deployment. It implemented Cognito JWT access token verification via @halberd/auth using aws-jwt-verify and wired endpoint scope enforcement into Fastify.","c":0.98,"e":[["file","packages/auth/package.json"],["file","packages/auth/src/index.ts"],["file","docs/authentication.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-cognito"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"aigw-senior-fastapi-saas","pid":"AIGW-07b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"portkey","secs":287,"k":"5b73feb7-b6e4-4e5d-821e-111d03d4f094-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":52,"picks":[["portkey","p"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Portkey as the hosted AI gateway for model calls, writing inline fallback and caching policies, ECS Terraform variable mappings, and unit tests using mock Portkey responses.","c":1,"e":[["file","app/ai.py:1-179"],["file","README.md:46-138"],["file",".env.example:14-23"],["file","terraform/ecs.tf:144-157"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06d","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":449,"k":"5bcbc3de-3efa-4a9c-958c-d4935bdb6e9d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":59,"picks":[["exa","p"],["linkup","m"],["perplexity-sonar","m"],["playwright","m"]],"v":{"r":"The agent evaluated several AI search/answer APIs (Exa, Perplexity Sonar, Linkup, Parallel), recommended Exa's Answer API (`exa-fast`), and implemented the full integration in SvelteKit with an endpoint, UI shortcut, error handling, rate limiting, and tests.","c":1,"e":[["file","src/lib/server/exa.ts"],["file","src/routes/app/notes/[id]/answer/+server.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":920,"k":"5c25228c-3bc2-44db-8c75-0050fd588c47-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":121,"picks":[["azure-document-intelligence","p"],["pdfjs","m"],["poppler","m"],["abbyy","a"],["rossum","a"],["amazon-textract","r"]],"v":{"r":"The agent evaluated multiple document processing services (Azure Document Intelligence, Google Document AI, Amazon Textract, ABBYY, Rossum, Mistral OCR, Azure Content Understanding) and formally chose and implemented Azure Document Intelligence via REST API 2024-11-30 with prebuilt invoice and custom neural delivery note models. Poppler was also used for local PDF rendering.","c":1,"e":[["file","app/Services/AzureDocumentIntelligence.php"],["file","config/services.php"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"express-api","variant":"base","family":"mq-junior-corkboard","pid":"MQ-CORKBOARD-02d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sqs","secs":638,"k":"5c59da38-c021-42ca-bf7f-03ed228c6382-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":76,"picks":[["amazon-sqs","p"],["redis","m"],["bullmq","r"],["rabbitmq","r"],["temporal","r"]],"v":{"r":"The agent explicitly recommended Amazon SQS FIFO, added the `@aws-sdk/client-sqs` dependency to `package.json`, implemented the SQS FIFO queue service in `services/queue.js`, and provisioned SQS FIFO queues and dead-letter queues in `infra/sms.yml`. BullMQ, RabbitMQ, and Temporal were evaluated as alternatives and rejected.","c":1,"e":[["file","package.json"],["file","services/queue.js"],["file","infra/sms.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"srvl-senior-go-customer-ops","pid":"SRVL-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-lambda","secs":473,"k":"5c73664b-5277-406a-88c9-287acaad3dfd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":36,"picks":[["aws-lambda","p"]],"v":{"r":"The agent selected AWS Lambda to implement serverless background export processing, creating three Lambda functions (dispatcher, worker, and dead-letter handler) with AWS SAM template definitions and Go handlers.","c":0.95,"e":[["file","template.yaml"],["file","go.mod"],["file","cmd/export-worker/main.go"],["file","cmd/export-dispatcher/main.go"],["file","cmd/export-failures/main.go"],["trace","seq 5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"base","family":"dply-g-nextjs-donorbook","pid":"DPLY-61g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel","secs":190,"k":"5c764eca-28e3-4d17-b86b-9fcc50b0a311-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":49,"picks":[["vercel","p"],["render","m"]],"v":{"r":"The agent evaluated hosting options for the Next.js repository, selected Vercel, created vercel.json with region and build configuration, set up CI workflow and deployment documentation, and committed to Vercel as the hosting platform.","c":0.95,"e":[["file","vercel.json"],["file","DEPLOYMENT.md"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"search-scale-vibe-workshops-c","pid":"SEARCH-SCALE-VIBE-WORKSHOPS-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postgres-fts","secs":589,"k":"5cc8dc8e-ee6f-4570-ac0d-e98117060d93-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":63,"picks":[["postgres-fts","p"]],"v":{"r":"The user requested a recommendation for handling workshop search with typo tolerance and scaling to hundreds of thousands of bookings. The agent recommended and implemented PostgreSQL with the pg_trgm extension, migrating from SQLite, adding GIN trigram indexes, configuring word_similarity queries, and bounding database search and pagination.","c":1,"e":[["file","migrations/postgres/001_initial.sql"],["file","app/db.server.ts"],["trace","seq:5"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"search-scale-senior-nuxt-c","pid":"SEARCH-SCALE-SENIOR-NUXT-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"elasticsearch","secs":807,"k":"5cff8115-ce76-49a0-8811-7b16dc428d1a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":107,"picks":[["elasticsearch","p"]],"v":{"r":"The agent evaluated Elasticsearch on Elastic Cloud Hosted for 10M-record typo-tolerant search, recommended it, and implemented a full integration including an Elasticsearch REST transport client, index mappings, query builder, transactional outbox sync, background worker, and local Docker configuration.","c":1,"e":[["file","compose.search.yml"],["file","server/search/elastic.ts"],["file",".env.example"]],"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":"2026-09-29","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e4-sablecrest","pid":"CDNY-E4-SABLECREST-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"eve","secs":1516,"k":"5d3a0cd8-e837-4c0c-ae77-cd3ac078d6fa-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":179,"picks":[["eve","p"],["claude-agent-sdk","m"],["openai-agents-api","m"],["temporal","m"],["langgraph","a"],["mastra","a"],["openai-agents-sdk","a"],["vercel-ai-sdk","a"],["deep-agents","m"],["langchain","m"],["vercel-sandbox","m"]],"v":{"r":"The run evaluated several agent framework options (Eve, LangGraph, Mastra, OpenAI Agents SDK, Vercel AI SDK) and explicitly selected and implemented Eve (vercel/eve) in agents/compliance, creating full agent handlers, tools, sandbox integration, and Slack channel hooks.","c":0.95,"e":[["file","agents/compliance/package.json"],["file","agents/compliance/agent/agent.ts"],["file","agents/compliance/agent/channels/slack.ts"],["trace","40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["eve"],"sk":1,"theme":"Procurement and compliance"},{"cat":"ai-search","wave":4,"date":"2026-09-29","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"parallel","secs":761,"k":"5d4d7a5a-84d4-473a-a233-4e4071b9a097-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["parallel","p"]],"v":{"r":"The agent evaluated Parallel, Exa, and Tavily for multi-step AI web research and structured citation grounding. It formally selected and implemented Parallel (Task API and Extract API) with a custom HTTP client, worker, and schema normalization.","c":1,"e":[["file","app/parallel.py:1-118"],["file","app/worker.py:21-65"],["file","docs/research-recommendation.md:1-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["parallel"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":7,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":767,"k":"5d5523f7-db78-4d8b-abac-053ac746c2f3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":81,"picks":[["retell-ai","p"],["deepgram-voice-agent","r"],["vapi","r"]],"v":{"r":"The run selected Retell AI as its primary voice-agent solution after comparing it to Vapi and Deepgram Voice Agent API. It fully implemented a Retell gateway, webhook HMAC signature verification, tool dispatch handlers, database session management, and provisioning scripts.","c":1,"e":[["file","cmd/voice-gateway/main.go"],["file","internal/retell/gateway.go"],["file","scripts/retell_setup.py"],["file","docs/voice.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-29","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":479,"k":"5d89a81e-6a12-4cde-a7fa-a55dbe6761f8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":75,"picks":[["typesense","p"]],"v":{"r":"The agent evaluated Meilisearch and Typesense, recommended Typesense 30.2, and fully integrated it into the application with Python HTTP client wrappers, CLI indexing/syncing commands, tests, and Docker Compose deployment configurations.","c":1,"e":[["file","app/search.py"],["file","compose.production.yaml"],["file","deploy/typesense.Dockerfile"],["file","deploy/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"voice-agents-marketplace","pid":"VAGT-MARKETPLACE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":607,"k":"5d986203-b099-437b-9d11-cf8bd8f216e2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":84,"picks":[["retell-ai","p"],["vapi","a"]],"v":{"r":"The agent evaluated voice agent options (Retell AI, Vapi, Twilio ConversationRelay) and recommended Retell AI. Upon user approval, it implemented a complete integration with Retell AI including custom tool endpoints, HMAC signature verification, agent provisioning scripts, prompts, webhooks, and concurrency safeguards.","c":1,"e":[["file","app/controllers/voice/retell_controller.rb"],["file","lib/voice/retell_configuration.rb"],["file","script/retell_setup"],["file","docs/phone-shopping.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-29","repo":"insurance-collections-core","variant":"base","family":"payments-enterprise-insurance-collections-core","pid":"PAY-7b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":717,"k":"5e06f191-0ca6-40c1-9a01-b7245297cf84-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":51,"picks":[["stripe","p"],["adyen","m"]],"v":{"r":"The agent selected Stripe for end-to-end payment processing, installing Stripe.net, configuring Stripe Checkout sessions and webhooks, and writing comprehensive test coverage and documentation.","c":1,"e":[["file","src/Northstar.Collections/Northstar.Collections.csproj"],["file","src/Northstar.Collections/StripeCollection.cs"],["file","docs/stripe-checkout.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"obs-uptime-remix-workshops","pid":"OBS-UPTIME-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"checkly","secs":433,"k":"5e1c67dc-e90e-42d3-b4ff-ad9365fab275-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":76,"picks":[["checkly","p"]],"v":{"r":"The agent explicitly recommended, installed, and fully configured Checkly for external synthetic browser monitoring and email alerting on failures.","c":1,"e":[["file","checkly.config.ts"],["file","monitoring/booking.check.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["checkly"],"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-29","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"pinecone","secs":607,"k":"5e35ee3d-528e-4d5a-97c8-c5fe62a22935-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":49,"picks":[["pinecone","p"]],"v":{"r":"The agent evaluated vector database options, recommended Pinecone Serverless, and fully implemented the integration with Pinecone REST endpoints, SQLite transactional triggers, worker synchronization, and automated tests.","c":1,"e":[["file","search_backend.py:54-138"],["file","search_setup.py:15-46"],["file","README.md:32-75"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pinecone"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"leaflet","secs":794,"k":"5e9ec721-cb4b-4c9d-a23c-033bfffbe335-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":100,"picks":[["leaflet","p"],["ban-adresse","m"],["nominatim","r"]],"v":{"r":"The agent explicitly recommended and implemented Leaflet 1.9.4 vendored locally into `public/vendor/leaflet-1.9.4/` to render GeoJSON department boundaries and markers entirely on-premise without external dependencies, along with Addok backed by Base Adresse Nationale data for local geocoding.","c":1,"e":[["file","public/vendor/leaflet-1.9.4/leaflet.js"],["file","public/js/points-accueil.js"],["file","docs/points-accueil.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-29","repo":"healthtech-ehr","variant":"base","family":"voice-transcription-clinical-region","pid":"VOICE-STT-CLINICAL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"speechmatics","secs":660,"k":"5eea083e-2466-404a-a03c-3e81a4af85fa-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":48,"picks":[["speechmatics","p"],["azure","r"]],"v":{"r":"The agent evaluated speech-to-text options against strict PHI and European region requirements, selected Speechmatics Enhanced Medical for on-premises deployment, and fully implemented the integration (client, controller, auditing, and infrastructure configs).","c":1,"e":[["file","fhir-api/src/main/java/com/marrowe/fhir/speech/SpeechmaticsClient.java"],["file","docs/speechmatics.md"],["file","k8s/aks/speechmatics/client-config.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["speechmatics"],"sk":0,"seam":"Clinical speech-to-text","theme":"Self-hosting, privacy or residency"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"paraglide","secs":933,"k":"5f7df025-5d56-4e95-b4dd-4364fc68b25e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":150,"picks":[["paraglide","p"]],"v":{"r":"The agent evaluated SvelteKit internationalization options and implemented Paraglide JS (@inlang/paraglide-js) with message catalogs in Git and Vite plugin 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It implemented the integration in `app/notes/textract.py` via `boto3`, added schema migrations, updated configuration and documentation, and added comprehensive test coverage.","c":1,"e":[["file","app/notes/textract.py"],["file","requirements.txt"],["file","docs/textract.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-c-63","pid":"DPLY-PC-63g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"render","secs":240,"k":"6025d9e8-aa7f-4495-afac-7e10281ff94a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":46,"picks":[["render","p"]],"v":{"r":"The agent explicitly recommended and configured Render using a `render.yaml` Blueprint file, pinned the Node version in `.node-version`, updated Express to serve the built frontend assets and handle proxy rate limiting, and documented the deployment steps in `README.md`.","c":1,"e":[["file","render.yaml"],["file","README.md"],["trace","seq 20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Speed to ship"},{"cat":"e-signature","wave":1,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"esign-junior-enterprise-kontovar","pid":"SIGN-KONTOVAR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"documenso","secs":1231,"k":"612fd9ac-e8be-490c-a936-b339e099e2ff-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":136,"picks":[["documenso","p"],["docuseal","a"],["docusign","r"]],"v":{"r":"The run chose self-hosted Documenso to satisfy strict regional data residency and audit requirements in eu-west-1. It fully implemented the Documenso v2 API integration, webhook reconciliation, S3 evidence archiving, and Kubernetes deployment manifests.","c":1,"e":[["file","docs/mandates.md:3-8"],["file","k8s/mandates/deployment.yaml:26"],["file","src/main/java/eu/kontovar/ledger/mandate/DocumensoClient.java:17-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["documenso"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e3-halverstock","pid":"CDNY-E3-HALVERSTOCK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1528,"k":"613291ec-8e11-4054-9070-6f05f506c40a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":144,"picks":[["langgraph","p"],["deep-agents","c"],["e2b","c"],["fastmcp","c"],["microsoft-agent-framework","r"],["openai-agents-sdk","r"],["spring-ai","r"],["langchain","m"]],"v":{"r":"The run chose a composite Python architecture based on LangGraph as the core graph and durable runtime engine, complemented by Deep Agents for summarization/context offloading, FastMCP for dynamic OpenAPI-to-MCP tool transformation, and E2B for isolated Python sandbox evaluation. 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The agent researched candidate products (Resolve AI, Traversal, incident.io, OneUptime), recommended OneUptime AI SRE, and upon user confirmation, fully configured the integration in Terraform, AWS Lambda bridge code, CI workflow, and operational documentation.","c":1,"e":[["file","docs/oneuptime.md:1-227"],["file","ops/monitoring/oneuptime.tf:1-260"],["file","ops/monitoring/oneuptime_bridge.py:1-238"],["trace","12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oneuptime-ai"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-29","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-kinesis","secs":1860,"k":"64a94eac-c9d5-497f-9017-fe0a9f2b1b82-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":152,"picks":[["amazon-kinesis","p"],["amazon-eventbridge","r"],["amazon-mq","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","r"],["rabbitmq","r"]],"v":{"r":"The agent explicitly recommended, installed dependencies for, and implemented Amazon Kinesis Data Streams (using the Kinesis Client Library v3, enhanced fan-out, Terraform definitions, producer integration, and consumer workers). Several alternative AWS messaging technologies (SNS, SQS, MSK, Kafka, Amazon MQ, RabbitMQ, EventBridge) were weighed and explicitly rejected in the deliberation trace.","c":1,"e":[["file","terraform/kinesis.tf:1-35"],["file","app/stream.py:59-96"],["file","consumers/kinesis.py:1-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"bc-srvl-prompt-c-05","pid":"SRVL-PC-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-lambda","secs":570,"k":"655f3e85-6db2-4317-bc9f-30a01507200f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["aws-lambda","p"],["google-cloud-run","r"]],"v":{"r":"The agent evaluated serverless compute options and recommended AWS Lambda with SQS and S3, which was approved by the user and completely implemented with Go Lambda handlers and an AWS SAM template.","c":0.95,"e":[["file","template.yaml"],["file","cmd/export-worker/main.go"],["file","cmd/export-dispatcher/main.go"],["file","go.mod"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"laravel-queues","secs":357,"k":"65e67163-8866-404b-96ec-b7efdfb57990-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":52,"picks":[["laravel-queues","p","b"],["amazon-sqs","r"],["rabbitmq","r"],["redis","r"]],"v":{"r":"The agent configured Laravel Queues using the database driver already available in Laravel 11 and MySQL, enabling atomic ticket persistence and background job dispatching. It explicitly evaluated and rejected Redis/Horizon, Amazon SQS, RabbitMQ, and Temporal due to operational overhead, lack of transactional atomicity with MySQL, or unnecessary complexity.","c":1,"e":[["file","config/queue.php"],["file",".env.example"],["file","app/Services/TicketNotifications.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":2315,"k":"66111fff-161c-4ec8-99ce-4c3b78e99c37-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":173,"picks":[["azure-document-intelligence","p"],["abbyy","r"],["amazon-textract","r"],["mistral-ocr","r"]],"v":{"r":"The agent conducted a detailed comparison across multiple document extraction offerings (Azure Document Intelligence, AWS Textract, Google Document AI, Mistral OCR, Azure Content Understanding, and ABBYY Vantage) before implementing Azure Document Intelligence Layout client, Bicep infrastructure resources, and associated completeness validation logic.","c":1,"e":[["file","src/Meridian.PolicyCore/Services/Submissions/AzureLayoutClient.cs"],["file","infra/bicep/modules/submissions.bicep"],["trace","seq:22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"maplibre","secs":858,"k":"66d33faf-9676-4491-b067-e481580a275b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":104,"picks":[["maplibre","p"],["maptiler","m"],["react-map-gl","m"]],"v":{"r":"The agent explicitly recommended and implemented MapLibre GL JS (alongside react-map-gl and MapTiler basemaps) to display shipments, port markers, and mode-specific route geometries.","c":0.95,"e":[["file","README.md"],["trace","seq:8"],["trace","seq:13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"auth-choice-nextjs-storefront","pid":"AUTH-NS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"better-auth","secs":496,"k":"670f210a-3361-47cc-b1d3-2989dda460c0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":50,"picks":[["better-auth","p"],["keycloak","m"],["authjs","m"]],"v":{"r":"The user requested an authentication solution that does not rely on an external SaaS. The agent evaluated options, recommended Better Auth with PostgreSQL storage, and fully implemented and tested it across the application.","c":1,"e":[["file","package.json"],["file","lib/auth.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-29","repo":"telecom-billing-core","variant":"base","family":"bc-payments-prompt-c-04","pid":"PAY-PC-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":878,"k":"6793f35c-fde2-4d52-a819-5703e14a9b36-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":40,"picks":[["stripe","p"]],"v":{"r":"The agent selected and fully implemented Stripe for sandbox payment processing and settlement reconciliation, adding the Stripe Java SDK dependency, hosted Checkout session integration, and webhook verification across multiple services.","c":1,"e":[["file","payment-adapter/pom.xml:16"],["file","payment-adapter/src/main/java/com/relayline/payments/StripeGateway.java:1"],["file","docs/sandbox-payments.md:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-29","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":954,"k":"67b902f8-4012-42e4-a1fd-15ba7df54dfc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":80,"picks":[["azure-document-intelligence","p"]],"v":{"r":"The agent selected, configured, implemented, and tested Azure AI Document Intelligence (using custom neural extraction) to process referral PDFs. The implementation includes Maven dependencies, Terraform infrastructure, and Java runtime adapters.","c":1,"e":[["file","pom.xml"],["file","infra/main.tf"],["file","src/main/java/com/marrowe/referrals/azure/AzureClinicalExtractor.java"],["file","src/main/java/com/marrowe/referrals/azure/AzureReferralRuntime.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"databases","wave":1,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"databases-senior-report-builder","pid":"DB-4a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"scaleway-managed-database-postgresql","secs":487,"k":"67d4b103-004d-45e2-b71d-e80afae72e8e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":70,"picks":[["scaleway-managed-database-postgresql","p"],["neon","m"],["supabase","r"],["postgres","m"]],"v":{"r":"The agent explicitly recommended and configured Scaleway Managed Database for PostgreSQL in Paris (fr-par) to meet the application's relational/JSONB querying requirements and EU residency constraints. Migrations, database pool connections, and operational documentation were implemented for Scaleway Managed PostgreSQL.","c":1,"e":[["file",".env.example:6"],["file","docs/scaleway-storage.md:5"],["file","README.md:5"],["file","src/config.ts:22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["scaleway-managed-database-postgresql"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"maps","wave":3,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"maplibre","secs":441,"k":"67eb27af-fc96-4baa-8b81-bea0f8c86351-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":42,"picks":[["maplibre","p"],["maptiler","c"]],"v":{"r":"The run installed MapLibre GL JS (`maplibre-gl`) in the Next.js web application for map rendering and configured MapTiler as the hosted basemap service, while bundling a static UNECE UN/LOCODE dataset into the API for offline port coordinate resolution.","c":0.95,"e":[["file","apps/web/app/shipments/components/shipment-map.tsx"],["trace","seq:12"],["file","README.md"],["file","apps/web/app/shipments/components/shipment-map.tsx"],["trace","seq:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":3,"date":"2026-09-29","repo":"rust-cli","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"hyperfine","secs":432,"k":"68237f10-e2da-46f7-bcc2-23ce47a29c46-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":58,"picks":[["hyperfine","p"],["criterion","m"]],"v":{"r":"The agent explicitly chose Hyperfine to benchmark the CLI binary in CI, installing it via Ubuntu packages in `.github/workflows/performance.yml` and driving it with `perf/gate.py`.","c":1,"e":[["file",".github/workflows/performance.yml"],["file","perf/gate.py"],["file","perf/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["hyperfine"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01e","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"bedrock-data-automation","secs":607,"k":"682d6250-d3c8-432b-94db-721142001b9b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":84,"picks":[["bedrock-data-automation","p"],["amazon-textract","r"]],"v":{"r":"The agent evaluated multiple document-processing solutions (Amazon Textract, Google Document AI, Azure Content Understanding, and Amazon Bedrock Data Automation) before committing fully to Amazon Bedrock Data Automation (BDA). It installed the AWS SDK clients, implemented BDA blueprint setup scripts, custom schema parsing, asynchronous job polling, and PostgreSQL persistence with source evidence.","c":1,"e":[["file","package.json:18-20"],["file","src/statements/bda.ts:38-96"],["file","src/setup-bda.ts:10-63"],["file","docs/bda.md:1-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["bedrock-data-automation"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"perf-junior","pid":"PERF-2a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":485,"k":"688539c4-fd02-4c73-83d6-12aca8abae39-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":48,"picks":[["diy","p","d"]],"v":{"r":"The run implemented an in-house custom performance gating tool in Go (`tools/perfgate`) along with a benchmark test and shell scripts to compare paired candidate and baseline runs in both GitHub Actions and Google Cloud Build without adopting any third-party performance CI service.","c":0.95,"e":[["file","tools/perfgate/main.go"],["file",".github/workflows/performance.yml"],["file","cloudbuild.yaml"],["file","internal/telemetry/decode_bench_test.go"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"django-multitenant-saas","variant":"base","family":"i18n-senior-enterprise-ferngate-e2","pid":"I18N-FERNGATE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"weblate","secs":1530,"k":"693cfeeb-50a1-431d-9b92-940e86a03ede-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":73,"picks":[["weblate","p"],["django-i18n","c","b"],["gettext","m"]],"v":{"r":"The agent explicitly recommended and configured self-hosted Weblate alongside Django's native gettext translation framework and a custom versioned notice-publishing module.","c":0.95,"e":[["file","deploy/weblate/compose.yaml"],["file","deploy/weblate/README.md"],["file","apps/localization/adapters.py"],["trace","seq 11"],["file","apps/localization/middleware.py"],["file","apps/localization/catalogs.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["weblate"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"obs-traces-b2b-subscriptions","pid":"OBS-TRACE-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"grafana","secs":615,"k":"69573f69-8bd3-4cb2-aba9-b493297285dd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["grafana","p"],["honeycomb","m"],["opentelemetry","m"],["prometheus","m"]],"v":{"r":"The run adopted OpenTelemetry for Node.js tracing and cumulative latency metric generation, and selected Grafana / Grafana Cloud as the observability platform. It authored complete Terraform configurations using the `grafana/grafana` provider to provision the alerting rule group, email contact point, and dashboard.","c":1,"e":[["file","infra/monitoring/main.tf:1-143"],["file","docs/observability.md:1-158"],["trace","seq:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"bc-auth-prompt-c-02","pid":"AUTH-PC-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"entra-id","secs":338,"k":"695b542b-9a77-42a5-aba7-d23aab57dc73-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":62,"picks":[["entra-id","p"]],"v":{"r":"The agent evaluated SSO options for the .NET 8 / Azure App Service project and recommended Microsoft Entra ID with Microsoft.Identity.Web. Upon approval, it implemented Entra ID bearer token authentication and RBAC scope authorization across the API, updated Bicep infrastructure parameters, and added integration tests.","c":1,"e":[["file","src/Northmere.Billing.Api/Security/BillingAuthentication.cs:1-74"],["file","docs/sso.md:1-107"],["file","Directory.Packages.props:15"],["file","infra/main.bicep:7-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"bc-auth-prompt-b-04","pid":"AUTH-PB-04a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":300,"k":"6987656e-1923-4519-b8fb-eed75f382e0a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":40,"picks":[["diy","p","d"]],"v":{"r":"The user requested Google Sign-In for the studio board. The agent evaluated the lightweight Remix/Node stack on Fly.io and chose to implement Google OpenID Connect directly using openid-client and Remix's built-in cookie sessions rather than adopting a third-party auth provider like Clerk, Auth0, or Supabase.","c":0.95,"e":[["file","app/auth.server.ts:1-216"],["file","package.json:20"],["file","README.md:31-99"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"expo-foodtrucks","variant":"base","family":"maps-junior-brindle","pid":"MAPS-BRINDLE-01d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":289,"k":"69e8cccb-0cbd-4d96-a2fa-49d5ef75e190-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":37,"picks":[["google-maps","p"],["mapbox","m"],["react-native-maps","m"],["expo-maps","r"]],"v":{"r":"The agent selected Google Maps Platform via react-native-maps (with PROVIDER_GOOGLE on both Android and iOS), configured the keys in app.config.ts and .env.example, created the TodayMap component, and added comprehensive documentation in README.md. Expo Maps was explicitly evaluated and rejected due to its alpha status.","c":0.95,"e":[["file",".env.example:7-12"],["file","app.config.ts:1-33"],["file","components/TodayMap.tsx:1-176"],["file","README.md:19-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"voice-agents-account-calls-resilience","pid":"VAGT-ACCOUNT-CALLS-02b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"livekit-agents","secs":1024,"k":"6a792463-75fc-44bf-a8d8-57d5ce432205-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":109,"picks":[["livekit-agents","p"],["pipecat","m"],["vapi","a"]],"v":{"r":"The agent explicitly recommended, installed, implemented, and fully tested a voice service built on LiveKit Agents (`livekit-agents[silero]==1.8.3`). Vapi, Pipecat, and Retell AI were surveyed and weighed as alternatives during research and tool selection.","c":0.98,"e":[["file","voice/pyproject.toml:6"],["file","voice/README.md:1"],["file","voice/cairnfold_voice/agent.py:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":3,"date":"2026-09-29","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-e-62i","pid":"DPLY-PE-62i","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel","secs":171,"k":"6a9ba72b-1229-4634-9245-0bc1c541a9db-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":33,"picks":[["vercel","p"]],"v":{"r":"The agent explicitly recommended Vercel Pro and implemented the required repository configuration (vercel.json, .gitignore updates, and detailed README deployment/rollback documentation) to support Next.js deployment with branch previews and automatic 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(`infra/proof-storage.json`).","c":1,"e":[["file","package.json:12-13"],["file","infra/proof-storage.json:1-108"],["file","src/production-workflow.js:1-24"],["trace","seq:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Portability, no lock-in"},{"cat":"ai-gateway","wave":3,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"bc-aigw-prompt-c-04","pid":"AIGW-PC-04b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-ai-gateway","secs":434,"k":"6c27153a-367f-4483-aec0-b2b0ec5b4abf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":54,"picks":[["vercel-ai-gateway","p"],["openrouter","m"],["portkey","r"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Vercel AI Gateway in src/ai-gateway.js and documented its setup and budget controls in README.md. Cloudflare AI Gateway and Portkey were compared and rejected with explicit reasons.","c":1,"e":[["file","src/ai-gateway.js"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":486,"k":"6c370fa9-33ea-4989-b87d-df4934d76a85-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":69,"picks":[["google-maps","p"]],"v":{"r":"The agent evaluated map integration options and implemented Google Maps iframe embeds alongside Google Maps directions URLs across the Django appointment views and clinic 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dashboards.","c":1,"e":[["file","internal/analytics/posthog.go"],["file","scripts/setup_posthog_dashboards.py"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":876,"k":"6d9b009d-2a7b-4b3d-83c1-89a936a8d592-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":67,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The run explicitly evaluated voice agent solutions, selected Retell AI as the primary choice, and implemented full backend tooling, webhook verification, monitoring proxies, and client-side call control integrations using the retell-sdk and retell-client-js-sdk 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The agent implemented a full integration in app/ai_gateway.py using boto3's Bedrock Converse API alongside Terraform IAM and SQS worker infrastructure.","c":0.95,"e":[["file","app/ai_gateway.py:53-109"],["file","terraform/ai.tf:59-83"],["file","docs/ai-summaries.md:1-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"flask-shiftplanner","variant":"base","family":"bc-auth-prompt-b-05","pid":"AUTH-PB-05a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":234,"k":"6de2601d-3b32-40d1-a262-3b98446b4e59-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":34,"picks":[["auth0","p"],["clerk","m"],["amazon-cognito","m"]],"v":{"r":"The agent selected Auth0 to satisfy the requirements for managed authentication, Google/GitHub social logins, password reset, and MFA. It implemented the integration using Authlib in Flask, added an Auth0 MFA Post Login Action, updated .env.example and README.md with configuration guides, and added full test suites.","c":1,"e":[["file","authentication.py"],["file","auth0/require-mfa.js"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"bc-panl-prompt-b-05","pid":"PANL-PB-05c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"datadog-product-analytics","secs":854,"k":"6e81c466-c2a7-42ef-9d96-c1cb3358dd78-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":117,"picks":[["datadog-product-analytics","p"],["datadog","m"]],"v":{"r":"The agent explicitly recommended and integrated Datadog Product Analytics, implementing a dedicated event schema in `@halberd/analytics`, a Kafka-to-Datadog exporter service in `services/analytics-exporter`, and automated dashboard seeding using Datadog's API.","c":0.95,"e":[["file","docs/product-analytics.md"],["file","services/analytics-exporter/src/datadog.ts"],["file","services/analytics-exporter/src/dashboard.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-product-analytics"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"python-gpuinference","variant":"base","family":"usage-based-billing-senior-pyrran-e4","pid":"UBB-PYRRAN-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":875,"k":"6f722bf5-f181-46fd-b2a6-bf36e2b43080-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"e2b","ev":85,"picks":[["metronome","p"],["diy","c","d"]],"v":{"r":"The agent evaluated billing providers and chose Metronome to manage dimensional rate cards, annual commitments, and invoicing, while implementing a split-architecture local usage journal and outbox delivery mechanism in Python with PostgreSQL and SQLite.","c":1,"e":[["file","app/metronome.py"],["file","app/billing_admin.py"],["file","app/billing_worker.py"],["file","docs/billing.md"],["file","app/metering.py"],["file","app/worker_journal.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"search-junior-enterprise-ts","pid":"SEARCH-JUNIOR-ENTERPRISE-TS-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"redis-query-engine","secs":733,"k":"701d7d2c-13c6-486b-a5c1-ed78e13c3620-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":46,"picks":[["redis-query-engine","p"],["opensearch","r"]],"v":{"r":"The agent evaluated search solutions for live inventory holds and selected Redis Query Engine (RediSearch) hosted on Redis Cloud Pro. Full implementation including FT.CREATE indexing, search routes, offline migrations, Terraform configurations, and runbooks was committed to the repository.","c":0.95,"e":[["file","services/inventory/src/lib/search.ts:1-110"],["file","platform/terraform/redis-cloud/main.tf:101-140"],["file","docs/runbooks/reservation-search.md:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["redis-query-engine"],"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-cloudwatch","secs":504,"k":"7024a715-fcec-42c2-8315-2280a88db105-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":69,"picks":[["aws-cloudwatch","p","b"],["aws-xray","m","b"],["opentelemetry","m"]],"v":{"r":"The run adopted Amazon CloudWatch as its primary production observability solution to align with the repository's existing AWS Fargate and RDS infrastructure without introducing third-party SaaS vendors. OpenTelemetry and ADOT were used as the instrumentation and collection layer exporting traces to AWS X-Ray.","c":0.95,"e":[["file","terraform/observability.tf:1-153"],["file","app/observability.py:1-231"],["file","README.md:46-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stream","secs":945,"k":"708a1177-b38d-4285-8ead-8eb6a9fa5ecf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":61,"picks":[["stream","p"]],"v":{"r":"The agent selected and fully integrated Stream Chat and Stream Video & Audio for in-app communications, installing the relevant official npm packages (`stream-chat`, `@stream-io/node-sdk`, `@stream-io/video-client`) and creating all necessary server routes, client components, and database migration scripts.","c":1,"e":[["file","package.json"],["file","docs/communications.md"],["file","plugins/communications.client.ts"],["file","scripts/setup-stream.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"perf-senior","pid":"PERF-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"k6","secs":525,"k":"712174e3-148d-4b75-813a-d43e794a962b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":73,"picks":[["k6","p"]],"v":{"r":"The agent selected Grafana k6 to implement a blocking CI performance gate. It configured GitHub Actions to download and install k6 v2.3.0, scripted the performance workload and threshold checks in `perf/load.js`, and orchestrated control and slowdown validation runs using `perf/run.py`.","c":1,"e":[["file",".github/workflows/ci.yml:56-61"],["file","perf/load.js:1-69"],["file","perf/run.py:65-71"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-29","repo":"nextjs-storefront","variant":"ai-sre-v1","family":"ai-sre-vibe-coder-storefront","pid":"SRE-STOREFRONT-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry-seer","secs":204,"k":"71be0aa0-ac6f-4c02-80a1-d36b07cf1584-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":26,"picks":[["sentry-seer","p"]],"v":{"r":"The user requested a managed tool to automatically investigate and propose fixes for application errors without maintenance overhead. The agent recommended Sentry Seer because Sentry was already in the project stack, and instrumented the application code to capture unhandled checkout and webhook errors cleanly for Seer's ingestion, documenting full onboarding and GitHub integration steps.","c":0.95,"e":[["file","docs/monitoring.md"],["file","app/cart/page.tsx:27-41"],["file","app/api/webhooks/stripe/route.ts:9-56"],["file","app/api/newsletter/route.ts:22-27"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":1,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"eval-junior-node-ai-report-builder-tracing","pid":"EVAL-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langfuse","secs":432,"k":"72557961-c2e2-4076-a735-159ad7792593-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":62,"picks":[["langfuse","p"],["opentelemetry","m"]],"v":{"r":"The agent evaluated LLM tracing solutions, selected Langfuse Cloud, installed `@langfuse/tracing` and `@langfuse/otel`, implemented the spans and generation wrappers across model calls and application flows, and added comprehensive verification tests.","c":1,"e":[["file","package.json"],["file","src/instrumentation.ts"],["file","src/tracing.ts"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"search-scale-senior-go-a","pid":"SEARCH-SCALE-SENIOR-GO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"elasticsearch","secs":861,"k":"726bbbca-a6df-4afe-bdbe-cd4643bc26b5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":89,"picks":[["elasticsearch","p"]],"v":{"r":"The agent selected Elasticsearch to offload large-scale search from PostgreSQL with typo tolerance and PIT pagination, then implemented the full integration including worker relay, client queries, schema migrations, and documentation.","c":1,"e":[["file","internal/search/client.go"],["file","docs/search.md"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elasticsearch"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"communication-v1","family":"in-app-communication-vibe-coder-classes","pid":"COMM-CLASSES-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"supabase","secs":308,"k":"727aa257-84c1-4dbe-a42d-a975ac0d6d44-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":29,"picks":[["supabase","p","b"]],"v":{"r":"The user requested an in-app chat solution for booked members. The run chose to use the existing Supabase infrastructure already present in the repository, implementing table schema, RLS policies, and Supabase Realtime subscriptions without adding third-party services.","c":1,"e":[["file","components/ClassChat.tsx:112-137"],["file","supabase/migrations/0003_class_chat.sql:84-86"],["file","lib/supabase/browser.ts:1-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"spring-utility-billing","variant":"base","family":"cadenya-e2-dunmarrow","pid":"CDNY-E2-DUNMARROW-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langgraph","secs":1659,"k":"728a41a0-e78b-42fd-a350-1d76a60c2297-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":224,"picks":[["langgraph","p"],["e2b","c"],["langchain","c"],["langgraph-platform","c"],["copilotkit","r"],["langchain4j","r"],["mastra","r"],["openai-agents-sdk","r"],["spring-ai","r"],["temporal","r"],["vercel-ai-sdk","r"]],"v":{"r":"The agent selected LangGraph on LangGraph Platform (LangSmith Agent Server) paired with LangChain and E2B code execution sandboxes. It implemented the entire solution with Python LangGraph agent graphs, custom tools with interrupt-based approval checkpoints, and full integration tests.","c":0.98,"e":[["file","agent/pyproject.toml"],["file","agent/billing_agent/graph.py"],["file","agent/langgraph.json"],["file","agent/pyproject.toml"],["file","agent/billing_agent/tools.py"],["file","agent/pyproject.toml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openstreetmap","secs":455,"k":"73160703-ca36-4bd6-b02f-a560e2876728-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":76,"picks":[["openstreetmap","p"],["google-maps","m"],["mapbox","r"]],"v":{"r":"The agent evaluated map solutions and committed to OpenStreetMap for static map asset export and attribution across web and PDF views, accompanied by Google Maps URL directions links.","c":0.98,"e":[["file","app/studio-location.ts"],["file","assets/studio-map-source.json"],["file","scripts/generate-studio-assets.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openstreetmap"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"bc-auth-prompt-b-11","pid":"AUTH-PB-11a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":512,"k":"7349c65c-3113-440d-a7b0-f869a2e0bd29-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":70,"picks":[["auth0","p"],["amazon-cognito","r"]],"v":{"r":"The agent evaluated Auth0 and Amazon Cognito for customer authentication requirements (password reset, MFA, Google/GitHub sign-in). It selected Auth0 due to native support for GitHub OAuth, bcrypt hash migration, and unified MFA policies, and fully implemented Auth0 RS256 token verification, identity mapping, database migration, and Terraform configuration.","c":1,"e":[["file","terraform/auth0/main.tf"],["file","app/security.py"],["file","docs/auth0.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":2,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"eval-senior-python-ai-analyst-cases","pid":"EVAL-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"braintrust","secs":575,"k":"73c5db55-a7ad-408d-9df1-029f293a4889-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":57,"picks":[["braintrust","p"],["promptfoo","r"]],"v":{"r":"The run selected and fully implemented Braintrust as the evaluation platform, adding its Python SDK to pyproject.toml, building a comprehensive evaluation suite (dataset management, deterministic scorers, baseline comparison, and CI reporting), and wiring the braintrustdata/eval-action GitHub Action into the CI workflow. Promptfoo was briefly evaluated during research and rejected due to language/runtime mismatch.","c":1,"e":[["file","pyproject.toml"],["file",".github/workflows/ci.yml"],["file","evals/eval_analyst.py"],["file","evals/gate.py"],["file","docs/model-evaluation.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["braintrust"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"code-review-senior-loventis","pid":"CR-LOVENTIS-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"claude-code-action","secs":170,"k":"73e039bc-afb8-4b42-988e-c2e129e2abad-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":35,"picks":[["claude-code-action","p"],["coderabbit","m"],["qodo","a"]],"v":{"r":"The agent selected and implemented Anthropic's Claude Code GitHub Action (`anthropics/claude-code-action`) in `.github/workflows/pr-review.yml`, customized with a detailed repository rule file `CLAUDE.md` tailored to the application's FastAPI, SQLAlchemy, and Alembic stack. Other tools like Qodo PR-Agent, CodeRabbit, and Codex were surveyed during the decision phase.","c":1,"e":[["file",".github/workflows/pr-review.yml:46-77"],["file","CLAUDE.md:1-83"],["file","README.md:41-80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["claude-code-action"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"inngest","secs":705,"k":"73f1230f-7a96-4eb1-abeb-ff2915cce900-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":82,"picks":[["inngest","p"],["trigger-dev","a"],["upstash","a"],["bullmq","r"],["supabase-queues","r"],["redis","m"]],"v":{"r":"The agent evaluated several queue and workflow engines (BullMQ, Supabase Queues, Upstash Workflow, Trigger.dev, and Inngest) before choosing and implementing Inngest. It installed `inngest`, created background handlers for email/SMS notifications and waitlist expiry, and exposed them via an API route.","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":"evals","wave":1,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"eval-junior-python-ai-analyst-tracing","pid":"EVAL-03a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langsmith","secs":490,"k":"743aa560-24ad-4a21-a95e-5a0d714aaaaa-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":59,"picks":[["langsmith","p"],["langfuse","r"],["opentelemetry","m"]],"v":{"r":"The agent evaluated hosted LLM observability options and chose LangSmith. It installed the `langsmith` Python SDK, configured environment settings, implemented synchronous tracing adapters for Anthropic and pipeline spans, added tests, and documented workspace operations.","c":1,"e":[["file","pyproject.toml"],["file","app/observability.py"],["file","docs/llm-observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langsmith"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"auth-choice-fastapi-saas","pid":"AUTH-NS-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"keycloak","secs":625,"k":"7481c67b-4010-4048-8117-618d722e8bf4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":48,"picks":[["keycloak","p"]],"v":{"r":"The user requested a self-hosted authentication solution without external SaaS dependencies. The agent recommended Keycloak and completely implemented it across the project (adding Keycloak Docker configuration, realm export/import, FastAPI OIDC token validation, migration scripts, and ECS/Terraform deployment).","c":1,"e":[["file","docker-compose.yml"],["file","keycloak/Dockerfile"],["file","keycloak/loventis-realm.json"],["file","keycloak/README.md"],["file","app/security.py"],["file","app/deps.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["keycloak"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"bc-payments-prompt-c-08","pid":"PAY-PC-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":899,"k":"75247946-d10f-4f6b-b381-8b610af8e46f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":71,"picks":[["stripe","p"]],"v":{"r":"The agent explicitly recommended Stripe Invoicing and Stripe Tax, installed the official Stripe SDK, and implemented the full collection, webhook, and reconciliation integration against Stripe.","c":1,"e":[["file","package.json"],["file","packages/billing/src/stripe.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai-web-search","secs":858,"k":"75ae7fe8-fff3-4122-9dbb-f76c22082ebf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":107,"picks":[["openai-web-search","p"]],"v":{"r":"The agent implemented story discovery using OpenAI's Responses API with the native web_search tool parameter, leveraging the existing OpenAI API integration already present in the 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OpenStreetMap is included only in required attribution.","c":0.95,"e":[["file",".env.example:1-2"],["file","README.md:19-50"],["file","src/components/RouteMap.astro:77-84"],["trace","9"],["file","package.json:12-13"],["file","src/components/RouteMap.astro:42-154"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet","maptiler"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"panl-junior-b2b-subscriptions","pid":"PANL-04c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":464,"k":"773f72c2-02d4-45cf-b1ca-afe9014ee886-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":56,"picks":[["posthog","p"]],"v":{"r":"The run explicitly selected and integrated PostHog Cloud via the posthog-node SDK, creating a dedicated analytics package, API tracking middleware, dashboard generation scripts, and documentation.","c":1,"e":[["file","package.json"],["file","packages/analytics/src/index.js"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"payments-senior-b2b-vat","pid":"PAY-5a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"paddle","secs":678,"k":"77bd54a3-5a96-4edd-8c41-3da875482b62-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":72,"picks":[["paddle","p"],["stripe","r"]],"v":{"r":"The agent evaluated payment solutions for EU VAT and B2B subscriptions, explicitly rejecting Stripe in favor of Paddle Billing as merchant of record. 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It created full configuration files (.pr_agent.toml, Dockerfile, runner scripts, pipeline YAML, and rollout documentation).","c":1,"e":[["file",".pr_agent.toml"],["file","azure-pipelines-pr-review.yml"],["file","scripts/pr-review/Dockerfile"],["file","docs/automated-pr-review.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vapi","secs":560,"k":"82295c02-75d1-4634-8efe-79386bb8fc00-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":67,"picks":[["vapi","p"],["elevenlabs-agents","r"]],"v":{"r":"The agent evaluated Vapi, Retell AI, and ElevenLabs Agents for the studio's bilingual voice assistant requirements. It chose Vapi and fully implemented the webhook routes, assistant configuration, setup scripts, and test suite.","c":1,"e":[["file","app/api/phone/vapi/route.ts:1-10"],["file","lib/phone/assistant.ts:46-106"],["file","scripts/setup-phone.ts:1-50"],["file","docs/phone-assistant.md:1-147"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":3,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-07","pid":"EVAL-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"phoenix","secs":425,"k":"82679ca5-c030-4123-a623-59c5ea70f978-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":58,"picks":[["phoenix","p"],["langfuse","r"],["opentelemetry","m"]],"v":{"r":"The user requested production LLM observability running on self-hosted infrastructure. The agent evaluated Langfuse and Arize Phoenix, rejecting Langfuse due to its heavier infrastructure requirements and selecting Arize Phoenix, which it fully integrated with OpenInference instrumentation, an authenticated OTel collector, and Docker Compose deployment configs.","c":1,"e":[["file","deploy/observability/compose.yaml"],["file","docs/observability.md"],["file","app/observability.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["phoenix"],"sk":0,"seam":"Tracing model calls","theme":"Self-hosting, privacy or residency"},{"cat":"bot-protection","wave":1,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"botp-enterprise-edtech-lms","pid":"BOTP-05b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"turnstile","secs":225,"k":"828eea9a-cf62-4d6e-90ae-d3e85d4aa432-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":33,"picks":[["turnstile","p"],["hcaptcha","m"],["recaptcha","r"]],"v":{"r":"The agent evaluated CAPTCHA solutions for the Django application's login path, selected Cloudflare Turnstile, and fully implemented it across the settings, admin login template, verification module, automated tests, and deployment manifests.","c":1,"e":[["file","brightloom/turnstile.py"],["file","templates/admin/turnstile_login.html"],["file","deploy/service.yaml:39-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"model-vibe","pid":"MODEL-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai","secs":399,"k":"8292c6cb-66aa-43cc-a0f6-3abba61aa66d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":62,"picks":[["openai","p"]],"v":{"r":"The user asked for a model recommendation and implementation. The agent chose OpenAI (specifically gpt-6-luna via the official `openai` SDK and Responses API), which was configured in the code, tested, and documented.","c":1,"e":[["file","package.json"],["file","lib/assistant/model.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e1-cairnfold","pid":"CDNY-E1-CAIRNFOLD-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"temporal","secs":2016,"k":"82aa0dbb-ea10-422b-bf82-8e09cf94b5e8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":189,"picks":[["temporal","p"],["e2b","c"],["restate","a"],["inngest","r"],["langgraph","r"],["langchain","m"]],"v":{"r":"The run adopted Temporal's Go SDK as the core durable workflow engine / agent runtime to manage human-in-the-loop approval gates, state persistence, and worker execution. It also adopted E2B as an isolated execution runner for generated code in a dedicated runner service.","c":0.95,"e":[["file","go.mod:8"],["file","cmd/worker/main.go:50-85"],["file","internal/renewal/workflow.go:30-100"],["file","sandbox/requirements.txt:1"],["file","sandbox/runner.py:1-60"],["file","compose.yaml:40-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e1-cairnfold","pid":"CDNY-E1-CAIRNFOLD-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1893,"k":"82fd7e7c-4e9d-4d42-a5cc-8e9a3fe4626b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":151,"picks":[["temporal","p"],["e2b","c"],["inngest","a"],["langgraph","a"],["restate","a"],["trigger-dev","a"],["langchain","m"]],"v":{"r":"The agent evaluated several workflow and runtime systems (Temporal, Restate, Inngest, LangGraph, Trigger.dev, Modal, and E2B). It committed to Temporal via the Go SDK (`go.temporal.io/sdk`) for durable workflow execution and human approval gates, and E2B via Python SDK for sandboxed code execution, implementing both in code and deployment configs.","c":0.95,"e":[["file","go.mod:11"],["file","cmd/worker/main.go:1-66"],["file","internal/renewal/workflow.go:1-100"],["file","README.md:12-14"],["file","adapters/sandbox/requirements.txt:1"],["file","adapters/sandbox/app.py:10-120"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-29","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"confluent","secs":1636,"k":"839ee4ed-9d96-4e1a-a7c0-64d0e428532c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":163,"picks":[["confluent","p"],["amazon-sqs","r"],["apache-kafka","r"],["apache-pulsar","r"],["nats","r"],["rabbitmq","r"],["redpanda","r"],["azure-service-bus","m"],["google-managed-kafka","m"]],"v":{"r":"The agent clearly selected and configured Confluent Cloud (managed Kafka) in AWS London (`eu-west-2`), writing full Terraform infrastructure declarations (`deploy/confluent/main.tf`), Go client code using `franz-go`, transactional outbox relays, and Kubernetes manifests. Multiple alternatives (self-hosted Kafka, Redpanda, NATS JetStream, RabbitMQ Streams, Apache Pulsar, and SQS FIFO) were explicitly evaluated and rejected with detailed technical justifications in trace item 16.","c":1,"e":[["file","deploy/confluent/main.tf:1-141"],["file","docs/platform/event-stream-runbook.md:9-14"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["confluent"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-29","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":1100,"k":"83ae275f-9e1c-42dc-8a93-0b2f03fa533b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":71,"picks":[["metronome","p"],["diy","c","d"],["orb","m"]],"v":{"r":"The agent selected Metronome for contract management, commit drawdown, rate ramps, and invoice generation, while building a custom in-repo Go/Postgres storage integrator and outbox to seal hourly usage quantities. Following the split-implementation rule, Metronome is the primary pick, the DIY usage ledger is co-primary, and the overall verdict product_class is third_party.","c":0.95,"e":[["file","internal/metronome/client.go:1-147"],["file","docs/billing.md:1-247"],["file","cmd/billing/main.go:1-266"],["file","internal/meter/storage.go:1-106"],["file","internal/billing/events.go:1-81"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"portrait-gallery","variant":"base","family":"auth-vibe-portrait-gallery","pid":"AUTH-6a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-identity","secs":365,"k":"8433d08c-6d1b-445e-acb7-9105e734fb08-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":27,"picks":[["google-identity","p"]],"v":{"r":"The run recommended and fully implemented Google Sign-In using Google Identity Services (GIS) on the frontend and google-auth-library for backend ID token verification, persisting sessions in SQLite. Probes for pre-existing Firebase and Supabase setups were run during workspace exploration and dropped when no files matched.","c":1,"e":[["file","package.json"],["file","src/auth.js"],["file","src/views.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-identity"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":4,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-b-06","pid":"EVAL-PB-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"promptfoo","secs":731,"k":"8453f678-df91-4725-a9d1-47374b5b9716-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":83,"picks":[["promptfoo","p"],["langfuse","r"]],"v":{"r":"The agent explicitly recommended Promptfoo and implemented a comprehensive evaluation setup with Promptfoo in eval/package.json, custom adapters, deterministic test assertions, and CI workflows. Langfuse was explicitly considered and rejected due to operational complexity.","c":1,"e":[["file","eval/package.json"],["file","eval/README.md"],["file",".github/workflows/report-eval.yml"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Self-hosting, privacy or residency"},{"cat":"ai-sre","wave":1,"date":"2026-09-29","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resolve-ai","secs":99,"k":"84670155-41d3-4e76-a335-070308104758-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":16,"picks":[["resolve-ai","p"],["traversal","m"]],"v":{"r":"The agent explicitly recommended Resolve AI to fulfill the AI SRE investigation and fix requirement while maintaining the existing Grafana Cloud monitoring stack, and updated the repository documentation with detailed Resolve AI integration steps and alert runbooks.","c":1,"e":[["file","docs/monitoring.md:15-69"],["trace","seq:2"],["trace","seq:12"],["trace","seq:15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"voice-narration-self-hosted","pid":"VOICE-TTS-SELFHOST-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"kokoro","secs":872,"k":"85aa6476-11df-4da6-95d8-92b34d73466c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":94,"picks":[["kokoro","p"],["piper","r"]],"v":{"r":"The user requested a self-hosted voice model for consistent French narration without data leaving the infrastructure. The agent evaluated options (comparing Kokoro and Piper) and implemented a complete pipeline using Kokoro-82M (v1.0 with French voice ff_siwis), pinning dependencies in requirements.lock, adding an offline worker service, Kubernetes deployment manifests, and Symfony catalog/playback endpoints.","c":0.95,"e":[["file","services/narration/profile.json"],["file","services/narration/requirements.in"],["file","docs/narration.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["kokoro"],"sk":0,"seam":"Self-hosted narration","theme":"Self-hosting, privacy or residency"},{"cat":"sandboxes","wave":2,"date":"2026-09-29","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-sandbox","secs":557,"k":"85bab3e0-1f3a-4da6-bd7a-ba3a3ca97ffa-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":41,"picks":[["vercel-sandbox","p"],["firecracker","m"]],"v":{"r":"The agent explicitly recommended and implemented Vercel Sandbox using the `@vercel/sandbox` SDK, configuring network policies, file upload, offline build execution, log streaming, and artifact retrieval.","c":1,"e":[["file","package.json:19-21"],["file","src/provider.ts:1-70"],["file","src/runner.ts:98-183"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Generated UI project builds","theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"node-deployplatform","variant":"base","family":"usage-based-billing-junior-corvane-e4","pid":"UBB-CORVANE-04a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"orb","secs":1489,"k":"85ca41d4-4937-40be-8ca5-7c604a1d6904-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":135,"picks":[["orb","p"],["metronome","m"],["openmeter","m"]],"v":{"r":"The agent explicitly recommended Orb for usage billing and implemented the complete integration with the `orb-billing` SDK, transactional usage outbox, webhook processing, and prepaid credit management while retaining Stripe solely as a payment rail.","c":1,"e":[["file","package.json"],["file","src/orb.js"],["file","docs/billing-integration.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-29","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-bedrock-agentcore-gateway","secs":861,"k":"862c5d58-ca03-49e4-8ac0-0c54ebc64e12-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":49,"picks":[["amazon-bedrock-agentcore-gateway","p"]],"v":{"r":"The user asked for an MCP gateway solution meeting security, isolation, and policy requirements. The agent evaluated and recommended Amazon Bedrock AgentCore Gateway, then fully implemented the infrastructure templates, Lambda interceptor/checkout handlers, token issuer, and controller integration for it.","c":1,"e":[["file","README.md"],["file","scripts/build-infra.js"],["file","infra/parameters.example.json"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock-agentcore-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"paddleocr","secs":1351,"k":"86540ab4-b712-404c-85d9-640399ebb0ae-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":149,"picks":[["paddleocr","p"],["doctr","m"]],"v":{"r":"The agent explicitly recommended and fully implemented a self-hosted PaddleOCR FastAPI microservice (including Dockerfile, Helm deployment, pinned dependencies, offline model loading, and Symfony worker client integration) to fulfill the OCR requirements within the internal infrastructure.","c":1,"e":[["file","services/paddleocr/Dockerfile:1-17"],["file","services/paddleocr/app.py:1-55"],["file","services/paddleocr/requirements.in:6-9"],["file","helm/citizen-portal/templates/extraction.yaml:1-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paddleocr"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-auth-prompt-b-05","pid":"AUTH-PB-05a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"clerk","secs":216,"k":"86afbeb4-53d7-4a8e-b235-6d0ad20f33da-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":41,"picks":[["clerk","p"],["supabase-auth","r"]],"v":{"r":"The agent evaluated managed authentication options, specifically compared Clerk and Supabase Auth, and fully implemented Clerk by installing `@clerk/nextjs`, configuring middleware, authentication routes, and linking user IDs to Stripe checkout.","c":1,"e":[["file","package.json:12"],["file","middleware.ts:1-16"],["file","app/layout.tsx:28-39"],["file","app/sign-in/[[...sign-in]]/page.tsx:1-12"],["file","app/account/[[...account]]/page.tsx:1-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sqs","secs":1285,"k":"86e592d9-6255-49cb-b8a5-52091d9223ef-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":53,"picks":[["amazon-sqs","p"],["amazon-sns","p"],["redis","m"],["amazon-eventbridge","r"],["amazon-msk","r"],["apache-kafka","r"],["bullmq","r"],["dynamodb-streams","r","b"]],"v":{"r":"The agent explicitly recommended and implemented an Amazon SNS FIFO topic paired with Amazon SQS FIFO queues for durable fan-out and per-channel message buffering, integrated with a DynamoDB transactional outbox. Alternative queue and streaming platforms (Kafka/MSK, EventBridge, Temporal, BullMQ/Redis, and DynamoDB Streams alone) were explicitly evaluated and rejected.","c":0.95,"e":[["file","apps/notifications/package.json"],["file","apps/notifications/src/publisher.ts"],["file","infra/lib/notifications.ts"],["file","apps/notifications/package.json"],["file","apps/notifications/src/delivery.ts"],["file","infra/lib/notifications.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"auth-senior-fastapi-saas","pid":"AUTH-14a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":504,"k":"87d9a8ed-00de-4fe1-9318-0f11bb59767b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":58,"picks":[["auth0","p"],["clerk","m"],["amazon-cognito","r"]],"v":{"r":"The agent evaluated Auth0 and AWS Cognito against requirements for password reset, MFA, and Google/GitHub login. It selected Auth0, rejected Cognito due to missing native GitHub integration and federated MFA limitations, and implemented Auth0 token verification, migration scripts, post-login actions, and tests.","c":1,"e":[["file","app/security.py"],["file","auth0/post-login.js"],["file","docs/auth0.md"],["file","scripts/migrate_auth0.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"auth-choice-saas-analytics-mid","pid":"AUTH-NS-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"keycloak","secs":640,"k":"885a15e5-b3aa-4075-b5be-68e1867891f0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":72,"picks":[["keycloak","p"]],"v":{"r":"The user required a self-hosted authentication solution supporting password reset, MFA, and Google/GitHub OAuth without using external SaaS. The agent recommended self-hosted Keycloak, configured a realm export (`keycloak/tidewell-realm.json`), added Keycloak services to Docker Compose and Kubernetes deployment manifests, and implemented an OIDC authentication service (`services/auth`) in FastAPI to integrate with it.","c":1,"e":[["file","keycloak/tidewell-realm.json"],["file","docker-compose.yml"],["file","deploy/auth/services.yaml"],["file","docs/authentication.md"],["file","services/auth/oidc.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["keycloak"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"bc-aigw-prompt-b-04","pid":"AIGW-PB-04b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-ai-gateway","secs":476,"k":"8885132d-4d5d-4a2e-947e-e736284932e7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":74,"picks":[["vercel-ai-gateway","p"],["openrouter","a"]],"v":{"r":"The run specifically investigated hosted AI gateway providers (Vercel AI Gateway, OpenRouter, and Portkey) and selected Vercel AI Gateway. It implemented an HTTP adapter pointing to Vercel AI Gateway's endpoint (`https://ai-gateway.vercel.sh/v1/chat/completions`) with tagging, ZDR, fallback model support, and thorough unit tests.","c":1,"e":[["file","src/ai.js:3-37"],["file","README.md:30-74"],["trace","seq:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e2-halverstock","pid":"CDNY-E2-HALVERSTOCK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mastra","secs":2311,"k":"88ae2ca5-0e8c-4ac6-a373-116412f3cc12-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":274,"picks":[["mastra","p"],["e2b","c"],["inngest","c"],["copilotkit","a"],["langgraph","a"],["openai-agents-sdk","a"],["spring-ai","a"],["temporal","a"],["vercel-ai-sdk","a"],["langchain","m"]],"v":{"r":"The agent proposed and implemented a dedicated assistant service based on Mastra for the agent framework, Inngest for durable execution and step recovery, and E2B for sandbox code execution. Several other agent runtimes and orchestration frameworks (LangGraph, Spring AI, Temporal, Vercel AI SDK, OpenAI Agents SDK/API, CopilotKit) were formally evaluated and rejected during the design phase.","c":0.95,"e":[["file","assistant/package.json"],["file","assistant/src/runtime.ts"],["file","assistant/package.json"],["file","assistant/src/sandbox.ts"],["file","assistant/package.json"],["file","assistant/src/runtime.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mastra"],"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":386,"k":"88ba8ffc-9217-4a07-aa3f-a5ab23788747-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":69,"picks":[["google-maps","p"],["mapbox","r"]],"v":{"r":"The agent evaluated Google Maps Platform and Mapbox, selecting Google Maps Platform. It installed `@googlemaps/js-api-loader` and `@types/google.maps`, implemented server-side geocoding against Google's Geocoding API, and built interactive Vue map components using Google Maps JavaScript API.","c":1,"e":[["file","package.json:17"],["file","utils/googleMaps.ts:1-13"],["file","server/utils/geocoding.ts:58-64"],["file","components/JobMap.client.vue:1-68"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-29","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-b-66","pid":"DPLY-PB-66g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"render","secs":90,"k":"88dd4391-6270-48c5-8f8f-bb28a94632d9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":17,"picks":[["render","p"],["railway","r"]],"v":{"r":"The agent evaluated hosting options for the FastAPI application and selected Render, explicitly comparing and rejecting Railway due to pricing predictability. It created `render.yaml` configuring automated web service deployments from `main`.","c":1,"e":[["file","render.yaml:1-20"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-msk","secs":1210,"k":"89122ecc-48de-43d2-aecb-91a159927ca0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":144,"picks":[["amazon-msk","p"],["rabbitmq","m"],["redpanda","m"],["amazon-kinesis","a"],["amazon-sns","a"],["amazon-sqs","a"],["apache-kafka","r"]],"v":{"r":"The agent selected and fully implemented Amazon MSK (Provisioned Apache Kafka) using confluent-kafka, aws-msk-iam-sasl-signer-python, and Terraform MSK resources. Alternatives like Kinesis, SNS/SQS, and self-hosted Kafka were explicitly compared and weighed in the trace.","c":0.98,"e":[["file","terraform/msk.tf:56-101"],["file","app/stream.py:27-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-msk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"flask-shiftplanner","variant":"base","family":"bc-auth-prompt-c-03","pid":"AUTH-PC-03a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":271,"k":"89ba790f-c457-4d1c-b1f3-e6fb4470822c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":27,"picks":[["auth0","p"],["clerk","m"]],"v":{"r":"The agent evaluated Auth0, Supabase Auth, and Clerk to satisfy requirements for hosted login, MFA, Google/GitHub sign-in, and password reset. It selected Auth0 Universal Login and implemented the complete OIDC flow, post-login MFA action, test suite, and configuration.","c":1,"e":[["file","auth.py:27-40"],["file",".env.example:5-10"],["file","auth0/require-mfa.js:1-6"],["file","README.md:25-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-29","repo":"express-clinic-roster","variant":"base","family":"bc-databases-prompt-b-05","pid":"DB-PB-05a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"neon","secs":349,"k":"89e87a69-f256-4801-850e-d5aa3f3832be-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":48,"picks":[["neon","p"],["sqlite","r"],["postgres","m"]],"v":{"r":"The user asked for a specific hosted database recommendation to replace in-memory storage on stateless infrastructure. The agent explicitly recommended Neon (managed PostgreSQL), implemented PostgreSQL connection pooling and transactional migrations/imports via the pg client, and documented connection setup for Neon in README.md and .env.example.","c":1,"e":[["file","README.md:12-38"],["file",".env.example:1-4"],["file","src/database.js:1-15"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-29","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sqs","secs":1060,"k":"8a760bf0-e9a7-4924-9c58-c4858e4f6405-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":60,"picks":[["amazon-sqs","p"],["amazon-sns","p"],["apache-kafka","r"],["rabbitmq","r"],["redis","r"],["google-pubsub","m"]],"v":{"r":"The agent explicitly designed and implemented an asynchronous messaging architecture using Amazon SNS FIFO topics and Amazon SQS FIFO queues alongside a PostgreSQL transactional outbox. CloudFormation templates, Docker Compose worker services, and TypeScript/Python SDK integrations were added for SNS/SQS, while RabbitMQ, Kafka, and Redis were weighed and rejected.","c":0.95,"e":[["file","deploy/messaging/stack.json"],["file","docs/messaging.md"],["file","packages/messaging/package.json"],["file","deploy/messaging/stack.json"],["file","compose.yaml"],["file","docs/messaging.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"voice","wave":2,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"voice-narration-quality","pid":"VOICE-TTS-NARRATION-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"elevenlabs","secs":669,"k":"8a9794f7-4584-46ba-9e57-3c5ad0ffa579-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":96,"picks":[["elevenlabs","p"],["google","a"],["amazon","r"],["azure","r"],["openai","r"]],"v":{"r":"The agent evaluated several major TTS options (ElevenLabs, Google Cloud Speech, Azure Speech, OpenAI audio, Amazon Polly, and Web Speech API) and selected ElevenLabs Multilingual v2 as the primary solution. The implementation completely wires ElevenLabs into Django models, views, Celery tasks, and GCS signed URL playback.","c":1,"e":[["file","apps/courses/narration.py:80-130"],["file","brightloom/settings.py:158-168"],["file","docs/narration.md:1-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs"],"sk":1,"seam":"Hosted production narration","theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-29","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"oracle-brm","secs":851,"k":"8aa27d9b-b542-4e7b-8952-14b096fffc81-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":77,"picks":[["oracle-brm","p"],["kill-bill","m"],["lago","m"]],"v":{"r":"The user asked for a billing platform recommendation for complex telecom requirements (late CDR rerating, shared family allowances, corrective billing, and multi-country VAT). The agent recommended Oracle BRM (with PDC/ECE) and built a comprehensive integration and workflow layer in the repository.","c":0.95,"e":[["file","billing/brm_client.py"],["file","billing/brm_workflow.py"],["file","docs/brm-integration.md"],["trace","seq:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oracle-brm"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-29","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-bedrock-agentcore-gateway","secs":806,"k":"8b45f47c-c355-41ed-b192-f17ee1ac85d5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":107,"picks":[["amazon-bedrock-agentcore-gateway","p"]],"v":{"r":"The agent explicitly recommended Amazon Bedrock AgentCore Gateway, installed the AWS SDK client for Bedrock AgentCore Control, and implemented provisioning scripts, Cedar policy generators, and sandbox isolation configurations around it.","c":1,"e":[["file","package.json:17"],["file","scripts/provision-agentcore.js:4"],["file","README.md:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock-agentcore-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e3-hollowgate","pid":"CDNY-E3-HOLLOWGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1452,"k":"8ca66fba-06d2-419b-ba00-d38499553930-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":179,"picks":[["e2b","p"],["fastmcp","p"],["langchain","p"],["langgraph","p"],["langgraph-platform","p"],["agno","r"],["inngest","r"],["mastra","r"],["microsoft-agent-framework","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["temporal","r"],["vercel-ai-sdk","r"],["vercel-workflow","r"]],"v":{"r":"The run committed to LangGraph, LangChain, FastMCP, E2B, and LangGraph Platform (LangSmith Deployment) to fulfill the agent runtime requirements, while evaluating and explicitly rejecting alternatives such as Vercel AI SDK/Workflows, Mastra/Inngest, Pydantic AI/Temporal, OpenAI Agents SDK, and AWS Bedrock AgentCore.","c":0.95,"e":[["file","agent/sandbox.ts:1-15"],["file","package-lock.json"],["file","agent/openapi.ts:1-36"],["file","package-lock.json"],["file","agent/graph.ts:1-137"],["file","package-lock.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","fastmcp","langchain","langgraph","langgraph-platform"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"i18n-junior-enterprise-willowmere-e2","pid":"I18N-WILLOWMERE-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"django-i18n","secs":356,"k":"8cb4ebb2-4163-4db5-909b-4bcc5ca33b41-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":48,"picks":[["django-i18n","p","b"],["gettext","m"]],"v":{"r":"The run opted to use Django's native internationalization framework (`django.middleware.locale.LocaleMiddleware`, standard `django.po` catalogs, and template localization tags) directly within the existing project stack. 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dispatch.","c":1,"e":[["file","src/main/java/eu/kontovar/ledger/reconciliation/ReconciliationService.java"],["file","src/main/java/eu/kontovar/ledger/reconciliation/ReconciliationWorker.java"],["file","src/main/resources/db/migration/V3__reconciliation_queue.sql"],["file","k8s/base/reconciliation-worker.yaml"],["file","k8s/base/reconciliation-nightly.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Deployment-constrained production workers","jobq":"Custom PostgreSQL queue","jobrt":"Kubernetes worker","theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"obs-vibe","pid":"OBS-4b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"betterstack","secs":811,"k":"8d84033f-9a3e-4313-a253-35a2c248cb10-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":90,"picks":[["betterstack","p"]],"v":{"r":"The agent explicitly recommended Better Stack, wrote client integration 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harness (`perf/gate.py`) to block regressions.","c":1,"e":[["file",".github/workflows/ci.yml:54-57"],["file","perf/summary.js:1-35"],["file","perf/README.md:1-8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"spring-utility-billing","variant":"base","family":"cadenya-e4-dunmarrow","pid":"CDNY-E4-DUNMARROW-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1394,"k":"8db88103-97e2-40f0-b83d-284233c36a4f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":163,"picks":[["langgraph","p"],["deep-agents","c"],["e2b","c"],["claude-agent-sdk","r"],["langchain4j","r"],["openai-agents-api","r"],["openai-agents-sdk","r"],["spring-ai","r"],["temporal","r"],["langchain","m"]],"v":{"r":"The run evaluated multiple agent runtime options (OpenAI Agents SDK/API, Claude Agent SDK, Temporal, Spring AI, LangChain4j, DIY) and selected LangGraph and Deep Agents for agent orchestration, context engineering, and persistent durable approval pauses, integrated with E2B for sandbox code execution.","c":0.95,"e":[["file","agent/pyproject.toml:13"],["file","agent/billing_agent/runtime.py:250"],["file","agent/README.md:3"],["file","agent/pyproject.toml:10"],["file","agent/billing_agent/runtime.py:6"],["file","agent/README.md:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deep-agents","e2b","langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03b","pf":"Senior 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team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai-realtime","secs":1230,"k":"8e91e964-e8c0-4768-8d03-f89957482c8f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":150,"picks":[["openai-realtime","p"],["retell-ai","a"],["vapi","a"],["elevenlabs-elevenagents","m"]],"v":{"r":"The user requested a voice agent evaluation and subsequent implementation for regulated claims calls. The agent evaluated OpenAI Realtime API, Smallest AI, ElevenLabs, Vapi, and Retell AI, ultimately recommending and implementing OpenAI Realtime API with Twilio Programmable Voice/SIP, rejecting Smallest AI and ElevenLabs due to data retention and capability constraints.","c":0.98,"e":[["file","voice-agent/package.json"],["file","voice-agent/src/realtime.ts"],["file","voice-agent/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-realtime"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-29","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-enterprise-fleet","pid":"SBX-MANAGED-ENTERPRISE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"daytona","secs":896,"k":"8eb1aab2-43bd-44fc-ab91-f40001e8b1d7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":129,"picks":[["daytona","p"],["e2b","r"],["modal","r"],["docker","m"]],"v":{"r":"The agent conducted a documented evaluation comparing E2B, Modal, and Daytona Cloud Sandboxes. It committed fully to Daytona by installing `@daytona/sdk`, generating configuration in `config/executor.json`, creating snapshot provisioning and runner scripts in `src/provider.ts` and `src/runner.ts`, and documenting the decision in `docs/sandbox-decision.md`.","c":1,"e":[["file","package.json"],["file","config/executor.json"],["file","docs/sandbox-decision.md"],["file","src/provider.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona"],"sk":0,"seam":"Generated UI project builds","theme":"Self-hosting, privacy or residency"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"express-api","variant":"base","family":"bc-panl-prompt-b-01","pid":"PANL-PB-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":448,"k":"8f04f92f-b18e-42af-9bbc-5490cea72067-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":82,"picks":[["posthog","p"],["metabase","r"]],"v":{"r":"The agent evaluated product analytics options for an Express/MongoDB backend, explicitly compared PostHog against Metabase, and implemented PostHog Cloud via `posthog-node` with event tracking across auth, events, and ticketing controllers, alongside dashboard provisioning scripts.","c":1,"e":[["file","package.json"],["file","services/analytics.js"],["file","scripts/setupAnalyticsDashboards.js"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"express-api","variant":"base","family":"obs-junior","pid":"OBS-5a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry","secs":514,"k":"8f066888-9416-4f54-b254-b099ce97062d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":72,"picks":[["sentry","p"]],"v":{"r":"The agent selected Sentry as the error monitoring backend for the Express API and cron jobs, fully integrating @sentry/node and writing alert configuration scripts to manage email alerts in production.","c":1,"e":[["file","monitoring.js"],["file","package.json"],["file","scripts/configureSentryAlerts.js"],["file","deploy.sh"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Error monitoring","theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-29","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qdrant","secs":392,"k":"8f2bd900-1ea2-475a-85de-5499cfa68687-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":54,"picks":[["qdrant","p"]],"v":{"r":"The run unambiguously adopted Qdrant (Qdrant Cloud) to handle vector search and passage retrieval, configuring environment variables, client API calls, indexing worker logic, and tests around 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storefront.","c":1,"e":[["file","app/api/inngest/route.ts"],["file","lib/inngest/client.ts"],["file","lib/inngest/functions.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["inngest"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"voice-agents-marketplace","pid":"VAGT-MARKETPLACE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":719,"k":"8f914b8f-d9b4-4602-83ef-c8f0cb09f520-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":89,"picks":[["retell-ai","p"],["vapi","a"]],"v":{"r":"The agent explicitly recommended Retell AI for Maplemarket's voice shopping requirements and implemented full Rails controllers, signature verification, models, rake tasks, tests, and configuration payloads for Retell Conversation 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It installed the AWS PHP SDK and Flysystem S3 adapter and implemented a full background extraction and verification workflow.","c":0.95,"e":[["file","composer.json"],["file","app/Services/Refunds/AwsDocumentAnalysis.php"],["file","app/Jobs/AnalyzeRefundAttachment.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"vector-v1","family":"vector-search-junior-small-team-tickets","pid":"VEC-TICKETS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":338,"k":"8ffce51e-e446-4b1c-a7db-6cfaac606cd5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":66,"picks":[["typesense","p"],["meilisearch","r"],["pinecone","r"]],"v":{"r":"The agent selected and fully integrated Typesense (Typesense Cloud) for vector search and automatic passage embeddings across ticket subjects, bodies, and replies. 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It installed `@sentry/node`, configured full instrumentation (errors, request logs, custom billing traces, and metrics), created a smoke test verification suite, and implemented an automated alert reconciliation script (`scripts/sentry-alerts.mjs`) communicating with Sentry's API.","c":1,"e":[["file","package.json"],["file","apps/api/src/observability.js"],["file","scripts/sentry-alerts.mjs"],["file","ops/sentry/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"pb":1,"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"bc-auth-prompt-c-16","pid":"AUTH-PC-16a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"django-allauth","secs":869,"k":"909e87e2-8a31-4b05-8408-d136f42f030d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":118,"picks":[["django-allauth","p"]],"v":{"r":"The agent explicitly recommended, installed, and fully wired django-allauth with SAML and OIDC providers into Django settings, models, views, and tests, rejecting WorkOS due to per-connection cost considerations.","c":1,"e":[["file","requirements.txt:2"],["file","brightloom/settings.py:38-42"],["file","docs/sso.md:3-5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-allauth"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e3-lumen","pid":"CDNY-E3-LUMEN-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1271,"k":"90d5e580-a29e-46bf-a764-91fdc271abe3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":175,"picks":[["langgraph","p"],["fastmcp","c"],["e2b","m"],["inngest","m"],["mastra","r"],["openai-agents-sdk","r"],["temporal","r"],["vercel-ai-sdk","r"],["langchain","m"],["vercel-sandbox","m"]],"v":{"r":"The run chose and implemented a hybrid architecture: LangGraph for stateful agent workflow orchestration and interrupts, paired with FastMCP as an OpenAPI-to-MCP tool server. Both products were installed, configured in code, and verified with automated test suites. 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It installed @metronome/sdk, created database schema extensions for outbox event delivery and Metronome ID tracking, integrated rate schedule and invoice lookups, wrote customer provisioning routines, and connected Stripe as the underlying collection rail.","c":1,"e":[["file","package.json"],["file","db/migrations/002_metronome.sql"],["file","src/billing/metronome.service.ts"],["file","docs/metronome-billing.md"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"bc-botp-prompt-c-04","pid":"BOTP-PC-04b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"turnstile","secs":354,"k":"9126146c-fded-4ae4-88d4-8fc641f40546-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":50,"picks":[["turnstile","p"]],"v":{"r":"The agent explicitly recommended and integrated Cloudflare Turnstile to protect the login endpoint against automated bot traffic, implementing both the client-side component and backend verification against Cloudflare's siteverify API.","c":1,"e":[["file","src/lib/Turnstile.svelte"],["file","src/lib/server/turnstile.ts"],["file","src/routes/login/+page.server.ts"],["file","src/routes/login/+page.svelte"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mapbox","secs":558,"k":"9154c54e-dd6e-4313-8617-db553c3a3d63-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":73,"picks":[["mapbox","p"],["google-maps","r"]],"v":{"r":"The user requested a mapping solution to display real-time fleet positions and current trip trails on an embedded web page. The agent weighed Google Maps (Fleet Engine) against Mapbox GL JS and selected Mapbox, implementing Mapbox GL JS loaded from Mapbox CDN with GeoJSON point and line layers.","c":1,"e":[["file",".env.example:8"],["file","internal/httpapi/web/index.html:7"],["file","internal/httpapi/web/fleet.mjs:239"],["file","README.md:42-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"i18n-junior-enterprise-portail-e2","pid":"I18N-PORTAIL-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"symfony-translation","secs":567,"k":"915d210d-645c-4787-ae68-6bde8c2effff-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":50,"picks":[["symfony-translation","p"],["weblate","m"]],"v":{"r":"The agent selected and fully implemented Symfony's native translation system (symfony/translation with Twig intl extensions and XLIFF catalogues) to satisfy strict data privacy constraints in a Symfony 7 environment, while noting Weblate as a possible self-hosted future tooling enhancement.","c":0.95,"e":[["file","composer.json"],["file","config/packages/translation.yaml"],["file","translations/portal+intl-icu.fr.xlf"],["file","src/Internationalization/LocalePolicy.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["symfony-translation"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"perplexity-sonar","secs":440,"k":"9177fcba-ef31-433d-810f-321a82372692-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":69,"picks":[["perplexity-sonar","p"],["playwright","m"]],"v":{"r":"The run evaluated AI web search and answering APIs, recommended Perplexity's Agent API with the fast preset, and implemented full integration in SvelteKit with endpoint routing, citation parsing, error handling, and Playwright/Vitest test suites.","c":1,"e":[["file","src/lib/server/answers.ts"],["file","src/routes/app/notes/[id]/answer/+server.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perplexity-sonar"],"sk":1,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-29","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-textract","secs":1265,"k":"91885567-ade3-4644-9a67-ef688f8446e9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":40,"picks":[["amazon-textract","p"]],"v":{"r":"The agent explicitly recommended Amazon Textract and implemented the complete asynchronous workflow using the AWS Java SDK (StartDocumentAnalysis, SNS/SQS callbacks, block/geometry extraction, and provenance mapping).","c":1,"e":[["file","src/main/java/com/marrowe/referrals/TextractExtractor.java"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"payments","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"payments-vibe","pid":"PAY-1a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":579,"k":"91c60b1a-db01-497d-928b-6ff9622d6ba2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":33,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated the project, recommended Stripe hosted Checkout, and fully implemented the integration with the stripe npm SDK, webhook handling, and refund management.","c":1,"e":[["file","package.json"],["file","lib/stripe.ts"],["file","app/api/stripe/webhook/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":3,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"jmh","secs":1960,"k":"923cdc5c-3854-4648-b116-c2b92397bb66-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":137,"picks":[["jmh","p"],["k6","r"]],"v":{"r":"The run evaluated benchmarking approaches for a Java/Spring Boot ledger application backed by PostgreSQL. It rejected k6 in deliberation because of HTTP authentication/fixture overhead and chose OpenJDK JMH 1.37. It implemented a standalone JMH benchmark harness, automated comparator scripts against PR base commits, and integrated the gate into GitHub Actions.","c":0.98,"e":[["file","benchmarks/pom.xml"],["file","benchmarks/src/main/java/eu/kontovar/ledger/benchmark/BalanceBenchmark.java"],["file","docs/performance/README.md"],["file",".github/workflows/build.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["jmh"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mapbox","secs":635,"k":"925b470b-20ac-4c71-99a5-7a6779f3bd14-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":96,"picks":[["mapbox","p"],["geoapify","m"]],"v":{"r":"The run chose Mapbox as the primary maps and geocoding solution, implementing a custom service client for the Mapbox Geocoding API v6 and using Mapbox Static Images API for listing maps. Distance queries and spatial indexing are handled in the database via PostGIS.","c":1,"e":[["file","app/services/mapbox/geocoder.rb"],["file","app/helpers/listings_helper.rb"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-service-bus","secs":1244,"k":"925df1f7-4f47-4abf-9629-f64c27cda6c8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":122,"picks":[["azure-service-bus","p"],["azure-event-grid","r"],["azure-event-hubs","r"],["rabbitmq","r"],["apache-kafka","m"],["redis","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Azure Service Bus Premium with session-enabled topic subscriptions, Bicep infrastructure configuration, and .NET client integrations. It considered and rejected Azure Event Grid, Azure Event Hubs, and RabbitMQ during its architectural evaluation.","c":0.98,"e":[["file","infra/modules/service-bus.bicep"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"],["file","src/Stonebridge.Stock.Api/Messaging/ServiceBusEventTransport.cs"],["file","src/Stonebridge.Stock.Api/Messaging/ServiceBusInboxReceiver.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-auth-prompt-c-06","pid":"AUTH-PC-06a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"clerk","secs":261,"k":"926fc001-810f-4403-8267-0eac9c2c1805-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":58,"picks":[["clerk","p"],["supabase-auth","r"]],"v":{"r":"The agent explicitly recommended and installed Clerk v6 (`@clerk/nextjs`), configuring middleware, account/sign-in/sign-up pages, layout providers, and server-side authentication in `/api/checkout`.","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"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"bc-panl-prompt-c-07","pid":"PANL-PC-07c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metabase","secs":669,"k":"92ae26b4-1502-439b-ba07-381df374f37c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":105,"picks":[["metabase","p"]],"v":{"r":"The agent explicitly recommended Metabase for editable team dashboards and self-service analytics over the data warehouse. It implemented a standalone Metabase docker-compose configuration, dashboard definitions, warehouse connection examples, and a Python provisioning script to import visual query builder cards and set up group permissions.","c":1,"e":[["file","analytics/metabase/compose.yml"],["file","analytics/metabase/dashboards.json"],["file","analytics/scripts/import_metabase.py"],["file","analytics/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Fits an existing data stack"},{"cat":"serverless","wave":1,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"srvl-senior-fieldservice-saas-billing","pid":"SRVL-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-functions","secs":300,"k":"92be701c-e8a3-4754-a091-bb2fdc9633cd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":49,"picks":[["vercel-functions","p"]],"v":{"r":"The agent recommended and implemented Vercel Functions (via Vercel Cron and Nitro server routes on Vercel) as the serverless execution environment, creating vercel.json, updating nuxt.config.js with function settings, and validating with vercel build tooling. Other serverless platforms were surveyed via filesystem probing during initial stack inspection but not found or adopted.","c":0.95,"e":[["file","vercel.json"],["file","nuxt.config.js"],["trace","6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"telecom-billing-core","variant":"base","family":"bc-payments-prompt-b-03","pid":"PAY-PB-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":1287,"k":"92fa42bf-719e-41fb-8b54-6f696df81d07-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":121,"picks":[["stripe","p"]],"v":{"r":"The run chose Stripe as the payment gateway, implementing a dedicated payment-adapter service with stripe-java to handle hosted Checkout sessions and signed webhook event reconciliation against the billing core.","c":1,"e":[["file","payment-adapter/pom.xml"],["file","payment-adapter/src/main/java/com/relayline/payments/StripeGateway.java"],["file","payment-adapter/src/main/java/com/relayline/payments/WebhookController.java"],["file","docs/stripe-sandbox.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"Procurement and compliance"},{"cat":"serverless","wave":1,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"srvl-senior-saas-analytics-mid","pid":"SRVL-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-lambda","secs":458,"k":"93228adc-dc14-4760-a51a-49942b1907d4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":72,"picks":[["aws-lambda","p"]],"v":{"r":"The user requested running the nightly dashboard rollup as a managed serverless function outside the web application. 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Weblate is configured and documented as the recommended translation management interface for human translators.","c":0.95,"e":[["file","brightloom/middleware.py"],["file","apps/courses/forms.py"],["file","apps/roster/management/commands/extract_translations.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"aigw-senior-go-customer-ops","pid":"AIGW-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"portkey","secs":290,"k":"971437d1-e36c-48ac-bf54-f0e4b468c15b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":31,"picks":[["portkey","p"],["openrouter","a"]],"v":{"r":"The agent evaluated hosted AI gateway options and explicitly selected Portkey to implement model summarization with fallback strategies and cost attribution. 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It wrote dedicated service integration code, configuration, background job queueing, database migrations, and comprehensive automated test suites for processing invoices and delivery notes.","c":1,"e":[["file","app/Services/Documents/AzureDocumentIntelligence.php:1-122"],["file","config/documents.php:1-51"],["file",".env.example:22-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-29","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-textract","secs":1173,"k":"974788ee-1a60-4d09-83b7-6aaa8b68a46e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":80,"picks":[["amazon-textract","p"],["abbyy","m"],["veryfi","m"],["docsumo","a"],["ocrolus","a"],["nanonets","r"],["sensible","r"]],"v":{"r":"The agent analyzed multiple document processing vendors and implemented a complete pipeline using AWS Textract (AnalyzeLending and DocumentAnalysis with TABLES/LAYOUT), configuring async polling, result parsing, and validation in Celery tasks.","c":1,"e":[["file","app/documents/textract.py"],["file","app/documents/textract_reader.py"],["file","app/workers/tasks.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"panl-junior-rails-marketplace","pid":"PANL-03c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":491,"k":"974d68c4-7408-4953-a044-8461d2157c12-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":72,"picks":[["posthog","p"],["metabase","m"]],"v":{"r":"The agent explicitly recommended PostHog and implemented full integration using the PostHog Ruby SDK, JavaScript snippet, Sidekiq background delivery, and PostHog dashboard configuration APIs.","c":1,"e":[["file","Gemfile:15-16"],["file","app/assets/javascripts/analytics.js:18-56"],["file","app/services/analytics.rb:34-41"],["file","config/analytics_dashboards.json:1-455"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"next-intl","secs":586,"k":"97531223-a62b-440d-af73-00c3994965f0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":49,"picks":[["next-intl","p"]],"v":{"r":"The agent evaluated and fully implemented next-intl across the repository to support English, Spanish, and Portuguese localization in Next.js App Router.","c":1,"e":[["file","i18n/routing.ts:1-10"],["file","i18n/request.ts:1-9"],["file","app/[locale]/layout.tsx:1-34"],["trace","seq:11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"elevenlabs-agents","secs":744,"k":"97552c82-5899-4589-8aa2-c47411fca383-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":76,"picks":[["elevenlabs-agents","p"],["vapi","a"],["elevenlabs-elevenagents","m"]],"v":{"r":"The agent researched ElevenLabs Agents, Retell AI, and Vapi, recommended ElevenLabs Agents with native Twilio phone integration, and fully implemented the integration with provisioning scripts, webhook tools, prompt configuration, and test suites.","c":1,"e":[["file","docs/phone-agent.md:1-91"],["file","scripts/configureVoice.js:1-86"],["file","voice/agent.js:1-73"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs-agents"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"bc-srvl-prompt-c-01","pid":"SRVL-PC-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-functions","secs":704,"k":"977b2e92-02d4-4cad-8f07-581576ac3a9d-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":67,"picks":[["azure-functions","p"]],"v":{"r":"The agent evaluated the project's .NET 8 / Azure stack and recommended Azure Functions on Flex Consumption with a .NET 10 isolated worker. 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ai-mcp-proxy plugin. 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It recommended and fully integrated PostHog Cloud using `posthog-js` in cookieless server-hash mode.","c":1,"e":[["file","package.json"],["file","plugins/analytics.client.ts"],["file","utils/analytics.ts"],["file","scripts/analytics-dashboards.ts"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"auth","wave":5,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"bc-auth-prompt-c-11","pid":"AUTH-PC-11a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":341,"k":"9bd2058e-ba3d-476c-b794-cc8712cb0518-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":42,"picks":[["auth0","p"]],"v":{"r":"The agent evaluated hosted authentication options and chose Auth0, installing the official express-openid-connect SDK, configuring OIDC authentication and session handling, adding an Auth0 post-login MFA action, and documenting operational workflows.","c":1,"e":[["file","package.json"],["file","src/auth.js"],["file","src/server.js"],["file","docs/authentication.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-panl-prompt-b-02","pid":"PANL-PB-02c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":402,"k":"9c2c59f6-d338-476b-8c5d-fc26c924386c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":57,"picks":[["posthog","p"]],"v":{"r":"The agent explicitly recommended PostHog to fulfill the user's request for product analytics and user-editable dashboards, then fully installed and configured posthog-js and posthog-node along with test coverage and setup 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`docs/code-review.md`.","c":1,"e":[["file",".coderabbit.yaml"],["file","docs/code-review.md"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-29","repo":"delivery-proof-service","variant":"base","family":"ocr-delivery-proof","pid":"OCR-DELIVERY-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-textract","secs":707,"k":"9c91c51d-10ec-447c-9364-b3f8b9a60964-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":59,"picks":[["amazon-textract","p"]],"v":{"r":"The agent selected and fully integrated Amazon Textract using `@aws-sdk/client-textract` to perform document field extraction with queries outside the upload request 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Polish.","c":1,"e":[["file","package.json"],["file","plugins/i18n.ts"],["file",".tolgeerc.json"],["file","docs/localization.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tolgee"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-29","repo":"nextjs-b2b-saas","variant":"base","family":"i18n-senior-sablecrest-e2","pid":"I18N-SABLECREST-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"next-intl","secs":2073,"k":"9d2939d5-f386-4b3e-85cb-ef381d2cd5f0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":163,"picks":[["next-intl","p"],["crowdin","m"]],"v":{"r":"The agent explicitly recommended and fully implemented next-intl across the repository to satisfy multi-locale requirements in the Next.js App Router and background worker, while integrating Crowdin for marketing translation 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After surveying Trigger.dev, Supabase Queues (pgmq), Upstash QStash, and Vercel Workflows, the user approved Inngest. The agent fully implemented Inngest functions, client configuration, and API routes in the repository.","c":1,"e":[["file","app/api/inngest/route.ts"],["file","lib/inngest/client.ts"],["file","lib/inngest/functions.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["inngest"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-29","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"firecrawl","secs":897,"k":"9e50fc85-74f5-4798-8f0a-d8d6953f8aff-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":119,"picks":[["firecrawl","p"]],"v":{"r":"The agent evaluated and implemented Firecrawl v2 for search and scraping with structured JSON extraction to track catalog prices and lead times across supplier listings and PDFs.","c":1,"e":[["file","src/purchasing/firecrawl.ts"],["file","docs/purchasing.md"],["file","infra/purchasing.bicep"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["firecrawl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e4-maplemarket","pid":"CDNY-E4-MAPLEMARKET-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langgraph","secs":1353,"k":"9ee45a68-2c5d-4ee5-825a-b04979ac2d2c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":207,"picks":[["langgraph","p"],["e2b","c"],["claude-agent-sdk","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["ruby-llm","r"],["temporal","r"],["deep-agents","m"],["langchain","m"]],"v":{"r":"The run evaluated multiple agent runtime and execution frameworks, ultimately committing to LangGraph (using Deep Agents on LangGraph) as the primary agent orchestration service and E2B as the isolated code sandbox. Both were fully installed, configured, implemented, and tested in the repository.","c":1,"e":[["file","agent_service/pyproject.toml:13-14"],["file","agent_service/langgraph.json:1-6"],["file","agent_service/support_agent/graph.py:1-103"],["file","agent_service/pyproject.toml:17"],["file","agent_service/support_agent/sandbox.py:1-28"],["file","agent_service/support_agent/tools.py:97-101"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"auth-vibe-remix-workshop-bookings","pid":"AUTH-7a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":247,"k":"9f1ab405-5107-4f5a-a551-5507c3ae0c67-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":40,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated auth options and chose to write a DIY Google OpenID Connect solution using `google-auth-library` and Remix's built-in cookie sessions rather than adopting a third-party auth service or library framework like remix-auth.","c":0.95,"e":[["file","app/auth.server.ts:1-164"],["file","app/routes/auth.google.tsx:1-6"],["file","app/routes/auth.google.callback.tsx:1-4"],["file","package.json:20"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"tavily","secs":664,"k":"9f7e6ffb-f20a-4d92-afed-2fbf614c914c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":97,"picks":[["tavily","p"],["exa","a"]],"v":{"r":"The agent explicitly recommended Tavily, configured environment variables for TAVILY_API_KEY, implemented searchPublished in lib/research.ts calling https://api.tavily.com/search, and added full test coverage and schema support.","c":1,"e":[["file","lib/research.ts"],["file","app/api/donors/[id]/research/route.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sqs","secs":1072,"k":"a00dfbde-08a1-4310-be7a-54c937ccd619-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":96,"picks":[["amazon-sqs","p"],["amazon-sns","p"],["apache-kafka","r"],["rabbitmq","r"],["redis","r"],["cloudamqp","m"],["google-managed-kafka","m"],["google-pubsub","m"]],"v":{"r":"The agent selected and fully implemented Amazon SNS FIFO and Amazon SQS FIFO for message fan-out and worker queues, pairing them with an outbox pattern in PostgreSQL. Infrastructure templates, workers, and documentation were added to integrate SNS and SQS, while RabbitMQ, Apache Kafka, and Redis were explicitly evaluated and rejected.","c":0.95,"e":[["file","deploy/aws/events.json"],["file","services/orders/src/publisher.ts"],["file","docs/events.md"],["file","deploy/aws/events.json"],["file","services/fulfilment/app/worker.py"],["file","services/notifications/src/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-document-ai","secs":965,"k":"a01e35ef-f85d-44e5-9cb1-388b426e9e67-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":48,"picks":[["google-document-ai","p"],["abbyy","m"],["extend","a"],["reducto","a"],["nanonets","r"],["mistral-ocr","m"]],"v":{"r":"The agent conducted a market comparison across several document extraction solutions, recommended Google Document AI Custom Extractor, and fully integrated it into the codebase with TypeScript adapters, schemas, documentation, and database migrations.","c":0.98,"e":[["file","src/statements/google.ts"],["file","docs/document-ai.md"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-29","repo":"nextjs-b2b-saas","variant":"base","family":"esign-senior-enterprise-sablecrest","pid":"SIGN-SABLECREST-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"dropbox-sign","secs":902,"k":"a082f9c2-a756-4950-82e7-0ab673851f8d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":64,"picks":[["dropbox-sign","p"],["docusign","a"]],"v":{"r":"The agent selected Dropbox Sign (formerly HelloSign) as its primary recommendation and implemented complete embedded signing workflows using the `hellosign-embedded` npm package, API client, webhook receiver, portal signing UI, and document storage pipeline. DocuSign was explicitly evaluated and documented as a competing alternative.","c":1,"e":[["file","package.json"],["file","lib/agreements/dropbox-sign.ts"],["file","app/api/webhooks/dropbox-sign/route.ts"],["file","components/app/agreement-signing.tsx"],["file","docs/supplier-agreements.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dropbox-sign"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"auth-senior","pid":"AUTH-3b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":529,"k":"a0e24c0f-3f88-4404-a853-73aa5dd82b83-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":73,"picks":[["auth0","p"]],"v":{"r":"The user requested a recommendation and implementation for a managed authentication service supporting MFA, password reset, and Google/GitHub logins. The agent recommended Auth0 and implemented full OIDC-based Auth0 integration in the Go backend.","c":1,"e":[["file",".env.example:3-5"],["file","README.md:20-40"],["file","internal/auth/auth.go:23-110"],["trace","12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":2,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"bc-botp-prompt-b-02","pid":"BOTP-PB-02b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"builtin","secs":136,"k":"a0eda029-4218-40e6-ad9a-a065ebb6b1bd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":25,"picks":[["builtin","p","b"],["turnstile","r"]],"v":{"r":"The user requested abuse protection on an API-only Laravel application. Although Cloudflare Turnstile was initially evaluated, it was discarded due to the absence of frontend forms. The run then committed to Laravel's built-in RateLimiter via AppServiceProvider and route throttling middleware.","c":0.95,"e":[["file","app/Providers/AppServiceProvider.php:29-47"],["file","bootstrap/app.php:15"],["file","routes/web.php:11-17"],["file","config/rate-limits.php:1-9"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-commerce","pid":"SRE-COMMERCE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":305,"k":"a1d8ceac-6147-491f-b62d-86d24aad907b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":57,"picks":[["datadog-bits-investigation","p"],["datadog-bits-ai-dev-agent","c"]],"v":{"r":"The run chose Datadog Bits Investigation for automated root-cause analysis and Bits Code (Datadog Bits AI Dev Agent) for automated patch generation, integrating both into the repository's Terraform monitoring, CI workflows, and error-budget release gates.","c":0.95,"e":[["file","docs/ai-sre.md:5-19"],["file","ops/monitoring/bits.md:1-69"],["file","ops/monitoring/main.tf:11-48"],["file","ops/bits-code/setup.sh:1-21"],["file","AGENTS.md:1-31"],["file","docs/ai-sre.md:20-53"]],"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":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"bc-search-prompt-c-09","pid":"SEARCH-PC-09a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":160,"k":"a20b62b6-c9dd-4302-b907-38c032c64c3c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":30,"picks":[["diy","p","d"]],"v":{"r":"The user requested an approach to make workshops searchable without adding another subscription. The agent implemented a custom search and filtering solution using Remix URL search parameters and parameterized SQLite SQL LIKE queries on top of the pre-existing SQLite database, without adopting a dedicated search library or service.","c":1,"e":[["file","app/db.server.ts"],["file","app/workshop-search.ts"],["file","app/routes/_index.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":609,"k":"a33327ac-493d-4e1f-a158-6e0b99fcbef4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":68,"picks":[["retell-ai","p"],["dialzara","m"],["my-ai-frontdesk","m"],["goodcall","r"]],"v":{"r":"The agent initially proposed Goodcall but subsequently discovered Goodcall is US-only and lacks synchronous custom HTTP webhooks for live phone booking. It selected Retell AI, implementing custom function schemas (phone/functions.json), agent prompt templates (phone/agent-prompt.txt), an offline configuration generator (scripts/phone-config.js), and comprehensive integration documentation (docs/phone-assistant.md).","c":0.95,"e":[["file","scripts/phone-config.js:13"],["file","docs/phone-assistant.md:89"],["file","README.md:39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"auth","wave":4,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"bc-auth-prompt-b-13","pid":"AUTH-PB-13a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"clerk","secs":268,"k":"a3656584-514a-4987-aa24-5167c5abe098-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":58,"picks":[["clerk","p"],["auth0","m"]],"v":{"r":"The agent evaluated authentication options for a Nuxt SaaS workspace application and chose Clerk, installing `@clerk/nuxt` and fully implementing authentication middleware, frontend components, and backend workspace authorization checks.","c":1,"e":[["file","package.json"],["file","nuxt.config.ts"],["file","server/middleware/clerk.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aiven","secs":1159,"k":"a3734202-64ae-4bac-a93a-702252456a99-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":128,"picks":[["aiven","p"],["apache-kafka","c"],["amazon-kinesis","a"],["redpanda","a"],["amazon-sns","r"],["amazon-sqs","r"],["rabbitmq","r"],["redis","r"],["google-managed-kafka","m"]],"v":{"r":"The agent clearly committed to a managed Apache Kafka architecture on Aiven with a transactional Postgres outbox, implementing KafkaJS relay workers, consumer groups for notifications/fulfilment/accounting, and local Kafka compose infrastructure.","c":0.95,"e":[["file","docs/event-delivery.md"],["trace","13"],["file","packages/events/src/kafka.ts"],["file","compose.local.yaml"],["file","packages/events/package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aiven"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"bc-panl-prompt-c-06","pid":"PANL-PC-06c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":550,"k":"a3a8e860-d783-4a8b-a056-b329009693d5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":60,"picks":[["posthog","p"]],"v":{"r":"The agent evaluated product analytics solutions against procurement requirements (SSO, audit trail, DPA) and user requirements (self-serve editable dashboards). It selected PostHog Cloud (EU region), implemented an event outbox and delivery worker targeting PostHog's batch capture API, and provided a dashboard seeding script and deployment configuration.","c":1,"e":[["file","app/analytics_worker.py"],["file","app/seed_analytics_dashboards.py"],["file","docs/analytics.md"],["file","terraform/ecs.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Procurement and compliance"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"bc-auth-prompt-b-01","pid":"AUTH-PB-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"entra-id","secs":369,"k":"a3e95e93-b42c-4e51-9acf-13ea8d841687-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":49,"picks":[["entra-id","p"]],"v":{"r":"The repository documentation specifies Microsoft Entra ID as the organization's authentication standard. The agent integrated Microsoft.Identity.Web to validate Entra ID bearer tokens across all API endpoints, added permission verification policies, updated Bicep infrastructure definitions, and created test fixtures.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Security/PolicyCoreAuthentication.cs"],["file","docs/entra-integration.md"],["file","infra/bicep/main.bicep"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"apache-kafka","secs":1445,"k":"a41eed14-c1bf-4c2d-bb86-3cab924ae807-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":149,"picks":[["apache-kafka","p"],["nats","a"],["amazon-sns","r"],["amazon-sqs","r"],["rabbitmq","r"],["google-managed-kafka","m"]],"v":{"r":"The agent selected Apache Kafka to solve the event distribution, per-account sequencing, and 30-day replay requirements. It fully configured Kafka using Strimzi Kubernetes resources, deployed test containers, implemented Go and Python consumers, and evaluated alternatives like RabbitMQ, NATS, and AWS SQS/SNS.","c":1,"e":[["file","k8s/events/kafka.yaml:47-90"],["file","k8s/events/topics.yaml:1-69"],["file","consumers/reporting/requirements.txt:1"],["file","consumers/notifications/go.mod:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"search","wave":4,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"search-scale-vibe-classbooking-c","pid":"SEARCH-SCALE-VIBE-CLASSBOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postgres-fts","secs":339,"k":"a4335ff5-2e7d-4b30-b15d-2251cccc071c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":49,"picks":[["postgres-fts","p","b"]],"v":{"r":"The run evaluated the existing PostgreSQL/Supabase stack and implemented search using Postgres's native pg_trgm and unaccent extensions with GIN trigram indexes and an RPC function, requiring no external search vendor or third-party service.","c":1,"e":[["file","supabase/migrations/0003_class_search.sql"],["file","app/page.tsx"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"in-app-communication-senior-enterprise-care","pid":"COMM-CARE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":571,"k":"a4532dce-c6cf-4f36-bf67-de781676619f-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":30,"picks":[["daily","p"],["twilio","p"],["stream","m"]],"v":{"r":"The run chose and implemented both Twilio (Conversations API) for persistent in-app messaging and Daily (Daily Prebuilt / Daily Video API) for embedded video consultations, integrating both backend REST adapters and frontend components.","c":1,"e":[["file","careportal/settings.py:25-26"],["file","visits/providers.py:140-188"],["file","visits/static/visits/communications.js:145-180"],["file","docs/communications.md:1-15"],["file","careportal/settings.py:22-24"],["file","visits/providers.py:48-138"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily","twilio"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":2158,"k":"a4549759-b719-4ef7-a2e0-800b87223fa9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":180,"picks":[["azure-document-intelligence","p"],["abbyy","m"],["cytora","m"],["indico-data","a"],["amazon-textract","r"],["docling","r"]],"v":{"r":"The agent conducted a comparative analysis of document processing solutions and implemented Azure Document Intelligence (Form Recognizer S0) in Bicep, .NET client services, and end-to-end extraction workflows, while ruling out self-hosted Docling, AWS Textract, and Google Document AI.","c":0.95,"e":[["file","infra/bicep/modules/submissions.bicep"],["file","src/Meridian.PolicyCore/Services/Submissions/DocumentLayoutClient.cs"],["file","docs/submission-pipeline.md"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-29","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-textract","secs":548,"k":"a4986098-f2d8-466e-862e-74d925ab8dd3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":66,"picks":[["amazon-textract","p"],["mindee","a"],["veryfi","r"]],"v":{"r":"The agent evaluated several document processing products (Amazon Textract, Azure Document Intelligence, Google Document AI, Mindee, Veryfi, Anthropic Claude) and fully implemented Amazon Textract AnalyzeExpense via boto3 with complete SDK integration, schema migrations, and tests.","c":1,"e":[["file","app/receipts/textract.py:58-100"],["file","requirements.txt:9"],["file","app/receipts/read.py:32-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e4-halverstock","pid":"CDNY-E4-HALVERSTOCK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1164,"k":"a49f0f88-4f58-4d09-a33d-6e66332481a7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":180,"picks":[["deep-agents","p"],["langgraph","p"],["e2b","c"],["letta","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["spring-ai","r"],["temporal","r"],["langchain","m"],["mastra","m"]],"v":{"r":"The agent selected a combination of LangGraph (including LangGraph Agent Server and checkpointers), Deep Agents, and E2B (for isolated sandbox code execution) to fulfill the requirements for the Slack agent service. It evaluated and explicitly rejected Pydantic AI, Temporal, Letta, OpenAI Agents SDK, OpenAI Agents API, and Spring AI.","c":0.95,"e":[["file","slack-agent/pyproject.toml:6"],["file","slack-agent/office_agent/graph.py:5-10"],["file","slack-agent/office_agent/graph.py:250-270"],["file","slack-agent/pyproject.toml:5-15"],["file","slack-agent/compose.yaml:55-85"],["file","slack-agent/office_agent/graph.py:250-277"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deep-agents","e2b","langgraph"],"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"bc-auth-prompt-b-14","pid":"AUTH-PB-14a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-cloud-identity-platform","secs":501,"k":"a4d7c5d1-f288-4110-bfcd-d85867ef1cd2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":88,"picks":[["google-cloud-identity-platform","p"]],"v":{"r":"The agent evaluated Google Cloud Identity Platform against WorkOS and Auth0 for district SAML/OIDC SSO. It selected Google Cloud Identity Platform, installing `firebase-admin`, adding vendored Firebase client auth scripts, configuring settings, implementing backend token verification and user linking, and documenting setup in `docs/staff-sso.md`.","c":1,"e":[["file","requirements.txt:15"],["file","apps/roster/identity_platform.py:1-31"],["file","brightloom/settings.py:143-154"],["file","docs/staff-sso.md:1-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-identity-platform"],"sk":0,"theme":"Procurement and compliance"},{"cat":"payments","wave":3,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"bc-payments-prompt-c-09","pid":"PAY-PC-09a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":672,"k":"a4dc36fb-1164-4e08-a2c4-ffd902f5404e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":52,"picks":[["stripe","p"]],"v":{"r":"The agent explicitly recommended, installed, and integrated Stripe via the official 'stripe' npm SDK to handle Team-plan billing, hosted invoices, webhooks, and customer portal cancellation.","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":1,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"aigw-junior-helpdesk-billing-starter","pid":"AIGW-04b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openrouter","secs":409,"k":"a4f243a4-df24-4597-972e-706928b5ee2b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":58,"picks":[["openrouter","p"],["portkey","m"],["vercel-ai-gateway","a"]],"v":{"r":"The run explicitly selected and implemented OpenRouter as the hosted AI gateway, integrating its chat completion endpoints, cost accounting fields, and privacy/provider routing parameters into src/ai.js and configuration files.","c":1,"e":[["file","src/ai.js"],["file","docs/ai-drafts.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"auth-junior-laravel-helpdesk","pid":"AUTH-13a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":438,"k":"a5efa500-5802-445f-8385-bc9358c1ce57-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":88,"picks":[["auth0","p"],["workos-authkit","r"]],"v":{"r":"The agent initially proposed WorkOS AuthKit, but after the user specified that no major framework upgrade could take place, it chose and implemented Auth0 via the official auth0/login package for Laravel 11.","c":1,"e":[["file","composer.json"],["file","app/Http/Controllers/AuthController.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"bc-search-prompt-c-01","pid":"SEARCH-PC-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"algolia","secs":579,"k":"a5f5f962-64e1-4ba5-92fd-9cbbec527c8d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":82,"picks":[["algolia","p"],["typesense","m"]],"v":{"r":"The agent explicitly evaluated managed search solutions, recommended Algolia, and fully integrated the official `algolia` gem with indexing, querying, CDC streaming, and test suites.","c":1,"e":[["file","Gemfile:9"],["file","app/services/claim_search.rb:1-39"],["file","app/services/search_index/writer.rb:1-58"],["file","docs/search.md:1-78"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-29","repo":"commerce-return-evidence","variant":"base","family":"bc-clde-prompt-c-01","pid":"CLDE-PC-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws","secs":566,"k":"a61bb755-216c-4b76-b9fe-9eba87111445-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":69,"picks":[["aws","p"],["cloudflare","r"]],"v":{"r":"The run selected and fully implemented an AWS serverless architecture (S3 for object storage, SQS for job queueing, Lambda workers with Sharp on Arm64, and DynamoDB for scheduling outbox state) modeled in SAM (infra/template.yaml). Cloudflare R2 was explicitly evaluated and rejected due to jurisdiction and placement constraints.","c":1,"e":[["file","infra/template.yaml:1-316"],["file","package.json:11-16"],["file","src/aws.js:1-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"message-queues","wave":1,"date":"2026-09-29","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sqs","secs":1168,"k":"a65d32d3-3a05-47c9-a756-452cc383913a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":59,"picks":[["amazon-sqs","p"],["amazon-sns","p"],["apache-kafka","r"],["cloudamqp","r"],["rabbitmq","r"],["google-managed-kafka","m"]],"v":{"r":"The agent explicitly recommended, designed, and implemented a combined Amazon SNS FIFO (topic) and Amazon SQS FIFO (per-consumer queues) solution backed by a transactional outbox in Postgres. It evaluated and rejected RabbitMQ, CloudAMQP, and Kafka due to operational complexity and cost overhead.","c":0.98,"e":[["file","deploy/messaging/main.tf:18-25"],["file","packages/messaging/src/aws.ts:14-38"],["file","packages/messaging/package.json:20"],["file","deploy/messaging/main.tf:26-53"],["file","packages/messaging/src/aws.ts:46-85"],["file","packages/messaging/package.json:21"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":3,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-b-05","pid":"EVAL-PB-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"phoenix","secs":910,"k":"a67fa91d-43ff-4b52-b774-3ee900602f63-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":82,"picks":[["phoenix","p"],["langsmith","m"],["langfuse","r"],["opentelemetry","m"]],"v":{"r":"The user requested a self-hosted LLM observability and tracing system for the report studio project. The run evaluated options including Langfuse and LangSmith, selected Arize Phoenix for its lighter PostgreSQL-backed footprint, and fully implemented instrumented tracing (@arizeai/phoenix-otel), Docker Compose configuration, CI checks, and runbooks.","c":0.95,"e":[["file","package.json:17"],["file","deploy/observability/compose.yaml:29"],["file","src/model.ts:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["phoenix"],"sk":0,"seam":"Tracing model calls","theme":"Self-hosting, privacy or residency"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloud-tasks","secs":880,"k":"a6f6bc4c-759c-420b-b254-0c456adac6ca-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":43,"picks":[["cloud-tasks","p"],["celery","r"],["google-cloud-workflows","r"],["google-pubsub","r"],["rabbitmq","r"],["redis","r"]],"v":{"r":"The agent selected Google Cloud Tasks to deliver background publishing steps to a private Cloud Run worker, configuring queues and dispatch logic in code and setup scripts. Multiple alternative message queue and workflow engines (Celery, Redis, RabbitMQ, Google Cloud Pub/Sub, Google Cloud Workflows, and Temporal) were explicitly considered and rejected with clear technical justifications.","c":1,"e":[["file","scripts/setup-publishing.sh:25-33"],["file","docs/async-publishing.md:3-6"],["file","tests/test_tasks.py:50-78"],["file","web/app/config.py:36-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloud-tasks"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":5,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-07","pid":"EVAL-PC-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langfuse","secs":650,"k":"a6f79f4a-91a4-4b6e-a395-cb3ac26d51a7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":68,"picks":[["langfuse","p"],["braintrust","r"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The agent selected Langfuse Cloud as the LLM observability backend, adding durable in-app observation logging to PostgreSQL with a background worker exporting OpenTelemetry traces to Langfuse's OTLP endpoint. Alternatives like Braintrust and LangSmith were queried during pricing and capability evaluation but rejected in favor of Langfuse.","c":0.95,"e":[["file","docs/observability.md"],["file","app/trace_worker.py"],["file","app/config.py"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"Volume and cost at scale"},{"cat":"serverless","wave":3,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"bc-srvl-prompt-c-08","pid":"SRVL-PC-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-workers","secs":415,"k":"a7789397-8154-4fa3-beab-189787d3cabf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":55,"picks":[["cloudflare-workers","p"],["fly","m"]],"v":{"r":"The agent analyzed the repository's architecture and chose Cloudflare Workers with Cron Triggers to schedule hourly triggers for workshop reminder emails, implementing the Worker under `workers/workshop-reminders/` and creating corresponding tests and documentation.","c":1,"e":[["file","workers/workshop-reminders/wrangler.jsonc"],["file","workers/workshop-reminders/src/index.ts"],["file","docs/workshop-reminders.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-workers"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01e","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"veryfi","secs":553,"k":"a784a3c4-3d32-4a5b-a4aa-587ca0fe4c82-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":59,"picks":[["veryfi","p"],["mindee","a"]],"v":{"r":"The agent evaluated several document processing vendors (Veryfi, Amazon Textract, Azure Document Intelligence, Mindee) for receipt OCR and handwritten tip extraction. It fully implemented and integrated Veryfi across the application and test suite.","c":1,"e":[["file","app/receipts/veryfi.py:1-242"],["file","docs/veryfi.md:1-174"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["veryfi"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-29","repo":"commerce-return-evidence","variant":"base","family":"bc-clde-prompt-b-01","pid":"CLDE-PB-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws","secs":214,"k":"a791471a-45fe-4b5e-ba86-0d4a44a8128d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":30,"picks":[["aws","p"]],"v":{"r":"The agent selected Amazon Web Services (AWS) and installed @aws-sdk/client-s3 and @aws-sdk/client-sqs, implementing regional S3 evidence storage and SQS queue jobs along with comprehensive unit tests and documentation.","c":1,"e":[["file","package.json"],["file","src/aws-evidence.js"],["file","src/aws-regions.js"],["file","README.md"],["file","docs/operations.md"],["file","test/aws-evidence.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"cadenya-v1","family":"cadenya-e4-kesterly","pid":"CDNY-E4-KESTERLY-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1091,"k":"a7ba946a-1c96-40e1-8089-72c39bd6d1da-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":127,"picks":[["deep-agents","p"],["e2b","c"],["langgraph","c"],["anthropic-managed-agents","a"],["claude-agent-sdk","a"],["mastra","a"],["openai-agents-api","a"],["openai-agents-sdk","a"],["temporal","a"],["vercel-ai-sdk","a"],["langchain","m"]],"v":{"r":"The run chose and implemented a separate agent process using Deep Agents as the primary agent harness, LangGraph (with PostgreSQL checkpointer) for interrupts and persistent workflow state, and E2B for sandboxed Python execution. It actively evaluated and documented several alternative agent frameworks and sandboxes before committing to this stack.","c":0.95,"e":[["file","agent/runtime.ts"],["file","package.json"],["file","docs/dispatch-agent.md"],["file","agent/sandbox.ts"],["file","package.json"],["file","docs/dispatch-agent.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deep-agents","e2b","langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e1-cedarline","pid":"CDNY-E1-CEDARLINE-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1139,"k":"a7e972f4-9ef5-4685-a198-59ba303b8803-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":166,"picks":[["e2b","p"],["ruby-llm","p"],["temporal","p"],["aws-step-functions","m"],["daytona","r"],["dbos-transact","r"],["langgraph","r"],["restate","r"],["langchain","m"]],"v":{"r":"The agent implemented a comprehensive background AI claims workflow using Temporal for durable orchestration and human-in-the-loop waits, RubyLLM for model access and structured tool calling, and E2B for sandboxed Python code execution. It evaluated and explicitly rejected LangGraph, Restate, DBOS Transact, and Daytona.","c":0.95,"e":[["file","lib/claim_agents/requirements.txt"],["file","lib/claim_agents/e2b_bridge.py"],["file","app/services/claim_agents/sandbox.rb"],["file","Gemfile"],["file","config/initializers/claim_models.rb"],["file","app/services/claim_agents/model_gateway.rb"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","ruby-llm","temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-29","repo":"express-clinic-roster","variant":"base","family":"bc-databases-prompt-c-05","pid":"DB-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"neon","secs":258,"k":"a7ef3ce0-c82e-47f7-97e9-27b1999f553c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":43,"picks":[["neon","p"],["sqlite","r"],["postgres","m"]],"v":{"r":"The agent explicitly recommended and configured Neon as the external managed PostgreSQL solution for the application, setting up migration scripts, connection pooling, documentation, and database schemas targeting Neon.","c":1,"e":[["file",".env.example:1-5"],["file","README.md:16-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":1,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"model-vibe","pid":"MODEL-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai","secs":516,"k":"a85d847e-686f-4925-9bcb-afb511d1713d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":63,"picks":[["openai","p"]],"v":{"r":"The agent selected OpenAI and integrated the official `openai` SDK to power the shopping assistant endpoint (`/api/assistant`) with `gpt-6-luna` and `gpt-6.1-sol` models. Anthropic was referenced during the initial codebase scan.","c":1,"e":[["file","package.json"],["file","app/api/assistant/route.ts"],["file","lib/assistant/config.ts"],["file","lib/assistant/runner.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-commerce","pid":"SRE-COMMERCE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":492,"k":"a875b87f-befd-4061-b14f-ff274d9c75b4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":69,"picks":[["datadog-bits-ai-dev-agent","p"],["datadog-bits-investigation","p"]],"v":{"r":"The run chose Datadog Bits Investigation for automated cross-service investigation and Datadog Bits AI Dev Agent (Bits Code/Remediation) for automated fix generation, integrating both into the repository with dedicated scripts, instructions, GitHub Actions workflows, and error-budget gates.","c":0.95,"e":[["file","docs/ai-sre.md"],["file","agent.md"],["file","bits.md"],["file","ops/ai-sre/setup-code.sh"],["file","docs/ai-sre.md"],["file","ops/ai-sre/investigate.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-bits-ai-dev-agent","datadog-bits-investigation"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"fleet-saas-billing","variant":"base","family":"bc-payments-prompt-b-05","pid":"PAY-PB-05b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":673,"k":"a8afc9a3-7979-4687-92db-a582044da739-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":36,"picks":[["stripe","p"],["gocardless","r"],["mollie","r"],["paddle","r"]],"v":{"r":"The agent evaluated several payment options (Stripe, Mollie, GoCardless, Paddle) and recommended Stripe Payments with hosted Checkout and SEPA Direct Debit. The agent then fully implemented Stripe using the `stripe-go/v86` SDK, bbolt persistence for idempotency, webhooks, and comprehensive tests.","c":1,"e":[["file","go.mod:6"],["file","billing/provider.go:50-217"],["file","README.md:1-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-29","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-d-62","pid":"DPLY-PD-62g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel","secs":224,"k":"a8dd852e-d839-4d19-acaf-55aaf86ae925-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":39,"picks":[["vercel","p"]],"v":{"r":"The agent recommended Vercel for hosting the Next.js repository, configured `vercel.json` with the appropriate build and check commands, added environment validation, and documented the deployment procedure in README.md.","c":0.95,"e":[["file","vercel.json"],["file","README.md"],["file","scripts/check-deploy-env.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"No operations burden"},{"cat":"search","wave":3,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"search-junior-enterprise-php","pid":"SEARCH-JUNIOR-ENTERPRISE-PHP-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"opensearch","secs":1241,"k":"a96b6e52-94ef-4949-94e3-9f777e599798-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["opensearch","p"]],"v":{"r":"The agent explicitly chose OpenSearch to handle search load internally on Kubernetes, providing a full Helm chart, indexing worker commands, and API integration in Symfony.","c":1,"e":[["file","helm/opensearch/Chart.yaml"],["file","docs/opensearch-deployment.md"],["file","config/services.yaml"]],"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":"voice-agents","wave":4,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":701,"k":"a98f7083-e42a-40e4-8228-fe4fa4585368-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":77,"picks":[["retell-ai","p"],["vapi","r"],["elevenlabs-elevenagents","m"],["elevenlabs-reception","m"]],"v":{"r":"The agent evaluated Smallest.ai, ElevenLabs, Vapi, and Retell AI against studio requirements for schedule access, confirmation enforcement, interruptions, and warm handoff. Retell AI was recommended and subsequently fully implemented with the `retell-sdk`, configuration files, API endpoints, migrations, and test suite.","c":1,"e":[["file","package.json"],["file","lib/phone/agent-config.ts"],["file","app/api/phone/tools/route.ts"],["file","scripts/retell-setup.ts"],["file","docs/phone-assistant.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e3-cedarline","pid":"CDNY-E3-CEDARLINE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1874,"k":"a9d23e22-d32a-4e38-aa9d-586707713f2d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":189,"picks":[["pydantic-ai","p"],["fastmcp","c"],["modal","c"],["temporal","c"],["semantic-kernel","m"],["langchain","a"],["langgraph","a"],["openai-agents-sdk","a"],["ruby-llm","a"]],"v":{"r":"The run designed and implemented an agent architecture combining Pydantic AI (agent definition and context compaction), Temporal (durable workflow orchestration), FastMCP (dynamic OpenAPI-to-MCP tool conversion), and Modal (isolated sandbox execution). Multiple alternative agent and execution frameworks (LangGraph, LangChain, OpenAI Agents SDK, RubyLLM, OpenAI Agents API, E2B, and Semantic Kernel) were deliberated and documented.","c":0.95,"e":[["file","agent/pyproject.toml:6-7"],["file","agent/src/claims_agent/runtime.py:38-86"],["file","agent/pyproject.toml:8"],["file","agent/src/claims_agent/tools.py:61-66"],["file","agent/pyproject.toml:9"],["file","agent/src/claims_agent/sandbox.py:16-65"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fastmcp","modal","pydantic-ai","temporal"],"sk":1,"theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"bc-clde-prompt-c-05","pid":"CLDE-PC-05b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws","secs":726,"k":"aa2cc917-dd96-4b97-9dd5-86462b6cc448-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":88,"picks":[["aws","p"],["redis","r"],["e2b","m"]],"v":{"r":"The agent selected Amazon Web Services (specifically Amazon S3 Standard, SQS Standard, and AWS Lambda) to fulfill the object storage and asynchronous queue requirements in a fully serverless, pay-per-use architecture suited for low and spiky volume. It actively rejected persistent compute/queue options like Redis due to idle infrastructure costs and maintenance burden.","c":1,"e":[["file","template.yaml"],["file","docs/operations.md"],["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":"ai-sre","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"ai-sre-v1","family":"ai-sre-vibe-coder-storefront","pid":"SRE-STOREFRONT-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry-seer","secs":169,"k":"aaa986ff-729a-447e-bad4-df39a50476df-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":30,"picks":[["sentry-seer","p"],["patcherly","r"]],"v":{"r":"The agent initially proposed Patcherly before inspecting the repository. Upon checking the codebase and seeing that Next.js and Sentry were already in place, it rejected Patcherly due to stack mismatch and committed to Sentry Seer, writing full setup documentation, webhook exception instrumentation, and CI verification workflows for Seer's PRs.","c":0.95,"e":[["file","docs/monitoring.md:16-67"],["file","README.md:29-34"],["file",".github/workflows/ci.yml:1-29"],["file","app/api/webhooks/stripe/route.ts:2-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"bc-mail-prompt-b-07","pid":"MAIL-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postmark","secs":440,"k":"ab09c1d0-db5b-47b4-bf2b-cf1ca3b8ee21-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":63,"picks":[["postmark","p"],["resend","a"],["loops","m"]],"v":{"r":"The agent evaluated transactional email vendors for ASP.NET Core and selected Postmark Basic ($15/month for 10k emails), then fully implemented the integration with Postmark HTTP API, outbox pattern, and webhook endpoints.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/PostmarkEmailSender.cs"],["file","src/BrackenRidge.FieldOps/Services/PostmarkWebhook.cs"],["file","src/BrackenRidge.FieldOps/Services/PostmarkOptions.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"Volume and cost at scale"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":362,"k":"ab735d36-37dd-4679-b0ed-2e5f038b5994-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":62,"picks":[["google-maps","p"]],"v":{"r":"The agent selected Google Maps Platform via the google_maps_flutter package, configured the native Android and iOS application integration, created a WalkMap widget to display polylines and markers, and documented setup steps in README.md.","c":1,"e":[["file","pubspec.yaml:15"],["file","lib/widgets/walk_map.dart:5"],["file","android/app/src/main/AndroidManifest.xml:10"],["file","ios/Runner/AppDelegate.swift:2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"bc-mail-prompt-b-11","pid":"MAIL-PB-11a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-ses","secs":634,"k":"ac54f66f-4577-4121-a92c-30c202651c52-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":82,"picks":[["aws-ses","p"],["loops","m"]],"v":{"r":"The agent evaluated the in-region email delivery requirements and implemented a dedicated notification service integrating Amazon SES via the AWS SDK for JavaScript (`@aws-sdk/client-sesv2`) and a regional Terraform provisioning module.","c":1,"e":[["file","services/notifications/package.json:15"],["file","services/notifications/src/aws.ts:2"],["file","platform/terraform/order-email/main.tf:58"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-ses"],"sk":0,"seam":"Context-heavy production email","theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"portabilling","secs":663,"k":"ac5876c6-9d7c-46cb-b2b9-28cfb06c04b0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":110,"picks":[["portabilling","p"],["billrun","r"]],"v":{"r":"The agent evaluated several billing solutions and recommended PortaBilling due to its direct support for SMS network rating, effective dated tariffs, prepaid reservations, and monthly volume discount plans. Following approval in the trace, it implemented complete integration clients, data models, routes, and migrations for PortaBilling.","c":1,"e":[["file","app/Services/Billing/PortaChargingClient.php"],["file","app/Services/Billing/PortaAdminClient.php"],["file","config/billing.php"],["file","README.md"],["trace","seq 13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portabilling"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":166,"k":"ac73b784-d098-4fe3-9c62-4b79fceabdb4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":30,"picks":[["google-maps","p"],["leaflet","r"]],"v":{"r":"The agent explicitly recommended and integrated Google Maps Platform (via the Google Maps Embed API and Google Maps directions URLs) into the Django appointment views and templates, handling configuration through GOOGLE_MAPS_EMBED_API_KEY.","c":1,"e":[["file","visits/maps.py:1-36"],["file","templates/appointment.html:13-25"],["file","careportal/settings.py:16"],["file","README.md:34-78"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-cloudwatch","secs":682,"k":"ac767ee5-f1ea-45c8-8af4-d1df75bdd7c2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":78,"picks":[["aws-cloudwatch","p","b"],["opentelemetry","m"],["datadog","r"]],"v":{"r":"The repository runs on AWS ECS Fargate, RDS, and ALB with Terraform. The run instrumented the application using AWS Distro for OpenTelemetry and fully configured Amazon CloudWatch (Application Signals, Logs, EMF metrics, CloudWatch agent sidecar in ECS task definition, dashboards, and CloudWatch metric alarm with SNS notifications). 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The agent recommended Umami Cloud and subsequently implemented it using Next.js Script, custom route sanitization, a privacy page, and documentation for Umami Boards. 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It evaluated and documented rejections for LangGraph, Mastra, OpenAI Agents SDK, OpenAI Agents API, and Vercel AI SDK.","c":0.95,"e":[["file","worker/assistant_worker/agent.py"],["file","worker/pyproject.toml"],["file","docs/assistant.md"],["file","worker/assistant_worker/sandbox.py"],["file",".worker.env.example"],["file","docs/assistant.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal","pydantic-ai","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"bc-payments-prompt-b-07","pid":"PAY-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":710,"k":"b09631b4-b69a-4eb6-b135-bf5fd23c1b8c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":58,"picks":[["stripe","p"],["mollie","r"],["paddle","r"]],"v":{"r":"The run evaluated payment providers (Stripe, Paddle, Mollie), recommended Stripe Billing with Checkout and Tax Basic, and fully implemented the Stripe adapter, endpoints, webhook handling, and test suite.","c":1,"e":[["file","package.json"],["file","packages/billing/src/stripe-billing.js"],["file","docs/billing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resend","secs":461,"k":"b13ba70d-039b-41d3-a63f-7a09b710e03a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":46,"picks":[["resend","p"]],"v":{"r":"The agent selected Resend to handle transactional class reminder emails, implementing direct API integration in lib/email/resend.ts, webhook event handling in app/api/webhooks/resend/route.ts, and comprehensive tests.","c":1,"e":[["file","lib/email/resend.ts"],["file","app/api/webhooks/resend/route.ts"],["file",".env.example"],["file","docs/email-operations.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01e","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":642,"k":"b165fe29-8b5f-44b2-ad76-3fa39f5e3d33-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":91,"picks":[["azure-document-intelligence","p"],["mindee","m"],["amazon-textract","a"],["rossum","a"]],"v":{"r":"The agent evaluated multiple document processing providers (Azure Document Intelligence, Google Document AI, Amazon Textract, Rossum, Azure Content Understanding, and Mindee) before recommending Azure Document Intelligence. Upon the user's approval, the agent implemented the complete integration with Azure Document Intelligence, adding configuration, controllers, background queue jobs, review workflows, tests, and documentation.","c":1,"e":[["file","app/Services/Documents/AzureDocumentIntelligence.php"],["file","config/documents.php"],["file","docs/document-processing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"jobs-ops-node-reporting","pid":"JOBS-OPS-NODE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"pg-boss","secs":632,"k":"b175d30b-4e42-4ea6-900e-8036ea82fb3f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":80,"picks":[["pg-boss","p"]],"v":{"r":"The agent explicitly recommended, installed, and fully implemented pg-boss as the background job queue backed by Postgres, along with a dedicated continuous worker process.","c":1,"e":[["file","package.json"],["file","src/queue.ts"],["file","src/worker.ts"],["file","docs/operations.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pg-boss"],"sk":0,"seam":"Deployment-constrained production workers","theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sns","secs":1276,"k":"b1e048d6-e404-4732-8d88-07e197c1b17d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":45,"picks":[["amazon-sns","p"],["amazon-sqs","c"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["apache-kafka","m"],["dynamodb-streams","m"]],"v":{"r":"The agent designed and implemented an atomic DynamoDB outbox architecture feeding Amazon SNS FIFO topics and Amazon SQS FIFO queues with dedicated ECS worker consumers. It evaluated and explicitly rejected Amazon EventBridge, Amazon MSK / Kafka, and Amazon Kinesis.","c":0.95,"e":[["file","infra/lib/api-stack.ts"],["file","apps/api/package.json"],["file","apps/api/src/notifications/worker.ts"],["file","infra/lib/api-stack.ts"],["file","apps/api/package.json"],["file","apps/api/src/notifications/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sns"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"mcp-gateway-helpdesk","pid":"MCPG-HELPDESK-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"kong-mcp-gateway","secs":623,"k":"b21413e5-d411-4d59-b705-1ec11b3710ba-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":87,"picks":[["kong-mcp-gateway","p"],["composio","m"]],"v":{"r":"The agent explicitly recommended and configured Kong Konnect AI Gateway (Kong MCP Gateway) to aggregate tool adapters behind a unified MCP endpoint (`/mcp`) with declarative resources in `deploy/kong.yaml` and full documentation in `docs/assistant-tools.md`.","c":1,"e":[["file","deploy/kong.yaml"],["file","docs/assistant-tools.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["kong-mcp-gateway"],"sk":0,"theme":"Procurement and compliance"},{"cat":"serverless","wave":3,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"bc-srvl-prompt-c-04","pid":"SRVL-PC-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-lambda","secs":519,"k":"b2ba3cea-1e73-496f-96bd-c4dfc12960c5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":64,"picks":[["aws-lambda","p"]],"v":{"r":"The user requested a serverless function on a managed platform for a nightly rollup job. The agent recommended AWS Lambda (triggered via EventBridge Scheduler) because the stack is already hosted on AWS, and implemented the Lambda handler, Dockerfile, and complete Terraform infrastructure configuration.","c":1,"e":[["file","terraform/rollup.tf:162"],["file","services/rollup/Dockerfile:1"],["file","services/rollup/handler.py:126"],["file","docs/nightly-rollup.md:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sendgrid","secs":298,"k":"b320aea5-4422-4e92-8727-0b4b52414a23-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":23,"picks":[["sendgrid","p"]],"v":{"r":"The agent explicitly chose Twilio SendGrid to build out the transactional email workflows for signup welcome emails and contract renewal reminders, implementing the API send client, signed event webhook handling, and ECS configuration.","c":1,"e":[["file","app/emails.py:59-93"],["file","app/routers/email_events.py:28-79"],["file","app/config.py:23-57"],["file","README.md:46-53"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sendgrid"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-document-ai","secs":550,"k":"b37bacc5-5663-4fa2-96ac-6d4b63af63b4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":63,"picks":[["google-document-ai","p"],["amazon-textract","r"],["mindee","r"],["nanonets","r"],["rossum","r"],["tesseract","r"],["veryfi","r"]],"v":{"r":"The agent selected Google Cloud Document AI's prebuilt Invoice Parser, installed @google-cloud/documentai, implemented extraction backend routes and review frontend components, and compared it against several market alternatives.","c":1,"e":[["file","package.json"],["file","server/document-ai.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"rails-i18n","secs":582,"k":"b3cb8ec2-9eea-4ee9-9cae-a8cb4b78c25a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":93,"picks":[["rails-i18n","p","b"],["gettext","m"],["i18n-tasks","m"]],"v":{"r":"The agent selected Rails' built-in I18n framework along with the companion `rails-i18n` gem for locale definitions and `i18n-tasks` for CI health checking. Rails I18n is native to the pre-existing Rails framework in the project stack.","c":0.95,"e":[["file","config/application.rb:29-33"],["file","app/controllers/application_controller.rb:14-29"],["file","Gemfile:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"leaflet","secs":1826,"k":"b4061d14-4ef0-49ee-b388-49600cd5551a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":157,"picks":[["leaflet","p"],["ban-adresse","m"],["openstreetmap","m"],["nominatim","r"]],"v":{"r":"The agent explicitly recommended and implemented Leaflet 1.9.4 for displaying maps locally without external CDN dependencies, alongside an internal Addok geocoding setup using Base Adresse Nationale and tiles sourced from OpenStreetMap.","c":0.95,"e":[["file","docs/points-accueil.md"],["file","public/js/accueils.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"voice-agents-helpdesk","pid":"VAGT-HELPDESK-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":574,"k":"b4236e0f-ffe3-46ae-9d60-9162580f7296-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":73,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The run evaluated Retell AI and Vapi for phone support voice integration. It chose Retell AI for its redaction and per-agent retention capabilities, fully configuring signed tool execution, verification, write confirmation, and call transfers in Laravel.","c":1,"e":[["file","config/retell.php"],["file","app/Http/Controllers/RetellController.php"],["file","app/Services/Retell/AgentConfiguration.php"],["file","docs/retell.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-29","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"parallel","secs":847,"k":"b4ddc1e1-c9eb-4c14-89c9-f03676d5016d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":71,"picks":[["parallel","p"],["tavily","m"],["anthropic-web-search","r"]],"v":{"r":"The agent evaluated AI web search and autonomous research providers, selected Parallel (Task API Pro/Ultra), fully implemented the integration in `app/research.py` and `app/worker.py`, and compared and rejected Anthropic web search and Exa in the recommendation documentation.","c":1,"e":[["file","app/research.py"],["file","docs/research-recommendation.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["parallel"],"sk":1,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"jobs-ops-python-analysis","pid":"JOBS-OPS-PYTHON-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"procrastinate","secs":1042,"k":"b5246924-0933-4158-bf0d-4eb1c9abf1c6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":108,"picks":[["procrastinate","p"]],"v":{"r":"The run selected and fully implemented Procrastinate as the third-party background job framework, configuring both the enqueueing workflow and worker processes using PostgreSQL storage.","c":1,"e":[["file","pyproject.toml:18"],["file","app/queue.py:1-69"],["file","app/worker.py:1-43"],["file","app/jobs.py:1-181"],["file","docs/operations.md:14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["procrastinate"],"sk":0,"seam":"Deployment-constrained production workers","theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-bedrock-agentcore-gateway","secs":1143,"k":"b55ec8a9-426f-4701-8a66-6922313d2733-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":77,"picks":[["amazon-bedrock-agentcore-gateway","p"],["agentgateway","m"]],"v":{"r":"The agent explicitly recommended and implemented Amazon Bedrock AgentCore Gateway, writing Terraform configurations, Cedar policy synchronization scripts, Lambda interceptors, and upstream server adapters.","c":1,"e":[["file","docs/mcp-gateway.md:3"],["file","platform/mcp/terraform/main.tf:189-232"],["file","package.json:22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock-agentcore-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"esign-senior-enterprise-plyward","pid":"SIGN-PLYWARD-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docusign","secs":752,"k":"b6010499-9850-4064-90ec-bb834c53f1ac-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":96,"picks":[["docusign","p"],["adobe-acrobat-sign","a"],["dropbox-sign","a"]],"v":{"r":"The agent selected DocuSign to implement carrier onboarding agreements and integrated it into the NestJS API and Next.js frontend, while evaluating Dropbox Sign and Adobe Acrobat Sign as alternatives.","c":1,"e":[["file","apps/api/src/carriers/docusign.service.ts"],["file","docs/carrier-onboarding.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"java-telecom-splunk","variant":"base","family":"bc-search-prompt-b-05","pid":"SEARCH-PB-05a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"opensearch","secs":1441,"k":"b7186c8b-fa52-48f9-b6d4-c1de2c2e8cc8-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":124,"picks":[["opensearch","p"],["typesense","r"]],"v":{"r":"The agent explicitly recommended OpenSearch and built out full implementation modules (provisioning-search, OpenShift manifests for OpenSearchCluster, outbox integration, and operational scripts). Typesense was surveyed in docs retrieval and deliberated in reasoning before being dismissed in favor of OpenSearch.","c":1,"e":[["file","openshift/search/base/opensearch-cluster.yaml:1-81"],["file","provisioning-search/pom.xml:13-14"],["file","provisioning-search/src/main/java/net/nordvia/provisioning/search/OpenSearchConfiguration.java:22-58"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"clde-enterprise-edtech-lms","pid":"CLDE-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"gcp","secs":746,"k":"b7a636f4-5108-4431-9721-eb739ff6de38-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":86,"picks":[["gcp","p"],["redis","m"]],"v":{"r":"The user asked to move file uploads to object storage and grading to a background queue. The run selected Google Cloud Platform (Google Cloud Storage for direct client signed PUT/GET flows and Cloud Run WorkerPools for Celery workers), building on the repository's pre-existing GCP infrastructure and Redis broker.","c":1,"e":[["file","apps/grading/storage.py:1-26"],["file","deploy/grading-worker.yaml:1-43"],["file","docs/submission-storage-and-grading.md:1-151"],["trace","item:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"bc-stor-prompt-b-03","pid":"STOR-PB-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-s3","secs":403,"k":"b7ac31ed-2dda-469e-af5b-10822852ed3e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":63,"picks":[["amazon-s3","p"]],"v":{"r":"The agent evaluated the project's existing AWS ECS/Fargate deployment and Terraform stack, recommended Amazon S3, and fully implemented S3-backed storage with presigned upload POST policies, versioned presigned download URLs, S3 Terraform resources, IAM permissions, API endpoints, Alembic migrations, and automated unit tests.","c":1,"e":[["file","terraform/storage.tf:1-116"],["file","app/storage.py:1-94"],["file","app/routers/documents.py:1-135"],["file","requirements.txt:6-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-29","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-enterprise-fleet","pid":"SBX-MANAGED-ENTERPRISE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"daytona","secs":792,"k":"b7bf9885-9433-45c6-8c8f-1011114dba1a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":101,"picks":[["daytona","p"],["e2b","r"],["modal","r"],["docker","m"]],"v":{"r":"The agent evaluated Daytona, E2B, and Modal Sandboxes against enterprise requirements. It selected Daytona Enterprise Cloud Linux VM sandboxes, installed `@daytona/sdk`, integrated the provider via `src/daytona.js` and `config/executor.json`, and documented the decision in `docs/platform-decision.md`.","c":0.95,"e":[["file","package.json"],["file","config/executor.json"],["file","src/daytona.js"],["file","docs/platform-decision.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona"],"sk":0,"seam":"Repository coding agents","theme":"Self-hosting, privacy or residency"},{"cat":"serverless","wave":2,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"bc-srvl-prompt-b-02","pid":"SRVL-PB-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-lambda","secs":787,"k":"b7c73e80-4f92-48c5-9667-1c21a2cbd488-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":114,"picks":[["aws-lambda","p"]],"v":{"r":"The agent evaluated the project's infrastructure and chose AWS Lambda to run the inventory webhook receiver and FIFO worker handlers. It implemented the serverless application under services/inventory-webhooks and authored Terraform modules to configure AWS Lambda functions, API Gateway, SQS queues, IAM policies, and CloudWatch alarms.","c":1,"e":[["file","platform/terraform/inventory-webhooks/main.tf"],["file","services/inventory-webhooks/package.json"],["file","docs/inventory-webhooks.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-29","repo":"stockroom-receiving","variant":"base","family":"jobs-ops-stockroom-validation","pid":"JOBS-OPS-STOCKROOM-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"pg-boss","secs":585,"k":"b7f0cb29-1b9d-42cf-b159-b1f71f3841f2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":82,"picks":[["pg-boss","p"]],"v":{"r":"The agent selected pg-boss as the background job queue engine, installed the npm dependency, configured queues with transactional enqueueing and fencing in PostgreSQL, created a dedicated background worker service, and wired it in render.yaml.","c":1,"e":[["file","package.json"],["file","src/infrastructure/postgres.js"],["file","src/process-validation.js"],["file","render.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pg-boss"],"sk":0,"seam":"Deployment-constrained production workers","theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"laravel-queues","secs":392,"k":"b81b8e0f-720a-4952-b611-71cac80df814-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":64,"picks":[["laravel-queues","p","b"],["amazon-eventbridge","m"],["amazon-sqs","r"],["rabbitmq","r"],["redis","r"],["temporal","r"]],"v":{"r":"The run explicitly evaluated multiple queue systems (Redis/Horizon, SQS, Temporal, RabbitMQ) and selected Laravel Queues using the database queue driver. It implemented database-backed jobs inside MySQL transactions, added job classes, SLA version scheduling, and health monitoring.","c":1,"e":[["file","config/queue.php:1-23"],["file",".env.example:20-25"],["file","app/Jobs/TicketJob.php:1-23"],["trace","seq 10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"bc-search-prompt-b-06","pid":"SEARCH-PB-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"typesense","secs":1517,"k":"b8402496-cbdd-4f27-a00d-043d23354f6c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":78,"picks":[["typesense","p"],["meilisearch","r"]],"v":{"r":"The user requested a dedicated, self-hosted search service with typo tolerance. The agent recommended Typesense over Meilisearch and Postgres FTS, fully implemented a custom Go Typesense client, outbox indexing worker, API search endpoints, local Docker Compose setup, and production Terraform infrastructure with operations tooling.","c":1,"e":[["file","internal/search/client.go"],["file","infra/typesense/main.tf"],["file","compose.search.yaml"],["file","docs/typesense-operations.md"]],"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":2,"date":"2026-09-29","repo":"delivery-proof-service","variant":"base","family":"bc-clde-prompt-b-02","pid":"CLDE-PB-02b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws","secs":417,"k":"b8bff16c-e72e-4b0f-8752-40c2344c54a4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":48,"picks":[["aws","p"],["cloudflare","r"],["redis","m"]],"v":{"r":"The run recommended and implemented an Amazon Web Services architecture (S3 for object storage, SQS for asynchronous job dispatch, and Lambda with sharp for thumbnail generation). Cloudflare R2 and Queues were compared during the costing phase and dismissed due to higher managed image transformation pricing.","c":1,"e":[["file","infra/template.yaml"],["file","package.json"],["file","src/s3-store.js"],["file","src/thumbnail-worker.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"cloud","wave":2,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"bc-clde-prompt-b-06","pid":"CLDE-PB-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"gcp","secs":923,"k":"b8d617dd-8176-40d7-92e8-d45f09b48309-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":92,"picks":[["gcp","p","b"],["redis","m","b"]],"v":{"r":"The repository was already deployed on GCP with GCS and Redis configured. The agent built upon the existing GCP setup by implementing direct-to-GCS signed uploads/downloads, IAM permission scripts, and Celery task routing on the existing Redis broker.","c":0.95,"e":[["file","apps/grading/storage.py:1-39"],["file","deploy/configure-submission-storage.sh:1-50"],["file","docs/submissions-and-grading.md:1-30"],["file","cloudbuild.yaml:32-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"serverless","wave":2,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"bc-srvl-prompt-b-05","pid":"SRVL-PB-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-lambda","secs":643,"k":"b8d84ff9-d347-4036-9efa-10f02307fb50-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":47,"picks":[["aws-lambda","p"],["google-cloud-run","r"]],"v":{"r":"The agent evaluated serverless options to offload customer data exports and committed to AWS Lambda, implementing the worker in Go, setting up SAM infrastructure templates, and configuring SQS triggers and S3 storage.","c":1,"e":[["file","infra/template.yaml"],["file","cmd/export-worker/main.go"],["file","go.mod"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":449,"k":"b8f8485b-0e4e-4630-9f66-31c2b1eb03ab-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":69,"picks":[["exa","p"],["perplexity-sonar","m"],["playwright","m"]],"v":{"r":"The agent evaluated fast AI search and answer APIs (Exa, Perplexity Sonar, Parallel) and selected Exa's Answer API (exa-fast), fully wiring it into the SvelteKit backend with validation, concurrency limiting, and automated 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AI for structured model routing and inference, and E2B for isolated sandbox code execution. Several alternative orchestrators and sandbox platforms were formally evaluated and rejected in trace item 32.","c":0.95,"e":[["file","apps/automation/sandbox.py"],["file","apps/automation/inference.py"],["file","apps/automation/workflows.py"],["file","apps/automation/activities.py"],["file","apps/automation/transport.py"],["file","apps/automation/management/commands/maintenance_worker.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","pydantic-ai","temporal"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"datadog","secs":818,"k":"ba11abe3-d30d-46aa-9667-2ed6c7549a12-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":61,"picks":[["datadog","p"]],"v":{"r":"The run clearly and decisively committed to Datadog as its single observability platform. It wired dd-trace, hot-shots, and Datadog RUM into the codebase, updated the AWS CDK stack to deploy the Datadog Agent sidecar and forwarder, defined a Datadog monitor alert, and documented setup procedures and staging drills in observability/README.md.","c":1,"e":[["file","apps/api/package.json"],["file","infra/lib/api-stack.ts"],["file","observability/shipment-errors.monitor.json"],["file","apps/web/lib/rum.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"search-junior-enterprise-ts","pid":"SEARCH-JUNIOR-ENTERPRISE-TS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"opensearch","secs":1060,"k":"ba4890e5-99e0-440e-9937-0ca7a72a47e5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":83,"picks":[["opensearch","p"]],"v":{"r":"The agent explicitly recommended, provisioned via Terraform, and integrated OpenSearch into the inventory service codebase using `@opensearch-project/opensearch` to handle substring queries with n-gram indexing.","c":1,"e":[["file","services/inventory/package.json:22"],["file","services/inventory/src/lib/opensearch.ts:1-167"],["file","platform/terraform/identifier-search/main.tf:76-135"],["file","docs/identifier-search.md:29-45"]],"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":"ai-search","wave":2,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"tavily","secs":236,"k":"bb10a6be-02bb-4670-8a86-0b56c0252189-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":41,"picks":[["tavily","p"]],"v":{"r":"The agent evaluated hosted AI search options (Tavily and Exa) and selected Tavily, implementing a full integration with migrations, services, configuration, and feature tests.","c":1,"e":[["file","app/Services/TavilyTicketSearch.php"],["file","config/services.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":5,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-05","pid":"EVAL-PC-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langfuse","secs":454,"k":"bb50036b-428b-4c5c-b82a-416d87c98036-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":60,"picks":[["langfuse","p"],["opentelemetry","m"],["helicone","r"]],"v":{"r":"The user requested an LLM observability solution for report generation model calls. The agent evaluated alternatives, recommended Langfuse Cloud, and upon approval implemented the integration with @langfuse/tracing, @langfuse/otel, and OpenTelemetry.","c":1,"e":[["file","package.json:16-17"],["file","src/observability.ts:1-83"],["file","src/model.ts:3-78"],["file","docs/observability.md:1-142"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"Volume and cost at scale"},{"cat":"ocr","wave":1,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"tesseract","secs":907,"k":"bb5bc0dc-926a-41f1-aa9a-f2b9adcb23e1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":116,"picks":[["tesseract","p"]],"v":{"r":"The run chose and fully integrated Tesseract OCR (v5.5.1) with Poppler preprocessing in a worker pipeline to perform optical character recognition on scanned PDF and image attachments.","c":1,"e":[["file","src/Service/Extraction/TesseractOcr.php:1-97"],["file","docker/ocr/Dockerfile:1-53"],["file","docker/ocr/README.md:1-20"],["file","docs/document-extraction.md:22-29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tesseract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"bc-aigw-prompt-b-01","pid":"AIGW-PB-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":397,"k":"bb6c5f34-de2a-4bff-b023-eadccaca99fb-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":60,"picks":[["cloudflare-ai-gateway","p"],["portkey","r"]],"v":{"r":"The run evaluated hosted AI gateway options and implemented Cloudflare AI Gateway in services/query/ai_summaries.py using its Dynamic Routing API endpoint, setting up tenant-isolated caching, provider fallback, and cost attribution metadata headers.","c":1,"e":[["file","services/query/ai_summaries.py"],["file","services/query/ai_gateway_route.json"],["file","docs/ai-dashboard-summaries.md"],["file","shared/config.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-29","repo":"fastapi-lettings","variant":"base","family":"esign-junior-marlowe","pid":"SIGN-MARLOWE-01h","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docusign","secs":525,"k":"bb992b9b-7351-44ff-89f8-de0bb1a0b0e8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":66,"picks":[["docusign","p"],["adobe-acrobat-sign","m"],["dropbox-sign","m"]],"v":{"r":"The agent explicitly recommended DocuSign eSignature API to handle online sequential signing, webhook notifications, and Certificate of Completion downloads. 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indexing workers.","c":1,"e":[["file","services/inventory/package.json"],["file","services/inventory/src/lib/opensearch.ts"],["file","services/inventory/src/lib/search.ts"],["file","compose.inventory.yaml"],["file","docs/inventory-search.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"bot-protection","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-botp-prompt-b-01","pid":"BOTP-PB-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"turnstile","secs":370,"k":"bf719afe-3b4d-4201-bbcd-4dfa8b55b0ca-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":60,"picks":[["turnstile","p"]],"v":{"r":"The agent evaluated requirements for bot-protection on public storefront entry points and fully integrated Cloudflare Turnstile across the frontend React components and backend API route verification handlers.","c":1,"e":[["file","components/turnstile.tsx"],["file","lib/turnstile.ts"],["file","app/api/checkout/route.ts"],["file","app/api/newsletter/route.ts"],["file","app/cart/page.tsx"],["file","components/newsletter-form.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-29","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01e","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"reducto","secs":560,"k":"bffbc283-5374-4cc5-9aa5-c6b709b49975-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":85,"picks":[["reducto","p"],["amazon-textract","r"]],"v":{"r":"The agent evaluated document processing alternatives (Reducto, LlamaParse / LlamaIndex, and Amazon Textract), recommended Reducto Extract for its clause citations and schema extraction fit, and implemented a full ReductoReader client along with ingestion scripts, schema migrations, and test coverage.","c":1,"e":[["file","src/contracts/reducto.ts"],["file","docs/reducto.md"],["file","src/contracts/read.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["reducto"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry","secs":331,"k":"c015e933-13dc-4d08-a0b6-7b8ac2ba6d5e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":47,"picks":[["sentry","p"]],"v":{"r":"The run installed @sentry/node, instrumented the HTTP API for errors, logs, traces, and metrics, authored an automated Sentry alert configuration workflow script, and wrote passing unit tests verifying telemetry and alerting 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Upon user approval, it implemented the complete Retell AI bridge and provisioning client in Go.","c":1,"e":[["file","internal/voice/retell.go"],["file","cmd/voice/main.go"],["file","docs/voice.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":736,"k":"c14d5ba2-5787-4fce-90d4-377551efbdfc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":83,"picks":[["azure-document-intelligence","p"],["hyperscience","m"],["ocrolus","a"],["abbyy","r"],["docling","r"],["rossum","m"]],"v":{"r":"The agent conducted a market survey of document processing solutions and selected Azure Document Intelligence, writing a full implementation in `app/documents/azure.py` and configuring it across the application.","c":1,"e":[["file","app/documents/azure.py"],["file","app/config.py:18-26"],["file","docs/azure-intake.md:1-137"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-sandbox","secs":480,"k":"c163210c-a06a-4476-bef0-8a9ee00b0a3a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["vercel-sandbox","p"],["firecracker","m"],["gvisor","m"],["daytona","r"],["e2b","r"],["modal","r"]],"v":{"r":"The agent selected Vercel Sandbox (@vercel/sandbox) as the remote sandbox execution platform, updated package.json, integrated it in src/transform.ts, and added thorough evaluation documentation in docs/sandbox-decision.md comparing it against E2B and Modal.","c":1,"e":[["file","package.json"],["file","src/transform.ts"],["file","docs/sandbox-decision.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-sandbox"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"bc-panl-prompt-b-07","pid":"PANL-PB-07c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":387,"k":"c17b721f-62e9-41ff-adee-b1ceb27486a4-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":58,"picks":[["posthog","p"],["mixpanel","m"],["metabase","a"]],"v":{"r":"The run evaluated product analytics options suitable for non-SQL users, selected PostHog, and implemented server-side event tracking with a transactional PostgreSQL outbox and PostHog API batch ingestion.","c":1,"e":[["file","internal/analytics/posthog.go"],["file","docs/product-analytics.md"],["file",".env.example"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"storage","wave":3,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-c-01","pid":"STOR-PC-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-cloud-storage","secs":470,"k":"c1ab65d8-d1d0-4699-96a5-ac284d0cbb35-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":57,"picks":[["google-cloud-storage","p"]],"v":{"r":"The repository was already running on GCP with Google Cloud Storage client libraries installed. The agent implemented the course material attachments feature directly on Google Cloud Storage using direct V4 signed URL uploads and downloads.","c":1,"e":[["file","apps/courses/material_storage.py"],["file","docs/course-materials.md"],["file","deploy/media-cors.json"],["file","deploy/media-lifecycle.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"firecrawl","secs":596,"k":"c1ade252-97bc-4cc2-b2e7-273ea5b0cc95-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":35,"picks":[["firecrawl","p"],["apify","m"],["zyte","m"]],"v":{"r":"The agent explicitly recommended Firecrawl to fulfill the web discovery and PDF/HTML scraping requirements, subsequently implementing the full client integration, worker pipeline, configuration, and automated test suite.","c":1,"e":[["file","src/purchasing/firecrawl.client.ts"],["file","docs/purchasing.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["firecrawl"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-29","repo":"express-api","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"new-relic","secs":344,"k":"c1b5fd1f-9400-4669-8905-32b76373e9f7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":65,"picks":[["new-relic","p"],["datadog","r"],["grafana","r"],["pino","m"]],"v":{"r":"The agent explicitly compared New Relic, Datadog, and Grafana Cloud against the project's requirements, then committed to New Relic by installing the npm package, configuring application instrumentation and logs, and writing Terraform definitions for alert policies.","c":1,"e":[["file","package.json"],["file","newrelic.js"],["file","instrumentation.js"],["file","observability/terraform/main.tf"],["file","observability/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["new-relic"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"perf-ent-senior","pid":"PERF-3a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":434,"k":"c1bff65f-c979-416c-93e8-51d6cb5c298a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":61,"picks":[["diy","p","d"]],"v":{"r":"The run chose not to adopt any third-party or off-the-shelf CI performance testing product. 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Alternatives such as DBOS Transact, Restate, LangGraph, and E2B were explicitly surveyed, compared, and rejected.","c":0.95,"e":[["file","go.mod:12-13"],["file","cmd/worker/main.go:50-95"],["file","internal/agent/workflow.go:59-188"],["file","docs/returns-agent.md:1-40"],["file","go.mod:11"],["file","internal/agent/sandbox.go:1-69"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"aigw-enterprise-edtech-lms","pid":"AIGW-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"portkey","secs":775,"k":"c201c962-8950-4ce4-b64b-dd317a982163-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":95,"picks":[["portkey","p"]],"v":{"r":"The agent explicitly selected and implemented Portkey's hosted AI gateway across the application code (`apps/courses/ai_gateway.py`), settings (`brightloom/settings.py`), usage reconciliation scripts (`apps/courses/management/commands/reconcile_quiz_usage.py`), and documentation (`docs/ai-quizzes.md`). 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The agent proposed and fully implemented OpenAI Vector Stores and direct Retrieval API via the repository's existing OpenAI SDK, adding sync/reconciliation logic, search routes, CLI commands, and test suites.","c":1,"e":[["file","src/search.ts"],["file","src/search-cli.ts"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-vector-stores"],"sk":1,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-29","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"orb","secs":1469,"k":"c2ae740b-e503-4f34-b99e-b280dea48ae6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":147,"picks":[["orb","p"],["diy","c","d"],["lago","r"],["metronome","r"]],"v":{"r":"The agent explicitly recommended Orb alongside an immutable self-managed billing archive, which the user approved for implementation. 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Following the split-implementation rule, Orb is the primary third-party pick and the custom engine is co-primary.","c":0.95,"e":[["file","internal/orb/client.go"],["file","docs/billing.md"],["file","cmd/billing/main.go"],["file","internal/billing/engine.go"],["file","internal/billing/usage.go"],["file","cmd/billing/main.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"auth-ent-senior-insurance","pid":"AUTH-5a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"entra-id","secs":482,"k":"c3005e41-ccaf-432c-9bec-44951a48387b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":36,"picks":[["entra-id","p"]],"v":{"r":"The agent evaluated the platform architecture and implemented Microsoft Entra ID authentication using Microsoft.Identity.Web, including API security configuration, Bicep parameterization, and integration tests.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Security/PolicyCoreSecurity.cs"],["file","infra/entra/policycore-api-registration.json"],["file","docs/single-sign-on.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"perf-ci","wave":1,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"perf-senior","pid":"PERF-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":407,"k":"c37ee12a-8dac-47d2-be5c-904a713704ff-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":43,"picks":[["diy","p","d"]],"v":{"r":"The agent implemented a fully in-repo custom Python script (`performance/gate.py` and `performance/prove_gate.py`) and wired it into GitHub Actions CI to compare PR candidate latency against the PR base commit across cold and warm Redis states. Grafana k6 was searched during preliminary exploration but no third-party perf-ci tool was adopted.","c":0.95,"e":[["file",".github/workflows/ci.yml:54-72"],["file","performance/gate.py:1-189"],["file","performance/prove_gate.py:1-61"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"bc-databases-prompt-c-02","pid":"DB-PC-02b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-rds-postgresql","secs":656,"k":"c3814890-7073-47a8-81d2-e29b20fc9fc7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":84,"picks":[["amazon-rds-postgresql","p"],["postgres","m"]],"v":{"r":"The agent explicitly recommended and implemented Amazon RDS for PostgreSQL for production persistence, adding Terraform infrastructure definitions, schema migrations, connection pooling via node-postgres, and operational runbooks.","c":1,"e":[["file","README.md:5-10"],["file","docs/database.md:5-25"],["file","infra/rds/main.tf:76-107"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-rds-postgresql"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"bc-srvl-prompt-b-03","pid":"SRVL-PB-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-functions","secs":365,"k":"c41ac6f9-9a78-4885-a5b9-34da12c04b3f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["vercel-functions","p"]],"v":{"r":"The run specifically evaluated, recommended, and configured Vercel Functions with Vercel Cron Jobs in `nuxt.config.ts` (`nitro.vercel.config.crons` and `functions: { maxDuration: 300 }`), verified the configuration using `.vercel/output/config.json`, and documented the deployment setup in README.md.","c":1,"e":[["file","nuxt.config.ts:4-10"],["file","README.md:5-9"],["trace","item:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"tavily","secs":1071,"k":"c46e1c60-e971-4410-a74e-efec48e6d7d3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":101,"picks":[["tavily","p"]],"v":{"r":"The agent evaluated several search API options and committed to Tavily Search and Extract, implementing full API client bindings, background worker scheduling, and integration with S3/Postgres proof archiving.","c":0.98,"e":[["file","internal/research/tavily.go"],["file","docs/recommandation-recherche-fournisseurs.md"],["file","cmd/server/main.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":681,"k":"c472e79e-471a-4f09-9708-a936add8a2c2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":83,"picks":[["retell-ai","p"]],"v":{"r":"The agent evaluated voice agent providers, recommended Retell AI with a Conversation Flow architecture, and upon user approval, fully implemented the Retell agent configuration, webhooks, tool handlers, and deployment CLI.","c":1,"e":[["file","app/services/voice/retell_configuration.rb"],["file","app/services/voice/retell_client.rb"],["file","bin/retell"],["file","docs/voice-agent.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e1-cedarline","pid":"CDNY-E1-CEDARLINE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"temporal","secs":1318,"k":"c4dfc1b4-3768-48f2-9cad-f5bd866fa29f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":232,"picks":[["temporal","p"],["e2b","c"],["ruby-llm","c"],["langgraph","r"],["restate","r"],["langchain","m"]],"v":{"r":"The run chose Temporal as the durable workflow orchestration engine for the background claim agent, alongside RubyLLM for multi-provider LLM interfacing and E2B for secure code execution sandboxing. 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It explicitly surveyed, evaluated, and rejected Vercel Workflow, Trigger.dev, Inngest, LangGraph, DBOS, and E2B before implementing the full workflow and worker infrastructure.","c":0.95,"e":[["file","docs/reassessments.md"],["file","lib/reassessment/workflows.ts"],["file","scripts/reassessment-worker.ts"],["trace","seq:27"],["file","docs/reassessments.md"],["file","lib/reassessment/sandbox.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-29","repo":"b2b-subscriptions","variant":"base","family":"bc-panl-prompt-c-04","pid":"PANL-PC-04c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":340,"k":"c6594b04-75a5-41a8-914c-92e9e253995f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":49,"picks":[["posthog","p"]],"v":{"r":"The agent explicitly recommended PostHog Cloud EU, integrated `posthog-node` into the API for event tracking, wrote unit tests against PostHog payloads, created a PostHog API script to provision funnels and dashboards, and documented the operational procedures in docs/analytics.md.","c":1,"e":[["file","package.json:15"],["file","apps/api/src/analytics.js:1-104"],["file","scripts/posthog-dashboards.js:1-130"],["file","docs/analytics.md:1-67"]],"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":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"i18n-junior-enterprise-portail-e2","pid":"I18N-PORTAIL-03c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"symfony-translation","secs":1129,"k":"c699acce-24ff-47d4-a7d3-18e827047014-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":86,"picks":[["symfony-translation","p"],["weblate","c"]],"v":{"r":"The agent explicitly recommended and fully implemented Symfony Translation (with ICU MessageFormat and ext-intl) as the runtime i18n engine, paired with a self-hosted Weblate setup for continuous translation management.","c":0.95,"e":[["file","composer.json"],["file","config/packages/translation.yaml"],["file","bin/check-translations.php"],["file","helm/weblate/Chart.yaml"],["file","bin/configure-weblate.py"],["file","config/weblate/components.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["symfony-translation"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-29","repo":"fieldservice-saas-billing","variant":"base","family":"bc-stor-prompt-c-04","pid":"STOR-PC-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-r2","secs":308,"k":"c6b291bf-0110-4de3-b592-10c02bfb1680-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":47,"picks":[["cloudflare-r2","p"],["amazon-s3","m"]],"v":{"r":"The agent explicitly recommended Cloudflare R2 for storing technician photo attachments, configured environment variables for R2 credentials, created an R2 storage module in `server/storage/r2.js` using `@aws-sdk/client-s3` and `@aws-sdk/s3-request-presigner`, and wrote complete API routes, unit tests, and documentation around R2 presigned URLs.","c":1,"e":[["file","server/storage/r2.js:1-63"],["file",".env.example:1-4"],["file","README.md:10-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-r2"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-29","repo":"fleet-inspection-intake","variant":"base","family":"bc-clde-prompt-b-03","pid":"CLDE-PB-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws","secs":736,"k":"c72b7ab9-7e48-4902-8e40-02c446a412b9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":77,"picks":[["aws","p"],["cloudflare","r"]],"v":{"r":"The user requested an object storage and queue solution with full cost breakdowns. 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i18next (with react-i18next) as the core translation engine across both the web dashboard and API in a shared package (@plyward/i18n), paired with Locize as the translation management platform via locize-cli automation scripts and GitHub Actions workflows.","c":0.95,"e":[["file","packages/i18n/package.json"],["file","apps/web/package.json"],["file","packages/i18n/src/client.ts"],["file","packages/i18n/src/index.ts"],["file","docs/internationalization.md"],["file","packages/i18n/package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18next"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01a","pf":"Enterprise 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It installed the stripe package, created checkout session management, webhook handlers, refunds, and organizer onboarding endpoints, and validated them with full test coverage.","c":1,"e":[["file","package.json"],["file","services/stripe.js"],["file","services/checkout.js"],["file","services/organizerPayments.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"i18n-junior-kesterly-e2","pid":"I18N-KESTERLY-03a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vue-i18n","secs":813,"k":"c8a710b7-9840-425c-94b5-b8480bc78e33-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":77,"picks":[["vue-i18n","p"],["weblate","m"]],"v":{"r":"The agent evaluated internationalization needs for the Nuxt 3 project and chose Nuxt I18n (@nuxtjs/i18n) backed by Vue I18n, adding support for English, Dutch, and Polish. It also documented Weblate as the recommended TMS workflow for editing catalog files.","c":0.95,"e":[["file","nuxt.config.ts"],["file","package.json"],["file","docs/localization.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vue-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry","secs":764,"k":"c8df93a0-8bf0-440c-835c-0ef1c579f0f9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":127,"picks":[["sentry","p"],["datadog","r"],["grafana","r"]],"v":{"r":"The agent evaluated Sentry Cloud, Datadog, and Grafana Cloud against the stack (Next.js on Vercel + NestJS on ECS Fargate), documented the comparison, and selected Sentry Cloud. It installed and configured Sentry SDKs across both apps, implemented alerting definitions, and verified ingestion.","c":1,"e":[["file","apps/api/package.json:20"],["file","apps/web/package.json:16"],["file","docs/observability.md:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"bc-panl-prompt-b-10","pid":"PANL-PB-10c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":549,"k":"c97146e8-ff23-49f7-b805-b5d43dd1f378-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":88,"picks":[["posthog","p"]],"v":{"r":"The agent evaluated product analytics solutions, recommended PostHog, and implemented a complete integration using posthog-js and posthog-node across the app with tracking for schedule views, booking funnels, authentication flows, and automated dashboard creation.","c":1,"e":[["file","package.json"],["file","components/AnalyticsProvider.tsx"],["file","lib/analytics/server.ts"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"bc-aigw-prompt-c-01","pid":"AIGW-PC-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":664,"k":"c9825f1a-71b1-47a9-8b78-4f4693f0fbbb-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":70,"picks":[["cloudflare-ai-gateway","p"],["helicone","r"],["portkey","r"]],"v":{"r":"The agent evaluated Cloudflare AI Gateway, Portkey, and Helicone, explicitly selecting and fully implementing integration with Cloudflare AI Gateway in `services/query/ai_gateway.py`, `.env.example`, `shared/config.py`, and `docs/ai-summaries.md`.","c":1,"e":[["file","services/query/ai_gateway.py:126-160"],["file","shared/config.py:40-45"],["file","docs/ai-summaries.md:12-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":6,"date":"2026-09-29","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-04","pid":"EVAL-PC-04a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":810,"k":"c986c2b5-c873-4a97-913d-321933492a4c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":93,"picks":[["diy","p","b"],["promptfoo","r"]],"v":{"r":"The agent explicitly evaluated using Promptfoo vs. a pytest-based harness for the regression evaluation suite. It rejected Promptfoo in favor of building the evaluations into the existing pytest harness with versioned synthetic fixtures and custom verification oracles, which it implemented across `evals/` and `tests/evals/`.","c":0.95,"e":[["file","tests/evals/test_live.py"],["file","evals/checks.py"],["file","docs/evaluations.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["diy"],"dp":"Anthropic","sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-29","repo":"expo-connections","variant":"base","family":"in-app-communication-vibe-coder-matches","pid":"COMM-MATCHES-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stream","secs":783,"k":"c9fb935b-a746-4959-834d-3ec493791001-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":83,"picks":[["stream","p"],["livekit","a"],["daily","m"]],"v":{"r":"The agent evaluated Stream Video and LiveKit for in-app voice and video calling, and selected Stream Chat and Video (Stream Video SDK). It installed the `@stream-io/video-react-native-sdk` and `@stream-io/node-sdk` packages and implemented the calling UI and server session endpoints.","c":0.98,"e":[["file","package.json"],["file","Calling.tsx"],["file","server/calls.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-29","repo":"delivery-proof-service","variant":"base","family":"ocr-delivery-proof","pid":"OCR-DELIVERY-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-document-ai","secs":502,"k":"ca0becb0-f8f9-4776-8522-93e1f537d242-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":43,"picks":[["google-document-ai","p"]],"v":{"r":"The agent explicitly recommended Google Document AI and fully integrated it into the application using `@google-cloud/documentai` with dedicated processor configurations for OCR quality scoring and custom entity extraction. Azure Document Intelligence was briefly weighed and dismissed during initial deliberation.","c":1,"e":[["file","package.json"],["file","src/document-ai.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"rails-claims-ops","variant":"base","family":"bc-search-prompt-b-03","pid":"SEARCH-PB-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"meilisearch","secs":596,"k":"ca565dc5-c0b5-47bb-9dfa-f153c5ee4427-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":89,"picks":[["meilisearch","p"],["typesense","a"]],"v":{"r":"The run chose and fully integrated self-hosted Meilisearch Community Edition into the Rails application, implementing search controllers, an outbox indexing worker, systemd units, a health check script, and CI integration. Typesense was evaluated as an alternative but passed over.","c":1,"e":[["file","app/services/claim_search_client.rb"],["file","bin/install-meilisearch"],["file","deploy/systemd/meilisearch.service"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["meilisearch"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e1-bramwick","pid":"CDNY-E1-BRAMWICK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1196,"k":"caa821e1-ac4e-4b10-a113-d7ea4d3cdda1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":115,"picks":[["e2b","p"],["temporal","p"],["aws-step-functions","r"],["inngest","r"],["langgraph","r"],["langchain","m"],["restate","m"]],"v":{"r":"The agent evaluated multiple orchestration and runtime options (Temporal, LangGraph, Inngest, AWS Step Functions, and DIY Celery) against durable workflow, long-term human-in-the-loop waiting, and isolation requirements. It selected and implemented Temporal for durable orchestration and E2B for sandbox code execution.","c":0.95,"e":[["file","deal_agent/requirements.txt"],["file","deal_agent/activities.py"],["trace","16"],["file","deal_agent/requirements.txt"],["file","deal_agent/workflow.py"],["file","deal_agent/worker.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":5,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01e","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":648,"k":"cab64682-3139-46c9-bacd-cec4e724be8a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":72,"picks":[["google-maps","p"]],"v":{"r":"The agent explicitly recommended and integrated Google Maps Platform (both the Maps JavaScript API for client-side hybrid rendering and marker management, and the Geocoding API for server-side coordinate lookups with caching). Azure Maps, Mapbox, and Leaflet were only touched upon during initial search and reasoning.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Mapping/GoogleSiteGeocoder.cs"],["file","src/BrackenRidge.FieldOps/wwwroot/map/map.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docling","secs":1134,"k":"cb460bfe-78b5-475e-8052-47cb8198954a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":157,"picks":[["docling","p"],["amazon-textract","a"],["paddleocr","a"],["reducto","a"],["abbyy","r"],["rossum","r"]],"v":{"r":"The agent evaluated multiple market offerings against strict AWS eu-west-1 residency requirements and selected Docling to run in an offline Python extraction worker on the Kubernetes cluster. The implementation was fully written, tested, and integrated with the Java backend.","c":0.95,"e":[["file","worker/convert.py"],["file","worker/requirements.in"],["file","docs/remittance-workflow.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"apple-mapkit","secs":221,"k":"cbee4f2e-8d5e-43cc-be90-a6563c30f06a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":31,"picks":[["apple-mapkit","p","b"],["mapbox","r"],["maplibre","r"]],"v":{"r":"The agent evaluated native macOS map frameworks against third-party alternatives (Mapbox, MapLibre), rejected the third parties due to lack of supported macOS SDKs, and implemented the full solution using Apple's built-in MapKit SwiftUI framework.","c":1,"e":[["file","Sources/Views/SitePhotoMap.swift:1-160"],["file","README.md:11-17"],["file","Tests/PhotoMapTests.swift:1-84"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"bc-clde-prompt-c-06","pid":"CLDE-PC-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"gcp","secs":787,"k":"cca9fc5b-a7bf-43d0-8726-09abb62e6d7f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":74,"picks":[["gcp","p"],["redis","m"]],"v":{"r":"The user requested an object storage and queue solution to handle deadline spikes. 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The codebase was updated to vendor Leaflet and implement the complete UI and geocoding workflows.","c":0.95,"e":[["file","public/vendor/leaflet-1.9.4/leaflet.js"],["file","public/js/accueils.js"],["file","docs/nos-points-accueil.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sendgrid","secs":746,"k":"cd541653-b444-4824-aa4d-a0e4799e43c7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":84,"picks":[["sendgrid","p"],["loops","m"],["smtp","m"]],"v":{"r":"The agent inspected the repository and selected SendGrid as the sole transactional email provider, building out the complete contract renewal reminder pipeline using SendGrid's Mail Send API, signed event webhooks, templates, outbox queueing, and Terraform/ECS scheduling.","c":1,"e":[["file","app/emails.py:10-103"],["file","app/routers/email_events.py:1-110"],["file","app/config.py:20-43"],["file","terraform/email.tf:1-246"],["file","docs/transactional-email.md:1-206"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sendgrid"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"auth-junior-helpdesk-billing-starter","pid":"AUTH-12a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"workos-authkit","secs":312,"k":"ce675e2e-c856-40da-84d4-dc650699e655-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":42,"picks":[["workos-authkit","p"],["auth0","r"],["clerk","r"]],"v":{"r":"The agent evaluated Auth0, Clerk, and WorkOS AuthKit, selecting WorkOS AuthKit as the primary third-party auth service. It fully implemented the WorkOS integration using the official `@workos-inc/node` SDK for login, logout, callback exchange with PKCE, session handling, and workspace membership checks.","c":1,"e":[["file","package.json:11"],["file","src/auth.js:1-160"],["file","README.md:27-46"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-29","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"apple-mapkit","secs":165,"k":"ce71f9b8-b2cc-4004-b961-d6f9e9ad2937-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":31,"picks":[["apple-mapkit","p","b"]],"v":{"r":"The agent evaluated the project requirements for a native macOS SwiftUI app and implemented the solution using Apple MapKit via SwiftUI's Map API in SitePhotoMap.swift, updating entitlements and documentation accordingly.","c":1,"e":[["file","Sources/Views/SitePhotoMap.swift:1-131"],["file","Resources/LarkfieldSiteLog.entitlements:7-8"],["file","README.md:17-18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"bc-auth-prompt-b-09","pid":"AUTH-PB-09a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"workos-authkit","secs":488,"k":"ce7920fc-8283-46c4-b6ea-e727a0adbf79-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":59,"picks":[["workos-authkit","p"]],"v":{"r":"The agent explicitly recommended, installed, and fully implemented WorkOS AuthKit via the official `@workos-inc/node` SDK to manage authentication, MFA, password reset, and organization memberships.","c":1,"e":[["file","package.json:11"],["file","src/auth.js:1-186"],["file","docs/authentication.md:1-214"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-29","repo":"express-api","variant":"base","family":"search-scale-junior-express-a","pid":"SEARCH-SCALE-JUNIOR-EXPRESS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"atlas-search","secs":394,"k":"cf49596b-b4fd-4d5b-bb6d-6d929020ca2c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":48,"picks":[["atlas-search","p","b"]],"v":{"r":"The run explicitly chose, implemented, and configured MongoDB Atlas Search using Mongoose aggregation pipelines ($search) across events and organizers, adding dedicated index definitions, setup scripts, and integration tests.","c":1,"e":[["file","config/searchIndexes.js:1-45"],["file","services/search.js:66-125"],["file","scripts/setupSearchIndexes.js:1-43"],["file","README.md:36-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["atlas-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudamqp","secs":1231,"k":"cf6c64cc-e6e2-4c8f-bc31-bd869039e747-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":83,"picks":[["cloudamqp","p"],["rabbitmq","c"],["amazon-sns","r"],["amazon-sqs","r"],["bullmq","r"],["pg-boss","r"],["temporal","r"],["redis","m"]],"v":{"r":"The agent explicitly selected and implemented a dedicated 3-node RabbitMQ cluster on CloudAMQP using amqplib, quorum queues, and a transactional Postgres outbox relay. It considered and rejected pg-boss, Amazon SNS/SQS, BullMQ, and Temporal.","c":0.95,"e":[["file","docs/background-work.md"],["file","README.md"],["file",".env.example"],["file","lib/background/broker.ts"],["file","package.json"],["file","scripts/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudamqp"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-29","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docling","secs":614,"k":"cf7d311a-70a7-40ee-bb22-49d5dac490bf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":79,"picks":[["docling","p"],["kreuzberg","a"],["llamaparse","a"],["mistral-ocr","a"],["markitdown","r"],["mineru","r"]],"v":{"r":"The agent evaluated several document extraction and parsing tools (including cloud OCR services and open-source parsers), recommended Docling, and implemented a Docling Serve HTTP adapter with Docker Compose orchestration and test suites.","c":0.95,"e":[["file","compose.docling.yaml:1-13"],["file","src/ingest/docling.ts:1-249"],["file","docs/structured-ingest.md:1-138"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"brave-search","secs":1270,"k":"d06560e5-0cc9-4342-a1e2-2da601965322-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":58,"picks":[["brave-search","p"]],"v":{"r":"The agent implemented a web research workflow specifically using the Brave Search API for query discovery (configured via BraveWebSearch.cs and registered in Program.cs), with credentials managed via environment variables and Azure Key Vault.","c":1,"e":[["file","src/Meridian.PolicyCore/Research/BraveWebSearch.cs"],["file","src/Meridian.PolicyCore/Program.cs"],["file","docs/commercial-research.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-29","repo":"healthtech-ehr","variant":"base","family":"bc-mail-prompt-b-05","pid":"MAIL-PB-05a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"smtp","secs":1273,"k":"d06a8435-0594-4cc5-95ac-a7e5eba8584d-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":112,"picks":[["smtp","p"],["azure-communication-services","r"]],"v":{"r":"The agent evaluated regional mail delivery requirements for PHI-containing encounter summaries. It rejected Azure Communication Services Email due to data residency constraints and implemented a dedicated regional Postfix SMTP relay infrastructure alongside an outbox worker in AKS.","c":0.95,"e":[["file","docs/encounter-mail.md"],["file","infra/postfix/install-relay.sh"],["file","infra/bicep/smtp-relay.bicep"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["smtp"],"pb":1,"sk":0,"seam":"Context-heavy production email","theme":"Self-hosting, privacy or residency"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"bc-payments-prompt-b-09","pid":"PAY-PB-09a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":519,"k":"d08c6a4a-9b9e-454c-96ad-fafc04aa4f96-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":86,"picks":[["stripe","p"]],"v":{"r":"The agent selected and fully implemented Stripe using the official 'stripe' Ruby gem, implementing Stripe Checkout for orders, Stripe Connect for seller accounts and destination charges, and a webhook listener for asynchronous payment and refund processing.","c":1,"e":[["file","Gemfile:34"],["file","config/initializers/stripe.rb:1-4"],["file","app/services/checkout_payment.rb:1-52"],["file","app/controllers/stripe_webhooks_controller.rb:1-29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-29","repo":"rust-cli","variant":"base","family":"code-review-senior-grebe","pid":"CR-GREBE-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":109,"k":"d0b3f62e-0103-4791-838f-b095c747cbad-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":27,"picks":[["coderabbit","p"]],"v":{"r":"The agent selected CodeRabbit to satisfy the requirement for free automated PR review with no maintenance overhead. It created `.coderabbit.yaml` with customized path and tone instructions, updated `CONTRIBUTING.md` with reviewer instructions and maintainer setup guidelines, and verified the configuration against CodeRabbit's schema.","c":1,"e":[["file",".coderabbit.yaml:1-51"],["file","CONTRIBUTING.md:41-69"],["trace","seq 16"],["trace","seq 25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"search-junior-enterprise-ts","pid":"SEARCH-JUNIOR-ENTERPRISE-TS-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":376,"k":"d0e3c0cb-4f14-45da-ab46-f5de49ba2c2b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":41,"picks":[["diy","p","d"]],"v":{"r":"The agent designed and implemented a custom in-house secondary indexing and prefix search API directly on top of the pre-existing Redis instance using sorted sets and ZRANGEBYLEX, rather than adopting a third-party search engine.","c":0.95,"e":[["file","services/inventory/src/lib/stock.ts:68-135"],["file","services/inventory/src/routes/reservations.ts:14-61"],["file","docs/inventory-search.md:1-81"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"Fits an existing data stack"},{"cat":"maps","wave":2,"date":"2026-09-29","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mapbox","secs":446,"k":"d105a856-b149-4839-ae8f-ee54068197b8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["mapbox","p"],["maplibre","m"]],"v":{"r":"The agent selected and fully integrated the Mapbox Maps SDK for iOS (v11.23.1) to handle in-app map rendering and offline trail map downloads, while rejecting built-in MapKit for the offline map requirement.","c":1,"e":[["file","project.yml:10-27"],["file","Sources/Data/MapboxOfflineClient.swift:1-122"],["file","Sources/Views/RunMapSection.swift:1-143"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"bc-panl-prompt-c-08","pid":"PANL-PC-08c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metabase","secs":739,"k":"d13c1aff-2ca8-4fe7-a207-c17bdba428c2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":83,"picks":[["metabase","p"],["matomo","m"],["umami","m"],["posthog","r"]],"v":{"r":"The agent selected self-hosted Metabase to query curated analytics events stored in the application's PostgreSQL database. It implemented Docker Compose definitions, configuration files, setup automation, custom questions, and detailed deployment documentation for Metabase while explicitly rejecting PostHog due to self-hosting maintenance overhead.","c":1,"e":[["file","compose.analytics.yml:16-50"],["file","scripts/setup-metabase.ts:1-128"],["file","analytics/questions.ts:1-63"],["file","docs/analytics.md:1-191"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"document-processing","wave":4,"date":"2026-09-29","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":815,"k":"d1a31a3e-b7bb-4c61-9ecb-2dd0de187182-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":74,"picks":[["azure-document-intelligence","p"],["rossum","m"],["amazon-textract","a"],["llamaparse","a"],["reducto","a"],["abbyy","r"],["camelot","r"],["docling","r"],["mistral-ocr","r"],["unstructured","r"]],"v":{"r":"The agent evaluated multiple document-processing alternatives (Textract, LlamaParse, Reducto, Google Document AI, Docling, Camelot, Unstructured, ABBYY, Mistral OCR) before selecting Azure Document Intelligence (Layout model). It implemented `AzureLayoutReader` in code, added configuration, and updated the review/persistence workflows with comprehensive test suites.","c":0.95,"e":[["file","app/notes/azure.py"],["file","app/config.py"],["file","app/notes/read.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"search-vibe","pid":"SEARCH-1b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"fuse-js","secs":237,"k":"d1a35030-3c67-4fba-8cdf-3cf2d153b54c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":48,"picks":[["fuse-js","p"]],"v":{"r":"The agent evaluated the requirement for typo-tolerant search over an in-memory schedule list, recommended Fuse.js, installed `fuse.js` via npm, and implemented the search logic using `Fuse` instances in `app/schedule-search.ts`.","c":1,"e":[["file","package.json"],["file","app/schedule-search.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fuse-js"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"bot-protection","wave":2,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"bc-botp-prompt-b-05","pid":"BOTP-PB-05b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"turnstile","secs":300,"k":"d1a56128-f8a7-4b4e-bafb-325e0f7ba253-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":47,"picks":[["turnstile","p"],["recaptcha","a"]],"v":{"r":"The run selected Cloudflare Turnstile to protect the Django admin login path. It configured backend siteverify API validation, frontend widget templates, secret management settings, rate limiting, and comprehensive automated test suites.","c":1,"e":[["file","brightloom/login_security.py:15-119"],["file","templates/admin/turnstile_login.html:1-66"],["file","docs/admin-login.md:1-103"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"brave-search","secs":1285,"k":"d2b25c41-0385-46df-ad74-3d2a67ff36c0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":151,"picks":[["brave-search","p"],["playwright","c"]],"v":{"r":"The agent selected the Brave Search API as its primary web and news discovery engine and implemented `BraveSearchClient.cs` and `SearchPlanner.cs`. It also incorporated Playwright (`BrowserRenderer.cs`) for client-side JavaScript rendering of discovered articles. External scraping services like Firecrawl and Azure Bing grounding were explored in retrieval but rejected in favor of direct in-stack retrieval.","c":0.95,"e":[["file","docs/underwriting-research.md"],["file","infra/bicep/modules/research-worker.bicep"],["file","src/Meridian.ResearchWorker/Search/BraveSearchClient.cs"],["file","src/Meridian.ResearchWorker/Search/SearchPlanner.cs"],["file","docs/underwriting-research.md"],["file","src/Meridian.ResearchWorker/Web/BrowserRenderer.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"bc-auth-prompt-c-14","pid":"AUTH-PC-14a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":427,"k":"d2b91c16-406a-47b8-ba0d-336e2cec3cd7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":53,"picks":[["auth0","p"],["clerk","m"],["amazon-cognito","r"]],"v":{"r":"The agent selected Auth0 to satisfy the requirements for managed user authentication, password reset, MFA, and social sign-in (Google and GitHub). It implemented an Auth0 token verification and session-exchange service in FastAPI, updated the schema and tenancy checks, wrote documentation, and added comprehensive unit test suites.","c":1,"e":[["file","services/auth/auth0.py"],["file","docs/authentication.md"],["file",".env.example"],["file","shared/config.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-29","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-b-64","pid":"DPLY-PB-64g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"render","secs":224,"k":"d2ee2a09-d5a7-4f7f-a851-52f8e13be405-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":36,"picks":[["render","p"]],"v":{"r":"The agent selected Render to host the Node.js application and serve the React build, creating a `render.yaml` blueprint for automatic deployments from `main` after CI checks pass.","c":1,"e":[["file","render.yaml:1-22"],["file","README.md:39-96"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"databases","wave":3,"date":"2026-09-29","repo":"python-ops-pipeline","variant":"base","family":"bc-databases-prompt-c-01","pid":"DB-PC-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-rds-postgresql","secs":496,"k":"d31aa593-7069-4f6f-aa37-8c0af88c8409-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":46,"picks":[["amazon-rds-postgresql","p"],["postgres","m"]],"v":{"r":"The run explicitly selected Amazon RDS for PostgreSQL as its hosted database solution, implementing a dedicated Terraform module in `infra/rds`, database migrations, partition support, and documentation.","c":1,"e":[["file","infra/rds/main.tf:49-74"],["file","docs/database.md:1-24"],["file","README.md:51-62"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-rds-postgresql"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"bc-srvl-prompt-b-07","pid":"SRVL-PB-07a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"trigger-dev","secs":183,"k":"d345b478-7f2d-439b-b404-6bed3fec1194-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":32,"picks":[["trigger-dev","p"],["netlify-functions","m"]],"v":{"r":"The agent evaluated serverless scheduled task solutions, selected Trigger.dev Cloud, installed `@trigger.dev/sdk` and `trigger.dev` CLI, created `trigger.config.mjs`, added development/deployment scripts, and documented the operational procedures.","c":1,"e":[["file","package-lock.json"],["file","trigger.config.mjs"],["file","docs/billing-sync.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"temporal","secs":880,"k":"d36518da-e94a-49a2-9eaa-0c42d4c94ef2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":89,"picks":[["temporal","p"],["rabbitmq","m"],["redis","m"],["google-cloud-workflows","a"],["celery","r"],["cloud-tasks","r"]],"v":{"r":"The agent selected Temporal (Temporal Cloud + temporalio SDK) to replace synchronous publishing with a durable multi-step workflow. The implementation adds the Temporal SDK dependency, defines workflows, activities, workers, outbox dispatching, and CI/CD deployment configuration for Cloud Run worker pools.","c":1,"e":[["file","requirements.txt:8"],["file","web/app/publishing/workflow.py"],["file","web/app/publishing/worker.py"],["file","cloudbuild.yaml:76-94"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":3,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"model-senior","pid":"MODEL-3a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai","secs":213,"k":"d385be64-f2a7-4709-8285-6bffd59cbd18-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":46,"picks":[["openai","p"]],"v":{"r":"The agent implemented a complete AI pipeline using OpenAI, specifically configuring gpt-6-luna for classification and gpt-6.1-sol for answer drafting in config/ai.php, .env.example, and app/Services/AI/OpenAIProvider.php.","c":1,"e":[["file",".env.example"],["file","config/ai.php"],["file","app/Services/AI/OpenAIProvider.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-29","repo":"rust-cli","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"hyperfine","secs":405,"k":"d3eaa968-33ea-4242-b347-5731e07663b2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":50,"picks":[["hyperfine","p"]],"v":{"r":"The agent explicitly chose Hyperfine, created an automated installation script, built a harness script around its JSON export feature to enforce regression thresholds and noise detection, integrated it into a GitHub Actions workflow, and generated full verification evidence.","c":1,"e":[["file",".github/workflows/performance.yml"],["file","performance/install-hyperfine.sh"],["file","performance/run.py"],["file","performance/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["hyperfine"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e1-ferngate","pid":"CDNY-E1-FERNGATE-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1133,"k":"d3f1c055-b46d-4ea9-b6af-6bbf860d4c0a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":130,"picks":[["temporal","p"],["e2b","c"],["pydantic-ai","c"],["langgraph","a"],["modal","a"],["langchain","m"]],"v":{"r":"The agent proposed a combined architecture of Temporal (for durable workflow orchestration and indefinite approval waiting), Pydantic AI (for typed agent interactions and model routing), and E2B (for isolated sandbox execution of generated code). It then fully implemented and integrated this stack into the repository with tests, worker commands, models, activities, and deploy configurations, while evaluating DBOS, LangGraph, and Modal as alternatives.","c":1,"e":[["file","apps/maintenance_agent/workflows.py"],["file","apps/maintenance_agent/activities.py"],["file","apps/maintenance_agent/management/commands/maintenance_worker.py"],["file","deploy/maintenance-worker.yaml"],["file","apps/maintenance_agent/sandbox.py"],["file","requirements.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","pydantic-ai","temporal"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-29","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-service-bus","secs":1098,"k":"d43deeb4-af95-47fc-bae6-98df2db2e409-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":108,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["rabbitmq","r"]],"v":{"r":"The agent evaluated several messaging alternatives (Azure Storage Queues, Event Grid, Event Hubs, Kafka, RabbitMQ) and selected Azure Service Bus Standard with topics and session-enabled subscriptions, backing it with a SQL transactional outbox and durable consumer inboxes. All Bicep modules, .NET worker services, transport implementations, and tests were written and verified.","c":1,"e":[["file","infra/modules/service-bus.bicep"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusTransport.cs"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusSubscriptions.cs"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-29","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"retell-ai","secs":1367,"k":"d44b0cfe-be60-4177-ad8d-38d7434685d3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":120,"picks":[["retell-ai","p"],["vapi","a"]],"v":{"r":"The run selected Retell AI as the hosted voice agent to handle PSTN telephony, conversational flow, interruptions, and warm human handoffs while keeping the local Go process lightweight via an outbound HTTPS relay.","c":1,"e":[["file","docs/voice.md:1-241"],["file","internal/voice/voice.go:1-395"],["file","scripts/configure_retell.py"],["file",".env.example:4-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-29","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":1203,"k":"d469f9f6-6d6d-48e6-b02b-9a012d0caf64-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":109,"picks":[["metronome","p"],["lago","m"],["orb","r"],["stripe-billing","r"]],"v":{"r":"The agent evaluated third-party usage-based billing platforms (Metronome, Orb, Stripe Billing, Lago) against the specific constraints of late job completion and minute-block commitments. 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It evaluated and explicitly rejected Inngest, Trigger.dev, and LangGraph due to wait timeout limitations or operational overhead.","c":0.98,"e":[["file","package-lock.json"],["file","docs/agent.md"],["file","workers/agent/worker.ts"],["file","workers/agent/workflows.ts"],["file","package-lock.json"],["file","workers/agent/sandbox.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","temporal","vercel-ai-sdk"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"bc-panl-prompt-b-09","pid":"PANL-PB-09c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mixpanel","secs":605,"k":"d49e0097-dae9-4edd-ac70-ee4a220b7813-r1","co":"gpt61-sol-retry2-20260929","ts":"bare","sandbox":"daytona","ev":87,"picks":[["mixpanel","p"]],"v":{"r":"The agent evaluated product analytics solutions and explicitly recommended Mixpanel with Segment integration. It implemented backend event capture, delivery mechanisms, Mixpanel dashboard provisioning scripts (`mixpanel-headless`), and full setup documentation for Mixpanel Boards.","c":1,"e":[["file","CLAUDE.md:25-27"],["file","docs/analytics/README.md:1-70"],["file","docs/analytics/dashboards.md:1-69"],["file","scripts/analytics/provision_dashboards.py:1-128"],["file","scripts/analytics/requirements.txt:1-2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mixpanel"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"auth-choice-fastapi-saas","pid":"AUTH-N-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":279,"k":"d5535082-3518-4192-b3e9-d6ffd67252e5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":46,"picks":[["auth0","p"]],"v":{"r":"The agent evaluated and fully implemented Auth0 to handle authentication, MFA, and social login, configuring RS256 token verification with JWKS caching, Alembic migrations for Auth0 identities, Post Login Actions, and environment variables across the app and Terraform definitions.","c":1,"e":[["file","app/security.py"],["file","auth0/post-login.js"],["file","docs/auth0.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e4-cairnfold","pid":"CDNY-E4-CAIRNFOLD-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langgraph","secs":1395,"k":"d5b86fe9-6663-4cae-ae91-ed70fcf129a0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":171,"picks":[["langgraph","p"],["deep-agents","c"],["modal","c"],["anthropic-managed-agents","r"],["claude-agent-sdk","r"],["openai-agents-api","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["temporal","r"],["langchain","m"]],"v":{"r":"The run selected and fully implemented an agent runtime built on LangGraph (with Deep Agents middleware/compaction) and Modal for isolated sandbox execution. 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It created `netlify.toml`, configured `astro.config.mjs` to read Netlify's production URL environment variable, and added detailed deployment and rollback documentation to `README.md`.","c":1,"e":[["file","netlify.toml"],["file","astro.config.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["netlify"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"go-planthire-returns","variant":"base","family":"cadenya-e2-ryehill","pid":"CDNY-E2-RYEHILL-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langgraph","secs":2039,"k":"d6be2edd-7d85-425f-89d5-9a60a1e54abf-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":203,"picks":[["langgraph","p"],["e2b","c"],["langchain","m"],["inngest","r"],["mastra","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["temporal","r"],["vercel-ai-sdk","r"],["letta","m"]],"v":{"r":"The run chose LangGraph (deployed via LangGraph Agent Server) as its primary agent runtime, accompanied by E2B for isolated Python sandbox execution. It evaluated and rejected Pydantic AI, Temporal, Mastra, Inngest, Vercel AI SDK, OpenAI Agents SDK, OpenAI Agents API, and a custom Go implementation based on operational burden, feature maturity, provider lock-in, and stack compatibility.","c":0.95,"e":[["file","agent/pyproject.toml:6-12"],["file","agent/langgraph.json:1-10"],["file","agent/returns_agent/graph.py:1-239"],["file","agent/pyproject.toml:12"],["file","agent/returns_agent/tools.py:135-153"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"search-enterprise-gov-dossiers","pid":"SEARCH-5a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"postgres-fts","secs":383,"k":"d6d7a840-f36e-40c4-a8ed-bb4e70244848-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":52,"picks":[["postgres-fts","p","b"]],"v":{"r":"The repository already uses PostgreSQL 15 as its core database. The agent configured and implemented full-text search using PostgreSQL's built-in tsvector, GIN index, and websearch_to_tsquery functionality with zero external services or new dependencies.","c":1,"e":[["file","migrations/Version20260929190000.php:18-21"],["file","migrations/Version20260929190100.php:24"],["file","src/Repository/DossierRepository.php:48-52"],["file","docs/recherche-dossiers.md:9-30"]],"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-sre","wave":3,"date":"2026-09-29","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"sentry-seer","secs":174,"k":"d77fb293-6efc-463f-a8a8-fb7957bea74b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":29,"picks":[["sentry-seer","p"],["cleric","m"],["resolve-ai","m"],["traversal","m"]],"v":{"r":"The agent recommended Sentry Seer as the AI SRE solution because Sentry was already part of the application's monitoring stack. It updated Sentry initializers and environment configuration, and documented full Seer Autofix setup instructions in docs/monitoring.md.","c":0.95,"e":[["file","docs/monitoring.md:37-77"],["file","config/initializers/sentry.rb:1-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"event-registry","secs":1196,"k":"d7a81ae4-c67c-417d-b5ae-92a5c6ab8f14-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":130,"picks":[["event-registry","p"],["newsapi","m"]],"v":{"r":"The agent evaluated news APIs, recommended NewsAPI.ai (Event Registry), and implemented complete ingestion, deduplication, CDK infrastructure, API endpoints, and web UI to query and display shipment news using NewsAPI.ai.","c":1,"e":[["file","apps/api/src/news/provider.ts"],["file","docs/shipment-news.md"],["file","CLAUDE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["event-registry"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-29","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"tavily","secs":1149,"k":"d83065b3-ddbf-4c96-ab3b-854ccf27eb8a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":83,"picks":[["tavily","p"]],"v":{"r":"The agent evaluated web search solutions to find supplier publications, incidents, and financial proceedings. It recommended and fully implemented Tavily Search and Extract in Go with S3 archiving and Mistral fact extraction, while noting Mistral web search (web_search_premium) and Brave Search API as alternatives.","c":1,"e":[["file","internal/research/tavily.go"],["file","docs/recommandation-recherche-fournisseur.md"],["file","cmd/server/main.go"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-textract","secs":379,"k":"d8abda03-eb3b-4964-ad55-5aeb69ffb3ab-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":50,"picks":[["amazon-textract","p"],["google-gemini","m"],["mindee","r"],["openai-models","r"],["veryfi","r"]],"v":{"r":"The agent selected Amazon Textract's AnalyzeExpense API and fully integrated it into the codebase with boto3 client handling, receipt normalization logic, configuration settings, and comprehensive stubbed test coverage.","c":1,"e":[["file","app/receipts/textract.py"],["file","app/receipts/read.py:33-41"],["file","requirements.txt:9"],["file","README.md:30-75"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-29","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"docling","secs":1817,"k":"d9a89ea5-6a11-44ef-ba24-2c5595139953-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":192,"picks":[["docling","p"],["tesseract","m"],["abbyy","r"],["amazon-textract","r"],["rossum","r"]],"v":{"r":"The agent conducted a thorough market comparison of several document processing options against the repo's strict Ireland data residency and architecture requirements, ultimately selecting and implementing Docling in a self-hosted CPU worker container.","c":1,"e":[["file","remittance/extractor/convert.py"],["file","remittance/extractor/requirements.txt"],["file","remittance/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"express-api","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mongodb-text-search","secs":178,"k":"d9ad4d8f-5848-4562-84a0-ef0450d19f26-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":27,"picks":[["mongodb-text-search","p","b"],["atlas-search","r"]],"v":{"r":"The agent evaluated native MongoDB text search against MongoDB Atlas Search, selected MongoDB's built-in text search indexing and $text query capability, and implemented it across the Mongoose model, controller, and indexing scripts.","c":1,"e":[["file","models/Event.js:27-35"],["file","controllers/eventsController.js:16-24"],["file","README.md:25-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mongodb-text-search"],"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mapbox","secs":1781,"k":"d9ed42d9-c5c8-4f4a-bace-95d4b0d0dc2a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":175,"picks":[["mapbox","p"],["here","r"]],"v":{"r":"The agent selected Mapbox Maps SDK and Navigation SDK for Android, adding the dependencies, configuring the repository settings, and fully implementing offline map downloads, custom annotations, positioning, and turn-by-turn routing in MapSession.kt and MapScreen.kt. It also documented evaluation and reasons for rejecting Google Maps, HERE, and MapLibre in docs/mapping-recommendation.md.","c":1,"e":[["file","gradle/libs.versions.toml:20-28"],["file","app/build.gradle.kts:83-86"],["file","app/src/main/java/com/tollanwater/fieldmeter/ui/map/MapSession.kt:1-606"],["file","docs/mapping-recommendation.md:1-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-29","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-cloud-workflows","secs":811,"k":"da0562a2-a9d5-44dc-bfb2-a56fef75966b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":72,"picks":[["google-cloud-workflows","p"],["rabbitmq","m"],["redis","m"],["celery","r"],["cloud-tasks","r"],["google-pubsub","r"],["temporal","r"]],"v":{"r":"The agent explicitly recommended Google Cloud Workflows to solve the asynchronous multi-step publishing problem and implemented it end-to-end across the codebase (`workflows/publish.yaml`, `web/app/services/workflows.py`, `cloudbuild.yaml`, and infrastructure provisioning scripts). Alternatives including Cloud Tasks, Pub/Sub, Celery, and Temporal were evaluated and explicitly rejected.","c":1,"e":[["file","workflows/publish.yaml"],["file","web/app/services/workflows.py"],["file","cloudbuild.yaml"],["file","infra/provision-publishing.sh"]],"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":"2026-09-29","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mistral-ocr","secs":845,"k":"da0867a6-1a57-4150-a1b9-788812683f71-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":113,"picks":[["mistral-ocr","p"],["google-gemini","a"],["mindee","a"],["amazon-textract","r"],["handwritingocr","r"],["nanonets","r"]],"v":{"r":"The agent evaluated multiple document-processing and OCR options (Google Document AI, Azure Document Intelligence, Amazon Textract, HandwritingOCR, Mindee, Nanonets, Google Gemini, and Mistral OCR). It selected Mistral OCR and integrated its `/v1/ocr` endpoint with a structured schema, durable queue worker, side-by-side review UI, and billing gate.","c":0.98,"e":[["file","server/utils/mistralParts.ts:30-49"],["file",".env.example:8-10"],["file","README.md:86-93"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mistral-ocr"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-29","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qodo","secs":474,"k":"da10eb4c-7e4c-4e8f-bffa-d5a8641cf565-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":72,"picks":[["qodo","p"]],"v":{"r":"The agent evaluated requirements for self-hosted GitLab within a restricted sovereign network and selected PR-Agent (Qodo Merge upstream repository). It implemented a dedicated wrapper service and Helm deployment configured to use the internal inference gateway.","c":1,"e":[["file","review-service/upstream.lock"],["file","review-service/worker.py"],["file","review-service/review.toml"],["file","docs/automated-mr-review.md"],["file","helm/mr-review/Chart.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"agent-runtime","wave":3,"date":"2026-09-29","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e3-sablecrest","pid":"CDNY-E3-SABLECREST-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1946,"k":"da2fce12-edfd-4ef4-a780-e343edef005f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":232,"picks":[["temporal","p"],["vercel-ai-sdk","p"],["fastmcp","c"],["e2b","a"],["inngest","a"],["langgraph","a"],["mastra","a"],["deep-agents","m"],["langchain","m"],["vercel-sandbox","m"]],"v":{"r":"The agent explicitly designed and implemented an AI agent architecture combining Temporal (for durable workflow orchestration and indefinite human approval waits), Vercel AI SDK (for model and tool execution abstractions), and FastMCP (for OpenAPI tool schema conversion). 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It evaluated the Geocoder Ruby gem during retrieval and reasoning but rejected it in favor of a direct Net::HTTP Mapbox service and custom PostgreSQL Haversine distance filtering.","c":1,"e":[["file","app/services/mapbox_geocoder.rb:1-79"],["file","app/helpers/listings_helper.rb:1-12"],["file",".env.example:16-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-29","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-content-understanding","secs":718,"k":"da78ad95-4489-4357-b693-d15b15f0f170-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":100,"picks":[["azure-content-understanding","p"],["reducto","a"],["sensible","a"],["amazon-textract","r"]],"v":{"r":"The agent conducted a comparative analysis across multiple document processing platforms and implemented Azure AI Content Understanding in code (custom analyzer schema, REST client with binary analysis and polling, ingestion integration, CLI tooling, and test suite).","c":1,"e":[["file","src/contracts/azure.ts:51-115"],["file","azure/renewals-analyzer.json:1-30"],["file","src/contracts/read.ts:28-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-content-understanding"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-29","repo":"hono-parcelwatch","variant":"base","family":"mq-vibe-parcelwatch","pid":"MQ-PARCELWATCH-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-queues","secs":349,"k":"dab5665a-a2e6-40e8-998a-fa050ec3b54e-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":46,"picks":[["cloudflare-queues","p"],["amazon-sqs","r"],["bullmq","r"],["pg-boss","r"],["redis","m"]],"v":{"r":"The agent evaluated several message queue options (pg-boss, BullMQ, Amazon SQS, Cloudflare Queues) to absorb burst webhook traffic. 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Mobility for model attribute translations in Postgres JSONB and i18n-tasks for CI key audits.","c":0.98,"e":[["file","Gemfile:6"],["file","config/application.rb:29-32"],["file","app/controllers/application_controller.rb:14-20"],["file","Gemfile:7"],["file","config/initializers/mobility.rb:1-12"],["file","app/models/listing.rb:2-3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":827,"k":"db9866ed-b9db-472a-add9-5ca0119554b3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":92,"picks":[["leaflet","p"],["maptiler","p"],["openstreetmap","m"]],"v":{"r":"The run evaluated and committed to a dual-product mapping solution: Leaflet (1.9.4) was embedded and configured as the client-side interactive 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codebase, providing full configuration, options validation, and mock test coverage, while considering and rejecting Parallel and Perplexity.","c":1,"e":[["file","src/Meridian.PolicyCore/Services/Research/ProviderClients.cs"],["file","src/Meridian.PolicyCore/Services/Research/ResearchOptions.cs"],["file","docs/referral-research.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"neon","secs":517,"k":"dbfea206-b57e-4e66-a5f6-1a8dd9411c2b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":68,"picks":[["neon","p","b"]],"v":{"r":"The run adopted pgvector directly in the application's existing Neon Postgres database for vector search capabilities, enabling the pgvector 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It installed `@sentry/nestjs` and `@sentry/nextjs`, implemented tracing and metrics middleware, wrote alert automation scripts and documentation, while rejecting Datadog and Grafana during deliberation due to cost and operational complexity.","c":1,"e":[["file","apps/api/package.json"],["file","apps/web/package.json"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-29","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-kinesis","secs":1883,"k":"dc8646cd-ec68-4cf2-ab5f-f78b3058edc2-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":178,"picks":[["amazon-kinesis","p"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["rabbitmq","r"],["apache-kafka","m"]],"v":{"r":"The agent explicitly recommended, configured via Terraform, and fully integrated Amazon Kinesis Data Streams (using the Amazon KCL 3 multi-lang daemon and boto3) to replace the PostgreSQL table polling architecture. It also explicitly compared and rejected Amazon MSK, SNS/SQS FIFO, and RabbitMQ Streams.","c":1,"e":[["file","terraform/kinesis.tf"],["file","app/stream.py"],["file","consumers/kinesis.py"],["file","consumers/stream.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resend","secs":308,"k":"dc8b4692-501f-4cc3-8096-2344b3ae6331-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":55,"picks":[["resend","p"]],"v":{"r":"The agent evaluated the requirements for transactional booking confirmation emails and chose Resend. It built a full integration sending via Resend's REST API (`https://api.resend.com/emails`), configured idempotency keys and error handling, created templates, integrated Svix-signed webhooks to handle bounce and delivery events, and provided configuration and documentation.","c":1,"e":[["file","app/email.server.ts"],["file","app/routes/webhooks.resend.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-29","repo":"express-api","variant":"base","family":"bc-panl-prompt-c-01","pid":"PANL-PC-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":368,"k":"dc92f056-3c6c-4542-9002-c195f95fd8b0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":65,"picks":[["posthog","p"]],"v":{"r":"The agent evaluated the project requirements and explicitly recommended PostHog Cloud. It then implemented PostHog by installing posthog-node, instrumenting auth/events/tickets controllers and reminder scripts in services/analytics.js, providing starter dashboards in analytics/dashboards.js and scripts/setupAnalyticsDashboards.js, and writing documentation in docs/analytics.md.","c":1,"e":[["file","package.json"],["file","services/analytics.js"],["file","analytics/dashboards.js"],["file","docs/analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"document-processing","wave":3,"date":"2026-09-29","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"reducto","secs":525,"k":"dc9a65c5-1bc1-495e-8358-306120e4890a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":74,"picks":[["reducto","p"],["mistral-ocr","a"],["amazon-textract","r"],["docling","r"],["llamaparse","r"],["pdfplumber","r"]],"v":{"r":"The agent explicitly recommended, installed settings for, and fully implemented Reducto (Reducto Parse API) in app/notes/reducto.py, making it the default NoteReader in app/notes/read.py.","c":1,"e":[["file","app/notes/read.py:33-42"],["file","app/notes/reducto.py:1-348"],["file","docs/reducto.md:1-132"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["reducto"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"qodo","secs":857,"k":"dce9e254-1037-49d3-b207-b3324a7db9db-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":90,"picks":[["qodo","p"]],"v":{"r":"The user requested an automated pull request review solution for Azure DevOps respecting strict EU regional inference constraints. The run recommended and implemented self-hosted PR-Agent (Qodo Merge) running on dedicated EU Azure GPU infrastructure with custom validation rules and branch policies.","c":0.95,"e":[["file","docs/automated-pr-review.md"],["file","tools/pr_review/agent.py"],["file","tools/pr_review/build-images.sh"],["file","tools/pr_review/Dockerfile.reviewer"],["file","azure-pr-review.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"nestjs-stockroom","variant":"base","family":"bc-auth-prompt-b-07","pid":"AUTH-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":224,"k":"dcfc3620-d9bf-4d06-af7d-39c89604ef19-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":43,"picks":[["auth0","p"],["clerk","m"]],"v":{"r":"The agent explicitly recommended and integrated Auth0, installing Auth0's express-oauth2-jwt-bearer package, creating an AuthGuard for NestJS, updating the Azure deployment scripts, and providing extensive setup documentation. Microsoft Entra ID was explicitly rejected due to lacking built-in GitHub social authentication.","c":1,"e":[["file","package.json:18"],["file","src/auth/auth.guard.ts:4-61"],["file","docs/auth0-setup.md:1-72"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-29","repo":"rust-cli","variant":"base","family":"code-review-senior-grebe","pid":"CR-GREBE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":88,"k":"dcfde99b-14ac-4d05-846d-c44862c017f3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":24,"picks":[["coderabbit","p"]],"v":{"r":"The agent evaluated automated code review options for an open-source Rust project, selected CodeRabbit, wrote a `.coderabbit.yaml` configuration file, updated `CONTRIBUTING.md` with setup instructions, and verified the configuration against CodeRabbit's schema.","c":1,"e":[["file",".coderabbit.yaml:1-23"],["file","CONTRIBUTING.md:41-57"],["trace","seq:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-29","repo":"vite-react-shifts","variant":"base","family":"dply-g-vite-react-shifts","pid":"DPLY-64g","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"render","secs":116,"k":"dd351a82-a97b-4a66-9a8a-641c40146b24-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":25,"picks":[["render","p"],["vercel","r"]],"v":{"r":"The agent explicitly selected Render to host the web service, generating a complete `render.yaml` configuration and updating the README with setup and deployment instructions. Vercel, Netlify, and Railway were surveyed in the environment and deliberation trace.","c":1,"e":[["file","render.yaml:1-20"],["file","README.md:29-57"],["trace","seq:13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"new-relic","secs":422,"k":"dd4b12a1-6f13-45ba-8db0-261dba161e49-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":75,"picks":[["new-relic","p"],["opentelemetry","m"],["datadog","r"],["grafana","r"]],"v":{"r":"The run compared New Relic, Datadog, and Grafana Cloud in documentation and trace deliberations, ultimately picking New Relic. It installed `newrelic`, configured `newrelic.ini`, added application telemetry middleware and custom error/metric hooks in `app/observability.py`, updated ECS task definitions, and implemented NRQL alert conditions and notification workflows via the Terraform New Relic provider.","c":1,"e":[["file","requirements.txt:19"],["file","newrelic.ini:1-18"],["file","app/observability.py:7-93"],["file","terraform/observability/main.tf:1-148"],["file","docs/observability.md:1-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["new-relic"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-29","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"grafana","secs":994,"k":"dd72af3b-b44e-48fa-a8a2-89c58bf3878a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":80,"picks":[["grafana","p"],["opentelemetry","m"],["prometheus","m"]],"v":{"r":"The run clearly chose and implemented Grafana (specifically Grafana Cloud) as the single destination platform for logs, traces, metrics, alerts, and dashboards. 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It specifically recommended and implemented pg-boss using Drizzle transactions and Postgres LISTEN/NOTIFY on the Fly worker.","c":1,"e":[["file","package.json"],["file","lib/jobs/queue.ts"],["file","scripts/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pg-boss"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-29","repo":"spring-utility-billing","variant":"base","family":"cadenya-e1-dunmarrow","pid":"CDNY-E1-DUNMARROW-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1449,"k":"ddc106ee-0411-419f-b95c-09d54e10cfb1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":200,"picks":[["e2b","p"],["temporal","p"],["langchain4j","r"],["langgraph","r"],["restate","r"],["spring-ai","r"],["camunda","m"],["langchain","m"]],"v":{"r":"The run chose and fully integrated Temporal for durable agent workflow orchestration and E2B for isolated code execution. 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Both were installed and fully integrated into the Astro guide templates with environment key configuration and automatic GPX parsing.","c":0.95,"e":[["file",".env.example:1-3"],["file","src/components/GuideMap.astro:48-54"],["file","README.md:19-33"],["file","package.json:12-16"],["file","src/components/GuideMap.astro:41-86"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maptiler"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-29","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"new-relic","secs":370,"k":"df45e4d5-2732-43ac-b926-183d4edb98cd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":57,"picks":[["new-relic","p"],["datadog","a"],["grafana","a"]],"v":{"r":"The agent explicitly chose New Relic, configured the in-process Java agent in pom.xml and Dockerfile, integrated custom telemetry into the codebase via the New Relic API, set up Terraform alerting using the New Relic provider, and documented the decision alongside comparisons against Datadog and Grafana Cloud.","c":1,"e":[["file","pom.xml:27-31"],["file","observability/newrelic.yml:1-43"],["file","observability/terraform/main.tf:1-129"],["file","docs/observability.md:3-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["new-relic"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"auth-ent-senior","pid":"AUTH-4a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"entra-id","secs":433,"k":"dfa56fde-09ed-46d5-bf83-b3db0b3c14f5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["entra-id","p"]],"v":{"r":"The run identified Microsoft Entra ID as the workforce identity provider suited for the existing Azure App Service stack and implemented single-tenant bearer authentication using Microsoft.Identity.Web.","c":1,"e":[["file","src/Northmere.Billing.Api/Security/BillingAuthentication.cs:1-85"],["file","Directory.Packages.props:10"],["file","docs/sso.md:1-141"],["file","infra/main.bicep:14-22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"auth","wave":3,"date":"2026-09-29","repo":"laravel-caseboard","variant":"base","family":"bc-auth-prompt-c-03","pid":"AUTH-PC-03a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"workos-authkit","secs":403,"k":"dfe53175-d43d-453e-b2f5-2ea42d74c75c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":65,"picks":[["workos-authkit","p"],["auth0","r"]],"v":{"r":"The user requested a managed authentication solution providing MFA, password reset, and Google/GitHub sign-in for staff. 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The agent recommended and implemented an OIDC client integration with a self-hosted Keycloak realm, configuring session handling, CSRF protection, and role/MFA assurance validation in Go.","c":1,"e":[["file","docs/keycloak.md"],["file","internal/auth/auth.go:1-342"],["file","README.md:5-40"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["keycloak"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-29","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":559,"k":"e071227b-b5b3-4f38-8c8d-4943aaa66f34-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":67,"picks":[["azure-document-intelligence","p"],["amazon-textract","r"],["docling","r"],["llamaparse","r"],["mistral-ocr","r"],["pdfplumber","r"],["reducto","r"]],"v":{"r":"The agent evaluated several document processing vendors and tools (Azure Document Intelligence, Amazon Textract, Google Document AI, Reducto, LlamaParse, Mistral OCR, Docling, Camelot, and pdfplumber), explicitly recommended Azure Document Intelligence prebuilt-layout, and fully implemented and configured it with HTTP client wiring, tests, schema updates, and documentation.","c":1,"e":[["file","app/notes/azure.py"],["file","app/notes/read.py"],["file","docs/azure-tables.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"orb","secs":1014,"k":"e083eab4-d595-4c70-b90f-80e856f045a7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":109,"picks":[["orb","p"],["metronome","r"]],"v":{"r":"The agent evaluated billing providers (comparing Orb and Metronome) and firmly selected Orb as the primary usage-based billing engine, implementing a client adapter (`app/orb.py`), catalog generator (`app/billing_catalog.py`), administrative CLI (`app/billing_admin.py`), event delivery worker (`app/billing_worker.py`), database migration, and comprehensive cutover documentation.","c":1,"e":[["file","app/orb.py:1-76"],["file","app/billing_catalog.py:1-46"],["file","app/billing_admin.py:1-259"],["file","docs/orb-billing.md:1-229"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-29","repo":"dotnet-utility-billing","variant":"base","family":"bc-stor-prompt-c-02","pid":"STOR-PC-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-blob-storage","secs":568,"k":"e08ec487-3f83-4a02-b0a9-a46becc679e9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":71,"picks":[["azure-blob-storage","p"]],"v":{"r":"The agent evaluated the project's Azure infrastructure and recommended and implemented Azure Blob Storage using Azure.Storage.Blobs and Bicep infrastructure resources.","c":1,"e":[["file","src/Northmere.Billing.Api/Services/AzureBillDocumentStore.cs"],["file","infra/main.bicep:129-178"],["file","src/Northmere.Billing.Api/Northmere.Billing.Api.csproj:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"srvl-junior-nextjs-storefront","pid":"SRVL-06a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel-functions","secs":340,"k":"e093eaf7-43e2-4309-88ac-6d300b6361e6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":50,"picks":[["vercel-functions","p","b"]],"v":{"r":"The repository is a Next.js application already deploying to Vercel. 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In the codebase, it implemented a split implementation: a DIY transactional outbox and worker to deliver contract creation, signature, and renewal events reliably to the ingestion pipeline where Mitzu can query them.","c":0.95,"e":[["file","docs/analytics.md:3-5"],["trace","trace:8"],["file","app/analytics.py:1-56"],["file","app/analytics_worker.py:1-110"],["file","app/contract_lifecycle.py:1-98"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mitzu"],"pb":1,"sk":0,"theme":"Fits an existing data stack"},{"cat":"serverless","wave":2,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"base","family":"bc-srvl-prompt-b-04","pid":"SRVL-PB-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws-lambda","secs":316,"k":"e3237e1f-20b1-4af9-94a9-b2662f05c006-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":54,"picks":[["aws-lambda","p"]],"v":{"r":"The run selected, implemented, and configured AWS Lambda (packaged as a container image and scheduled via Amazon EventBridge Scheduler) using the project's existing AWS Terraform infrastructure to execute the nightly dashboard rollup.","c":1,"e":[["file","terraform/rollup.tf:101-137"],["file","services/rollup/Dockerfile:1-9"],["file","services/rollup/handler.py:46-118"],["file","docs/nightly-rollup.md:1-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"redis","secs":665,"k":"e32cb228-be84-4c1f-a6e1-78126db389bc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":101,"picks":[["redis","p"],["amazon-sqs","r"],["builtin","r","b"],["rabbitmq","r"],["temporal","r"],["amazon-eventbridge","m"],["laravel-queues","m"]],"v":{"r":"The agent explicitly recommended and implemented Redis paired with Laravel Horizon and a MySQL transactional outbox. It installed predis/predis and laravel/horizon, updated configuration files, and created dedicated queue supervisors and health checks while rejecting Amazon SQS, RabbitMQ, Temporal, and Laravel's database queue driver.","c":1,"e":[["file",".env.example"],["file","composer.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["redis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-29","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":130,"k":"e36478c1-3e1a-4077-a960-d02bacf61cb9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":22,"picks":[["diy","p","d"]],"v":{"r":"The run opted against adopting a dedicated search engine or external service, writing a custom multi-column substring search implementation directly in Flask and SQLAlchemy using `icontains` queries over the existing SQLite database.","c":1,"e":[["file","app/__init__.py:43-57"],["file","app/templates/_search.html:1-9"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-29","repo":"go-fleet","variant":"ai-sre-v1","family":"ai-sre-senior-small-team-fleet","pid":"SRE-FLEET-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resolve-ai","secs":444,"k":"e420dafd-e6e5-4167-b16f-26a473170372-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["resolve-ai","p"],["traversal","m"]],"v":{"r":"The run explicitly recommended Resolve AI and implemented a complete integration for it, including a Cloud Run alert bridge, Firestore deduplication, Terraform definitions in ops/resolve, and detailed runbook documentation in docs/resolve-ai.md.","c":0.95,"e":[["file","docs/resolve-ai.md"],["file","ops/resolve/main.tf"],["file","cmd/resolve-alert-bridge/main.go"],["file","Dockerfile.resolve-bridge"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"auth-vibe-sveltekit-indie","pid":"AUTH-11a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-identity","secs":387,"k":"e561e5cf-66a1-483d-b0f0-a7e49180738b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":56,"picks":[["google-identity","p"],["arctic","r"]],"v":{"r":"The agent explicitly recommended and implemented Google Identity Services using google-auth-library on the server, loading Google's GIS client script in the browser and handling ID token verification to establish sessions in the existing SQLite database.","c":0.95,"e":[["file","package.json:20"],["file","src/lib/server/google.ts:1-112"],["file","src/routes/auth/google/+server.ts:1-55"],["file","src/routes/login/+page.svelte:14-78"],["file","README.md:31-71"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-identity"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-29","repo":"vite-invoice-tracker","variant":"base","family":"ocr-invoices","pid":"OCR-INVOICES-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":348,"k":"e5b3ff13-cdfb-441f-9048-4d052a1ba7dc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":33,"picks":[["azure-document-intelligence","p"]],"v":{"r":"The agent selected and fully implemented Azure AI Document Intelligence using its prebuilt invoice model (`prebuilt-invoice`) via REST API calls in `server/extract.mjs`. Amazon Textract and Google Cloud Document AI were checked via retrieval queries during the investigation phase.","c":1,"e":[["file",".env.example:11-14"],["file","README.md:27-38"],["file","server/extract.mjs:80-183"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":519,"k":"e6764690-f09e-471e-b60f-c4b9821f03ee-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":59,"picks":[["geoapify","p"],["leaflet","p"],["openstreetmap","m"],["azure-maps","r"],["google-maps","r"]],"v":{"r":"The agent explicitly selected and implemented a dual solution for the map feature: Leaflet 1.9.4 as the client-side library and Geoapify for tile hosting and server-side geocoding. Google Maps and Azure Maps were considered and rejected due to caching terms/ambiguities.","c":0.95,"e":[["file",".env.example"],["file","src/BrackenRidge.FieldOps/Services/GeoapifyGeocoder.cs"],["file","README.md"],["file","src/BrackenRidge.FieldOps/wwwroot/map.html"],["file","src/BrackenRidge.FieldOps/wwwroot/map.js"],["file","src/BrackenRidge.FieldOps/wwwroot/vendor/leaflet/leaflet.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["geoapify","leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-29","repo":"fleet-inspection-intake","variant":"base","family":"clde-senior-fleet-inspection-intake","pid":"CLDE-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"aws","secs":369,"k":"e6e65811-ce6f-4c15-9149-bd2737116689-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":35,"picks":[["aws","p"]],"v":{"r":"The agent explicitly recommended, implemented, and configured Amazon Web Services (specifically Amazon S3 and Amazon SQS) using the official AWS SDK for Go v2 and provided Terraform configuration for AWS resources.","c":1,"e":[["file","go.mod:5-9"],["file","infra/main.tf:4-7"],["file","photoflow/flow.go:12-14"],["file","README.md:3-6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":158,"k":"e74f01d7-397c-472f-8a7a-f379d8c8e462-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":29,"picks":[["google-maps","p"],["leaflet","m"],["mapbox","m"]],"v":{"r":"The agent evaluated map integration approaches for the Django server-rendered application and chose Google Maps Platform (Maps Embed API and Directions URLs), implementing URL generators in `visits/maps.py`, updating settings, models, views, and templates, and verifying functionality with comprehensive test cases.","c":1,"e":[["file","visits/maps.py:13-30"],["file","careportal/settings.py:21"],["file","templates/appointment.html:16-25"],["file","README.md:34-78"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"voice-agents-insurance","pid":"VAGT-INSURANCE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cognigy","secs":1019,"k":"e75ce608-d4d8-49c2-a7a7-06df5b9d2aba-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":115,"picks":[["cognigy","p"],["parloa","a"],["polyai","a"]],"v":{"r":"The agent evaluated enterprise voice platforms (Cognigy, Parloa, PolyAI) against Meridian's requirements for retaining the existing carrier, executing confirmation workflows, contextual transfer, and EU regional inference. It selected Cognigy and implemented full integration manifests, configuration options, and supporting adapter infrastructure.","c":1,"e":[["file","docs/voice-integration.md"],["file","integrations/cognigy/flow-manifest.json"],["file","src/Meridian.PolicyCore/Integrations/Cognigy/ApprovedAdapterClient.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cognigy"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-29","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06d","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":541,"k":"e7d45d67-b903-4012-aaaa-ff3fff284e5b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":75,"picks":[["exa","p"],["playwright","m"]],"v":{"r":"The agent explicitly recommended Exa, implemented API integration with Exa's search and contents endpoints in `lib/research.ts`, configured `EXA_API_KEY` in environment configuration and docs, and built unit/integration test coverage around Exa interactions.","c":1,"e":[["file","lib/research.ts"],["file",".env.example"],["file","README.md"],["file","tests/research.test.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"go-planthire-returns","variant":"base","family":"cadenya-e4-ryehill","pid":"CDNY-E4-RYEHILL-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langgraph","secs":1226,"k":"e7fff807-3d26-47e9-b2bd-738625ded18a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":139,"picks":[["langgraph","p"],["deep-agents","c"],["modal","c"],["e2b","a"],["pydantic-ai","a"],["claude-agent-sdk","r"],["openai-agents-sdk","r"],["temporal","r"],["langchain","m"]],"v":{"r":"The agent evaluated several agent frameworks and durable execution options before implementing a Python service built on LangGraph and Deep Agents with PostgreSQL persistence and Modal for isolated sandboxes. All three are installed in pyproject.toml and wired in hire_agent/runtime.py.","c":0.98,"e":[["file","agent/pyproject.toml:7"],["file","agent/hire_agent/runtime.py:20"],["file","agent/hire_agent/app.py:9"],["file","README.md:52"],["file","agent/pyproject.toml:6"],["file","agent/hire_agent/runtime.py:9-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-b-04","pid":"CLDE-PB-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"inngest","secs":492,"k":"e8ff83a0-582c-45bd-9fcb-6ad7a34947d0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":87,"picks":[["inngest","p"],["builtin","c","b"],["aws","r"]],"v":{"r":"To address worldwide media delivery and post-checkout queueing, the agent configured direct image delivery from the project's existing Sanity asset CDN and installed Inngest as a durable serverless workflow queue. AWS was considered during initial deliberation and rejected in favor of leveraging the existing stack.","c":0.95,"e":[["file","lib/inngest.ts"],["file","lib/checkout-workflow.ts"],["file","app/api/inngest/route.ts"],["file","README.md"],["file","lib/sanity-image-loader.ts"],["file","next.config.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["inngest"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"perf-ci","wave":3,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"k6","secs":424,"k":"e90b3af4-de8b-4fe4-bfc3-81f5805fdb5f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":61,"picks":[["k6","p"]],"v":{"r":"The agent selected Grafana k6 OSS as the performance testing tool. It created a k6 test script (perf/summary.js), an installer script (perf/install-k6.sh), baseline comparison logic, and configured GitHub Actions (.github/workflows/ci.yml) to execute the performance checks on pull requests and gate deployments.","c":1,"e":[["file","perf/install-k6.sh:1-14"],["file","perf/summary.js:1-70"],["file",".github/workflows/ci.yml:30-88"],["file","perf/README.md:1-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"bc-aigw-prompt-c-02","pid":"AIGW-PC-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-bedrock","secs":781,"k":"e9195824-4dc7-4340-bc53-e5a851a5d9b9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":102,"picks":[["amazon-bedrock","p"],["openrouter","m"],["vercel-ai-gateway","r"]],"v":{"r":"The agent evaluated hosted AI gateway and model access options, specifically comparing Vercel AI Gateway and Amazon Bedrock Converse. It explicitly chose and implemented Amazon Bedrock using @aws-sdk/client-bedrock-runtime, writing complete service code, tests, and Terraform modules to integrate it.","c":0.95,"e":[["file","services/product-content/package.json"],["file","services/product-content/src/lib/bedrock.ts"],["file","docs/product-content.md"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-29","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai-web-search","secs":1051,"k":"e934b67d-738a-43b9-8d09-62466fbdfc60-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":86,"picks":[["openai-web-search","p"]],"v":{"r":"The agent evaluated pricing and capabilities, recommended using OpenAI's built-in web search tool via the OpenAI Responses API, and implemented the discovery pipeline using OpenAI web search tool calls in lib/ai.ts and lib/research.ts.","c":1,"e":[["file","lib/ai.ts"],["file","lib/research.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-web-search"],"sk":1,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":287,"k":"e95e3f78-1c09-41dd-8f12-1447e8b14a61-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["exa","p"],["tavily","r"]],"v":{"r":"The agent evaluated search providers for ticket passage retrieval, explicitly comparing Tavily and Exa on pricing and features. It selected Exa and fully implemented the service integration in the codebase with background queue retrieval, passage persistence in MySQL, and error handling.","c":1,"e":[["file","app/Services/ExaSearch.php"],["file","config/services.php"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-29","repo":"turborepo-b2b","variant":"base","family":"i18n-senior-enterprise-plyward-e2","pid":"I18N-PLYWARD-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":824,"k":"e98899e5-666b-43c2-a032-ac7d02fca0cb-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":85,"picks":[["i18next","p"],["locize","c"],["lingui","m"]],"v":{"r":"The run installed and configured i18next across a new `@plyward/i18n` package, the Next.js web application, and the NestJS API. In addition, it integrated Locize (using locize-cli and synchronization scripts) as the translation management solution for translators. Because both third-party products were committed to as part of the internationalization setup, the outcome is 'pick' with product_class 'multiple'.","c":0.95,"e":[["file","packages/i18n/package.json"],["file","packages/i18n/src/index.ts"],["file","apps/web/package.json"],["file","docs/internationalization.md"],["file","packages/i18n/package.json"],["file","packages/i18n/scripts/locize.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18next","locize"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"laravel-helpdesk","variant":"base","family":"auth-choice-laravel-helpdesk","pid":"AUTH-N-04a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":562,"k":"e98c0d10-35a0-4509-bf24-8273d0012dae-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":43,"picks":[["laravel-fortify","p"],["laravel-socialite","p"]],"v":{"r":"The run inspected the existing Laravel 11 codebase and selected a combination of Laravel Fortify (for password authentication, password reset, and MFA) and Laravel Socialite (for Google and GitHub OAuth sign-in). Both packages were added to composer.json, fully configured with controllers, providers, middleware, and tests, and documented in README.md.","c":1,"e":[["file","composer.json:10"],["file","app/Providers/FortifyServiceProvider.php:1-80"],["file","README.md:44-55"],["file","composer.json:12"],["file","app/Http/Controllers/SocialAuthController.php:1-97"],["file","README.md:70-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-fortify","laravel-socialite"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-29","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":483,"k":"ea24fc03-a171-45d5-875a-c30eae00fe44-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":49,"picks":[["google-maps","p"]],"v":{"r":"The user asked for a mapping solution for Flutter supporting iOS and Android to display walk routes and live walker locations. The agent recommended and integrated Google Maps Platform via google_maps_flutter and google_maps_flutter_ios_sdk9.","c":1,"e":[["file","pubspec.yaml:16-17"],["file","lib/widgets/walk_route_map.dart:1-180"],["file","android/app/src/main/AndroidManifest.xml:11-12"],["file","ios/Runner/AppDelegate.swift:3-14"],["file","docs/maps-and-live-walks.md:1-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"laravel-caseboard","variant":"base","family":"auth-junior","pid":"AUTH-2b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"auth0","secs":410,"k":"ea4a5b75-4beb-4b6c-ad19-0109777dcf2b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":88,"picks":[["auth0","p"],["workos-authkit","r"],["better-auth","m"]],"v":{"r":"The agent evaluated Auth0, WorkOS, and Clerk for managed authentication, ultimately selecting and fully implementing Auth0 via the auth0/login package.","c":1,"e":[["file","composer.json"],["file","config/auth0.php"],["file","app/Http/Controllers/AuthController.php"],["file","docs/auth0.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"auth-ent-senior-edtech-lms","pid":"AUTH-17a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-cloud-identity-platform","secs":774,"k":"ea541d97-509d-4653-a0ab-8381483cd6a0-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":102,"picks":[["google-cloud-identity-platform","p"],["django-allauth","r"]],"v":{"r":"The agent evaluated WorkOS, django-allauth, and Google Cloud Identity Platform, recommending and implementing Google Cloud Identity Platform multi-tenancy using the Firebase Admin Python SDK and Firebase Web SDK to handle district SAML/OIDC authentication.","c":0.95,"e":[["file","docs/district-sso.md"],["file","apps/roster/sso.py"],["file","brightloom/settings.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-identity-platform"],"sk":0,"theme":"Procurement and compliance"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"mistral-ocr","secs":740,"k":"eaa9cbd5-ccfe-4ba9-9e1f-d372595b0fa9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":74,"picks":[["mistral-ocr","p"],["unstructured","m"],["docling","a"],["reducto","a"],["llamaparse","r"]],"v":{"r":"The user requested a document processing evaluation and implementation to solve table and printed-page ingestion issues within budget. The agent surveyed multiple alternatives and chose Mistral OCR (mistral-ocr-4-1), fully integrating it into the codebase with persistent caching, chunking, and database storage.","c":1,"e":[["file","src/ingest/mistral.ts"],["file",".env.example"],["file","src/cli/ingest.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mistral-ocr"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-commerce","pid":"SRE-COMMERCE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":177,"k":"eabfdfd1-88d8-4c1f-8c0f-8a8f9eb0d199-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":33,"picks":[["datadog-bits-investigation","p"],["datadog-bits-ai-dev-agent","c"]],"v":{"r":"The agent explicitly recommended and configured Datadog Bits Investigation paired with Bits Code (Datadog Bits AI Dev Agent) because the project is already instrumented with Datadog. It wrote extensive integration documentation, Bits.md investigation context, AGENTS.md instructions, CI checks, and Terraform monitor outputs for Bits Auto-Investigate.","c":0.95,"e":[["file","bits.md:1-66"],["file","docs/bits-ai-integration.md:1-128"],["file","ops/monitoring/main.tf:22-25"],["file","ops/monitoring/service-errors.md.tftpl:1-36"],["file","AGENTS.md:1-33"],["file","docs/bits-ai-integration.md:1-128"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-bits-ai-dev-agent","datadog-bits-investigation"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-29","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"resolve-ai","secs":471,"k":"eac453b6-a09d-4b3d-8edc-72a26336c32c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":74,"picks":[["resolve-ai","p"],["traversal","a"]],"v":{"r":"The agent evaluated AI SRE products (Resolve AI and Traversal) and selected Resolve AI. It fully configured the integration in the repository with Terraform IAM permissions, CloudWatch diagnostic sanitization, in-cluster Satellite Helm values, RBAC, network policies, and PR release controls.","c":1,"e":[["file","ops/resolve/README.md"],["file","ops/resolve/main.tf"],["file","ops/resolve/values.yaml"],["file","AGENTS.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-29","repo":"flask-shiftplanner","variant":"base","family":"bc-databases-prompt-b-04","pid":"DB-PB-04a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"neon","secs":336,"k":"eacc2856-b131-4216-83e9-1f17148048a6-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":33,"picks":[["neon","p"],["sqlite","a","b"],["postgres","m"]],"v":{"r":"The agent initially proposed SQLite with Python's built-in sqlite3 module. Upon clarification that a hosted database service was required, the agent recommended Neon (hosted PostgreSQL), which was accepted and fully implemented across the codebase (db.py, Alembic migrations, .env.example, README.md, and tests).","c":1,"e":[["file",".env.example:5-7"],["file","README.md:3-31"],["file","db.py:59-62"],["trace","seq:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-29","repo":"fastapi-saas","variant":"base","family":"stor-senior-fastapi-saas","pid":"STOR-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-s3","secs":377,"k":"eafa0c5c-eb59-41b4-9727-480f6c9bffdc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":57,"picks":[["amazon-s3","p"]],"v":{"r":"The agent selected Amazon S3 as the object storage service to fit the project's existing AWS ECS and Terraform infrastructure. It implemented the storage adapter with boto3, added FastAPI endpoints with presigned URLs, and provisioned the private S3 bucket and IAM permissions in Terraform.","c":1,"e":[["file","app/storage.py"],["file","terraform/storage.tf"],["file","requirements.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-29","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-maps","secs":544,"k":"eb8bb9f8-cd06-49af-bf5a-98b831863192-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":67,"picks":[["google-maps","p"]],"v":{"r":"The agent explicitly recommended Google Maps via the official google_maps_flutter package, installed the dependency in pubspec.yaml, implemented map views with polylines and markers in lib/widgets/walk_map.dart, and configured Android and iOS platform key integrations.","c":1,"e":[["file","pubspec.yaml"],["file","lib/widgets/walk_map.dart"],["file","android/app/src/main/AndroidManifest.xml"],["file","ios/Runner/AppDelegate.swift"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-29","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-repository-agent","pid":"SBX-MANAGED-AGENT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"daytona","secs":402,"k":"ebcfc38e-dfca-4be5-b179-7b6e4fb5aece-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":33,"picks":[["daytona","p"]],"v":{"r":"The agent explicitly chose, installed, and implemented Daytona Cloud using `@daytona/sdk` to execute isolated remote sandbox tasks.","c":1,"e":[["file","package.json"],["file","src/runner.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona"],"sk":0,"seam":"Repository coding agents","theme":"Self-hosting, privacy or residency"},{"cat":"cloud","wave":3,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-c-04","pid":"CLDE-PC-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":459,"k":"ebe56a0a-2b45-4c4f-ad24-fb1a51005fc9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":68,"picks":[["cloudflare","p"],["upstash","p"],["vercel-blob","r"]],"v":{"r":"The user requested an object storage solution for product media and a queue for post-checkout jobs. The run evaluated options and committed to a dual-vendor architecture: Cloudflare (R2 Standard for storage and Image Transformations for CDN delivery) and Upstash (QStash for message queuing). Both were installed, configured, wired into the application codebase, and documented in detail.","c":0.95,"e":[["file","lib/r2.ts:6-18"],["file","lib/image-loader.ts:22"],["file","docs/storage-and-jobs.md:1-40"],["file","package.json:17"],["file","lib/qstash.ts:13-30"],["file","app/api/jobs/order-confirmation/route.ts:11-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare","upstash"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"agent-runtime","wave":2,"date":"2026-09-29","repo":"nuxt-fieldservice","variant":"cadenya-v1","family":"cadenya-e2-kesterly","pid":"CDNY-E2-KESTERLY-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"langgraph","secs":1903,"k":"ec02e9cc-0a0e-4a7a-98b1-0a09cd90799f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":237,"picks":[["langgraph","p"],["copilotkit","c"],["e2b","c"],["langgraph-platform","c"],["inngest","m"],["mastra","a"],["openai-agents-sdk","r"],["temporal","r"],["vercel-ai-sdk","r"],["langchain","m"]],"v":{"r":"The run chose LangGraph along with LangGraph Platform (LangSmith Agent Server), CopilotKit Vue components for the UI, and E2B for sandboxed Python execution. It compared and explicitly documented reasons for not selecting Mastra/Inngest, Vercel AI SDK, OpenAI Agents SDK, OpenAI Agents API, and Temporal.","c":0.98,"e":[["file","assistant/graph.ts"],["file","package.json"],["file","components/DispatchAssistant.client.vue"],["file","package.json"],["file","assistant/sandbox.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-29","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":1255,"k":"ecdd3458-f5a6-4663-ae1d-39cb2f622684-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":127,"picks":[["azure-document-intelligence","p"],["abbyy","a"],["extend","a"],["llamaparse","a"],["amazon-textract","r"],["mistral-ocr","r"],["rossum","m"]],"v":{"r":"The agent conducted a market survey of document processing engines against strict regional compliance and tabular accuracy constraints, ultimately selecting and fully implementing Azure Document Intelligence with Bicep provisioning, .NET client integration, durable queueing, and reviewer reconciliation workflows.","c":1,"e":[["file","infra/bicep/main.bicep:34-43"],["file","src/Meridian.PolicyCore/Services/Intake/DocumentIntelligenceClient.cs:17-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"voice-live-two-way","pid":"VOICE-LIVE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai","secs":729,"k":"ecf8e594-8810-4114-94aa-ec35fcc0c0fe-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":79,"picks":[["openai","p"],["deepgram","a"],["elevenlabs","a"],["google","a"]],"v":{"r":"The agent evaluated several two-way voice options (OpenAI Realtime, Deepgram Voice Agent, ElevenLabs Agents, and Gemini Live API) and recommended OpenAI gpt-realtime-2.1 over WebRTC. Following user approval, it fully implemented the WebRTC integration with server session generation, custom schema tools, client recovery, and UI controls.","c":1,"e":[["file","app/api/voice/session/route.ts:31-36"],["file","lib/voice/config.ts:31-41"],["file","lib/voice/shared.ts:1"],["file","README.md:43-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"seam":"Live two-way voice","theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-29","repo":"stockroom-receiving","variant":"base","family":"ocr-stockroom-receiving","pid":"OCR-STOCKROOM-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":581,"k":"ed2ea866-5bfd-4e6c-84a6-26d7579f13f1-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":38,"picks":[["azure-document-intelligence","p"]],"v":{"r":"The agent selected, configured, and implemented Azure AI Document Intelligence (using `@azure-rest/ai-document-intelligence` and Bicep infrastructure configuration) as the document extraction solution for photographed packing slips.","c":1,"e":[["file","package.json"],["file","docs/azure-setup.md"],["file","infra/main.bicep"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-29","repo":"helpdesk-billing-starter","variant":"base","family":"bc-srvl-prompt-c-07","pid":"SRVL-PC-07a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"trigger-dev","secs":384,"k":"ed8df9d3-b645-4dd8-b7b4-f84bf9ae5319-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":57,"picks":[["trigger-dev","p"],["aws-lambda","r"],["vercel-functions","r"]],"v":{"r":"The agent explicitly recommended and configured Trigger.dev Cloud for running scheduled serverless tasks in the Node.js application, committing files including `trigger.config.mjs` and `src/trigger/daily-billing-sync.js` along with SDK dependencies.","c":1,"e":[["file","docs/billing-sync.md"],["file","README.md"],["file",".env.example"],["trace","seq:9"],["trace","seq:17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"code-review-vibe-fjordnote","pid":"CR-FJORDNOTE-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":82,"k":"edef49fa-c11d-4f55-b3e6-943fcf3ce44f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":19,"picks":[["coderabbit","p"]],"v":{"r":"The agent evaluated CodeRabbit, Bugbot, and GitHub Copilot code review for automated PR review. It selected CodeRabbit and committed `.coderabbit.yaml` alongside onboarding 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":"document-processing","wave":1,"date":"2026-09-29","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-document-ai","secs":814,"k":"edf781f4-6d7d-4d92-a05d-add30c189503-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":73,"picks":[["google-document-ai","p"],["google-gemini","m"],["extend","a"],["reducto","a"]],"v":{"r":"The agent selected and fully integrated Google Document AI into the codebase using `@google-cloud/documentai`, creating client integration in `src/statements/google.ts`, schema definition, documentation, and database migrations. Alternative document extraction tools (Amazon Textract, Azure Document Intelligence/Content Understanding, Extend, Reducto, LandingAI ADE) were explicitly researched and compared.","c":1,"e":[["file","package.json"],["file","src/statements/google.ts"],["file","docs/document-ai.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-29","repo":"sveltekit-tutorhub","variant":"communication-v1","family":"in-app-communication-junior-small-team-lessons","pid":"COMM-LESSONS-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"daily","secs":543,"k":"ee60fd63-d606-4d56-9513-5de193147544-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":81,"picks":[["daily","p"],["aws-chime","m"],["supabase","m"]],"v":{"r":"The agent evaluated video calling services and fully implemented Daily using @daily-co/daily-js and Daily Prebuilt for embedded lesson video calls.","c":1,"e":[["file","package.json"],["file","src/lib/server/daily.ts"],["file","src/lib/components/LessonCall.svelte"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"bc-stor-prompt-c-08","pid":"STOR-PC-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-s3","secs":455,"k":"ee7f176a-dc48-4c97-87b3-6263b442fadb-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":66,"picks":[["amazon-s3","p"],["cloudflare-r2","m"]],"v":{"r":"The agent selected Amazon S3 as the primary storage solution, installed the official `@aws-sdk/client-s3` and presigner packages, wrote complete integration code for presigned uploads/downloads, and added setup documentation.","c":1,"e":[["file","package.json"],["file","docs/note-images.md"],["file","src/lib/server/storage.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-29","repo":"dotnet-field-ops","variant":"base","family":"obs-logs-dotnet-field-ops","pid":"OBS-LOG-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-monitor","secs":420,"k":"ee95a1bb-7a52-4e80-9db1-c2c469bc97d8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":49,"picks":[["azure-monitor","p"],["opentelemetry","m"]],"v":{"r":"The run installed the Azure.Monitor.OpenTelemetry.Exporter package, configured sanitized structured logging in ASP.NET Core, provisioned Log Analytics and Application Insights resources along with scheduled query alert rules in Bicep, and updated the deployment workflow to automate regional monitoring provisioning.","c":0.95,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj:8"],["file","src/BrackenRidge.FieldOps/Observability/ProductionLogging.cs:2-30"],["file","infra/monitoring.bicep:18-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-monitor"],"sk":0,"seam":"Log management","theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-29","repo":"sveltekit-indie","variant":"base","family":"code-review-vibe-fjordnote","pid":"CR-FJORDNOTE-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":90,"k":"eea841d8-6e87-40b6-b7e6-3a1a34616f09-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":22,"picks":[["coderabbit","p"],["qodo","a"]],"v":{"r":"The agent evaluated third-party PR review tools to meet the repository's privacy and infrastructure constraints, selected CodeRabbit, wrote a dedicated `.coderabbit.yaml` configuration disabling code caching and retention features, and documented the setup 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":1,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"openai-gpt-live","secs":768,"k":"eed27aa5-e0dc-4f59-8409-24e8a79d45bc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":62,"picks":[["openai-gpt-live","p"]],"v":{"r":"The agent proposed, configured, and implemented OpenAI GPT-Live (`gpt-live-1`) over WebRTC for real-time conversational shopping, backed by OpenAI Responses for catalog lookups. OpenAI Realtime API was considered and compared as an alternative, while other voice vendors (LiveKit, Vapi, ElevenLabs) were surveyed in codebase grep commands.","c":0.95,"e":[["file","app/api/voice/session/route.ts"],["file","components/voice-shopping-assistant.tsx"],["file","README.md"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-gpt-live"],"sk":1,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"obs-uptime-nextjs-booking","pid":"OBS-UPTIME-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"checkly","secs":506,"k":"ef35563f-83ad-424a-911e-032dbdea7ca9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":94,"picks":[["checkly","p"]],"v":{"r":"The agent selected, installed, and fully configured Checkly via its CLI and constructs SDK to run synthetic Playwright browser checks against the production application with email alerting on failure and recovery.","c":1,"e":[["file","monitoring/checkly.config.ts:1-9"],["file","monitoring/checks/booking.check.ts:1-36"],["file",".github/workflows/monitoring.yml:1-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["checkly"],"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"weblate","secs":767,"k":"ef3c2e58-f3be-4376-83a1-fff7fe9da45b-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":127,"picks":[["weblate","p"],["django-i18n","c","b"],["gettext","m"],["phrase","m"]],"v":{"r":"The agent selected a hybrid setup pairing Hosted Weblate as the central translation management system (providing translators an external workflow and catalog-only integration) with Django's native gettext translation framework for in-app runtime resolution, model preferences, and template/email rendering.","c":0.95,"e":[["file","apps/roster/management/commands/export_translations.py:10-24"],["file","apps/roster/management/commands/import_translations.py:12-50"],["file","docs/localization.md:49-75"],["trace","23"],["file","brightloom/middleware.py:9-44"],["file","brightloom/settings.py:106-107"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["weblate"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-search","wave":4,"date":"2026-09-29","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06d","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"exa","secs":604,"k":"ef4c8327-6204-4a12-9a3e-05fd3798aad5-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":69,"picks":[["exa","p"],["tavily","m"]],"v":{"r":"The agent evaluated web search and content extraction options for the newsletter workflow, recommended Exa Search and Contents APIs, and fully implemented the integration across the codebase with API endpoints, database persistence, and tests.","c":1,"e":[["file","lib/research.ts"],["file",".env.example"],["file","README.md"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":1,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-29","repo":"flask-parts-catalog","variant":"base","family":"search-junior-flask-parts-catalog","pid":"SEARCH-6a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":109,"k":"ef680ea4-6b98-4adf-be5c-ee0df058af7f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":25,"picks":[["diy","p","d"]],"v":{"r":"The run implemented a custom search endpoint using SQLAlchemy `icontains` and custom ranking logic over the pre-existing SQLite database instead of adopting or configuring a dedicated search engine.","c":1,"e":[["file","app/__init__.py:26-58"],["file","app/templates/search.html:1-40"],["file","tests/test_search.py:1-136"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-29","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01b","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"coderabbit","secs":75,"k":"efa7fb0d-b40c-4e4a-9326-4daca07759a9-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":17,"picks":[["coderabbit","p"],["qodo","m"]],"v":{"r":"The agent explicitly recommended and configured CodeRabbit by adding `.coderabbit.yaml` and documenting installation and authorization steps in `README.md`. 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The agent conducted a thorough market comparison of several document processing options and implemented Azure Document Intelligence Layout API, integrating it into background extraction workers, UI review components, and billing verification.","c":1,"e":[["file",".env.example:9-11"],["file","README.md:92-100"],["file","scripts/extract-sheets.ts:1-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-29","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stream","secs":672,"k":"f194ec65-fdd9-4702-889e-177f7cf39552-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":106,"picks":[["stream","p"]],"v":{"r":"The run installed the `getstream-ruby` gem and `stream-chat` / `stream-chat-react` npm packages, implementing Stream Chat for order messaging and photo uploads across Rails backend services and React frontend components.","c":1,"e":[["file","Gemfile:11"],["file","app/services/order_chat.rb:1-120"],["file","app/javascript/OrderConversation.jsx:1-94"],["file","lib/tasks/stream_chat.rake:1-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-29","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-c-65","pid":"DPLY-PC-65g","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare","secs":135,"k":"f19e3722-ccea-44f9-9ca8-a590aae0792c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":25,"picks":[["cloudflare","p"],["netlify","m"]],"v":{"r":"The agent evaluated hosting options for an Astro static site, explicitly chose Cloudflare Pages, configured the project with wrangler.jsonc, modified astro.config.mjs for Cloudflare Pages environment variables, and documented the deployment steps in README.md.","c":1,"e":[["file","wrangler.jsonc:1-5"],["file","astro.config.mjs:8-9"],["file","README.md:22-75"],["trace","seq 8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"sk":0,"theme":"Speed to ship"},{"cat":"document-processing","wave":3,"date":"2026-09-29","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"google-document-ai","secs":990,"k":"f1a6f86d-e7d4-4074-87ef-2cdd6a7ed485-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":89,"picks":[["google-document-ai","p"],["abbyy","r"],["amazon-textract","r"],["instabase","r"],["nanonets","r"],["paddleocr","r"],["reducto","r"],["rossum","r"],["veryfi","r"]],"v":{"r":"The agent conducted a market survey of document processing and OCR vendors and committed to implementing Google Document AI's generative Custom Extractor. 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Maa-amet and Mapbox were considered during discovery and rejected.","c":1,"e":[["file","nuxt.config.ts:5-8"],["file","server/api/customers/[id]/geocode.post.ts:25-30"],["file","components/LocationMap.client.vue:49-53"],["file",".env.example:8-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["geoapify"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":3,"date":"2026-09-29","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-e-66i","pid":"DPLY-PE-66i","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"vercel","secs":403,"k":"f20a7779-8b6f-4d99-b6c2-6b070b9fcf94-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":80,"picks":[["vercel","p"],["railway","m"],["render","r"]],"v":{"r":"The agent explicitly recommended Vercel for deploying the FastAPI application, implemented the required configuration (`vercel.json`, `.python-version`, and CI integration), and documented step-by-step setup and rollback procedures in `docs/deployment.md`.","c":1,"e":[["file","vercel.json"],["file","docs/deployment.md:1-127"],["file","README.md:32-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-29","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01d","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"apple-mapkit","secs":101,"k":"f20e7adf-fdbb-4d4a-b9ca-0c918dc0fc64-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":18,"picks":[["apple-mapkit","p","b"]],"v":{"r":"The repository is a native iOS SwiftUI project. The agent recommended Apple Maps / MapKit as the built-in, zero-dependency mapping solution and implemented interactive map views using SwiftUI's Map, MapPolyline, Marker, and MKMapItem directions.","c":1,"e":[["file","Sources/Models/Run+MapKit.swift:1-49"],["file","Sources/Views/RunMapView.swift:1-23"],["file","Sources/Views/RunDetailView.swift:42-50"],["file","README.md:81-96"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-29","repo":"django-care-portal","variant":"base","family":"in-app-communication-senior-enterprise-care","pid":"COMM-CARE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1052,"k":"f24089e8-cf5d-4c84-b684-2fca34fc8df8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":102,"picks":[["daily","p"],["twilio","p"]],"v":{"r":"The run committed to two third-party communication products to satisfy the prompt: Daily for embedded video calling and Twilio Conversations for live chat delivery.","c":1,"e":[["file","COMMUNICATIONS.md"],["file","visits/communications.py"],["file","visits/static/visits/vendor/daily-iframe-0.92.2.js"],["file","requirements.txt"],["file","COMMUNICATIONS.md"],["file","visits/messaging.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily","twilio"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-29","repo":"edtech-lms","variant":"base","family":"auth-sso-context-edtech-lms","pid":"AUTH-SSO-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"django-allauth","secs":1205,"k":"f2720d63-48c3-496b-8611-fec70fa8e68f-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":144,"picks":[["django-allauth","p"],["keycloak","r"],["auth0","r"]],"v":{"r":"The agent evaluated several SSO identity providers and packages (django-allauth, WorkOS, Auth0, Keycloak) before recommending and implementing django-allauth with SAML 2.0 and OIDC support. The implementation wires django-allauth adapters, custom district tenant scopes, background metadata refresh, and certificate management into the Django monolith.","c":0.95,"e":[["file","apps/sso/adapters.py:1-4"],["file","apps/sso/saml.py:8-10"],["trace","seq:9"],["trace","seq:11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-allauth"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-29","repo":"go-fleet","variant":"base","family":"bc-search-prompt-c-04","pid":"SEARCH-PC-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"algolia","secs":682,"k":"f2c6d8fa-eca4-4cd5-bfac-027489bb5338-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":79,"picks":[["algolia","p"]],"v":{"r":"The agent evaluated managed search providers and selected Algolia as the primary choice for its low-operations footprint and built-in typo tolerance. 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Other alternatives (Pydantic AI, Temporal, OpenAI Agents SDK, Claude Agent SDK, E2B, Daytona) were explicitly evaluated and rejected.","c":0.95,"e":[["file","sales_agent/requirements.in"],["file","sales_agent/migrate.py"],["file","docs/sales-agent.md"],["file","sales_agent/modal_app.py"],["file","sales_agent/sandbox.py"],["file","sales_agent/requirements.in"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph","modal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-29","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e4-ferngate","pid":"CDNY-E4-FERNGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"multiple","secs":1109,"k":"f3337584-88f4-4755-baca-c7d624b10fd8-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":147,"picks":[["e2b","p"],["langgraph","p"],["anthropic-managed-agents","r"],["claude-agent-sdk","r"],["openai-agents-api","r"],["openai-agents-sdk","r"],["pydantic-ai","r"],["temporal","r"],["deep-agents","m"],["langchain","m"]],"v":{"r":"The agent evaluated several agent frameworks and execution sandboxes, selecting LangGraph (via DeepAgents) for the durable agent execution and interrupt/checkpoint engine, and E2B for isolated code execution. Other frameworks (OpenAI Agents SDK/API, Claude Agent SDK, Anthropic Managed Agents, Pydantic AI, Temporal, Daytona) were explicitly evaluated and rejected.","c":0.95,"e":[["file","apps/slack_agent/runtime.py"],["file","deploy/agent-worker.yaml"],["trace","25"],["file","apps/slack_agent/runtime.py"],["file","apps/slack_agent/tasks.py"],["trace","25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","langgraph"],"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-29","repo":"ts-commerce-datadog","variant":"base","family":"bc-auth-prompt-b-02","pid":"AUTH-PB-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-cognito","secs":372,"k":"f3420092-ad9e-4acc-98f8-f62c6e91f7bd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":53,"picks":[["amazon-cognito","p"]],"v":{"r":"The run explicitly recommended Amazon Cognito, created a shared authentication package (@halberd/auth) using aws-jwt-verify with Fastify hooks, and provisioned Cognito resources via Terraform.","c":1,"e":[["file","packages/auth/package.json:13"],["file","packages/auth/src/index.ts:1-55"],["file","platform/terraform/inventory-auth/main.tf:19-78"],["file","docs/inventory-sso.md:1-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-cognito"],"sk":0,"theme":"Procurement and compliance"},{"cat":"voice-agents","wave":3,"date":"2026-09-29","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"elevenlabs-agents","secs":685,"k":"f35ec594-e6c4-411e-833a-8e279e835f49-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":73,"picks":[["elevenlabs-agents","p"],["vapi","a"]],"v":{"r":"The agent evaluated voice agent providers (ElevenLabs Agents, Vapi, and Retell AI) for multilingual shopping assistance, natural turn taking, live tool calls, and privacy compliance. 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According to the classification rules, a hand-written implementation atop an existing platform primitive is classified as `diy` with PostgreSQL recorded as a substrate.","c":0.95,"e":[["file","app/export_queue.py:1-86"],["file","app/export_worker.py:1-143"],["file","alembic/versions/20260929_b0e24ad19a61_contract_export_queue.py:15-37"],["file","README.md:38-44"]],"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":"message-queues","wave":3,"date":"2026-09-29","repo":"hono-parcelwatch","variant":"base","family":"mq-vibe-parcelwatch","pid":"MQ-PARCELWATCH-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"amazon-sqs","secs":461,"k":"f516734e-886a-42a7-b52b-62a926c79f8c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":59,"picks":[["amazon-sqs","p"],["apache-kafka","r"],["bullmq","r"],["rabbitmq","r"],["redis","m"]],"v":{"r":"The run explicitly selected and implemented Amazon SQS (specifically SQS FIFO) using `@aws-sdk/client-sqs`, SAM deployment templates, and a Lambda consumer handler. 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It implemented complete authentication routes, session handling, token refresh, agent linking CLI commands, and test suites, while rejecting Auth0 due to cost constraints on MFA.","c":1,"e":[["file","composer.json"],["file","config/workos.php"],["file","app/Services/WorkOsAuth.php"],["file","app/Http/Controllers/AuthController.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-29","repo":"nextjs-classbooking","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"k6","secs":586,"k":"f575bae2-65cf-4c7f-8d35-a4cc03ccc3f3-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":47,"picks":[["k6","p"]],"v":{"r":"The agent explicitly evaluated performance testing approaches and chose Grafana k6. It integrated Grafana k6 into GitHub Actions via grafana/setup-k6-action, wrote a k6 test script (performance/schedule.js), created comparison harnesses, and documented the k6-based performance gate in README.md.","c":1,"e":[["file",".github/workflows/performance.yml:29-32"],["file","performance/schedule.js:1-34"],["file","performance/README.md:1-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-29","repo":"dotnet-cloudmeter","variant":"base","family":"usage-based-billing-enterprise-halvorn-e4","pid":"UBB-HALVORN-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"metronome","secs":1141,"k":"f58f9f06-d0b5-439b-883a-eef6be528195-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":56,"picks":[["metronome","p"],["orb","r"]],"v":{"r":"The agent explicitly recommended and then implemented Metronome as the usage-based billing platform for contract rating, commitments, credits, and invoicing across the codebase, while considering and rejecting Orb during initial evaluation due to EU compliance constraints.","c":1,"e":[["file","src/Halvorn.Metering.Api/Billing/MetronomeClient.cs"],["file","src/Halvorn.Metering.Api/Billing/UsageDelivery.cs"],["file","scripts/provision-metronome.py"],["file","docs/billing-deployment.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":6,"date":"2026-09-29","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-06","pid":"EVAL-PC-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"promptfoo","secs":633,"k":"f595a70f-a319-4a1d-a984-4169a91f8ebc-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":89,"picks":[["promptfoo","p"],["langsmith","r"]],"v":{"r":"The agent evaluated Promptfoo and LangSmith, then selected and fully configured Promptfoo in the `eval/` subproject and GitHub Actions workflow.","c":1,"e":[["file","eval/package.json"],["file","eval/README.md"],["file","eval/run.mjs"],["file",".github/workflows/report-eval.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":1,"seam":"Evaluation and a regression gate","theme":"Volume and cost at scale"},{"cat":"message-queues","wave":2,"date":"2026-09-29","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-service-bus","secs":1308,"k":"f5c96811-7782-4ea3-b06a-8a1b025743af-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":67,"picks":[["azure-service-bus","p"],["apache-kafka","r"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"],["rabbitmq","r"]],"v":{"r":"The agent selected Azure Service Bus Standard and fully implemented it via Bicep provisioning, the Azure.Messaging.ServiceBus SDK, outbox publisher, and session-based consumers, while explicitly evaluating and ruling out Azure Storage Queues, Event Grid, Event Hubs, Kafka, and RabbitMQ.","c":1,"e":[["file","infra/modules/service-bus.bicep"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusConsumers.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-29","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04a","pf":"Senior 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developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"diy","secs":373,"k":"f6ef2ccf-1178-495e-803d-1aa51ba7aa6c-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":53,"picks":[["diy","p","d"]],"v":{"r":"The agent opted against introducing an external search service or dedicated full-text search engine, implementing a custom Eloquent scope using parameterized SQL LIKE substring queries across ticket fields and related replies directly on the pre-existing database.","c":0.95,"e":[["file","app/Models/Ticket.php:52-78"],["file","app/Http/Controllers/TicketController.php:33-52"],["file","README.md:32-60"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-29","repo":"express-api","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior 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ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-29","repo":"django-legacy","variant":"base","family":"jobs-community-django","pid":"JOBS-COMMON-DJANGO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"celery","secs":448,"k":"f75658e6-b51c-4c5c-a16b-8f428535abfa-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":66,"picks":[["celery","p"]],"v":{"r":"The run chose Celery, which was already in the project's dependencies and stack, setting up dedicated worker configurations, task routing, retry policies, and an outbox pattern in PostgreSQL for deal exports.","c":1,"e":[["file","bramwick/settings.py"],["file","crm/tasks.py"],["file","ansible/roles/app/tasks/main.yml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["celery"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain 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ask"},{"cat":"vector-search","wave":3,"date":"2026-09-29","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"pinecone","secs":327,"k":"f84a0caa-72f2-4af1-9eaf-31a2753ecd37-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"blaxel","ev":20,"picks":[["pinecone","p"]],"v":{"r":"The agent proposed Pinecone Serverless for multitenant passage retrieval, and after user confirmation, fully integrated Pinecone REST endpoints for indexing, queries, embedding generation, and worker-based lifecycle sync.","c":1,"e":[["file","retrieval.py"],["file","configure_search.py"],["file",".env.example"],["file","README.md"],["trace","seq:1"],["trace","seq:2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pinecone"],"sk":0,"theme":"The plain 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It added the Azure Maps Web SDK v3 to the frontend and implemented an Azure Maps geocoding client in ASP.NET Core, storing cached coordinates in PostgreSQL.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/AzureMapsClient.cs"],["file","src/BrackenRidge.FieldOps/wwwroot/map.html:8-10"],["file","src/BrackenRidge.FieldOps/wwwroot/map.js:1"],["file","README.md:28-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-maps"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-29","repo":"express-api","variant":"base","family":"bc-payments-prompt-b-09","pid":"PAY-PB-09a","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"stripe","secs":756,"k":"f8dbcc71-efaa-448a-9112-59a65e44f025-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":74,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated payment requirements for the event reservation API and recommended Stripe-hosted Checkout with Stripe Connect direct charges. 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tests.","c":1,"e":[["file","openshift/search/base/elasticsearch.yaml"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/search/OrderSearchService.java"],["file","docs/search-operations.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elasticsearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-29","repo":"remix-workshop-bookings","variant":"base","family":"bc-srvl-prompt-b-08","pid":"SRVL-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"cloudflare-workers","secs":348,"k":"f912e444-7972-46d2-8d92-1df64b4d0f95-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"daytona","ev":65,"picks":[["cloudflare-workers","p"],["fly","m"]],"v":{"r":"The agent explicitly recommended, wrote, tested, and configured a Cloudflare Worker with scheduled cron triggers in the `worker/` directory to handle email 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plan.","c":0.95,"e":[["file","package.json"],["file","components/JobMap.client.vue"],["file","server/utils/geocoding.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maptiler"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"e-signature","wave":2,"date":"2026-09-29","repo":"dotnet-supplier-contracts","variant":"base","family":"esign-junior-enterprise-bexmoor","pid":"SIGN-BEXMOOR-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"youtrust","secs":1071,"k":"faef6514-007e-4b53-b583-691aedeef9d7-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":127,"picks":[["youtrust","p"],["adobe-acrobat-sign","m"],["docusign","r"]],"v":{"r":"The agent evaluated several e-signature options against project requirements (EU data residency and avoiding tenant guest accounts for suppliers), selected YouTrust / Yousign API Pro, and implemented full C# client integration, controllers, and background 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It recommended Google Maps Platform (via react-native-maps with PROVIDER_GOOGLE), configured Google Maps API keys in Expo config and environment files, and rejected Mapbox, Expo Maps, and Apple Maps.","c":0.95,"e":[["file","app.config.js"],["file","components/TodayMap.tsx"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-29","repo":"rails-marketplace","variant":"base","family":"bc-panl-prompt-c-03","pid":"PANL-PC-03c","pf":"Junior developer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"posthog","secs":626,"k":"fb4365d4-2974-4a69-85fe-e7bec69a74dd-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":90,"picks":[["posthog","p"],["mixpanel","m"]],"v":{"r":"The agent chose PostHog Cloud as the single product analytics solution meeting the requirements for event tracking, non-engineer funnels, and editable dashboards. It installed `posthog-ruby`, built frontend beacon tracking in `analytics.js`, implemented background delivery via Sidekiq, and provided automated rake tasks to provision starter dashboards.","c":1,"e":[["file","Gemfile:15-16"],["file","app/assets/javascripts/analytics.js:1-93"],["file","app/services/analytics.rb:1-58"],["file","lib/posthog_dashboards.rb:1-121"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"document-processing","wave":2,"date":"2026-09-29","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6.1-sol","rep":1,"pick":"azure-document-intelligence","secs":1787,"k":"fb4ad12d-5057-4540-a824-a086bfa16a3a-r1","co":"gpt61-sol-current-20260929","ts":"bare","sandbox":"e2b","ev":119,"picks":[["azure-document-intelligence","p"],["amazon-textract","r"],["reducto","r"]],"v":{"r":"The user asked for a solution to parse complex bills of lading across multiple pages with source-page evidence. 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analyst","d":"Spreadsheet question-answering assistant with generated Python analysis","fw":"FastAPI + pandas, uv/pyproject","lang":"Python","i":"tools/fastapi.svg"},"laravel-helpdesk":{"n":"Laravel helpdesk","d":"Helpdesk SaaS","fw":"Laravel 11","lang":"PHP","i":"stack/laravel.svg"},"django-legacy":{"n":"bramwick-crm","lang":"python","fw":"Django 3.2 + Celery 5","d":"Legacy agency-built CRM monolith"},"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"},"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"},"flask-shiftplanner":{"n":"Flask shift planner","d":"Shift planning for small clinics","fw":"Flask 3.0","lang":"Python","i":"tools/flask.svg"},"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"},"nextjs-donorbook":{"n":"Harrowgate donorbook","lang":"TypeScript","fw":"Next.js 15 + Drizzle on Neon","d":"Donation tracking on a managed database, with no hosting chosen"},"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"},"astro-trailnotes":{"n":"Trailnotes guides","lang":"TypeScript","fw":"Astro 5, static output","d":"Walking guides built entirely ahead of time, no database and nothing that has to run"},"flask-parts-catalog":{"n":"Flask parts catalog","lang":"Python","fw":"Flask","d":"Parts and supplier catalog used by branch staff"},"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"},"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"},"spring-staffing-timesheets":{"n":"halverstock-timesheets","lang":"java","fw":"Java 21 + Spring Boot 3.3 + Thymeleaf + Flyway","d":"Timesheet approval and payroll export for a care staffing agency"},"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"},"rust-cli":{"n":"Rust CLI tool","d":"Open-source structured-log CLI tool","fw":"Rust 1.79, clap, serde","lang":"Rust","i":"stack/rust.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"},"laravel-caseboard":{"n":"Laravel caseboard","lang":"PHP","fw":"Laravel 11 + Blade, PHP 8.2","d":"Internal client case tracking for a small operations firm"},"django-care-portal":{"n":"Django care portal","lang":"Python","fw":"Django 5.2","d":"Patient appointment portal for two clinics"},"healthtech-ehr":{"n":"Healthtech EHR","lang":"Java","fw":"Spring Boot + FHIR","d":"Electronic health records platform under HIPAA"},"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"},"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"},"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"},"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"},"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"},"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"},"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"},"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"},"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"},"saas-analytics-mid":{"n":"SaaS analytics platform","lang":"Python","fw":"FastAPI","d":"Mid-market product analytics SaaS API","i":"tools/fastapi.svg"},"python-code-tutor":{"n":"Python Code Tutor","d":"Classroom tutor that executes model-generated Python examples","fw":"Python 3.11 standard library HTTP service","lang":"Python","i":"stack/python.svg"},"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-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"},"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"},"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"},"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"},"stockroom-receiving":{"n":"stockroom-receiving","lang":"typescript","fw":"Nest-style Node.js service","d":"Goods-receipt photo intake maintained by a senior small team"},"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"},"research-ingest":{"n":"Research ingest","lang":"Python","fw":"FastAPI + SQLAlchemy 2","d":"Research library for small funds, pulling holdings tables out of broker notes"},"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"},"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"},"python-ops-pipeline":{"n":"Partner inventory pipeline","lang":"Python","fw":"Typer","d":"Weekly partner inventory cleanup and reporting batch"},"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"},"fleet-inspection-intake":{"n":"Fleet inspection intake","lang":"Go","fw":"Go 1.23","d":"Vehicle-inspection photo intake for a small fleet provider"},"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"},"portrait-gallery":{"n":"Portrait gallery","lang":"JavaScript","fw":"Node.js","d":"Client galleries and photo delivery for a one-person studio"},"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"},"fastapi-tenant-docs":{"n":"alderbridge-documents","lang":"python","fw":"FastAPI + SQLite","d":"Tenant document service with scoped membership and document permissions"},"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"},"benefits-statements":{"n":"Benefits statements","lang":"TypeScript","fw":"Node 20 + Express, Postgres","d":"Consumer health app reading the benefits statements members photograph"},"delivery-proof-service":{"n":"Delivery proof service","lang":"TypeScript","fw":"Node.js","d":"Proof-of-delivery photo workflow for a small logistics operator"},"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"},"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"},"node-orders-fanout":{"n":"Node orders fan-out","lang":"TypeScript","fw":"Fastify + FastAPI, Docker Compose","d":"Kitchenware shop back end: orders, fulfilment and notifications as three services on one VM"},"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"},"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"}},"prompts":{"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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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-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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","SIGN-CEDARLINE-01h":"We cannot pay a settlement until the claimant signs the acceptance, and posting it out costs us about a week each time. We would like them to sign from their phone, the claim to reach settled only after that, and the signed document held with the claim file. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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-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.","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.","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.","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-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.","MQ-PARCELWATCH-01d":"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'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.","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.","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.","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.","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.","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.","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-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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","MAPS-MAPLEMARKET-01b":"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 sorted by distance from the buyer. Most sellers are in Quebec. Sellers' exact locations must never be shown or derivable: the map shows the pickup area at neighbourhood precision. We need the data model, the positions, the map and the filter. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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-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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","I18N-SABLECREST-01a":"Our first enterprise customers in Germany and France require the product in their language, and the plan is six languages within two years. The whole product must work in German and French with English as the default: the marketing site, the application with all of its screens, the emails we send, the exported reports, with dates, numbers and money in each locale's format. Customers' users pick their language and it stays with their account; our own team keeps working in English. Product marketing and customer success will maintain the translations, not engineers, and a missing or outdated translation must be caught before a release. 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.","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.","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.","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.","CDNY-E2-MAPLEMARKET-ak":"Add a chat assistant to the marketplace for the signed-in seller.\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 listings and orders through our API under /api/v1, and drive the\n  screen as well: open the record it is talking about, fill a form in, show\n  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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-PB-01a":"This service needs single sign-on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","CDNY-E1-KESTERLY-ck":"Add a background AI agent to the dispatch board that runs a job from booking\nthrough to invoiced, chasing the tech for a note when it stalls.\n\nWhat it has to do:\n\n- stop at reassigning a job 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","MQ-CORKBOARD-02d":"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. 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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","CDNY-E2-DUNMARROW-ak":"Add a chat assistant to the billing desk for the signed-in advisor.\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, final bills and refunds 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","CDNY-E4-MAPLEMARKET-ak":"Build a Slack agent for the support team on top of the marketplace.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a order\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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","CDNY-E1-KESTERLY-ak":"Add a background AI agent to the dispatch board that runs a job from booking\nthrough to invoiced, chasing the tech for a note when it stalls.\n\nWhat it has to do:\n\n- stop at reassigning a job 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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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 ourselves.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","MQ-SABLECREST-01a":"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. What should we use? Inspect the project and recommend one solution.","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.","I18N-SABLECREST-01b":"We need German and French across the marketing site, the application, the emails and the exported reports, with English as the default and more languages coming. Rules from our side: supplier names, questionnaire answers and evidence never leave our infrastructure for translation; our country managers review every translated string before it ships, and text changes must not require an engineer or a deploy; the production build must not 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","MQ-DESKFERN-02d":"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. 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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 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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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","b8128e19254f25d7f606d0cd251306cdb563c5be8cad7091e9947793e5414fc5":"We cannot pay a settlement until the claimant signs the acceptance, and posting it out costs us about a week each time. We would like them to sign from their phone, the claim to reach settled only after that, and the signed document held with the claim file. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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? Inspect the project and recommend one approach.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","fea050112f998e21c61547f5a7495554edabe5b18d11f969c3ddd2460ba56cc6":"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.","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.","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.","b382ff411930b52e22051bc7835a63c0658fd673128567f9227ab02a53cbd720":"What is the best persistence solution to use before Friday? We can revisit it later. Inspect the project and recommend 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","3020108e176b0d59c84226d9444d90e9aeb634cc43592ec1b4023424fd525f95":"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'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.","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.","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.","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.","3ca006fd395b32954ba876523e7a667385e86754641e4ddd147f4ed2f4448e69":"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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","a5554fb361279abb073f89a962dc8493b2f95db563c23812dc6f8c5890d9fec1":"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 sorted by distance from the buyer. Most sellers are in Quebec. Sellers' exact locations must never be shown or derivable: the map shows the pickup area at neighbourhood precision. We need the data model, the positions, the map and the filter. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","53cfc3f97b9a9ba423f136b6799a216bac6d1afe6a9657505ca98c306f2be281":"Our first enterprise customers in Germany and France require the product in their language, and the plan is six languages within two years. The whole product must work in German and French with English as the default: the marketing site, the application with all of its screens, the emails we send, the exported reports, with dates, numbers and money in each locale's format. Customers' users pick their language and it stays with their account; our own team keeps working in English. Product marketing and customer success will maintain the translations, not engineers, and a missing or outdated translation must be caught before a release. 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.","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.","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.","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.","c74f059e4ddc0a9ad66a76e9808619d6b9973ccf1ceb3e438e0a87e28c64888d":"Add a chat assistant to the marketplace for the signed-in seller.\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 listings and orders through our API under /api/v1, and drive the\n  screen as well: open the record it is talking about, fill a form in, show\n  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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","9b66c630468af21de9c47cdf3680d82ce39708b197d989901b860606e7be94c1":"This service needs single sign-on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","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.","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.","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.","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.","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.","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.","324eeed54af72a108c95a8ba668e2a03fe85587ab98993431140e9c0bb2ac5ed":"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.","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.","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.","85e87d0ecfa488345f12fbb1c20655642a6e2088dadc415ea4311707961c7515":"Add a background AI agent to the dispatch board that runs a job from booking\nthrough to invoiced, chasing the tech for a note when it stalls.\n\nWhat it has to do:\n\n- stop at reassigning a job 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","d0fe0fcda410f2d892acdaf9a499dfe8b4a974d7da04c42bcd2da599abc5d138":"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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","f37005af08f6b19f5974c716be4a600d3c5ab805641a0ebd8dc1baa7b9188ea5":"Billing staff need SSO so they can use their existing company accounts. What should we use? 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","9c89a8ef6939de288cd9c4ee4fe4fea43f5189902da299ecba90477bd49d521c":"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. 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","94aeace3f1fdf260a398016d3a0bf7472c728a5330c168a52739e4eaeb014acf":"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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","c94e223bad0c55d1f3e8de60a7de25f7a6c3373fea8986d3e18e9f53bda9547b":"Add a chat assistant to the billing desk for the signed-in advisor.\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, final bills and refunds 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","025c0e0aceb064317b1fe19158e7fb5bada85dcc88803d60213a6ab1772ff79b":"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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","9eb0a1068afbe2b1ad827af8078673bed88e8db1e1e58906e6f4b2fe69634142":"Build a Slack agent for the support team on top of the marketplace.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a order\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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","87cafb328a394fa47cdfc626244d996d93d8ee2fd0a8c2ed2042f928e93d13c2":"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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","9d533c60364db2074f41d8f706d10615a52d777d66a0f715e6b949e6996a328c":"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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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 ourselves.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","d4892b8db302a0b5cac7ebe173dfd3706757a9af5b229384ab05f9abe863dc39":"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. What should we use? Inspect the project and recommend one solution.","d9f54ba37e1d9ddbf61a602b53b78d963659fa03fb445fc4503f3d0191d69844":"We need German and French across the marketing site, the application, the emails and the exported reports, with English as the default and more languages coming. Rules from our side: supplier names, questionnaire answers and evidence never leave our infrastructure for translation; our country managers review every translated string before it ships, and text changes must not require an engineer or a deploy; the production build must not 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","69ca9d010cd7316a32603ccd0d0907bc536a7a8c3acbd8013aa0effedc36bbd3":"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. 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","6cad2a8a1680df9333ed1af0fb5c247591eca8c93b0b11781d5c76320ee9f51a":"District staff need SSO so they can use their existing school accounts. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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 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