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It recommended DigitalOcean Managed PostgreSQL as an economical, predictable fixed-cost option and subsequently implemented the schema, CLI integration, connection verification, and documentation using psycopg.","c":0.95,"e":[["file","README.md:49-98"],["file","pyproject.toml:8"],["file","src/kirkfell_reporting/history.py:1-136"],["file","src/kirkfell_reporting/cli.py:28-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["digitalocean-managed-databases"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mapbox","secs":308,"k":"04620dfc-0370-47bd-bf01-5a89d041c4b7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":61,"picks":[["mapbox","p"],["nominatim","r"],["openstreetmap","m"]],"v":{"r":"The agent explicitly recommended and integrated Mapbox for both forward geocoding (Search API v6) and static map rendering (Static Images API), while handling distance calculation and radius filtering in PostgreSQL with PostGIS.","c":1,"e":[["file","app/services/mapbox_geocoder.rb"],["file","app/helpers/listings_helper.rb"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openstreetmap","secs":153,"k":"04a7acc8-41e5-42fa-b6fe-30e7e76d1655-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":19,"picks":[["openstreetmap","p"],["google-maps","m"]],"v":{"r":"The agent implemented a shared StudioLocation component embedding an OpenStreetMap iframe with marker coordinates for the visual map, alongside an external Google Maps directions link.","c":0.95,"e":[["file","app/StudioLocation.tsx:1-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openstreetmap"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"pg-boss","secs":547,"k":"04af88e7-2abb-4894-aa15-9f79e70ad650-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":89,"picks":[["pg-boss","p"],["amazon-sqs","m"],["inngest","m"],["pgmq","m"],["upstash","m"],["graphile-worker","a"],["bullmq","r"],["redis","r"]],"v":{"r":"The agent selected pg-boss as the primary queue library, added it to package.json, created database migrations for webhook events and deliveries, and configured the worker in scripts/worker.ts to handle pg-boss jobs and schedules.","c":1,"e":[["file","package.json"],["file","lib/jobs.ts"],["file","scripts/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pg-boss"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mapbox","secs":441,"k":"0541ed7f-1705-418e-82d7-d8143df33b9b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":52,"picks":[["mapbox","p"],["geoapify","m"],["leaflet","m"],["maptiler","m"]],"v":{"r":"The agent selected and implemented Mapbox for both geocoding (Mapbox Geocoding API v6) and map display (Mapbox Static Images API with GeoJSON polygons). 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`modal.Sandbox.create`.","c":1,"e":[["file","northstar/executor.py"],["file","pyproject.toml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Student and model snippets","theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"botp-enterprise-edtech-lms","pid":"BOTP-05b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"turnstile","secs":197,"k":"0a48b212-9ca0-49a8-a4ea-5f30e01709f4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["turnstile","p"],["recaptcha","r"]],"v":{"r":"The agent explicitly recommended and implemented Cloudflare Turnstile to protect the admin login endpoint against credential-stuffing bots. It added a custom AdminAuthenticationForm doing server-side token verification, a custom admin login template loading the Turnstile script, configuration in Django settings, and deployment secret mounting in Cloud Run/Cloud Build.","c":1,"e":[["file","brightloom/admin_auth.py:1-35"],["file","templates/admin/turnstile_login.html:1-56"],["file","brightloom/settings.py:143-144"],["file","cloudbuild.yaml:39"],["file","deploy/service.yaml:54-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"vector-v1","family":"vector-search-junior-small-team-reports","pid":"VEC-REPORTS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-vector-stores","secs":207,"k":"0aadab49-5805-4081-bd8a-e0e37814d1f1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":29,"picks":[["openai-vector-stores","p"]],"v":{"r":"The agent proposed and fully implemented semantic search using OpenAI Vector Stores via the OpenAI Retrieval API and existing SDK, adding indexing, background reconciliation, search endpoints, and unit tests.","c":1,"e":[["file","src/search.ts:7-98"],["file","src/app.ts:10-34"],["file","README.md:46-90"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-vector-stores"],"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"portrait-gallery","variant":"base","family":"auth-vibe-portrait-gallery","pid":"AUTH-6a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-identity","secs":225,"k":"0b3196bc-2a32-4b1c-8379-c3e9cf1c26c8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":17,"picks":[["google-identity","p"],["diy","c","d"],["google-sign-in","m"]],"v":{"r":"The run adopted Google Identity Services (using google-auth-library on the server and Google's GSI web client on the frontend) to authenticate users via Google ID tokens. It combined this with a custom DIY session token and grant authorization system persisted in SQLite.","c":0.95,"e":[["file","package.json"],["file","src/server.js"],["file","src/login.js"],["trace","4"],["file","src/gallery.js"],["file","src/server.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-identity"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-content-understanding","secs":924,"k":"0b31ae02-da3f-4615-8d4b-b2dfe2f75fdb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":154,"picks":[["azure-content-understanding","p"],["amazon-textract","r"],["anthropic-claude","r"],["google-document-ai","r"],["google-gemini","r"],["openai-models","r"]],"v":{"r":"The agent fully implemented Azure Content Understanding as the primary document processing solution, including schema definition, client wrapper, REST API polling, and database integration, while explicitly evaluating and dismissing Google Document AI, Azure Document Intelligence, Amazon Textract, Anthropic Claude, Google Gemini, and OpenAI models.","c":1,"e":[["file","src/contracts/azure.ts:68-171"],["file","docs/azure-analyzer.json:1-30"],["file","README.md:29-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-content-understanding"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":5,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-01","pid":"EVAL-PC-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langfuse","secs":382,"k":"0b70df21-e7a8-4944-adf3-2749c043e65a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["langfuse","p"],["langsmith","m"]],"v":{"r":"The user requested a recommendation and implementation of production LLM observability. The run evaluated options, recommended Langfuse Cloud, and implemented it end-to-end across the application using `@langfuse/openai`, `@langfuse/otel`, and `@langfuse/tracing` over `@opentelemetry/sdk-node`.","c":0.98,"e":[["file","package.json:17-21"],["file","src/observability.ts:1-20"],["file","src/model.ts:1-27"],["file","src/app.ts:21-43"],["file","README.md:17-56"],["file","tests/observability.test.ts:1-130"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":1,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"grafana","secs":361,"k":"0b85c84c-ec5a-42dd-b3fe-092ae4493941-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":69,"picks":[["grafana","p"],["opentelemetry","m"],["prometheus","m"],["sentry","r"]],"v":{"r":"The run evaluated Sentry and Grafana Cloud, ultimately selecting Grafana Cloud as the unified backend for traces, metrics, and logs. It instrumented the Express application using OpenTelemetry Node SDKs to export directly via OTLP and scripted an alert rule provisioning targeting the Grafana HTTP API.","c":1,"e":[["file","README.md:29-41"],["file","scripts/provisionAlert.js:1-89"],["file",".env.example:9-11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"code-review-vibe-fjordnote","pid":"CR-FJORDNOTE-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"reviewdog","secs":467,"k":"0c212337-d08b-481d-bdcd-9c9837483e57-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":59,"picks":[["reviewdog","p"],["semgrep","c"],["coderabbit","r"]],"v":{"r":"The user requested an automated pull-request review solution that strictly preserves privacy by avoiding services that retain source code. The run chose and implemented a local analysis and reporting pipeline using Semgrep with local rules to produce findings and reviewdog in GitHub Actions to post inline PR review comments.","c":0.95,"e":[["file",".github/workflows/pr-review.yml"],["file","README.md"],["file",".semgrep.yml"],["file",".github/workflows/pr-analysis.yml"],["file","scripts/semgrep-report.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["reviewdog"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":479,"k":"0cfc2445-7543-494a-a12a-169e5f97612d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":60,"picks":[["mapbox","p"],["searoutes","p"],["google-maps","m"]],"v":{"r":"The run adopted a hybrid mapping architecture: Searoutes was selected for UN/LOCODE geocoding and maritime route geometry calculation, while Mapbox (Mapbox GL JS and Mapbox Directions API) was selected for front-end rendering and road routing. Both products were configured with secrets in CDK infrastructure and implemented in the application code.","c":0.95,"e":[["file","apps/web/package.json"],["file","apps/web/app/shipments/shipments-map.tsx"],["file","apps/api/src/shipments/shipment-map.service.ts"],["file","infra/lib/api-stack.ts"],["file","apps/api/src/shipments/shipment-map.service.ts"],["file","infra/lib/api-stack.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox","searoutes"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"datadog","secs":395,"k":"0d24aad8-21ac-4e2d-8a35-73f1167f0431-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":81,"picks":[["datadog","p"],["betterstack","m"],["grafana","m"],["sentry","m"],["highlight","m"]],"v":{"r":"The agent selected Datadog as the single unified observability solution. It installed the dd-trace package, configured auto-instrumentation and custom span tracing, created an Agent container in docker-compose.yml, set up DogStatsD UDP metric reporting for SMS failure counts, wrote a reproducible Datadog monitor setup script, and provided an alert test runner.","c":1,"e":[["file","package.json"],["file","docker-compose.yml"],["file","observability/logger.js"],["file","scripts/installSmsAlert.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"payments-junior-express-api","pid":"PAY-12a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":287,"k":"0d65e5f9-dd91-44b5-9a91-a9c47c2db8d1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":58,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated payment flows and selected Stripe Checkout for handling ticket payments, installing the official Node.js SDK and implementing checkout session creation, webhook fulfillment, hold reconciliation, and refund handling.","c":1,"e":[["file","package.json"],["file","controllers/checkoutController.js"],["file","services/checkout.js"],["trace","seq:11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"code-review-senior-grebe","pid":"CR-GREBE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"codex-code-review","secs":80,"k":"0da93f06-41d5-497e-88c3-042bc85e1881-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":18,"picks":[["codex-code-review","p"],["coderabbit","m"]],"v":{"r":"The agent explicitly recommended and configured OpenAI Codex Code Review, adding AGENTS.md with custom code review rules and updating CONTRIBUTING.md with instructions to connect the repository to Codex cloud.","c":0.95,"e":[["file","AGENTS.md:1-9"],["file","CONTRIBUTING.md:41-49"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["codex-code-review"],"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"auth-enterprise-ts-commerce-datadog","pid":"AUTH-10a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-cognito-user-pools","secs":237,"k":"0e4dd56c-1ab8-4304-bbf6-866630b8c660-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":27,"picks":[["amazon-cognito-user-pools","p"],["okta","m"],["auth0","m"],["cognito-identity-pools","r"]],"v":{"r":"The agent selected Amazon Cognito User Pools to provide single sign-on and token issuance for the inventory service. It implemented Fastify route hooks in `services/inventory/src/auth.ts` to validate access tokens issued by Cognito against the pool's JWKS, configured environment variables and scopes, wrote integration tests with signed tokens, and documented deployment provisioning steps.","c":1,"e":[["file","services/inventory/src/auth.ts:1-69"],["file","docs/inventory-auth.md:1-54"],["file",".env.example:27-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-cognito-user-pools"],"pb":1,"sk":0,"oc":["here"],"theme":"Procurement and compliance"},{"cat":"search","wave":2,"date":"2026-09-22","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-sol","rep":1,"pick":"diy","secs":198,"k":"0e7e93af-2801-4ba3-be3e-6c0af52f5531-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":38,"picks":[["diy","p","d"]],"v":{"r":"The run implemented a hand-written operations lookup endpoint (`GET /api/v1/ops/orders`) using Spring Data JPA repository queries (`findBySubscriberId` and `findByExternalRef`) to search orders by identifier, adopting no external or third-party search engine.","c":0.95,"e":[["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/OperationsOrderController.java:46-75"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/repository/LineOrderRepository.java:18"],["file","README.md:33-49"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"resend","secs":197,"k":"0e99df65-34d9-4af9-b33e-b39e3d9a982f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":37,"picks":[["resend","p"],["postmark","m"]],"v":{"r":"The agent evaluated transactional mail providers and committed to Resend by installing the SDK, replacing the internal mail relay with Resend batch sending in the owner actions, creating a webhook route for delivery tracking, and documenting production configuration requirements.","c":1,"e":[["file","package.json"],["file","lib/reminders.ts"],["file","app/owner/actions.ts"],["file","app/api/resend/webhook/route.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":"agent-runtime","wave":1,"date":"2026-09-22","repo":"spring-utility-billing","variant":"base","family":"cadenya-e1-dunmarrow","pid":"CDNY-E1-DUNMARROW-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":857,"k":"0e9d0742-3d41-41e1-b3be-d6fbd90a2f51-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":132,"picks":[["langchain4j","p"],["temporal","p"],["camunda-8","r"],["jobrunr","r"],["aws-step-functions","r"],["spring-ai","r"],["langchain","m"]],"v":{"r":"The agent evaluated several workflow and agent orchestrators, explicitly comparing Temporal, Camunda 8, JobRunr, AWS Step Functions, Spring AI, and building on PostgreSQL. It implemented Temporal SDK (for durable workflow execution and human-in-the-loop signaling) alongside LangChain4j (for provider-agnostic model routing), configuring both in pom.xml and writing the corresponding Java workflow activities and model router.","c":0.95,"e":[["file","pom.xml:32-41"],["file","src/main/java/com/dunmarrow/billing/closure/ModelRouter.java:1-66"],["file","pom.xml:27-31"],["file","src/main/java/com/dunmarrow/billing/closure/TemporalConfiguration.java:1-45"],["file","src/main/java/com/dunmarrow/billing/closure/ClosureWorkflowImpl.java:1-64"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langchain4j","temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","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-sol","rep":1,"pick":"entra-id","secs":285,"k":"0ebaed11-4ad7-49af-ab2a-603c808e1516-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["entra-id","p"]],"v":{"r":"The agent selected and fully implemented Microsoft Entra ID SSO using Microsoft.Identity.Web to validate JWT bearer tokens and enforce role and scope authorization across the API routes.","c":1,"e":[["file","src/Northmere.Billing.Api/Program.cs:25-34"],["file","infra/main.bicep:14-20"],["file","README.md:34-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"ai-search-junior-vardell-e6","pid":"AISRCH-VARDELL-06c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"firecrawl","secs":421,"k":"0f176508-d565-4f81-9e28-d2514ab98e33-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["firecrawl","p"],["brave-search","r"],["google-cse","r"]],"v":{"r":"The run explicitly recommended and implemented Firecrawl Cloud to search for manufacturer pages and retrieve/scrape PDF datasheets using Firecrawl's API in app/enrichment.py, after comparing it against Brave Search API and Google Programmable Search.","c":0.98,"e":[["file","app/enrichment.py:42-69"],["file","README.md:50-60"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["firecrawl"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"agentgateway","secs":365,"k":"0fdd5206-29f9-44d5-a68b-f1579ebc1921-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":57,"picks":[["agentgateway","p"],["mcpg","m"],["toolhive","m"]],"v":{"r":"The agent evaluated multiple MCP gateway options and selected agentgateway's Virtual MCP capability. It committed the choice by writing Flux manifests, an AgentgatewayParameters/AgentgatewayPolicy template, a per-region manifest renderer script, tests, and documentation.","c":1,"e":[["file","platform/agentgateway/flux.yaml:1-52"],["file","platform/agentgateway/incident-mcp.yaml.template:1-210"],["file","platform/agentgateway/README.md:1-92"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agentgateway"],"sk":0,"theme":"Procurement and compliance"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"auth-choice-fieldservice-saas-billing","pid":"AUTH-N-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":204,"k":"0fe548a9-35ad-4d35-9d68-dbace7a8f820-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":26,"picks":[["clerk","p"],["auth0","m"],["supabase-auth","m"],["workos-authkit","m"]],"v":{"r":"The agent evaluated auth options and implemented Clerk end-to-end using @clerk/nuxt, adding configuration in nuxt.config.ts, environment variable templates in .env.example, frontend components in app/pages/index.vue, and workspace authorization logic.","c":1,"e":[["file","nuxt.config.ts:1-3"],["file","package.json"],["file","app/pages/index.vue:1-46"],["file",".env.example:1-2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"botp-junior-nextjs-storefront","pid":"BOTP-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"turnstile","secs":167,"k":"1033474b-6bb4-4329-9892-d2b9a163e6cc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":23,"picks":[["turnstile","p"]],"v":{"r":"The agent explicitly chose Cloudflare Turnstile (Managed mode) to protect unauthenticated endpoints (newsletter signup and checkout) and implemented both frontend widget integration and backend token verification using Cloudflare's siteverify endpoint.","c":1,"e":[["file","lib/turnstile.ts"],["file","components/turnstile.tsx"],["file","app/api/checkout/route.ts"],["file","app/api/newsletter/route.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"in-app-communication-senior-enterprise-care","pid":"COMM-CARE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stream","secs":469,"k":"10993762-8222-47e7-b7a7-e85646fc679d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":66,"picks":[["stream","p"],["daily","m"],["livekit","m"],["twilio","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Stream Chat and Stream Video to satisfy the requirement for private messaging, video calls, disabled recording, and real-time revocation across patient/clinician visits.","c":1,"e":[["file","requirements.txt:4"],["file","package.json:2-5"],["file","visits/stream.py:1-145"],["file","frontend/visit.js:1-178"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":294,"k":"109c3444-e8ca-4412-b72e-5700098d0c4e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The run evaluated Retell AI, Vapi, and Twilio ConversationRelay for the phone ticketing agent task. It chose Retell AI, implementing signed Retell custom function webhook endpoints, signature verification logic, and comprehensive Twilio Elastic SIP trunk routing instructions.","c":0.98,"e":[["file",".env.example:9-10"],["file","routes/voice.js:10-29"],["file","utils/retellSignature.js:3-11"],["file","README.md:26-53"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"ibm-contextforge","secs":683,"k":"10ca8736-2124-49d6-b684-f9a1195305de-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":82,"picks":[["ibm-contextforge","p"],["agentgateway","r"],["kong-mcp-gateway","r"]],"v":{"r":"The agent explicitly recommended, configured, and implemented IBM ContextForge (`ghcr.io/ibm/mcp-context-forge:1.0.0-RC-3`) as the MCP gateway solution, providing Kubernetes manifests, an OPA policy hook, a custom IncidentGuard plugin, and a virtual-server bootstrap script.","c":1,"e":[["file","platform/mcp/k8s/primary.yaml:19"],["file","platform/mcp/bootstrap.mjs:6"],["file","docs/incident-mcp.md:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ibm-contextforge"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"esign-senior-enterprise-plyward","pid":"SIGN-PLYWARD-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":437,"k":"11122cad-796d-4611-a049-a5d0b85d06bd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":48,"picks":[["docusign","p"],["adobe-acrobat-sign","a"],["dropbox-sign","a"],["pandadoc","a"]],"v":{"r":"The agent initially recommended DocuSign, compared alternatives including Dropbox Sign, PandaDoc, and Adobe Acrobat Sign upon user request, and then fully implemented DocuSign eSignature in the codebase with JWT authentication, webhook HMAC verification, and S3 PDF archiving.","c":1,"e":[["file","apps/api/src/carriers/docusign.service.ts"],["file","README.md"],["file","infra/lib/api-stack.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":440,"k":"111de29a-f4df-4097-826f-4a35c0e51902-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":85,"picks":[["google-document-ai","p"],["azure-document-intelligence","a"],["amazon-textract","r"],["openai-models","r"],["tesseract","r"]],"v":{"r":"The agent evaluated several document extraction and OCR solutions (Google Document AI, Azure Document Intelligence, Amazon Textract, OpenAI Vision models, Tesseract OCR, and PaddleOCR), selected Google Document AI Custom Extractor as its choice, installed the official Google Cloud Document AI PHP SDK, created configuration files, and implemented a complete pipeline with background processing jobs and verification API routes.","c":1,"e":[["file","composer.json:10"],["file","config/document_ai.php:1-14"],["file","app/Services/DocumentAiExtractor.php:1-78"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","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-sol","rep":1,"pick":"diy","secs":329,"k":"1146f8e9-1c60-4ae4-aa6e-7ec355129301-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["diy","p","d"],["redis-query-engine","r"]],"v":{"r":"The user asked for a solution to search inventory reservations and SKUs using their existing backend infrastructure. The agent evaluated whether a specialized search engine was needed, decided that structured prefix and ID queries could be served by hand-written secondary indexes on Redis sorted sets, and implemented that solution directly into the repository without adopting any third-party search product.","c":0.95,"e":[["file","services/inventory/src/lib/stock.ts"],["file","services/inventory/src/routes/reservations.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":1,"seam":"Open or context-fit search choice","theme":"Fits an existing data stack"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"search-enterprise-ts-commerce-datadog","pid":"SEARCH-8b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":202,"k":"116ef8cf-7f32-47ed-8091-8db99e892ec3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":29,"picks":[["diy","p","d"],["opensearch","r"]],"v":{"r":"The run evaluated dedicated search platforms (OpenSearch, Elasticsearch) and Redis Query Engine (Redis Search), but explicitly recommended and implemented a DIY secondary indexing solution using pre-existing Redis sorted set operations (zadd/zrange BYLEX/zrem) to fulfill the SKU and reservation search requirements.","c":0.95,"e":[["file","services/inventory/src/lib/stock.ts:60-106"],["file","services/inventory/src/routes/reservations.ts:24-49"],["file","README.md:46-70"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e1-cedarline","pid":"CDNY-E1-CEDARLINE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":857,"k":"1385fb93-7d47-4d50-95f0-fa1df35d3c43-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":178,"picks":[["temporal","p"],["aws-step-functions","r"],["langgraph","r"]],"v":{"r":"The agent evaluated several agent workflow and orchestration platforms (Temporal, LangGraph, AWS Step Functions, and custom job runners), ultimately committing to Temporal by adding the `temporalio` gem, defining `ClaimWorkflow` and activity classes, and adding a dedicated worker process.","c":0.95,"e":[["file","Gemfile:13"],["file","app/workflows/claim_workflow.rb:4"],["file","bin/claims-worker:5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"botp-vibe-sveltekit-indie","pid":"BOTP-04b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"turnstile","secs":201,"k":"1386b8fd-d9a7-4745-8518-99cd4b7de9f3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":30,"picks":[["turnstile","p"]],"v":{"r":"The agent selected and fully implemented Cloudflare Turnstile on the sign-in form, adding server-side validation against Cloudflare's siteverify API and documenting the required environment variables.","c":1,"e":[["file","src/lib/server/turnstile.ts"],["file","src/routes/login/+page.server.ts"],["file","src/routes/login/+page.svelte"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"perplexity-sonar","secs":407,"k":"13bd49ef-2281-4c96-9acd-cac5bd762eaa-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":62,"picks":[["perplexity-sonar","p"],["tavily","r"]],"v":{"r":"The agent evaluated Perplexity's search/agent API against a multi-step Tavily + LLM setup. It recommended and fully integrated Perplexity's fast agent search endpoint into the SvelteKit backend with revision locking and Markdown citation extraction.","c":0.95,"e":[["file",".env.example:4"],["file","README.md:20-27"],["file","src/lib/server/research.ts:24-40"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perplexity-sonar"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"botp-junior-laravel-helpdesk","pid":"BOTP-02b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"builtin","secs":141,"k":"13f5197b-0516-4ac9-9d77-f6006eff3cd0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":23,"picks":[["builtin","p","b"],["turnstile","r"]],"v":{"r":"The user requested bot protection on the unauthenticated endpoints of an API without a frontend. The agent initially suggested Cloudflare Turnstile but decided against integrating a CAPTCHA service because there was no client interface to render widgets and generate tokens. Instead, the agent committed to and implemented Laravel's built-in RateLimiter and throttling middleware.","c":0.95,"e":[["file","app/Providers/AppServiceProvider.php:23-40"],["file","routes/web.php:11"],["file","README.md:32-37"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e2-lumen","pid":"CDNY-E2-LUMEN-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":749,"k":"13ff1dff-1fd5-4cfd-b831-bb5b37b37a91-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":127,"picks":[["trigger-dev","p"],["vercel-ai-sdk","c"],["modal","m"],["openai-agents-sdk","m"],["langgraph","r"]],"v":{"r":"The agent selected Trigger.dev (v4 chat agent) as the durable execution backend for conversational turns, approvals, and session streaming, together with Vercel AI SDK for model providers, tool definitions, and frontend hooks. Alternatives such as LangGraph, Inngest, and Temporal were explicitly compared and rejected.","c":0.98,"e":[["file","package.json:14"],["file","trigger/chat.ts:1-73"],["file","trigger.config.ts:1-9"],["file","app/chat/actions.ts:1-49"],["file","package.json:11-15"],["file","lib/assistant/tools.ts:1-72"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev","vercel-ai-sdk"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"jobs-ops-rails-claims","pid":"JOBS-OPS-RAILS-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":256,"k":"148b9c6a-cea3-491f-9d06-0b2d07e76e7a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["diy","p","d"],["solid-queue","r"]],"v":{"r":"The agent evaluated adding a background queue solution and chose to write a hand-crafted PostgreSQL job queue system (using `FOR UPDATE SKIP LOCKED` leases, retry limits, and failure tracking) rather than adopting a third-party framework like Solid Queue. This DIY implementation sits directly on the pre-existing PostgreSQL database.","c":1,"e":[["file","app/models/claim_summary_job.rb:1-58"],["file","app/services/claim_summary_worker.rb:1-17"],["file","bin/claim-summary-worker:1-4"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Deployment-constrained production workers","jobq":"Custom PostgreSQL queue","jobrt":"Render background worker","theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-device-dispatch","pid":"VAGT-DEVICE-DISPATCH-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sherpa-onnx","secs":1093,"k":"14aff856-0a7d-43e5-9d69-8de8a5a0ff24-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":179,"picks":[["sherpa-onnx","p"],["diy","c","d"],["picovoice","r"],["livekit-agents","r"],["pipecat","m"],["vapi","m"]],"v":{"r":"The run evaluated on-device and cloud voice options to satisfy a strict 1-hour offline constraint for field technicians. It rejected cloud platforms and proprietary on-device SDKs requiring online license checks (Picovoice) in favor of sherpa-onnx for WebAssembly-based offline ASR/TTS. It implemented the complete integration with sherpa-onnx and custom Nuxt/IndexedDB conversation management.","c":0.95,"e":[["file","scripts/provision-voice.sh"],["file","utils/sherpaVoice.client.ts"],["file","README.md"],["trace","16"],["file","composables/useOfflineAgent.ts"],["file","utils/offlineJobs.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sherpa-onnx"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":4,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-04","pid":"EVAL-PB-04a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":148,"k":"15078ba4-f6a8-4ecb-bcbe-55aac52e5962-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":22,"picks":[["diy","p","d"]],"v":{"r":"The agent explicitly recommended and built an in-repo, offline synthetic test suite and scoring CLI (`evals/score.py`, `evals/cases.json`, and `docs/evaluations.md`) rather than adopting an external evaluation SaaS or library.","c":0.95,"e":[["file","evals/score.py"],["file","evals/cases.json"],["file","docs/evaluations.md"],["file","tests/test_evals.py"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"mcp-gateway-helpdesk","pid":"MCPG-HELPDESK-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mcpg","secs":503,"k":"152e7376-1fad-452a-a31c-359ab461a9bf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":100,"picks":[["mcpg","p"]],"v":{"r":"The agent evaluated multiple MCP gateway options (MCPG, Amazon Bedrock AgentCore Gateway, Docker MCP Gateway, IBM ContextForge) before committing to MCPG as a dedicated third-party self-hosted gateway. It created mcpg.yaml, added NPM scripts, wrote stdio server adapters, and validated the gateway isolation with end-to-end integration tests.","c":0.95,"e":[["file","mcpg.yaml:1-67"],["file","README.md:25-55"],["file","package.json:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mcpg"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-gateway","wave":2,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-aigw-prompt-b-04","pid":"AIGW-PB-04b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"portkey","secs":270,"k":"15a4a807-7b66-46db-b66e-640df791386e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":46,"picks":[["portkey","p"],["litellm","m"],["cloudflare-ai-gateway","r"]],"v":{"r":"The agent evaluated hosted AI gateway options and committed to Portkey, implementing draft generation against Portkey's chat completions endpoint with saved config IDs and fallback routing in src/ai.js, src/tickets.js, configuration files, documentation, and tests.","c":1,"e":[["file","src/ai.js:1-32"],["file","src/tickets.js:25-30"],["file",".env.example:9-11"],["file","README.md:25-45"],["file","test/ai.test.js:1-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":1,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"stor-junior-laravel-helpdesk","pid":"STOR-07a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":187,"k":"160e9709-5c0e-4734-8409-fabb1d703381-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":39,"picks":[["amazon-s3","p"]],"v":{"r":"The agent explicitly recommended Amazon S3, configured the Laravel S3 filesystem disk in config/filesystems.php, added AWS environment variables to .env.example, and installed league/flysystem-aws-s3-v3 to store private attachments.","c":1,"e":[["file","composer.json"],["file","config/filesystems.php"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-22","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-sol","rep":1,"pick":"redis-query-engine","secs":272,"k":"16308a51-eecf-4ac7-a333-147532219f73-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":40,"picks":[["redis-query-engine","p","b"],["elasticsearch","r"]],"v":{"r":"The user requested a recommendation and subsequent implementation for searching partial SKU and reservation references. The agent implemented Redis Search (Redis Query Engine) using FT.CREATE and FT.SEARCH over Redis hashes, integrating it directly with the existing Redis setup.","c":0.95,"e":[["file","services/inventory/src/lib/search.ts:20-56"],["file","README.md:49-60"],["trace","services/inventory/src/server.ts:19-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["redis-query-engine"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"panl-junior-rails-marketplace","pid":"PANL-03c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":437,"k":"16542d3b-2311-42d6-9cf6-868411baf9af-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":85,"picks":[["posthog","p"],["metabase","r"]],"v":{"r":"The agent explicitly recommended PostHog Cloud for product analytics and fully implemented it into the repository with the `posthog-ruby` gem, client service, layout snippet, event capture handlers, and documentation.","c":1,"e":[["file","Gemfile:26"],["file","config/initializers/posthog.rb:1-2"],["file","app/services/analytics.rb:1-30"],["file","app/views/layouts/application.html.erb:9-32"],["file","README.md:65-98"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"search-senior-go-fleet","pid":"SEARCH-9a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postgres-fts","secs":270,"k":"1662ca73-4ebe-43ae-94ef-6688f219b554-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":32,"picks":[["postgres-fts","p","b"]],"v":{"r":"The agent leveraged PostgreSQL's built-in `pg_trgm` extension on the pre-existing Cloud SQL PostgreSQL database, implementing trigram GIN indexes, similarity-based query ranking, and a search endpoint without adding any external services or dependencies.","c":1,"e":[["file","db/schema.sql:1"],["file","db/migrations/001_search.sql:1-10"],["file","db/queries/fleet.sql:4-32"],["file","internal/httpapi/search.go:19-69"],["file","README.md:30-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"iot-telemetry","variant":"base","family":"usage-based-billing-enterprise-grellan-e4","pid":"UBB-GRELLAN-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"m3ter","secs":356,"k":"16ca6350-1a3e-4756-a1f3-bcafd88caf93-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":56,"picks":[["m3ter","p"],["lago","m"],["metronome","a"],["orb","a"]],"v":{"r":"The agent evaluated several usage-based billing vendors (m3ter, Orb, Metronome, Lago, Stripe) against the project requirements for annual commitments and monthly drawdowns. It recommended m3ter in turn 13 and then implemented `internal/m3ter/client.go`, `cmd/billing/main.go`, and updated `docs/customer-billing.md` to format and transmit measurements to m3ter.","c":0.98,"e":[["file","internal/m3ter/client.go:1-124"],["file","cmd/billing/main.go:58-69"],["file","docs/customer-billing.md:53-132"],["trace","seq:13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["m3ter"],"sk":0,"theme":"Procurement and compliance"},{"cat":"sandboxes","wave":1,"date":"2026-09-22","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-enterprise-fleet","pid":"SBX-MANAGED-ENTERPRISE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"daytona","secs":897,"k":"1715df2c-e28b-4953-a562-8918225d3730-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":130,"picks":[["daytona","p"],["e2b","r"],["modal","r"],["docker","m"]],"v":{"r":"The agent evaluated Daytona, Modal, and E2B against fleet sandbox requirements, explicitly chose Daytona Cloud, installed `@daytona/sdk`, and implemented sandbox lifecycle management in `src/runner.ts` and `daytona.config.json`.","c":1,"e":[["file","package.json"],["file","daytona.config.json"],["file","src/runner.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona"],"sk":0,"seam":"Generated UI project builds","theme":"Self-hosting, privacy or residency"},{"cat":"perf-ci","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"k6","secs":220,"k":"173c773e-9ef6-4149-9cac-39465126aae3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":24,"picks":[["k6","p"],["pytest-benchmark","m"],["locust","r"]],"v":{"r":"The run selected and configured Grafana k6 to run HTTP performance benchmarks against the application in CI, adding a k6 test script, a runner/comparison harness, and GitHub Actions workflow steps.","c":1,"e":[["file",".github/workflows/ci.yml:48"],["file","perf/summary.js:1"],["file","perf/run.sh:42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"veryfi","secs":408,"k":"17bae70c-9380-461c-9297-7f45e869dcef-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":86,"picks":[["veryfi","p"],["google-gemini","m"],["klippa","m"],["nanonets","m"],["taggun","m"],["amazon-textract","a"],["mindee","a"],["openai-models","r"]],"v":{"r":"The agent evaluated multiple document-processing vendors (Amazon Textract, Mindee, Google Document AI, Azure Document Intelligence, OpenAI vision models, and Veryfi). Following user requests to recommend and wire up a single solution, the agent selected Veryfi and fully implemented `VeryfiReader` in `app/receipts/veryfi.py`, setting it as `default_reader` in `app/receipts/read.py` with accompanying tests and configuration.","c":0.98,"e":[["file","app/receipts/veryfi.py:1-179"],["file","app/receipts/read.py:32"],["file",".env.example:5-6"],["file","README.md:33-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["veryfi"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"evals","wave":6,"date":"2026-09-22","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-sol","rep":1,"pick":"diy","secs":280,"k":"17ce921b-c0af-4771-8efa-04aebc6b2173-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":24,"picks":[["diy","p","d"],["openai-evals","r"]],"v":{"r":"The agent explicitly evaluated using OpenAI Evals but rejected it due to upcoming platform deprecation and suitability for custom arithmetic checks. Instead, it authored a custom, in-repo fixture and grading evaluation harness running across GitHub Actions and Jest.","c":0.95,"e":[["file","evals/fixtures.ts"],["file","evals/grade.ts"],["file","evals/check.ts"],["file","evals/collect.ts"],["file",".github/workflows/evals.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"OpenAI","sk":1,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":259,"k":"188403a5-16a1-4a7a-98b3-c9d9c0e62ff1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":45,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The agent evaluated multiple voice agent platforms (Retell AI, Vapi, Bland AI, Twilio ConversationRelay, OpenAI Realtime API) and committed fully to Retell AI. It implemented Retell webhook handling, signature verification, custom function calling routes for live availability and staged bookings, call handoff recording, and setup documentation.","c":0.95,"e":[["file","app/phone-assistant.server.ts:1-48"],["file","app/routes/api.retell.ts:1-70"],["file","app/routes/api.retell-webhook.ts:1-19"],["file","docs/phone-assistant.md:1-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"esign-senior-enterprise-sablecrest","pid":"SIGN-SABLECREST-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":654,"k":"18b2961a-7d89-4846-9612-3068f72f8bf8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":73,"picks":[["docusign","p"],["signwell","m"],["adobe-acrobat-sign","a"],["dropbox-sign","a"]],"v":{"r":"The agent evaluated several e-signature vendors and fully implemented DocuSign embedded signing and DocuSign Connect webhooks to gate supplier and assessment approvals on signed, archived DPAs.","c":1,"e":[["file","lib/dpa/docusign.ts:1-121"],["file","app/api/webhooks/docusign/route.ts:1-56"],["file",".env.example:34-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"you-com","secs":315,"k":"1952305d-c909-43dc-abee-fe5a37f5fea4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":44,"picks":[["you-com","p"],["brave-search","m"],["google-cse","m"],["serpapi","m"],["tavily","m"],["exa","r"]],"v":{"r":"The agent evaluated search providers against the requirement of finding classroom lesson material with excerpts, explicitly selected You.com Web Search API, and fully integrated it into the Django application with asynchronous Celery execution and HTMX frontend polling.","c":1,"e":[["file","apps/courses/web_search.py:8-30"],["file","docs/lesson-web-search.md:3-8"],["file","brightloom/settings.py:152"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["you-com"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"communication-v1","family":"in-app-communication-senior-small-team-dispatch","pid":"COMM-DISPATCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":536,"k":"198e88e5-27dc-44c3-83c9-b9c376a050f6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":77,"picks":[["livekit","p"],["stream","p"]],"v":{"r":"The agent integrated both Stream Chat and LiveKit Cloud into the application to handle job messaging and in-app voice calling respectively, installing their SDKs, configuring server endpoints, database generation tracking, and frontend components.","c":1,"e":[["file","package.json"],["file","components/JobComms.vue"],["file","server/utils/commsProviders.ts"],["file","server/utils/jobCalls.ts"],["file","server/api/livekit/webhook.post.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit","stream"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-stor-prompt-c-03","pid":"STOR-PC-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":224,"k":"19a1775e-f241-4e5c-8fa7-0d071e781c72-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":45,"picks":[["amazon-s3","p"]],"v":{"r":"The user requested a managed object storage solution with signed download URLs. 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Bicep infrastructure, C# message publishing, session-aware subscription processing workers, and regression tests were completely implemented and committed.","c":1,"e":[["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"],["file","infra/modules/stock-messaging.bicep"],["file","src/Stonebridge.Stock.Api/Events/StockEventPublisher.cs"],["trace","156"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openmeter","secs":449,"k":"1aee3144-9c8b-4b2b-b6d0-2fca65eb58b2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["openmeter","p"],["lago","m"]],"v":{"r":"The agent explicitly recommended OpenMeter to handle metering, rating, and invoice generation, and implemented OpenMeter integration via CloudEvent batch delivery and meter definition configurations.","c":1,"e":[["file","internal/meter/openmeter.go:1-59"],["file","deploy/openmeter-meters.yaml:1-11"],["file","cmd/proxy/main.go:26-36"],["file","docs/billing-rollout.md:36-79"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openmeter"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"in-app-communication","wave":3,"date":"2026-09-22","repo":"sveltekit-tutorhub","variant":"communication-v1","family":"in-app-communication-junior-small-team-lessons","pid":"COMM-LESSONS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"daily","secs":335,"k":"1b24fc9f-490d-41e9-b915-a7d563a6aed3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":54,"picks":[["daily","p"],["livekit","a"]],"v":{"r":"The agent evaluated video calling SDKs and committed to Daily (Daily Prebuilt via `@daily-co/daily-js` and Daily's REST API), fully implementing room creation, meeting token generation with screen sharing permissions, and the front-end embedded call component.","c":1,"e":[["file","package.json"],["file","src/lib/server/daily.ts"],["file","src/routes/lessons/[id]/+page.svelte"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sentry-seer","secs":94,"k":"1b3374e0-ccef-4aa4-b1f5-28b9c70e3ae6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":18,"picks":[["sentry-seer","p"],["resolve-ai","m"]],"v":{"r":"The agent evaluated the existing repository, identified that Sentry is already integrated for Rails and Sidekiq errors, selected Sentry Seer to provide automated root-cause analysis and pull request generation, and updated `docs/monitoring.md` with complete Seer setup and verification instructions.","c":1,"e":[["file","docs/monitoring.md:5-21"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":2,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"voice-narration-quality","pid":"VOICE-TTS-NARRATION-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"elevenlabs","secs":263,"k":"1b88dd69-5a11-4167-8a2e-cf8d95fce309-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["elevenlabs","p"],["azure-speech-batch-synthesis","r"],["google","r"],["amazon","m"],["azure","m"]],"v":{"r":"The agent evaluated several TTS alternatives against the requirements for natural long-form narration in English and French. It recommended ElevenLabs Multilingual v2, received approval from the user, and implemented the full offline generation pipeline with Celery, Django models, admin actions, and private GCS signed-URL distribution.","c":1,"e":[["file","apps/courses/narration.py:10-53"],["file","brightloom/settings.py:164-168"],["file","docs/narration.md:1-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs"],"sk":0,"seam":"Hosted production narration","theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"databases-senior-nestjs-stockroom","pid":"DB-6a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-database-postgresql-flexible-server","secs":243,"k":"1b8ccb04-cc92-4ade-9422-c5227b848559-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":27,"picks":[["azure-database-postgresql-flexible-server","p"],["postgres","m"]],"v":{"r":"The agent evaluated the project's 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JS (`@inlang/paraglide-js`), setting up configuration in `project.inlang/settings.json`, integrating the Vite plugin in `vite.config.ts`, generating message catalogues in `messages/`, and hooking locale handling into SvelteKit's `src/hooks.server.ts`.","c":1,"e":[["file","package.json"],["file","vite.config.ts"],["file","project.inlang/settings.json"],["file","src/hooks.server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sqlite-vec","secs":508,"k":"1ce4509f-d15e-487d-8c38-a0fd149f070c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":59,"picks":[["sqlite-vec","p"],["pgvector","r"]],"v":{"r":"The agent explicitly recommended and implemented vector search using sqlite-vec 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team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":561,"k":"1e9e02db-72ef-454d-985c-f599c26e8f9c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":85,"picks":[["livekit-agents","p"],["amazon-connect","m"],["cognigy","m"],["polyai","m"],["vapi","m"]],"v":{"r":"The agent evaluated several voice agent tools and selected LiveKit Agents, implementing a Python worker under `src/Meridian.VoiceAgent` with `livekit-agents` as the core dependency, along with confirmation handling, warm transfers, and EU region guards.","c":1,"e":[["file","src/Meridian.VoiceAgent/requirements.txt:1"],["file","src/Meridian.VoiceAgent/agent.py:6-8"],["file","docs/voice-agent.md:1-89"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"tesseract","secs":460,"k":"1f10bbca-4971-4e14-a828-e77163055cb0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":105,"picks":[["tesseract","p"],["ocrmypdf","m"],["docling","r"],["paddleocr","r"]],"v":{"r":"The agent explicitly recommended and configured Tesseract OCR (version 5.5.3 with French language pack) executed via OCRmyPDF in a dedicated Python worker container to satisfy strict in-zone hosting constraints.","c":0.95,"e":[["file","docs/extraction-pieces.md"],["file","worker/Dockerfile"],["file","worker/extract.py"],["trace","17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tesseract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"nextjs-studioroster","variant":"base","family":"bc-dply-prompt-b-62","pid":"DPLY-PB-62g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":165,"k":"1fd263aa-abb0-462a-aae5-ee9532804f12-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":25,"picks":[["render","p"],["vercel","r"]],"v":{"r":"The agent explicitly chose Render to host the application, generating a `render.yaml` blueprint configuration and updating `README.md` with instructions to connect the repository and deploy to Render.","c":1,"e":[["file","render.yaml:1-13"],["file","README.md:30-45"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"evals","wave":5,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-c-05","pid":"EVAL-PC-05a","pf":"Senior 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coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postgres-fts","secs":202,"k":"1ffed75c-823c-4d2f-a2dc-a105514e3bea-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["postgres-fts","p","b"]],"v":{"r":"The run adopted Postgres's built-in fuzzy/full-text search capabilities via the pg_trgm extension on the project's existing Supabase Postgres database. Because it uses capabilities of the pre-existing database with no new third-party service or subscription, the outcome is classified as builtin.","c":1,"e":[["file","supabase/migrations/0003_class_search.sql:1-53"],["file","README.md:21-25"],["file","app/page.tsx:43-58"],["trace","36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"dply-g-nextjs-donorbook","pid":"DPLY-61g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"railway","secs":318,"k":"202348ef-735d-4f05-b3a4-459551103117-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":54,"picks":[["railway","p"],["vercel","r"]],"v":{"r":"The agent explicitly chose Railway over Vercel, installed the railway npm package, committed a `.railway/railway.ts` Infrastructure-as-Code file configured with build/start/preDeploy commands and health check route, and updated the README with deployment instructions.","c":1,"e":[["file",".railway/railway.ts"],["file","package.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["railway"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-22","repo":"fleet-inspection-intake","variant":"base","family":"bc-clde-prompt-b-03","pid":"CLDE-PB-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":284,"k":"20412491-4ac6-4420-8789-fb605a57c36d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":41,"picks":[["aws","p"],["cloudflare","r"]],"v":{"r":"The user requested an object storage, queue, and worker recommendation with cost estimates. The agent analyzed AWS and Cloudflare R2/Queues, explicitly recommending AWS (S3, SQS, Lambda) for architectural cohesion with Go. Upon user approval, the agent implemented the AWS adapters, thumbnail worker, tests, and CloudFormation deployment template.","c":1,"e":[["file","deploy/photos.yaml:1-129"],["file","inspection/awsphoto/adapters.go:1-93"],["file","cmd/thumbnail-worker/main.go:1-46"],["file","go.mod:6-12"],["file","README.md:1-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","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-sol","rep":1,"pick":"livekit-agents","secs":734,"k":"20550a46-5ba0-48cc-a65c-572300161c4f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":78,"picks":[["livekit-agents","p"],["pipecat","m"],["vapi","m"]],"v":{"r":"The agent explicitly recommended LiveKit Agents, installed the `livekit-agents` Python SDK, and implemented the full voice agent worker with session handling, tool calls, and SIP transfers.","c":1,"e":[["file","voice_agent/requirements.txt"],["file","voice_agent/agent.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"esign-senior-loventis","pid":"SIGN-LOVENTIS-01h","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"dropbox-sign","secs":536,"k":"20985ba1-b638-4fe7-bd16-2c66e3cffcae-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":69,"picks":[["dropbox-sign","p"],["pandadoc","a"],["diy","r","d"],["docusign","r"]],"v":{"r":"The agent evaluated several options (custom implementation, DocuSign, PandaDoc, Dropbox Sign) and committed fully to Dropbox Sign, writing the client integration, database schema, webhook handlers, and test suite.","c":1,"e":[["file","app/dropbox_sign.py:1-79"],["file","app/routers/signing.py:1-330"],["file","README.md:46-86"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dropbox-sign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maplibre","secs":1013,"k":"209f350a-8f43-4e6a-ae99-801d012e0dc1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":146,"picks":[["maplibre","p"],["ferrostar","m"],["openstreetmap","m"],["osrm","m"],["valhalla","m"],["google-maps","r"],["graphhopper","r"],["here","r"],["mapbox","r"],["brouter","m"],["mapsforge","m"]],"v":{"r":"The run chose MapLibre (MapLibre Android SDK) as its primary mapping engine to display offline service-area maps from local PMTiles files, plot assigned work orders, and draw route polylines. Offline routing and navigation are orchestrated using Valhalla and Ferrostar, while hosted mapping services (Mapbox, Google Maps, HERE) and alternative engines (GraphHopper) were rejected due to offline operation and device privacy requirements.","c":0.95,"e":[["file","app/build.gradle.kts:108"],["file","app/src/main/java/com/tollanwater/fieldmeter/ui/map/OrdersMapScreen.kt:47-59"],["file","gradle/libs.versions.toml:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"autocannon","secs":397,"k":"20c1f749-ab4e-4ec5-b6c9-271601a72353-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":29,"picks":[["autocannon","p"],["k6","a"]],"v":{"r":"The agent explicitly chose Autocannon as the performance benchmarking tool, installed it in package.json, implemented a custom benchmarking script (scripts/perf/schedule.mjs) utilizing the Autocannon programmatic API, and set up a GitHub Actions workflow to gate PRs on response latency regressions.","c":1,"e":[["file","package.json"],["file","scripts/perf/schedule.mjs"],["file",".github/workflows/performance.yml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["autocannon"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"panl-vibe-nextjs-classbooking","pid":"PANL-10c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":262,"k":"20f93b69-7610-40a5-81d5-f08b88ad5dbf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":43,"picks":[["posthog","p"],["metabase","r"],["vercel-analytics","r"]],"v":{"r":"The agent evaluated analytics options (PostHog vs. Vercel Analytics + Metabase) and strongly recommended and implemented PostHog using posthog-js and posthog-node for tracking pageviews and booking actions, complete with instructions for team dashboard configuration.","c":1,"e":[["file","package.json"],["file","instrumentation-client.ts"],["file","lib/analytics.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-maps","secs":329,"k":"20fa3438-fb1d-4cf8-8500-f5d690863e63-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":59,"picks":[["azure-maps","p"],["google-maps","m"],["mapbox","m"]],"v":{"r":"The agent selected, implemented, and fully wired Azure Maps (both client-side Web SDK and server-side geocoding API) to satisfy the mapping requirement for the ASP.NET Core application.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/AzureMapsGeocoder.cs"],["file","src/BrackenRidge.FieldOps/wwwroot/index.html"],["file","src/BrackenRidge.FieldOps/wwwroot/map.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-maps"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e1-maplemarket","pid":"CDNY-E1-MAPLEMARKET-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":1387,"k":"21601cc9-dafa-4b1c-afd5-dc1e017f5697-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":227,"picks":[["temporal","p"],["modal","m"],["hatchet","a"],["langgraph","r"]],"v":{"r":"The agent evaluated workflow orchestrators and selected Temporal (using the temporalio Ruby gem) to orchestrate order workflows, human-in-the-loop approvals via signals, activities, and worker deployment versioning. It fully implemented Temporal workflows and worker tasks in the codebase.","c":0.98,"e":[["file","Gemfile:26"],["file","app/services/order_flow/workflow.rb:1-78"],["file","lib/tasks/orders.rake:1-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-maps","secs":278,"k":"218c0e87-b296-463b-ac8c-7d476daf6835-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["azure-maps","p"],["google-maps","m"],["maplibre","m"],["nominatim","m"]],"v":{"r":"The agent explicitly recommended, installed, and fully implemented Azure Maps Web SDK v3 on the frontend (`schedule-map.html`, `schedule-map.js`) and Azure Maps Geocoding API on the backend (`AzureMapsGeocoder.cs`), backed 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fulfill incident investigation and automated code-fix generation, integrating them with existing Datadog monitors, SLO history APIs, and GitHub Actions PR audit gates.","c":0.95,"e":[["file","docs/ai-sre.md:3"],["file","ops/monitoring/main.tf:14"],["file","ops/monitoring/README.md:7"],["file","ops/ai-sre/bits.md:1"],["file","docs/ai-sre.md:3"],["file",".github/pull_request_template.md:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-bits-investigation"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e2-sablecrest","pid":"CDNY-E2-SABLECREST-ak","pf":"Vibe 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LangGraph, OpenAI Agents SDK, Restate, and DBOS Transact were evaluated and compared during the deliberation.","c":0.95,"e":[["file","requirements.txt:10"],["file","apps/assistant/runtime.py:13-14"],["file","apps/assistant/runtime.py:84-142"],["file","requirements.txt:12"],["file","apps/assistant/sandbox.py:10-27"],["file","deploy/assistant-worker.yaml:41-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal","pydantic-ai","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":225,"k":"2220f027-41d4-49fe-8e1a-07a7d8252b44-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":43,"picks":[["exa","p"],["brave-search","m"],["serpapi","m"],["tavily","a"]],"v":{"r":"The agent evaluated multiple AI search and web search providers (Exa, Tavily, Linkup, Brave Search, SerpApi, Azure Bing Grounding) and explicitly chose Exa for its highlights capability. It fully implemented Exa search queries against `https://api.exa.ai/search` in `app/Services/TicketPassageSearch.php` and configured `EXA_API_KEY`.","c":1,"e":[["file","app/Services/TicketPassageSearch.php:57-65"],["file","config/services.php:29-31"],["file",".env.example:22"],["file","README.md:32-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"python-gpuinference","variant":"base","family":"usage-based-billing-senior-pyrran-e4","pid":"UBB-PYRRAN-04c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":386,"k":"22a81f2d-a181-45d8-bf2b-843df3648675-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":84,"picks":[["metronome","p"],["diy","c","d"],["orb","r"]],"v":{"r":"The run evaluated usage-based billing providers and selected Metronome to manage pricing rate cards, annual commits, customer balances, and invoice rating. In accordance with the split-implementation rule, Metronome is the primary pick while the repository's hand-written transactional outbox and durable metering intake pipeline is co-primary.","c":0.95,"e":[["file","app/metronome.py:1-112"],["file","app/routes/usage.py:27-56"],["file","app/provision.py:1-63"],["file","docs/metronome.md:1-106"],["file","app/metering.py:1-32"],["file","app/recorder.py:1-78"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-payments-prompt-c-07","pid":"PAY-PC-07b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":231,"k":"22b2ae9b-0435-4402-be79-e774707decdd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["stripe","p"],["paddle","m"]],"v":{"r":"The agent evaluated payment solutions and committed to Stripe by installing the `stripe` npm library, implementing full Checkout, Customer Portal, webhook handling, and invoice reconciliation logic in `server/payment/stripe-billing.js`, and writing automated integration tests against Stripe's API surface.","c":1,"e":[["file","package.json:10"],["file","server/payment/stripe-billing.js:6-137"],["file","server/payment/config.js:1-15"],["file","README.md:3-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e4-ferngate","pid":"CDNY-E4-FERNGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":729,"k":"22b69033-dbbf-4e94-88e7-356c5d7e26d8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":98,"picks":[["langgraph","p"],["langchain","c"],["openai-agents-sdk","r"],["deep-agents","m"]],"v":{"r":"The agent compared LangGraph/LangChain, Temporal, OpenAI Agents SDK, and a custom DIY loop. It committed to LangGraph and LangChain, implementing the agent runtime using LangChain's `create_agent` and middleware alongside LangGraph's `PostgresSaver` and `Command` resume mechanisms.","c":0.95,"e":[["file","requirements.txt:10"],["file","apps/agent/tasks.py:13-14"],["file","requirements.txt:7"],["file","apps/agent/graph.py:8-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langchain","langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"event-registry","secs":595,"k":"235319cb-a25f-4249-953d-64701f52453c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":65,"picks":[["event-registry","p"],["gdelt","r"],["newsapi","r"],["newscatcher","r"]],"v":{"r":"The agent evaluated several news search and monitoring providers (NewsAPI.ai / Event Registry, NewsCatcher, NewsAPI.org, GDELT) and recommended and fully implemented NewsAPI.ai / Event Registry via its minuteStreamArticles API endpoint in a scheduled ECS Fargate worker task with DynamoDB storage and Next.js / NestJS integration.","c":1,"e":[["file","apps/api/src/news/worker.ts:167-183"],["file","README.md:45-58"],["file","infra/lib/api-stack.ts:60-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["event-registry"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"perf-ent-senior","pid":"PERF-3a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":164,"k":"236b0f9a-a0c2-4d80-b011-3e2d9d6b1bf2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["diy","p","d"]],"v":{"r":"The agent built a completely in-house performance regression gate using custom PHP timing and query-count assertions on top of the pre-existing PHPUnit and GitLab CI setup, without introducing any third-party performance CI tooling.","c":0.95,"e":[["file","tests/Performance/PerformanceBudget.php:5-26"],["file","tests/Performance/DashboardPerformanceTest.php:1-88"],["file","tests/Performance/verify-gate.php:1-33"],["file",".gitlab-ci.yml:49-60"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-auth-prompt-c-11","pid":"AUTH-PC-11a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":310,"k":"239bf179-72d7-477c-8aab-e8edb7208bc1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["workos-authkit","p"],["supabase-auth","m"],["clerk","a"],["auth0","r"]],"v":{"r":"The agent explicitly recommended, installed `@workos-inc/node`, and integrated WorkOS AuthKit hosted authentication to satisfy the requirement for support team auth with MFA, password reset, and social sign-in.","c":1,"e":[["file","package.json:1"],["file","src/auth.js:1-163"],["file","README.md:25-86"],["file",".env.example:6-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":313,"k":"23f035d1-d762-4e74-8e01-d9e2d50f3fff-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":54,"picks":[["vapi","p"],["retell-ai","m"]],"v":{"r":"The agent explicitly recommended Vapi to satisfy the requirement for a zero-server-maintenance phone assistant with interruption handling and warm transfers. It implemented the Vapi webhook tool endpoints in Next.js (`/api/voice/tools`), updated environment configurations, created database functions for atomic bookings and OTP verification, and documented the end-to-end setup in `VOICE_SETUP.md`.","c":1,"e":[["file","VOICE_SETUP.md"],["file","app/api/voice/tools/route.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-22","repo":"spring-utility-billing","variant":"base","family":"cadenya-e2-dunmarrow","pid":"CDNY-E2-DUNMARROW-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":1420,"k":"23ffd7af-ae5c-4f95-9092-4280d5e159ae-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":125,"picks":[["temporal","p"],["langgraph","r"],["spring-ai","r"],["openai-agents-sdk","m"]],"v":{"r":"The agent evaluated several options including LangGraph, Spring AI, OpenAI Agents API, and a DIY Postgres engine, before committing to Temporal Java SDK (1.39.0) as the durable execution runtime for agent workflows, paired directly with the OpenAI Java SDK for model invocation.","c":0.95,"e":[["file","pom.xml"],["file","src/main/java/com/dunmarrow/billing/assistant/AssistantWorker.java"],["file","src/main/java/com/dunmarrow/billing/assistant/AssistantWorkflow.java"],["trace","21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-22","repo":"delivery-proof-service","variant":"base","family":"bc-clde-prompt-b-02","pid":"CLDE-PB-02b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":242,"k":"241e3ae5-c308-4e0d-a531-40cb11854972-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":27,"picks":[["aws","p"],["cloudflare","r"]],"v":{"r":"The user requested an object storage and queue solution for photo uploads and thumbnail generation. The agent evaluated Cloudflare (R2/Queues) and AWS (S3/SQS/Lambda), ultimately recommending and implementing AWS with an AWS SAM template, AWS SDK S3 client integration, and SQS-triggered thumbnail worker.","c":1,"e":[["file","infra/template.yaml:1-127"],["file","package.json:1"],["file","src/s3-proof-store.js:1-25"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"panl-junior-b2b-subscriptions","pid":"PANL-04c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":258,"k":"2557f8cc-76b4-4f97-9882-d56724f202a3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":48,"picks":[["posthog","p"],["mixpanel","m"]],"v":{"r":"The agent evaluated product analytics options and chose PostHog Cloud EU. It installed `posthog-node`, created an analytics integration layer capturing organization group events, documented team-editable dashboards and queries, and updated the API server.","c":1,"e":[["file","package.json:1"],["file","apps/api/src/analytics.js:1-51"],["file","analytics/README.md:1-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"ban-adresse","secs":235,"k":"25683b1a-9ea5-488c-a00c-c9081f589c52-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":36,"picks":[["ban-adresse","p"],["diy","c","d"],["leaflet","r"],["google-maps","m"],["maplibre","m"]],"v":{"r":"The run adopted a split implementation: Base Adresse Nationale (via a self-hosted Addok server in the internal hosting environment) for address geocoding, combined with a custom-built, accessible inline SVG map and PHP distance computation to display the reception points. Under the split-implementation rule, the adopted product (Base Adresse Nationale) is primary and the DIY component is co-primary.","c":0.95,"e":[["file","docs/points-accueil.md:3-5"],["file","src/Service/GeocodageAdresse.php:1-76"],["trace","8"],["file","src/Service/PointsAccueil.php:1-35"],["file","templates/points_accueil/index.html.twig:42-58"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ban-adresse"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mapbox","secs":363,"k":"25a27c7c-b707-4e38-af66-facd96340f16-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["mapbox","p"]],"v":{"r":"The agent evaluated hosted map requirements and explicitly recommended and implemented Mapbox (via mapbox-gl and Mapbox Directions API). It installed mapbox-gl in the web application and configured Mapbox token and style variables.","c":1,"e":[["file","README.md"],["file","apps/web/app/shipments/map-view.tsx"],["trace","10"],["trace","24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"search-scale-junior-laravel-c","pid":"SEARCH-SCALE-JUNIOR-LARAVEL-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"meilisearch","secs":163,"k":"25b6738c-72a0-417d-978c-7a5ef48028b1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":31,"picks":[["meilisearch","p"],["algolia","m"],["typesense","m"]],"v":{"r":"The agent explicitly recommended Meilisearch with Laravel Scout, installed the Meilisearch PHP client, configured Scout settings for Meilisearch in config/scout.php and .env.example, updated the ticket controller search logic, and documented Meilisearch deployment instructions.","c":1,"e":[["file","composer.json"],["file","config/scout.php"],["file","app/Http/Controllers/TicketController.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["meilisearch"],"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-22","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apache-kafka","secs":812,"k":"26245a35-2be5-4169-bbdc-dd28dd7c203b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":139,"picks":[["apache-kafka","p"],["apache-pulsar","r"],["confluent","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["redpanda","r"],["google-managed-kafka","m"]],"v":{"r":"The agent evaluated several event streaming and message queue technologies (Apache Kafka, Redpanda, NATS JetStream, RabbitMQ Streams, Apache Pulsar, Redis Streams, and Confluent Cloud) and selected Apache Kafka deployed via Strimzi on Kubernetes. The agent fully implemented Kafka integration using segmentio/kafka-go, added Kafka/Strimzi/Debezium Kubernetes manifests, updated all services to consume from partitioned Kafka topics, and created timestamp-based replay and outbox management tools.","c":1,"e":[["file","go.mod:7"],["file","deploy/k8s/kafka/cluster.yaml:16-43"],["file","internal/eventlog/kafka.go:1-246"],["file","deploy/k8s/kafka/topics.yaml:1-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-payments-prompt-b-02","pid":"PAY-PB-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":438,"k":"2699055e-f0b6-414c-84b1-b99c42f0daf3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["stripe","p"]],"v":{"r":"The agent proposed Stripe Checkout in test mode, and then fully implemented Stripe API gateway calls, signed webhook verification, database persistence, and reconciliation logic.","c":1,"e":[["file","src/Northmere.Billing.Api/Services/StripeGateway.cs:1-59"],["file","src/Northmere.Billing.Api/Services/StripeWebhookSignature.cs:1-36"],["file","src/Northmere.Billing.Api/Program.cs:24-118"],["file","docs/runbook.md:27-90"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"Procurement and compliance"},{"cat":"voice-agents","wave":6,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":381,"k":"26bf9b28-8955-439d-9b48-5e35c5bd55ad-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":54,"picks":[["retell-ai","p"],["vapi","a"]],"v":{"r":"The user requested a comparison of phone voice assistants (specifically inquiring about Smallest.ai and ElevenLabs) and an implementation upon approval. The agent compared Retell AI, ElevenLabs, Smallest.ai, and Vapi, recommended Retell AI, and upon confirmation implemented Retell AI custom webhook tools, verification logic, and comprehensive agent configuration documentation.","c":1,"e":[["file","app/api/retell/tools/route.ts:1-176"],["file","docs/retell.md:1-109"],["file",".env.example:11-13"],["file","lib/voice.ts:11-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"expo-foodtrucks","variant":"base","family":"maps-junior-brindle","pid":"MAPS-BRINDLE-01d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"react-native-maps","secs":201,"k":"26d7eef1-1e06-430a-a4b4-4034ccd87ddc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":35,"picks":[["react-native-maps","p"],["expo-maps","r"],["mapbox","r"],["google-maps","m"]],"v":{"r":"The agent evaluated map solutions for the Expo SDK 55 React Native codebase and chose react-native-maps. It installed react-native-maps, added app.config.js configuration for the Android Google Maps key and location permissions, and implemented the map view in app/(tabs)/index.tsx with markers and tap-through navigation.","c":0.95,"e":[["file","package.json:31"],["file","app.config.js:5"],["file","app/(tabs)/index.tsx:5"],["file","README.md:19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["react-native-maps"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-maps","secs":279,"k":"26d92b2d-0510-4c4f-a276-a2d3bd89bb24-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["azure-maps","p"],["leaflet","m"],["maplibre","m"],["nominatim","r"]],"v":{"r":"The user requested a mapping solution to display scheduled field work orders across Sheffield based on street addresses. The agent recommended and implemented Azure Maps (Azure Maps Web SDK v3 and Azure Maps Geocoding REST API) integrated with DefaultAzureCredential/managed identity on ASP.NET Core.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/AzureMapsService.cs"],["file","src/BrackenRidge.FieldOps/wwwroot/schedule-map.html"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-maps"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-22","repo":"healthtech-ehr","variant":"base","family":"mail-enterprise-healthtech-ehr","pid":"MAIL-12a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-communication-services","secs":539,"k":"270f4ff1-abfb-4b5a-9523-bbf4bb9d07a5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":69,"picks":[["azure-communication-services","p"]],"v":{"r":"The agent explicitly recommended, configured, and integrated Azure Communication Services (ACS) Email. It provisioned ACS resources in Bicep, added the Java SDK dependency `com.azure:azure-communication-email`, built an outbox worker that calls `EmailClient.beginSend()`, and wired workload identity authentication.","c":1,"e":[["file","fhir-api/pom.xml"],["file","fhir-api/src/main/java/com/marrowe/fhir/email/EmailInfrastructure.java"],["file","fhir-api/src/main/java/com/marrowe/fhir/email/EncounterSummaryWorker.java"],["file","infra/bicep/modules/email.bicep"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-communication-services"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"i18n-vibe-perrin","pid":"I18N-PERRIN-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"i18next","secs":237,"k":"27234f12-d48e-4e65-904d-0b50d887cbdc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":30,"picks":[["i18next","p"]],"v":{"r":"The agent selected and fully implemented i18next with react-i18next and i18next-cli for UI localization, string extraction, and translation validation, while utilizing the browser's built-in Intl API for date and number formatting.","c":0.98,"e":[["file","package.json"],["file","i18next.config.js"],["file","src/i18n.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18next"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"panl-enterprise-ts-commerce-datadog","pid":"PANL-05c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"datadog","secs":217,"k":"273991f6-f239-4bba-a2d1-b50d799471c9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":31,"picks":[["datadog","p"],["amplitude","r"],["metabase","r"],["mixpanel","r"],["posthog","r"]],"v":{"r":"The agent evaluated several product analytics and dashboard solutions (PostHog, Mixpanel, Amplitude, Metabase) and recommended Datadog DogStatsD counts with Datadog Dashboards to leverage the existing stack and control ingestion costs. It implemented aggregated UDP outcome tracking in Fastify, configured the Datadog Helm chart, and authored a Datadog dashboard template JSON.","c":0.95,"e":[["file","platform/datadog/checkout-outcomes.json:1-82"],["file","platform/helm/datadog-values.yaml:18-21"],["file","docs/observability.md:52-89"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"ocr","wave":2,"date":"2026-09-22","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":237,"k":"2763609d-1c8d-4244-ad0d-946671a74cf2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["azure-document-intelligence","p"]],"v":{"r":"The agent explicitly recommended and implemented Azure AI Document Intelligence via `AzureDocumentExtractor.java` to handle clinical referral PDF extraction within regional residency boundaries.","c":1,"e":[["file","src/main/java/com/marrowe/referrals/AzureDocumentExtractor.java"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"payments-vibe-workshops","pid":"PAY-4a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":354,"k":"277916e0-b284-4f61-8a72-938b977dc640-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":59,"picks":[["stripe","p"]],"v":{"r":"The agent selected Stripe for collecting workshop payments, installed the `stripe` npm package, created Checkout session creation flows, built a webhook handler for session completion/expiration, and configured hold reconciliation.","c":1,"e":[["file","package.json:21"],["file","app/stripe.server.ts:1-20"],["file","app/routes/checkout.webhook.ts:1-29"],["file","app/routes/_index.tsx:24-41"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"auth-senior","pid":"AUTH-3b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":325,"k":"278d5534-38d6-42eb-b882-8fcb7eef0bfc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":31,"picks":[["auth0","p"],["workos-authkit","m"],["clerk","m"]],"v":{"r":"The agent selected and fully implemented an Auth0 integration using OIDC discovery and token verification with Go 1.22 compatible libraries, adding Auth0 configuration env variables, migrations for staff users and session handling, and documentation.","c":1,"e":[["file","README.md"],["file","internal/config/config.go"],["file","internal/auth/auth.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01d","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":181,"k":"2796c168-13be-4b5f-87cf-4d7fdd8c8630-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":27,"picks":[["google-maps","p"]],"v":{"r":"The agent evaluated and implemented Google Maps Platform using the Maps Embed API iframe and Google Maps directions links in a shared component (`app/studio-location.tsx`), documented the API key setup in `README.md`, and passed the API key via environment variables in the Remix route loaders.","c":1,"e":[["file","app/studio-location.tsx"],["file","README.md"],["file","app/routes/_index.tsx"],["file","app/routes/ticket.$bookingId.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"panl-senior-fastapi-saas","pid":"PANL-06c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metabase","secs":280,"k":"27b87233-f08f-4fd3-b0e9-85ea959ef531-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":34,"picks":[["metabase","p"],["amplitude","m"],["mixpanel","m"],["posthog","m"]],"v":{"r":"The run chose Metabase as the product analytics visualization layer querying the existing PostgreSQL warehouse. It provisioned Metabase deployment infrastructure using Terraform on ECS Fargate, set up dedicated PostgreSQL RDS for Metabase application state, and generated SQL models and saved-question definitions under analytics/metabase/.","c":1,"e":[["file","terraform/metabase/main.tf:1-260"],["file","analytics/metabase/README.md:1-76"],["file","README.md:41-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Fits an existing data stack"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-kinesis","secs":777,"k":"2884e1ee-bc50-46c0-bd62-08a986775730-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":156,"picks":[["amazon-kinesis","p"],["amazon-eventbridge","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","m"],["google-managed-kafka","m"],["redis","m"]],"v":{"r":"The agent explicitly recommended and implemented Amazon Kinesis Data Streams (with Enhanced Fan-Out and per-shard checkpointing) to decouple ingest from consumer workers. It configured Terraform infrastructure, Python ingest publishing, and worker stream runners, while explicitly rejecting SNS, SQS, MSK, and EventBridge.","c":1,"e":[["file","terraform/stream.tf:1-47"],["file","app/stream.py:33-66"],["file","consumers/stream.py:17-110"],["file","app/api/readings.py:56-62"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"mail-senior","pid":"MAIL-3b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-communication-services","secs":422,"k":"2894e83b-b83f-45c2-85df-a664dcaf5d20-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":42,"picks":[["azure-communication-services","p"],["postmark","r"],["smtp","m"]],"v":{"r":"The agent selected Azure Communication Services Email as the transactional email provider, installed the Azure.Communication.Email SDK, implemented the transactional outbox worker and Event Grid webhook delivery report handler, and configured everything to run against ACS Email.","c":0.95,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj"],["file","src/BrackenRidge.FieldOps/Services/AzureCompletionEmailSender.cs"],["file","src/BrackenRidge.FieldOps/Program.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-communication-services"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"in-app-communication","wave":2,"date":"2026-09-22","repo":"expo-connections","variant":"base","family":"in-app-communication-vibe-coder-matches","pid":"COMM-MATCHES-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stream","secs":551,"k":"28bc4e86-4ef9-4588-8e21-4dc4c54fa52e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":90,"picks":[["stream","p"]],"v":{"r":"The agent evaluated communication solutions and committed directly to Stream Video (Stream Chat and Video) by installing `@stream-io/video-react-native-sdk` and `@stream-io/node-sdk`, configuring WebRTC permissions in `app.json`, implementing call state handling and ringing UI in `App.tsx`, and implementing server-side call authentication and token generation in `server/video.mjs` and `server/app.mjs`.","c":1,"e":[["file","package.json"],["file","App.tsx"],["file","server/video.mjs"],["file","server/app.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"auth-choice-go-customer-ops","pid":"AUTH-NS-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"keycloak","secs":325,"k":"29347b4e-f5e2-426a-ab46-0118c8df9fee-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":34,"picks":[["keycloak","p"],["authentik","m"],["oauth2-proxy","m"],["zitadel","m"]],"v":{"r":"The user requested an authentication solution that supports password reset, MFA, and Google/GitHub sign-in under the constraint of not using an external SaaS. The agent recommended self-hosted Keycloak and implemented standard OpenID Connect (OIDC) client integration in Go connecting to a Keycloak realm.","c":0.98,"e":[["file","README.md:4-20"],["file",".env.example:3-7"],["file","internal/auth/auth.go:1-325"],["trace","seq 5"],["trace","seq 9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["keycloak"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-22","repo":"delivery-proof-service","variant":"base","family":"clde-senior-delivery-proof-service","pid":"CLDE-02b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":160,"k":"296f1065-133f-49e4-a896-4b5242e9fd96-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":27,"picks":[["aws","p"]],"v":{"r":"The agent selected AWS (Amazon S3 and Amazon SQS) to provide durable object storage and asynchronous queue processing, installed the official AWS SDK packages (@aws-sdk/client-s3, @aws-sdk/client-sqs), implemented the backend adapters and worker, and documented AWS deployment configuration in the README.","c":1,"e":[["file","package.json"],["file","src/aws-workflow.js"],["file","src/thumbnail-worker.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"model-vibe","pid":"MODEL-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai","secs":262,"k":"29749ff5-2c57-449e-bae7-ded5c65c0733-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":60,"picks":[["openai","p"]],"v":{"r":"The agent evaluated model options and implemented conversational search using OpenAI's Responses API with `gpt-6-luna`.","c":1,"e":[["file","lib/assistant/interpret.ts:24-38"],["file",".env.example:11-12"],["file","README.md:25-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":737,"k":"29852c9f-6e0d-4127-8dde-85ac43a144a2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":94,"picks":[["azure-document-intelligence","p"],["google-document-ai","a"],["ocrolus","a"],["veryfi","r"],["openai-models","m"]],"v":{"r":"The agent evaluated multiple document processing services (Google Document AI, Azure Document Intelligence, Amazon Textract, Ocrolus, Veryfi) and committed to Azure AI Document Intelligence by installing `azure-ai-documentintelligence`, writing the `AzureReader` client in `app/documents/azure.py`, wiring it into the pipeline readers, and updating database models and review workflows.","c":1,"e":[["file","requirements.txt:13"],["file","app/documents/azure.py:1-278"],["file","app/documents/readers.py:61-69"],["file","docs/azure-intake.md:1-64"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"github-copilot-code-review","secs":86,"k":"298fffda-1bfc-4cea-9d0b-2f9eca11909d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":18,"picks":[["github-copilot-code-review","p","b"],["coderabbit","m"],["qodo","m"]],"v":{"r":"The agent selected GitHub Copilot code review as the primary solution, added `.github/copilot-instructions.md`, documented activation steps via GitHub rulesets in `README.md`, and evaluated CodeRabbit and Qodo Merge in reasoning without adopting them.","c":1,"e":[["file",".github/copilot-instructions.md:1-12"],["file","README.md:26-37"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"bc-panl-prompt-b-03","pid":"PANL-PB-03c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":274,"k":"29902944-3b7b-4780-8b2c-2244b446bd21-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":48,"picks":[["posthog","p"],["amplitude","r"],["metabase","r"],["mixpanel","r"]],"v":{"r":"The user asked for a product analytics solution enabling self-serve funnels and editable dashboards without filing tickets. The run evaluated PostHog alongside Mixpanel, Amplitude, and Metabase, strongly recommended PostHog, and implemented server-side event tracking using the posthog-ruby gem with clear instructions in README.md.","c":0.98,"e":[["file","Gemfile:26-28"],["file","config/initializers/posthog.rb:1-7"],["file","app/services/analytics.rb:1-15"],["file","README.md:65-104"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-auth-prompt-c-10","pid":"AUTH-PC-10a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":278,"k":"29eda681-f159-4ff8-aec8-0a800cb0546c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["diy","p","d"],["arctic","m"],["oauth4webapi","m"],["google-identity","m"],["google-sign-in","m"],["openid-client","m"]],"v":{"r":"The agent inspected the existing SvelteKit project and recommended building an in-house Google OIDC authorization code flow with PKCE using `openid-client` on top of the project's pre-existing SQLite database and session management, rather than adopting a third-party auth service.","c":0.95,"e":[["file","src/lib/server/google.ts:1-90"],["file","src/routes/auth/google/+server.ts:1-18"],["file","src/routes/auth/google/callback/+server.ts:1-42"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"bc-auth-prompt-b-05","pid":"AUTH-PB-05a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":367,"k":"29f46535-aa08-4447-a83f-a82d13751545-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":91,"picks":[["workos-authkit","p"],["auth0","a"],["clerk","a"]],"v":{"r":"The agent evaluated third-party auth providers (WorkOS AuthKit, Auth0, Clerk), selected WorkOS AuthKit, and implemented full integration using workos/workos-php, session middleware, authentication controllers, database schema changes, and comprehensive tests.","c":1,"e":[["file","composer.json"],["file","app/Services/AuthKit.php"],["file","app/Http/Controllers/AuthController.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"esign-senior-loventis","pid":"SIGN-LOVENTIS-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"dropbox-sign","secs":441,"k":"2a083db7-c00b-45e6-b796-d7a141b7da6d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":66,"picks":[["dropbox-sign","p"],["adobe-acrobat-sign","r"],["diy","r","d"],["docusign","r"],["pandadoc","r"]],"v":{"r":"The user requested an e-signature solution to enable embedded signing, status transitions upon multi-party completion, and audit-trail document archival. The agent evaluated several options (Dropbox Sign, DocuSign, Adobe Acrobat Sign, PandaDoc, and building in-house), explicitly selected Dropbox Sign, and fully integrated its API and webhook endpoints into the codebase.","c":1,"e":[["file","app/signing.py:1-91"],["file","app/routers/signing.py:1-262"],["file",".env.example:14-18"],["file","README.md:32-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dropbox-sign"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"code-review-vibe-fjordnote","pid":"CR-FJORDNOTE-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"github-copilot-code-review","secs":95,"k":"2a4d8dc1-5bdb-4911-b82f-fe4dc22127fe-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":19,"picks":[["github-copilot-code-review","p","b"]],"v":{"r":"The agent recommended and configured GitHub Copilot code review, writing the project-specific review instructions file (`.github/copilot-instructions.md`) and detailing the repository ruleset configuration in `README.md`.","c":0.95,"e":[["file",".github/copilot-instructions.md:1-11"],["file","README.md:34-42"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-b-63","pid":"DPLY-PB-63g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":219,"k":"2a5bb8eb-c5f2-4b90-beba-df587c8de5ae-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["render","p"],["railway","a"],["cloudflare","m"]],"v":{"r":"The agent selected Render as the hosting and deployment platform, configuring a full `render.yaml` Blueprint for automated deploys from the `main` branch, pre-deploy database migrations, and health monitoring.","c":1,"e":[["file","render.yaml:1-21"],["file","README.md:24-48"],["trace","seq 10"],["trace","seq 36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"ai-sre","wave":2,"date":"2026-09-22","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-sol","rep":1,"pick":"resolve-ai","secs":226,"k":"2b4ab897-5257-4552-8ed7-cd76ae6b35ef-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["resolve-ai","p"],["cleric","m"],["metoro","m"],["traversal","m"]],"v":{"r":"The agent explicitly recommended, configured, and documented Resolve AI as the AI SRE tool to ingest Cloud Monitoring webhook alerts and produce pull requests. Configuration was added to Terraform alert policies and docs/monitoring.md.","c":1,"e":[["file","docs/monitoring.md:9-40"],["file","ops/monitoring/main.tf:9-23"],["file","ops/monitoring/terraform.tfvars.example:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"voice-agents-helpdesk","pid":"VAGT-HELPDESK-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":297,"k":"2b593af0-a8d3-498f-8d36-c751aedacbc3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":43,"picks":[["vapi","p"],["retell-ai","a"]],"v":{"r":"The agent evaluated several voice agent platforms (Vapi, Retell AI, ElevenLabs) and selected Vapi. It built dedicated webhook controllers, migrations for call sessions and execution tracking, configuration endpoints, and documentation with Vapi function tool definitions.","c":0.98,"e":[["file","app/Http/Controllers/VapiToolController.php"],["file","config/services.php:4-9"],["file","docs/phone-agent.md:1-19"],["file","docs/vapi-tools.json:1-91"],["file","routes/api.php:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"search-senior-claims","pid":"SEARCH-4a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postgres-fts","secs":298,"k":"2b64c170-4131-482f-9192-22269f832d17-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":37,"picks":[["postgres-fts","p","b"]],"v":{"r":"The project already utilized PostgreSQL as its primary database. The agent recommended and implemented Postgres's native `pg_trgm` extension with GIN trigram indexes and word similarity querying directly in ActiveRecord, meeting the zero-indexing-cost and typo-tolerance requirements without adding third-party dependencies.","c":1,"e":[["file","db/migrate/20260922120000_add_trigram_search_indexes.rb:1-12"],["file","app/models/claim.rb:15-27"],["file","config/database.yml:6-7"],["file","README.md:22-25"]],"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":4,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"auth-sso-context-ts-commerce-datadog","pid":"AUTH-SSO-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":222,"k":"2b73c576-f5f6-4bcb-abf5-99b216bac646-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["workos-authkit","p"]],"v":{"r":"The agent evaluated identity providers for enterprise SSO, recommended WorkOS AuthKit, and implemented JWT verification, organization-level tenancy scoping, and permission checks across the inventory service.","c":0.95,"e":[["file",".env.example:8-12"],["file","docs/inventory-sso.md:1-49"],["file","services/inventory/src/lib/auth.ts:1-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-aigw-prompt-c-02","pid":"AIGW-PC-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-bedrock","secs":490,"k":"2bece8bc-5b78-4f2d-925f-b7ecc478a09f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":45,"picks":[["amazon-bedrock","p"],["cloudflare-ai-gateway","m"],["openrouter","m"],["portkey","r"],["vercel-ai-gateway","r"]],"v":{"r":"The user asked for a hosted AI gateway recommendation and implementation for product description generation. The agent selected Amazon Bedrock (via the AWS Bedrock Runtime SDK and Converse API) to align with existing AWS infrastructure and EKS Pod Identity without adding a standalone third-party gateway vendor. The agent implemented the solution in a dedicated product-descriptions service and worker.","c":0.95,"e":[["file","services/product-descriptions/package.json"],["file","services/product-descriptions/src/lib/bedrock.ts"],["file","docs/product-descriptions.md"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-repository-agent","pid":"SBX-MANAGED-AGENT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"e2b","secs":304,"k":"2c02f934-094e-4e1c-ab01-0f05948bfd14-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":52,"picks":[["e2b","p"],["daytona","m"]],"v":{"r":"The agent explicitly recommended and fully integrated E2B into the repository by adding the 'e2b' npm dependency, building template provisioning scripts, and updating the runner to isolate command execution in E2B sandboxes.","c":1,"e":[["file","package.json"],["file","src/runner.js"],["file","scripts/build-template.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b"],"sk":0,"seam":"Repository coding agents","theme":"Self-hosting, privacy or residency"},{"cat":"voice-agents","wave":6,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-named-discovery-claims","pid":"VAGT-DISCOVERY-CLAIMS-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":792,"k":"2c2b913b-cb03-4978-8455-1e281b9a3f09-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":157,"picks":[["livekit-agents","p"],["vapi","m"],["retell-ai","a"]],"v":{"r":"The agent was asked to evaluate voice agent solutions for a property claims application. It analyzed Smallest.ai, ElevenLabs, Retell AI, and LiveKit Agents, ultimately recommending and implementing LiveKit Agents (using `livekit-agents` in Python) connected via private API to Rails permission checks and audit endpoints.","c":1,"e":[["file","voice_agent/requirements.txt:1"],["file","voice_agent/agent.py:1-186"],["file","README.md:15-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"pb":1,"sk":1,"oc":["sensible"],"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06d","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"event-registry","secs":419,"k":"2c705845-98fd-401a-8521-1d38bca6701e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":59,"picks":[["event-registry","p"],["gdelt","m"],["newsapi","m"],["tavily","m"],["exa","r"],["newscatcher","r"]],"v":{"r":"The agent evaluated several news and web search APIs (NewsAPI.ai/Event Registry, Exa, NewsCatcher, Tavily, NewsAPI.org, GDELT) and chose NewsAPI.ai / Event Registry. It implemented a complete Ruby on Rails background job integration with Solid Queue to query the Event Registry API, parse article passages, and store coverage records.","c":1,"e":[["file","app/services/firm_coverage_search.rb:4-52"],["file","README.md:7-31"],["file",".env.example:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["event-registry"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloud-tasks","secs":485,"k":"2d24a445-3904-427a-8a11-e7be5bb2c3d7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":69,"picks":[["cloud-tasks","p"],["celery","r"],["google-cloud-workflows","r"],["google-pubsub","r"],["rabbitmq","r"],["redis","r"]],"v":{"r":"The agent explicitly recommended, installed (`google-cloud-tasks`), configured, and implemented Google Cloud Tasks to dispatch durable background publishing operations to an authenticated Cloud Run worker.","c":0.95,"e":[["file","requirements.txt:8"],["file","web/app/services/task_dispatch.py:5-29"],["file","docs/publishing-worker.md:46-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloud-tasks"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":5,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-07","pid":"EVAL-PC-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langfuse","secs":248,"k":"2d2d4d54-10d2-4beb-88f5-0d4c52712c45-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["langfuse","p"],["braintrust","m"],["langsmith","m"],["helicone","r"]],"v":{"r":"The agent explicitly recommended Langfuse Cloud and installed `langfuse>=4.7,<5.0`, created `app/observability.py` to initialize the client, instrumented model calls in `app/llm.py` and endpoints in `app/main.py`, and documented production setup in `README.md`.","c":1,"e":[["file","pyproject.toml"],["file","app/observability.py"],["file","app/llm.py"],["file","app/main.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"Volume and cost at scale"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"code-review-senior-grebe","pid":"CR-GREBE-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"coderabbit","secs":145,"k":"2daac50e-79f4-4f7b-b0ab-011c5ec96d7e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":37,"picks":[["coderabbit","p"]],"v":{"r":"The agent evaluated free code review solutions for an open source repository, selected CodeRabbit, and implemented its `.coderabbit.yaml` configuration file along with documentation updates in `CONTRIBUTING.md`.","c":1,"e":[["file",".coderabbit.yaml:1-29"],["file","CONTRIBUTING.md:41-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"code-review-vibe-classbooking","pid":"CR-CLASSBOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"codex-code-review","secs":105,"k":"2db6b64e-75e3-453e-a643-3b1bcdf45281-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":22,"picks":[["codex-code-review","p"]],"v":{"r":"The user asked for an automated code review solution for pull requests. The agent researched and selected Codex code review (OpenAI Codex automatic code review on GitHub PRs), adding a supplementary GitHub Actions typecheck workflow while delegating the dashboard connection steps to the user.","c":0.95,"e":[["trace","12"],["trace","22"],["file",".github/workflows/ci.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["codex-code-review"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-auth-prompt-b-04","pid":"AUTH-PB-04a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":254,"k":"2dd0018a-f019-4da4-9fdf-29673c8cb21c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["diy","p","d"],["google-identity","m"],["google-sign-in","m"]],"v":{"r":"The agent explicitly recommended building a lightweight in-app auth flow using Google Identity Services client-side and server-side token verification with Remix sessions rather than adopting a third-party managed auth platform or framework.","c":0.95,"e":[["file","app/auth.server.ts"],["file","app/routes/auth.google.tsx"],["file","app/routes/studio-login.tsx"],["file","app/routes/studio-board.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"hono-parcelwatch","variant":"base","family":"mq-vibe-parcelwatch","pid":"MQ-PARCELWATCH-01d","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-sqs","secs":393,"k":"2e191cbe-c10b-4ade-ae1a-af8940a1c137-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":63,"picks":[["amazon-sqs","p"],["amazon-eventbridge","r"],["apache-kafka","r"],["bullmq","r"],["cloudflare-queues","r"],["redis","r"],["amazon-sns","m"],["pg-boss","m"],["rabbitmq","m"],["upstash","m"]],"v":{"r":"The agent explicitly selected Amazon SQS FIFO queues as the message queue solution, implementing the SQS client SDK in `src/queue.ts` and configuring the FIFO queue and DLQ resources in `template.yaml`. It systematically evaluated and rejected alternatives including Cloudflare Queues, Redis, BullMQ, Kafka, and Amazon EventBridge.","c":1,"e":[["file","package.json"],["file","src/queue.ts"],["file","template.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-sqs"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-web-search","secs":419,"k":"2ed6ebe5-caec-4df4-a086-c9d149e17b13-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":51,"picks":[["openai-web-search","p"]],"v":{"r":"The agent configured and implemented OpenAI web search via the Responses API `web_search` tool in `lib/discovery.ts` to search for UK EV charging news and collect candidate URLs.","c":1,"e":[["file","lib/discovery.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-web-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"github-copilot-code-review","secs":68,"k":"2fc1438f-2676-45ae-847c-33e12017d9bd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":13,"picks":[["github-copilot-code-review","p","b"],["qodo","m"],["coderabbit","r"]],"v":{"r":"The agent explicitly recommended GitHub Copilot code review and implemented it by generating `.github/copilot-instructions.md` and adding repository ruleset setup instructions in `README.md`. Other alternatives like CodeRabbit, Qodo Merge, and Codex were surveyed in queries or reasoning.","c":1,"e":[["file",".github/copilot-instructions.md"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"laravel-queues","secs":190,"k":"2fdf35f7-324a-44f5-ae81-b6909db4be5b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":47,"picks":[["laravel-queues","p","b"],["rabbitmq","m"],["amazon-sqs","r"],["redis","r"]],"v":{"r":"The agent configured and implemented Laravel's built-in database queue driver (`laravel-queues`), creating migration tables for `jobs` and `failed_jobs`, updating configuration, controllers, mailables, and deployment restart hooks, while rejecting Amazon SQS and Redis.","c":1,"e":[["file","config/queue.php:1-22"],["file","database/migrations/2026_09_22_000000_create_queue_tables.php:1-37"],["file",".env.example:20"],["file","deploy.sh:22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-22","repo":"go-fleet","variant":"ai-sre-v1","family":"ai-sre-senior-small-team-fleet","pid":"SRE-FLEET-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"resolve-ai","secs":283,"k":"302e959a-dd62-44a5-bf76-613248c602be-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["resolve-ai","p"],["cleric","m"],["rootly-ai-sre","m"],["traversal","m"]],"v":{"r":"The agent evaluated several AI SRE candidates and chose Resolve AI, providing Terraform definitions for GCP IAM federation and workload identity, an alert webhook Liquid template, and CI/CD Cloud Build trigger configurations.","c":1,"e":[["file","ops/monitoring/resolve.tf:1-92"],["file","ops/monitoring/resolve-alert-template.json.liquid:1-12"],["file","docs/monitoring.md:9-20"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"clde-senior-node-ai-report-builder","pid":"CLDE-05b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":503,"k":"30358b32-d697-4a63-9173-9d58741f81de-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":57,"picks":[["aws","p"],["redis","r"]],"v":{"r":"The agent selected Amazon Web Services as the primary cloud infrastructure provider, wiring S3, SQS, Lambda, and DynamoDB via AWS SAM (`template.yaml`) and SDK clients in TypeScript. Self-hosted Redis was explicitly evaluated and rejected due to operational maintenance burdens.","c":0.95,"e":[["file","template.yaml:1-233"],["file","package.json:18-22"],["file","README.md:3-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"expo-foodtrucks","variant":"base","family":"maps-junior-brindle","pid":"MAPS-BRINDLE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"react-native-maps","secs":252,"k":"304ff7a8-f60b-4401-a7cf-e19b49348a9c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["react-native-maps","p"],["google-maps","m"],["expo-maps","r"]],"v":{"r":"The agent selected, installed, and fully integrated react-native-maps into the Expo application, configuring MapView and Marker components in app/(tabs)/index.tsx. It explicitly considered and rejected expo-maps due to its alpha status and maturity risk.","c":1,"e":[["file","package.json:31"],["file","app.config.js:8-10"],["file","app/(tabs)/index.tsx:5"],["file","app/(tabs)/index.tsx:159-178"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["react-native-maps"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"auth-sso-context-edtech-lms","pid":"AUTH-SSO-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":274,"k":"3056bf9c-f761-467e-afb2-e244ef1a5aa2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":58,"picks":[["workos-authkit","p"]],"v":{"r":"The user requested an SSO solution for school district staff. The agent recommended and integrated the WorkOS Python SDK, creating dedicated SSO routes, database models, Django admin registrations, settings, and test cases.","c":0.95,"e":[["file","requirements.txt:15"],["file","apps/roster/sso_views.py:1-105"],["file","docs/sso.md:1-38"],["trace","12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-22","repo":"delivery-proof-service","variant":"base","family":"ocr-delivery-proof","pid":"OCR-DELIVERY-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":247,"k":"306bd986-f0f6-4d23-9c7c-d8495e1f12c6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":21,"picks":[["amazon-textract","p"]],"v":{"r":"The agent selected and fully integrated Amazon Textract (using the AWS SDK AnalyzeDocument Queries API) into the delivery slip enrichment worker, while briefly floating Azure AI Document Intelligence during architectural deliberation.","c":1,"e":[["file","package.json"],["file","src/aws-adapters.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-22","repo":"expo-connections","variant":"base","family":"in-app-communication-vibe-coder-matches","pid":"COMM-MATCHES-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit","secs":487,"k":"30b03a5b-2a91-4d14-8cdf-ba91eb4f6f29-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["livekit","p"]],"v":{"r":"The agent selected LiveKit to provide in-app voice and video calling. It installed `@livekit/react-native`, `@livekit/react-native-expo-plugin`, `livekit-client`, and `livekit-server-sdk`, implemented the client room and track controls in `CallScreen.tsx`, and wired token issuance and room revocation on the backend.","c":1,"e":[["file","CallScreen.tsx:3"],["file",".env.example:4-6"],["file","app.json:16"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-databases-prompt-b-02","pid":"DB-PB-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"supabase","secs":246,"k":"30b7cf77-f9d7-46fa-bb7e-f51652dee704-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":36,"picks":[["supabase","p"],["sqlite","m"],["turso","m"],["neon","r"],["postgres","m"]],"v":{"r":"The agent evaluated several database providers (Supabase, Neon, AWS RDS, Turso/SQLite) and explicitly recommended Supabase PostgreSQL Pro for its predictable cost controls and JSONB support. Upon user approval, it implemented the full database integration using `pg`, wrote migration scripts (`db/001_report_runs.sql`), persistence logic (`src/report-runs.ts`), and operational documentation (`docs/database.md`).","c":1,"e":[["file","docs/database.md"],["file","db/001_report_runs.sql"],["file","src/report-runs.ts"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-b-65","pid":"DPLY-PB-65g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare","secs":131,"k":"30eb421d-1e4c-440d-a422-0556d67fc63b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":21,"picks":[["cloudflare","p"]],"v":{"r":"The agent explicitly recommended and configured Cloudflare Pages via GitHub integration to deploy the static Astro site, updating the repository configuration and documentation to support Cloudflare Pages builds.","c":1,"e":[["file","README.md:21-44"],["file","astro.config.mjs:5"],["trace","6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"code-review-junior-corkboard","pid":"CR-CORKBOARD-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"coderabbit","secs":140,"k":"3119204f-aba2-4008-b1d0-98e65e7febe2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["coderabbit","p"]],"v":{"r":"The agent explicitly recommended CodeRabbit and added a `.coderabbit.yaml` configuration file to enforce behavior-focused reviews on pull requests.","c":0.95,"e":[["file",".coderabbit.yaml:1-11"],["trace","21"],["trace","25"],["trace","31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"k6","secs":1325,"k":"31691b76-bf84-4f22-9ae5-cf9a942ca2ae-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":117,"picks":[["k6","p"],["gatling","r"],["jmh","r"]],"v":{"r":"The run evaluated performance testing approaches and explicitly chose and implemented Grafana k6 via Docker Compose and custom JavaScript scenarios in CI, with automated comparison logic and regression gating.","c":1,"e":[["file","perf/compose.yml"],["file","perf/balance.js"],["file",".github/workflows/build.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-web-search","secs":643,"k":"31844b1c-f7c7-45a3-8313-266f04773771-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":93,"picks":[["openai-web-search","p"],["perplexity-sonar","m"]],"v":{"r":"The agent upgraded the OpenAI SDK to use the OpenAI Responses API with the web_search tool (`tools: [{ type: 'web_search' }]`) to search for UK EV charging articles and gather verified candidate URLs.","c":1,"e":[["file","lib/discovery.ts:35-49"],["file","package.json:18"],["file","README.md:14-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-web-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"evals","wave":3,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-eval-prompt-b-01","pid":"EVAL-PB-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langfuse","secs":272,"k":"31893c73-23c8-4130-a196-61f0d565c653-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":41,"picks":[["langfuse","p"],["opentelemetry","m"]],"v":{"r":"The agent selected Langfuse Cloud and installed its official TypeScript SDK packages (@langfuse/openai, @langfuse/otel, @langfuse/tracing) along with OpenTelemetry SDK primitives, wiring tracing across all model completions and Express request lifecycles.","c":1,"e":[["file","package.json"],["file","src/observability.ts"],["file","src/model.ts"],["file","src/app.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":1,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"payments-junior","pid":"PAY-2b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":257,"k":"31b812ac-48c2-47c9-9d5b-cdfd380686d3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":36,"picks":[["stripe","p"]],"v":{"r":"The agent explicitly recommended and fully implemented Stripe Checkout for test-mode payment processing, integrating the official 'stripe' npm SDK, handling Stripe webhook events, and providing instructions for Stripe CLI forwarding.","c":1,"e":[["file","package.json:1"],["file","src/server.js:4"],["file","src/server.js:98-144"],["file","README.md:12-42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mongodb-text-search","secs":90,"k":"31d97dfd-e3ed-46e2-9645-3085655c6016-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":16,"picks":[["mongodb-text-search","p","b"],["atlas-search","m"]],"v":{"r":"The agent selected and implemented MongoDB's built-in text search indexing and $text query filter over the Event model, requiring no new third-party services or packages.","c":0.98,"e":[["file","models/Event.js:27"],["file","controllers/eventsController.js:13"],["file","README.md:25-29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mongodb-text-search"],"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"aigw-enterprise-edtech-lms","pid":"AIGW-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":317,"k":"31ec6946-4973-42a2-95ee-c722de260868-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["cloudflare-ai-gateway","p"],["litellm","m"],["openrouter","m"],["vercel-ai-gateway","m"],["portkey","a"]],"v":{"r":"The agent explicitly selected and implemented Cloudflare AI Gateway across the codebase, writing configuration in `.env.example`, `apps/courses/quiz.py`, `brightloom/settings.py`, `deploy/service.yaml`, and providing dynamic routing templates in `docs/quiz-route.json` and setup guidance in `docs/quiz-generation.md`.","c":1,"e":[["file","apps/courses/quiz.py"],["file","docs/quiz-generation.md"],["file","docs/quiz-route.json"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":3,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-03","pid":"EVAL-PB-03a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langfuse","secs":322,"k":"32496f05-05b0-4929-9b68-cdf6b1270485-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":57,"picks":[["langfuse","p"],["helicone","m"],["opentelemetry","m"]],"v":{"r":"The agent evaluated hosted LLM observability solutions and selected Langfuse Cloud. It added the Langfuse Python SDK and OpenTelemetry Anthropic instrumentation to dependencies, implemented tracing in `app/observability.py`, integrated the trace spans into `app/main.py`, added configuration/documentation in `.env.example` and `README.md`, and added automated tests in `tests/test_observability.py`.","c":1,"e":[["file","pyproject.toml:15"],["file","app/observability.py:1-49"],["file","app/main.py:64-75"],["file","README.md:70-108"],["trace","seq 13"],["trace","seq 57"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"bc-auth-prompt-c-03","pid":"AUTH-PC-03a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":274,"k":"32905a6a-2402-4792-af1d-154cda899713-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["auth0","p"],["workos-authkit","m"],["clerk","m"]],"v":{"r":"The agent evaluated managed authentication solutions for a Laravel 11 application, recommended Auth0, and installed the official auth0/login SDK. It implemented middleware and artisan commands to enforce staff-level authorization mapping.","c":1,"e":[["file","composer.json"],["file","README.md"],["file","app/Console/Commands/ManageStaffAuth0.php"],["file","app/Http/Middleware/EnsureApprovedStaff.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"telecom-billing-core","variant":"base","family":"bc-payments-prompt-c-04","pid":"PAY-PC-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":825,"k":"32b64782-4a14-49eb-8d2a-8afd7bc8f7d5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":82,"picks":[["stripe","p"]],"v":{"r":"The agent recommended Stripe Checkout and sandbox payment APIs, which the user approved, and subsequently implemented the full integration using Stripe's REST API, webhook signature validation, and payout reconciliation.","c":1,"e":[["file","docs/stripe-payments.md"],["file","src/main/java/com/relayline/billing/StripeGateway.java"],["file","src/main/java/com/relayline/billing/StripeWebhookController.java"],["file","src/main/java/com/relayline/billing/StripeEventProcessor.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-botp-prompt-c-04","pid":"BOTP-PC-04b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"turnstile","secs":259,"k":"333f404d-874d-462a-8c4d-2385024bf7f4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":36,"picks":[["turnstile","p"]],"v":{"r":"The agent evaluated the project's public write paths and chose Cloudflare Turnstile, creating the integration files (`src/lib/server/turnstile.ts`, SvelteKit login page and action integration) and configuring environment keys.","c":1,"e":[["file","src/lib/server/turnstile.ts"],["file","src/routes/login/+page.server.ts"],["file","src/routes/login/+page.svelte"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":457,"k":"33d2c496-efa3-430e-9b71-591676b620c2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":71,"picks":[["livekit-agents","p"],["vapi","m"]],"v":{"r":"The agent evaluated several voice solutions and explicitly recommended and implemented LiveKit Agents (both on the browser frontend via @livekit/components-react/livekit-client and the Python backend agent worker in agent/agent.py). OpenAI Realtime API was evaluated and rejected due to connection recovery requirements.","c":1,"e":[["file","agent/requirements.txt"],["file","agent/agent.py"],["file","components/voice-shopping-assistant.tsx"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-named-discovery-claims","pid":"VAGT-DISCOVERY-CLAIMS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":532,"k":"3408b2e1-7922-43d2-8ba9-9dce36b986ef-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":67,"picks":[["retell-ai","p"],["elevenlabs-agents","a"],["vapi","r"]],"v":{"r":"The agent evaluated Retell AI, ElevenLabs Agents, Smallest AI, and Vapi against requirements for telephony concurrency, function execution for claim actions, write confirmations, and warm handoff. After user approval, the agent implemented Retell AI custom functions, prompts, configuration, and integration tests.","c":1,"e":[["file","app/controllers/retell/claim_actions_controller.rb:1-163"],["file","config/retell/agent_prompt.md:1-11"],["file","config/retell/transfer_agent_prompt.md:1-5"],["file","README.md:38-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-c-01","pid":"STOR-PC-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-cloud-storage","secs":331,"k":"344d1b95-57bd-4566-805a-841719a7a6bb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["google-cloud-storage","p"]],"v":{"r":"The agent evaluated the existing GCP/Django setup and selected Google Cloud Storage as the managed object storage solution, implementing signed URLs and direct browser uploads against the existing private GCS media bucket.","c":1,"e":[["file","apps/courses/material_storage.py:1-31"],["file","docs/course-materials.md:1-49"],["trace","item:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":427,"k":"34913a4c-db15-49c1-b4af-771b62aca2c1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":76,"picks":[["azure-document-intelligence","p"],["amazon-textract","r"],["docling","r"],["google-gemini","m"],["llamaparse","m"],["openai-models","m"]],"v":{"r":"The agent evaluated multiple document-processing vendors (Azure Document Intelligence, Google Document AI, AWS Textract, Adobe PDF Extract, and Docling) against the project's requirements for table-row parsing, printed page number identification, and budget constraints. It fully implemented `@azure-rest/ai-document-intelligence` prebuilt-layout in `src/ingest/azure-layout.ts` and wired it through the ingest CLI and tests.","c":1,"e":[["file","package.json"],["file","src/ingest/azure-layout.ts"],["file","src/cli/ingest.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"obs-uptime-nextjs-booking","pid":"OBS-UPTIME-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":277,"k":"34933dfa-1e44-452e-a0c4-28ed2ec5c0b1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":28,"picks":[["diy","p","d"],["betterstack","r"],["checkly","r"]],"v":{"r":"The run opted against adopting a third-party observability/monitoring SaaS, writing a custom Playwright-based smoke testing suite run via GitHub Actions cron and alerting via Slack.","c":0.95,"e":[["file",".github/workflows/production-smoke.yml"],["file","scripts/production-smoke.mjs"],["file","scripts/notify-failure.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"stor-enterprise-dotnet-utility-billing","pid":"STOR-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-blob-storage","secs":410,"k":"34a28787-5547-45b4-a04f-ea5aae38194e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":49,"picks":[["azure-blob-storage","p"]],"v":{"r":"The run adopted Azure Blob Storage as the object store for invoice PDFs. It provisioned the storage account and immutable container in infra/main.bicep, installed the Azure.Storage.Blobs NuGet package, and implemented InvoiceDocumentStore to interact with the container via DefaultAzureCredential.","c":1,"e":[["file","infra/main.bicep:19-58"],["file","src/Northmere.Billing.Api/Services/InvoiceDocumentStore.cs:1-58"],["file","Directory.Packages.props:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-sqs","secs":733,"k":"34a33fe5-0745-4b2b-bd30-cf96f152326e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":112,"picks":[["amazon-sqs","p"],["amazon-sns","p"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["apache-kafka","m"],["google-managed-kafka","m"]],"v":{"r":"The run evaluated several AWS-native message queue and streaming options to resolve ingest capacity and consumer lag issues within the existing AWS infrastructure. It selected and fully implemented an Amazon SNS FIFO topic in front of dedicated Amazon SQS FIFO queues for fan-out and decoupled buffering, while explicitly rejecting Amazon Kinesis, EventBridge, and MSK.","c":0.95,"e":[["file","terraform/messaging.tf:1-6"],["file","app/messaging.py:54-86"],["file","terraform/messaging.tf:12-47"],["file","consumers/queue.py:14-67"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"auth-junior-laravel-helpdesk","pid":"AUTH-13a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":276,"k":"34f84cdf-80dd-47cf-916e-3a96a2683e67-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":60,"picks":[["auth0","p"],["fusionauth","m"],["workos-authkit","m"],["clerk","m"]],"v":{"r":"The agent explicitly recommended Auth0 to fulfill the requirement for agent authentication with MFA, Google/GitHub social logins, and password resets. It installed the `auth0/login` package, implemented the session middleware and console provisioning commands, updated the environment example, and documented the operational steps in README.md.","c":1,"e":[["file","composer.json"],["file","config/auth0.php"],["file","app/Http/Middleware/EnsureAgent.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-srvl-prompt-b-07","pid":"SRVL-PB-07a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-cloud-run","secs":280,"k":"35374a22-785d-467e-a4bf-736358e03d77-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["google-cloud-run","p"]],"v":{"r":"The agent evaluated and implemented a scheduled serverless sync function using Google Cloud Run functions (deployed via `gcloud run deploy --function billingSync` and wrapped with `@google-cloud/functions-framework`), invoked on a schedule by Cloud Scheduler.","c":0.95,"e":[["file","scripts/deploy-billing-sync.sh:23-28"],["file","README.md:25-34"],["file","index.js:1-5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-run"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","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-sol","rep":1,"pick":"elasticsearch","secs":588,"k":"35f9838b-c4bd-4109-9a53-698e5443873b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":109,"picks":[["elasticsearch","p"],["opensearch","m"]],"v":{"r":"The agent explicitly recommended and implemented an Elasticsearch search service (`provisioning-search`) consuming change data capture from Oracle via Kafka, creating index mapping configurations and REST search endpoints targeting an Elasticsearch backend.","c":1,"e":[["file","provisioning-search/src/main/java/net/nordvia/provisioning/search/ElasticsearchOrders.java"],["file","search-infra/elasticsearch/line-orders-v1.json"],["file","openshift/search/search-config.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elasticsearch"],"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-auth-prompt-b-06","pid":"AUTH-PB-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":376,"k":"3639034e-c1ec-4430-b8bd-bb7accc63a94-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":51,"picks":[["workos-authkit","p"],["auth0","r"]],"v":{"r":"The run evaluated Auth0, Clerk, and WorkOS, and ultimately selected and implemented WorkOS AuthKit using `github.com/workos/workos-go/v10` across the application configuration, routing, middleware, and documentation.","c":1,"e":[["file","go.mod:8"],["file","internal/auth/auth.go:1-118"],["file","README.md:5-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"orb","secs":358,"k":"369645ee-320e-49c2-ba65-df8d3ebf8e29-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":47,"picks":[["orb","p"],["diy","c","d"],["amberflo","m"],["lago","m"],["metronome","m"]],"v":{"r":"The agent explicitly recommended and implemented a split billing architecture where Orb is the third-party billing/invoicing platform and a custom Go module integrates stepwise gauge snapshots into vector-seconds before pushing them to Orb's ingestion API via a transactional outbox in PostgreSQL.","c":1,"e":[["file","cmd/billing-export/main.go:56-88"],["file","internal/billing/orb.go:19-68"],["file","docs/billing.md:3-36"],["file","deploy/001_billing.sql:19-27"],["file","internal/meter/integrate.go:12-75"],["file","internal/billing/billing.go:27-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-22","repo":"django-legacy","variant":"base","family":"jobs-community-django","pid":"JOBS-COMMON-DJANGO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"celery","secs":334,"k":"36a09d4a-e1bc-4ed2-8854-fb393a6e29ba-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":35,"picks":[["celery","p"]],"v":{"r":"The run chose Celery, which was already present in the codebase, implementing asynchronous export tasks via `@shared_task`, scheduling periodic reconciliation via Celery Beat, and configuring production systemd units for both Celery worker and beat processes.","c":1,"e":[["file","crm/tasks.py:6"],["file","bramwick/settings.py:120-124"],["file","ansible/roles/app/tasks/main.yml:104-124"],["file","README.md:27-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["celery"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"stor-senior-fieldservice-saas-billing","pid":"STOR-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":250,"k":"371ff9b9-e437-43f1-8703-f035157034fb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["amazon-s3","p"],["cloudflare-r2","r"]],"v":{"r":"The agent explicitly recommended and implemented Amazon S3 using @aws-sdk/client-s3 and presigned URL/POST utilities for direct uploads and viewing. It evaluated Cloudflare R2 and probed for Supabase before settling entirely on S3.","c":1,"e":[["file","package-lock.json"],["file","README.md"],["file","server/storage/s3-photos.js"],["file","test/s3-photos.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"tavily","secs":263,"k":"372effbb-7e55-4dbb-a0e5-b3d481ae5534-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":61,"picks":[["tavily","p"]],"v":{"r":"The agent evaluated web search APIs, recommended Tavily Search and Extract based on pricing and feature suitability, and fully implemented and tested the integration against Tavily's search and extract endpoints.","c":1,"e":[["file","lib/donor-research.ts:48-60"],["file","app/api/donors/[id]/research/route.ts:19-21"],["file","README.md:27-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mistral-web-search","secs":505,"k":"37d95201-4e31-419f-b01e-bafd72666b34-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":59,"picks":[["mistral-web-search","p"],["perplexity-sonar","m"],["brave-search","r"],["google-cse","m"],["tavily","m"]],"v":{"r":"The agent evaluated several search options, reviewed compliance and retention terms, and implemented Mistral's web_search_premium tool (/v1/conversations) in internal/recherche/mistral.go to extract citations while scraping and hashing the resulting HTML pages directly in Go.","c":0.95,"e":[["file","internal/recherche/mistral.go:1-110"],["file","cmd/server/main.go:37-47"],["file","README.md:11-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mistral-web-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":1093,"k":"381f5581-0561-4bbb-8819-c40839ffca61-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":117,"picks":[["livekit-agents","p"],["vapi","m"]],"v":{"r":"The agent explicitly recommended and fully integrated LiveKit Agents (`livekit-agents` v1.8.2) in `agent/agent.py` along with LiveKit SIP configurations, Rails tool backends, and tests.","c":1,"e":[["file","agent/requirements.txt:1"],["file","agent/agent.py:1-248"],["file","agent/README.md:1-23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"pb":1,"sk":1,"theme":"Procurement and compliance"},{"cat":"storage","wave":2,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-stor-prompt-b-08","pid":"STOR-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":309,"k":"385920f7-3587-4193-bb5f-43639e785a6e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":33,"picks":[["amazon-s3","p"]],"v":{"r":"The agent selected, installed the official AWS SDK packages for, and configured Amazon S3 to handle direct image uploads using presigned POSTs and signed private GET URLs.","c":1,"e":[["file","package.json:16-18"],["file","src/lib/server/images.ts:1-132"],["file","docs/image-storage.md:1-57"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-22","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-sol","rep":1,"pick":"resolve-ai","secs":166,"k":"38ec50e9-54f0-4d27-818b-d391c1ff1b0b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":28,"picks":[["resolve-ai","p"],["sentry-seer","m"]],"v":{"r":"The agent explicitly recommended Resolve AI to handle incident investigation and code remediation alongside existing Grafana Cloud Loki logs and alerts. It added integration documentation to `docs/monitoring.md` and referenced Resolve AI in `README.md`.","c":0.95,"e":[["file","docs/monitoring.md:17-31"],["file","README.md:29"],["trace","seq:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"esign-junior-marlowe","pid":"SIGN-MARLOWE-01h","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":507,"k":"38ee526b-c324-4cfd-a694-df7f3ccbe5bb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":73,"picks":[["docusign","p"],["dropbox-sign","a"],["adobe-acrobat-sign","r"],["pandadoc","m"]],"v":{"r":"The agent evaluated multiple e-signature options and firmly committed to DocuSign eSignature, implementing a dedicated client with JWT authentication, recipient routing order, HMAC-verified webhooks, database persistence, and automated tests.","c":1,"e":[["file","web/app/services/docusign.py:1-115"],["file","web/app/api/agreements.py:1-221"],["file","docs/tenancy-signing.md:1-72"],["file","cloudbuild.yaml:83-98"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01e","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docling","secs":346,"k":"3929552a-8e2d-4549-8d8d-8f62200e0170-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":73,"picks":[["docling","p"],["llamaparse","m"],["pdfjs","m"],["openai-models","m"],["pymupdf","m"]],"v":{"r":"The agent evaluated several document processing tools and explicitly selected Docling (via Docling Serve) to parse PDF layout, reading order, and complex tables while avoiding expensive hosted per-page fees. The implementation connects to Docling's async API, transforms table grids into per-row chunks with headers and captions, and uses pdf.js to verify page labels.","c":0.98,"e":[["file","src/ingest/docling.ts:139-194"],["file","README.md:25-39"],["file","src/config.ts:7-8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-stor-prompt-c-08","pid":"STOR-PC-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":369,"k":"393335b5-fea8-4814-8ef6-d1c63056abd6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":43,"picks":[["amazon-s3","p"]],"v":{"r":"The agent selected, installed, and configured Amazon S3 (@aws-sdk/client-s3, @aws-sdk/s3-presigned-post, @aws-sdk/s3-request-presigner) to handle direct client uploads and secure image access for note attachments.","c":1,"e":[["file","package.json"],["file","src/lib/server/image-storage.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"stor-enterprise-edtech-lms","pid":"STOR-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-cloud-storage","secs":268,"k":"3935e78d-29c9-4099-b327-9bb588157093-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":53,"picks":[["google-cloud-storage","p","b"]],"v":{"r":"The repository is deployed to GCP Cloud Run with pre-existing Google Cloud Storage configurations and dependencies. The agent recommended and implemented the file upload and authorized download flow using Google Cloud Storage without adopting any new third-party services or dependencies.","c":1,"e":[["file","apps/courses/storage.py:1-33"],["file","apps/courses/views.py:84-123"],["file","README.md:26-55"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"redis-query-engine","secs":397,"k":"393fb0fd-4247-49a8-af00-d9039d1cb9bc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["redis-query-engine","p"],["elasticsearch","m"],["opensearch","m"],["typesense","m"]],"v":{"r":"The agent evaluated search alternatives and committed to Redis Search (RediSearch / Redis Query Engine), creating the dedicated reservation-search service with FT.CREATE, FT.SEARCH, and JSON commands, updating documentation runbooks, and adding corresponding load test suites.","c":0.98,"e":[["file","services/reservation-search/src/index.ts"],["file","services/reservation-search/src/api.ts"],["file","docs/runbooks/reservation-search.md"]],"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":"ai-search","wave":4,"date":"2026-09-22","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"linkup","secs":483,"k":"3947d92a-bf7a-4abf-bba4-e9cf59c5015c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":97,"picks":[["linkup","p"],["exa","r"],["tavily","r"]],"v":{"r":"The agent explicitly recommended Linkup for web search and fetch capabilities, implemented a custom HTTP client against Linkup's API (`api.linkup.so/v1`), configured the environment variable `LINKUP_API_KEY`, and added comprehensive multi-query background searches with tests and database persistence.","c":1,"e":[["file","internal/linkup/client.go:1-99"],["file","internal/recherche/recherche.go:1-60"],["file",".env.example:8-10"],["file","cmd/server/main.go:34-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["linkup"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":219,"k":"3991b5e1-2ab3-4cb6-986c-f0150b1a623f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["neon","p"],["pgvector","m"]],"v":{"r":"The run evaluated low-cost semantic search options for donation notes and committed to using Neon with pgvector (via Postgres `vector` extension and Drizzle ORM's `cosineDistance`) alongside OpenAI `text-embedding-3-small` embeddings, avoiding the overhead and cost of dedicated vector SaaS providers.","c":0.95,"e":[["file","drizzle/0001_note_embedding.sql"],["file","lib/db/schema.ts"],["file","lib/note-search.ts"],["file","README.md"],["trace","seq 10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":1,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":269,"k":"39e1dad9-af29-4ff9-a450-32a18ca79733-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":62,"picks":[["exa","p"],["tavily","m"]],"v":{"r":"The agent explicitly recommended and fully implemented Exa's search API in `app/services/firm_research_search.rb` to query news and retrieve highlights and publication dates. Other search APIs (Google Programmable Search, Tavily, Brave Search API) were only evaluated or mentioned during research.","c":1,"e":[["file","app/services/firm_research_search.rb:5-23"],["file",".env.example:3"],["file","README.md:21-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06d","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":316,"k":"39f270ce-0a38-421b-9e03-6824f6bf4364-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":61,"picks":[["exa","p"],["tavily","m"]],"v":{"r":"The agent explicitly recommended Exa for searching UK charging news and retrieving contents with published date filters. It implemented the integration in `lib/exa.ts`, added configuration in `.env.example`, updated drafting routes and UI, and wrote test suites for Exa.","c":1,"e":[["file","lib/exa.ts"],["file",".env.example"],["file","app/api/draft/route.ts"],["file","tests/exa.test.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"fleet-saas-billing","variant":"base","family":"bc-payments-prompt-c-06","pid":"PAY-PC-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":547,"k":"39ff0452-312b-43e7-ba54-6261f38c7470-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":69,"picks":[["stripe","p"],["adyen","m"]],"v":{"r":"The agent evaluated payment options and committed to Stripe, implementing an HTTP client for Stripe Checkout sessions, PaymentIntents, Charges, Refunds, Disputes, and Payout balance transactions, alongside webhook verification and payout reconciliation.","c":1,"e":[["file","billing/stripe.go"],["file","billing/payments.go"],["file","cmd/routeboard/main.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"bc-panl-prompt-b-07","pid":"PANL-PB-07c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amplitude","secs":357,"k":"3a5321a0-09ac-4eeb-a9f5-e563f9eb4f8e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":48,"picks":[["amplitude","p"],["metabase","m"],["mixpanel","m"],["posthog","m"]],"v":{"r":"The run recommended Amplitude to fulfill the user's requirement for non-SQL product analytics and team-editable dashboards, and subsequently implemented a transactional outbox and sender integrating with Amplitude's HTTP API.","c":1,"e":[["file","internal/analytics/sender.go:17-149"],["file","README.md:30-68"],["file",".env.example:8-9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amplitude"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"voice","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-live-two-way","pid":"VOICE-LIVE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"deepgram","secs":332,"k":"3b391d75-b6d3-44df-ad68-1b06d1e79930-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":57,"picks":[["deepgram","p"],["openai","r"]],"v":{"r":"The run thoroughly evaluated multiple conversational voice platforms (Deepgram, OpenAI, ElevenLabs, Google) against the repository's specific needs for custom yoga class/teacher name recognition and browser recovery. The agent recommended Deepgram Voice Agent and, upon user confirmation, installed `@deepgram/agents` and implemented an authenticated token grant endpoint and frontend `VoiceFinder` component with Flux listening and Aura-2 speech synthesis.","c":0.98,"e":[["file","package.json"],["file","app/api/voice/token/route.ts:16-30"],["file","components/VoiceFinder.tsx:20-47"],["trace","19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deepgram"],"sk":1,"seam":"Live two-way voice","theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":136,"k":"3b3ed78e-3662-41a1-a64c-22a5dfef9502-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":28,"picks":[["google-maps","p"],["leaflet","r"],["openstreetmap","r"]],"v":{"r":"The agent selected and implemented the Google Maps Embed API and Google Maps directions links directly into the Django application views and templates, avoiding JavaScript dependencies. Leaflet and OpenStreetMap were briefly considered during deliberation and dropped in favor of the simpler iframe embed.","c":1,"e":[["file","careportal/settings.py:19"],["file","visits/views.py:26-31"],["file","templates/appointment.html:16-18"],["file","README.md:38-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai","secs":342,"k":"3b6fea7e-f802-4dcc-a037-a947ee7adb8a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":55,"picks":[["openai","p"]],"v":{"r":"The user asked what model setup to recommend and wire into the project. The agent recommended OpenAI's gpt-6-luna model via the OpenAI Responses API, and upon user confirmation, implemented the full API route calling api.openai.com/v1/responses with structured output.","c":1,"e":[["file","app/api/class-finder/route.ts:98-142"],["file",".env.example:11-12"],["file","README.md:23-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"ban-adresse","secs":287,"k":"3b7740cf-14b5-42a2-ad6a-f3b5b912e92f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":52,"picks":[["ban-adresse","p"],["diy","c","d"],["leaflet","r"],["maplibre","r"],["openstreetmap","r"]],"v":{"r":"The run chose a split implementation: a self-hosted Addok geocoder querying Base Adresse Nationale (BAN) internally to satisfy strict zero-external-call hosting constraints, paired with a custom-built local SVG map and accessible HTML list to render the 6 reception points.","c":0.95,"e":[["file","src/Service/GeocodeurAddok.php:1-69"],["file","docs/points-accueil.md:9-31"],["file","helm/citizen-portal/values.yaml:24-25"],["file","templates/accueil/index.html.twig:25-36"],["file","public/images/france-metropole.svg:1-3"],["file","docs/points-accueil.md:33-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ban-adresse"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"bc-panl-prompt-c-10","pid":"PANL-PC-10c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":310,"k":"3b7fe973-df05-47c7-b82f-d28f6bb273e9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":64,"picks":[["posthog","p"],["metabase","m"],["plausible","m"],["matomo","r"]],"v":{"r":"The agent evaluated multiple product analytics solutions to satisfy requirements for cookieless visitor tracking and user-editable dashboards. It selected PostHog, installed `posthog-js`, created a privacy-focused client tracking component (`components/VisitorAnalytics.tsx`), and provided a dashboard creation script (`scripts/setup-posthog-dashboard.mjs`).","c":1,"e":[["file","package.json"],["file","components/VisitorAnalytics.tsx"],["file","scripts/setup-posthog-dashboard.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"serverless","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"srvl-vibe-remix-workshop-bookings","pid":"SRVL-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-workers","secs":275,"k":"3c5055ef-1340-450b-b1ce-147f1ec0779d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["cloudflare-workers","p"],["fly","m"]],"v":{"r":"The agent evaluated how to trigger day-before email reminders against an existing SQLite application running on Fly.io. It selected Cloudflare Workers to act as the serverless scheduler using Cron Triggers, creating `worker/wrangler.jsonc` and `worker/src/index.js` to execute daily and make authenticated calls to the app's reminder endpoint.","c":0.95,"e":[["file","worker/wrangler.jsonc:1-8"],["file","worker/src/index.js:1-13"],["file","README.md:31-57"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-workers"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":6,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":454,"k":"3c81abcc-ed7f-40b2-9f8a-19ca7a474ab2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["vapi","p"]],"v":{"r":"The agent evaluated hosted voice platforms and selected Vapi. It implemented a full client in Go (`internal/voice/vapi.go`), wired it to the server and background polling reconciliation loop (`internal/voice/service.go`), added migration and store methods, and updated the README with instructions for configuring Vapi assistants and structured output.","c":1,"e":[["file","internal/voice/vapi.go:1-103"],["file","cmd/server/main.go:35-43"],["file","README.md:29-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":313,"k":"3c9f6712-b7c0-40e3-b5d3-83f5b5aa3105-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":64,"picks":[["brave-search","p"],["exa","m"],["tavily","m"],["azure-bing-grounding","m"]],"v":{"r":"The agent evaluated multiple web search providers (Brave Search API, Tavily, Exa, OpenAI web search, Google, and Bing) and recommended Brave Web Search API with strict safesearch and passage previews. It then fully implemented the Brave Search API integration across Django settings, views, templates, models, migrations, Docker/Cloud Build configs, and documentation.","c":1,"e":[["file","apps/courses/web_search.py:15-28"],["file","brightloom/settings.py:145-146"],["file","cloudbuild.yaml:39-40"],["file","deploy/service.yaml:49-55"],["file","README.md:7-13"],["trace","seq 12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02d","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"inngest","secs":472,"k":"3d0733d3-9cf8-4e8a-a036-c87fcebfe8c5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":45,"picks":[["inngest","p"],["aws-step-functions","r"],["supabase-queues","r"],["trigger-dev","r"],["upstash","r"],["amazon-sqs","m"]],"v":{"r":"The agent selected Inngest to orchestrate background notifications, retries, and waitlist timeouts for the Next.js app on Vercel. It installed the Inngest SDK, configured an Inngest route handler, and created step functions to manage email/SMS notifications and offer expirations. Multiple alternatives (Trigger.dev, Upstash QStash, Supabase Queues, AWS Step Functions) were explicitly evaluated and rejected in trace reasoning and prose.","c":1,"e":[["file","inngest/client.ts"],["file","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":"ai-gateway","wave":3,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-aigw-prompt-c-06","pid":"AIGW-PC-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":259,"k":"3d34726b-74ea-4a6d-b1fe-c5e8374288dd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["cloudflare-ai-gateway","p"],["litellm","m"],["openrouter","m"],["portkey","m"],["vercel-ai-gateway","m"]],"v":{"r":"The agent explicitly selected and implemented an integration with Cloudflare AI Gateway in Go using Cloudflare's REST API endpoint with custom request headers (cf-aig-gateway-id, cf-aig-collect-log, cf-aig-skip-cache) to generate conversation summaries.","c":1,"e":[["file","internal/summary/cloudflare.go:28-60"],["file","README.md:20-25"],["trace","seq 10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"obs-traces-b2b-subscriptions","pid":"OBS-TRACE-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"grafana","secs":286,"k":"3d4d9ed0-486a-4def-a0e8-3111798db54a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":40,"picks":[["grafana","p"],["honeycomb","m"],["opentelemetry","m"],["datadog","r"],["prometheus","m"]],"v":{"r":"The run implemented direct OTLP trace and metric export using OpenTelemetry JS SDK targeting Grafana Cloud, and authored complete Terraform configuration in `ops/grafana/alerts.tf` for Grafana Cloud alerting and email notifications.","c":1,"e":[["file","ops/grafana/alerts.tf:1-142"],["file","README.md:8-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"supabase","secs":391,"k":"3d68557e-3072-4b0e-b9d0-7bb4a78bf0ea-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":56,"picks":[["supabase","p","b"]],"v":{"r":"The user requested an in-app class chat solution that is simple to manage. The agent chose and implemented the solution using the pre-existing Supabase setup, utilizing a new `class_messages` table and Supabase Realtime subscriptions with RLS policies, avoiding introducing an external communication vendor.","c":1,"e":[["file","supabase/migrations/0003_class_chat.sql"],["file","app/classes/[id]/chat/ClassChat.tsx"],["file","lib/supabase/client.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":2,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"k6","secs":357,"k":"3d806ade-4397-4f30-b314-2f79a70d81a2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["k6","p"],["benchmarkdotnet","m"],["hyperfine","m"]],"v":{"r":"The agent explicitly chose and configured Grafana k6 to run as a blocking performance regression gate in the GitHub Actions workflow (.github/workflows/ci.yml) against a dedicated PostgreSQL service, writing k6 test scripts and thresholds in performance/work-orders.js. BenchmarkDotNet and hyperfine were only mentioned during initial reasoning.","c":1,"e":[["file",".github/workflows/ci.yml"],["file","performance/work-orders.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["k6"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"voice-agents","wave":7,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-telephony-claims","pid":"VAGT-TELEPHONY-CLAIMS-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":382,"k":"3d96d99b-fcfb-4d20-9139-4d7136b1c6c3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":71,"picks":[["livekit-agents","p"],["openai-realtime","m"],["twilio-conversationrelay","m"],["vapi","a"]],"v":{"r":"The agent evaluated several voice agent platforms against constraints requiring an existing carrier/SIP trunk connection, live Rails API integration, permissions, write confirmation, and warm handoff. It proposed LiveKit Agents, received user approval, and implemented the full voice worker using `livekit-agents` alongside Rails authentication and status proposal controllers.","c":1,"e":[["file","voice_agent/requirements.txt:1"],["file","voice_agent/agent.py:1-148"],["file","voice_agent/dispatch.py:1-29"],["file","README.md:31-59"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-stor-prompt-b-01","pid":"STOR-PB-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-cloud-storage","secs":252,"k":"3defbce6-8eda-4f56-b53d-7b927ea8a868-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":57,"picks":[["google-cloud-storage","p","b"],["amazon-s3","r"]],"v":{"r":"The agent evaluated the project's existing GCP/Cloud Run infrastructure and explicitly recommended and implemented Google Cloud Storage (GCS) using the pre-configured private media bucket, rejecting Amazon S3 as redundant.","c":1,"e":[["file","brightloom/settings.py:114-118"],["file","apps/courses/views.py:12-40"],["file","apps/courses/tasks.py:4-24"],["file","docs/course-materials.md:1-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-storage"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"databases-senior-report-builder","pid":"DB-4a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"scaleway-managed-database-postgresql","secs":302,"k":"3e109237-ff75-491a-a63d-4137ce1cc445-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":46,"picks":[["scaleway-managed-database-postgresql","p"],["neon","m"],["supabase","r"],["postgres","m"]],"v":{"r":"The agent selected Scaleway Managed Database for PostgreSQL as the primary database solution to fulfill EU residency requirements and handle structured run tracking with JSONB querying, writing migrations, app integration, validation, and documentation for it.","c":1,"e":[["file","src/config.ts:13-36"],["file","src/runs.ts:8-45"],["file","migrations/001_report_runs.sql:1-16"],["file","README.md:5-28"],["file",".env.example:5-6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["scaleway-managed-database-postgresql"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e4-sablecrest","pid":"CDNY-E4-SABLECREST-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":1160,"k":"3e389630-d57b-4ded-b3ad-b4d6b907f95f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":174,"picks":[["langgraph","p"],["daytona","c"],["modal","m"],["mastra","r"],["deep-agents","m"],["langchain","m"],["openai-agents-sdk","m"]],"v":{"r":"The agent explicitly designed and implemented a standalone agent worker using LangGraph (and LangChain/DeepAgents) for graph execution, checkpoint persistence in PostgreSQL, and approval interrupts, coupled with Daytona for remote sandboxed code execution. Alternatives (Mastra, Temporal, Inngest, Modal) were compared and dismissed during deliberation.","c":0.95,"e":[["file","package-lock.json"],["file","docs/slack-agent.md"],["trace","24"],["file","package-lock.json"],["file","docs/slack-agent.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona","langgraph"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e1-sablecrest","pid":"CDNY-E1-SABLECREST-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":1092,"k":"3e4dfaa4-ed81-41bb-b9aa-39415845651b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":120,"picks":[["temporal","p"],["vercel-ai-sdk","c"],["langgraph","m"],["vercel-workflow","a"],["restate","r"],["trigger-dev","r"]],"v":{"r":"The agent explicitly recommended and fully implemented Temporal using the TypeScript SDK (@temporalio/workflow, @temporalio/activity, @temporalio/worker, @temporalio/client) deployed on a dedicated Fly worker to orchestrate durable supplier reassessments and long-running human approval gates. Vercel AI SDK was implemented alongside it for multi-model execution. Alternative workflow runtimes (Vercel Workflows, Restate, Trigger.dev, Inngest) were compared and rejected.","c":0.98,"e":[["file","package-lock.json"],["file","lib/reassessment/workflow.ts:1-45"],["file","scripts/reassessment-worker.ts:1-50"],["file","fly.reassess.toml:1-23"],["trace","seq 24"],["file","package-lock.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"sk":1,"theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-22","repo":"stockroom-receiving","variant":"base","family":"ocr-stockroom-receiving","pid":"OCR-STOCKROOM-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":168,"k":"3ea8f329-ad86-4570-89b7-30fcaeeb8936-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":29,"picks":[["google-document-ai","p"]],"v":{"r":"The agent evaluated several cloud OCR solutions and selected Google Cloud Document AI Custom Extractor, adding the @google-cloud/documentai package and implementing DocumentAiPackingSlipExtractor.","c":1,"e":[["file","package.json:1"],["file","src/document-ai.js:1-45"],["file","README.md:3-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"opencell","secs":318,"k":"3f2de927-3b79-4280-bf0e-8d0ccc9e1dc9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":42,"picks":[["opencell","p"],["kill-bill","r"],["lago","r"],["openmeter","r"],["oracle-brm","r"]],"v":{"r":"The agent explicitly recommended Opencell as the usage rating, mediation, and invoicing system of record to resolve late-arriving CDR adjustments, family pool draws, roaming tariffs, and VAT. It then implemented the mediation staging export and deduplication integration for Opencell in Django, while rejecting alternative billing systems such as Oracle BRM, Kill Bill, Lago, and OpenMeter.","c":0.95,"e":[["file","docs/opencell-integration.md"],["file","billing/management/commands/export_opencell_cdrs.py"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opencell"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":261,"k":"3ff10d29-bca4-4230-9c5a-5700c0d94af9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":28,"picks":[["diy","p","d"]],"v":{"r":"The run built its own benchmark comparison suite from scratch in Python rather than adopting an external or third-party performance CI framework. The custom script spawns the application server, takes repeated timing samples, deletes cache keys across iterations, and compares p95 timings between the PR head and base commit worktree in GitHub Actions.","c":1,"e":[["file","benchmarks/contract_summary.py:1-173"],["file",".github/workflows/ci.yml:26-75"],["file","README.md:41-68"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":407,"k":"3ffef8de-0bf1-4340-be83-ea5662ba7da7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":63,"picks":[["google-document-ai","p"],["azure-document-intelligence","r"],["openai-models","r"],["veryfi","r"]],"v":{"r":"The agent compared several document extraction solutions (Google Document AI, Amazon Textract AnalyzeExpense, Azure Document Intelligence, Veryfi, and OpenAI vision models) and selected Google Cloud Document AI's Invoice Parser processor. The agent then installed `@google-cloud/documentai`, wrote client handling in `server/document-ai.mjs`, configured API routing and upload parsing in `server/index.mjs`, added UI review components, and updated `.env.example` and `README.md`.","c":1,"e":[["file","package.json"],["file","server/document-ai.mjs"],["file","server/index.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"evals","wave":3,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-07","pid":"EVAL-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"phoenix","secs":400,"k":"40689875-717b-4e97-804b-33ff31fcd07e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":64,"picks":[["phoenix","p"],["langfuse","r"],["helicone","m"]],"v":{"r":"The agent evaluated self-hosted LLM observability options and recommended Arize Phoenix over Langfuse due to lower operational overhead on self-hosted PostgreSQL infrastructure. Upon confirmation, the agent fully implemented Arize Phoenix instrumentation (arize-phoenix-otel, openinference-instrumentation-anthropic, trace spans in FastAPI/Anthropic client, configuration, and a docker-compose deployment file).","c":1,"e":[["file","deploy/phoenix.compose.yml"],["file","app/observability.py"],["file","pyproject.toml"],["file","tests/test_observability.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["phoenix"],"sk":0,"seam":"Tracing model calls","theme":"Self-hosting, privacy or residency"},{"cat":"voice","wave":1,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"voice-transcription-field","pid":"VOICE-STT-FIELD-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"deepgram","secs":190,"k":"40d49fd2-2a32-4b6b-b8d0-a60a167aefc0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["deepgram","p"],["azure","a"],["openai","m"]],"v":{"r":"The agent evaluated Deepgram Nova-3 and Azure AI Speech for field recording transcription, explicitly recommended Deepgram, and then fully implemented and tested the Deepgram integration upon user approval.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/DeepgramTranscriptionService.cs"],["file","src/BrackenRidge.FieldOps/Program.cs"],["file","README.md"],["file",".env.example"],["file","tests/BrackenRidge.FieldOps.Tests/DeepgramTranscriptionServiceTests.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deepgram"],"sk":0,"seam":"Field speech-to-text","theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-cloud-workflows","secs":550,"k":"40fba294-d13b-4809-8a0e-17faf36b4ba0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":92,"picks":[["google-cloud-workflows","p"],["celery","r"],["cloud-tasks","r"],["google-pubsub","r"],["python-rq","r"]],"v":{"r":"The agent selected Google Cloud Workflows as the managed orchestration engine, implementing workflow definition files, worker endpoints, and Cloud Build deployment configurations, while explicitly rejecting Google Cloud Tasks, Pub/Sub, and self-hosted queue solutions like Celery and RQ.","c":0.95,"e":[["file","workflows/publish.yaml"],["file","cloudbuild.yaml"],["file","requirements.txt"],["file","web/app/api/publish_worker.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-cloud-workflows"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"parallel","secs":369,"k":"4146fc11-bce5-4c69-bf10-b16c4ec40cbf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":48,"picks":[["parallel","p"],["perplexity-sonar","m"],["tavily","m"]],"v":{"r":"The agent evaluated multiple AI search and research APIs (Parallel, Tavily, Exa, Perplexity Sonar, Anthropic web search), recommended Parallel Task API (`pro`), and fully implemented its client, task schemas, response parsing, and database persistence.","c":1,"e":[["file","app/research.py"],["file","app/main.py"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["parallel"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"search-scale-vibe-classbooking-c","pid":"SEARCH-SCALE-VIBE-CLASSBOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postgres-fts","secs":153,"k":"42036700-2494-44bb-8995-c253dddf76fc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["postgres-fts","p","b"]],"v":{"r":"The project is built on Supabase PostgreSQL. The agent recommended and implemented Postgres's builtin `pg_trgm` extension with GIN trigram indexes and an RPC function (`search_classes`) to enable typo-tolerant class and teacher searches without introducing external search services.","c":0.95,"e":[["file","supabase/migrations/0003_class_search.sql:1-52"],["file","app/page.tsx:28-36"],["file","README.md:23-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stadia-maps","secs":304,"k":"426bc137-b601-4495-972d-f04bdab48b3c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":51,"picks":[["stadia-maps","p"],["google-maps","m"],["mapbox","m"],["maplibre","m"],["geoapify","r"],["maptiler","r"]],"v":{"r":"The run explicitly selected Stadia Maps Standard ($80/month) for geocoding and vector tiles, integrated it via MapLibre GL JS on the frontend and server-side geocoding API in Nitro/Nuxt, and linked to Google Maps for phone navigation without an API key. Other vendors (Geoapify, MapTiler, Mapbox, HERE) were evaluated and rejected.","c":0.98,"e":[["file",".env.example:8"],["file","README.md:75-82"],["file","components/JobMap.client.vue:49"],["file","server/utils/location.ts:28-39"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stadia-maps"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e4-bramwick","pid":"CDNY-E4-BRAMWICK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langgraph","secs":646,"k":"426cac3d-6920-42dd-b464-6ef93d7bf62b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":96,"picks":[["langgraph","p"],["openai-agents-sdk","r"],["deep-agents","m"],["e2b","m"],["langchain","m"]],"v":{"r":"The agent explicitly evaluated several agent runtimes and orchestration frameworks (LangGraph, Temporal, OpenAI Agents SDK) before choosing LangGraph. 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It authored a custom schema (`ticket_jobs`), custom polling and leasing logic with `FOR UPDATE SKIP LOCKED` in `scripts/ticket-worker.ts`, and configured a Fly.io worker process group in `fly.toml`.","c":0.95,"e":[["file","migrations/003_postgres.sql:23-33"],["file","scripts/ticket-worker.ts:1-100"],["file","fly.toml:11-14"],["file","app/db.server.ts:60-61"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Deployment-constrained production workers","jobq":"Custom PostgreSQL queue","jobrt":"Fly Machines worker","theme":"Portability, no lock-in"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e4-cedarline","pid":"CDNY-E4-CEDARLINE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":878,"k":"447f9ab0-e914-4d71-914f-d41c15e16cc9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":97,"picks":[["langchain","p"],["langgraph","p"],["modal","m"],["openai-agents-sdk","r"],["deep-agents","m"]],"v":{"r":"The agent built a dedicated Python agent service implementing LangChain (`create_agent`, middleware, tool runtime) and LangGraph (`PostgresSaver`, interrupts, checkpoints) for the claims desk Slack agent. It evaluated and documented rejections/alternatives for Temporal, Inngest, and OpenAI Agents SDK.","c":0.95,"e":[["file","agent_service/requirements.txt:1-2"],["file","agent_service/graph.py:5-7"],["trace","seq:23"],["file","agent_service/requirements.txt:3"],["file","agent_service/worker.py:5-6"],["trace","seq:23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langchain","langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"srvl-senior-fieldservice-saas-billing","pid":"SRVL-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-functions","secs":259,"k":"44838be9-72ba-4208-8a96-c481ce5a448d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":27,"picks":[["vercel-functions","p"]],"v":{"r":"The agent configured Vercel Functions and Vercel Cron to implement the scheduled serverless function for daily invoice reminders, adding a `vercel.json` cron configuration and a Nuxt server API endpoint.","c":1,"e":[["file","vercel.json"],["file","README.md"],["file","server/api/cron/invoice-reminders.get.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maplibre","secs":264,"k":"44d4754f-358c-4204-91d5-1aa3619d9a61-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["maplibre","p"],["maptiler","c"]],"v":{"r":"The run adopted MapLibre GL JS as its map rendering library and paired it with MapTiler for hosted vector basemap tiles. UN/LOCODE coordinates were resolved on the server using the official UNECE dataset.","c":0.95,"e":[["file","README.md"],["file","apps/web/app/shipments/shipment-map.tsx"],["file","README.md"],["file","apps/web/app/shipments/shipment-map.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":3,"date":"2026-09-22","repo":"delivery-proof-service","variant":"base","family":"ocr-delivery-proof","pid":"OCR-DELIVERY-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":362,"k":"4519fd53-e06c-43ab-8b58-49501d20c1b2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":41,"picks":[["amazon-textract","p"],["azure-document-intelligence","r"]],"v":{"r":"The agent explicitly recommended and implemented Amazon Textract via `@aws-sdk/client-textract` to perform document field extraction on proof-of-delivery photos within an S3/SQS worker architecture.","c":1,"e":[["file","package.json"],["file","src/aws-adapters.js"],["file","src/processor.js"],["file","README.md"],["file","test/aws-adapters.test.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":617,"k":"45589264-c19c-4f74-9ae7-95dadf5340f1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":78,"picks":[["diy","p","d"],["coderabbit","r"],["qodo","r"]],"v":{"r":"The run opted to build a custom, in-house PR review solution (`azure-pr-review.yml`, `tools/pr_review/review.py`, and `tools/pr_review/gateway.py`) that interacts directly with Azure DevOps PR threads and local vLLM inference to strictly meet EU data residency and CAB compliance requirements instead of adopting a commercial third-party code review bot.","c":0.98,"e":[["file","azure-pr-review.yml"],["file","tools/pr_review/review.py"],["file","tools/pr_review/gateway.py"],["file","docs/pr-review.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-22","repo":"express-clinic-roster","variant":"base","family":"databases-junior","pid":"DB-2a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":227,"k":"45e896f7-ce7d-479c-9a20-78143b66f607-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["neon","p"],["supabase","m"],["sqlite","r"],["postgres","m"]],"v":{"r":"The agent explicitly evaluated and recommended Neon as the hosted database product for the project, implemented PostgreSQL migrations, schema, and connection pooling using `pg`, and documented Neon connection string configuration.","c":1,"e":[["file","README.md:15-28"],["file","package.json:10-18"],["file","src/store.js:4-10"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"next-intl","secs":505,"k":"4641133b-2b60-498b-973c-fe7c9bae8625-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":85,"picks":[["next-intl","p"]],"v":{"r":"The agent explicitly recommended and installed next-intl as the internationalization solution for Next.js App Router, configuring locale routing, message catalogs for English, Spanish, and Brazilian Portuguese, and adding automated translation validation.","c":1,"e":[["file","package.json"],["file","next.config.ts"],["file","i18n/request.ts"],["file","i18n/routing.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"voice-narration-self-hosted","pid":"VOICE-TTS-SELFHOST-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"piper","secs":224,"k":"465e7564-9e97-4d4d-99e2-c2cf4dd12494-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["piper","p"],["kokoro","m"],["parler-tts","m"],["coqui","r"]],"v":{"r":"The agent explicitly recommended, configured, and integrated Piper (using the fr_FR-siwis-medium ONNX voice model and piper-tts CLI) to generate static narration audio for French administrative procedures within the CI pipeline and serve it via an authenticated Symfony endpoint.","c":1,"e":[["file",".gitlab-ci.yml:46-58"],["file","bin/generer-narrations.php:1-56"],["file","docs/narration.md:1-50"],["file","src/Service/NarrationCatalog.php:1-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["piper"],"sk":0,"seam":"Self-hosted narration","theme":"Self-hosting, privacy or residency"},{"cat":"search","wave":4,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"search-scale-junior-flask-c","pid":"SEARCH-SCALE-JUNIOR-FLASK-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":212,"k":"467eb2c8-e2cc-40e6-abe2-043cd5bfa8a3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["typesense","p"],["elasticsearch","r"],["meilisearch","r"]],"v":{"r":"The agent evaluated multiple search solutions (Typesense, SQLite FTS, Elasticsearch, Meilisearch, and PostgreSQL pg_trgm) and committed fully to Typesense. It implemented a custom client in `app/search.py` communicating with the Typesense HTTP API, configured Flask routes and CLI commands for searching and reindexing, and provided testing and operational documentation for Typesense Cloud.","c":1,"e":[["file","app/search.py:22-129"],["file","app/__init__.py:20-139"],["file","README.md:25-70"],["file","tests/test_search.py:1-116"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-22","repo":"dotnet-supplier-contracts","variant":"base","family":"esign-junior-enterprise-bexmoor","pid":"SIGN-BEXMOOR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"youtrust","secs":741,"k":"46f78241-821c-49f8-9692-fdff8c8db527-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":83,"picks":[["youtrust","p"],["signaturit","m"],["skribble","m"],["adobe-acrobat-sign","r"],["docusign","r"],["microsoft-esignature","r","b"]],"v":{"r":"The agent evaluated several e-signature vendors against strict EU data processing requirements and the project's constraint against creating guest Entra accounts for external suppliers. It selected YouTrust (formerly Yousign) and implemented full API integration, background workers, webhook handling, and SharePoint filing via Microsoft Graph.","c":1,"e":[["file","src/Bexmoor.Suppliers.Api/Services/YoutrustClient.cs:1-126"],["file","src/Bexmoor.Suppliers.Api/Services/SigningService.cs:1-238"],["file","docs/electronic-signing.md:1-79"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["youtrust"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postmark","secs":269,"k":"476191ba-290c-48ca-8f10-bb6130f51ea2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":49,"picks":[["postmark","p"],["resend","m"]],"v":{"r":"The agent explicitly chose Postmark to send transactional emails via its REST API, added bounce webhook handling, updated .env.example and README.md, and integrated it into user registration.","c":1,"e":[["file","services/email.js:1-60"],["file","routes/postmark.js:1-56"],["file",".env.example:9-12"],["file","README.md:25-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-payments-prompt-c-10","pid":"PAY-PC-10a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":309,"k":"4767cca3-3e61-4eec-990e-aac64f62520e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["stripe","p"],["gocardless","r"],["sumup","r"],["square","r"]],"v":{"r":"The user requested the payment solution with the lowest transaction fee per transaction for a UK workshop booking website. The agent evaluated multiple payment gateways (Stripe, GoCardless, SumUp, Square, PayPal) and recommended Stripe Checkout utilizing Pay by Bank (0.5% + 20p) with card fallback. The user approved this solution, and the agent implemented the complete integration via the `stripe` npm package, Remix action routes, database holding logic, and webhook handling.","c":1,"e":[["file","package.json"],["file","app/payments.server.ts"],["file","app/routes/webhooks.stripe.ts"],["file","app/routes/_index.tsx"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-srvl-prompt-b-08","pid":"SRVL-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-workers","secs":283,"k":"47b62888-ff35-4f85-bd44-fabe4f1a3cde-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["cloudflare-workers","p"],["aws-lambda","m"],["fly","r"]],"v":{"r":"The agent evaluated serverless options and chose Cloudflare Workers with cron triggers to execute the reminder schedule and dispatch emails. It implemented the worker configuration in reminders/wrangler.toml and integrated it with the Fly-hosted app.","c":0.95,"e":[["file","reminders/wrangler.toml"],["file","README.md:31-64"],["file","package-lock.json:25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-workers"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e1-lumen","pid":"CDNY-E1-LUMEN-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":1055,"k":"48362169-3d23-4773-92fb-0ecaf25afdb1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":144,"picks":[["trigger-dev","p"],["vercel-ai-sdk","c"],["vercel-workflow","a"],["langgraph","r"],["e2b","m"],["mastra","m"]],"v":{"r":"The agent explicitly chose Trigger.dev for workflow orchestration and task execution alongside Vercel AI SDK for model routing and structured outputs. It evaluated and rejected Temporal, Inngest, and LangGraph, noting Vercel Workflow as an alternative.","c":0.95,"e":[["file","trigger/refunds.ts"],["file","trigger.config.ts"],["file","package.json"],["file","lib/ai/refund-agent.ts"],["file","lib/ai/refund-models.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev","vercel-ai-sdk"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"voice-agents-marketplace","pid":"VAGT-MARKETPLACE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":285,"k":"487222fd-ad83-4386-ba38-6c8e9d758838-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":54,"picks":[["vapi","p"]],"v":{"r":"The agent evaluated voice agent providers (specifically Vapi and Retell AI) and committed to Vapi by implementing Rails webhook controllers for Vapi function tool execution, call state verification, and comprehensive setup documentation.","c":1,"e":[["file","app/controllers/voice_tools_controller.rb:1-43"],["file","config/routes.rb:10"],["file","README.md:45-92"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"opensearch","secs":529,"k":"48758800-1927-4a0a-81d6-6cea9251a674-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":93,"picks":[["opensearch","p"],["elasticsearch","m"]],"v":{"r":"The agent selected OpenSearch as the dedicated search solution to handle high concurrent queries within the project's internal hosting requirements, implementing a custom OpenSearch client, outbox synchronization worker, API search controller, and full Helm StatefulSet definitions for OpenSearch in production.","c":1,"e":[["file","src/Search/OpenSearchClient.php:1-49"],["file","src/Search/DossierSearch.php:1-108"],["file","helm/citizen-portal/templates/search-statefulsets.yaml:1-101"],["file","helm/citizen-portal/values-production.yaml:25-54"]],"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":"observability","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"obs-vibe","pid":"OBS-4b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"uptime-robot","secs":141,"k":"48e6ad12-53f5-4284-9dbd-aaa2a56bfc06-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":23,"picks":[["uptime-robot","p"],["betterstack","r"]],"v":{"r":"The agent explicitly selected and configured UptimeRobot as the monitoring solution for the Next.js/Supabase application, creating a dedicated health endpoint (`app/api/health/route.ts`), an automation script (`scripts/setup-monitor.mjs`) communicating with UptimeRobot's API, and updating the README with setup instructions.","c":1,"e":[["file","scripts/setup-monitor.mjs"],["file","README.md"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["uptime-robot"],"sk":0,"seam":"Error monitoring","theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"cadenya-v1","family":"cadenya-e3-sablecrest","pid":"CDNY-E3-SABLECREST-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langgraph","secs":1294,"k":"4913c865-d9cc-49d6-a0d5-cc1e0abdde31-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":144,"picks":[["langgraph","p"],["deep-agents","m"],["langchain","m"],["speakeasy","m"]],"v":{"r":"The agent selected LangGraph and Deep Agents as the primary agent runtime framework, installing `@langchain/langgraph`, `@langchain/langgraph-sdk`, `@langchain/langgraph-cli`, configuring `langgraph.json`, and writing the agent graph in `lib/agent/graph.mts` with durable interrupts and background server support. Alternative agent orchestration options (Temporal, Vercel Workflow/AI SDK, Mastra, and Inngest) were compared and explicitly rejected.","c":0.98,"e":[["file","langgraph.json"],["file","lib/agent/graph.mts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"Procurement and compliance"},{"cat":"cloud","wave":2,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"bc-clde-prompt-b-05","pid":"CLDE-PB-05b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":602,"k":"493675e4-edbe-49df-b75c-6969e445e6d9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":113,"picks":[["aws","p"]],"v":{"r":"The agent fully implemented cloud storage, messaging, database, and auth integrations using the AWS SDK and provisioned resources via an AWS CloudFormation template.","c":1,"e":[["file","infra/report-stack.yml"],["file","package.json"],["file","src/storage.ts"],["file","src/jobs.ts"],["file","src/queue.ts"],["file","src/auth.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"maps-vibe-clayfern","pid":"MAPS-CLAYFERN-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mapbox","secs":202,"k":"493cfd41-81f9-4f91-9135-b2b9339319b6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":25,"picks":[["mapbox","p"],["google-maps","m"],["maptiler","m"],["leaflet","r"]],"v":{"r":"The agent explicitly recommended and integrated Mapbox's Static Images API via a dedicated studio-location component and documentation updates in the README. It evaluated other mapping alternatives (MapTiler, Leaflet, Google Maps) before committing to Mapbox.","c":1,"e":[["file","app/studio-location.tsx"],["file","README.md"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"semgrep","secs":328,"k":"496af045-43c5-4c62-8347-db32b276cad0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":55,"picks":[["semgrep","p"],["coderabbit","m"],["qodo","m"],["reviewdog","m"],["sonarqube","r"]],"v":{"r":"The run chose Semgrep Community Edition, writing custom static analysis rules in `.semgrep/immutable-journal.yml` and configuring the `immutable-journal-review` CI workflow step in `.github/workflows/build.yml` with telemetry disabled to satisfy EU residency requirements.","c":1,"e":[["file",".github/workflows/build.yml:9-27"],["file",".semgrep/immutable-journal.yml:1-63"],["file","docs/compliance/PR_REVIEW.md:1-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["semgrep"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-auth-prompt-b-14","pid":"AUTH-PB-14a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":283,"k":"499c0211-003f-472d-b1f6-a8ac9f95f996-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":66,"picks":[["workos-authkit","p"]],"v":{"r":"The run chose and implemented WorkOS SSO via the official `workos` Python package to broker SAML and OIDC authentication for district staff while maintaining Django's existing User, StaffAccount, and session 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`README.md`.","c":1,"e":[["file","src/lib/server/email/postmark.ts"],["file",".env.example"],["file","fly.toml"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"deploy","wave":2,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-c-63","pid":"DPLY-PC-63g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":204,"k":"4bef76c1-cb3c-467d-832a-d57426d183d9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":31,"picks":[["render","p"],["cloudflare","m"],["railway","m"]],"v":{"r":"The agent selected Render as the deployment platform for the application. It created a `render.yaml` blueprint configuring a Node.js web service, adapted the Express backend to serve static frontend assets with SPA fallback, and detailed the Render deployment workflow in `README.md`.","c":0.95,"e":[["file","render.yaml:1-16"],["file","README.md:32-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Speed to ship"},{"cat":"product-analytics","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-panl-prompt-b-06","pid":"PANL-PB-06c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":359,"k":"4bf1a6df-093e-4175-8c83-f39d170339f7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":73,"picks":[["posthog","p"],["metabase","m"],["amplitude","r"],["mixpanel","r"]],"v":{"r":"The agent selected and fully integrated PostHog to handle contract lifecycle events. It added the PostHog Python SDK to requirements.txt, implemented event capture hooks in FastAPI routers, wrote a script to automate dashboard and insight generation via the PostHog API, and added documentation on event pricing and configuration.","c":1,"e":[["file","requirements.txt:21"],["file","app/analytics.py:1-49"],["file","docs/analytics.md:1-76"],["file","scripts/create_contract_dashboard.py:1-90"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":667,"k":"4c155acb-b0e9-4883-b78f-320c8355f66b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":80,"picks":[["diy","p","d"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","r"],["rabbitmq","r"],["redis","r"]],"v":{"r":"The user asked for a solution to reliably deliver order events across multiple internal services without losing messages or introducing duplicate sends under tight cost and infrastructure constraints. The agent explicitly rejected third-party message brokers (Amazon SNS/SQS, RabbitMQ, Redis Streams, Kafka) in favor of a native, DIY transactional outbox pattern implemented on top of the repository's pre-existing PostgreSQL database.","c":1,"e":[["file","db/schema.sql"],["file","services/orders/src/outbox.ts"],["file","services/orders/src/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"bc-panl-prompt-c-07","pid":"PANL-PC-07c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"looker-studio","secs":261,"k":"4c2359af-6bac-4adf-93e9-db649c155f13-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":47,"picks":[["looker-studio","p"]],"v":{"r":"The repository was configured to replicate Cloud SQL Postgres data via Datastream into BigQuery, where curated SQL views feed an editable Fleet Overview dashboard specified for Looker Studio (Data Studio).","c":0.95,"e":[["file","analytics/dashboard.md:1-16"],["file","analytics/README.md:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["looker-studio"],"pb":1,"sk":0,"theme":"Fits an existing data stack"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-web-search","secs":615,"k":"4c744460-c475-41b8-ab05-5c1738753ab2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":76,"picks":[["openai-web-search","p"],["apify","m"],["browse-ai","m"],["diffbot","m"]],"v":{"r":"The agent explicitly recommended and implemented the OpenAI Responses API `web_search` tool (`openai-web-search`) to search and rediscover supplier and distributor listings, executing live searches via the `openai` SDK in `src/offers/research.ts`.","c":0.95,"e":[["file","src/offers/research.ts:33-40"],["file","package.json:25"],["trace","23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-web-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"search-scale-enterprise-ts-a","pid":"SEARCH-SCALE-ENTERPRISE-TS-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"opensearch","secs":339,"k":"4c9c4deb-5df7-4dad-becb-b16053b24fa3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["opensearch","p"],["elasticsearch","m"]],"v":{"r":"The run chose OpenSearch (specifically Amazon OpenSearch Service) to meet the scale requirement of 100M records and 10k updates/sec. It implemented OpenSearch index mappings, OpenSearch Ingestion pipeline configuration from Kafka, and a search client endpoint within the inventory service.","c":1,"e":[["file","services/inventory/src/lib/search.ts"],["file","platform/opensearch/inventory-ingestion.yaml"],["file","platform/opensearch/inventory-records-v1.json"],["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":"ai-sre","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"ai-sre-v1","family":"ai-sre-vibe-coder-storefront","pid":"SRE-STOREFRONT-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sentry-seer","secs":379,"k":"4cbec480-ab35-414f-b1c2-5e482da4f79d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":47,"picks":[["sentry-seer","p"],["cleric","m"],["resolve-ai","m"],["traversal","m"]],"v":{"r":"The user asked for a tool that diagnoses failures and automatically creates fixes. The agent recommended Sentry Seer because the project already used Sentry SDKs, then configured the repository's error handling and created detailed instructions for enabling Seer's autofix PR workflow in Sentry settings.","c":1,"e":[["file","docs/monitoring.md"],["file","README.md"],["trace","5"],["trace","16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"aigw-junior-helpdesk-billing-starter","pid":"AIGW-04b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openrouter","secs":202,"k":"4ce37c3b-87a6-4489-b27b-dcf88920df8b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":28,"picks":[["openrouter","p"],["helicone","m"],["portkey","m"],["cloudflare-ai-gateway","r"]],"v":{"r":"The agent explicitly recommended OpenRouter as the hosted AI gateway and directly implemented the client adapter, error handling, configuration options, tests, and documentation using the OpenRouter API.","c":1,"e":[["file","src/drafts.js:1-76"],["file","README.md:25-75"],["file",".env.example:6-12"],["trace","seq:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openrouter"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"upfirst","secs":289,"k":"4d089001-df0a-4c18-9824-c1e1883da56b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["upfirst","p"],["twilio-studio","m"],["synthflow","m"],["goodcall","r"]],"v":{"r":"The agent evaluated multiple voice receptionist options and recommended Upfirst Pro as the primary solution. It implemented dedicated bearer-token authenticated API endpoints in the Remix codebase for Upfirst's Custom Actions (`api.voice.workshops` and `api.voice.bookings`), while documenting the remaining setup (account signup, call forwarding, and transfer destination) as operator configuration.","c":0.6,"e":[["file","README.md:38-65"],["file","app/routes/api.voice.workshops.ts:1-25"],["file","app/routes/api.voice.bookings.ts:1-53"],["trace","6"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["upfirst"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"bc-panl-prompt-c-09","pid":"PANL-PC-09c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metabase","secs":475,"k":"4d5b4b81-6280-488a-a2eb-96035e4b77e8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":57,"picks":[["metabase","p"],["amplitude","r"],["mixpanel","r"],["posthog","r"]],"v":{"r":"The user requested a product analytics solution that works alongside their existing warehouse without creating a second source of truth and allows team members to easily view and edit dashboards. 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The implementation includes saved SQL questions, warehouse DDL views, and an automated Metabase provisioning script.","c":0.95,"e":[["file","scripts/provision-metabase.mjs"],["file","analytics/README.md"],["file","scripts/provision-metabase.test.mjs"],["trace","seq 9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Fits an existing data stack"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":252,"k":"4d83c544-6b36-4607-95eb-3b9de9ce7fbe-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["exa","p"],["diffbot","m"],["newsapi","m"],["newscatcher","m"],["tavily","m"]],"v":{"r":"The agent evaluated multiple AI/web search APIs and recommended Exa Search API for finding public web coverage of firms, highlighting its support for dated passages and snippets. 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Twilio Conversations and Sendbird were investigated as alternatives during messaging vendor selection but not chosen.","c":0.95,"e":[["file","visits/media.py"],["file","visits/static/visits/call.js"],["file","package.json"],["file","README.md"],["file","visits/messaging.py"],["file","careportal/settings.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-chime-sdk-meetings","amazon-chime-sdk-messaging"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-named-discovery-booking","pid":"VAGT-DISCOVERY-BOOKING-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":441,"k":"4e033d68-786f-49b4-9d17-20e168d42c00-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":68,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The user requested recommendations for a phone voice agent to handle class bookings and warm transfers. 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After user approval, the agent implemented the complete integration with Retell AI tool calling, webhooks, signature verification, and documentation.","c":1,"e":[["file","app/api/retell/tool/route.ts"],["file","app/api/retell/webhook/route.ts"],["file","lib/voice.ts"],["file","docs/retell.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"rails-i18n","secs":670,"k":"4e9c76ff-7676-4f35-a263-1c0795b7404c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":111,"picks":[["rails-i18n","p"],["i18n-tasks","c"],["mobility","c"],["globalize","r"]],"v":{"r":"The run adopted a comprehensive Rails internationalization solution: Rails I18n (with the rails-i18n gem) for static interface strings and formatting, Mobility for ActiveRecord listing model translations, and i18n-tasks for CI translation health checks. Globalize was deliberated in reasoning but dropped in favor of Mobility.","c":0.95,"e":[["file","Gemfile"],["file","config/application.rb"],["file","config/locales/en.yml"],["file","config/locales/fr-CA.yml"],["trace","9"],["file","Gemfile"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"express-api","variant":"base","family":"bc-payments-prompt-c-02","pid":"PAY-PC-02a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":311,"k":"4e9d4333-e853-4fb7-9f97-e2125e222f10-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":57,"picks":[["stripe","p"],["square","m"]],"v":{"r":"The agent evaluated payment requirements, recommended Stripe Hosted Checkout, installed the Stripe npm library (`stripe@^19.3.0`), and implemented end-to-end checkout, webhook signature verification, reconciliation, and refund handling.","c":1,"e":[["file","package.json"],["file","services/payments.js"],["file","routes/stripeWebhook.js"],["file","controllers/ticketsController.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"bc-databases-prompt-b-03","pid":"DB-PB-03a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":113,"k":"4f3c6e46-1bb9-495f-9d37-7a05f37b020a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["neon","p"],["sqlite","m"],["postgres","m"]],"v":{"r":"The agent inspected the repository, confirmed that the application is built to use an existing Neon Postgres project via DATABASE_URL, and implemented startup database verification, environment loading fixes, and documentation for persistence with Neon rather than changing database providers.","c":1,"e":[["file","README.md:22-38"],["file","server/db.mjs:1-17"],["trace","final_answer"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01e","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":301,"k":"4f998a10-bed7-40eb-961d-09f7a7b44dcb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":71,"picks":[["azure-document-intelligence","p"],["veryfi","r"]],"v":{"r":"The agent evaluated several document processing vendors (Azure Document Intelligence, Amazon Textract, Google Document AI, Veryfi, Mindee) against the requirements for handwritten tips and cost constraints. It recommended Azure Document Intelligence's prebuilt-receipt model, installed the official SDK, and implemented the full reader integration in the repository.","c":1,"e":[["file","requirements.txt:9"],["file","app/receipts/azure.py:1-103"],["file","app/receipts/read.py:35-49"],["trace","seq:25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-aigw-prompt-c-04","pid":"AIGW-PC-04b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":140,"k":"4fa66902-c03a-4f00-bacd-1f7789981663-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":28,"picks":[["cloudflare-ai-gateway","p"],["litellm","m"],["openrouter","m"],["portkey","m"]],"v":{"r":"The run selected and fully integrated Cloudflare AI Gateway via its REST completions endpoint using Unified Billing, configuring headers for zero data retention, payload logging suppression, and cache bypassing in src/ai-gateway.js and test/ai-gateway.test.js.","c":1,"e":[["file","src/ai-gateway.js:37-59"],["file","README.md:25-50"],["file",".env.example:6-10"],["file","test/ai-gateway.test.js:33-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-devops-agent","secs":458,"k":"4fb0a412-62e2-4bd5-9111-2ca53ce96102-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":70,"picks":[["aws-devops-agent","p"],["resolve-ai","r"],["traversal","r"]],"v":{"r":"The run chose AWS DevOps Agent to handle automated incident investigation from existing CloudWatch alarms, configuring EventBridge API destinations, dead-letter SQS queues, monitoring documentation, and repository-backed skill definitions in Terraform and markdown files.","c":0.95,"e":[["file","ops/monitoring/main.tf:43-148"],["file","ops/monitoring/incident-runbook/SKILL.md:1-24"],["file","docs/monitoring.md:11-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-devops-agent"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"python-sensor-ingest","variant":"base","family":"mq-senior-rimeholt","pid":"MQ-RIMEHOLT-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-kinesis","secs":632,"k":"4fdb8a93-24dc-43cc-a615-61feccd7612a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":98,"picks":[["amazon-kinesis","p"],["amazon-eventbridge","r"],["amazon-msk","r"],["amazon-sns","r"],["amazon-sqs","r"],["redis","r"],["apache-kafka","m"]],"v":{"r":"The agent evaluated multiple streaming and queueing technologies (Amazon Kinesis, SNS+SQS FIFO, SQS Standard, EventBridge, Amazon MSK, and Redis Streams) against requirements for per-unit ordering, independent consumers, and 7-day replay. It committed fully to Amazon Kinesis Data Streams, implementing ingest publishing, independent enhanced fan-out consumer workers, DynamoDB checkpointing, and Terraform provisioning.","c":0.95,"e":[["file","terraform/stream.tf:1-15"],["file","app/stream.py:46-76"],["file","consumers/stream.py:112-205"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"new-relic","secs":423,"k":"4ff0b8fe-e0f3-4484-9abf-f93155c73c4b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":67,"picks":[["new-relic","p"],["datadog","r"],["sentry","r"],["pino","m"]],"v":{"r":"The agent conducted a vendor evaluation comparing New Relic, Datadog, and Sentry, explicitly selecting New Relic. It installed the newrelic package, configured telemetry and agent settings, and wrote a complete Terraform module managing New Relic alert policies, conditions, notification channels, and workflows.","c":1,"e":[["file","package.json:16-18"],["file","apps/api/src/telemetry.js:1-27"],["file","infra/observability/main.tf:4-9"],["file","OBSERVABILITY.md:1-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["new-relic"],"pb":1,"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"code-review-senior-grebe","pid":"CR-GREBE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"coderabbit","secs":162,"k":"50018613-c575-4be0-bc19-8f955fdebfbe-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":38,"picks":[["coderabbit","p"],["qodo","m"]],"v":{"r":"The user requested an automated code review solution for an open-source project. The agent evaluated options, selected CodeRabbit, committed configuration in `.coderabbit.yaml`, and updated `CONTRIBUTING.md` accordingly.","c":1,"e":[["file",".coderabbit.yaml"],["file","CONTRIBUTING.md:37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"jobs-ops-spring-ledger","pid":"JOBS-OPS-SPRING-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":851,"k":"5020dd39-0be7-4755-8c09-6e4bb6948b85-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":107,"picks":[["diy","p","d"]],"v":{"r":"The agent implemented custom background job queue logic directly in PostgreSQL (using a reconciliation_batches migration table with FOR UPDATE SKIP LOCKED batch claiming) and scheduled the worker via a Kubernetes CronJob instead of adopting a third-party background jobs library.","c":0.95,"e":[["file","src/main/java/eu/kontovar/ledger/reconciliation/ReconciliationService.java"],["file","src/main/java/eu/kontovar/ledger/reconciliation/ReconciliationWorker.java"],["file","k8s/base/reconciliation-cronjob.yaml"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"seam":"Deployment-constrained production workers","jobq":"Custom PostgreSQL queue","jobrt":"Kubernetes worker","theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-stor-prompt-b-03","pid":"STOR-PB-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":364,"k":"504a8852-8a6f-42a0-92e6-1faeac0d0029-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":55,"picks":[["amazon-s3","p"]],"v":{"r":"The agent explicitly recommended Amazon S3 to fit the project's existing AWS ECS Fargate and Terraform setup, provisioned the S3 bucket and IAM task policies in Terraform, and implemented S3 presigned upload/download logic using boto3.","c":1,"e":[["file","terraform/documents.tf:3-9"],["file","app/storage.py:16-23"],["file","requirements.txt:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":718,"k":"50b87cd7-e297-43cc-8cc9-4fe5e1ac14f2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["azure-document-intelligence","p"],["abbyy","a"],["convr","a"],["rossum","a"],["google-gemini","m"],["openai-models","m"],["tesseract","m"]],"v":{"r":"The agent conducted a detailed comparison of document processing vendors and committed to Azure Document Intelligence (Form Recognizer) by provisioning Bicep infrastructure, adding C# extraction logic via DocumentIntelligenceExtractor, and configuring the staging/review pipeline.","c":1,"e":[["file","src/Meridian.PolicyCore/LossRuns/DocumentIntelligenceExtractor.cs:18-121"],["file","infra/bicep/modules/loss-runs.bicep:8-18"],["trace","42"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"ai-search-senior-cedarline-e6","pid":"AISRCH-CEDARLINE-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":508,"k":"50f8f9da-85cc-4bff-a9e5-5d276c2ccfdc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":74,"picks":[["exa","p"],["gdelt","m"],["newsapi","m"],["serpapi","m"]],"v":{"r":"The agent selected Exa to search for public reporting on firms, implementing a full integration in app/services/exa_search.rb and app/jobs/firm_research_job.rb with PostgreSQL-backed Solid Queue background processing. Other search APIs (Brave Search API, Tavily, SerpApi, GDELT, NewsAPI.org, and Google Custom Search) were briefly considered or queried during initial research.","c":1,"e":[["file","app/services/exa_search.rb:5-49"],["file","app/jobs/firm_research_job.rb:19-38"],["file",".env.example:4-5"],["file","README.md:38-46"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"payments-senior-fieldservice-saas-billing","pid":"PAY-9b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"paddle","secs":365,"k":"5104d7ee-39b8-4f97-b5f4-910a5c156ebc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":66,"picks":[["paddle","p"],["stripe","a"]],"v":{"r":"The agent evaluated payment solutions for handling EU VAT and selected Paddle Billing as the merchant of record, fully implementing server-side checkout creation, customer portal links, SQLite subscription mirroring, and webhook verification.","c":1,"e":[["file","server/paddle.js"],["file","server/billing-service.js"],["file","server/http.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paddle"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"auth-choice-fieldservice-saas-billing","pid":"AUTH-NS-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"better-auth","secs":290,"k":"513663bc-a9cd-4004-b289-382a91444015-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":68,"picks":[["better-auth","p"]],"v":{"r":"The user requested a non-SaaS/self-hosted authentication solution for a Nuxt workspace application. The agent recommended Better Auth, installed the package, and implemented server-side auth configuration with plugins for TOTP 2FA and organizations along with client-side Vue pages.","c":1,"e":[["file","lib/auth.js:1-63"],["file","lib/auth-client.js:1-6"],["file","README.md:1-22"],["trace","seq:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"lago","secs":597,"k":"5138aaf3-6efe-4b99-9c55-442c4d954f6d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":72,"picks":[["lago","p"],["diy","c","d"],["m3ter","m"],["metronome","m"],["kill-bill","r"],["orb","r"]],"v":{"r":"The agent explicitly recommended self-hosted Lago and proceeded to implement the integration in the codebase. Because it implemented custom per-message rating, operator rate lookup, and prepaid balance reservation in Laravel before publishing dynamic usage events to Lago, this represents a split implementation where Lago is the primary third-party billing platform and the custom pricing engine is reported as co-primary DIY.","c":0.95,"e":[["file","app/Services/Lago.php:1-113"],["file","app/Console/Commands/PublishLagoUsage.php:1-44"],["file","app/Http/Controllers/BillingController.php:1-46"],["file",".env.example:17-19"],["file","README.md:52-127"],["file","app/Services/CustomerPricing.php:1-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lago"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"meilisearch","secs":510,"k":"5140f7c4-720f-4125-baec-f05fa70c2490-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":82,"picks":[["meilisearch","p"],["typesense","r"]],"v":{"r":"The agent evaluated search backends and explicitly selected Meilisearch, installing the PHP SDK (`meilisearch/meilisearch-php`), configuring Laravel Scout with Meilisearch drivers and index settings, updating controller queries to use Scout search, and adding automated deployment and health-check scripts for a self-hosted Meilisearch service on the target VPS.","c":1,"e":[["file","composer.json"],["file","config/scout.php"],["file","deploy/meilisearch/install.sh"],["file","app/Http/Controllers/TicketController.php"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["meilisearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"code-review-vibe-classbooking","pid":"CR-CLASSBOOKING-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"codex-code-review","secs":121,"k":"51acb4b2-4185-4cc8-bf1b-b4c35ec1e706-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":29,"picks":[["codex-code-review","p"],["coderabbit","m"]],"v":{"r":"The agent explicitly recommended and set up Codex Code Review by creating AGENTS.md with booking-specific review rules and updating README.md with PR workflow instructions. CodeRabbit was briefly weighed in internal reasoning as an alternative.","c":1,"e":[["file","AGENTS.md:1-27"],["file","README.md:23-43"],["trace","seq:29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["codex-code-review"],"sk":1,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"twilio-conversationrelay","secs":639,"k":"51be074d-0e2e-4c71-9b5d-391e88dcdc72-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["twilio-conversationrelay","p"]],"v":{"r":"The agent evaluated voice agent tools and chose Twilio ConversationRelay, building out the full integration with TwiML `<ConversationRelay>`, WebSocket session management, caller verification, interruption handling, and transfer callbacks.","c":1,"e":[["file","app/controllers/voice_controller.rb:14-19"],["file","Gemfile:12-14"],["file","README.md:38-47"],["file","app/services/voice/session.rb:15-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio-conversationrelay"],"sk":1,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":904,"k":"523ec2f9-869e-4892-97d2-031e3c2c95f4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":114,"picks":[["temporal","p"],["pg-boss","m"],["trigger-dev","m"],["upstash","m"],["amazon-sqs","r"],["graphile-worker","r"],["inngest","r"],["svix","r"]],"v":{"r":"The agent explicitly recommended Temporal Cloud and implemented a complete Temporal integration across the codebase (installing `@temporalio/*` packages, writing workflows, activities, a new `temporal-worker.ts` script, updating the Fly worker Dockerfile and `fly.toml`, and creating transactional outbox tables and triggers).","c":1,"e":[["file","package-lock.json"],["file",".env.example:32"],["file","Dockerfile.worker:14"],["file","lib/workflows.ts:1"],["file","lib/workflow-activities.ts:1"],["file","scripts/temporal-worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"qodo","secs":269,"k":"5288ced0-3025-44db-9bf9-c235fb46f094-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":51,"picks":[["qodo","p"]],"v":{"r":"The run evaluated automated code review options for an internal GitLab instance with strict airgap/data residency constraints. 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It integrated Auth0 JWT verification via the jose library, configured JWKS retrieval, issuer and audience checks, and scoped route protection across the inventory and reservation endpoints.","c":1,"e":[["file",".env.example:8-10"],["file","README.md:49-67"],["file","services/inventory/src/lib/auth.ts:10-43"],["file","services/inventory/src/server.ts:12-16"],["file","services/inventory/test/auth.test.ts:1-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"oc":["auth0","keycloak","microsoft entra id"],"theme":"Procurement and compliance"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e1-hollowgate","pid":"CDNY-E1-HOLLOWGATE-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"trigger-dev","secs":667,"k":"571a589a-8cd5-4cff-b96b-4402429d3ba8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":80,"picks":[["trigger-dev","p"],["vercel-ai-sdk","c"],["e2b","r"],["langgraph","r"],["temporal","r"],["langchain","m"],["n8n","m"]],"v":{"r":"The agent explicitly selected Trigger.dev for background durable task execution and human-in-the-loop workflows, complemented by Vercel AI SDK (`ai`, `@ai-sdk/openai`, `@ai-sdk/anthropic`) for multi-model step execution. Alternatives such as Temporal, Inngest, LangGraph, and E2B were explicitly evaluated and rejected with concrete architectural rationales.","c":0.95,"e":[["file","package.json"],["file","trigger.config.ts"],["file","trigger/refunds.ts"],["file","lib/refund-dispatch.ts"],["file","README.md"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-22","repo":"fastapi-tenant-docs","variant":"base","family":"vector-search-senior-enterprise-documents","pid":"VEC-DOCUMENTS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"qdrant","secs":287,"k":"572ce872-1c59-43ca-9088-a241a82f5c7e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":47,"picks":[["qdrant","p"]],"v":{"r":"The agent explicitly chose Qdrant (and documented Qdrant Cloud setup) as the vector search backend, implementing collection initialization, passage indexing, query points retrieval, and tenant filtering in search.py.","c":1,"e":[["file","search.py:1-197"],["file","README.md:2-53"],["file",".env.example:3-5"],["trace","seq:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qdrant"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e4-lumen","pid":"CDNY-E4-LUMEN-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"deep-agents","secs":947,"k":"574449a4-a09a-4c3d-8a6b-74e59e1f9bd3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":132,"picks":[["deep-agents","p"],["langgraph","c"],["modal","c"],["diy","r","d"],["openai-agents-sdk","r"],["langchain","m"]],"v":{"r":"The run explicitly committed to Deep Agents and LangGraph (with PostgreSQL checkpointers) for the core agent worker runtime, and added Modal for isolated sandbox code execution. It evaluated and rejected Temporal, Inngest, OpenAI Agents SDK, and a custom DIY solution in its options comparison.","c":0.95,"e":[["file","agent/graph.ts:1-46"],["file","package.json"],["trace","20"],["file","agent/graph.ts:3"],["file","agent/worker.ts:3"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deep-agents"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-c-65","pid":"DPLY-PC-65g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare","secs":129,"k":"574936ce-33db-4ace-9318-e80edca8039e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":18,"picks":[["cloudflare","p"]],"v":{"r":"The agent evaluated hosting options for the static Astro site, chose Cloudflare Pages, configured the project to support build-time environment variables for deployment, and documented the exact Cloudflare Pages settings in the README.","c":0.95,"e":[["file","README.md:21-38"],["file","astro.config.mjs:5"],["trace","seq:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"pb":1,"sk":0,"theme":"Speed to ship"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-auth-prompt-b-01","pid":"AUTH-PB-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"entra-id","secs":270,"k":"57d0acc5-0e81-4c50-93e9-2c6b2741c237-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":47,"picks":[["entra-id","p"]],"v":{"r":"The run recommended and fully integrated Microsoft Entra ID single-tenant authentication into the ASP.NET Core API using Microsoft.Identity.Web, updating project dependencies, application authorization policies, Bicep infrastructure parameters, and documentation.","c":1,"e":[["file","src/Northmere.Billing.Api/Program.cs"],["file","infra/main.bicep"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"bc-panl-prompt-c-08","pid":"PANL-PC-08c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metabase","secs":455,"k":"57da98b7-953e-4183-bc20-e75b4a7824c3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["metabase","p"],["matomo","r"],["plausible","r"],["posthog","r"],["umami","r"]],"v":{"r":"The agent selected Metabase as a self-hosted analytics solution to visualize event data stored in Postgres. It implemented product event tracking in Drizzle, created a Docker Compose file for Metabase, added deployment documentation, and wrote an automated setup script to provision starter dashboards.","c":0.95,"e":[["file","deploy/metabase.compose.yml:1-32"],["file","scripts/setup-metabase.ts:1-65"],["file","deploy/README.md:1-89"],["file","README.md:96-106"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metabase"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-gateway","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-aigw-prompt-c-07","pid":"AIGW-PC-07b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-bedrock","secs":314,"k":"57dab3c8-1ca5-418d-8f97-b91082b3ac2d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":65,"picks":[["amazon-bedrock","p"],["portkey","m"],["openrouter","r"]],"v":{"r":"The user requested an AI gateway recommendation for contract summarization. The agent analyzed the AWS ECS stack, recommended Amazon Bedrock to keep data within the existing cloud boundary, and fully implemented the integration with boto3 Converse API, an ECS worker, and Terraform IAM policies.","c":1,"e":[["file","app/ai_summaries.py"],["file","terraform/ecs.tf"],["file","requirements.txt"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-bedrock"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"obs-senior","pid":"OBS-6c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"solid-errors","secs":207,"k":"57dbc231-b79b-4df9-9230-d918b63c83ad-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["solid-errors","p"]],"v":{"r":"The run evaluated self-hosted error tracking options for a Rails application with Postgres, selected the Solid Errors gem, installed and configured it, created the database migration, mounted the engine dashboard at `/errors`, and configured required SMTP error alert delivery in production.","c":1,"e":[["file","Gemfile:13"],["file","config/environments/production.rb:10-17"],["file","config/routes.rb:2"],["file","db/migrate/20260922120000_create_solid_errors.rb:1-22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["solid-errors"],"sk":0,"seam":"Error monitoring","theme":"Self-hosting, privacy or residency"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-panl-prompt-c-05","pid":"PANL-PC-05c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mixpanel","secs":428,"k":"57eb128a-ace2-4221-835b-4b6bd2bec109-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":79,"picks":[["mixpanel","p"],["amplitude","m"],["posthog","m"],["datadog","m"]],"v":{"r":"The agent explicitly recommended and integrated Mixpanel for product analytics, implementing an asynchronous Kafka consumer worker importing events to the Mixpanel Import API and detailing the Mixpanel Board dashboard configuration.","c":1,"e":[["file","services/checkout/src/analytics/mixpanel.ts"],["file","services/checkout/src/analytics/worker.ts"],["file","docs/checkout-analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mixpanel"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"deploy","wave":3,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"bc-dply-prompt-e-61i","pid":"DPLY-PE-61i","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel","secs":380,"k":"58204cee-9c90-435d-b34f-ab5b40733b2e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":42,"picks":[["vercel","p"]],"v":{"r":"The user asked for an automated deployment setup with PR preview URLs and straightforward rollbacks for a Next.js application. The agent evaluated options and committed to Vercel, adding a dedicated Vercel build script, gitignore entries, and deployment documentation.","c":1,"e":[["file","docs/deployment.md:1-70"],["file","scripts/build-vercel.mjs:1-18"],["file","package.json:8"],["file",".gitignore:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":633,"k":"58487ec8-1a8c-4fd6-8037-a47e6c57acdf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":91,"picks":[["brave-search","p"],["perplexity-sonar","m"],["mistral-web-search","r"]],"v":{"r":"The agent evaluated several search providers, rejected Mistral's built-in web search due to regional EU endpoint limitations and API incompatibilities, and implemented Brave Search API across the codebase.","c":0.95,"e":[["file","internal/recherche/recherche.go"],["file","internal/config/config.go"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"bc-search-prompt-c-04","pid":"SEARCH-PC-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"algolia","secs":361,"k":"58f09ceb-172f-4fdc-87b0-eb17da1692f8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["algolia","p"]],"v":{"r":"The agent explicitly recommended Algolia and implemented the integration using the official Algolia Go SDK v4 (`github.com/algolia/algoliasearch-client-go/v4`), providing search API endpoints and an outbox worker to synchronize records from Cloud SQL.","c":0.99,"e":[["file","go.mod:8"],["file","internal/searchindex/client.go:1-148"],["file","internal/httpapi/search.go:1-51"],["file","README.md:31-64"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-22","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"struct-ai","secs":147,"k":"59c74d1c-4795-435b-a70c-783de0fdbd64-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":27,"picks":[["struct-ai","p"],["resolve-ai","m"],["rootly-ai-sre","m"],["sentry-seer","m"]],"v":{"r":"The run evaluated several AI SRE tools to investigate alerts and create fix pull requests against existing Loki logs and code. It selected Struct Pro for its pricing fit ($200/month for 25 investigations) and compatibility with existing Grafana Cloud Loki and GitHub setups, documenting setup procedures in docs/monitoring.md.","c":1,"e":[["file","docs/monitoring.md:15-27"],["trace","18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["struct-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-stor-prompt-b-06","pid":"STOR-PB-06a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":241,"k":"5a3b9f5f-3c27-437e-8b85-c95eab628277-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":23,"picks":[["amazon-s3","p"],["cloudflare-r2","m"],["supabase-storage","m"]],"v":{"r":"The agent unambiguously recommended and installed Amazon S3 client SDKs (@aws-sdk/client-s3, @aws-sdk/s3-presigned-post, @aws-sdk/s3-request-presigner), implemented private upload/download signing in src/aws-attachments.js, and documented its setup in README.md.","c":1,"e":[["file","package.json:1"],["file","src/aws-attachments.js:1"],["file","README.md:28"],["trace","Implemented private ticket attachments with S3 storage, Cognito access-token verification, and DynamoDB-backed workspace, ticket, and attachment records."]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"cadenya-v1","family":"cadenya-e3-kesterly","pid":"CDNY-E3-KESTERLY-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langgraph","secs":824,"k":"5a4d098d-8fdd-4607-8de0-489b58945b15-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":145,"picks":[["langgraph","p"],["temporal","r"],["daytona","m"],["deep-agents","m"],["langchain","m"],["modal","m"]],"v":{"r":"The agent explicitly chose LangGraph (deployed via LangGraph Agent Server using `@langchain/langgraph`), adding configuration files (`langgraph.json`), dependency definitions in `package.json`, graph orchestration in `agent/graph.ts`, and full architectural reasoning. Temporal and Inngest were explicitly compared and rejected in the trace.","c":0.95,"e":[["file","langgraph.json"],["file","agent/graph.ts:2"],["file","package.json"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-22","repo":"fleet-inspection-intake","variant":"base","family":"bc-clde-prompt-c-03","pid":"CLDE-PC-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":262,"k":"5b561086-6643-4295-bb00-05ea2a332eba-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":31,"picks":[["aws","p"],["minio","m"]],"v":{"r":"The run recommended and implemented adapters for Amazon S3 and Amazon SQS using the official AWS SDK for Go v2 (github.com/aws/aws-sdk-go-v2), configuring AWS credentials and services across awsadapter, the worker executable, and README documentation.","c":1,"e":[["file","go.mod:6-10"],["file","awsadapter/s3.go:1-53"],["file","awsadapter/sqs.go:1-72"],["file","README.md:1-31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Portability, no lock-in"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sentry","secs":539,"k":"5b935464-ce54-46ef-a27d-426c7a522b8f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":79,"picks":[["sentry","p"]],"v":{"r":"The run chose and fully integrated Sentry via `@sentry/nextjs`, configuring error capture in `instrumentation.ts`, custom tracing and metrics in Server Actions, and an idempotent automated script to provision alert rules via Sentry's Workflow API.","c":1,"e":[["file","instrumentation.ts"],["file","next.config.ts"],["file","scripts/configure-sentry-alert.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"pb":1,"sk":1,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"auth-choice-saas-analytics-mid","pid":"AUTH-N-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":276,"k":"5c245c56-9521-4eb2-8373-80b2a906c155-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":55,"picks":[["auth0","p"],["clerk","m"]],"v":{"r":"The user requested an auth solution providing MFA, password reset, and Google/GitHub login for dashboard workspace members. The agent recommended Auth0 Universal Login with Organizations, updated the FastAPI backend to validate Auth0 RS256 tokens against JWKS, and added Postgres organization mapping tables.","c":1,"e":[["file","shared/tenancy.py:38-78"],["file","docs/dashboard-auth.md:1-59"],["file","shared/config.py:29-30"],["file","shared/schema.sql:27-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-stor-prompt-c-07","pid":"STOR-PC-07a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":214,"k":"5c582a53-8652-4354-ad85-a8ace28b8a2e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":44,"picks":[["amazon-s3","p"],["cloudflare-r2","m"],["digitalocean-spaces","m"]],"v":{"r":"The run installed the Flysystem AWS S3 package (`league/flysystem-aws-s3-v3`), configured the S3 disk in `config/filesystems.php`, implemented temporary signed URL generation and upload handling in `TicketAttachmentController`, and documented S3 bucket and IAM permissions in `README.md`.","c":1,"e":[["file","composer.json:12"],["file","config/filesystems.php:13-21"],["file","README.md:14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":284,"k":"5cb82c8d-2c74-4457-a2ef-488aac6e1e1c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["amazon-textract","p"],["azure-document-intelligence","m"],["openai-models","m"]],"v":{"r":"The agent evaluated document extraction solutions and selected Amazon Textract, installing `@aws-sdk/client-textract` and implementing synchronous expense extraction via `AnalyzeExpenseCommand`.","c":1,"e":[["file","package.json:15"],["file","server/extract-bill.mjs:1-91"],["file","README.md:38-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-payments-prompt-b-06","pid":"PAY-PB-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":315,"k":"5cefd659-4bc1-4abd-990f-c10cff088a04-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":55,"picks":[["stripe","p"],["gocardless","r"],["paddle","r"]],"v":{"r":"The agent evaluated payment providers on fees and capabilities, selected Stripe (Checkout + Billing), and implemented a complete integration with SDK installation, API endpoints, webhook handling, and integration tests.","c":1,"e":[["file","package.json:1"],["file","server/billing/service.js:1-127"],["file","server/billing/runtime.js:1-24"],["file","test/stripe-billing.test.js:1-155"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-22","repo":"python-code-tutor","variant":"base","family":"sandboxes-managed-code-tutor","pid":"SBX-MANAGED-TUTOR-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":245,"k":"5d53a48b-5bdf-4b29-b00f-4fef8cad459c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["modal","p"]],"v":{"r":"The run selected Modal, installed the `modal` dependency in pyproject.toml, and fully implemented the remote sandbox execution in northstar/executor.py using Modal Sandbox primitives.","c":1,"e":[["file","pyproject.toml"],["file","northstar/executor.py"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Student and model snippets","theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"ibm-contextforge","secs":435,"k":"5d5a8cd0-62a4-4c46-ab7d-1fa57f2ef70d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":90,"picks":[["ibm-contextforge","p"],["agentgateway","m"],["docker-mcp-gateway","m"]],"v":{"r":"The agent explicitly recommended IBM ContextForge (IBM/mcp-context-forge) to fulfill the task-identity, policy allowlist, and safe audit requirements, and subsequently configured it in `compose.mcp.yml` along with custom policy plugin integration in `gateway/task_policy.py` and `gateway/plugins.yaml`.","c":0.95,"e":[["file","compose.mcp.yml:51"],["file","gateway/plugins.yaml:8"],["file","gateway/task_policy.py:1"],["file","README.md:11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ibm-contextforge"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"bc-panl-prompt-b-04","pid":"PANL-PB-04c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":208,"k":"5d896fc5-eb6b-4e47-8705-234828d68a0c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":36,"picks":[["posthog","p"],["mixpanel","r"]],"v":{"r":"The agent evaluated PostHog and Mixpanel, choosing PostHog Cloud EU as the dedicated third-party product analytics tool. It installed `posthog-node`, configured event capture in the API, added tests, and documented dashboard setup steps in the README.","c":0.98,"e":[["file","package.json"],["file","apps/api/src/analytics.js"],["file","apps/api/src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"docproc3-fieldservice-jobsheets","pid":"DOC3-FIELDSERVICE-01d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":407,"k":"5da82642-f3c7-404d-86db-acacf47e9b3d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":65,"picks":[["google-document-ai","p"],["amazon-textract","a"],["azure-document-intelligence","a"],["openai-models","a"]],"v":{"r":"The agent investigated document extraction options (Google Document AI, Azure Document Intelligence, Amazon Textract, and OpenAI vision models), recommended Google Document AI Custom Extractor 1.5 Pro, and upon user confirmation installed `@google-cloud/documentai` and implemented the complete extraction and verification pipeline in code.","c":1,"e":[["file","package.json"],["file","server/utils/documentAi.ts"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":750,"k":"5e81fb55-199a-4d86-9b56-e52942ab9ef2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":81,"picks":[["azure-document-intelligence","p"],["abbyy","r"],["amazon-textract","r"],["nanonets","r"],["rossum","r"],["openai-models","m"]],"v":{"r":"The agent selected Azure Document Intelligence as the document-processing solution, implementing full API extraction and classification logic (`internal/docs/azure.go`), configuration flags, DB schema adjustments for segmenting, and integration test coverage. Other major vendor solutions (Google Document AI, AWS BDA, Amazon Textract, ABBYY, Rossum, Nanonets) were explicitly evaluated and rejected with detailed trade-offs.","c":1,"e":[["file","internal/docs/azure.go:1-310"],["file","cmd/opsd/main.go:48-60"],["file","docs/azure-documents.md:1-84"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e3-halverstock","pid":"CDNY-E3-HALVERSTOCK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langgraph","secs":1562,"k":"5e8ee6bc-00b7-4f43-b6bc-505601d54560-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":194,"picks":[["langgraph","p"],["e2b","m"],["fastmcp","m"],["spring-ai","r"],["temporal","r"],["langchain","m"]],"v":{"r":"The run chose LangGraph as the agent runtime, implementing a state graph with interrupt/resume capabilities for human approval, checkpointing, and dynamic model routing under `agent/office_agent/graph.py`. It compared and explicitly rejected Temporal and Spring AI due to implementation complexity and missing durable orchestration capabilities.","c":0.98,"e":[["file","agent/langgraph.json"],["file","agent/office_agent/graph.py:215-233"],["file","agent/pyproject.toml:11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"bc-search-prompt-b-06","pid":"SEARCH-PB-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":381,"k":"5ebab325-9b5b-4c93-b914-fdea537a62b2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":61,"picks":[["typesense","p"],["meilisearch","m"]],"v":{"r":"The agent evaluated self-hosted search engines and explicitly recommended Typesense over PostgreSQL pg_trgm. Upon confirmation from the user, the agent implemented the complete deployment configuration (Docker Compose, systemd unit files, health checks, and Terraform infrastructure on GCP) for Typesense.","c":1,"e":[["file","deploy/typesense/compose.yaml"],["file","infra/typesense/main.tf"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"bc-databases-prompt-b-06","pid":"DB-PB-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-sql","secs":301,"k":"5f1fd7e9-5167-4677-ba06-14e370e9093e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":62,"picks":[["azure-sql","p"],["cosmos-db","r"]],"v":{"r":"The agent evaluated database options for an Azure App Service project, specifically recommending Azure SQL Database over Azure Cosmos DB to leverage the AutoPause safeguard on the free tier. It then fully wired Azure SQL Database into Bicep templates, SQL migration scripts, NestJS repositories, and the mssql driver.","c":1,"e":[["file","infra/main.bicep"],["file","src/shared/database.module.ts"],["file","package.json"],["file","sql/schema.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-sql"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-auth-prompt-c-16","pid":"AUTH-PC-16a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":392,"k":"5f431632-312a-4769-b02d-48604997f3e3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":64,"picks":[["workos-authkit","p"],["django-allauth","r"]],"v":{"r":"The agent initially considered django-allauth for OIDC but discarded it in favor of WorkOS when addressing SAML and certificate rotation requirements. It implemented a full integration using the WorkOS standalone SSO API, organization-scoped admin portal links, and local Django identity verification.","c":1,"e":[["file","apps/roster/workos.py"],["file","apps/roster/views.py"],["file","docs/sso.md"],["file","brightloom/settings.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"rails-i18n","secs":481,"k":"5f55f64b-da13-428e-8052-97ae5a2f0a4e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":71,"picks":[["rails-i18n","p","b"],["mobility","c"],["i18n-tasks","m"]],"v":{"r":"The run adopted Rails' built-in I18n framework (supplemented by rails-i18n) for application-wide localization and translation of UI, mailers, and errors. It also adopted Mobility for model-level listing translations and i18n-tasks for CI translation health audits.","c":0.95,"e":[["file","config/application.rb"],["file","app/controllers/application_controller.rb"],["file","config/locales/en.yml"],["file","config/locales/fr-CA.yml"],["file","Gemfile"],["file","config/initializers/mobility.rb"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["rails-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"auth-senior","pid":"AUTH-3b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":330,"k":"5fc67d39-e7f2-423e-ada4-aff9695ddab2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["auth0","p"]],"v":{"r":"The agent selected Auth0 to satisfy the requirements for managed staff authentication, MFA, password reset, and social sign-in (Google/GitHub). It integrated the official Auth0 Express JWT bearer middleware (`express-oauth2-jwt-bearer`) into NestJS guards and updated Bicep infrastructure parameters and repository documentation accordingly.","c":1,"e":[["file","package.json"],["file","src/auth/auth.guard.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"leaflet","secs":336,"k":"5fee02cd-2251-4dd6-8353-f6ef577156a9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":51,"picks":[["leaflet","p"],["maptiler","c"],["maplibre","m"],["stadia-maps","m"],["openstreetmap","r"]],"v":{"r":"The agent selected Leaflet as the client mapping library and MapTiler Cloud as the hosted tile provider, configuring MAPTILER_KEY and embedding Leaflet raster tile layers into fleetd's HTML and JS views.","c":0.95,"e":[["file","internal/httpapi/fleet.html"],["file","internal/httpapi/fleet.js"],["file","README.md"],["file","internal/config/config.go"],["file","internal/httpapi/fleet.go"],["file","internal/httpapi/fleet.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-auth-prompt-b-09","pid":"AUTH-PB-09a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":198,"k":"5fefdab5-6d6a-4d88-83ea-514933c6470d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":28,"picks":[["clerk","p"],["auth0","m"]],"v":{"r":"The agent evaluated managed authentication options and chose Clerk Pro with Organizations. It installed `@clerk/backend`, configured session verification in `src/auth.js`, implemented route authorization and sign-in handling in `src/server.js`, and updated `.env.example` and `README.md`.","c":1,"e":[["file","package.json"],["file","src/auth.js"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"paraglide","secs":439,"k":"5ff1d4bc-411a-4c57-90af-b32a30bbbc61-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":55,"picks":[["paraglide","p"],["typesafe-i18n","m"]],"v":{"r":"The agent chose and implemented Paraglide JS (@inlang/paraglide-js) as the primary internationalization framework, configuring it in Vite, SvelteKit server hooks, message files, and CI checks. Built-in Intl.DateTimeFormat was updated to format times according to the active locale.","c":1,"e":[["file","package.json"],["file","vite.config.ts"],["file","project.inlang/settings.json"],["file","src/hooks.server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paraglide"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"voice-agents-marketplace","pid":"VAGT-MARKETPLACE-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":373,"k":"6082d63e-8238-4126-9a9e-647d10ece637-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":71,"picks":[["vapi","p"],["twilio-conversationrelay","m"]],"v":{"r":"The agent selected Vapi to implement inbound phone-assisted shopping. It wrote a full Rails webhook controller (app/controllers/vapi_controller.rb), accompanying database migrations, mailer flows, phone checkout controllers, documentation, and integration tests to integrate with Vapi's tool-calling and server-message architecture.","c":1,"e":[["file","app/controllers/vapi_controller.rb:1-86"],["file","test/integration/vapi_checkout_test.rb:1-153"],["file","README.md:45-95"],["file",".env.example:16-19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":4,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-b-08","pid":"EVAL-PB-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"promptfoo","secs":449,"k":"60c1dc6d-4fe8-41d2-aa10-db9d2d7d5eb8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":70,"picks":[["promptfoo","p"],["deepeval","a"]],"v":{"r":"The agent evaluated self-hosted evaluation options (specifically Promptfoo and DeepEval) to satisfy the requirement of running on private infrastructure without leaking customer data. Promptfoo was recommended, approved by the user, and implemented via npm dependencies, Python provider wrappers, deterministic assertions, and CI workflows.","c":1,"e":[["file","evals/package.json"],["file","docs/evaluation.md"],["file",".github/workflows/ci.yml"],["trace","8"]],"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-search","wave":4,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":487,"k":"60cf8ba8-dc90-4d63-ae0e-27313a61a267-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":71,"picks":[["brave-search","p"],["azure-bing-grounding","m"],["linkup","m"],["perplexity-sonar","m"],["playwright","m"],["tavily","m"],["serpapi","m"]],"v":{"r":"The agent evaluated several search and extraction APIs (Tavily, Exa, Parallel, Linkup, Perplexity, Bing) and selected Brave Search API. It implemented the integration in `BraveSearchClient.cs`, updated configuration files, Bicep infrastructure templates, deployment pipelines, and documentation.","c":1,"e":[["file","src/Meridian.PolicyCore/Services/BraveSearchClient.cs:1-30"],["file","src/Meridian.PolicyCore/Program.cs:69"],["file","README.md:49-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"express-api","variant":"base","family":"obs-uptime-express-api","pid":"OBS-UPTIME-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"betterstack","secs":173,"k":"60f855b9-da5c-4e9a-b826-53399c6cd8b1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["betterstack","p"]],"v":{"r":"The agent selected and fully configured Better Stack via its Terraform provider (BetterStackHQ/better-uptime) to monitor the public events API with Playwright checks and escalate alerts across severity and policy rules.","c":1,"e":[["file","monitoring/main.tf"],["file","monitoring/.terraform.lock.hcl"],["file","monitoring/public-events.spec.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["betterstack"],"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-22","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":447,"k":"6107517e-e642-4743-a533-d0db290e015d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":62,"picks":[["amazon-textract","p"],["openai-models","r"],["anthropic-claude","m"],["tesseract","m"]],"v":{"r":"The agent evaluated several document processing vendors (Amazon Textract, Google Document AI, Azure Document Intelligence, and OpenAI vision models) before implementing an opt-in integration with Amazon Textract using @aws-sdk/client-textract with TABLES and LAYOUT analysis.","c":0.99,"e":[["file","package.json"],["file","src/statements/textract.ts"],["file","src/worker.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-auth-prompt-b-08","pid":"AUTH-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":291,"k":"613a5732-f43a-4474-9d08-2f53d3949f27-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":43,"picks":[["diy","p","d"],["arctic","m"],["google-identity","m"],["google-sign-in","m"],["openid-client","m"]],"v":{"r":"The agent chose not to adopt an external hosted authentication platform or turnkey framework (such as Auth0, Clerk, or Better Auth), opting instead to write a custom server-side OpenID Connect authorization-code flow with PKCE and nonce validation using openid-client on top of the repository's existing SQLite session and user model.","c":0.95,"e":[["file","src/lib/server/google.ts"],["file","src/routes/login/google/+server.ts"],["file","src/routes/login/google/callback/+server.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":7,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":537,"k":"61a38b35-a385-42b6-a17f-269e53b755a1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":71,"picks":[["retell-ai","p"],["livekit-agents","r"],["vapi","r"]],"v":{"r":"The agent evaluated hosted voice agent solutions against the user's constraints, recommended Retell AI, received user approval, and implemented a full Go integration with outbound dialing, webhook handling, and cryptographic signature verification.","c":1,"e":[["file","internal/retell/retell.go"],["file","cmd/retell-call/main.go"],["file","docs/retell.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":925,"k":"62148017-8d91-4ce0-836a-f9d56efaba05-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":125,"picks":[["django-i18n","p","b"],["weblate","c"],["django-parler","m"],["gettext","m"]],"v":{"r":"The agent committed to a dual-layer internationalization solution: Django's built-in translation framework (gettext catalogs, middleware, template tags, and tasks) for runtime UI and email localization, paired with Weblate as the documented translation management workflow for district translators.","c":0.95,"e":[["file","brightloom/settings.py"],["file","apps/roster/middleware.py"],["file","apps/grading/tasks.py"],["file","templates/base.html"],["file","locale/es/LC_MESSAGES/django.po"],["file","docs/i18n.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n","weblate"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"mcp-gateway-helpdesk","pid":"MCPG-HELPDESK-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-mcp-server-portals","secs":337,"k":"627f5204-da23-4492-93a2-3c671499e338-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":64,"picks":[["cloudflare-mcp-server-portals","p"],["composio","r"]],"v":{"r":"The agent explicitly recommended Cloudflare MCP Server Portals (managed via Cloudflare Zero Trust AI Controls) and implemented full Terraform infrastructure configuration (`infra/mcp/main.tf`, `infra/mcp/variables.tf`), a smoke test suite (`scripts/mcp-smoke.js`), and operational documentation.","c":1,"e":[["file","infra/mcp/main.tf:33-56"],["file","infra/mcp/README.md:1-136"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-mcp-server-portals"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"i18n-junior-kesterly-e2","pid":"I18N-KESTERLY-03c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vue-i18n","secs":505,"k":"62b35238-d768-46c8-9def-0f2ab8b4df10-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":89,"picks":[["vue-i18n","p"]],"v":{"r":"The run evaluated and selected `@nuxtjs/i18n` as the primary localization module for the Nuxt 3 codebase, adding configuration in `nuxt.config.ts`, installing the package and its companion ESLint plugin, and setting up 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It installed `@google-cloud/documentai`, implemented the extraction service and validation schemas, built a dispatcher review workflow, and gated invoice creation on reviewed document checks.","c":1,"e":[["file","package.json:17"],["file","server/utils/jobDocuments.ts:1-53"],["file","server/utils/documentExtraction.ts:1-30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"bc-auth-prompt-b-01","pid":"AUTH-PB-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"entra-id","secs":211,"k":"6302bdec-aa22-42b3-a048-d989b7edff5a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":44,"picks":[["entra-id","p"]],"v":{"r":"The agent followed the architecture guidance outlined in the repository to configure and implement single-tenant Microsoft Entra ID bearer token authentication and scope/role authorization across the ASP.NET Core web API controllers, Bicep templates, and Azure DevOps pipeline.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Program.cs"],["file","infra/bicep/modules/app-service.bicep"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"next-intl","secs":472,"k":"63badf0a-a4e9-4fb1-b0ce-cebec55557b7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":120,"picks":[["next-intl","p"],["crowdin","m"],["formatjs","m"]],"v":{"r":"The run recommended next-intl as the internationalization solution for the Next.js App Router codebase, installed next-intl, refactored application routes under [locale], configured middleware and routing utilities, translated all UI copy, and localized currency formatting. Crowdin was configured for TMS synchronization and FormatJS was added for ICU parser validation.","c":0.95,"e":[["file","package.json"],["file","middleware.ts"],["file","i18n/routing.ts"],["file","next.config.mjs"],["trace","seq:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":385,"k":"64655d52-c5b2-42e9-8068-c92d84068091-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":55,"picks":[["google-document-ai","p"],["anthropic-claude","a"],["google-gemini","a"],["openai-models","a"]],"v":{"r":"The agent explicitly selected, installed (@google-cloud/documentai), and implemented Google Document AI Custom Extractor behind the repository's `StatementReader` interface, with unit tests and operational documentation.","c":1,"e":[["file","package.json:18"],["file","src/statements/document-ai.ts:1-141"],["file","docs/statements.md:75-122"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"evals","wave":1,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"eval-senior-node-ai-report-builder-tracing","pid":"EVAL-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langfuse","secs":306,"k":"6474415d-ed4d-4622-8100-54a0824d5c18-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["langfuse","p"],["opentelemetry","m"]],"v":{"r":"The user requested an LLM observability solution for model call tracing. The agent evaluated options, recommended Langfuse Cloud, and implemented it using `@langfuse/openai`, `@langfuse/tracing`, and `@langfuse/otel` atop OpenTelemetry.","c":1,"e":[["file","package.json"],["file","src/observability.ts"],["file","src/model.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":1,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"stream","secs":551,"k":"647c3664-ad05-45f1-a3aa-fced9bf8e028-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":72,"picks":[["stream","p"],["livekit","m"],["twilio","m"]],"v":{"r":"The user requested an in-app communication solution for job chat and voice calls. The agent recommended Stream Chat and Stream Video, and upon confirmation, installed @stream-io/node-sdk, @stream-io/video-client, and stream-chat, implementing private chat channels, audio call endpoints, outbox retry handling, and access revocation.","c":1,"e":[["file","package.json"],["file","components/JobComms.vue"],["file","server/utils/jobComms.ts"],["file","scripts/stream-setup.ts"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-payments-prompt-b-01","pid":"PAY-PB-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":240,"k":"651406bd-6be1-4d08-b529-613c02c8e8fa-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":24,"picks":[["stripe","p"]],"v":{"r":"The agent proposed Stripe Checkout, received user approval to implement it, installed the official Stripe SDK, and implemented the complete checkout and webhook verification flow.","c":1,"e":[["file","package.json"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-22","repo":"iot-telemetry","variant":"base","family":"usage-based-billing-enterprise-grellan-e4","pid":"UBB-GRELLAN-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":607,"k":"65316a1c-ede7-493c-8625-35de63a4b13a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":90,"picks":[["metronome","p"],["diy","c","d"],["lago","m"],["orb","m"],["stripe-billing","m"]],"v":{"r":"The agent evaluated several usage-based billing products (Orb, Lago, Stripe Billing, Metronome) and recommended Metronome to handle rating, commitments, and invoicing. Upon user approval, it implemented a split solution: a custom Go metering/ledger package on Azure Blob Storage alongside a Metronome client to export aggregated monthly usage.","c":0.95,"e":[["file","internal/metronome/client.go:1-70"],["file","cmd/billing/main.go:90-93"],["file","docs/billing-metering.md:1-132"],["file","internal/billing/billing.go:1-214"],["file","internal/ledger/blob.go:1-145"],["file","functions/enrich/main.go:48-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"bc-dply-prompt-b-61","pid":"DPLY-PB-61g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel","secs":255,"k":"6543666e-1cdd-4ba4-a103-420da7fa638e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":44,"picks":[["vercel","p"],["render","r"]],"v":{"r":"The agent explicitly evaluated hosting options for the Next.js repository, compared Vercel and Render, and committed to Vercel Pro as the deployment host by configuring repository ignores and documenting production deployment, environment variable handling, and function region setup.","c":1,"e":[["file","README.md:8"],["file","README.md:39-60"],["file",".gitignore:6"],["file",".env.example:2-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"document-processing","wave":3,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mistral-ocr","secs":1297,"k":"65af59d5-9a21-42ea-aaf0-45baab903bae-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":170,"picks":[["mistral-ocr","p"],["llamaparse","m"],["pdfjs","m"],["amazon-textract","r"],["docling","r"],["openai-models","m"]],"v":{"r":"The run evaluates several document processing options (Docling, Azure Document Intelligence, Google Document AI, Amazon Textract, Marker, Unstructured, Mistral OCR) and commits fully to Mistral OCR (mistral-ocr-4-1). 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It installed `@google-cloud/documentai`, implemented `DocumentAIReader`, integrated batch processing with GCS, updated configuration, and added tests for evidence anchoring and review.","c":1,"e":[["file","package.json:14"],["file","src/contracts/document-ai.ts:133-193"],["file","src/contracts/read.ts:28-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"datadog","secs":312,"k":"678a8162-7d02-4010-af50-62bb7eed0425-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":46,"picks":[["datadog","p"],["opentelemetry","m"],["sentry","m"],["grafana","r"]],"v":{"r":"The agent explicitly chose Datadog as the single observability platform, installing `datadog` and `ddtrace` in Python, configuring the Datadog Agent sidecar and FireLens log routing in ECS Fargate via Terraform, and defining a `datadog_monitor` for 5xx server errors.","c":1,"e":[["file","requirements.txt:11-12"],["file","Dockerfile:18"],["file","app/observability.py:1-78"],["file","terraform/ecs.tf:140-205"],["file","terraform/observability.tf:1-18"],["file","terraform/main.tf:9-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":438,"k":"678a89f5-a4c8-4f32-8d44-3e90c2e83330-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":86,"picks":[["typesense","p"],["elasticsearch","m"],["meilisearch","m"]],"v":{"r":"The agent explicitly recommended, configured, and implemented Typesense as the production search service. It added the `typesense` Python SDK, created a Docker Compose service and Dockerfile, built index management / search querying logic in `app/search.py`, wired Flask routes, and added test coverage.","c":1,"e":[["file","requirements.txt:6"],["file","compose.yaml:1-22"],["file","deploy/typesense.Dockerfile:1-4"],["file","app/search.py:1-112"],["file","README.md:25-90"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"toolhive","secs":449,"k":"679cefe0-9775-41be-b7f3-6c0f43d8b246-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":71,"picks":[["toolhive","p"],["docker-mcp-gateway","m"]],"v":{"r":"The agent explicitly recommended and implemented ToolHive (Virtual MCP Server) using pinned Kubernetes CRDs, an ArgoCD AppProject, and a dedicated Helm chart configuring OIDC authentication, Cedar access policies, and backend proxy definitions.","c":0.95,"e":[["file","platform/helm/engineering-mcp/templates/resources.yaml:1-131"],["file","platform/argocd/toolhive-bootstrap/crds-eu.yaml:1-14"],["file","docs/engineering-mcp.md:1-104"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["toolhive"],"sk":0,"theme":"Procurement and compliance"},{"cat":"cloud","wave":1,"date":"2026-09-22","repo":"commerce-return-evidence","variant":"base","family":"clde-enterprise-commerce-return-evidence","pid":"CLDE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":127,"k":"6848bd21-baaf-40fe-aac1-53dbad9e8728-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":18,"picks":[["aws","p"],["gcp","m"]],"v":{"r":"The run recommended and implemented adapters for Amazon Web Services using Amazon S3 for object storage and Amazon SQS for message queueing, adding the AWS SDK v3 client dependencies to package.json.","c":1,"e":[["file","package.json"],["file","src/s3-evidence-store.js"],["file","src/sqs-evidence-jobs.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"weblate","secs":427,"k":"6878e86c-3324-48ba-ae48-050ff25cf9bc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":88,"picks":[["weblate","p"],["django-i18n","c","b"],["gettext","m"],["crowdin","r"],["lokalise","r"]],"v":{"r":"The run chose a split implementation: Django's built-in translation framework handles application-level string extraction, catalog loading, and locale switching, while Weblate was recommended and documented as the primary translation management system to be hosted in the project's GCP environment to satisfy student data privacy constraints. Because Weblate's actual server provisioning is left as an operator setup step before production rollout, confidence is capped at 0.6.","c":0.6,"e":[["file","docs/localization.md:32-47"],["file","docs/ferpa.md:27-33"],["trace","17"],["file","brightloom/settings.py:46-52"],["file","brightloom/settings.py:104-113"],["file","brightloom/middleware.py:1-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["weblate"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":278,"k":"688616f6-76e0-4a5a-af94-6350a45af700-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["exa","p"],["perplexity-sonar","m"],["tavily","m"]],"v":{"r":"The agent evaluated web search APIs capable of returning source excerpts and publication dates, explicitly selected Exa, and implemented integration with `https://api.exa.ai/search` using the `EXA_API_KEY` configuration.","c":0.95,"e":[["file",".env.example:5"],["file","lib/donor-research.ts:59-78"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"node-orders-fanout","variant":"base","family":"mq-senior-oakhollow","pid":"MQ-OAKHOLLOW-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":540,"k":"68df7e81-d868-447a-b102-9037f7fedaac-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":77,"picks":[["diy","p","d"],["amazon-eventbridge","r"],["amazon-sns","r"],["amazon-sqs","r"],["apache-kafka","r"],["rabbitmq","r"],["google-managed-kafka","m"],["redis","m"],["redpanda","m"]],"v":{"r":"The agent evaluated external message queue options (RabbitMQ, Kafka, SQS, SNS, EventBridge) and rejected them in favor of implementing a custom transactional outbox and event cursor worker pattern directly in the pre-existing PostgreSQL database.","c":0.95,"e":[["file","db/schema.sql"],["file","services/orders/src/consumer.ts"],["file","services/orders/src/event-log.ts"],["file","docs/architecture.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-22","repo":"healthtech-ehr","variant":"base","family":"bc-mail-prompt-b-05","pid":"MAIL-PB-05a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-communication-services","secs":480,"k":"6904f2b4-4f38-4aad-a6cb-45898a623877-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":103,"picks":[["azure-communication-services","p"],["sendgrid","m"],["smtp","m"]],"v":{"r":"The agent evaluated email delivery options and committed to Azure Communication Services Email by creating the `encounter-notifications` Spring Boot module, integrating `azure-communication-email`, building `AcsEmailSender`, and adding Bicep templates for provisioning ACS Communication and Email services.","c":1,"e":[["file","encounter-notifications/pom.xml:23-27"],["file","encounter-notifications/src/main/java/com/marrowe/notifications/AcsEmailSender.java:13-52"],["file","infra/bicep/modules/notification-email.bicep:1-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-communication-services"],"pb":1,"sk":0,"seam":"Context-heavy production email","theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"node-deployplatform","variant":"base","family":"usage-based-billing-junior-corvane-e4","pid":"UBB-CORVANE-04b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":644,"k":"69367d90-eec3-4c03-b839-762e6f08f942-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":118,"picks":[["metronome","p"],["lago","m"],["orb","r"]],"v":{"r":"The agent evaluated several usage-based billing platforms (Metronome, Orb, Stripe Billing, Lago, OpenMeter) and selected Metronome. It fully implemented Metronome client integration, transactional outbox delivery, signed webhook verification, prepaid balance checks, and local admission guardrails.","c":1,"e":[["file","src/metronome.js:1-50"],["file","src/billing.js:1-271"],["file","src/routes/billing.js:84-114"],["file","docs/metering-notes.md:16-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"mail","wave":2,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-mail-prompt-b-09","pid":"MAIL-PB-09a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postmark","secs":214,"k":"69a1ea31-b79b-421d-aec0-15931972ef0a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":34,"picks":[["postmark","p"],["mailgun","m"],["resend","m"],["loops","m"]],"v":{"r":"The agent evaluated several transactional email services (Postmark, Resend, Mailgun, SendGrid) and recommended Postmark for predictable monthly costs on a few thousand sends. Upon confirmation, the agent fully implemented Postmark via a custom HTTP client (`internal/postmark/client.go`), integrated it into a scheduled worker (`cmd/followups/main.go`), and added configuration and documentation.","c":1,"e":[["file","internal/postmark/client.go:1-82"],["file","cmd/followups/main.go:37"],["file",".env.example:3-4"],["file","README.md:18-28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"Volume and cost at scale"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"bc-search-prompt-c-01","pid":"SEARCH-PC-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"algolia","secs":571,"k":"69b6188a-9f2a-4f3f-8054-9d25cb510fbb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":94,"picks":[["algolia","p"],["opensearch","r"]],"v":{"r":"The user requested a managed search solution for claims and assessment notes. The agent evaluated managed options, recommended Algolia, and fully implemented the Algolia integration including the Ruby SDK dependency, transactional outbox dispatching, index configuration, and search UI.","c":1,"e":[["file","Gemfile:9"],["file","app/services/search_index.rb:1-48"],["file","README.md:31-67"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["algolia"],"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"evals","wave":4,"date":"2026-09-22","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-sol","rep":1,"pick":"promptfoo","secs":371,"k":"69dc31c4-c519-417a-930e-dbf4fc4b1318-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":68,"picks":[["promptfoo","p"],["langfuse","r"]],"v":{"r":"The agent evaluated self-hosted model evaluation frameworks and implemented Promptfoo, configuring a dedicated runner workflow, test definitions, provider adapter, and baseline comparison check. Langfuse was explicitly considered and rejected due to self-hosting infrastructure overhead.","c":1,"e":[["file","eval/config.cjs"],["file","eval/check-baseline.cjs"],["file",".github/workflows/ci.yml"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Self-hosting, privacy or residency"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-srvl-prompt-b-05","pid":"SRVL-PB-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-lambda","secs":368,"k":"6a14bb36-32ff-42fe-a664-b85636a5df1c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":66,"picks":[["aws-lambda","p"],["azure-functions","m"],["google-cloud-functions","m"],["google-cloud-run","m"]],"v":{"r":"The agent evaluated serverless function platforms and explicitly selected and implemented AWS Lambda. It created a SAM template (`deploy/exports.yaml`), a dedicated Go Lambda entrypoint (`cmd/export-lambda/main.go`), build scripts, and integrated the `aws-lambda-go` SDK for SQS dispatch and processing.","c":0.98,"e":[["file","deploy/exports.yaml:61-125"],["file","cmd/export-lambda/main.go:56-77"],["file","go.mod:6-10"],["file","scripts/build-export-lambda.sh:1-5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"portrait-gallery","variant":"base","family":"bc-auth-prompt-b-03","pid":"AUTH-PB-03a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-identity","secs":304,"k":"6a743d59-85d6-4b53-8c43-3f800d81f718-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["google-identity","p"],["google-sign-in","m"]],"v":{"r":"The user requested a solution for Google Sign-In authentication across studio and private client galleries. The agent recommended and implemented Google Identity Services using frontend Google Sign-In and backend verification via `google-auth-library` combined with a local SQLite session store.","c":0.95,"e":[["file","package.json:13"],["file","src/app.js:63-95"],["file","src/server.js:2-27"],["file","README.md:3-8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-identity"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"auth-senior-saas-analytics-mid","pid":"AUTH-15a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":248,"k":"6a84668e-3fb0-4875-a57f-8a696a4ba79d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":56,"picks":[["workos-authkit","p"],["auth0","m"],["clerk","a"]],"v":{"r":"The agent evaluated several managed auth services (Cognito, Clerk, Auth0, WorkOS) and selected WorkOS AuthKit to fulfill requirements for Google/GitHub sign-in, MFA, and workspace-scoped organization JWTs. It implemented WorkOS JWKS verification in `shared/tenancy.py`, backfill provisioning in `scripts/provision_workos_organizations.py`, and documentation in `docs/dashboard-auth.md`.","c":1,"e":[["file","shared/tenancy.py:59-106"],["file","scripts/provision_workos_organizations.py:1-60"],["file","docs/dashboard-auth.md:1-66"],["file",".env.example:21-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"docproc3-benchtop-invoices","pid":"DOC3-BENCHTOP-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-gemini","secs":294,"k":"6ab52ce5-2306-4382-be8b-f9ef7655d5bc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["google-gemini","p"],["openai-models","r"]],"v":{"r":"The agent evaluated multiple document extraction solutions (Google Document AI, Amazon Textract, OpenAI models, and Google Gemini) and implemented an extraction pipeline calling Google Gemini 2.5 Flash-Lite via REST API with a defined JSON schema.","c":0.99,"e":[["file","server/extract.mjs:23"],["file",".env.example:7"],["file","README.md:23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-gemini"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-22","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":894,"k":"6abd517e-811f-41a0-9a12-e1183907b964-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":95,"picks":[["azure-document-intelligence","p"],["nanonets","m"],["rossum","r"],["ocrolus","m"],["openai-models","m"],["veryfi","m"]],"v":{"r":"The agent conducted a market comparison across several document processing platforms (Azure Document Intelligence, Google Document AI, AWS Bedrock Data Automation, AWS Textract, Rossum, Azure Content Understanding) and explicitly implemented Azure Document Intelligence v4.0 with REST API polling and custom model configuration in code.","c":1,"e":[["file","internal/docs/azure.go:21-49"],["file","cmd/opsd/main.go:39-50"],["file","docs/azure.md:1-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"auth-choice-nextjs-storefront","pid":"AUTH-N-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":295,"k":"6ac61e4b-0f74-4b83-a6a6-5f9930050c5a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["clerk","p"],["auth0","m"]],"v":{"r":"The run explicitly chose, configured, and integrated Clerk (`@clerk/nextjs` v6) across the Next.js App Router application, adding middleware, custom sign-in/sign-up route handlers, and server-side route authentication on the checkout API endpoint.","c":1,"e":[["file","package.json:12"],["file","middleware.ts:1-10"],["file","app/layout.tsx:28-34"],["file","app/api/checkout/route.ts:2-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-aigw-prompt-b-05","pid":"AIGW-PB-05b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":221,"k":"6b36eecc-5518-4f3d-9c90-f8974c42c659-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":30,"picks":[["cloudflare-ai-gateway","p"],["portkey","m"],["vercel-ai-gateway","r"]],"v":{"r":"The agent explicitly recommended Cloudflare AI Gateway over Vercel AI Gateway and Portkey to satisfy requirements for hosted response caching and spend limits. 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Because the solution relies entirely on the pre-existing database platform without new services or dependencies, the outcome is classified as builtin.","c":0.95,"e":[["file","supabase/migrations/0003_class_search.sql:1-55"],["file","app/page.tsx:44-51"],["file","README.md:23-26"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"perf-junior","pid":"PERF-2a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":194,"k":"731f7fe0-8b61-4476-a0e5-9af8aa93f579-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":18,"picks":[["diy","p","d"]],"v":{"r":"The agent did not adopt any external performance CI product (such as CodSpeed, Bencher, or github-action-benchmark). Instead, it built a custom comparison script in Go (scripts/perfgate/main.go) driven by Go standard benchmarks and wired into a GitHub Actions workflow.","c":0.95,"e":[["file","scripts/perfgate/main.go:1-86"],["file","internal/telemetry/decode_bench_test.go:1-18"],["file",".github/workflows/performance.yml:1-40"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":544,"k":"734ae530-18f4-417c-8da3-9db4e9f0bfd3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":48,"picks":[["crowdin","p"],["next-intl","p"]],"v":{"r":"The run explicitly chose, installed, and configured both next-intl for Next.js 14 App Router localized routing and UI message rendering, and Crowdin for translation management and proofreading approval via GitHub Actions.","c":0.95,"e":[["file","crowdin.yml"],["file",".github/workflows/translations.yml"],["file","README.md"],["file","package.json"],["file","i18n/routing.ts"],["file","middleware.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["crowdin","next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":2,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-botp-prompt-b-02","pid":"BOTP-PB-02b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"turnstile","secs":208,"k":"7361f436-f895-4e74-9f9a-a55b2859e723-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":37,"picks":[["turnstile","p"]],"v":{"r":"The run recommended and implemented Cloudflare Turnstile server-side verification using Laravel's HTTP client to validate submission tokens against Cloudflare's siteverify API.","c":1,"e":[["file","app/Services/TurnstileVerifier.php:1-43"],["file","app/Http/Controllers/TicketController.php:24-52"],["file","config/services.php:29-32"],["file",".env.example:35-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"bc-search-prompt-c-06","pid":"SEARCH-PC-06a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"opensearch","secs":687,"k":"73f398a3-1bec-415d-9e06-3c84cf8fe8da-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":99,"picks":[["opensearch","p"],["elasticsearch","r"],["meilisearch","r"]],"v":{"r":"The agent explicitly recommended OpenSearch, added the `opensearch-project/opensearch-php` dependency to `composer.json`, implemented `CitizenSearchService`, created dedicated Helm deployment manifests for OpenSearch, and set up a Debezium CDC pipeline syncing PostgreSQL changes into OpenSearch.","c":1,"e":[["file","composer.json"],["file","src/Service/CitizenSearchService.php"],["file","helm/search/opensearch-data.yaml"],["file","docs/recherche-opensearch.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-22","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"lago","secs":688,"k":"740dd804-a17f-407f-9b8c-8f645bfec48b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":63,"picks":[["lago","p"],["diy","c","d"],["m3ter","m"],["openmeter","m"],["metronome","a"],["orb","a"],["stripe-billing","r"]],"v":{"r":"The agent implemented a split architecture: in-house rating, usage tracking, and price snapshotting in PostgreSQL via Prisma, paired with Lago for dynamic billable metric ingestion, subscriptions, wallets/credits, and invoicing. Under the split-implementation rule, the vendor (Lago) is primary with third_party product class, and the DIY component is co_primary with PostgreSQL as a pre-existing substrate.","c":0.95,"e":[["file","src/billing/lago.ts"],["file","src/billing/worker.ts"],["file","docs/usage-billing.md"],["file","src/billing/rating.ts"],["file","src/agents/runner.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lago"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-panl-prompt-c-02","pid":"PANL-PC-02c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":263,"k":"74446ce3-de6e-46fa-b6be-9ef8b6d36d8b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":53,"picks":[["posthog","p"]],"v":{"r":"The agent evaluated the requirement for funnels and team-editable dashboards, selected PostHog, installed `posthog-js` and `posthog-node`, and wired tracking into the Next.js storefront and Stripe webhooks.","c":1,"e":[["file","package.json:15"],["file","lib/analytics-client.ts:3"],["file","lib/analytics-server.ts:1"],["file","README.md:29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"parallel","secs":325,"k":"7466bca7-d741-4275-93ca-29ed88900814-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":47,"picks":[["parallel","p"],["exa","m"],["perplexity-sonar","m"],["tavily","m"]],"v":{"r":"The agent explicitly recommended Parallel's Task, Search, and Extract APIs to fulfill the company research and citation requirements, then implemented and tested `ParallelResearch` in `app/research.py` with configuration in `app/settings.py` and `.env.example`.","c":1,"e":[["file","app/research.py:112-260"],["file",".env.example:3"],["trace","seq:12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["parallel"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-22","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"orb","secs":737,"k":"74a75432-2a5c-42f3-bb87-17157339561c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":96,"picks":[["orb","p"],["lago","r"],["metronome","r"],["openmeter","r"]],"v":{"r":"The user prompt asked for a recommendation and subsequent implementation of a usage-based billing solution that supports token pricing by model, custom contract rates, open-month spend visibility, and spend alerts. The agent selected and implemented Orb across the codebase, building out event ingestion via a transactional outbox, open-month invoice estimation, and webhook-driven spend alerts.","c":1,"e":[["file","docs/orb-billing.md"],["file","src/billing/orb.service.ts"],["file","db/orb-migration.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":2,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-stor-prompt-b-02","pid":"STOR-PB-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-blob-storage","secs":368,"k":"74c5577a-c64f-4278-99bb-d7416911519b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":69,"picks":[["azure-blob-storage","p"]],"v":{"r":"The agent explicitly recommended, provisioned in Bicep, and implemented Azure Blob Storage via Azure.Storage.Blobs SDK for storing and serving bill PDFs.","c":1,"e":[["file","Directory.Packages.props:10"],["file","infra/main.bicep:28-59"],["file","src/Northmere.Billing.Api/Services/InvoiceDocuments.cs:11-75"],["file","src/Northmere.Billing.Api/Program.cs:42-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"voice-agents-insurance","pid":"VAGT-INSURANCE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-voice-live","secs":500,"k":"74de59e2-e78b-4c41-b978-dd74ee0d0c73-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":66,"picks":[["azure-voice-live","p"],["vapi","r"]],"v":{"r":"The agent evaluated voice agent providers against the requirements of Meridian's Azure/.NET stack and selected Azure Voice Live API. It implemented a standalone voice gateway service (`Meridian.PolicyCore.VoiceGateway`) connecting to Azure Voice Live over WebSockets with function calling tools for policy verification and FNOL intake, integrating with Azure Communication Services for call automation.","c":0.95,"e":[["file","src/Meridian.PolicyCore.VoiceGateway/VoiceSession.cs"],["file","src/Meridian.PolicyCore.VoiceGateway/VoiceOptions.cs"],["file","docs/voice-gateway.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-voice-live"],"sk":0,"theme":"Procurement and compliance"},{"cat":"deploy","wave":2,"date":"2026-09-22","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-d-64","pid":"DPLY-PD-64g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":226,"k":"74ebe0ce-167c-4ca3-b5d1-e287ae08a83e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":29,"picks":[["render","p"],["railway","m"],["vercel","m"]],"v":{"r":"The agent explicitly selected Render for deployment, creating a `render.yaml` Blueprint configuration, writing deployment instructions in `README.md`, configuring server-side auth guards specifically for Render, and providing integration tests to verify the deployment setup.","c":1,"e":[["file","render.yaml:1-19"],["file","README.md:28-48"],["file","server/index.mjs:8-10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"No operations burden"},{"cat":"ocr","wave":2,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"ocr-invoices","pid":"OCR-INVOICES-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":336,"k":"74fcd800-3b6c-457d-8d40-d4f75584b922-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":55,"picks":[["azure-document-intelligence","p"]],"v":{"r":"The agent evaluated OCR invoice parsing options, selected Azure AI Document Intelligence with its prebuilt-invoice model, and implemented the full integration in server/azure-invoice.mjs alongside UI review workflows.","c":1,"e":[["file","server/azure-invoice.mjs"],["file",".env.example"],["file","README.md"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"auth-senior-fastapi-saas","pid":"AUTH-14a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":207,"k":"750a0e80-767e-4b53-bae6-ab935d38119b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":55,"picks":[["auth0","p"],["clerk","m"]],"v":{"r":"The agent evaluated several managed authentication services (Auth0, AWS Cognito, Clerk, Supabase) and selected Auth0 because it natively supports both Google and GitHub social logins, MFA, and password resets. The agent then fully implemented Auth0 by updating configuration, database models, token verification via JWKS, and adding a legacy user migration utility.","c":1,"e":[["file",".env.example:5-6"],["file","app/security.py:10-30"],["file","app/routers/auth.py:22-38"],["file","scripts/migrate_auth0_users.py:13-81"],["trace","seq:55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":655,"k":"751ba14e-7e52-4fd3-a3b3-aa4f44c37ad8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":64,"picks":[["diy","p","d"],["inngest","m"],["pg-boss","m"],["trigger-dev","m"],["amazon-sqs","r"],["bullmq","r"],["graphile-worker","r"],["svix","r"],["redis","m"]],"v":{"r":"The agent explicitly recommended and built a custom transactional outbox queue implementation inside PostgreSQL rather than adopting an external message broker or queue library. 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It created Terraform definitions for an SNS FIFO topic and 7 SQS FIFO consumer/dead-letter queues, wrote publisher workers using the AWS SDK, and created consumer workers in Node and Python. Alternative messaging systems (Kafka, EventBridge, RabbitMQ, Redis, Amazon MQ, Amazon MSK) were explicitly analyzed and rejected in trace item 14.","c":0.95,"e":[["file","infra/events/main.tf:32"],["file","services/orders/src/publish-events.ts:60"],["file","infra/events/main.tf:44"],["file","services/notifications/src/consume-events.ts:40"],["file","services/fulfilment/app/consume_events.py:46"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":494,"k":"753e7e80-b15e-44db-a43d-bb909b140ab0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":69,"picks":[["google-maps","p"],["flutter-map","r"],["mapbox","r"]],"v":{"r":"The agent evaluated Flutter mapping solutions and implemented Google Maps Platform across the codebase using `google_maps_flutter`, configuring Android Manifest metadata, iOS AppDelegate setup, xcconfig keys, and UI widgets for rendering polyline routes and live tracking markers.","c":1,"e":[["file","pubspec.yaml"],["file","lib/widgets/walk_route_map.dart"],["file","android/app/src/main/AndroidManifest.xml"],["file","ios/Runner/AppDelegate.swift"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-service-bus","secs":629,"k":"7547a693-0c7b-4491-89d9-7b1e8e577a2e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":107,"picks":[["azure-service-bus","p"],["azure-event-grid","r"],["azure-event-hubs","r"],["azure-storage-queues","r"]],"v":{"r":"The agent explicitly recommended and implemented Azure Service Bus Standard with sessions and topics to handle event dispatch across multiple consumers while evaluating and rejecting Azure Event Grid, Azure Event Hubs, and Azure Queue Storage.","c":0.95,"e":[["file","infra/modules/stock-bus.bicep"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj"],["file","src/Stonebridge.Stock.Api/Events/ServiceBusStockEventSender.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-device-dispatch","pid":"VAGT-DEVICE-DISPATCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":555,"k":"757335a3-276f-4670-a0e3-7a320bf7b961-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":97,"picks":[["livekit-agents","p"],["pipecat","m"]],"v":{"r":"The run explicitly recommended and implemented LiveKit Agents with its Node.js worker and OpenAI Realtime plugin to meet the rugged tablet and reconnection constraints, adding server-side session management and Vue frontend WebRTC integration.","c":1,"e":[["file","agents/technician.ts"],["file","components/VoiceAssistant.vue"],["file","server/api/voice/session.post.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":1,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"resolve-ai","secs":169,"k":"75e8d40b-80b8-4672-96cd-01259d8ec0ae-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["resolve-ai","p"],["incident-io-ai-sre","m"],["traversal","m"]],"v":{"r":"The agent evaluated AI SRE solutions for Cloud Run / Cloud Monitoring and recommended Resolve AI. Upon confirmation, the agent configured read-only GCP IAM service accounts, optional AWS Workload Identity Federation, Cloud Monitoring alert webhook mapping in LiquidJS, and documentation for PR-based remediation.","c":1,"e":[["file","ops/monitoring/main.tf:19-70"],["file","ops/monitoring/resolve-alert.liquid:1-17"],["file","docs/monitoring.md:9-27"],["trace","seq:28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"code-review-vibe-classbooking","pid":"CR-CLASSBOOKING-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"github-copilot-code-review","secs":101,"k":"7643767a-bd17-4181-8638-547c80d334d9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":21,"picks":[["github-copilot-code-review","p"],["qodo","m"],["coderabbit","r"]],"v":{"r":"The agent explicitly recommended GitHub Copilot Pro code review to meet the user's budget and plain-English code review requirements, and implemented `.github/copilot-instructions.md`, `.github/pull_request_template.md`, and README setup guidance.","c":1,"e":[["file",".github/copilot-instructions.md:1-11"],["file",".github/pull_request_template.md:1-9"],["file","README.md:23-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":197,"k":"76f16a0d-630b-4059-a371-2991b17b0497-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["vapi","p"],["retell-ai","r"]],"v":{"r":"The agent evaluated multiple voice agent platforms (Vapi, Retell AI, ElevenLabs Agents, and Bland AI) and selected Vapi. It built dedicated authenticated endpoints for Vapi tools, added idempotent call tracking via Vapi call IDs, and wrote complete integration documentation for connecting Vapi to Twilio and the venue's API.","c":0.95,"e":[["file","docs/voice-agent.md:1-45"],["file",".env.example:9"],["file","routes/voice.js:1-9"],["file","controllers/voiceController.js:1-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"resend","secs":94,"k":"7749218b-8c60-4f58-9be4-69e2e01a81ba-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":25,"picks":[["resend","p"]],"v":{"r":"The agent selected Resend as the transactional email provider, implemented an integration in `services/email.js` using Resend's REST API, updated registration flows and user models to track sent status, and provided configuration documentation and tests.","c":1,"e":[["file","services/email.js:14-25"],["file",".env.example:9"],["file","README.md:30-43"],["trace","seq:8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"e-signature","wave":1,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"esign-junior-marlowe","pid":"SIGN-MARLOWE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"signwell","secs":486,"k":"7838b6a5-820f-4d26-b5ab-3a3f35ba8f35-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":75,"picks":[["signwell","p"],["adobe-acrobat-sign","r"],["docusign","r"],["dropbox-sign","r"]],"v":{"r":"The agent was asked to evaluate and recommend an e-signature solution for tenancy agreements requiring sequential signing. After evaluating DocuSign, Dropbox Sign, Adobe Acrobat Sign, and SignWell, the agent explicitly selected SignWell, and upon user instruction, fully implemented the integration with API client code, webhook verification, storage management, database schema migrations, and tests.","c":0.95,"e":[["file","web/app/services/signwell.py:1-60"],["file","web/app/api/agreements.py:1-198"],["file","tests/test_agreements.py:1-142"],["file","cloudbuild.yaml:83-93"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["signwell"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"dotnet-warehouse-events","variant":"base","family":"mq-junior-enterprise-stonebridge","pid":"MQ-STONEBRIDGE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-service-bus","secs":605,"k":"7869ddb2-4b7d-4341-bbfb-f293e875f55a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":100,"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 run adopted Azure Service Bus Standard with topics and session-based subscriptions, adding the Azure.Messaging.ServiceBus package, Bicep provisioning templates, and background publisher/consumer services. Other messaging alternatives (Azure Queue Storage, Event Grid, Event Hubs, Kafka, RabbitMQ) were explicitly considered and rejected based on capability and operational constraints.","c":1,"e":[["file","infra/modules/stock-bus.bicep:8-36"],["file","src/Stonebridge.Stock.Api/Events/DurableStockEvents.cs:22-60"],["file","src/Stonebridge.Stock.Api/Stonebridge.Stock.Api.csproj:4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-service-bus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apache-kafka","secs":424,"k":"786a32b8-5d48-4e14-830c-18617a86cd67-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":55,"picks":[["apache-kafka","p"],["amazon-eventbridge","r"],["amazon-sqs","r"],["rabbitmq","r"],["redis","r"],["amazon-kinesis","m"]],"v":{"r":"The agent evaluated several message queue and event streaming options against the requirements (strict ordering per account, 30-day replay retention, transactional outbox compatibility, and preference for self-hosting on Kubernetes rather than adding a vendor). It implemented self-hosted Apache Kafka (via Strimzi and Debezium CDC) with full Kubernetes manifests and outbox code, while ruling out RabbitMQ, Redis, Amazon SQS, and Amazon EventBridge.","c":1,"e":[["file","k8s/streaming/kafka.yaml:26-52"],["file","k8s/streaming/topic.yaml:1-17"],["file","docs/streaming/README.md:1-95"],["file","README.md:44-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"newsapi","secs":666,"k":"791bc9e3-fce6-4bc2-916b-7d83a1ee7433-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":51,"picks":[["newsapi","p"],["diffbot","m"],["gdelt","m"],["newscatcher","m"]],"v":{"r":"The agent evaluated news providers and selected NewsAPI.org, writing an ECS scheduled worker that queries `https://newsapi.org/v2/everything` with port and carrier queries and integrating the results into the API and Next.js frontend.","c":1,"e":[["file","apps/api/src/news/worker.ts:133-145"],["file","infra/lib/api-stack.ts:37-39"],["file","README.md:46-59"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["newsapi"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":276,"k":"79434e05-e2a4-49b2-99e2-df9c79eb25e2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":30,"picks":[["diy","p","d"]],"v":{"r":"The agent built a bespoke CI performance regression check using Go's built-in testing benchmark capabilities orchestrated by a custom Python script (`perf/check.py`) comparing HEAD against a baseline worktree revision, rather than adopting a third-party perf-ci tool or SaaS platform.","c":0.95,"e":[["file","perf/check.py"],["file","perf/decode_test.go"],["file",".github/workflows/performance.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"i18n-senior-maplemarket-e2","pid":"I18N-MAPLEMARKET-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":467,"k":"7a539a2d-82c8-40be-8ba3-051ee40c5f17-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":63,"picks":[["rails-i18n","p","b"],["i18n-tasks","c"],["mobility","c"]],"v":{"r":"The run adopted a multi-part internationalization architecture for Rails: built-in Rails I18n augmented with the `rails-i18n` gem for UI copy and locale handling, `mobility` for model/attribute translations in PostgreSQL, and `i18n-tasks` for automated translation health checks in CI.","c":0.95,"e":[["file","Gemfile:6"],["file","config/application.rb:29-31"],["file","app/controllers/application_controller.rb:8-12"],["file","config/locales/en.yml:1-70"],["file","Gemfile:32"],["file","config/i18n-tasks.yml:1-15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18n-tasks","mobility","rails-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"macos-sitelog","variant":"base","family":"maps-senior-larkfield","pid":"MAPS-LARKFIELD-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apple-mapkit","secs":281,"k":"7a8ac58e-4326-4deb-9570-12193e36be82-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":43,"picks":[["apple-mapkit","p","b"],["bluesky","m"],["arcgis","r"],["google-maps","r"],["mapbox","r"],["maptiler","r"],["ordnance-survey","r"]],"v":{"r":"The agent selected and implemented native Apple Maps (MapKit) in the macOS application using MKMapView, MKTileOverlay, and MKMarkerAnnotationView. It configured Bluesky GeoStream as the recommended licensed aerial imagery tile provider via MKTileOverlay, while evaluating and rejecting Google Maps, Mapbox, Esri ArcGIS, MapTiler, and Ordnance Survey.","c":0.95,"e":[["file","Sources/Views/SitePhotoMap.swift:1-253"],["file","README.md:13-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"esign-junior-enterprise-kontovar","pid":"SIGN-KONTOVAR-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"documenso","secs":354,"k":"7a8ddd2e-88d2-4704-b239-97d81a3dce3c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":64,"picks":[["documenso","p"],["opensign","m"],["adobe-acrobat-sign","r"],["docusign","r"],["dropbox-sign","r"]],"v":{"r":"The run specifically evaluated multiple e-signature options against EU data residency and compliance constraints. It selected Documenso for sequential signing and self-hosted deployment on Kubernetes, providing k8s manifests, an automated S3 archival script for signed PDFs and audit certificates, and an operator runbook.","c":0.98,"e":[["file","k8s/signing/documenso.yaml"],["file","scripts/archive_mandate.py"],["file","docs/compliance/MANDATE_SIGNING.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["documenso"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-22","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"daytona","secs":302,"k":"7aba484c-66c7-4eb6-a406-55085b3e7c2c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["daytona","p"],["e2b","r"],["modal","r"]],"v":{"r":"The run evaluated Daytona, Modal, and E2B against the project's sandboxing requirements, chose Daytona, installed @daytona/sdk, and fully refactored src/runner.ts and src/server.ts to execute builds remotely within Daytona Linux VMs.","c":1,"e":[["file","package.json"],["file","src/runner.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daytona"],"sk":0,"seam":"Generated UI project builds","theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"resend","secs":318,"k":"7aba9151-8986-4452-8e14-71c54237de75-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":38,"picks":[["resend","p"],["loops","m"]],"v":{"r":"The agent selected Resend as the sole transactional email provider, integrating its REST API directly in `scripts/email-worker.js` with an outbox queue pattern in SQLite and comprehensive documentation in `README.md`.","c":1,"e":[["file","scripts/email-worker.js:28-44"],["file","README.md:31-52"],["trace","seq:22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"document-processing","wave":2,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docling","secs":602,"k":"7b0406e9-e337-4a81-be99-ee9145ace2bd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":81,"picks":[["docling","p"],["pdfjs","m"],["unstructured","r"],["openai-models","m"],["pdfplumber","m"]],"v":{"r":"The run evaluated several cloud and self-hosted document processing tools against the repository's budget and technical requirements, ultimately selecting and integrating a self-hosted Docling Serve solution with PDF layout, table extraction, and OCR support.","c":0.95,"e":[["file","src/ingest/docling.ts"],["file","README.md"],["file",".env.example"],["trace","81"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":83,"k":"7bd12b9b-8ec3-481b-a2aa-39badee22f02-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":21,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated the size of the catalog (360 items) and explicitly rejected adding a new search service or full-text index in favor of writing a custom server-rendered search route using standard SQLAlchemy `ilike` filters over the pre-existing SQLite database.","c":1,"e":[["file","app/__init__.py"],["file","app/templates/search.html"],["file","tests/test_catalog.py"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-22","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":371,"k":"7bde6d7c-f5ed-4c34-bd9a-dd3286e513ac-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":75,"picks":[["azure-document-intelligence","p"],["google-gemini","a"],["amazon-textract","r"],["docling","r"],["pdfplumber","r"],["openai-models","m"],["tesseract","m"]],"v":{"r":"The user requested an evaluation and implementation of a document extraction solution for broker PDF tables with multi-row headers and scans. 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It implemented the VisionReader class in src/statements/vision.ts and wired it into the intake pipeline, configured schema updates, and updated documentation.","c":1,"e":[["file","src/statements/vision.ts:71-118"],["file","src/statements/read.ts:26-31"],["file","docs/statements.md:75-88"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-models"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":281,"k":"7c4c255a-ae5b-45e4-b838-1f17ba89e152-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["vapi","p"],["retell-ai","a"]],"v":{"r":"The agent evaluated Vapi, Retell AI, and ElevenLabs Agents for the studio's bilingual voice assistant requirements. It recommended Vapi and subsequently implemented the full Vapi integration with assistant configuration, tool webhooks, Supabase atomic booking migrations, and setup documentation.","c":1,"e":[["file","app/api/vapi/tools/route.ts:1-229"],["file","vapi/SETUP.md:1-41"],["file","vapi/assistant.example.json:1-33"],["file",".env.example:11-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":1,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"agentgateway","secs":624,"k":"7c5cedd7-7f28-47ba-80ee-3a0ce9249934-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":103,"picks":[["agentgateway","p"],["ibm-contextforge","m"]],"v":{"r":"The run explicitly selected and implemented agentgateway (cr.agentgateway.dev/agentgateway:v1.5.0) as the third-party MCP gateway solution, writing its configuration files, compose definition, and integration code. 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It provisioned the Azure resource in Bicep, integrated the client in C#, and added reconciliation workflows in the repository.","c":0.95,"e":[["file","infra/bicep/modules/intake-resources.bicep"],["file","src/Meridian.PolicyCore/Intake/CloudClients.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai","secs":205,"k":"7d75e2cd-802d-4814-9ecf-6057e4153ad3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["openai","p"]],"v":{"r":"The agent proposed and implemented OpenAI's `gpt-6-luna` model for the storefront shopping assistant using direct API calls to OpenAI's Responses API endpoint.","c":1,"e":[["file","app/api/chat/route.ts:58-67"],["file",".env.example:4-5"],["file","README.md:7-8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-auth-prompt-c-05","pid":"AUTH-PC-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":248,"k":"7d7de741-1031-49c3-b0d4-bab77736fee7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["workos-authkit","p"],["auth0","m"],["clerk","m"]],"v":{"r":"The agent evaluated multiple auth providers (WorkOS, Clerk, Auth0, Supabase) and strongly recommended WorkOS AuthKit. 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Competing products were evaluated in trace deliberation.","c":1,"e":[["file","app/receipts/textract.py:1-157"],["file","app/receipts/read.py:32"],["file","requirements.txt:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"model-senior","pid":"MODEL-3a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai","secs":201,"k":"7eb6ea4a-198f-48ed-ae53-e1d0d2d12a57-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["openai","p"]],"v":{"r":"The user requested a model setup for classification and answer drafting. The agent recommended OpenAI's gpt-6-luna for classification and gpt-6-sol for drafting, which was approved and implemented via direct OpenAI API calls in `lib/store-assistant.ts`. Anthropic was searched for in the codebase during initial inspection.","c":1,"e":[["file",".env.example:19-21"],["file","lib/store-assistant.ts:37-69"],["file","README.md:9-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"fastapi-speechapi","variant":"base","family":"usage-based-billing-junior-quorrin-e4","pid":"UBB-QUORRIN-04c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":417,"k":"7ee31adb-4ac0-4720-8baf-1219a9b1238f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":108,"picks":[["metronome","p"],["lago","m"],["orb","r"]],"v":{"r":"The agent selected Metronome as the usage-based billing platform, implementing full integration including event ingestion (`app/metronome.py`), background outbox dispatching (`app/billing_dispatch.py`), reconciliation (`app/billing_close.py`), and operational documentation (`docs/metronome.md`). Other vendors (Orb, Stripe Billing, Lago) were evaluated and rejected or dismissed.","c":0.95,"e":[["file","app/metronome.py:1-60"],["file","app/billing_dispatch.py:1-48"],["file","docs/metronome.md:1-70"],["file",".env.example:5-7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"express-api","variant":"base","family":"bc-search-prompt-c-05","pid":"SEARCH-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":262,"k":"7f139aad-1ed2-4b37-a617-5ec3736bde3e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":52,"picks":[["typesense","p"],["elasticsearch","m"],["meilisearch","m"],["atlas-search","r"]],"v":{"r":"The run evaluated search engines against the project's requirements and committed completely to Typesense by writing Dockerfile.typesense, updating docker-compose.yml, adding MongoDB change-stream synchronization, creating key management scripts, and routing queries through an Express search controller.","c":1,"e":[["file","docker-compose.yml:35-56"],["file","services/typesense.js:1-82"],["file","services/eventSearch.js:1-43"],["file","Dockerfile.typesense:1-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"leaflet","secs":201,"k":"7f85888f-3f65-4ecb-97ba-f6eb0ee2ecee-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":26,"picks":[["leaflet","p"],["maplibre","m"],["openstreetmap","m"]],"v":{"r":"The agent selected and implemented Leaflet along with the leaflet-gpx plugin to display interactive maps, trailheads, and GPX track files across the Astro site's guide pages, using OpenStreetMap tile servers for basemaps.","c":1,"e":[["file","package.json:11-12"],["file","src/components/GuideMap.astro:17-66"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"spring-staffing-timesheets","variant":"base","family":"cadenya-e4-halverstock","pid":"CDNY-E4-HALVERSTOCK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":962,"k":"7fddbb0f-20d9-4429-a34a-468d156a2212-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":156,"picks":[["deep-agents","p"],["e2b","c"],["langgraph","c"],["langchain","m"],["modal","m"],["spring-ai","r"]],"v":{"r":"The agent implemented a dedicated Python Slack agent service using Deep Agents and LangGraph with PostgreSQL checkpointing for state persistence, interrupts, and message compaction, alongside E2B for isolated sandbox Python execution. Several alternative runtimes (Spring AI, OpenAI Agents SDK, Temporal) were explicitly evaluated and rejected in the trace.","c":0.95,"e":[["file","agent/office_agent/agent.py:4-7"],["file","agent/pyproject.toml:11"],["trace","21"],["file","agent/office_agent/agent.py:8"],["file","agent/office_agent/agent.py:97-111"],["file","agent/pyproject.toml:19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["deep-agents","e2b","langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":353,"k":"80078dc0-f912-45b4-bcdf-14ed9e1cf19a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":67,"picks":[["google-maps","p"],["leaflet","r"],["maa-amet","r"],["mapbox","r"]],"v":{"r":"The agent evaluated mapping and geocoding options for an Estonian dispatch application and fully committed to Google Maps Platform by installing `@googlemaps/js-api-loader`, writing a shared Google Maps component, and implementing address geocoding and directions integration.","c":1,"e":[["file","package.json:17"],["file","utils/googleMaps.client.ts:1-19"],["file","components/JobMap.vue:1-138"],["file","README.md:74-111"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":491,"k":"8067f7b0-b999-425d-8afa-d53c39537e9c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":55,"picks":[["metronome","p"],["lago","m"],["m3ter","m"],["orb","r"]],"v":{"r":"The agent evaluated multiple usage-based billing systems (Metronome, Orb, Lago, and m3ter), recommended Metronome to fulfill the token-based usage rating, retry idempotency, sales credits, and annual contract commitments, and subsequently implemented the integration with Metronome throughout the repository.","c":1,"e":[["file","src/billing/metronome.ts"],["file","src/billing/outbox.ts"],["file","docs/metronome-billing.md"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"ai-sre","wave":1,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"ai-sre-v1","family":"ai-sre-senior-enterprise-analytics","pid":"SRE-ANALYTICS-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"resolve-ai","secs":243,"k":"80682b84-78de-4c04-8b0b-85e9dec9af95-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["resolve-ai","p"],["cleric","m"],["incident-io-ai-sre","m"],["traversal","m"],["rootly-ai-sre","a"]],"v":{"r":"The agent evaluated several AI SRE candidates, recommended Resolve AI, and upon user confirmation created the Terraform IAM integration (`ops/monitoring/resolve.tf`) and documented operational setup and guardrails in `docs/monitoring.md`.","c":1,"e":[["file","ops/monitoring/resolve.tf:1-121"],["file","docs/monitoring.md:11-23"],["trace","seq 13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"stor-senior-go-customer-ops","pid":"STOR-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":241,"k":"80a022cc-816c-4b16-bc5e-12921dcca9b3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":26,"picks":[["amazon-s3","p"],["google-cloud-storage","m"]],"v":{"r":"The agent evaluated object storage options, recommended Amazon S3, and fully implemented S3-backed attachment upload and presigned URL download functionality using the official AWS SDK for Go v2.","c":1,"e":[["file","go.mod:6-8"],["file","internal/objects/s3/s3.go:1-48"],["file","cmd/server/main.go:36-43"],["file","README.md:29-37"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"search-senior-nuxt-fieldservice","pid":"SEARCH-11a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postgres-fts","secs":207,"k":"80b4414d-895f-4178-81ea-4d0fa29ba062-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":26,"picks":[["postgres-fts","p","b"],["meilisearch","r"],["typesense","r"]],"v":{"r":"The agent evaluated external search engines (Typesense, Meilisearch) and rejected them to avoid operational complexity and document indexing costs. It recommended and implemented in-database search using PostgreSQL's native pg_trgm extension with GIN indexes and trigram ranking queries.","c":1,"e":[["file","drizzle/0001_job_search.sql:1-9"],["file","server/utils/jobSearch.ts:1-47"],["file","README.md:77-80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apple-mapkit","secs":98,"k":"8164527a-af40-47d3-bbf0-86a4ecb09fd6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":19,"picks":[["apple-mapkit","p","b"]],"v":{"r":"The run recommended and directly implemented Apple MapKit into the SwiftUI iOS application using native Map, Marker, MapPolyline, and MKMapItem 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capabilities.","c":0.95,"e":[["file","models/Event.js:28-31"],["file","models/User.js:14"],["file","controllers/searchController.js:13-22"],["file","README.md:33-35"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mongodb-text-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mapbox","secs":543,"k":"83067f4a-de52-4d25-844b-5344e7876146-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["mapbox","p"]],"v":{"r":"The agent explicitly recommended and implemented Mapbox for both forward/reverse geocoding and static map generation, adding environment configuration, service wrappers, views, and automated 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It implemented a full `render.yaml` blueprint configuration and documented the operational procedures.","c":1,"e":[["file","render.yaml:1-16"],["file","README.md:26-62"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"i18n-senior-ferndale-e2","pid":"I18N-FERNDALE-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"next-intl","secs":502,"k":"831eda70-a438-4b9a-b6bb-e43970c1e1dc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":94,"picks":[["next-intl","p"],["crowdin","m"]],"v":{"r":"The agent selected next-intl as the internationalization solution, migrating the Next.js storefront pages to app/[locale], setting up routing and middleware, generating translated messages in JSON, and integrating next-intl across server and client components.","c":1,"e":[["file","next.config.mjs"],["file","middleware.ts"],["file","i18n/routing.ts"],["file","package-lock.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openmeter","secs":553,"k":"83343c38-9f24-4b95-87f9-920cb43a1df5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":89,"picks":[["openmeter","p"],["lago","m"],["metronome","m"],["orb","m"],["stripe-billing","m"]],"v":{"r":"The agent evaluated several usage-based billing vendors (OpenMeter, Lago, Orb, Metronome) and explicitly chose and implemented OpenMeter. 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It recommended Twilio ConversationRelay, and after user approval, fully implemented the Twilio ConversationRelay voice pipeline (TwiML webhooks, WebSocket server, authentication, confirmation flows, and audit records).","c":1,"e":[["file","app/controllers/voice_calls_controller.rb:38-42"],["file","app/services/voice/socket.rb:1-62"],["file","Gemfile:12-14"],["file","README.md:28-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["twilio-conversationrelay"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":367,"k":"849deb00-be31-43b4-9e3b-41c8c94e5a69-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":68,"picks":[["google-maps","p"],["mapbox","m"],["maplibre","m"]],"v":{"r":"The agent explicitly recommended Google Maps Platform, installed `@googlemaps/js-api-loader`, and implemented the map views and geocoding in Nuxt components and API endpoints.","c":1,"e":[["file","package.json"],["file","components/CustomerMap.client.vue"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-22","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-sol","rep":1,"pick":"supabase","secs":209,"k":"84cdcbf0-ed88-404a-be7e-1f433cc7a757-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":24,"picks":[["supabase","p","b"]],"v":{"r":"The agent leveraged the pre-existing Supabase backend and SDK (@supabase/ssr) to build the real-time class chat using Supabase Realtime postgres_changes and Postgres RLS policies, requiring no new third-party services or dependencies.","c":1,"e":[["file","supabase/migrations/0003_class_chat.sql"],["file","app/classes/[id]/ClassChat.tsx"],["file","lib/supabase/browser.ts"],["file","app/classes/[id]/page.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-22","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-sol","rep":1,"pick":"oracle-search","secs":193,"k":"85242bb2-bc46-409b-9536-ec210f22aeab-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["oracle-search","p","b"],["elasticsearch","r"],["opensearch","r"]],"v":{"r":"The run evaluated the workload requirements and chose to stay within the existing architecture by adding indexed search queries and SQL index definitions on the Oracle database rather than introducing an external search engine.","c":0.95,"e":[["file","db/order-search-indexes.sql:1-3"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/OrderSearchController.java:1-41"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oracle-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01d","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maptiler","secs":170,"k":"859e7216-98a6-4232-b461-7cb6a0e7c54d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":25,"picks":[["maptiler","p"],["maplibre","m"],["opentopomap","m"],["mapbox","a"]],"v":{"r":"The agent explicitly recommended MapTiler Cloud and installed `@maptiler/sdk`, building an Astro component (`GuideMap.astro`) using MapTiler's Outdoor style, marker helpers, and GPX polyline loader.","c":1,"e":[["file","package.json"],["file","src/components/GuideMap.astro"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maptiler"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"qodo","secs":200,"k":"85c23e5b-79b2-4569-a3bd-b654dec09b26-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":32,"picks":[["qodo","p"]],"v":{"r":"The run adopted PR-Agent (Qodo Merge) by creating the repository configuration in `.pr_agent.toml` and documenting the self-hosted GitLab webhook deployment with internal inference gateway routing in `docs/revue-automatique.md`.","c":0.95,"e":[["file",".pr_agent.toml:1-13"],["file","docs/revue-automatique.md:1-79"],["file","README.md:36-42"],["trace","trace.items[14]"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"vector-v1","family":"vector-search-junior-small-team-tickets","pid":"VEC-TICKETS-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":207,"k":"85c7515c-2ff8-4cea-9a75-4119bc0568ee-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["typesense","p"],["meilisearch","m"]],"v":{"r":"The run selected and fully implemented Typesense (Typesense Cloud) as its vector search service to perform semantic search across resolved tickets, configuring auto-embeddings via OpenAI and adding synchronization and search querying services.","c":1,"e":[["file","app/Services/TypesenseTicketSearch.php:1-106"],["file","config/services.php:29-35"],["file",".env.example:22-24"],["file","README.md:44-51"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-auth-prompt-c-13","pid":"AUTH-PC-13a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":318,"k":"85d52da1-f111-4e79-a6c0-19104141a129-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":68,"picks":[["auth0","p"],["clerk","m"]],"v":{"r":"The agent evaluated Auth0, Clerk, and Amazon Cognito, explicitly selecting Auth0. It fully wired Auth0 token verification via PyJWKClient, removed local password handling, wrote an Auth0 Post-Login Action, generated user migration export scripts, and updated Alembic and Terraform configs.","c":1,"e":[["file","app/security.py"],["file","app/deps.py"],["file","auth0/post-login.js"],["file","scripts/export_auth0_users.py"],["file","alembic/versions/20260922_6f8b27a9d13e_auth0_identity.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"laravel-smsplatform","variant":"base","family":"usage-based-billing-enterprise-verdanel-e4","pid":"UBB-VERDANEL-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":587,"k":"86016d03-b8be-4093-bab9-879adf9ea09d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":124,"picks":[["metronome","p"],["diy","c","d"],["kill-bill","m"],["m3ter","m"],["orb","m"]],"v":{"r":"The run evaluated multiple usage-based billing engines (Orb, m3ter, Lago, Kill Bill, Metronome) and recommended Metronome. Following approval, it implemented an integration client and outbox service for Metronome (`App\\Services\\Metronome`, `DeliverBillingEvents`), while building a local split-implementation ledger (`CustomerBilling`, `PeriodRerater`, `OpenBillingCorrection`, `CloseBillingCorrection`) to handle real-time prepaid reservations and long-term historical adjustments.","c":0.95,"e":[["file","app/Services/Metronome.php:10-61"],["file","app/Console/Commands/DeliverBillingEvents.php:12-48"],["file","config/services.php:8-12"],["file","app/Services/CustomerBilling.php:10-144"],["file","app/Services/PeriodRerater.php:9-112"],["file","app/Console/Commands/OpenBillingCorrection.php:12-92"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":5,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":425,"k":"86128e7a-5cab-4855-9b6f-7ba26f1caedf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":80,"picks":[["vapi","p"]],"v":{"r":"The agent evaluated multiple voice agent platforms (Vapi, Retell AI, LiveKit Agents, ElevenLabs Agents), selected Vapi, and built full webhook integration endpoints and database schema migrations to support Vapi tool calling and warm transfers.","c":1,"e":[["file","server/api/vapi/events.post.ts"],["file","server/api/vapi/tools.post.ts"],["file","server/utils/vapiTools.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":2,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"eval-junior-python-ai-analyst-cases","pid":"EVAL-04a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":376,"k":"8626cc6d-534b-4ba6-9fc1-feff4a9b5ca4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":50,"picks":[["diy","p","b"],["braintrust","m"],["promptfoo","m"]],"v":{"r":"The agent explicitly recommended and built a regression evaluation suite using the repository's existing pytest setup (`evals/test_live.py` and `evals/cases.py`), wired into GitHub Actions (`.github/workflows/evals.yml`). External eval platforms like Braintrust and Promptfoo were evaluated during reasoning/retrieval but not adopted.","c":0.95,"e":[["file","evals/test_live.py"],["file","evals/cases.py"],["file",".github/workflows/evals.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["diy"],"dp":"Anthropic","sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-22","repo":"go-edgeproxy","variant":"base","family":"usage-based-billing-senior-veldrin-e4","pid":"UBB-VELDRIN-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"lago","secs":846,"k":"867310bb-6cf5-4fe0-8629-81ba6bde0657-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":78,"picks":[["lago","p"]],"v":{"r":"The agent explicitly recommended self-hosted Lago and implemented a complete Lago integration across the repository (API client, durable event outbox, plan/subscription provisioning, usage querying, and invoice export CLI) to meet usage-based billing and EU data residency constraints.","c":1,"e":[["file","internal/billing/lago.go"],["file","cmd/billing-setup/main.go"],["file","docs/billing-runbook.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lago"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"evals","wave":2,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"eval-senior-python-ai-analyst-cases","pid":"EVAL-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"braintrust","secs":338,"k":"86dd5905-13f4-462a-b48f-fbcfc382a3e6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":67,"picks":[["braintrust","p"],["langsmith","r"],["promptfoo","r"]],"v":{"r":"The agent evaluated several evaluation frameworks and services (Promptfoo, LangSmith, DeepEval, Braintrust) and selected Braintrust. It implemented versioned dataset management (`evals/seed.py`), evaluation runs with custom scoring (`evals/analyst.eval.py`, `evals/gate.py`), and CI workflow integration via `braintrustdata/eval-action@v2` in `.github/workflows/ci.yml`.","c":1,"e":[["file","pyproject.toml"],["file","evals/analyst.eval.py"],["file",".github/workflows/ci.yml"],["file","docs/evaluations.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["braintrust"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"i18n-junior-enterprise-portail-e2","pid":"I18N-PORTAIL-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"symfony-translation","secs":422,"k":"8744e251-b1b6-4fe2-beb0-ce1df9dd67bb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":98,"picks":[["symfony-translation","p"]],"v":{"r":"The agent installed and configured Symfony Translation (`symfony/translation`) along with XLIFF catalogues (`translations/messages.fr.xlf`) and Twig Intl integration (`twig/intl-extra`) to meet the requirements of offline file-based translation without sending data outside the hosting environment.","c":1,"e":[["file","composer.json:27"],["file","config/packages/translation.yaml:1-6"],["file","docs/traductions.md:1-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["symfony-translation"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-22","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":286,"k":"882fac0d-cca7-422e-b810-2164196d09ef-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":44,"picks":[["modal","p"],["e2b","m"]],"v":{"r":"The agent explicitly chose Modal Sandboxes to isolate untrusted build execution, added `modal` to dependencies in `package.json`, configured sandbox provisioning and lifecycle management via the Modal JS SDK in `src/runner.ts`, updated `.env.example`, and documented the setup in `README.md`.","c":1,"e":[["file","package.json"],["file","src/runner.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Generated UI project builds","theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-22","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":527,"k":"883aaf5a-1253-41a3-b142-a29494cf5448-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":86,"picks":[["amazon-textract","p"],["mindee","a"],["veryfi","r"],["google-gemini","m"],["nanonets","m"],["openai-models","m"],["tesseract","m"]],"v":{"r":"The agent evaluated several document processing vendors against the codebase requirements (handling side-by-side receipts and handwritten tips within budget) and implemented Amazon Textract's AnalyzeExpense API directly in the repository.","c":1,"e":[["file","app/receipts/textract.py"],["file","app/receipts/read.py"],["file","requirements.txt"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"flutter-map","secs":340,"k":"887d5f4c-76df-4d89-876a-2a0799592ba2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":74,"picks":[["flutter-map","p"],["maplibre","m"],["openmaptiles","m"],["openstreetmap","m"],["protomaps","m"],["mapbox","r"],["maptiler","m"]],"v":{"r":"The run installed and configured `flutter_map` (^8.3.2) along with `latlong2` in the Flutter codebase, creating a reusable `WalkMap` widget with TileLayer, PolylineLayer, and MarkerLayer for walk reports and live walk tracking screens. External proprietary map vendors like Google Maps and Mapbox were explicitly rejected due to privacy constraints.","c":1,"e":[["file","pubspec.yaml:16"],["file","lib/widgets/walk_map.dart:2"],["file","README.md:108"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["flutter-map"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":2,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"voice-agents-helpdesk","pid":"VAGT-HELPDESK-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":420,"k":"88a34d74-9c48-4876-90a1-6e9916cabb80-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":73,"picks":[["livekit-agents","p"]],"v":{"r":"The agent selected and fully implemented LiveKit Agents in the `voice-agent/` directory using the `livekit-agents` Python SDK, integrating it with the Deskfern Laravel ticket API and providing Docker/SIP dispatch configuration. Vapi and Retell AI were briefly surveyed via search queries during research.","c":1,"e":[["file","voice-agent/requirements.txt:1"],["file","voice-agent/agent.py:7-20"],["file","README.md:43-65"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"resend","secs":213,"k":"89a2a087-fe0e-4d93-bd74-ce2ca0226e7e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":39,"picks":[["resend","p"]],"v":{"r":"The run chose Resend as the transactional email provider to handle attendee reminder emails in batches. 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It implemented `@langfuse/client` dependencies, created dataset and experiment evaluation scripts (`experiments/report-eval.ts`, `experiments/seed-dataset.ts`), and configured the `langfuse/experiment-action` GitHub Actions step in `.github/workflows/ci.yml`.","c":1,"e":[["file",".github/workflows/ci.yml:51-68"],["file","package.json:25"],["file","experiments/report-eval.ts:1-149"],["file","experiments/seed-dataset.ts:1-30"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Evaluation and a regression gate","theme":"Volume and cost at scale"},{"cat":"sandboxes","wave":1,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-data-node","pid":"SBX-MANAGED-DATA-NODE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":226,"k":"8ab0a73f-32f5-4d61-81d6-52dfb149f470-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":37,"picks":[["modal","p"],["daytona","m"],["e2b","m"]],"v":{"r":"The agent selected Modal Sandboxes, installed the `modal` npm package, configured credentials in `src/config.ts` and `.env.example`, implemented isolated execution in `src/transform.ts`, and updated the project documentation and tests.","c":1,"e":[["file","package.json"],["file","src/transform.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Generated data-analysis code","theme":"Self-hosting, privacy or residency"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-22","repo":"django-mvno","variant":"base","family":"usage-based-billing-enterprise-marnsvik-e4","pid":"UBB-MARNSVIK-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"oracle-brm","secs":422,"k":"8abfc0ba-04b6-47f2-98d3-ffdfe1e90cf4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["oracle-brm","p"],["diy","c","d"]],"v":{"r":"The agent selected Oracle BRM (with ECE/PDC) for rating and billing calculations while implementing a custom Django mediation, outbox staging, and rated line ingestion layer to prepare for operator deployment.","c":0.6,"e":[["file","docs/brm-integration.md"],["file","README.md"],["trace","8"],["file","billing/mediation.py"],["file","billing/lifecycle.py"],["file","billing/rated_import.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["oracle-brm"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"nestjs-llmrouter","variant":"base","family":"usage-based-billing-senior-anvilgate-e4","pid":"UBB-ANVILGATE-04c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":996,"k":"8ac94964-9840-4bc6-a221-6f68d3e508be-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":91,"picks":[["metronome","p"],["lago","r"],["orb","r"]],"v":{"r":"The agent evaluated several usage-based billing solutions (Metronome, Orb, Lago, Stripe Token Billing) to handle token-level pricing by model and mid-month provider price shifts. It explicitly recommended Metronome in seq:20 and implemented a full integration across migrations, usage event outbox dispatching, provisioning services, and documentation.","c":1,"e":[["file","docs/metronome.md"],["file","db/002_metronome.sql"],["file",".env.example"],["trace","seq:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":2,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"eval-senior-node-ai-report-builder-cases","pid":"EVAL-06a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"promptfoo","secs":551,"k":"8ae36ef4-275a-4c0e-9a7f-02437bce45f2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":50,"picks":[["promptfoo","p"],["braintrust","m"],["openai-evals","m"]],"v":{"r":"The agent selected Promptfoo as its primary evaluation toolchain, installed it under `eval/`, configured test cases and assertions, built a baseline comparison script (`eval/compare.mjs`), and added a dedicated CI evaluation workflow job.","c":1,"e":[["file","eval/package-lock.json"],["file",".github/workflows/ci.yml"],["file","README.md"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["promptfoo"],"sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-c-04","pid":"CLDE-PC-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":286,"k":"8b3cf3ed-d299-445a-a156-8bfa2b1370ec-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":59,"picks":[["cloudflare","p"],["upstash","p"],["aws","m"],["redis","m"]],"v":{"r":"The user requested object storage for product media and a queue for post-checkout jobs. The run recommended, installed, and fully implemented a solution consisting of Cloudflare (R2 and CDN Image Transformations) for storage/delivery and Upstash (QStash and Redis) for serverless queue processing and deduplication locking.","c":0.95,"e":[["file","README.md"],["file","lib/media.ts"],["file","components/product-image.tsx"],["file","scripts/upload-media.mjs"],["file",".env.example"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare","upstash"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"voice-agents-workshop","pid":"VAGT-WORKSHOP-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":268,"k":"8b57db85-9ea9-441b-92df-fd4e585ac9f1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":52,"picks":[["vapi","p"],["livekit-agents","a"]],"v":{"r":"The agent explicitly recommended Vapi and implemented a complete integration for it, including the webhook handler (`app/vapi.server.ts`), API endpoint (`app/routes/api.vapi.ts`), setup script (`scripts/setup-phone.mjs`), and documentation in `README.md`.","c":1,"e":[["file","app/vapi.server.ts"],["file","app/routes/api.vapi.ts"],["file","scripts/setup-phone.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e3-hollowgate","pid":"CDNY-E3-HOLLOWGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langgraph","secs":997,"k":"8b8667cb-6f86-4a95-937c-a29a6cbf4e58-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":122,"picks":[["langgraph","p"],["daytona","m"],["modal","m"],["deep-agents","m"],["langchain","m"],["openai-agents-sdk","m"],["speakeasy","m"]],"v":{"r":"The run installed `@langchain/langgraph` and `@langchain/langgraph-sdk`, created `langgraph.json` targeting the `officeAgent` graph factory in `agent/graph.ts`, and implemented interrupted human-in-the-loop flows with state checkpointer backends. Alternatives like Temporal, Vercel AI SDK, and OpenAI Agents were explicitly weighed and rejected in trace analysis.","c":0.95,"e":[["file","package.json:16"],["file","langgraph.json:1-5"],["file","agent/graph.ts:3"],["file","lib/agent/client.ts:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"oc":["render"],"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"go-supplierwatch","variant":"base","family":"ai-search-junior-mercadier-e7","pid":"AISRCH-MERCADIER-07a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mistral-web-search","secs":491,"k":"8b89ed17-ecb4-444c-99b0-b6e9a582ffbd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":89,"picks":[["mistral-web-search","p"],["gdelt","m"],["perplexity-sonar","m"],["tavily","m"],["brave-search","r"]],"v":{"r":"The agent implemented Mistral web search (using Mistral's web_search_premium tool via the Conversations API) to fulfill the web and news search requirements for supplier background checks. Brave Search API was explicitly considered and rejected due to terms-of-service restrictions on data caching and archiving. Other search engines and datasets were briefly noted during reasoning.","c":0.95,"e":[["file","internal/recherche/mistral.go:1-135"],["file","cmd/server/main.go:27-31"],["file","docs/collecte-sources.md:1-51"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mistral-web-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-auth-prompt-b-11","pid":"AUTH-PB-11a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":291,"k":"8c83b5eb-4c4e-469f-8b89-cadd999282a7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["auth0","p"],["clerk","r"]],"v":{"r":"The agent selected Auth0 to satisfy the authentication requirements (password reset, MFA, Google, and GitHub social sign-in) and implemented full RS256 JWT validation, user migration exports, database schema migrations, and configuration in the codebase.","c":1,"e":[["file","app/security.py"],["file","app/deps.py"],["file","app/routers/auth.py"],["file","scripts/export_auth0_users.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-aigw-prompt-b-02","pid":"AIGW-PB-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"portkey","secs":232,"k":"8ccc1b5f-8a55-44e3-9bd7-a1365b60577e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":40,"picks":[["portkey","p"],["helicone","m"],["vercel-ai-gateway","m"],["cloudflare-ai-gateway","a"]],"v":{"r":"The agent evaluated AI gateway options and implemented a new Fastify service (`services/product-descriptions`) that connects directly to the Portkey API (`https://api.portkey.ai/v1/chat/completions`) using `PORTKEY_API_KEY` and `PORTKEY_CONFIG_ID`. The run explicitly detailed and configured Portkey's fallback, simple caching, and cost tracking capabilities.","c":1,"e":[["file","services/product-descriptions/src/lib/gateway.ts:37-81"],["file","docs/product-descriptions.md:1-68"],["file",".env.example:8-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":5,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"obs-traces-fastapi-saas","pid":"OBS-TRACE-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-xray","secs":336,"k":"8d3cf38c-1766-4a12-90ec-6dc6e9cc2b0a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":53,"picks":[["aws-xray","p","b"],["opentelemetry","m"]],"v":{"r":"The repository is already deployed on AWS (ECS Fargate, ALB, RDS). The agent instrumented the FastAPI and SQLAlchemy code using OpenTelemetry and configured an AWS OTel Collector (ADOT) sidecar in ECS task definition to forward traces directly to AWS X-Ray. Additionally, it configured an Amazon CloudWatch metric alarm for ALB p95 target latency.","c":0.95,"e":[["file","terraform/ecs.tf"],["file","app/tracing.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-xray"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"sveltekit-tutorhub","variant":"base","family":"i18n-junior-quillhaven-e2","pid":"I18N-QUILLHAVEN-03b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"i18next","secs":380,"k":"8d4fcef7-1dde-49bb-a721-844fda87cf61-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":74,"picks":[["i18next","p"],["weblate","m"],["paraglide","r"],["tolgee","r"],["locize","m"]],"v":{"r":"The agent selected and installed i18next to manage application translations, created structured JSON translation namespaces for en, fr, and nl, wired request-scoped translations into SvelteKit SSR and routes, and documented self-hosted Weblate as the Git-integrated editor for tutors.","c":0.95,"e":[["file","package.json"],["file","src/lib/i18n/index.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18next"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-msk","secs":382,"k":"8d85827a-a9f9-4be4-b307-5d72295d1cf3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":51,"picks":[["amazon-msk","p"],["amazon-kinesis","a"],["amazon-sns","a"],["amazon-eventbridge","r"],["amazon-sqs","r"],["apache-kafka","r"],["confluent","m"]],"v":{"r":"The agent evaluated several event streaming and messaging architectures (MSK, self-hosted Kafka, SNS FIFO, SQS FIFO, Kinesis, EventBridge) against compliance, 30-day replay, and per-account strict ordering requirements. It selected Amazon MSK backed by transactional outbox and Debezium CDC, providing complete Terraform definitions, Kubernetes Debezium configurations, and compliance rollout documentation.","c":0.95,"e":[["file","terraform/eu-west-1/streaming.tf:30-74"],["file","docs/compliance/LEDGER_EVENTS.md:1-25"],["file","k8s/streaming/connect.yaml:1-135"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-msk"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":447,"k":"8d915419-bdfe-414b-91da-fc58ed537520-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":64,"picks":[["amazon-textract","p"],["llamaparse","m"],["docling","a"],["camelot","r"],["pdfplumber","r"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent evaluated multiple document processing engines and settled on Amazon Textract. It implemented `TextractReader` in `app/notes/textract.py` using `boto3` and `amazon-textract-response-parser`, updated `requirements.txt`, wired `TextractReader` as the default reader in `app/notes/read.py`, and added comprehensive unit and integration tests.","c":1,"e":[["file","app/notes/textract.py"],["file","requirements.txt:9-10"],["file","app/notes/read.py:33-37"],["file","README.md:29-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"voice-agents-marketplace","pid":"VAGT-MARKETPLACE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":328,"k":"8dbcea5a-6e3a-47cc-b3f3-caa228a7072d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":67,"picks":[["retell-ai","p"],["vapi","a"]],"v":{"r":"The agent explicitly recommended Retell AI Conversation Flow, implemented custom backend endpoints for its tool calls, verified Retell webhook signatures, and provided detailed documentation on configuring the flow in Retell's dashboard.","c":0.98,"e":[["file",".env.example:14-17"],["file","app/controllers/phone_agent_controller.rb:1-171"],["file","app/services/retell_signature.rb:1-14"],["file","docs/phone_agent.md:1-93"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apache-kafka","secs":678,"k":"8dc8c5e3-d7ae-44af-a7bc-052326d34e49-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":130,"picks":[["apache-kafka","p"],["redpanda","m"],["amazon-kinesis","r"],["apache-pulsar","r"],["confluent","r"],["nats","r"],["rabbitmq","r"],["redis","r"],["google-managed-kafka","m"]],"v":{"r":"The run evaluated several streaming message queues (Kafka, Pulsar, NATS JetStream, RabbitMQ Streams, Redis Streams, Amazon Kinesis) and decisively picked Apache Kafka deployed on-premises via Strimzi. The agent implemented the full transactional outbox publisher with Debezium configs, consumer handlers using segmentio/kafka-go, replay CLI tooling, and Kubernetes deployment manifests.","c":1,"e":[["file","go.mod:7"],["file","internal/eventlog/kafka.go:1-137"],["file","deploy/k8s/kafka/cluster.yaml:1-43"],["file","deploy/k8s/kafka/topic.yaml:1-15"],["file","docs/platform/kafka-runbook.md:1-106"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"in-app-communication","wave":2,"date":"2026-09-22","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-sol","rep":1,"pick":"supabase","secs":245,"k":"8df493d0-6f4d-44c2-84d1-37d106257bc1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":38,"picks":[["supabase","p","b"]],"v":{"r":"The agent leveraged the project's existing Supabase infrastructure to implement persistent in-app class chat with row-level security and Supabase Realtime subscriptions, requiring no additional services.","c":1,"e":[["file","supabase/migrations/0003_class_chat.sql:1-65"],["file","components/ClassChat.tsx:1-245"],["file","README.md:23-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"code-review-senior-loventis","pid":"CR-LOVENTIS-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"greptile","secs":96,"k":"8e1a6423-08a3-4006-a0af-d757c903390d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":28,"picks":[["greptile","p"],["coderabbit","a"],["qodo","a"]],"v":{"r":"The agent evaluated CodeRabbit, Qodo Merge, and Greptile for PR code review, explicitly recommended Greptile, and created the configuration files (.greptile/config.json and .greptile/rules.md) upon user confirmation.","c":1,"e":[["file",".greptile/config.json"],["file",".greptile/rules.md"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["greptile"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-botp-prompt-b-01","pid":"BOTP-PB-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-botid","secs":124,"k":"8e9453c2-38d1-4883-b9db-be69dd1433c8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":18,"picks":[["vercel-botid","p"],["hcaptcha","m"],["recaptcha","m"],["turnstile","m"]],"v":{"r":"The agent evaluated bot protection solutions and selected Vercel BotID, installing the `botid` npm package and configuring it across the layout, Next.js config, and API routes (`/api/newsletter` and `/api/checkout`).","c":1,"e":[["file","package.json:13"],["file","next.config.mjs:1-15"],["file","app/layout.tsx:2-33"],["file","app/api/newsletter/route.ts:2-15"],["file","app/api/checkout/route.ts:2-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"fastify-agentplatform","variant":"base","family":"usage-based-billing-senior-vessorin-e4","pid":"UBB-VESSORIN-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"orb","secs":489,"k":"8f3e5183-6149-435c-89a6-9772c8968226-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":61,"picks":[["orb","p"],["lago","m"],["metronome","m"],["stripe-billing","m"]],"v":{"r":"The user asked for a billing solution recommendation to transition from seat-based pricing to flexible usage billing. The agent evaluated options, selected Orb, and upon confirmation implemented full integration code (OrbClient, event outbox dispatch, webhook receiver, spend endpoints, and migration scripts).","c":1,"e":[["file","src/billing/orb.ts:1-69"],["file","docs/orb-integration.md:1-36"],["file","src/billing/dispatch.ts:1-36"],["file","src/routes/orbWebhooks.ts:1-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["orb"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-22","repo":"django-multitenant-saas","variant":"base","family":"i18n-senior-enterprise-ferngate-e2","pid":"I18N-FERNGATE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"django-i18n","secs":1650,"k":"8fcd7f71-9633-4c76-b78d-6e64161a2e23-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":188,"picks":[["django-i18n","p","b"],["python-babel","c"],["django-parler","m"],["gettext","m"],["lingo-dev","m"],["lokalise","m"],["tolgee","m"],["weblate","m"]],"v":{"r":"The agent leveraged Django's built-in translation framework (`django.utils.translation`, PO catalogs, and template tags) as its primary internationalization solution, complemented by Python Babel (`python-babel`) for formatting currency/dates and catalog manipulation, while documenting Weblate for the collaborative workflow.","c":0.95,"e":[["file","apps/localization/locale.py"],["file","ferngate/settings.py"],["file","locale/es/LC_MESSAGES/django.po"],["file","locale/fr_CA/LC_MESSAGES/django.po"],["file","requirements.txt"],["file","apps/localization/locale.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-kinesis","secs":826,"k":"9047dc21-b8af-456e-8cc9-90e35cf9276a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":90,"picks":[["amazon-kinesis","p"],["amazon-sqs","r"],["apache-kafka","r"],["nats","r"],["rabbitmq","r"],["amazon-msk","m"],["google-managed-kafka","m"],["google-pubsub","m"]],"v":{"r":"The user requested a replacement for the PostgreSQL event log table to maintain per-meter ordering, idempotent side-effects, and 30-day replay. 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It explicitly rejected Cloudflare due to beta/deprecated routing endpoints and implemented Portkey by adding configuration settings, background Celery tasks calling the Portkey API endpoint, and deployment secret bindings.","c":1,"e":[["file","apps/courses/quiz_gateway.py"],["file","brightloom/settings.py"],["file","docs/ai-quiz-generation.md"],["trace","20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"express-api","variant":"base","family":"code-review-junior-corkboard","pid":"CR-CORKBOARD-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"coderabbit","secs":136,"k":"91cf685c-364a-47e2-87e8-c43b1b3b8eff-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":32,"picks":[["coderabbit","p"],["qodo","m"],["semgrep","m"]],"v":{"r":"The agent explicitly recommended CodeRabbit Advanced and committed configuration in `.coderabbit.yaml` and documentation in `README.md`. 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It fully implemented the solution in code and Terraform configuration using Kinesis and the Kinesis Client Library (amazon-kclpy).","c":1,"e":[["file","terraform/kinesis.tf:1-7"],["file","app/stream.py:53-82"],["file","consumers/stream_worker.py:27-101"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-kinesis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"bc-databases-prompt-c-05","pid":"DB-PC-05a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"supabase","secs":261,"k":"94ec675e-282c-4b55-b023-78ad1a767e7c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["supabase","p"],["neon","m"],["sqlite","r","b"],["postgres","m"]],"v":{"r":"The agent explicitly recommended Supabase Pro hosted PostgreSQL to satisfy the user's requirement for managed backups without local persistent storage, configured the connection strings and setup instructions for Supabase in .env.example and README.md, and wired the application using psycopg3.","c":1,"e":[["file","README.md"],["file",".env.example"],["file","app.py"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01e","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":388,"k":"955d127a-237b-476d-aa2b-b4ecb4f0d88a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["azure-document-intelligence","p"],["openai-models","m"]],"v":{"r":"The agent evaluated Azure Document Intelligence, Amazon Textract, and Google Document AI, explicitly recommending Azure Document Intelligence due to its combined prebuilt invoice and custom neural classification/extraction models. Upon confirmation, the agent fully implemented the integration using Azure AI Document Intelligence.","c":1,"e":[["file","app/Services/DocumentIntelligence.php:1-68"],["file","app/Jobs/ProcessTicketAttachment.php:22-55"],["file","config/services.php:29-35"],["file","README.md:32-75"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":553,"k":"9575da90-6d04-4972-ac15-8f2788876a23-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":74,"picks":[["google-maps","p"]],"v":{"r":"The run recommended Google Maps via the `google_maps_flutter` package, added the dependencies and configuration to both Android and iOS project files, implemented the WalkMap widget and live tracking screen, and verified the integration with automated tests.","c":1,"e":[["file","pubspec.yaml:15"],["file","lib/widgets/walk_map.dart:1-140"],["file","android/app/src/main/AndroidManifest.xml:10-12"],["file","ios/Runner/AppDelegate.swift:2-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"bc-search-prompt-b-03","pid":"SEARCH-PB-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":349,"k":"968d78b9-5561-4045-b141-701965908473-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":66,"picks":[["typesense","p"],["meilisearch","a"]],"v":{"r":"The agent selected Typesense for self-hosted search, writing a complete integration (client service, background indexing worker with PostgreSQL outbox queue, Docker Compose configuration, and rake tasks) while evaluating Meilisearch as an alternative.","c":1,"e":[["file","app/services/typesense_search.rb:1-82"],["file","deploy/typesense.compose.yml:1-25"],["file","deploy/typesense.Dockerfile:1-4"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"auth-ent-senior-edtech-lms","pid":"AUTH-17a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":279,"k":"97137f24-9a41-405c-bdba-089aeb8f249c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":37,"picks":[["workos-authkit","p"]],"v":{"r":"The agent evaluated SSO approaches for district staff and implemented WorkOS using the workos Python SDK, adding database schema additions, authentication middleware, views for SSO flow initiation and callbacks, deployment secrets configuration, and test suites.","c":1,"e":[["file","requirements.txt:15"],["file","apps/roster/sso_views.py:1-114"],["file","brightloom/settings.py:141-150"],["file","deploy/service.yaml:51-60"],["file","README.md:36-65"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-sre","wave":1,"date":"2026-09-22","repo":"express-api","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-events","pid":"SRE-EVENTS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"incident-io-ai-sre","secs":193,"k":"97234781-b2ac-4a5d-ae16-0e61fbae63ec-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["incident-io-ai-sre","p"],["cleric","m"],["metoro","m"],["resolve-ai","m"],["sentry-seer","m"],["traversal","m"]],"v":{"r":"The agent explicitly chose incident.io Investigations (incident.io AI SRE) as the solution to investigate incidents using existing Grafana Loki logs and GitHub code, and to generate automated fix pull requests. It documented the setup steps in docs/incident-investigations.md and added deploy webhook integration in deploy.sh. Other eligible tools were mentioned only during background research in reasoning and queries.","c":0.95,"e":[["file","docs/incident-investigations.md:1-20"],["file","docs/monitoring.md:17"],["trace","seq 4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["incident-io-ai-sre"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":3,"date":"2026-09-22","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stream","secs":571,"k":"97376d29-d8a8-4a6c-8dd5-9086cbd7d99b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["stream","p"],["twilio","m"],["builtin","r","b"]],"v":{"r":"The user requested an external vendor chat service for buyer-seller messaging and private photo sharing. The agent selected Stream Chat, implemented a server-side session and token service in Rails, integrated the official JavaScript SDK in the frontend, and scripted the vendor channel configuration.","c":1,"e":[["file",".env.example:17-19"],["file","README.md:71-105"],["file","app/services/stream_order_chat.rb"],["file","scripts/configure_stream_chat.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stream"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-panl-prompt-b-05","pid":"PANL-PB-05c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"datadog-product-analytics","secs":640,"k":"97d47d7b-e088-4c73-a033-aa2623abcb6b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":86,"picks":[["datadog-product-analytics","p"],["posthog","r"],["datadog","m"],["plausible","m"]],"v":{"r":"The run evaluated product analytics options (including PostHog and Datadog) and selected Datadog Product Analytics to leverage the existing Datadog deployment and permissions model. It built an event schema, a Kafka-backed background worker to dispatch events to Datadog's server-side intake, and a bootstrap dashboard JSON template.","c":0.95,"e":[["file","services/checkout-analytics/src/datadog.ts"],["file","platform/datadog/checkout-product-analytics.dashboard.json"],["file","docs/checkout-product-analytics.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-product-analytics"],"pb":1,"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"voice-agents","wave":8,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-small-footprint","pid":"VAGT-SMALL-FOOTPRINT-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":433,"k":"984cfa1d-47dd-4cb6-8c46-a18411d2217c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":49,"picks":[["vapi","p"]],"v":{"r":"The run evaluated several voice agent platforms (Vapi, ElevenLabs, Retell AI, LiveKit, OpenAI Realtime) before selecting Vapi. 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Qdrant) versus PostgreSQL's vector extension, recommended pgvector to leverage the project's existing Postgres database, and fully implemented pgvector schema migrations, query matching, chunking, and worker indexing.","c":0.95,"e":[["file","drizzle/0001_job_search.sql:1-12"],["file","server/api/jobs/search.get.ts:35-51"],["file","README.md:73-77"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"OpenAI","sk":1,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"ocr-government-forms","pid":"OCR-GOV-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"paddleocr","secs":439,"k":"98784480-5d0b-44c6-bdd3-a57c8687edc8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["paddleocr","p"],["tesseract","r"]],"v":{"r":"The agent evaluated OCR solutions and recommended PaddleOCR-VL-1.6, then fully implemented a dedicated processing worker and Kubernetes deployment templates using the `paddleocr` Python package and `PaddleOCRVL` pipeline.","c":1,"e":[["file","worker/requirements.txt:1"],["file","worker/traiter.py:88-102"],["file","helm/citizen-portal/templates/documents.yaml:1-93"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paddleocr"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"voice-agents-helpdesk","pid":"VAGT-HELPDESK-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":350,"k":"98c7173c-b794-411e-875b-f36962c18960-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":75,"picks":[["retell-ai","p"],["vapi","r"]],"v":{"r":"The agent evaluated voice agent providers including Retell AI, Vapi, and OpenAI Realtime API, recommended Retell AI, and implemented full Laravel controller/middleware endpoints and documentation for Retell AI 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(Datadog Bits AI Dev Agent), configuring Terraform monitors, agent instructions in AGENTS.md and bits.md, PR templates, and integration documentation.","c":0.95,"e":[["file","docs/ai-sre.md"],["file","ops/monitoring/bits.md"],["file","ops/monitoring/main.tf"],["file","AGENTS.md"],["file","docs/ai-sre.md"],["file",".github/PULL_REQUEST_TEMPLATE.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog-bits-investigation"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"go-grid-events","variant":"base","family":"mq-senior-enterprise-ashcombe","pid":"MQ-ASHCOMBE-01d","pf":"Enterprise 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All alternatives (Confluent Cloud, RabbitMQ, NATS, Redis Streams, and Apache Pulsar) were formally weighed and rejected in prose.","c":1,"e":[["file","deploy/k8s/kafka/cluster.yaml:1-163"],["file","internal/eventlog/kafka.go:1-119"],["file","go.mod:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Volume and cost at scale"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"perplexity-sonar","secs":515,"k":"993af21e-e17b-46f2-8b70-7d6050ee1a13-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":76,"picks":[["perplexity-sonar","p"],["exa","r"]],"v":{"r":"The agent selected and fully integrated Perplexity's Agent API (`fast` preset) to provide fact-checking search and source citations on demand, calling `https://api.perplexity.ai/v1/agent` from the server.","c":0.95,"e":[["file","src/lib/server/check-claim.ts"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["perplexity-sonar"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"voice-read-aloud-budget","pid":"VOICE-TTS-BUDGET-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"web-speech","secs":158,"k":"99d96854-8e02-4669-b954-4ee6548c9292-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":25,"picks":[["web-speech","p","b"],["piper","m"],["openai","m"]],"v":{"r":"The agent evaluated no-cost read-aloud approaches, recommended the browser-native Web Speech API (`SpeechSynthesis`), and upon user confirmation implemented JavaScript controls directly in `templates/courses/course_list.html` to speak course titles and descriptions.","c":0.95,"e":[["file","templates/courses/course_list.html:54-150"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["web-speech"],"sk":0,"seam":"Zero-budget browser read-aloud","theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"obs-logs-dotnet-field-ops","pid":"OBS-LOG-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-monitor","secs":323,"k":"99f5a378-b5ee-4c25-a4ee-4d823003c3d5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":39,"picks":[["azure-monitor","p","b"],["opentelemetry","m"]],"v":{"r":"The project is already hosted on Azure App Service. The agent configured centralized structured logging using Azure Monitor with a workspace-backed Application Insights resource, Azure Monitor OpenTelemetry exporter in .NET 8, and an Azure Monitor scheduled query log alert tied to the production on-call action group.","c":0.95,"e":[["file","src/BrackenRidge.FieldOps/BrackenRidge.FieldOps.csproj:8"],["file","src/BrackenRidge.FieldOps/Program.cs:1-18"],["file","infra/monitoring.bicep:9-60"],["file",".github/workflows/ci.yml:31-67"],["file","README.md:28-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-monitor"],"sk":0,"seam":"Log management","theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e1-hollowgate","pid":"CDNY-E1-HOLLOWGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"trigger-dev","secs":523,"k":"9a3f6fe2-9955-4c11-b876-eb028137fa5b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["trigger-dev","p"],["vercel-ai-sdk","c"],["e2b","m"],["langgraph","r"],["temporal","r"],["langchain","m"]],"v":{"r":"The agent selected Trigger.dev as the primary background workflow orchestrator along with the Vercel AI SDK for model routing and drafting steps. 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Upon confirmation, it implemented an Auth0 JWT token verification guard and documented the necessary Auth0 configuration.","c":1,"e":[["file","src/auth/auth0-token-verifier.ts:1-20"],["file","src/auth/auth.guard.ts:1-29"],["file","infra/main.bicep:7-11"],["file","README.md:12-24"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"django-multitenant-saas","variant":"base","family":"i18n-senior-enterprise-ferngate-e2","pid":"I18N-FERNGATE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":1139,"k":"9cd08185-caf9-481c-9fe3-4d9d26ebe7bc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":137,"picks":[["django-i18n","p","b"],["weblate","c"],["gettext","m"],["tolgee","m"]],"v":{"r":"The agent chose and implemented a hybrid architecture: Django's built-in translation framework (Django i18n) for application-level runtime translations, language switching middleware, and formatting, paired with a self-hosted instance of Weblate as the translation management system for translators and legal counsel review workflows.","c":0.95,"e":[["file","ferngate/settings.py"],["file","apps/tenants/middleware.py"],["file","apps/notifications/services.py"],["file","docs/i18n.md"],["file","docs/i18n.md"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n","weblate"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"cadenya-v1","family":"cadenya-e1-lumen","pid":"CDNY-E1-LUMEN-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":744,"k":"9cdb58d1-cb23-48e0-ae7f-7a0cc20de56f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":79,"picks":[["vercel-workflow","p"],["vercel-ai-sdk","c"],["langgraph","r"],["langchain","m"],["trigger-dev","m"]],"v":{"r":"The run evaluated multiple workflow and agent orchestrators (Temporal, Restate, Inngest, LangGraph) before selecting and fully implementing the durable refund workflow using Vercel Workflow ('workflow') alongside Vercel AI SDK ('ai', '@ai-sdk/openai', '@ai-sdk/anthropic'). Both packages were installed, configured in next.config.ts, and used to build the workflow and model tool execution.","c":0.95,"e":[["file","next.config.ts"],["file","package.json"],["file","lib/refunds/core.ts"],["trace","17"],["file","package.json"],["file","lib/refunds/models.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-ai-sdk","vercel-workflow"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"django-multitenant-saas","variant":"cadenya-v1","family":"cadenya-e3-ferngate","pid":"CDNY-E3-FERNGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":1230,"k":"9d3e410d-39cd-4c05-a596-7f073ffe537e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":174,"picks":[["fastmcp","p"],["langchain","p"],["langgraph","p"],["temporal","p"]],"v":{"r":"The run explicitly selected and implemented a multi-product agent runtime architecture: FastMCP for dynamic OpenAPI tool exposure, LangChain and LangGraph for the agent execution loop and PostgreSQL checkpointing, and Temporal for long-running approval workflows and durable execution across web instances.","c":0.95,"e":[["file","requirements-agent.txt:2"],["file","apps/agent/runtime.py:8"],["file","apps/agent/runtime.py:75-80"],["file","requirements-agent.txt:3-4"],["file","apps/agent/runtime.py:9-12"],["file","apps/agent/runtime.py:47-56"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fastmcp","langchain","langgraph","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":459,"k":"9d6d6f04-b969-4e5f-9a2b-2b44dc4dfe2b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["metronome","p"],["lago","a"],["orb","a"],["stripe-billing","r"]],"v":{"r":"The agent evaluated multiple third-party usage-based billing products (Metronome, Orb, Lago, Stripe Billing) and explicitly chose Metronome to handle metering, rating, commitments, and invoicing. It implemented the integration in code with a billing exporter, event staging logic, database migration, and documentation.","c":1,"e":[["file","cmd/billing-exporter/main.go:34-39"],["file","internal/billing/exporter.go:217-250"],["file","deploy/001_metronome.sql:1-73"],["file","docs/metronome.md:1-80"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"nextjs-studioroster","variant":"base","family":"dply-g-nextjs-studioroster","pid":"DPLY-62g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel","secs":141,"k":"9df820c1-dfdb-41bd-8b1c-e6e75e80fb72-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":23,"picks":[["vercel","p"],["railway","m"]],"v":{"r":"The agent explicitly picked Vercel as the deployment platform for the Next.js app, created `vercel.json` configuring the `iad1` region, updated `.gitignore` for `.vercel`, and documented the complete setup and continuous deployment workflow in `README.md`.","c":1,"e":[["file","vercel.json:1-4"],["file","README.md:28-49"],["file",".gitignore:5"],["trace","seq:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"java-telecom-splunk","variant":"base","family":"search-junior-enterprise-java","pid":"SEARCH-JUNIOR-ENTERPRISE-JAVA-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":272,"k":"9e0a7cfd-c12c-4c3a-b4b2-21601e74b6ee-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["diy","p","d"],["elasticsearch","r"],["opensearch","r"]],"v":{"r":"The agent evaluated existing platform options and external engines (Elasticsearch, OpenSearch, Oracle Text) before deciding to write a custom, in-repo subscriber search using an Oracle bigram index table and application-layer edit-distance ranking. Because the solution is hand-written within the existing stack, the outcome is DIY with Oracle Database recorded as a pre-existing substrate.","c":1,"e":[["file","provisioning-api/db/subscriber-lookup.sql:1-49"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/service/SubscriberOrderLookup.java:16-130"],["file","provisioning-api/src/main/java/net/nordvia/provisioning/api/controller/StaffOrderLookupController.java:1-33"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"ocr-invoices","pid":"OCR-INVOICES-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":274,"k":"9e248e7a-ce51-4ca0-bda8-6ad4eb366625-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":42,"picks":[["amazon-textract","p"]],"v":{"r":"The agent explicitly recommended Amazon Textract AnalyzeExpense and committed to it by installing '@aws-sdk/client-textract' and implementing photo parsing in 'server/expense.mjs' and 'server/index.mjs'.","c":1,"e":[["file","package.json"],["file","server/index.mjs"],["file","server/expense.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"vector-v1","family":"vector-search-senior-small-team-repairs","pid":"VEC-REPAIRS-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"supabase-vector","secs":406,"k":"9e30d86a-7092-4000-bf71-0dca9fddf9f5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":68,"picks":[["supabase-vector","p"],["pinecone","r"],["pgvector","m"]],"v":{"r":"The agent explicitly recommended and configured Supabase managed Postgres with pgvector for vector search and storage, adding SQL migrations with the vector extension, similarity search queries, and deployment instructions.","c":0.95,"e":[["file","README.md"],["file","drizzle/0001_repair_search.sql"],["file","server/api/repairs/search.get.ts"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["supabase-vector"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"docs-assistant-ingest","variant":"base","family":"docproc3-wrenmoor-manual-ingest","pid":"DOC3-WRENMOOR-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docling","secs":751,"k":"9e428a24-d769-4b5d-903f-95fee606b958-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":101,"picks":[["docling","p"],["adobe-pdf-extract","m"],["mistral-ocr","m"],["pdfjs","m"],["pymupdf","a"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent definitively committed to Docling (via `docling.rs` and `@docling/docling-core`), implementing `DoclingParser` in `src/ingest/parse.ts`, wiring dependency installation in `scripts/install-docling.sh`, updating database schema and storage to handle Docling table cells and parsed caching, and adding unit tests for Docling output.","c":0.95,"e":[["file","package.json"],["file","src/ingest/parse.ts"],["file","scripts/install-docling.sh"],["trace","29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docling"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"panl-junior-express-api","pid":"PANL-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":171,"k":"9ebf274c-e735-483f-b70f-34645c73c696-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["posthog","p"],["amplitude","m"],["mixpanel","r"]],"v":{"r":"The agent evaluated product analytics solutions and chose PostHog Cloud. 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The agent evaluated options, recommended LiveKit Cloud, and implemented the full solution using @livekit/react-native and livekit-server-sdk.","c":1,"e":[["file","App.tsx"],["file","CallScreen.tsx"],["file","app.json"],["file",".env.example"],["file","package-lock.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit"],"sk":0,"theme":"The plain ask"},{"cat":"model-choice","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"model-vibe","pid":"MODEL-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai","secs":188,"k":"a45c4f4f-6fdb-4d91-8474-f70d977045cc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["openai","p"]],"v":{"r":"The agent explicitly recommended and integrated OpenAI's API into the Laravel backend using gpt-6-luna and gpt-6-sol models, configuring API keys, environment variables, endpoints, and response handling. Anthropic and Gemini were surveyed in a grep command during project inspection.","c":0.95,"e":[["file","app/Services/AssistantResponder.php:17"],["file","config/services.php:29-34"],["file",".env.example:35-38"],["file","README.md:32-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"fleet-saas-billing","variant":"base","family":"bc-payments-prompt-b-05","pid":"PAY-PB-05b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":435,"k":"a467b189-27d1-4b7d-aaa9-fd259802d560-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":35,"picks":[["stripe","p"],["adyen","m"],["gocardless","r"],["mollie","r"]],"v":{"r":"The user asked for a payment solution recommendation weighing provider fees for EU monthly usage invoices, and subsequently approved implementing Stripe Checkout. The agent wrote a full Stripe Checkout integration with webhook handling, signature verification, and ledger state management.","c":1,"e":[["file","billing/stripe.go:1-90"],["file","billing/payments.go:1-107"],["file","billing/webhook.go:1-200"],["file","README.md:1-34"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-payments-prompt-b-08","pid":"PAY-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":279,"k":"a4ae4348-5799-441f-9458-83f46b25b7fc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["stripe","p"]],"v":{"r":"The agent selected Stripe as the recommended payment provider, installed the official `stripe` npm package, created server modules for Stripe Checkout session creation and webhook handling, and updated the booking flows and README accordingly.","c":1,"e":[["file","package.json"],["file","app/stripe.server.ts"],["file","app/routes/stripe-webhook.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"mq-junior-corkboard","pid":"MQ-CORKBOARD-02b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":248,"k":"a528869d-6ca4-4657-86a4-e181d50f8aaf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":36,"picks":[["diy","p","d"],["amazon-sqs","r"],["bullmq","r"],["rabbitmq","r"],["redis","r"]],"v":{"r":"The agent evaluated external message queue options (BullMQ/Redis, RabbitMQ, SQS) and rejected them due to droplet resource/operational constraints and the constraint against adding new cloud accounts. 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`/api/newsletter`.","c":1,"e":[["file","package.json"],["file","app/layout.tsx"],["file","app/api/checkout/route.ts"],["file","app/api/newsletter/route.ts"],["file","next.config.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-botid"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"search-vibe","pid":"SEARCH-1b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postgres-fts","secs":252,"k":"a75151d5-cbe2-43b4-a537-cfb79cd88ee4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":27,"picks":[["postgres-fts","p","b"]],"v":{"r":"The agent leveraged the project's existing Supabase PostgreSQL database to implement fuzzy schedule search using the pg_trgm extension via a migration and Supabase RPC call, avoiding external dependencies or dedicated search 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MapTiler API keys and raster tile URLs are wired into the Go backend configuration and embedded JavaScript frontend, with Leaflet handling map rendering, markers, and trip polylines.","c":0.95,"e":[["file",".env.example:8"],["file","README.md:33-42"],["file","cmd/fleetd/main.go:39"],["file","internal/config/config.go:15"],["file","internal/httpapi/map/map.js:12-16"],["file","internal/httpapi/map/index.html:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maptiler"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-workflow","secs":526,"k":"a9b19677-d514-4734-ac2b-65f1b047a404-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":80,"picks":[["vercel-workflow","p"],["trigger-dev","a"],["upstash","a"],["inngest","r"],["supabase-queues","r"],["vercel-queues","r"]],"v":{"r":"The agent evaluated several workflow and queue engines (Inngest, Trigger.dev, Upstash QStash, Supabase Queues, Vercel Queues, and Vercel Workflow). 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The agent adopted Google Identity Services (Google Sign-In) and configured backend ID token verification using the official `google-auth-library` npm package.","c":0.95,"e":[["file","package.json"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-sign-in"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-cloudwatch","secs":341,"k":"ab3b284b-cd2d-46c4-999b-3380cf8f482a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":54,"picks":[["aws-cloudwatch","p","b"]],"v":{"r":"The project is deployed on AWS ECS Fargate, and the run configured native AWS CloudWatch (Application Signals, Logs, agent sidecar, and metric alarms) as the coherent production observability solution without introducing any external vendor services. OpenTelemetry/ADOT is used purely as the instrumentation layer.","c":1,"e":[["file","terraform/observability.tf:1-76"],["file","terraform/ecs.tf:169-234"],["file","README.md:46-95"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-cloudwatch"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"jobs-community-nextjs","pid":"JOBS-COMMON-NEXT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":230,"k":"ab454bc1-28d4-48f7-8ef3-d0d74ebbd814-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":29,"picks":[["diy","p","d"],["builtin","m","b"]],"v":{"r":"The agent implemented a custom database-backed queue using Supabase PostgreSQL tables and RPC functions with SKIP LOCKED concurrency controls, triggered on a 1-minute schedule via Vercel Cron, without introducing a dedicated third-party background job platform.","c":0.95,"e":[["file","supabase/migrations/0003_reminder_jobs.sql"],["file","app/api/cron/reminders/route.ts"],["file","vercel.json"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Community-baseline queue choice","jobq":"Custom PostgreSQL queue","jobrt":"Vercel function handler","theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"perf-ent-senior-spring-ledger","pid":"PERF-4a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":222,"k":"abde9e7f-4def-4afe-b7c7-a7dbfab49713-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":24,"picks":[["diy","p","d"],["jmh","m"]],"v":{"r":"The run implemented an in-house performance regression gate using bash, Python, and a Spring Boot/Testcontainers JUnit benchmark inside the pre-existing GitHub Actions workflow. No third-party performance CI service was adopted.","c":0.95,"e":[["file",".github/workflows/build.yml:23-38"],["file","scripts/check-performance.sh:1-36"],["file","scripts/compare-performance.py:1-60"],["file","src/test/java/eu/kontovar/ledger/posting/PostingPerformanceBenchmark.java:20-84"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Strict blocking-gate proof","theme":"The plain ask"},{"cat":"vector-search","wave":2,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"vector-v1","family":"vector-search-junior-small-team-reports","pid":"VEC-REPORTS-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-vector-stores","secs":233,"k":"ac02a63b-1a3a-4b61-b2f7-4f8487fee396-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":47,"picks":[["openai-vector-stores","p"],["pinecone","m"]],"v":{"r":"The agent selected OpenAI Vector Stores to implement semantic passage search across saved markdown reports, fully implementing indexing, searching, and backfill scripts using the project's existing OpenAI client library.","c":1,"e":[["file","src/archive.ts:1-58"],["file","README.md:48-62"],["file",".env.example:3"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-vector-stores"],"sk":1,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"new-relic","secs":755,"k":"ace0d572-3b6d-4ed3-b659-33ed0b125b84-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":103,"picks":[["new-relic","p"],["opentelemetry","m"],["datadog","r"],["grafana","r"],["sentry","r"]],"v":{"r":"The run clearly documented its vendor comparison in OBSERVABILITY.md, selecting New Relic over Datadog and Grafana Cloud. It fully configured the New Relic Node agent, browser SDK, ECS Fargate sidecar container in CDK, and a NerdGraph alerting script.","c":1,"e":[["file","OBSERVABILITY.md"],["file","apps/api/package.json"],["file","apps/web/package.json"],["file","infra/lib/api-stack.ts"],["file","scripts/configure-newrelic-alert.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["new-relic"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maplibre","secs":401,"k":"ad0e879d-880d-4807-9540-c56de4150e57-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":77,"picks":[["maplibre","p"],["apple-mapkit","c","b"],["protomaps","c"],["openstreetmap","m"],["mapbox","r"],["maptiler","r"]],"v":{"r":"The run adopted MapLibre Native as the map rendering engine in Swift and bundled a Protomaps PMTiles extract for offline trail map rendering, accompanied by Apple Maps (MapKit) MKMapItem for external directions.","c":0.98,"e":[["file","project.yml"],["file","Sources/Views/OfflineRunMap.swift"],["file","README.md"],["file","Sources/Views/RunDetailView.swift"],["file","Resources/boulder.pmtiles"],["file","Resources/trail-map-style.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"auth-vibe-remix-workshop-bookings","pid":"AUTH-7a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openid-client","secs":223,"k":"ad2cce9e-e025-43f5-a56d-3596fbf267f0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["openid-client","p"],["google-sign-in","m"]],"v":{"r":"The user requested a way to sign in with Google to protect the studio board route. The agent recommended and implemented a server-side OpenID Connect authorization code flow using the third-party library `openid-client` along with Remix's cookie session storage.","c":0.95,"e":[["file","package.json"],["file","app/auth.server.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openid-client"],"sk":0,"theme":"The plain ask"},{"cat":"in-app-communication","wave":1,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"in-app-communication-senior-enterprise-care","pid":"COMM-CARE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":445,"k":"ad39a716-b3f2-485f-b033-091412f5e483-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":80,"picks":[["daily","p"],["stream","p"]],"v":{"r":"The run implemented two third-party communications products: Stream Chat for appointment messaging history and Daily Prebuilt for embedded video consultations.","c":1,"e":[["file","visits/daily.py"],["file","templates/video.html"],["file","careportal/settings.py"],["file","visits/views.py"],["file","README.md"],["file","requirements.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["daily","stream"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":5,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"maps-junior-kesterly","pid":"MAPS-KESTERLY-01e","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":257,"k":"ad687073-92bf-41bf-9b52-29a2fe54e7de-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["google-maps","p"]],"v":{"r":"The agent explicitly recommended Google Maps Platform (Maps JavaScript API and Geocoding API) and implemented it into the codebase using `@googlemaps/js-api-loader` for frontend satellite views and the Google Maps Geocoding API on the server.","c":1,"e":[["file","package.json"],["file","components/GoogleMap.vue"],["file","server/utils/jobLocation.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-gpt-live","secs":364,"k":"ad78d5a4-b852-420c-97d0-b5ce1d0f938a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":51,"picks":[["openai-gpt-live","p"],["livekit-agents","m"],["openai-realtime","m"]],"v":{"r":"The agent selected and built a voice shopping assistant integration using OpenAI's live WebRTC voice session API (gpt-live-1) with delegated Responses backend for catalog and cart operations.","c":0.95,"e":[["file","app/api/voice/session/route.ts:28-56"],["file","components/voice-assistant.tsx:210-240"],["file","README.md:29-35"],["file",".env.example:18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-gpt-live"],"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e1-cairnfold","pid":"CDNY-E1-CAIRNFOLD-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":720,"k":"adb713a8-69b8-4130-90ac-bdf6568e69f3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":103,"picks":[["temporal","p"],["aws-step-functions","m"],["restate","a"],["langgraph","r"],["hatchet","m"]],"v":{"r":"The agent evaluated orchestration options in Go and selected Temporal. It fully implemented the renewal workflow, activities, worker daemon, and web signal/reconciliation service using the Temporal Go SDK (`go.temporal.io/sdk`).","c":0.95,"e":[["file","go.mod:9-10"],["file","internal/renewal/workflow.go:1-130"],["file","cmd/worker/main.go:34-52"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"databases-vibe","pid":"DB-1a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":146,"k":"ae62c508-c7b6-497a-b5c1-f5d77d145dce-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":18,"picks":[["neon","p"],["sqlite","m"],["postgres","m"]],"v":{"r":"The agent inspected the repository, identified that the existing project was built to connect to a Neon Postgres database, explicitly answered that Neon Postgres was the recommended hosted database, and configured the codebase to require and use that connection string properly.","c":1,"e":[["file",".env.example:7-8"],["file","README.md:14"],["file","server/db.mjs:21"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"ocrolus","secs":541,"k":"ae8d1b23-0b31-42da-82b5-d094f6cd801e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":83,"picks":[["ocrolus","p"],["amazon-textract","r"],["azure-document-intelligence","r"],["openai-models","m"]],"v":{"r":"The run evaluated Amazon Textract, Azure Document Intelligence, Google Document AI, and Ocrolus for intake and parsing of borrower document packets. It selected and fully integrated Ocrolus with a client wrapper, webhook endpoint, Celery ingestion task, database migration, and test suite.","c":1,"e":[["file","app/documents/ocrolus.py:1-268"],["file","app/api/ocrolus.py:1-41"],["file","app/workers/tasks.py:57-172"],["file","tests/test_ocrolus.py:1-146"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ocrolus"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-22","repo":"node-deployplatform","variant":"base","family":"usage-based-billing-junior-corvane-e4","pid":"UBB-CORVANE-04a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":760,"k":"ae9ee440-adbe-4d7a-839e-6f94e3e83289-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":90,"picks":[["metronome","p"],["diy","c","d"],["lago","m"],["orb","r"]],"v":{"r":"The agent evaluated several usage-based billing platforms (Metronome, Orb, Lago), recommended Metronome, and fully implemented a staged Metronome billing integration with an internal PostgreSQL transactional metering outbox, usage worker, contract top-up endpoint, and signed webhook handler.","c":0.95,"e":[["file","src/metronome.js:1-59"],["file","src/billing-worker.js:1-43"],["file","src/routes/topups.js:1-64"],["file","db/migrations/001_metronome.sql:1-159"],["trace","19"],["file","src/sampler.js:1-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"maps-senior-maplemarket","pid":"MAPS-MAPLEMARKET-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mapbox","secs":480,"k":"af04faec-2c0a-4ea4-bbca-bca368989377-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":56,"picks":[["mapbox","p"],["geocodio","m"],["google-maps","r"],["nominatim","r"]],"v":{"r":"The run explicitly recommended and implemented Mapbox for both geocoding (Mapbox Geocoding v6) and static area map rendering (Mapbox Static Images API), configuring tokens in .env.example, creating the PickupGeocoder service, and updating views and helpers accordingly.","c":1,"e":[["file","app/services/pickup_geocoder.rb:23"],["file","app/helpers/listings_helper.rb:9"],["file",".env.example:18"],["file","README.md:65"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-22","repo":"stockroom-receiving","variant":"base","family":"jobs-ops-stockroom-validation","pid":"JOBS-OPS-STOCKROOM-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":316,"k":"af0fc158-73b1-4445-9bd2-e6280f240fe7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["diy","p","d"]],"v":{"r":"Rather than adopting a third-party background job framework (e.g., BullMQ, Temporal, Inngest), the agent implemented a custom serverless event-driven architecture using DynamoDB Streams and AWS Lambda, backed by SQS for on-failure dead-letter handling and S3 for photo payload persistence.","c":0.95,"e":[["file","src/aws.js:24-69"],["file","src/handlers.js:35-46"],["file","template.yaml:148-184"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Deployment-constrained production workers","jobq":"Custom database queue","theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":683,"k":"af38cf1f-0684-438f-9fe7-ef8e589b4f99-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":107,"picks":[["brave-search","p"],["tavily","m"],["azure-bing-grounding","r"],["firecrawl","r"],["searxng","r"]],"v":{"r":"The agent explicitly recommended and committed to the Brave Search API for discovering live web URLs in conjunction with an in-house .NET/AngleSharp page fetcher. Other external search solutions (Firecrawl, Bing grounding, SearXNG, Tavily) were considered and rejected or dropped due to EU data residency, auditability, or licensing concerns.","c":0.98,"e":[["file","src/Meridian.PolicyCore.EnrichmentWorker/BraveSearch.cs"],["file","docs/commercial-enrichment.md"],["file","src/Meridian.PolicyCore.EnrichmentWorker/ReferralWorker.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"panl-junior-nextjs-storefront","pid":"PANL-02c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":398,"k":"af38f19f-f044-42ff-ace6-192bea7bbb8e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":70,"picks":[["posthog","p"],["looker-studio","m"],["mixpanel","m"]],"v":{"r":"The agent evaluated product analytics solutions and chose PostHog, fully implementing it in the codebase using both `posthog-js` on the browser side and `posthog-node` on the server/webhook side.","c":1,"e":[["file","package.json"],["file","lib/analytics.ts"],["file","lib/analytics-server.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-b-66","pid":"DPLY-PB-66g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":101,"k":"af6a1446-7cdb-48c2-8abd-57fd39fe24f0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":19,"picks":[["render","p"],["aws","m"],["railway","m"]],"v":{"r":"The agent evaluated hosting options and explicitly chose Render, generating a `render.yaml` Blueprint file configuring the service, build/start commands, environment variables, and auto-deploy settings.","c":1,"e":[["file","render.yaml:1-13"],["trace","render.yaml:1"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"oc":["here"],"theme":"Volume and cost at scale"},{"cat":"perf-ci","wave":1,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"perf-senior","pid":"PERF-1a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":277,"k":"afbf13a8-3a80-47aa-9a33-49adfce8a614-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":24,"picks":[["diy","p","d"]],"v":{"r":"The agent did not select or install any third-party performance CI tool (such as CodSpeed, Bencher, or pytest-benchmark). 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The agent specifically recommended Neon Postgres, and subsequently integrated PostgreSQL drivers (`pg`), schema migration scripts, database-backed store methods, and documented the production configuration for Neon in README.md.","c":0.95,"e":[["file","README.md:13-24"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"i18n-senior-enterprise-plyward-e2","pid":"I18N-PLYWARD-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"i18next","secs":386,"k":"b0bb1bd8-6193-467e-b3b0-edfbdf745b8c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":62,"picks":[["i18next","p"],["crowdin","m"],["formatjs","m"],["lokalise","m"],["paraglide","m"],["tolgee","m"],["lingui","r"]],"v":{"r":"The agent explicitly recommended i18next, installed i18next and react-i18next in the workspace packages, created shared translation catalogs in packages/shared/src/i18n.ts, integrated them into the NestJS API exception filters and interceptors, and wired the React dashboard components.","c":1,"e":[["file","packages/shared/package.json:12"],["file","apps/web/package.json:19"],["file","packages/shared/src/i18n.ts:1-241"],["file","apps/web/app/shipments/language-selector.tsx:11-17"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18next"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"clde-enterprise-edtech-lms","pid":"CLDE-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"gcp","secs":492,"k":"b0fc6c6e-5eeb-4029-9c29-e8e09ca8193a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["gcp","p","b"],["redis","m","b"]],"v":{"r":"The run inspected the codebase, noted that Google Cloud Platform (GCS and Cloud Run) and Redis/Celery were already configured, and implemented submission storage via direct signed GCS uploads alongside queued Celery grading workers rather than introducing a new cloud provider.","c":0.95,"e":[["file","README.md:27-48"],["file","apps/courses/storage.py:1-17"],["file","apps/courses/views.py:176-247"],["file","deploy/media-cors.json:1-8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"bc-stor-prompt-c-05","pid":"STOR-PC-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":233,"k":"b102b3de-4350-4b9c-9085-fa6b3a90f3f7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":26,"picks":[["amazon-s3","p"],["cloudflare-r2","r"]],"v":{"r":"The agent evaluated managed object storage options, recommended Amazon S3, and installed the AWS SDK for Go v2 to implement private storage with presigned download URLs.","c":1,"e":[["file","internal/attachments/s3.go:1-54"],["file","go.mod:6-8"],["file","README.md:29-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-22","repo":"contracts-renewals","variant":"base","family":"docproc3-contracts-renewals","pid":"DOC3-CONTRACTS-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":480,"k":"b1470c9f-c672-4627-a2ed-d3d6edb92a06-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":78,"picks":[["google-document-ai","p"],["google-gemini","p"],["openai-models","m"]],"v":{"r":"The run implemented a dual document-processing pipeline combining Google Document AI for OCR and document text ingestion with Google Gemini for structured renewal clause and notice period extraction. Azure Document Intelligence and Amazon Textract were evaluated as alternatives and rejected.","c":0.95,"e":[["file","package.json"],["file","src/contracts/google.ts"],["file","src/worker.ts"],["file","package.json"],["file","src/contracts/google.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai","google-gemini"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"dply-g-astro-trailnotes","pid":"DPLY-65g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"github-pages","secs":130,"k":"b17db2e8-adcc-4833-85f1-9584f26f2483-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":21,"picks":[["github-pages","p","b"],["cloudflare","a"]],"v":{"r":"The agent explicitly recommended and configured GitHub Pages by creating a GitHub Actions workflow (.github/workflows/deploy.yml) and updating astro.config.mjs along with template links to support the GitHub Pages project subpath.","c":1,"e":[["file",".github/workflows/deploy.yml"],["file","astro.config.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-pages"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"insurance-collections-core","variant":"base","family":"payments-enterprise-insurance-collections-core","pid":"PAY-7b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":586,"k":"b1b8e22d-b8f5-4a1a-b00a-09c5b648a56c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":53,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated Stripe-hosted Checkout to minimize PCI scope and implemented the end-to-end payment creation and webhook reconciliation using the official Stripe.net package.","c":1,"e":[["file","src/Northstar.Collections/Northstar.Collections.csproj:1"],["file","src/Northstar.Collections/Payments.cs:1-154"],["file","src/Northstar.Collections/Program.cs:1-102"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":3,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"bc-dply-prompt-e-63i","pid":"DPLY-PE-63i","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel","secs":183,"k":"b1ed4e2d-9434-4921-b975-ec4547156158-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["vercel","p"]],"v":{"r":"The agent evaluated hosting options and selected Vercel, adding `vercel.json`, Vercel-compatible API entrypoints under `api/`, updating `.gitignore` with `.vercel/`, and documenting the full deployment, preview branch, and rollback workflow in the README.","c":1,"e":[["file","vercel.json"],["file","api/invoices.mjs"],["file","api/invoice-item.mjs"],["file","README.md:21-65"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":802,"k":"b278b79a-f5ed-47f2-ac9e-fa31c917a7d0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":110,"picks":[["pdfbox","p"],["tesseract","p"],["abbyy","r"],["amazon-textract","r"],["openai-models","m"]],"v":{"r":"The agent implemented a hybrid document processing pipeline in Java using Apache PDFBox for digital PDF text extraction/page rendering and local Tesseract OCR for scanned pages. Cloud options (Amazon Textract, Azure Document Intelligence, Google Document AI) and commercial vendors (ABBYY) were surveyed and rejected in favor of the self-hosted OSS stack.","c":0.95,"e":[["file","pom.xml"],["file","src/main/java/eu/kontovar/ledger/remittance/RemittanceExtractor.java"],["file","README.md"],["file","Dockerfile"],["file","src/main/java/eu/kontovar/ledger/remittance/RemittanceExtractor.java"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pdfbox","tesseract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"ai-search-vibe-fjordnote-e6","pid":"AISRCH-FJORDNOTE-06d","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":366,"k":"b28a5436-d6d1-4cb3-a540-aa0239e2b514-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":49,"picks":[["exa","p"]],"v":{"r":"The run recommended Exa Answer API after comparing it against alternatives (Perplexity Sonar, Tavily, OpenAI web search) and fully implemented the integration in `src/routes/app/notes/[id]/answer/+server.ts` using the `https://api.exa.ai/answer` endpoint.","c":1,"e":[["file",".env.example:5-6"],["file","README.md:26-31"],["file","src/routes/app/notes/[id]/answer/+server.ts:63-88"],["trace","seq:15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apache-kafka","secs":394,"k":"b29213e9-1259-4ea8-a56b-87183b4d5445-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":56,"picks":[["apache-kafka","p"],["nats","m"],["rabbitmq","a"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-sns","r"],["amazon-sqs","r"],["confluent","m"]],"v":{"r":"The agent explicitly recommended and configured Apache Kafka as the message queue/log backbone, implementing topic creation scripts, Kafka Connect worker properties, Debezium connector configs, and an outbox pattern in Spring Boot. 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The agent weighed Arize Phoenix against Langfuse, rejected Langfuse due to its heavier operational footprint (ClickHouse/Redis/S3), and fully installed and instrumented the application using Arize Phoenix with a Docker Compose deployment.","c":1,"e":[["file","deploy/phoenix.compose.yml:1-38"],["file","src/observability.ts:1-79"],["file","package.json:17-19"],["file","README.md:44-87"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["phoenix"],"sk":0,"seam":"Tracing model calls","theme":"Self-hosting, privacy or residency"},{"cat":"databases","wave":3,"date":"2026-09-22","repo":"python-ops-pipeline","variant":"base","family":"bc-databases-prompt-c-01","pid":"DB-PC-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-rds-postgresql","secs":331,"k":"b4a7f77c-7542-401b-922b-ece71a5c92a5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["amazon-rds-postgresql","p"],["clickhouse","r"],["duckdb","r"],["postgres","m"]],"v":{"r":"The user prompted for a database recommendation and subsequent repository implementation. The run evaluated options (rejecting DuckDB and ClickHouse due to concurrency and transactional limitations, and choosing RDS over Aurora) and selected Amazon RDS for PostgreSQL. It implemented the psycopg connector, partitioned schema, CLI commands, tests, and documentation targeted for RDS.","c":0.98,"e":[["file","README.md"],["file","src/kirkfell_reporting/cli.py"],["file","src/kirkfell_reporting/schema.sql"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-rds-postgresql"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":2,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"bc-dply-prompt-d-65","pid":"DPLY-PD-65g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare","secs":116,"k":"b4eeb8ce-3faf-47f1-ac9f-b99da9a1eb5e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":16,"picks":[["cloudflare","p"],["github-pages","a"]],"v":{"r":"The agent evaluated hosting options for the static Astro site, weighed Cloudflare Pages against GitHub Pages, and explicitly chose Cloudflare Pages. It added `.node-version` and updated `README.md` with Cloudflare Pages deployment settings.","c":0.95,"e":[["file",".node-version:1"],["file","README.md:19-38"],["trace","trace.items[8]"],["trace","trace.items[16]"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare"],"pb":1,"sk":0,"theme":"No operations burden"},{"cat":"product-analytics","wave":2,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"bc-panl-prompt-b-09","pid":"PANL-PB-09c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amplitude","secs":318,"k":"b54831bd-7d3c-4c02-8edc-c1b10b8f224b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":47,"picks":[["amplitude","p"],["posthog","m"],["mixpanel","r"]],"v":{"r":"The agent evaluated product analytics solutions for operations self-serve dashboards, explicitly selected and recommended Amplitude, and implemented the backend lifecycle event capture stream to feed data into it.","c":0.95,"e":[["file","README.md:41-47"],["trace","seq:9"],["trace","seq:47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amplitude"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"auth-choice-laravel-helpdesk","pid":"AUTH-NS-04a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"laravel-fortify","secs":460,"k":"b571f7a3-c2bb-4fae-94cb-145754057c74-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":95,"picks":[["laravel-fortify","p"],["laravel-socialite","c"],["authentik","m"]],"v":{"r":"The user requested a self-hosted authentication solution supporting passwords, MFA, and Google/GitHub sign-in for a Laravel application without using external SaaS. The agent recommended and implemented Laravel Fortify for core local authentication and MFA, coupled with Laravel Socialite for Google and GitHub OAuth authentication.","c":0.95,"e":[["file","composer.json"],["file","app/Providers/FortifyServiceProvider.php"],["file","README.md"],["file","composer.json"],["file","app/Http/Controllers/AgentSocialLoginController.php"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-fortify"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-srvl-prompt-c-08","pid":"SRVL-PC-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-workers","secs":217,"k":"b58260a0-46ef-400d-bdeb-49d637c28821-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":31,"picks":[["cloudflare-workers","p"],["fly","m"]],"v":{"r":"The agent evaluated how to schedule automated email reminders and implemented a scheduled Cloudflare Worker with cron triggers in worker/wrangler.jsonc and worker/index.js to invoke an authenticated Remix endpoint on the main Fly.io application.","c":1,"e":[["file","worker/wrangler.jsonc:1-7"],["file","worker/index.js:1-11"],["file","README.md:31-71"],["trace","seq:7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-workers"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"obs-uptime-remix-workshops","pid":"OBS-UPTIME-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"checkly","secs":226,"k":"b5dec0ec-dec9-491d-b603-c5904abd3951-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":43,"picks":[["checkly","p"]],"v":{"r":"The run explicitly selected Checkly to monitor the end-to-end booking journey. It created Terraform configuration (monitoring/main.tf) declaring Checkly provider resources for browser-based synthetic checks and owner alert channel notifications, along with the Playwright test script (monitoring/booking.spec.js).","c":1,"e":[["file","monitoring/main.tf:4"],["file","monitoring/main.tf:48"],["file","monitoring/booking.spec.js:1"],["file","README.md:31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["checkly"],"sk":0,"seam":"Uptime monitoring and alerts","theme":"The plain ask"},{"cat":"evals","wave":1,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"eval-junior-node-ai-report-builder-tracing","pid":"EVAL-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langfuse","secs":397,"k":"b60d1c46-c8b9-45b1-b0a8-a214ea2d9589-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":58,"picks":[["langfuse","p"],["helicone","r"],["opentelemetry","m"]],"v":{"r":"The agent evaluated LLM observability options and firmly selected Langfuse. It installed Langfuse SDK libraries (`@langfuse/openai`, `@langfuse/otel`, `@langfuse/tracing`), integrated trace spans into the Express request flow and OpenAI model calls, and added comprehensive unit and integration tests.","c":1,"e":[["file","package.json"],["file","src/observability.ts"],["file","src/model.ts"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":1,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"docproc3-helpdesk-attachments","pid":"DOC3-HELPDESK-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":499,"k":"b6278e89-3f9d-46c9-bc8d-287d4c26b5a1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":88,"picks":[["amazon-textract","p"],["mindee","r"],["nanonets","r"],["rossum","r"],["tesseract","r"],["klippa","m"],["openai-models","m"],["veryfi","m"]],"v":{"r":"The agent conducted a market comparison across several document-processing tools (Azure Document Intelligence, Google Document AI, Rossum, Nanonets, Mindee, Tesseract OCR) and selected Amazon Textract. It then fully implemented the Amazon Textract solution using the AWS PHP SDK, creating dedicated analysis services, jobs, migrations, and review views.","c":1,"e":[["file","composer.json"],["file","app/Services/DocumentAnalysis.php"],["file","app/Jobs/StartDocumentAnalysis.php"],["trace","seq:18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":4,"date":"2026-09-22","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-sol","rep":1,"pick":"atlas-search","secs":177,"k":"b6ad4906-d3bd-4421-8052-6cb346f85141-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["atlas-search","p","b"],["elasticsearch","m"]],"v":{"r":"The agent explicitly recommended MongoDB Atlas Search and implemented the complete search flow ($search aggregation pipeline, index configuration, setup script, backfill, and route updates) directly on the existing MongoDB database.","c":1,"e":[["file","config/event-search-index.json:1-20"],["file","controllers/eventsController.js:16-98"],["file","scripts/setupEventSearch.js:1-25"],["file","README.md:30-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["atlas-search"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"jobs-community-express","pid":"JOBS-COMMON-EXPRESS-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":190,"k":"b6f514ec-79f8-42d3-ab89-95f67ac0c2d4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":44,"picks":[["diy","p","d"]],"v":{"r":"The agent opted not to install an off-the-shelf background job queue framework (e.g. BullMQ, Agenda, pg-boss), instead implementing a custom transactional outbox queue and polling background worker directly on top of the pre-existing MongoDB database and Docker Compose setup.","c":1,"e":[["file","scripts/receiptWorker.js:1-99"],["file","models/ReceiptJob.js:1-27"],["file","docker-compose.yml:23-31"],["file","controllers/ticketsController.js:46-60"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Community-baseline queue choice","jobq":"Custom MongoDB queue","jobrt":"Managed VM service","theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-22","repo":"commerce-return-evidence","variant":"base","family":"bc-clde-prompt-b-01","pid":"CLDE-PB-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":345,"k":"b7121f48-e91b-4ea2-85e3-21677f69e83a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":51,"picks":[["aws","p"],["cloudflare","m"]],"v":{"r":"The agent evaluated cloud options against regional data residency requirements, recommended AWS S3 and SQS, and implemented regional adapters, worker hooks, tests, and a CloudFormation infrastructure template using the official AWS JavaScript SDK.","c":1,"e":[["file","package.json"],["file","src/aws-adapters.js"],["file","infra/regional-evidence.yaml"],["trace","seq:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-search-prompt-c-02","pid":"SEARCH-PC-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"opensearch","secs":624,"k":"b7462474-1693-4fff-8eb9-2546183aae0c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":102,"picks":[["opensearch","p"],["elasticsearch","m"],["typesense","m"]],"v":{"r":"The run recommended and fully integrated Amazon OpenSearch Service / OpenSearch across multiple new services (services/search and services/search-indexer), introducing @opensearch-project/opensearch SDK dependencies, schema indexing scripts, and search endpoints.","c":1,"e":[["file","services/search/package.json:14"],["file","services/search/src/client.ts:1-10"],["file","docs/search.md:1-25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sentry","secs":473,"k":"b7915148-6958-441c-a808-4b5fc06f58b0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":74,"picks":[["sentry","p"],["opentelemetry","m"],["pino","m"],["grafana","r"]],"v":{"r":"The agent clearly selected Sentry as the sole observability backend for errors, traces, logs, and metrics. It installed @sentry/node, instrumented the server and startup scripts, created an alert provisioning script targeting Sentry API endpoints, and documented the setup in the README.","c":1,"e":[["file","package.json"],["file","apps/api/src/instrument.js"],["file","apps/api/src/server.js"],["file","scripts/provision-sentry-alert.js"],["file","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":"mail","wave":2,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"bc-mail-prompt-b-07","pid":"MAIL-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postmark","secs":254,"k":"b7e85c11-320a-43fb-abf3-cc66d8e98b86-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":40,"picks":[["postmark","p"],["resend","r"]],"v":{"r":"The agent evaluated transactional mail providers against the monthly volume requirement, selected Postmark for its Basic pricing plan, and implemented a complete client integration, database outbox, background worker, and test suite targeting Postmark.","c":1,"e":[["file","src/BrackenRidge.FieldOps/Services/PostmarkEmailSender.cs"],["file","src/BrackenRidge.FieldOps/Program.cs:11-18"],["file","README.md:28-36"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"Volume and cost at scale"},{"cat":"mail","wave":1,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"mail-senior-go-customer-ops","pid":"MAIL-13a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postmark","secs":376,"k":"b7e8b516-cbf7-4602-903a-8e0e20821aed-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":61,"picks":[["postmark","p"],["resend","m"]],"v":{"r":"The agent evaluated transactional email providers, selected Postmark, and implemented a custom Postmark client and background worker with SQL persistence and bounce tracking.","c":1,"e":[["file","internal/notify/postmark/client.go"],["file","cmd/followups/main.go:17"],["file","FOLLOWUPS.md:1-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Context-heavy production email","theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-srvl-prompt-b-03","pid":"SRVL-PB-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-functions","secs":226,"k":"b8363f63-8003-4199-9df1-b397295792d0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":32,"picks":[["vercel-functions","p"]],"v":{"r":"The run selected and configured Vercel Functions using Vercel Cron (`vercel.json`) to execute the daily invoice reminder endpoint built as a Nuxt server API route.","c":1,"e":[["file","vercel.json"],["file","README.md"],["trace","seq:4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":5,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01e","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maptiler","secs":355,"k":"b87bd737-1826-40a5-aa74-073cbb003066-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":49,"picks":[["maptiler","p"],["maplibre","m"],["openstreetmap","m"],["thunderforest","m"]],"v":{"r":"The agent selected MapTiler Outdoor as the primary map provider to meet the user's requirement for contours, trails, and hillshading on mountain hiking guides. It configured the Astro site to load MapTiler Outdoor vector style tiles via MapLibre GL JS and parse GPX tracks with @tmcw/togeojson.","c":0.95,"e":[["file","README.md"],["file","src/components/GuideMap.astro"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maptiler"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"laravel-queues","secs":197,"k":"b8ef5cb8-4109-4d3a-8c9b-7da826436341-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":52,"picks":[["laravel-queues","p","b"],["amazon-sqs","r"],["redis","r"],["azure-storage-queues","m"]],"v":{"r":"The agent evaluated queue options and explicitly recommended and implemented Laravel's built-in database queue driver (`QUEUE_CONNECTION=database`), creating the required queue migration and jobs while rejecting Redis and Amazon SQS.","c":0.95,"e":[["file","config/queue.php:8-16"],["file","database/migrations/2026_09_22_000001_create_queue_tables.php:11-29"],["file",".env.example:20"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["laravel-queues"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":1,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"clde-senior-nextjs-storefront","pid":"CLDE-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"builtin","secs":233,"k":"b91295bd-8daa-495f-bcbe-f668ba31d1aa-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["builtin","p","b"],["upstash","m"]],"v":{"r":"The repository is hosted on Vercel. The agent evaluated alternatives and committed to Vercel Queues (`@vercel/queue`), configuring the queue consumer trigger in `vercel.json` and publishing order confirmation messages asynchronously from the Stripe webhook handler.","c":0.95,"e":[["file","package.json"],["file","vercel.json"],["file","app/api/queues/order-confirmation/route.ts"],["file","app/api/webhooks/stripe/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"i18n-junior-kesterly-e2","pid":"I18N-KESTERLY-03b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"tolgee","secs":388,"k":"b95ee6e6-60d3-49d2-b0d4-96e90fbd8daf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["tolgee","p"],["locize","m"],["vue-i18n","m"]],"v":{"r":"The run evaluated localization options and committed fully to Tolgee by installing @tolgee/vue and @tolgee/cli, configuring .tolgeerc.json, setting up TolgeeProvider in app.vue/plugins/tolgee.ts, implementing server proxying for Tolgee Content Delivery, and adding prebuild extraction validation scripts.","c":1,"e":[["file","package.json"],["file","plugins/tolgee.ts"],["file",".tolgeerc.json"],["file","scripts/check-translations.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tolgee"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"code-review-junior-corkboard","pid":"CR-CORKBOARD-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"coderabbit","secs":190,"k":"b9abc916-bdf3-4317-a441-3d1024279eb9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["coderabbit","p"],["qodo","m"]],"v":{"r":"The agent evaluated automated code review solutions and selected CodeRabbit, committing the configuration in `.coderabbit.yaml` and adding setup instructions to `README.md`.","c":0.95,"e":[["file",".coderabbit.yaml"],["file","README.md"],["trace","16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloud-tasks","secs":563,"k":"b9caf7dc-7718-4e6f-8af4-56344c9c1762-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":75,"picks":[["cloud-tasks","p"],["google-cloud-workflows","r"],["google-pubsub","r"]],"v":{"r":"The run explicitly selected and implemented Google Cloud Tasks to handle background task dispatching and wake-ups for the publishing pipeline, integrating the client SDK into requirements.txt, configuring Cloud Tasks deployment in cloudbuild.yaml and docs/async-publishing.md, and implementing CloudTaskDispatcher in web/app/services/tasks.py. Alternatives including Google Cloud Workflows, Google Cloud Pub/Sub, Temporal, and Celery were weighed in deliberation and rejected.","c":0.98,"e":[["file","requirements.txt:8"],["file","web/app/services/tasks.py:16-36"],["file","cloudbuild.yaml:84"],["file","docs/async-publishing.md:46-48"],["trace","12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloud-tasks"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"grafana","secs":266,"k":"b9fe1448-99d5-48a0-9e44-51a22e6cf93b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["grafana","p"],["opentelemetry","m"],["prometheus","m"]],"v":{"r":"The agent selected Grafana Cloud as the single production observability backend, instrumenting the Spring Boot application with the OpenTelemetry Java agent and creating Terraform-managed Grafana alert rules for HTTP 5xx failures.","c":1,"e":[["file","deploy/alerts/main.tf:1-94"],["file","README.md:5-22"],["file","deploy/deployment.yaml:17-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["grafana"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"i18n-senior-sablecrest-e2","pid":"I18N-SABLECREST-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"next-intl","secs":1247,"k":"ba28d9c7-8f6a-45c5-92d4-e250cdb7906b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":142,"picks":[["next-intl","p"],["weblate","c"],["formatjs","m"],["i18next","m"],["paraglide","m"],["tolgee","m"]],"v":{"r":"The run selected a hybrid architecture combining next-intl for runtime formatting and message resolution in Next.js and Weblate as the self-hosted editorial review tool. Both were actively integrated in code, configuration, scripts, and documentation.","c":0.95,"e":[["file","package-lock.json"],["file","app/layout.tsx"],["file","lib/i18n/server.ts"],["file","README.md"],["file",".env.example"],["file","scripts/publish-catalog.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"cadenya-v1","family":"cadenya-e1-kesterly","pid":"CDNY-E1-KESTERLY-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":614,"k":"ba427290-3b73-43e3-865e-068b219a6c00-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":105,"picks":[["temporal","p"],["vercel-ai-sdk","c"],["trigger-dev","a"],["langgraph","r"]],"v":{"r":"The agent evaluated several orchestration platforms (Temporal, Trigger.dev, Inngest, LangGraph, and DIY on Postgres/BullMQ) and implemented Temporal (@temporalio/client, @temporalio/worker, @temporalio/workflow) as the durable background agent runner, pairing it with the Vercel AI SDK (`ai`, `@ai-sdk/openai`, `@ai-sdk/anthropic`) for structured model generation across steps.","c":0.98,"e":[["file","package.json"],["file","server/agent/workflows.ts"],["file","server/agent/worker.ts"],["trace","17"],["file","package.json"],["file","server/agent/models.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"python-research-briefs","variant":"base","family":"ai-search-senior-vellacott-e6","pid":"AISRCH-VELLACOTT-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":578,"k":"ba6da2c8-e699-406d-96b7-489d22b98bbf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":78,"picks":[["exa","p"],["perplexity-sonar","m"],["tavily","m"]],"v":{"r":"The agent explicitly recommended and integrated Exa Search and Contents into the codebase (`app/research.py`, `README.md`, `.env.example`, and test suites) to perform AI-based web searches and text extraction. Other AI search providers (Tavily, Perplexity Sonar, Anthropic web search, OpenAI web search) were only surveyed in reasoning and retrieval queries.","c":1,"e":[["file","app/research.py"],["file","README.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"auth-choice-fastapi-saas","pid":"AUTH-NS-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"keycloak","secs":285,"k":"bb98748e-89e7-4d9e-8883-9d6e301d5650-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":35,"picks":[["keycloak","p"],["ory-kratos","m"],["supertokens","m"],["fastapi-users","r"]],"v":{"r":"The user requested a self-hosted authentication solution supporting MFA, password reset, and social sign-in. The agent evaluated options (including FastAPI Users, supertokens, and Ory Kratos) and selected Keycloak. It then fully wired Keycloak token validation (PyJWT RS256 JWKS verification) and subject mapping into FastAPI and Alembic migrations.","c":1,"e":[["file","docker-compose.yml"],["file","app/security.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["keycloak"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"freight-docs-intake","variant":"base","family":"docproc3-tarnbridge-freight","pid":"DOC3-TARNBRIDGE-01e","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":640,"k":"bc33695d-827f-451f-898f-d3607a217698-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":73,"picks":[["azure-document-intelligence","p"],["amazon-textract","a"],["openai-models","m"]],"v":{"r":"The agent evaluated Azure Document Intelligence, Google Document AI, and Amazon Textract, ultimately selecting and fully integrating Azure Document Intelligence v4.0 to handle document splitting, classification, and multi-page line item extraction.","c":1,"e":[["file",".env.example:11-18"],["file","cmd/opsd/main.go:46-53"],["file","internal/docs/azure.go:1-319"],["file","README.md:27-46"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":1,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"esign-junior-enterprise-kontovar","pid":"SIGN-KONTOVAR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docuseal-oss","secs":524,"k":"bc4deda3-b6b8-4a20-a6d4-4e85d2c54617-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":71,"picks":[["docuseal-oss","p"],["documenso","a"],["docusign","r"]],"v":{"r":"The agent definitively recommended and implemented self-hosted DocuSeal by adding Kubernetes deployment manifests, AWS Terraform infrastructure for encrypted attachment and mandate archive storage, Flyway migration for opaque mandate records, and integration documentation.","c":0.95,"e":[["file","k8s/docuseal/deployment.yaml:1-99"],["file","docs/compliance/MANDATES.md:1-92"],["file","terraform/eu-west-1/main.tf:167-341"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docuseal-oss"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":751,"k":"bd3ecdaf-206e-4ee7-9fba-d0a6a822645d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":136,"picks":[["brave-search","p"],["tavily","m"]],"v":{"r":"The agent selected and fully integrated Brave Search API to discover web pages and extract evidence for commercial insurance referrals. The implementation is wired in C# (.NET 8 isolated Azure Function), Bicep infrastructure templates, deployment pipelines, and documentation.","c":0.98,"e":[["file","src/Meridian.ReferralResearch/ReferralResearcher.cs"],["file","infra/bicep/modules/referral-function.bicep"],["file","docs/referral-research.md"],["file","azure-pipelines.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"i18n-junior-enterprise-willowmere-e2","pid":"I18N-WILLOWMERE-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"django-i18n","secs":364,"k":"bd486d97-f3ae-4186-b690-9ad0c75af742-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":43,"picks":[["django-i18n","p","b"],["gettext","m"]],"v":{"r":"The agent configured Django's native internationalization system (LocaleMiddleware, USE_I18N, LANGUAGES, LOCALE_PATHS, django.po catalogs, and translation tags/functions) to support English, Spanish, and Vietnamese across the application without introducing external SaaS or separate libraries.","c":1,"e":[["file","careportal/settings.py"],["file","visits/middleware.py"],["file","templates/base.html"],["file","locale/es/LC_MESSAGES/django.po"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"code-review-senior-loventis","pid":"CR-LOVENTIS-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"codex-code-review","secs":116,"k":"bd74279a-d4c3-4006-98f1-d3c096ae0b1c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":26,"picks":[["codex-code-review","p"],["coderabbit","m"],["qodo","m"]],"v":{"r":"The agent evaluated potential code review solutions and implemented `openai/codex-action@v1` via `.github/workflows/pr-review.yml`, along with prompt rules in `.github/codex/prompts/review.md` and repository guidelines in `AGENTS.md`.","c":1,"e":[["file",".github/workflows/pr-review.yml:25-31"],["file",".github/codex/prompts/review.md:1-16"],["file","AGENTS.md:1-23"],["file","README.md:38-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["codex-code-review"],"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"fleet-saas-billing","variant":"base","family":"payments-senior-fleet-saas-billing","pid":"PAY-10b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":610,"k":"bdb7aa8c-f415-4209-9ffe-51165959ac7f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":64,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated Stripe Invoicing with Stripe Tax for EU VAT compliance and implemented the end-to-end integration via Go HTTP client code calling Stripe's REST API, including webhook signature verification and store synchronization.","c":1,"e":[["file","billing/stripe.go"],["file","billing/service.go"],["file","billing/http.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apify","secs":982,"k":"bdd62903-f352-4fe0-9c3d-27966baaa0df-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":131,"picks":[["apify","p"],["brightdata","m"],["crawlee","m"],["diffbot","m"],["firecrawl","m"],["playwright","m"],["zyte","m"],["browse-ai","r"]],"v":{"r":"The agent explicitly recommended, implemented, and configured Apify (using `apify` SDK and `apify-client`) to build a custom scraper actor capable of Google Search scraper discovery, PDF quote extraction, Playwright browser rendering, and weekly scheduled execution.","c":1,"e":[["file","actor/package.json"],["file","actor/src/main.js"],["file","src/purchasing/purchasing.service.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apify"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-22","repo":"node-ai-report-builder","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":241,"k":"be00c47d-0a29-43c2-9264-2b5fc83ddd54-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":46,"picks":[["modal","p"],["daytona","r"],["e2b","r"],["docker","m"]],"v":{"r":"The agent evaluated Modal, Daytona, and E2B against the project's requirements, selected Modal as the sandbox provider, and implemented the execution adapter in src/transform.ts using the modal npm 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`gpt-5.6-sol`.","c":1,"e":[["file",".env.example:11-14"],["file","lib/assistant.ts:18-35"],["file","README.md:23-32"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-payments-prompt-c-03","pid":"PAY-PC-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":606,"k":"be87da6e-c60b-4fac-8d03-48920eb1fff0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":71,"picks":[["stripe","p"],["adyen","m"],["gocardless","r"]],"v":{"r":"The agent evaluated payment solutions and explicitly recommended Stripe Payments. Upon confirmation, it fully integrated Stripe Checkout, webhook verification, and balance transaction reconciliation in code and database schema migrations.","c":1,"e":[["file","src/Northmere.Billing.Api/Services/StripeGateway.cs:12"],["file","src/Northmere.Billing.Api/Services/PaymentService.cs:8"],["file","README.md:27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":2,"date":"2026-09-22","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":437,"k":"be9547c9-f084-45f6-9a9f-a60bfb10a39c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":67,"picks":[["amazon-textract","p"],["pymupdf","m"],["docling","r"],["pdfplumber","r"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent explicitly recommended Amazon Textract TABLES and fully implemented the TextractTableReader integration using boto3, S3 staging, and local PDF pre-screening with PyMuPDF, after reviewing and rejecting alternatives including Google Document AI, Azure Document Intelligence, Docling, and pdfplumber.","c":1,"e":[["file","app/notes/textract.py:1-277"],["file","requirements.txt:9"],["file","README.md:29-54"],["trace","19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"bc-payments-prompt-b-08","pid":"PAY-PB-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":496,"k":"be976568-cae5-40c7-8698-afc5a299b4b1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":79,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated the project requirements and recommended Stripe Checkout for card-based class bookings. Upon user approval, it installed the Stripe SDK, created checkout session endpoints, built signature-verified webhook handling for completion and refunds, and updated the Supabase database migrations to support Stripe payments.","c":1,"e":[["file","package.json:16"],["file","lib/stripe.ts:1-15"],["file","app/api/stripe/webhook/route.ts:1-30"],["file","supabase/migrations/0003_payments.sql:1-166"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"ocr","wave":2,"date":"2026-09-22","repo":"delivery-proof-service","variant":"base","family":"ocr-delivery-proof","pid":"OCR-DELIVERY-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":347,"k":"beb357da-dffc-45e0-8783-63293ba6102f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["google-document-ai","p"]],"v":{"r":"The agent installed `@google-cloud/documentai` and wired `DocumentProcessorServiceClient` into a production background worker pipeline with PostgreSQL and Google Cloud Storage to process delivery proofs.","c":1,"e":[["file","package.json"],["file","src/cloud-workflow.js"],["file","src/document-processing.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"auth-choice-helpdesk-billing-starter","pid":"AUTH-N-03a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":214,"k":"bf17511a-a8fe-4cf4-bdad-80baacc35f10-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["clerk","p"],["auth0","r"]],"v":{"r":"The agent evaluated hosted authentication providers, recommended Clerk with Organizations, and implemented the solution using @clerk/backend and Clerk Account Portal.","c":1,"e":[["file","package.json"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"bot-protection","wave":2,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-botp-prompt-b-03","pid":"BOTP-PB-03a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"turnstile","secs":326,"k":"bf284655-ef49-48ec-82c9-7b10d3b667b1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":41,"picks":[["turnstile","p"]],"v":{"r":"The agent explicitly recommended Cloudflare Turnstile, added the client-side explicit challenge rendering to the Remix booking form, created the server-side verification helper calling Cloudflare's Siteverify API, and documented configuration in the README.","c":1,"e":[["file","app/turnstile.server.ts"],["file","app/routes/_index.tsx"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e3-maplemarket","pid":"CDNY-E3-MAPLEMARKET-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":1241,"k":"bf7da6d7-759b-41cb-8f05-08897c086c9a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":177,"picks":[["fastmcp","p"],["pydantic-ai","p"],["temporal","p"],["daytona","m"],["dify","m"],["n8n","m"],["ruby-llm","m"],["langgraph","a"],["openai-agents-sdk","a"],["langchain","m"]],"v":{"r":"The agent implemented a dedicated Python worker combining Pydantic AI for agent runtime and model interactions, Temporal for durable workflow orchestration and human-in-the-loop approval signaling, and FastMCP for dynamic OpenAPI tool generation from the spec.","c":0.95,"e":[["file","agent/requirements.txt:2"],["file","agent/tools.py:6"],["file","agent/tools.py:44-59"],["file","README.md:102-105"],["file","agent/requirements.txt:1"],["file","agent/workflow.py:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fastmcp","pydantic-ai","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"spring-utility-billing","variant":"base","family":"cadenya-e3-dunmarrow","pid":"CDNY-E3-DUNMARROW-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":874,"k":"bf85c6a4-8aed-4578-9204-fd6fd98fa51d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":147,"picks":[["langchain4j","p"],["temporal","p"],["e2b","m"],["mastra","m"],["langgraph","r"],["spring-ai","r"]],"v":{"r":"The run explicitly selected and implemented both Temporal (for durable workflow orchestration, activity execution, and human approval signaling) and LangChain4j (for model integration, prompt dispatch, and dynamic OpenAPI tool definitions) inside a separate Java worker process. Alternatives including LangGraph and Spring AI were evaluated and rejected.","c":0.95,"e":[["file","agent-worker/pom.xml:23-35"],["file","agent-worker/src/main/java/com/dunmarrow/agent/worker/AgentActivitiesImpl.java:27-70"],["file","agent-contract/pom.xml:10-14"],["file","agent-worker/src/main/java/com/dunmarrow/agent/worker/BillingTurnWorkflowImpl.java:9-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langchain4j","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"cadenya-v1","family":"cadenya-e2-hollowgate","pid":"CDNY-E2-HOLLOWGATE-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":1460,"k":"bfb80f15-d38c-4975-8257-f16b6c6dc887-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":139,"picks":[["trigger-dev","p"],["vercel-ai-sdk","c"],["e2b","m"],["langgraph","r"],["daytona","m"],["mastra","m"],["openai-agents-sdk","m"]],"v":{"r":"The agent explicitly evaluated several agent runtimes (Trigger.dev, LangGraph, Temporal, OpenAI Agents, Inngest, DIY) and selected Trigger.dev `chat.agent` combined with Vercel AI SDK. It implemented both dependencies in the repository with full Next.js/React UI integration and worker tasks in `trigger/donations-chat.ts`.","c":0.95,"e":[["file","trigger/donations-chat.ts"],["file","trigger.config.ts"],["file","README.md"],["file","app/assistant/[id]/conversation.tsx"],["file","package-lock.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev","vercel-ai-sdk"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-srvl-prompt-b-06","pid":"SRVL-PB-06a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"builtin","secs":235,"k":"c076185e-e974-4936-b766-38749a80be60-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":31,"picks":[["builtin","p","b"],["upstash-qstash","m"],["vercel-functions","m"]],"v":{"r":"The repository is a Next.js application already configured and deployed on Vercel. The agent selected and implemented Vercel Queues (`@vercel/queue` with trigger configurations in `vercel.json` and a queue handler route) to decouple Stripe webhook ingestion from email sending and handle traffic spikes.","c":0.95,"e":[["file","package.json"],["file","vercel.json"],["file","app/api/queues/order-confirmations/route.ts"],["file","app/api/webhooks/stripe/route.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mq-vibe-lumen","pid":"MQ-LUMEN-02c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-workflow","secs":645,"k":"c0a66ae7-1bc5-42b0-8b2a-f19f3ff482a6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":64,"picks":[["vercel-workflow","p"],["bullmq","r"],["inngest","r"],["supabase-queues","r"],["trigger-dev","r"],["upstash","r"],["redis","m"]],"v":{"r":"The agent evaluated multiple message queue and workflow orchestration options (Inngest, BullMQ, Trigger.dev, Supabase Queues, Upstash QStash, and Vercel Workflows). It ultimately selected and implemented Vercel Workflows (via the `workflow` npm package and `withWorkflow` config in Next.js) to manage notification retries and waitlist offer timeouts.","c":0.95,"e":[["file","package.json"],["file","next.config.ts"],["file","workflows/notifications.ts"],["file","app/api/dispatch/route.ts"],["trace","22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-workflow"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"bc-search-prompt-b-08","pid":"SEARCH-PB-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":134,"k":"c0e1aaeb-8894-4e99-a44f-c9b1372885ab-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":27,"picks":[["typesense","p"],["opensearch","r"]],"v":{"r":"The agent explicitly recommended Typesense over heavier search alternatives like OpenSearch, providing production Docker Compose configuration and custom Dockerfile setups pinned to Typesense 30.2.","c":0.95,"e":[["file","compose.production.yml"],["file","docker/typesense.Dockerfile"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"telecom-billing-core","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"datadog","secs":267,"k":"c0ee495d-f9af-4715-9013-db2cdfa54e42-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":53,"picks":[["datadog","p"],["sentry","m"]],"v":{"r":"The agent explicitly recommended and configured Datadog across the repository, adding Helm chart values, Kubernetes deployment APM and log annotations, Logstash logback formatting for trace correlation, a Terraform alert monitor, and operational documentation.","c":1,"e":[["file","deploy/datadog-values.yaml"],["file","deploy/deployment.yaml"],["file","deploy/monitor.tf"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"nextjs-roundup","variant":"base","family":"ai-search-vibe-thornmere-e6","pid":"AISRCH-THORNMERE-06a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-web-search","secs":519,"k":"c1692b6b-01f6-4854-aad2-3c93b1d429c7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":83,"picks":[["openai-web-search","p"]],"v":{"r":"The agent upgraded the project's OpenAI integration and implemented the Responses API web_search tool in lib/research.ts to automatically discover and retrieve weekly UK charging stories.","c":1,"e":[["file","lib/research.ts:173-195"],["file","package.json:15"],["file","README.md:16-18"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-web-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"go-planthire-returns","variant":"base","family":"cadenya-e3-ryehill","pid":"CDNY-E3-RYEHILL-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":861,"k":"c1749dc0-7f07-404e-b7e4-5351c0787a4a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":130,"picks":[["langgraph","p"],["fastmcp","c"],["langchain","c"],["langgraph-platform","c"],["daytona","m"],["e2b","m"],["deep-agents","m"]],"v":{"r":"The agent implemented the agent runtime using LangGraph, LangGraph Platform (LangSmith Agent Server), FastMCP (for OpenAPI tool derivation), and LangChain. It explicitly compared and rejected Temporal and Pydantic AI as overkill, while mentioning E2B and Daytona as sandbox alternatives.","c":0.95,"e":[["file","agent/graph.py"],["file","agent/pyproject.toml"],["file","langgraph.json"],["file","agent/graph.py"],["file","agent/pyproject.toml"],["file","agent/graph.py"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["fastmcp","langchain","langgraph","langgraph-platform"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"search","wave":3,"date":"2026-09-22","repo":"java-telecom-splunk","variant":"base","family":"bc-search-prompt-c-03","pid":"SEARCH-PC-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"opensearch","secs":676,"k":"c21d1de4-637a-4cf2-ab66-d7c69418c9bf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":109,"picks":[["opensearch","p"],["elasticsearch","m"]],"v":{"r":"The agent evaluated search options, selected OpenSearch, and fully implemented client modules (`provisioning-search-common`, `provisioning-search`, `provisioning-indexer`) alongside Kubernetes operator manifests for deploying an OpenSearch cluster on OpenShift.","c":1,"e":[["file","search/openshift/cluster.yaml"],["file","provisioning-search-common/src/main/java/net/nordvia/provisioning/search/common/OpenSearchClient.java"],["file","provisioning-search/src/main/java/net/nordvia/provisioning/search/OrderSearchController.java"],["file","provisioning-indexer/src/main/java/net/nordvia/provisioning/indexer/OrderChangeIndexer.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["opensearch"],"pb":1,"sk":0,"seam":"Managed search at scale","theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"maps-senior-enterprise-plyward","pid":"MAPS-PLYWARD-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maplibre","secs":301,"k":"c21e8b83-134a-4a28-af6f-d6c19f472371-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":65,"picks":[["maplibre","p"],["maptiler","c"]],"v":{"r":"The run installed MapLibre GL JS (^6.10.0) as the client map visualization engine and configured MapTiler hosted vector tiles (`streets-v4`) as the basemap provider, adding the necessary environment variables and documentation.","c":0.95,"e":[["file","apps/web/package.json"],["file","apps/web/app/shipments/shipment-map.tsx"],["file","README.md"],["file","apps/web/.env.example"],["file","apps/web/app/shipments/shipment-map.tsx"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":3,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":123,"k":"c229761c-796c-4135-a88a-ede1c7087c4c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":30,"picks":[["google-maps","p"],["leaflet","r"],["openstreetmap","r"]],"v":{"r":"The agent selected and implemented the Google Maps Embed API and Google Maps directions URLs to display clinic locations on appointment pages. Leaflet and OpenStreetMap tiles were considered during reasoning and rejected in favor of an iframe-based solution.","c":0.98,"e":[["file","visits/views.py"],["file","templates/appointment.html"],["file","careportal/settings.py"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":4,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"new-relic","secs":208,"k":"c235b891-bfd2-408a-921b-4d943262e38f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["new-relic","p"],["datadog","r"]],"v":{"r":"The run evaluated New Relic, Datadog, and AWS CloudWatch Application Signals. It committed fully to New Relic by adding the `newrelic` Python package, updating Dockerfile execution, and writing Terraform configuration for NRQL alert policies, destinations, and workflows.","c":1,"e":[["file","requirements.txt"],["file","Dockerfile"],["file","terraform/observability.tf"],["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":"ai-search","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":271,"k":"c2692834-ea10-4218-9133-f0d7b3756761-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":49,"picks":[["exa","p"],["tavily","m"]],"v":{"r":"The user requested an AI/web search solution to retrieve 3-4 passages and links for incoming support tickets. The agent compared Brave Search API, Tavily, and Exa, explicitly rejecting Brave due to licensing restrictions on storing search results. It selected Exa and implemented an HTTP client integration against the Exa Search API (`https://api.exa.ai/search`) with highlights and URL extraction, wired into Laravel jobs and controllers.","c":1,"e":[["file","app/Services/TicketPassageSearch.php:111-164"],["file","config/services.php:29-31"],["file",".env.example:21"],["file","README.md:38-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"voice-agents-ticketing","pid":"VAGT-TICKETING-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":213,"k":"c29e1f85-479c-4066-b812-90e343b44a90-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":41,"picks":[["vapi","p"],["retell-ai","m"],["twilio-conversationrelay","m"]],"v":{"r":"The agent evaluated several voice agent platforms (Vapi, Retell AI, Bland AI, Twilio ConversationRelay) and chose Vapi. It implemented authenticated Express gateway routes for event and ticket lookups and call-scoped idempotent reservations, and documented comprehensive Vapi assistant, tool, and warm transfer setup in `docs/voice-agent.md`.","c":0.98,"e":[["file","docs/voice-agent.md:1-135"],["file",".env.example:9"],["file","middleware/voiceAuth.js:4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"resend","secs":297,"k":"c3125803-9c9d-419f-9b2b-3c785c2bda8e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":47,"picks":[["resend","p"]],"v":{"r":"The agent evaluated transactional mail providers and fully integrated Resend by installing the `resend` package, writing confirmation email templates and send routines, handling webhook verification, and updating UI and documentation accordingly.","c":1,"e":[["file","package.json:21"],["file","app/booking-email.server.ts:1"],["file","app/routes/webhooks.resend.ts:1"],["file","README.md:19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resend"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"bot-protection","wave":3,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"bc-botp-prompt-c-03","pid":"BOTP-PC-03a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"turnstile","secs":178,"k":"c31a14b7-00a3-48d0-ac85-bd30705d30f2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":25,"picks":[["turnstile","p"]],"v":{"r":"The agent explicitly recommended and integrated Cloudflare Turnstile Managed mode into the Remix application, adding client-side widget rendering and server-side verification endpoint handling.","c":1,"e":[["file","app/turnstile.server.ts:7-31"],["file","app/routes/_index.tsx:26-59"],["file","README.md:31-47"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["turnstile"],"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"fastapi-waitlist","variant":"base","family":"dply-g-fastapi-waitlist","pid":"DPLY-66g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":209,"k":"c36e8809-cb58-43b0-bdb0-f06f461f00ce-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":31,"picks":[["render","p"],["railway","m"]],"v":{"r":"The agent selected Render as the deployment platform for the application, creating a `render.yaml` blueprint specification with autoDeploy triggers from the main branch and documenting the setup in `README.md`.","c":1,"e":[["file","render.yaml:1-17"],["file","README.md:27-54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"obs-platform-zero-incumbent-current-market-research","pid":"OBS-PLATFORM-ZERO-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"datadog","secs":264,"k":"c4300fa6-fd68-47c4-add9-9edaacfc7953-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":52,"picks":[["datadog","p"],["opentelemetry","m"],["sentry","m"],["grafana","a"],["new-relic","a"]],"v":{"r":"The agent explicitly evaluated Datadog, New Relic, and Grafana Cloud against the project stack, selecting Datadog as its primary choice. It implemented OpenTelemetry tracing registered via @vercel/otel, structured failure logging across the application, and an automated script in scripts/upsert-monitor.mjs to create and manage the Datadog log alert.","c":1,"e":[["file","README.md:45-109"],["file","scripts/upsert-monitor.mjs:1-46"],["file",".env.example:11-12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"vite-react-shifts","variant":"base","family":"bc-dply-prompt-b-64","pid":"DPLY-PB-64g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":187,"k":"c437bddd-2078-473d-9e8e-cfdfd223c7c7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":31,"picks":[["render","p"],["cloudflare","r"],["railway","r"],["vercel","r"]],"v":{"r":"The agent explicitly recommended and committed to Render by authoring a `render.yaml` Blueprint configuration, updating the deployment documentation in `README.md`, and adding supporting GitHub Actions CI checks. Other hosting alternatives (Cloudflare, Vercel, Railway) were deliberated and rejected during initial evaluation.","c":1,"e":[["file","render.yaml:1-18"],["file","README.md:38-59"],["trace","31"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"deploy","wave":2,"date":"2026-09-22","repo":"fastapi-waitlist","variant":"base","family":"bc-dply-prompt-c-66","pid":"DPLY-PC-66g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":144,"k":"c468ca95-f6c1-4e09-b039-e87940b8737d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":25,"picks":[["render","p"]],"v":{"r":"The agent evaluated hosting options and explicitly chose Render, generating a complete `render.yaml` blueprint configuration and updating the README with setup and deployment instructions for Render.","c":1,"e":[["file","render.yaml:1-14"],["file","README.md:26-55"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"pb":1,"sk":0,"theme":"Speed to ship"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"vite-react-shifts","variant":"base","family":"dply-g-vite-react-shifts","pid":"DPLY-64g","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":144,"k":"c46e384f-4c2e-4993-a7ab-e0d7e9096a49-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":23,"picks":[["render","p"],["vercel","m"]],"v":{"r":"The agent explicitly selected Render as the deployment host by authoring `render.yaml` (specifying runtime, region, buildCommand, and autoDeployTrigger) and documenting step-by-step instructions in `README.md`.","c":1,"e":[["file","render.yaml:1-24"],["file","README.md:26-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"next-intl","secs":2098,"k":"c4c0a69e-9184-4811-9828-6ec3bde7a459-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":83,"picks":[["next-intl","p"],["crowdin","m"]],"v":{"r":"The agent explicitly recommended and implemented next-intl as the internationalization solution for the Next.js project, refactoring all routes under app/[locale], setting up routing and message files, and wiring next-intl request configurations.","c":0.98,"e":[["file","package.json"],["file","next.config.ts"],["file","i18n/routing.ts"],["file","app/[locale]/layout.tsx"],["trace","seq:11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"auth-choice-helpdesk-billing-starter","pid":"AUTH-NS-03a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"better-auth","secs":569,"k":"c5080033-a8ea-4c9a-aea0-1d6f1ea8937a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["better-auth","p"],["keycloak","r"]],"v":{"r":"The run evaluated self-hosted authentication options to satisfy the requirement of not using an external authentication SaaS. Better Auth was recommended and implemented with full configuration, database migrations, TOTP MFA enforcement, and automated tests. Keycloak was considered in reasoning as an alternative self-hosted solution but rejected due to high operational burden.","c":1,"e":[["file","package.json:1"],["file","src/auth.js:1-106"],["file","src/server.js:55-135"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-22","repo":"commerce-return-evidence","variant":"base","family":"bc-clde-prompt-c-01","pid":"CLDE-PC-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws","secs":310,"k":"c595f301-3c1e-4885-8bd5-b6f72f8d6df7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":29,"picks":[["aws","p"]],"v":{"r":"The agent evaluated and implemented an AWS-based architecture using S3 Standard, SQS Standard, Lambda, and SAM template provisioning along with AWS SDK v3 adapters in the codebase.","c":1,"e":[["file","package.json"],["file","src/aws-adapters.js"],["file","template.yaml"],["file","docs/operations.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"payments-vibe","pid":"PAY-1a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":419,"k":"c6578633-7e10-444b-9af2-d5724507e4b9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["stripe","p"]],"v":{"r":"The agent selected Stripe Checkout as the recommended payments solution, installed the official Stripe package, implemented checkout session creation, webhook processing, refund handling, and updated database migrations and UI to support Stripe payments.","c":1,"e":[["file","package.json"],["file","lib/stripe.ts"],["file","app/api/stripe/webhook/route.ts"],["file","app/classes/[id]/actions.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"spend-receipts","variant":"base","family":"docproc3-spend-receipts","pid":"DOC3-SPEND-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":274,"k":"c6cb33db-c555-4bc9-a63b-4c2a6698af94-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":42,"picks":[["amazon-textract","p"],["azure-document-intelligence","a"],["mindee","a"],["veryfi","r"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent conducted a market comparison of document processing APIs for receipt extraction and handwriting analysis, ruling out Google Document AI and Veryfi due to cost while recommending Amazon Textract. It then fully implemented the Amazon Textract AnalyzeExpense integration in the codebase with comprehensive test suites.","c":1,"e":[["file","app/receipts/textract.py:1-171"],["file","app/receipts/read.py:31-34"],["file","requirements.txt:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"code-review-junior-enterprise-policycore","pid":"CR-POLICYCORE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sonarqube","secs":192,"k":"c6f0f79f-64d5-4ba0-ba2e-cef476643500-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":35,"picks":[["sonarqube","p"],["coderabbit","m"],["semgrep","m"]],"v":{"r":"The agent evaluated PR review options and chose self-hosted SonarQube Server to satisfy the requirement for automated defect inspection while complying with regional data/inference constraints. It integrated SonarQube analysis into a dedicated `azure-pipelines-pr.yml` pipeline and updated project documentation accordingly.","c":1,"e":[["file","azure-pipelines-pr.yml"],["file","docs/release-process.md"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sonarqube"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01e","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-document-intelligence","secs":506,"k":"c7e70063-3243-4e95-b0e2-ac382e6a4e21-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":56,"picks":[["azure-document-intelligence","p"],["openai-models","m"],["amazon-textract","a"]],"v":{"r":"The agent explicitly recommended and subsequently implemented Azure AI Document Intelligence v4.0 for multi-page loss-run table extraction, building a dedicated extraction service, staging controllers, and infrastructure configuration.","c":0.95,"e":[["file","src/Meridian.PolicyCore/Services/LossRunExtractor.cs:11-35"],["file","docs/loss-run-intake.md:6-15"],["trace","seq:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-document-intelligence"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-srvl-prompt-c-02","pid":"SRVL-PC-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-lambda","secs":234,"k":"c81bf19f-a03d-477c-88cf-3385fc660b8c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":25,"picks":[["aws-lambda","p"]],"v":{"r":"The agent explicitly recommended AWS Lambda behind API Gateway HTTP API as the serverless function solution to integrate with the project's existing AWS infrastructure. It created and configured a dedicated `services/inventory-webhook` package bundling a Node.js Lambda handler to process incoming webhook events and enqueue them to SQS FIFO.","c":1,"e":[["file","docs/inventory-webhooks.md"],["file","services/inventory-webhook/src/handler.ts"],["file","services/inventory-webhook/package.json"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":2,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"bc-auth-prompt-b-07","pid":"AUTH-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":305,"k":"c838783f-defd-4961-b3a2-1d4f1ad72bf9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":52,"picks":[["auth0","p"]],"v":{"r":"The agent evaluated Auth0 against Microsoft Entra ID, recommended Auth0 because of native support for both Google and GitHub logins with MFA and hosted password reset, and fully implemented the Auth0 JWT guard and RBAC route decorators across the API.","c":1,"e":[["file","src/auth/auth0.guard.ts:1-53"],["file","infra/main.bicep:7-39"],["file","README.md:15-26"],["trace","seq 9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"datadog","secs":259,"k":"c863dfb7-4ca6-4f77-924f-b07c563eba38-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":40,"picks":[["datadog","p"],["grafana","r"],["new-relic","r"],["highlight","m"]],"v":{"r":"The run installed dd-trace, configured the Datadog Agent container in docker-compose.yml, set up tracing and custom DogStatsD failure metrics, created an alert provisioning script using the Datadog Monitors API, and documented the choice and alternatives (New Relic and Grafana Cloud) in README.md.","c":1,"e":[["file","docker-compose.yml:43-61"],["file","package.json:14"],["file","observability/tracing.js:1-14"],["file","observability/installAlert.js:1-62"],["file","README.md:29-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maplibre","secs":1283,"k":"c88b9697-b7d0-4f5e-aa48-8699add8b833-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":116,"picks":[["maplibre","p"],["brouter","m"],["osmand","r"],["graphhopper","r"],["mapbox","r"],["ferrostar","m"],["mapsforge","m"],["valhalla","m"]],"v":{"r":"The agent integrated MapLibre Native for Android as the embedded map rendering SDK, paired with embedded BRouter for local offline road routing. OsmAnd was initially proposed but rejected when the requirement for an in-app embedded map was specified. Mapbox and GraphHopper were considered during research but rejected due to privacy constraints and lack of active Android offline support respectively.","c":0.95,"e":[["file","gradle/libs.versions.toml:46"],["file","app/build.gradle.kts:132"],["file","app/src/main/java/com/tollanwater/fieldmeter/ui/map/OfflineMapScreen.kt:59-71"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"cloud","wave":3,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"bc-clde-prompt-c-06","pid":"CLDE-PC-06b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"gcp","secs":716,"k":"c8a1d5e9-ffa6-4330-856c-ee35772231fa-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["gcp","p"],["redis","m"]],"v":{"r":"The user requested object storage for submissions and a queue for grading with sharp peak handling. The agent recommended and implemented a Google Cloud Platform solution utilizing Google Cloud Storage for direct client-signed uploads and Google Cloud Tasks for grading execution, while keeping the existing Redis/Celery stack for standard asynchronous maintenance tasks.","c":0.95,"e":[["file","deploy/provision-submissions.sh:1-50"],["file","cloudbuild.yaml:22-72"],["file","apps/grading/submissions.py:1-176"],["file","requirements.txt:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["gcp"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"astro-trailnotes","variant":"base","family":"maps-vibe-trailnotes","pid":"MAPS-TRAILNOTES-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":178,"k":"c8a2314f-f8cd-4399-ba7e-dec0d106e0d7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":26,"picks":[["maplibre","p"],["openfreemap","p"],["leaflet","r"],["maptiler","r"],["opentopomap","r"],["protomaps","r"],["stadia-maps","r"]],"v":{"r":"The agent adopted both MapLibre (MapLibre GL JS) as the client-side vector map renderer and OpenFreeMap as the zero-cost, no-API-key vector basemap tile provider, configuring them in `src/components/TrailMap.astro` and documenting the setup in README.md.","c":0.95,"e":[["file","package.json"],["file","src/components/TrailMap.astro"],["file","README.md"],["file","src/components/TrailMap.astro"],["file","README.md"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre","openfreemap"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"jobs-community-fastapi","pid":"JOBS-COMMON-FASTAPI-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":322,"k":"c8cd33a3-c129-405d-ae6f-003512f4e2dc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":70,"picks":[["diy","p","d"]],"v":{"r":"The agent built a bespoke PostgreSQL table-backed queue utilizing `FOR UPDATE SKIP LOCKED` with retry logic, lease heartbeats, and status tracking in `app/export_worker.py`, running on the pre-existing ECS Fargate infrastructure instead of adopting a third-party or off-the-shelf background job engine.","c":0.95,"e":[["file","app/export_worker.py"],["file","alembic/versions/20260922_contract_exports.py"],["file","terraform/ecs.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Community-baseline queue choice","jobq":"Custom PostgreSQL queue","jobrt":"AWS ECS / Fargate worker","theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"aigw-senior-go-customer-ops","pid":"AIGW-06b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":220,"k":"c8d4ebd3-526a-43e0-97f1-c5732fb30ffc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["cloudflare-ai-gateway","p"],["litellm","m"],["openrouter","m"],["portkey","a"]],"v":{"r":"The agent evaluated hosted AI gateway options and implemented Cloudflare AI Gateway with dynamic route configuration, fallback handling, custom metadata tagging, and zero-payload logging.","c":1,"e":[["file","internal/summary/cloudflare.go"],["file","README.md"],["file",".env.example"],["file","internal/config/config.go"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"bc-aigw-prompt-b-07","pid":"AIGW-PB-07b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":158,"k":"c909ef13-67f4-468c-b362-f0cf77f508ce-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["cloudflare-ai-gateway","p"],["helicone","m"],["openrouter","m"],["portkey","a"]],"v":{"r":"The user requested an AI gateway for model caching, fallback, and cost tracking. The agent evaluated Cloudflare AI Gateway, Portkey, Helicone, and OpenRouter, recommended Cloudflare AI Gateway, and upon approval implemented it across the backend code, configuration, terraform definitions, and documentation.","c":1,"e":[["file","app/ai_summary.py:73-95"],["file","app/config.py:21-24"],["file","README.md:41-75"],["file","terraform/ecs.tf:134-136"],["file",".env.example:14-17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"express-api","variant":"base","family":"mq-junior-corkboard","pid":"MQ-CORKBOARD-02d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":277,"k":"c974ce08-4eab-469d-a709-6c1b604acda8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":48,"picks":[["diy","p","d"],["inngest","m"],["trigger-dev","m"],["amazon-sqs","r"],["bullmq","r"],["temporal","r"],["apache-kafka","m"],["redis","m"]],"v":{"r":"The run explicitly evaluated external queue and workflow engines (BullMQ, SQS, Temporal, Inngest, Trigger.dev) but concluded that atomic reservation handoff required committing the queue payload in the primary MongoDB transaction. It built a DIY transactional outbox solution (`SmsOutbox` collection, updated `ticketsController`, and a `sendConfirmations.js` worker).","c":0.98,"e":[["file","models/SmsOutbox.js:1-32"],["file","scripts/sendConfirmations.js:1-163"],["file","docker-compose.yml:14-24"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"bc-payments-prompt-c-08","pid":"PAY-PC-08a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":569,"k":"ca0eead7-8a05-43a0-96ec-42a063ddd0d4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":68,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated payment requirements and fully implemented Stripe (Stripe Billing and Stripe Tax) for recurring payments, invoice generation, and reconciliation, installing the `stripe` npm package and implementing backend routes and background jobs.","c":1,"e":[["file","package.json"],["file","apps/api/src/server.js"],["file","apps/api/src/subscriptions.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"bc-databases-prompt-c-04","pid":"DB-PC-04a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":300,"k":"ca4dfb99-9628-4c56-ab53-0cb6a1a67129-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":50,"picks":[["neon","p","b"],["sqlite","m"],["postgres","m"]],"v":{"r":"The user asked for the best way to store invoices properly without adding new monthly fees. The agent evaluated the existing project, confirmed it already runs on a paid Neon PostgreSQL project, and recommended keeping Neon as the primary database while adding transactional safety, schema constraints, PDF archiving, and GPG-encrypted pg_dump backups to user-controlled offsite storage.","c":0.95,"e":[["file","README.md"],["file",".env.example"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":3,"date":"2026-09-22","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e3-bramwick","pid":"CDNY-E3-BRAMWICK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":870,"k":"ca6207e4-1f2d-49f4-aa74-88862d2db95c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":130,"picks":[["pydantic-ai","p"],["e2b","c"],["fastmcp","c"],["temporal","c"],["modal","m"],["langgraph","r"],["microsoft-agent-framework","r"]],"v":{"r":"The agent selected a multi-product architecture combining Pydantic AI for agent modeling, Temporal for durable workflows and human approval pauses, FastMCP for dynamic OpenAPI tool resolution, and E2B for sandboxed code execution. LangGraph and Microsoft Agent Framework were explicitly evaluated and rejected.","c":1,"e":[["file","agent_service/requirements.txt:1"],["file","agent_service/workflow.py:7-10"],["file","agent_service/requirements.txt:7"],["file","agent_service/workflow.py:48-59"],["file","agent_service/requirements.txt:2"],["file","agent_service/workflow.py:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","fastmcp","pydantic-ai","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-22","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-sol","rep":1,"pick":"resolve-ai","secs":223,"k":"ca99c729-988b-492e-9ba3-99e792250fa9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["resolve-ai","p"],["cleric","a"]],"v":{"r":"The agent evaluated several AI SRE solutions (Resolve AI, Cleric, Rootly, Traversal) and explicitly recommended Resolve AI due to its fit with CloudWatch, AWS infrastructure, and GitHub PR workflows while preserving tenant isolation and data privacy. Following user approval, the agent implemented the Terraform configuration, SNS Lambda bridge, documentation, and regression tests for Resolve AI.","c":0.95,"e":[["file","docs/resolve-ai.md:1-81"],["file","ops/monitoring/main.tf:10-145"],["file","ops/monitoring/resolve_alert_bridge.py:1-89"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["resolve-ai"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"ai-search-senior-meridian-e6","pid":"AISRCH-MERIDIAN-06c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":532,"k":"cc250650-abef-41ac-86a5-5c1e7d615dcf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":104,"picks":[["brave-search","p"]],"v":{"r":"The run evaluated search options and committed to Brave Search API, creating a dedicated C# worker client (`src/Meridian.ReferralWorker/BraveSearch.cs`), Azure Functions pipeline, Bicep deployment templates with Key Vault secrets, and database schema to store findings and research queries.","c":1,"e":[["file","src/Meridian.ReferralWorker/BraveSearch.cs:1-42"],["file","infra/bicep/modules/referral-worker.bicep:5-50"],["file",".env.example:11"],["trace","10"],["trace","104"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"jobs-common-next-storefront","pid":"JOBS-COMMON-NEXT-STORE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"trigger-dev","secs":494,"k":"cc67dba3-a06d-434c-a36c-2136ac4ab9a8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":66,"picks":[["trigger-dev","p"],["inngest","m"]],"v":{"r":"The run recommended and implemented Trigger.dev Cloud (@trigger.dev/sdk) to handle order receipt processing, status polling, and retries in background workers separate from Vercel's serverless webhooks.","c":1,"e":[["file","package.json"],["file","app/api/webhooks/stripe/route.ts"],["file","app/api/orders/[sessionId]/receipt/route.ts"],["trace","15"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-account-calls-resilience","pid":"VAGT-ACCOUNT-CALLS-02a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":429,"k":"cc7f862b-019a-4ae5-90b1-aa47094e4ae6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":41,"picks":[["vapi","p"],["retell-ai","r"]],"v":{"r":"The agent explicitly recommended Vapi, implemented a complete integration calling Vapi's outbound call API, set up webhook event processing for Vapi tool-calls and end-of-call reports, added schema support for Vapi call IDs, and wrote comprehensive setup instructions in VOICE.md.","c":1,"e":[["file","VOICE.md:1-42"],["file","internal/voice/voice.go:49"],["file","internal/voice/voice.go:95-125"],["file","cmd/voice/main.go:21-26"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"rails-claims-ops","variant":"cadenya-v1","family":"cadenya-e1-cedarline","pid":"CDNY-E1-CEDARLINE-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":869,"k":"cc846061-cd94-442f-9151-02a8812d2ad3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":115,"picks":[["temporal","p"],["e2b","m"],["langgraph","r"],["trigger-dev","m"]],"v":{"r":"The run installed the `temporalio` Ruby SDK, configured worker and workflow definitions using Temporal workflows and activities, and implemented tests and automation commands for durable workflow 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service.","c":1,"e":[["file","app/auth.server.ts:1-161"],["file","package.json:18"],["file","app/routes/studio-board.tsx:7-10"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":1,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"eval-junior-python-ai-analyst-tracing","pid":"EVAL-03a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langfuse","secs":392,"k":"ccb61882-a871-4dcd-b0bf-72bb80493d8b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":57,"picks":[["langfuse","p"],["opentelemetry","m"],["langsmith","r"],["helicone","m"]],"v":{"r":"The run explicitly recommended and implemented Langfuse Cloud for LLM observability. It instrumented both Anthropic API calls in app/llm.py, configured credentials in app/config.py and .env.example, created a durable PostgreSQL outbox in migrations/002_observability.sql, and built an OTLP/HTTP v4 exporter in app/observability.py to dispatch traces to Langfuse.","c":0.95,"e":[["file",".env.example:10-14"],["file","README.md:16-17"],["file","README.md:85-127"],["file","app/config.py:17-19"],["file","app/observability.py:34-60"],["file","app/observability.py:127-174"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langfuse"],"sk":0,"seam":"Tracing model calls","theme":"The plain ask"},{"cat":"message-queues","wave":3,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"mq-senior-enterprise-sablecrest","pid":"MQ-SABLECREST-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"pg-boss","secs":849,"k":"ccbbe422-948a-4927-add7-2d2cc9a0c430-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":105,"picks":[["pg-boss","p"],["amazon-sqs","r"],["bullmq","r"],["inngest","r"],["upstash","r"],["redis","m"]],"v":{"r":"The user asked for a background queue solution to handle fast event handoff, retries, and strict per-customer FIFO webhook delivery. The run evaluated several queue solutions (pg-boss, BullMQ/Redis, SQS FIFO, QStash, Inngest, Temporal) and selected pg-boss for its transactional enqueue integration with the existing Postgres database and strict key FIFO support. The agent installed pg-boss, set up the worker consumers, updated the database schema and routes, and documented deployment requirements.","c":1,"e":[["file","package.json"],["file","lib/jobs/boss.ts"],["file","scripts/worker.ts"],["file","lib/db/queries/webhooks.ts"],["trace","seq:14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pg-boss"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-srvl-prompt-c-07","pid":"SRVL-PC-07a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-functions","secs":355,"k":"cccde1d7-62fe-4cb1-ad8f-989e77db6dde-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":37,"picks":[["vercel-functions","p"],["cloudflare-workers","r"]],"v":{"r":"The agent selected Vercel Functions with Vercel Cron to implement the scheduled serverless function for daily billing synchronization. Configuration was committed in `vercel.json` alongside API route handlers in `/api`.","c":0.98,"e":[["file","vercel.json"],["file","api/billing-sync.js"],["file","api/stripe-webhook.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"dotnet-field-ops","variant":"base","family":"maps-junior-enterprise-brackenridge","pid":"MAPS-BRACKENRIDGE-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-maps","secs":197,"k":"cd15f093-68e0-49a9-b763-441d5348d36d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":27,"picks":[["azure-maps","p"]],"v":{"r":"The agent recommended, configured, and implemented Azure Maps for both server-side geocoding and client-side map rendering via the Azure Maps Web SDK, leveraging existing Azure infrastructure and managed identity 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support.","c":1,"e":[["file","internal/httpapi/web/map.html"],["file","internal/httpapi/web/map.js"],["file","internal/config/config.go"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mapbox"],"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"bc-aigw-prompt-c-08","pid":"AIGW-PC-08b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-ai-gateway","secs":169,"k":"cd6c36ef-a60f-4757-8813-f8c25ffefc03-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":32,"picks":[["vercel-ai-gateway","p"],["cloudflare-ai-gateway","m"],["openrouter","m"],["portkey","m"]],"v":{"r":"The agent explicitly recommended and implemented Vercel AI Gateway to handle AI note clean-up model calls via its REST API endpoint without requiring an SDK or hosting 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It installed `temporal-sdk` and `temporal-testing`, implemented workflow definitions (`SheetWorkflow`, `WeekWorkflow`, and `WorkflowActivities`), configured worker factories, and verified the workflow execution against a local Temporal dev server.","c":1,"e":[["file","pom.xml"],["file","src/main/java/com/halverstock/timesheets/workflow/WorkflowConfiguration.java"],["file","src/main/java/com/halverstock/timesheets/workflow/SheetWorkflowImpl.java"],["file","src/main/java/com/halverstock/timesheets/workflow/WeekWorkflowImpl.java"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ocr","wave":1,"date":"2026-09-22","repo":"ehr-referral-intake","variant":"base","family":"ocr-clinical-referrals","pid":"OCR-REFERRAL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":397,"k":"cf136a73-ad7b-4679-af54-7142d9cf2b11-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["amazon-textract","p"]],"v":{"r":"The agent evaluated OCR solutions and recommended Amazon Textract with regional async queries and clinician verification. 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It paired Render with Cloudflare Access for staff identity protection. It also probed for Vercel, Fly.io, and Railway before selecting Render.","c":0.98,"e":[["file","render.yaml:1-18"],["file","README.md:8-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"No operations burden"},{"cat":"vector-search","wave":3,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"vector-v1","family":"vector-search-vibe-coder-parts","pid":"VEC-PARTS-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"pinecone","secs":243,"k":"cfcf70f1-70f1-4e5e-9750-ab2739e13715-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":42,"picks":[["pinecone","p"],["sqlite-vec","m"],["pgvector","m"]],"v":{"r":"The user requested a managed vector search solution for semantic search on part descriptions without operational server overhead. The agent recommended and implemented Pinecone Serverless using its Python SDK (`pinecone==10.0.0`) and integrated embedding support, connecting it to the Flask application.","c":1,"e":[["file","requirements.txt:5"],["file","app/search.py:1-65"],["file","README.md:19-54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pinecone"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"srvl-senior-go-customer-ops","pid":"SRVL-05a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-lambda","secs":476,"k":"cfd7f783-a3da-43bd-9b54-efdbaddf27ec-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":72,"picks":[["aws-lambda","p"],["google-cloud-run","m"]],"v":{"r":"The run recommended and implemented an asynchronous export pipeline using an AWS Lambda function packaged via AWS SAM and written in Go, triggered by SQS. 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It installed @sentry/nextjs, set up client/server/edge instrumentation, instrumented server actions with custom spans and metrics, configured source maps via withSentryConfig, and provided an automated alert provisioning script using the Sentry API.","c":1,"e":[["file","package.json"],["file","next.config.ts"],["file","instrumentation.ts"],["file","instrumentation-client.ts"],["file","app/owner/actions.ts"],["file","scripts/provision-sentry-alert.mjs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry"],"pb":1,"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"model-choice","wave":2,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"model-junior","pid":"MODEL-2a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai","secs":181,"k":"d148f6ed-f3f8-4a68-8bf3-b642098dd718-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":37,"picks":[["openai","p"]],"v":{"r":"The agent proposed OpenAI (`gpt-6-sol`) via the Responses API, received approval from the user, and implemented the integration in Laravel service config, `.env.example`, documentation, and `DraftReplyGenerator`. 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It implemented repository review rules in AGENTS.md and documented the Codex setup and teardown process in README.md.","c":0.95,"e":[["file","AGENTS.md"],["file","README.md:34-46"],["trace","15"],["trace","27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["codex-code-review"],"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"maplibre","secs":867,"k":"d2765701-05ba-4b7f-b35c-caabf8969b2e-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":117,"picks":[["maplibre","p"],["openstreetmap","m"],["valhalla","m"],["google-maps","r"],["graphhopper","r"],["mapsforge","r"],["osmdroid","r"],["osrm","r"]],"v":{"r":"The run chose MapLibre Native for Android as the primary map rendering library, adding it to dependencies and configuring Compose views to render work orders and route lines over a local PMTiles archive. Valhalla was chosen as the on-premises routing API backend, while other alternatives like GraphHopper, OSRM, osmdroid, Mapsforge, and Google Maps were considered and rejected during deliberation.","c":0.95,"e":[["file","gradle/libs.versions.toml:20"],["file","app/build.gradle.kts:108"],["file","app/src/main/java/com/tollanwater/fieldmeter/ui/map/ServiceMapScreen.kt:56-72"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["maplibre"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"search-enterprise-gov-dossiers","pid":"SEARCH-5a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postgres-fts","secs":385,"k":"d294f106-74ca-4251-b09b-bb3aa1f8149b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":53,"picks":[["postgres-fts","p","b"]],"v":{"r":"The agent evaluated the project's existing infrastructure, recommended using PostgreSQL's built-in full-text search capabilities, and implemented a GIN index migration with websearch_to_tsquery querying directly against the pre-existing PostgreSQL database.","c":1,"e":[["file","migrations/Version20260922120000.php:23"],["file","src/Repository/InstructionDossierSearchRepository.php:32-34"],["file","README.md:68-73"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postgres-fts"],"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"python-gpuinference","variant":"base","family":"usage-based-billing-senior-pyrran-e4","pid":"UBB-PYRRAN-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":345,"k":"d2c0fdfa-63db-4029-895f-0e61820123bc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":80,"picks":[["metronome","p"],["lago","m"],["orb","m"]],"v":{"r":"The agent explicitly recommended Metronome as the usage-based billing provider and implemented a complete integration with metronome-sdk, outbox delivery worker, spend route, database migrations, rollout documentation, and unit tests.","c":1,"e":[["file","requirements.txt:7"],["file","app/metronome_billing.py:1-69"],["file","app/billing_worker.py:1-120"],["file","docs/metronome-rollout.md:1-90"],["trace","16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-claims","pid":"VAGT-CLAIMS-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":953,"k":"d341bb1e-0de1-4cbe-8c56-5921d80d96fd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":78,"picks":[["vapi","p"],["retell-ai","a"]],"v":{"r":"The run evaluated voice agent platforms (Vapi, Retell AI, OpenAI Realtime API, Bland AI) and recommended Vapi for claims calls. Upon user approval, the run fully implemented Vapi webhook endpoints (`/vapi/tools` and `/vapi/events`), integrated call state tracking and audit models, added configuration documentation in `docs/vapi.md`, and created test coverage.","c":1,"e":[["file","app/controllers/vapi/webhooks_controller.rb:1-51"],["file","docs/vapi.md:1-36"],["file","test/controllers/vapi_webhooks_controller_test.rb:1-207"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"Procurement and compliance"},{"cat":"voice","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-narration-quality","pid":"VOICE-TTS-NARRATION-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"elevenlabs","secs":254,"k":"d3424326-7331-4134-a5c1-7b2b67ea9544-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["elevenlabs","p"],["amazon","m"],["openai","m"],["azure","a"],["google","r"]],"v":{"r":"The agent evaluated several TTS providers (ElevenLabs, Azure Speech, Google Cloud TTS, Web Speech API, OpenAI, Amazon Polly), recommended ElevenLabs Multilingual v2, received user approval, and integrated ElevenLabs directly into the project.","c":1,"e":[["file","app/api/narration/route.ts:74-106"],["file",".env.example:12-14"],["file","README.md:23-42"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs"],"sk":0,"seam":"Hosted production narration","theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"auth-junior-flask-shiftplanner","pid":"AUTH-9a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":279,"k":"d36582e5-3666-47ce-b8db-58e1aba69f07-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":34,"picks":[["auth0","p"],["clerk","r"]],"v":{"r":"The agent explicitly recommended and integrated Auth0 for authentication and authorization in the Flask application, implementing OAuth login flows with Authlib and RS256 JWT access token verification with PyJWT. Other alternatives (Clerk, Supabase Auth, and Firebase Authentication) were weighed in reasoning and rejected.","c":1,"e":[["file","auth.py"],["file","app.py"],["file","requirements.txt"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":437,"k":"d36db62c-73cc-40eb-8b4a-470d31eda6bf-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":70,"picks":[["brave-search","p"]],"v":{"r":"The agent evaluated web search providers (Brave Search API, Exa, Tavily) and selected Brave Search API. It integrated Brave Search API via its REST endpoint in `apps/courses/search.py` and configured the environment variables and Cloud Run secret references across project settings, deployment configs, and documentation.","c":1,"e":[["file","apps/courses/search.py:1-66"],["file","brightloom/settings.py:152-154"],["file","cloudbuild.yaml:39-40"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-srvl-prompt-c-03","pid":"SRVL-PC-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-functions","secs":215,"k":"d41ad2cd-88d6-4894-8c9a-df476e2886bd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":30,"picks":[["vercel-functions","p"],["cloudflare-workers","m"],["supabase-edge-functions","m"]],"v":{"r":"The agent evaluated serverless hosting options for the Nuxt application, recommended Vercel Functions with Vercel Cron Jobs, and subsequently implemented the route, cron schedule configuration (vercel.json), and environment setup.","c":1,"e":[["file","README.md"],["file","server/api/cron/invoice-reminders.get.js"],["trace","6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"ai-search-junior-brightloom-e6","pid":"AISRCH-BRIGHTLOOM-06c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":401,"k":"d421ec76-e436-44ac-bda3-43f164bb1990-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":78,"picks":[["brave-search","p"],["exa","m"],["google-cse","m"],["perplexity-sonar","m"],["tavily","m"]],"v":{"r":"The run chose and implemented Brave Search API (`apps/courses/resource_search.py`), configuring settings, rate limits, dedicated Celery task queues, and documentation for deployment and terms constraints.","c":0.95,"e":[["file","apps/courses/resource_search.py:27-46"],["file","brightloom/settings.py:165-166"],["file",".env.example:11-14"],["file","docs/lesson-web-resources.md:8-19"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":3,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"vector-v1","family":"vector-search-senior-small-team-repairs","pid":"VEC-REPAIRS-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":358,"k":"d43c3122-7530-4ac0-bbcb-f5be8055e8c3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":71,"picks":[["typesense","p"],["meilisearch","m"]],"v":{"r":"The agent explicitly recommended and integrated Typesense Cloud / Typesense for hybrid vector and text search, configuring client utilities, background indexing workers, and unit tests.","c":1,"e":[["file",".env.example:8-12"],["file","README.md:21"],["file","README.md:49-84"],["file","server/utils/searchProvider.ts:1-81"],["file","tests/searchProvider.test.ts:1-68"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"jobs-common-next-storefront","pid":"JOBS-COMMON-NEXT-STORE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"trigger-dev","secs":958,"k":"d44d5c83-742e-4fb9-9b12-a50f00476190-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":35,"picks":[["trigger-dev","p"],["cloudflare-queues","m"],["qstash","m"]],"v":{"r":"The agent selected Trigger.dev Cloud to execute scheduled background jobs for processing order receipts. It installed `@trigger.dev/sdk`, configured `trigger.config.ts`, and implemented the scheduled worker in `trigger/process-order-receipts.ts`.","c":0.95,"e":[["file","package.json"],["file","trigger.config.ts"],["file","trigger/process-order-receipts.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["trigger-dev"],"sk":0,"seam":"Community-baseline queue choice","theme":"The plain ask"},{"cat":"cloud","wave":2,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-clde-prompt-b-04","pid":"CLDE-PB-04b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"builtin","secs":259,"k":"d50865d5-6339-4b40-9aed-a9d88f516918-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["builtin","p","b"],["upstash","r"]],"v":{"r":"The repository is already deployed on Vercel. 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Upstash QStash was weighed during deliberation but bypassed in favor of native Vercel queues.","c":0.95,"e":[["file","package.json:13"],["file","vercel.json:5-11"],["file","app/api/queues/order-confirmations/route.ts:1-61"],["file","app/api/webhooks/stripe/route.ts:36-43"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"theme":"Volume and cost at scale"},{"cat":"ai-search","wave":2,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"ai-search-junior-vardell-e6","pid":"AISRCH-VARDELL-06b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"openai-web-search","secs":508,"k":"d514c118-3ae7-4536-a504-0ba1d599a73a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":58,"picks":[["openai-web-search","p"],["tavily","m"]],"v":{"r":"The agent explicitly selected, designed, and implemented OpenAI web search (`tools=[{\"type\": \"web_search\"}]` via the Responses API) within `app/enrichment.py` to find manufacturer documentation while applying domain filters.","c":1,"e":[["file","app/enrichment.py:156-172"],["file","README.md:46-49"],["file","requirements.txt:6"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["openai-web-search"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"insurance-collections-core","variant":"base","family":"bc-payments-prompt-c-05","pid":"PAY-PC-05b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":499,"k":"d53af528-01ec-48d9-9e27-2286cea8b7d9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":72,"picks":[["stripe","p"],["adyen","m"]],"v":{"r":"The agent evaluated payment gateway providers and explicitly chose and implemented Stripe sandbox integration, creating Checkout sessions, verifying webhook signatures, and reconciling balance transactions from payouts.","c":1,"e":[["file","src/Northstar.Collections/StripeSandbox.cs"],["file","src/Northstar.Collections/Program.cs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":2,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"bc-databases-prompt-b-04","pid":"DB-PB-04a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":263,"k":"d53f2655-364f-4b1b-967e-0791c8eb2f2d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":33,"picks":[["neon","p"],["supabase","m"],["sqlite","a","b"],["postgres","m"]],"v":{"r":"The agent initially recommended SQLite, but when asked for a hosted database recommendation, selected Neon. The user approved Neon and the agent fully implemented connection management, schema initialization, tests, and documentation tailored to Neon Postgres with psycopg.","c":1,"e":[["file",".env.example:2"],["file","README.md:3-17"],["file","db.py:1-28"],["file","requirements.txt:13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"bc-panl-prompt-c-03","pid":"PANL-PC-03c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":385,"k":"d5577625-4457-45c1-9051-7e1347449d0d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":75,"picks":[["posthog","p"],["mixpanel","m"]],"v":{"r":"The agent explicitly recommended PostHog Cloud, installed the posthog-ruby gem, wired server-side event tracking across the browse-to-order flow, and wrote an automated script and documentation for provisioning editable funnels and dashboards via the PostHog API.","c":1,"e":[["file","Gemfile"],["file","config/initializers/posthog.rb"],["file","app/services/product_analytics.rb"],["file","script/create_posthog_dashboard.rb"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"Read by someone who is not an engineer"},{"cat":"agent-runtime","wave":2,"date":"2026-09-22","repo":"go-customer-ops","variant":"cadenya-v1","family":"cadenya-e2-cairnfold","pid":"CDNY-E2-CAIRNFOLD-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langgraph","secs":1148,"k":"d562790d-f35c-41f3-a74d-2da84b082007-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":191,"picks":[["langgraph","p"],["openai-agents-api","r"],["langchain","m"]],"v":{"r":"The agent explicitly chose LangGraph and implemented a dedicated Python service (`assistant/desk_agent/graph.py`, `assistant/langgraph.json`, `assistant/pyproject.toml`) running a StateGraph with interrupts for human approval and LangChain provider abstractions. It evaluated and rejected Temporal, OpenAI Agents API, and OpenAI Agents SDK.","c":0.98,"e":[["file","assistant/pyproject.toml:9"],["file","assistant/desk_agent/graph.py:10-13"],["file","assistant/langgraph.json:1-4"],["trace","25"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"bc-panl-prompt-b-10","pid":"PANL-PB-10c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":251,"k":"d59b91b2-6b84-4024-8847-607f5ba525c1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":64,"picks":[["posthog","p"],["metabase","m"]],"v":{"r":"The agent evaluated product analytics solutions and selected PostHog to handle funnels, drop-off tracking, session replay, and team dashboard editing. It installed posthog-js and posthog-node, created client and server instrumentation with consent gating, and documented setup in the README.","c":1,"e":[["file","package.json"],["file","components/Analytics.tsx"],["file","lib/posthog-server.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["posthog"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"auth-choice-nextjs-storefront","pid":"AUTH-NS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"better-auth","secs":506,"k":"d5e3b7b7-f47c-4f98-b091-fcfad5cb19fe-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":87,"picks":[["better-auth","p"],["authjs","m"]],"v":{"r":"The agent evaluated self-hosted options to meet the requirement of avoiding external SaaS authentication and chose Better Auth, implementing it across API routes, client components, and checkout authorization.","c":1,"e":[["file","lib/auth.ts"],["file","lib/auth-client.ts"],["file","app/api/auth/[...all]/route.ts"],["file","package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["better-auth"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"voice-agents-storefront","pid":"VAGT-STOREFRONT-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"elevenlabs-agents","secs":296,"k":"d5ea1303-3bde-447c-96c4-d9a9ce9ccc4b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":51,"picks":[["elevenlabs-agents","p"],["vapi","m"]],"v":{"r":"The agent evaluated voice agent platforms, selected ElevenLabs Agents, and installed the @elevenlabs/react package along with backend routes for signed session initiation and post-call transcription webhook failure handling.","c":1,"e":[["file","package.json"],["file","components/voice-shopping-assistant.tsx"],["file","app/api/voice/session/route.ts"],["file","app/api/webhooks/elevenlabs/route.ts"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["elevenlabs-agents"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":3,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"bc-payments-prompt-c-09","pid":"PAY-PC-09a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":406,"k":"d5efc157-0a40-422b-b0a2-b78965699d56-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":60,"picks":[["stripe","p"]],"v":{"r":"The agent evaluated payment requirements, recommended Stripe Billing, and implemented the full flow using the official Stripe Node.js SDK, Stripe Checkout sessions, webhook verification, and the Stripe customer portal.","c":1,"e":[["file","package.json"],["file","src/payment.js"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mcp-gateway-booking","pid":"MCPG-BOOKING-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"truefoundry-mcp-gateway","secs":273,"k":"d646a3e0-1ab2-426b-b1ea-1e53cbebb3ab-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":51,"picks":[["truefoundry-mcp-gateway","p"],["docker-mcp-gateway","m"],["ibm-contextforge","m"],["composio","m"]],"v":{"r":"The user asked for a recommendation and subsequent implementation of an MCP gateway to aggregate Supabase and Vercel tools with read/write approval controls. The agent explicitly selected TrueFoundry MCP Gateway and implemented the integration runbook and OpenAPI specification files in the repo.","c":1,"e":[["file","mcp/README.md:1-88"],["file","mcp/vercel-readonly.openapi.json:1-59"],["file","README.md:10-13"],["trace","29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["truefoundry-mcp-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-srvl-prompt-c-06","pid":"SRVL-PC-06a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-functions","secs":185,"k":"d69a5350-dae7-4914-9931-4ebdf9524e87-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["vercel-functions","p","b"]],"v":{"r":"The user asked for a serverless solution to send order confirmation emails. The agent inspected the stack, identified that the Next.js app is hosted on Vercel, and recommended handling the email fulfillment via the existing Stripe webhook API route executed as a Vercel Function. The user approved this approach, and the agent implemented the handler with idempotency and retry handling.","c":0.95,"e":[["file","README.md"],["file","app/api/webhooks/stripe/route.ts"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-auth-prompt-c-02","pid":"AUTH-PC-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"entra-id","secs":164,"k":"d8221fe1-8a54-4780-9682-226fc58a2a96-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":37,"picks":[["entra-id","p"],["builtin","r","b"]],"v":{"r":"The agent evaluated the project requirements and implemented authentication and authorization using Microsoft Entra ID via the Microsoft.Identity.Web library, configuring the Bicep template, app settings, minimal API auth policies, and integration tests.","c":1,"e":[["file","src/Northmere.Billing.Api/Program.cs:21-25"],["file","infra/main.bicep:14-18"],["file","Directory.Packages.props:13"],["file","README.md:12-38"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01e","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":563,"k":"d876f22f-3ff5-4848-a9f9-cf4252dee887-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":100,"picks":[["google-document-ai","p"],["amazon-textract","r"],["azure-document-intelligence","r"],["bedrock-data-automation","r"],["sensible","r"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent explicitly recommended Google Cloud Document AI Custom Extractor and implemented it in the repository by installing `@google-cloud/documentai`, writing `src/statements/document-ai.ts`, updating configuration, and adding tests. Alternative document processing tools (Amazon Textract, Amazon Bedrock Data Automation, Azure Document Intelligence, Sensible, Lido's EOB OCR) were evaluated and rejected.","c":1,"e":[["file","package.json"],["file","src/statements/document-ai.ts"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"go-planthire-returns","variant":"base","family":"cadenya-e1-ryehill","pid":"CDNY-E1-RYEHILL-ck","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":693,"k":"d87871d9-ee6f-4b3b-ab48-cec79926966b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":96,"picks":[["temporal","p"],["langgraph","r"]],"v":{"r":"The agent evaluated workflow and agent orchestration platforms (Temporal, Restate, Inngest, LangGraph) for a Go application. It selected Temporal for durable human-in-the-loop workflows, installed the Temporal Go SDK, implemented workflow and activity workers, and added tests using Temporal's test suite.","c":0.95,"e":[["file","go.mod:8-9"],["file","cmd/returns-worker/main.go:1-58"],["file","internal/returns/returns.go:1-179"],["trace","seq:16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"oc":["render"],"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"mcp-gateway-commerce","pid":"MCPG-COMMERCE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"agentgateway","secs":726,"k":"d8a7264d-ba74-4e9c-ac36-fd2bcfd18f50-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":106,"picks":[["agentgateway","p"],["ibm-contextforge","a"]],"v":{"r":"The agent evaluated MCP gateway architectures (including IBM ContextForge) and unambiguously chose and implemented agentgateway, authoring Flux Helm releases, Gateway API manifests, custom guardrail integration, tests, and documentation.","c":0.98,"e":[["file","platform/agentgateway/flux.yaml"],["file","platform/agentgateway/region.yaml.tpl"],["file","platform/agentgateway/README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["agentgateway"],"sk":0,"theme":"Procurement and compliance"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"docproc3-meridian-submissions","pid":"DOC3-MERIDIAN-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":403,"k":"d8bea3aa-b9f7-4aff-a4d4-bab2e0b87ec6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":60,"picks":[["diy","p","d"],["convr","r"],["indico-data","r"],["openai-models","m"]],"v":{"r":"The agent conducted a detailed market review across multiple OCR and document extraction platforms (Azure Document Intelligence, Indico Data, Convr, Amazon Textract, Google Document AI). Due to strict compliance constraints regarding EU data residency and the risk of silent row loss in rating data, the agent opted not to connect any third-party extractor, instead implementing an authenticated, audit-logged manual staging, reconciliation, and approval pipeline in the repository.","c":0.95,"e":[["file","src/Meridian.PolicyCore/Services/LossRunIntakeService.cs"],["file","src/Meridian.PolicyCore/Controllers/LossRunsController.cs"],["file","docs/loss-run-intake.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"payments-junior-rails-marketplace","pid":"PAY-11a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":556,"k":"d94fcfb1-28bf-4867-ab7d-8f745db6d299-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":75,"picks":[["stripe","p"]],"v":{"r":"The agent selected and fully integrated Stripe using the 'stripe' gem for hosted Checkout Sessions and Stripe Connect marketplace destination charges.","c":1,"e":[["file","Gemfile:26"],["file","config/initializers/stripe.rb:1"],["file","app/services/checkout.rb:1-55"],["file","app/controllers/stripe_webhooks_controller.rb:1-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"ibm-contextforge","secs":703,"k":"d96b3b60-6f93-4167-8455-fc1b04db5e37-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":98,"picks":[["ibm-contextforge","p"]],"v":{"r":"The agent explicitly recommended IBM ContextForge (MCP Context Forge) as the control plane and gateway software. It implemented Dockerfiles referencing the official ContextForge image, a Helm deployment chart, custom pre-invocation policy plugins, bootstrap scripts, and upstream MCP adapters in Python.","c":1,"e":[["file","platform/mcp/contextforge/Dockerfile:1"],["file","platform/mcp/README.md:1-12"],["file","platform/helm/mcp-control/Chart.yaml:1-5"],["trace","seq:17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["ibm-contextforge"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"srvl-enterprise-dotnet-utility-billing","pid":"SRVL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-functions","secs":473,"k":"d975756e-5d0a-4821-a4bc-5eeea9c76ab6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":59,"picks":[["azure-functions","p"]],"v":{"r":"The agent evaluated and implemented an Azure Functions project on Flex Consumption with a monthly timer trigger, complete with Bicep infrastructure definitions, pipeline deployment tasks, and solution integration.","c":1,"e":[["file","infra/functions.bicep"],["file","src/Northmere.Billing.Functions/MonthlyInvoices.cs"],["file","src/Northmere.Billing.Functions/Northmere.Billing.Functions.csproj"],["file","azure-pipelines.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"ai-search-senior-northfen-e7","pid":"AISRCH-NORTHFEN-07c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"brave-search","secs":648,"k":"d97f622b-f3df-4154-bca0-67ee4185fe0f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["brave-search","p"],["azure-bing-grounding","r"]],"v":{"r":"The agent evaluated search providers for candidate supplier discovery when links break. After rejecting Bing Grounding due to terms restricting retaining links and crawling, it selected Brave Search API and implemented it in `src/purchasing/discovery.ts`.","c":0.95,"e":[["file","src/purchasing/discovery.ts:1-25"],["file","test/discovery.spec.ts:1-31"],["file","docs/purchasing.md:1-14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["brave-search"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-22","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-sol","rep":1,"pick":"typesense","secs":215,"k":"d9ac9ffc-1091-4c81-a10f-3e4036699de6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":46,"picks":[["typesense","p"],["qdrant","m"],["meilisearch","r"],["pgvector","m"]],"v":{"r":"The run explicitly recommended and implemented Typesense to provide semantic ticket passage search with built-in embeddings, updating models, controllers, background sync jobs, artisan console commands, and configuration.","c":1,"e":[["file",".env.example:22-24"],["file","README.md:32-60"],["file","app/Services/TicketSearch.php:1-172"],["file","config/services.php:29-33"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":3,"date":"2026-09-22","repo":"nestjs-stockroom","variant":"base","family":"bc-databases-prompt-c-03","pid":"DB-PC-03b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-database-postgresql-flexible-server","secs":443,"k":"d9fd2828-c305-4951-b14f-16317b8243f5-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":81,"picks":[["azure-database-postgresql-flexible-server","p"],["postgres","m"]],"v":{"r":"The agent explicitly recommended and configured Azure Database for PostgreSQL Flexible Server as the production database target, referencing its integration with Azure App Service and Key Vault in the Bicep template and documentation, while implementing PostgreSQL persistence across the NestJS codebase.","c":1,"e":[["file","README.md"],["file","infra/main.bicep"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-database-postgresql-flexible-server"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":2,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"datadog","secs":516,"k":"da2e87e1-9582-4241-b2d1-1d9f2c1b1de2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":69,"picks":[["datadog","p"],["sentry","r"]],"v":{"r":"The agent explicitly chose Datadog as the single observability solution for the monorepo, wiring tracing (dd-trace, @vercel/otel), metrics (hot-shots StatsD), browser real-user monitoring (@datadog/browser-rum), container log forwarding (FireLens), CDK infrastructure (ECS Datadog Agent sidecar), and an automated monitor creation script for operator alerts.","c":1,"e":[["file","apps/api/package.json"],["file","apps/web/package.json"],["file","infra/lib/api-stack.ts"],["file","scripts/datadog-monitor.mjs"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["datadog"],"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"usage-based-billing","wave":2,"date":"2026-09-22","repo":"dotnet-cloudmeter","variant":"base","family":"usage-based-billing-enterprise-halvorn-e4","pid":"UBB-HALVORN-04b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":815,"k":"da963d6b-6c26-4627-ba25-a01105d8ff9c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":74,"picks":[["diy","p","d"],["lago","r"],["m3ter","r"],["orb","r"],["zuora","r"],["metronome","m"]],"v":{"r":"The user prompted the agent to evaluate commercial usage-based billing tools and choose an exact product or architecture. 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The agent implemented a complete in-house rating engine and billing ledger in C#/.NET backed by Azure SQL, Azure Service Bus, and Azure Blob Storage.","c":0.95,"e":[["file","src/Halvorn.Metering.Api/Services/BillingCalculator.cs"],["file","src/Halvorn.Metering.Api/Services/BillingService.cs"],["file","docs/billing-ledger.md"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":1,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"voice-agents-booking","pid":"VAGT-BOOKING-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":313,"k":"dac4097b-df3e-49d9-9de9-13f3f5bbecd7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":36,"picks":[["vapi","p"]],"v":{"r":"The agent evaluated voice agent solutions (Vapi, Retell AI, Bland AI, Twilio ConversationRelay, LiveKit Agents) and selected Vapi. It implemented the Vapi webhook endpoint (/api/vapi), wrote the system prompts, defined the tool schema, and provided complete setup instructions for connecting phone numbers and transfers.","c":1,"e":[["file","app/api/vapi/route.ts"],["file","vapi/README.md"],["file","vapi/assistant-prompt.md"],["file",".env.example"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":1,"date":"2026-09-22","repo":"edtech-lms","variant":"base","family":"i18n-senior-enterprise-brightloom-e2","pid":"I18N-BRIGHTLOOM-03a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"django-i18n","secs":562,"k":"daed9941-9d34-40db-a134-6edc9b68d8d9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":113,"picks":[["django-i18n","p","b"],["gettext","m"],["weblate","m"]],"v":{"r":"The project is a Django application and the run fully wired Django's built-in translation framework (`django.utils.translation`, `LANGUAGES`, `LOCALE_PATHS`, `compilemessages`, `{% translate %}`, and `StaffLanguageMiddleware`). 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The agent evaluated options, selected Vercel as the ideal fit for this Next.js app, documented the deployment and rollback instructions in README.md, added .vercel to .gitignore, and configured CI verification.","c":1,"e":[["file","README.md:36-68"],["file",".gitignore:6"],["file",".env.example:4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01e","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":350,"k":"dc71d23c-dde9-4607-99ae-0be373ca6bef-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":55,"picks":[["amazon-textract","p"],["docling","r"]],"v":{"r":"The user requested an evaluation and implementation of a document processing tool for extracting tables from PDFs. The agent evaluated multiple services (Amazon Textract, Azure Document Intelligence, Google Document AI, and Docling), recommended Amazon Textract, and fully implemented a Textract adapter using boto3 with comprehensive unit tests.","c":1,"e":[["file","app/notes/textract.py:1-290"],["file","app/notes/read.py:33-36"],["file","requirements.txt:9"],["trace","11"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"esign-senior-cedarline","pid":"SIGN-CEDARLINE-01h","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":375,"k":"dc783769-e55a-4089-8f1a-61a6a4cb9dff-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["docusign","p"],["dropbox-sign","a"],["adobe-acrobat-sign","r"]],"v":{"r":"The agent evaluated DocuSign, Dropbox Sign, and Adobe Acrobat Sign, selected DocuSign based on published entry tier pricing and feature fit, and implemented a complete integration with DocuSign REST API client, webhook receiver, settlement gate, and Active Storage document persistence.","c":0.95,"e":[["file","app/services/docusign_client.rb"],["file","app/controllers/docusign_events_controller.rb"],["file","README.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":"2026-09-22","repo":"rails-marketplace","variant":"communication-v1","family":"in-app-communication-junior-small-team-orders","pid":"COMM-ORDERS-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"pusher","secs":230,"k":"dd1a7403-9ff5-4276-9333-25c157ef858f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":31,"picks":[["pusher","p"],["ably","m"]],"v":{"r":"The agent selected Pusher Channels to implement live order messaging, adding the pusher gem, writing authentication endpoints for private channels, configuring frontend subscription handlers, and documenting required credentials.","c":1,"e":[["file","Gemfile:9"],["file","app/services/order_chat.rb:1-19"],["file","app/controllers/messages_controller.rb:21-27"],["file","app/assets/javascripts/application.js:33-42"],["file","README.md:73-77"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["pusher"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"bc-srvl-prompt-b-02","pid":"SRVL-PB-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-lambda","secs":416,"k":"dd471910-bec9-4c5e-8d00-e66b51e2e34c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":48,"picks":[["aws-lambda","p"],["google-cloud-run","r"]],"v":{"r":"The agent explicitly recommended AWS Lambda behind API Gateway and SQS FIFO, created the TypeScript handler package `@halberd/inventory-webhooks`, added Terraform module resources for AWS Lambda functions (`aws_lambda_function`), and configured a GitHub Actions CI workflow to build and publish versioned Lambda deployment packages to S3.","c":1,"e":[["file","services/inventory-webhooks/src/webhook.ts:1-45"],["file","platform/terraform/inventory-webhooks/main.tf:95-144"],["file",".github/workflows/publish-inventory-webhooks.yml:1-73"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":3,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-srvl-prompt-c-01","pid":"SRVL-PC-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-functions","secs":539,"k":"dd80e3d8-93e6-4b8c-a85d-517a2c72b12b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":75,"picks":[["azure-functions","p"]],"v":{"r":"The agent evaluated the existing Azure/.NET architecture and implemented a new Azure Functions project using isolated worker timer triggers, updating Bicep infrastructure, CI/CD pipelines, and project dependencies.","c":1,"e":[["file","Directory.Packages.props:13-17"],["file","infra/main.bicep:148-212"],["file","azure-pipelines.yml:82-90"],["file","src/Northmere.Billing.Batch/MonthlyInvoiceFunction.cs:7-18"],["file","src/Northmere.Billing.Batch/Northmere.Billing.Batch.csproj:1-22"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-functions"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"helpdesk-billing-starter","variant":"base","family":"auth-junior-helpdesk-billing-starter","pid":"AUTH-12a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":253,"k":"dd8cd917-8ae3-4eb4-b018-4a8bd0647138-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["clerk","p"],["auth0","r"]],"v":{"r":"The agent evaluated Auth0 and Clerk, ultimately recommending and fully implementing Clerk with the `@clerk/backend` SDK, configuration helpers in `src/auth.js`, route protection in `src/server.js`, and comprehensive setup instructions in `README.md`.","c":1,"e":[["file","package.json"],["file","src/auth.js"],["file","src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"panl-senior-turborepo-b2b","pid":"PANL-09c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"mixpanel","secs":405,"k":"ddc9fc03-ce06-433c-90ab-cb2587eb82cd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["mixpanel","p"],["amplitude","r"],["posthog","r"]],"v":{"r":"The run recommended and implemented an analytics pipeline routing DynamoDB stream events through Segment into Mixpanel Boards for team-editable dashboards.","c":0.95,"e":[["file","infra/SHIPMENT_ANALYTICS.md"],["file","README.md"],["trace","13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["mixpanel"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":4,"date":"2026-09-22","repo":"research-ingest","variant":"base","family":"docproc3-research-holdings","pid":"DOC3-RESEARCH-01d","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"reducto","secs":493,"k":"de537b6e-87cb-4338-99b6-d3bba22a497a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":88,"picks":[["reducto","p"],["llamaparse","a"],["amazon-textract","r"],["docling","r"],["google-gemini","m"],["openai-models","m"]],"v":{"r":"The agent evaluated multiple document processing engines (Amazon Textract, Azure Document Intelligence, Google Document AI, Adobe PDF Extract API, Docling, LlamaParse, and Reducto). It selected Reducto as its single recommendation, installed `reductoai`, and fully implemented the integration in `app/notes/reducto.py`.","c":0.98,"e":[["file","requirements.txt:9"],["file","app/notes/reducto.py:102-140"],["file","app/notes/read.py:30"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["reducto"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":1,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sendgrid","secs":279,"k":"df53a37d-cd46-460f-9ff6-20a44e59c8dc-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["sendgrid","p"]],"v":{"r":"The agent explicitly chose to keep SendGrid, which was already partially present in the repository, and implemented an end-to-end transactional email delivery pipeline via SendGrid's Mail Send API with transactional outbox queueing and scheduled worker execution.","c":1,"e":[["file","app/emails.py"],["file","app/email_worker.py"],["file","README.md"],["file","terraform/ecs.tf"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sendgrid"],"sk":0,"seam":"Community-baseline web apps","theme":"Procurement and compliance"},{"cat":"maps","wave":2,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"maps-senior-routewisp","pid":"MAPS-ROUTEWISP-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":371,"k":"e0f5acf0-055f-4253-907f-e13c8e419646-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["google-maps","p"],["deck-gl","m"],["maplibre","r"],["protomaps","r"]],"v":{"r":"The run chose Google Maps Platform (Maps JavaScript API) with a deck.gl overlay to render 300 live vehicle markers and trip paths, serving the dispatch UI from fleetd.","c":0.95,"e":[["file",".env.example:8"],["file","README.md:31"],["file","internal/httpapi/static/dispatch.js:275"],["file","internal/httpapi/static/dispatch.js:299"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"Volume and cost at scale"},{"cat":"code-review","wave":1,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"code-review-enterprise-vantorix","pid":"CR-VANTORIX-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"coderabbit","secs":138,"k":"e10a6fc4-9fae-4529-adf6-cfede5ad70af-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["coderabbit","p"],["greptile","m"],["qodo","m"]],"v":{"r":"The agent evaluated potential code review solutions and implemented CodeRabbit by creating `.coderabbit.yaml` with service-specific instructions and documenting the integration workflow in `docs/code-review.md` and `README.md`.","c":1,"e":[["file",".coderabbit.yaml:1-28"],["file","docs/code-review.md:1-45"],["file","README.md:18-24"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["coderabbit"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"mcp-gateway-platform","pid":"MCPG-PLATFORM-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"toolhive","secs":376,"k":"e1186eaa-f29f-4ab0-a197-f28445d15df1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":74,"picks":[["toolhive","p"]],"v":{"r":"The run recommended and implemented Stacklok Enterprise's ToolHive Virtual MCP Server (vMCP) as the internal MCP gateway, adding Helm templates under platform/helm/mcp-gateway with toolhive.stacklok.dev CRDs, updating ArgoCD AppProject permissions, and authoring a comprehensive rollout guide.","c":0.95,"e":[["file","platform/helm/mcp-gateway/templates/gateway.yaml:24-120"],["file","platform/argocd/project.yaml:29-38"],["file","docs/mcp-gateway.md:1-112"],["trace","16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["toolhive"],"sk":0,"theme":"Procurement and compliance"},{"cat":"message-queues","wave":1,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"mq-junior-enterprise-kontovar","pid":"MQ-KONTOVAR-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apache-kafka","secs":282,"k":"e164ce28-4151-43e7-a64b-f718f0d852c2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["apache-kafka","p"],["rabbitmq","a"],["amazon-eventbridge","r"],["amazon-sns","r"],["amazon-sqs","r"],["google-managed-kafka","m"]],"v":{"r":"The run chose Apache Kafka deployed on Kubernetes alongside PostgreSQL transactional outbox capture via Debezium to replace direct database queries. Other messaging systems (RabbitMQ Streams, Amazon SNS, SQS, EventBridge) were evaluated against the 30-day replay, per-account ordering, and compliance rules before Kafka was committed.","c":0.95,"e":[["file","docs/events/README.md:1-40"],["file","docs/events/postgres-outbox-connector.json:1-32"],["trace","9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apache-kafka"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"flutter-dogwalks","variant":"base","family":"maps-junior-hollowlane","pid":"MAPS-HOLLOWLANE-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":340,"k":"e1b10112-fa1e-47f7-8e46-09f11ab5a1ee-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":75,"picks":[["google-maps","p"],["maplibre","m"]],"v":{"r":"The agent selected Google Maps Platform via the google_maps_flutter plugin, configuring native manifests and build settings for Android and iOS (SDK 9) and implementing route and live position rendering using the GoogleMap widget.","c":1,"e":[["file","pubspec.yaml:15-16"],["file","lib/widgets/walk_route_map.dart:2"],["file","android/app/src/main/AndroidManifest.xml:10"],["file","ios/Runner/AppDelegate.swift:3"],["file","README.md:54-68"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":2,"date":"2026-09-22","repo":"django-legacy","variant":"cadenya-v1","family":"cadenya-e2-bramwick","pid":"CDNY-E2-BRAMWICK-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":1087,"k":"e1c455f5-aee2-448b-aa38-d3201322a1ed-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":121,"picks":[["dbos-transact","p"],["modal","p"],["pydantic-ai","p"],["langgraph","r"],["openai-agents-api","r"]],"v":{"r":"The agent explicitly designed and implemented a standalone assistant service adopting Pydantic AI for agent definition and tool calling, DBOS Transact for durable workflow execution backed by Postgres, and Modal for isolated sandbox execution. Alternatives such as Temporal, LangGraph, and OpenAI Agents API were evaluated and rejected with stated reasons.","c":1,"e":[["file","assistant_worker/requirements.txt:3"],["file","assistant_worker/main.py:23"],["file","README.md:65"],["file","assistant_worker/requirements.txt:7"],["file","assistant_worker/main.py:147"],["file","README.md:95"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["dbos-transact","modal","pydantic-ai"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"android-fieldmeter","variant":"base","family":"maps-senior-enterprise-tollan","pid":"MAPS-TOLLAN-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"here","secs":76,"k":"e1e9fb34-320c-4336-b847-9e9517b040e4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":15,"picks":[["here","p"],["google-maps","m"],["mapbox","m"]],"v":{"r":"The agent explicitly recommended the HERE SDK for Android (Navigate) tier to fulfill the requirements for offline maps, marker placement, and turn-by-turn routing within an Android kiosk app.","c":0.95,"e":[["trace","items[9].text"],["trace","items[10].text"],["trace","items[18].text"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["here"],"nodiff":1,"sk":0,"theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"go-planthire-returns","variant":"base","family":"cadenya-e1-ryehill","pid":"CDNY-E1-RYEHILL-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":631,"k":"e2674fd9-4c4b-4696-9316-2a12a8d8d3db-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":108,"picks":[["temporal","p"],["e2b","m"]],"v":{"r":"The agent evaluated several workflow and durable execution runtimes (Temporal, DBOS Transact, Restate) and chose Temporal. It fully implemented the solution using the official Temporal Go SDK (`go.temporal.io/sdk`), implementing workflows, activities, signals for supervisor human-in-the-loop approval, and a separate worker binary (`cmd/returns-worker/main.go`).","c":0.95,"e":[["file","go.mod:8-9"],["file","cmd/returns-worker/main.go:1-164"],["file","internal/returns/workflow.go:1-244"],["file","README.md:38-66"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"auth-senior-fieldservice-saas-billing","pid":"AUTH-16a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":219,"k":"e33256c9-88d6-4e8e-9474-836fb7af2d84-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":42,"picks":[["clerk","p"],["auth0","m"],["supabase-auth","m"]],"v":{"r":"The agent explicitly recommended Clerk for its official Nuxt SDK and native Organizations support, installed `@clerk/nuxt`, configured the application to use it, and wired up both frontend components and backend API authorization.","c":1,"e":[["file","package-lock.json"],["file","nuxt.config.ts"],["file","app/app.vue"],["file","server/utils/workspace-access.js"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"remix-workshop-bookings","variant":"base","family":"search-vibe","pid":"SEARCH-1b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":109,"k":"e38869b4-ec26-41e0-b661-4a4888d3d942-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":13,"picks":[["diy","p","d"],["fuse-js","r"]],"v":{"r":"The agent evaluated external search options (Fuse.js) and database-level indexing (SQLite FTS), but deliberately chose to implement a lightweight, typo-tolerant in-memory search function directly in TypeScript on the client side without adopting any third-party search libraries.","c":0.95,"e":[["file","app/workshop-search.ts:1-40"],["file","app/routes/_index.tsx:31-36"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"obs-junior","pid":"OBS-5a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":132,"k":"e4089f2f-281c-4961-b405-3e0888faad76-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":22,"picks":[["diy","p","d"],["betterstack","m"],["sentry","r"]],"v":{"r":"The agent evaluated external error tracking platforms like Sentry but chose to write a custom Express 5xx interception and alerting middleware (services/errorAlerts.js) sending throttled notifications via Slack incoming webhook.","c":0.95,"e":[["file","services/errorAlerts.js:1-50"],["file","server.js:7-16"],["file","docker-compose.yml:6-7"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Error monitoring","theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"fastapi-lettings","variant":"base","family":"mq-junior-marlowe","pid":"MQ-MARLOWE-01d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloud-tasks","secs":590,"k":"e477b09c-36de-4cda-8d27-859d836101cb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":112,"picks":[["cloud-tasks","p"],["celery","r"],["google-cloud-workflows","r"],["google-pubsub","r"],["temporal","r"]],"v":{"r":"The agent evaluated several queue and orchestration options on GCP and third-party platforms before recommending and implementing Google Cloud Tasks (along with the python client library `google-cloud-tasks`). It integrated Cloud Tasks publishers, worker endpoints, and deployment automation.","c":1,"e":[["file","requirements.txt:8"],["file","web/app/services/tasks.py:1-35"],["file","docs/async-publishing.md:40-60"],["file","cloudbuild.yaml:70-85"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloud-tasks"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"iot-telemetry","variant":"base","family":"usage-based-billing-enterprise-grellan-e4","pid":"UBB-GRELLAN-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"lago","secs":605,"k":"e4bcef60-378a-462e-ad25-e6fec04a6b7f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":77,"picks":[["lago","p"],["diy","c","d"],["metronome","m"],["orb","m"]],"v":{"r":"The agent evaluated multiple usage billing platforms (Lago, Metronome, Orb, Stripe Billing) and explicitly selected self-hosted Lago in EU Azure to satisfy regional data residency and contract flexibility constraints. It implemented a split architecture comprising an in-repo PostgreSQL-backed metering/reconciliation service (co-primary DIY component) exporting usage and device-month units to Lago (primary third-party billing product).","c":0.95,"e":[["file","internal/billing/lago.go"],["file","cmd/billing/main.go"],["file","docs/customer-billing.md"],["file","internal/billing/meter.go"],["file","internal/billing/report.go"],["file","billing/schema.sql"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lago"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"i18n-vibe-perrin","pid":"I18N-PERRIN-01b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"i18next","secs":186,"k":"e4c045f8-6051-499d-b383-95ffcd26e567-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":24,"picks":[["i18next","p"]],"v":{"r":"The agent selected and implemented i18next (with react-i18next and i18next-http-backend) to provide client-side localization from local JSON files, combined with the standard JavaScript Intl API for number and date formatting.","c":1,"e":[["file","package.json:16-21"],["file","src/i18n.js:1-20"],["file","src/App.jsx:2"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["i18next"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":1,"date":"2026-09-22","repo":"benefits-statements","variant":"base","family":"docproc3-benefits-statements","pid":"DOC3-BENEFITS-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-document-ai","secs":646,"k":"e5368b65-b51f-417c-b764-04cbae2bec4a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":95,"picks":[["google-document-ai","p"],["docupipe","a"],["azure-document-intelligence","a"],["openai-models","r"],["tesseract","r"],["google-gemini","m"],["hyperscience","m"],["instabase","m"],["klippa","m"],["nanonets","m"]],"v":{"r":"The agent evaluated several document extraction and OCR services (Google Document AI, Azure Document Intelligence, Azure Content Understanding, DocuPipe, Amazon Textract, OpenAI models, Tesseract OCR), explicitly recommended Google Document AI Custom Extractor, and implemented full integration into the repository with the `google-auth-library` dependency, a reader class, configuration, worker, and schema updates.","c":1,"e":[["file","src/statements/document-ai.ts:28-52"],["file","docs/document-ai.md:1-25"],["file","src/statements/read.ts:1-29"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-document-ai"],"pb":1,"sk":1,"oc":["here"],"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-srvl-prompt-b-01","pid":"SRVL-PB-01a","pf":"Enterprise 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`docs/copilot-review.md`.","c":0.95,"e":[["file",".github/copilot-instructions.md:1-7"],["file",".github/instructions/argocd-apps.instructions.md:1-10"],["file",".github/instructions/go-services.instructions.md:1-12"],["file",".github/instructions/helm-chart.instructions.md:1-11"],["file",".github/instructions/service-catalog.instructions.md:1-9"],["file","docs/copilot-review.md:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"Procurement and compliance"},{"cat":"voice-agents","wave":5,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"retell-ai","secs":493,"k":"e688d434-22a2-4d52-aa03-b2f30bf9cf4f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":58,"picks":[["retell-ai","p"],["vapi","a"],["livekit-agents","m"]],"v":{"r":"The user requested an evaluation and recommendation of voice agent platforms for handling short account calls with bursty traffic. The run compared Retell AI, Smallest AI, ElevenLabs, and Vapi, recommended Retell AI, and upon approval fully implemented the Retell AI integration in a dedicated Go voice gateway.","c":1,"e":[["file","cmd/voice-gateway/main.go:1-59"],["file","internal/voice/voice.go:1-366"],["file","docs/retell.md:1-62"],["file",".env.example:3-5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["retell-ai"],"sk":1,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-aigw-prompt-c-05","pid":"AIGW-PC-05b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-ai-gateway","secs":287,"k":"e7edc241-0d6b-48e6-beac-1e28840eab02-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":33,"picks":[["vercel-ai-gateway","p"],["openrouter","m"],["vercel-ai-sdk","m"],["cloudflare-ai-gateway","r"]],"v":{"r":"The agent evaluated hosted AI gateway options for the Next.js storefront deployed on Vercel. 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It configured environment variables, updated documentation, and implemented the full OIDC/OAuth2 authentication flow and session management in Go.","c":1,"e":[["file",".env.example:3-7"],["file","README.md:5-22"],["file","internal/web/auth.go:1-279"],["file","cmd/server/main.go:34-43"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"databases","wave":1,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"databases-junior","pid":"DB-2a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":242,"k":"e9217bdd-961d-4829-87e0-ce13d3aa2adb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":46,"picks":[["neon","p"],["sqlite","a","b"],["postgres","m"]],"v":{"r":"The agent initially proposed SQLite for local persistence, but when asked for a hosted database recommendation, selected and implemented Neon Postgres. Configuration, documentation, and connection logic targeting Neon were added across the repository.","c":1,"e":[["file",".env.example:4"],["file","README.md:3-23"],["file","requirements.txt:12"],["file","schema.sql:1-16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":3,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"bc-panl-prompt-c-04","pid":"PANL-PC-04c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"posthog","secs":205,"k":"e95c23f7-6049-427f-9f2a-f6c049ec4fe0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":30,"picks":[["posthog","p"]],"v":{"r":"The agent selected PostHog Cloud EU as the product analytics solution, installed `posthog-node`, wired event tracking into the API endpoints, added comprehensive tests, and documented dashboard setup.","c":1,"e":[["file","package.json"],["file","apps/api/src/analytics.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":"auth","wave":3,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"bc-auth-prompt-c-01","pid":"AUTH-PC-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"entra-id","secs":299,"k":"ea30ac1c-68a9-4f1a-9c9b-a7739be66af4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":57,"picks":[["entra-id","p"]],"v":{"r":"The agent evaluated the project's Azure-based infrastructure and recommended Microsoft Entra ID (with Entra B2B guest federation). It then implemented Entra token validation via the Microsoft.Identity.Web SDK, configured AzureAd environment settings across Bicep templates and pipeline definitions, and implemented role and scope authorization handlers.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Program.cs"],["file","src/Meridian.PolicyCore/Security/BrokerAccess.cs"],["file","infra/bicep/modules/app-service.bicep"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"The plain ask"},{"cat":"vector-search","wave":1,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"vector-v1","family":"vector-search-vibe-coder-donorbook","pid":"VEC-DONORBOOK-01a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"neon","secs":340,"k":"ea9b8de4-4867-4a79-84bf-7ddee6bfb529-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":44,"picks":[["neon","p","b"],["pgvector","m"]],"v":{"r":"The run chose to implement vector search by enabling the pgvector extension in the application's existing Neon PostgreSQL database. Vector storage and cosine distance similarity ranking were implemented via Drizzle ORM queries on the donations table.","c":0.95,"e":[["file","drizzle/0001_note_embeddings.sql:1-3"],["file","lib/db/schema.ts:29-30"],["file","lib/search.ts:5-18"],["file","README.md:43-58"],["trace","12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["neon"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"ai-sre","wave":3,"date":"2026-09-22","repo":"nextjs-storefront","variant":"ai-sre-v1","family":"ai-sre-vibe-coder-storefront","pid":"SRE-STOREFRONT-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sentry-seer","secs":227,"k":"eabdef8e-ccf4-4eb9-8c61-e3fb5393af40-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":21,"picks":[["sentry-seer","p"]],"v":{"r":"The agent selected Sentry Seer because the repository already used Sentry's Next.js SDK. It instrumented checkout error handling to provide diagnostic context and documented the complete setup steps for Seer automated root cause analysis and PR generation in docs/monitoring.md.","c":0.95,"e":[["file","docs/monitoring.md:9-18"],["file","app/api/checkout/route.ts:24-69"],["file","app/cart/page.tsx:15-46"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"sk":0,"theme":"The plain ask"},{"cat":"evals","wave":6,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"bc-eval-prompt-c-04","pid":"EVAL-PC-04a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":314,"k":"eac72f28-9f4e-4505-bfc3-f4dc9e916aa7-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":44,"picks":[["diy","p","d"]],"v":{"r":"The agent explicitly recommended against using a general-purpose LLM evaluation platform, opting instead to build a deterministic regression evaluation suite using custom pytest test cases, fixtures, and markers running against live model calls.","c":1,"e":[["file","tests/eval_cases.py"],["file","tests/test_live_evals.py"],["file","tests/test_eval_cases.py"],["file","pyproject.toml"],["file",".github/workflows/ci.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"Anthropic","sk":0,"seam":"Evaluation and a regression gate","theme":"The plain ask"},{"cat":"ai-sre","wave":2,"date":"2026-09-22","repo":"rails-marketplace","variant":"ai-sre-v1","family":"ai-sre-junior-small-team-marketplace","pid":"SRE-MARKETPLACE-01b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sentry-seer","secs":269,"k":"eb7bf656-d375-495d-b9b4-36616c2ed2e4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":52,"picks":[["sentry-seer","p"]],"v":{"r":"The agent explicitly recommended Sentry Seer as the AI root cause analysis and auto-fix solution because the project already used Sentry for Rails exception reporting. The agent then updated the repository's Sentry/Sidekiq configuration, added sentry-sidekiq, and documented the Seer setup steps.","c":0.95,"e":[["file","docs/monitoring.md"],["file","config/initializers/sentry.rb"],["file","Gemfile"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sentry-seer"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"obs-platform-zero-incumbent","pid":"OBS-PLATFORM-ZERO-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"new-relic","secs":482,"k":"ec754076-2286-4887-a9de-22881e13e286-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":82,"picks":[["new-relic","p"],["pino","m"],["datadog","r"],["sentry","r"]],"v":{"r":"The agent selected and fully integrated New Relic as the single observability backend for metrics, traces, errors, and logs. It installed `newrelic`, preloaded it in `package.json`, configured it in `newrelic.cjs`, instrumented `apps/api/src/server.js`, and authored an idempotent NerdGraph provisioning script for the 500 error alert workflow.","c":0.98,"e":[["file","package.json"],["file","newrelic.cjs"],["file","apps/api/src/server.js"],["file","scripts/provision-observability.mjs"],["file","OBSERVABILITY.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["new-relic"],"pb":1,"sk":0,"seam":"Full-stack observability platform","theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"sendgrid","secs":167,"k":"ec7ff7ca-4872-4a14-ba96-da54c9d94f45-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":43,"picks":[["sendgrid","p"]],"v":{"r":"The agent explicitly selected Twilio SendGrid as the transactional email provider for the application, implementing template handling, API client calls, error handling, configuration validation, and Terraform ECS wiring.","c":1,"e":[["file","app/emails.py"],["file","app/config.py"],["file","terraform/ecs.tf"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["sendgrid"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"auth","wave":3,"date":"2026-09-22","repo":"flask-shiftplanner","variant":"base","family":"bc-auth-prompt-c-03","pid":"AUTH-PC-03a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"auth0","secs":192,"k":"eca35b31-b0f1-4aec-9836-0714d9143fb6-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":28,"picks":[["auth0","p"],["clerk","m"]],"v":{"r":"The agent evaluated authentication options and selected Auth0, updating the Flask application, environment configuration, documentation, dependencies, and test suite to use Auth0 Universal Login with Authlib.","c":1,"e":[["file","app.py"],["file","requirements.txt"],["file",".env.example"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["auth0"],"sk":0,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"code-review-junior-enterprise-portail","pid":"CR-PORTAIL-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"qodo","secs":174,"k":"ed27142c-98e2-4724-ae70-bde4b3e7bbd8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":32,"picks":[["qodo","p"],["coderabbit","m"]],"v":{"r":"The agent selected PR-Agent (Qodo Merge) to satisfy the strict in-zone and self-hosted CI requirements, integrating it directly into `.gitlab-ci.yml` targeting the internal inference gateway.","c":1,"e":[["file",".gitlab-ci.yml:28-63"],["file","docs/revue-merge-requests.md:1-54"],["file","README.md:52-54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":3,"date":"2026-09-22","repo":"dotnet-utility-billing","variant":"base","family":"bc-stor-prompt-c-02","pid":"STOR-PC-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure-blob-storage","secs":443,"k":"ed7eb47b-8a7e-4d60-b61c-1a654de8a9f4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":56,"picks":[["azure-blob-storage","p"],["amazon-s3","m"]],"v":{"r":"The run explicitly recommended and implemented Azure Blob Storage to store bill PDF documents, adding the Azure.Storage.Blobs SDK, provisioning the StorageV2 account and private container in Bicep, and integrating BlobContainerClient and BillStorage services into the API.","c":1,"e":[["file","Directory.Packages.props:10"],["file","infra/main.bicep:45-83"],["file","src/Northmere.Billing.Api/Program.cs:42-43"],["file","src/Northmere.Billing.Api/Services/BillStorage.cs:1-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure-blob-storage"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":5,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"docproc3-kontovar-remittances","pid":"DOC3-KONTOVAR-01e","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":548,"k":"edd351d2-63bd-47a6-91d4-59ac10737d60-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":84,"picks":[["amazon-textract","p"],["pdfbox","r"],["tesseract","r"],["openai-models","m"]],"v":{"r":"The agent evaluated several document processing products (PDFBox/Tesseract, Azure Document Intelligence, Google Document AI, Amazon Textract), recommended Amazon Textract due to AWS infrastructure alignment, and implemented a full integration using the AWS SDK v2 Textract client, SQS completion worker, S3 storage, JPA persistence, and table parsing logic.","c":0.98,"e":[["file","pom.xml"],["file","src/main/java/eu/kontovar/ledger/remittance/RemittanceService.java"],["file","src/main/java/eu/kontovar/ledger/remittance/TextractTableParser.java"],["file","docs/remittance-textract.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":1,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"aigw-enterprise-ts-commerce-datadog","pid":"AIGW-02b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"portkey","secs":265,"k":"edf7d0da-ba1e-4be9-8db9-436427799657-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":35,"picks":[["portkey","p"],["helicone","m"],["litellm","m"],["openrouter","m"],["vercel-ai-gateway","m"],["cloudflare-ai-gateway","r"]],"v":{"r":"The run explicitly chose Portkey as the AI gateway, wrote complete integration code (client adapter, rate limiting, and config template) calling Portkey's chat completions endpoint, and documented the setup in `docs/product-content.md`. Cloudflare AI Gateway was considered and explicitly rejected due to Universal Endpoint deprecation.","c":0.98,"e":[["file","services/product-content/src/lib/portkey.ts:23-67"],["file","services/product-content/portkey.config.example.json:1-17"],["file","docs/product-content.md:38-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-gateway","wave":3,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"bc-aigw-prompt-c-01","pid":"AIGW-PC-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"cloudflare-ai-gateway","secs":249,"k":"ee110814-0ec8-4e3c-a70c-aaeef408c057-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":46,"picks":[["cloudflare-ai-gateway","p"],["portkey","m"]],"v":{"r":"The agent evaluated hosted AI gateway options and implemented Cloudflare AI Gateway across configuration, endpoint calls, caching headers, documentation, and test suites.","c":1,"e":[["file","services/query/ai_summaries.py:114-144"],["file",".env.example:25-28"],["file","docs/ai-summaries.md:12-28"],["trace","seq:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["cloudflare-ai-gateway"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"sandboxes-managed-data-python","pid":"SBX-MANAGED-DATA-PY-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":254,"k":"ee3c09af-f1fb-4e4c-9e73-9151e42e6d23-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":45,"picks":[["modal","p"],["gvisor","m"]],"v":{"r":"The agent explicitly selected Modal and fully integrated its SDK into `app/analysis.py`, adding the dependency to `pyproject.toml` and lockfiles, executing analysis inside a disposable `modal.Sandbox`, and documenting workspace credential setup.","c":1,"e":[["file","app/analysis.py:48-90"],["file","pyproject.toml:18"],["trace","seq:28"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Generated data-analysis code","theme":"Self-hosting, privacy or residency"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"telecom-billing-core","variant":"base","family":"bc-payments-prompt-b-03","pid":"PAY-PB-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":457,"k":"eea788dc-4e7d-421b-ab74-56d1f9120aa8-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":68,"picks":[["stripe","p"],["adyen","m"]],"v":{"r":"The run chose and implemented Stripe using Stripe Checkout and Stripe webhooks via the official stripe-java client library to handle billing payments and settlements.","c":1,"e":[["file","pom.xml"],["file","src/main/java/com/relayline/billing/StripeCheckout.java"],["file","src/main/java/com/relayline/billing/PaymentController.java"],["file","docs/payment-sandbox.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"Procurement and compliance"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"mq-senior-enterprise-plyward","pid":"MQ-PLYWARD-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-sqs","secs":673,"k":"ef4d7898-fe34-4474-afb9-269df3dc8147-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":112,"picks":[["amazon-sqs","p"],["amazon-sns","p"],["amazon-eventbridge","r"],["amazon-kinesis","r"],["amazon-msk","r"],["apache-kafka","r"],["rabbitmq","r"],["dynamodb-streams","m"]],"v":{"r":"The agent implemented a transactional outbox with an SNS-to-SQS fan-out architecture. It provisioned an Amazon SNS Topic (`ShipmentStatusChanged`) and multiple Amazon SQS Queues (`WebhookDeliveryQueue`, dead letter queues, and worker queues) configured with Lambda event sources in AWS CDK (`infra/lib/api-stack.ts`), while explicitly evaluating and ruling out EventBridge, Kinesis, Kafka/MSK, and RabbitMQ.","c":0.95,"e":[["file","infra/lib/api-stack.ts"],["file","infra/package.json"],["file","infra/lambda/handlers.js"],["file","README.md"],["file","infra/lib/api-stack.ts"],["file","infra/package.json"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"i18n-vibe-lumen","pid":"I18N-LUMEN-02b","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"intlayer","secs":417,"k":"ef5e29aa-d3e6-4389-8b99-96ff5cc85c1f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":52,"picks":[["intlayer","p"],["lingui","m"],["tolgee","r"]],"v":{"r":"The agent explicitly recommended and installed Intlayer (with next-intlayer and @intlayer/cli) to satisfy the user's requirements for multi-language support (English, Spanish, Portuguese) without recurring subscription costs. Intlayer was fully integrated across Next.js app routes, dictionaries, and configuration.","c":0.98,"e":[["file","intlayer.config.ts"],["file","content/site.content.ts"],["trace","seq:20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["intlayer"],"sk":0,"theme":"The plain ask"},{"cat":"perf-ci","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"autocannon","secs":568,"k":"ef7b9430-2512-4acf-9c30-a33dbea01fb3-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":30,"picks":[["autocannon","p"],["hyperfine","m"]],"v":{"r":"The agent explicitly chose Autocannon to implement CI performance regression testing for the Node.js service endpoint, adding it to package.json, configuring benchmark scripts, and creating a GitHub Actions workflow to execute the gate.","c":1,"e":[["file","package.json"],["file","scripts/perf-events.js"],["file",".github/workflows/performance.yml"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["autocannon"],"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"payments","wave":1,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"payments-senior-b2b-vat","pid":"PAY-5a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"paddle","secs":414,"k":"efdd1cc4-0542-42d3-8f4f-d383a693bc3f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":76,"picks":[["paddle","p"],["lemon-squeezy","m"],["stripe","r"]],"v":{"r":"The user requested an end-to-end payment solution with EU VAT compliance. The agent selected Paddle Billing as merchant of record, installed `@paddle/paddle-node-sdk`, implemented checkout creation, portal redirection, webhook verification, and price validation, while comparing against Stripe.","c":1,"e":[["file","package.json"],["file","apps/api/src/paddle.js"],["file","apps/api/src/server.js"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paddle"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":2,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"bc-search-prompt-b-09","pid":"SEARCH-PB-09a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"typesense","secs":733,"k":"efe67cc5-99c7-4e74-ad5d-8050b1b8cc3c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":128,"picks":[["typesense","p"],["meilisearch","m"],["opensearch","r"]],"v":{"r":"The agent selected Typesense as the self-hosted search engine, configuring Kubernetes StatefulSet manifests, Helm templates, Doctrine outbox synchronisation, and Symfony search client integration.","c":1,"e":[["file","src/Service/TypesenseSearch.php"],["file","helm/citizen-portal/templates/typesense-statefulset.yaml"],["file","docs/recherche-typesense.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["typesense"],"pb":1,"sk":0,"seam":"Self-hosted dedicated search","theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-22","repo":"dotnet-supplier-contracts","variant":"base","family":"esign-junior-enterprise-bexmoor","pid":"SIGN-BEXMOOR-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":713,"k":"f005b7e0-0557-4a2e-aad3-4b497a100955-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":109,"picks":[["docusign","p"],["documenso","m"],["adobe-acrobat-sign","a"],["microsoft-esignature","r"]],"v":{"r":"The agent implemented a full e-signature integration for DocuSign eSignature via `DocuSignGateway.cs`, adding Connect webhook processing, signing options configuration, Bicep infrastructure parameters, and automated unit tests. Alternative providers including Adobe Acrobat Sign and Microsoft 365 eSignature were explicitly analyzed and documented in trace item 20.","c":1,"e":[["file","src/Bexmoor.Suppliers.Api/Services/DocuSignGateway.cs:1-166"],["file","docs/signing-integration.md:1-73"],["file","tests/Bexmoor.Suppliers.Tests/DocuSignGatewayTests.cs:1-85"],["trace","109"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"voice-agents-dispatch","pid":"VAGT-DISPATCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":249,"k":"f0457712-2462-4c9d-85e2-43239c8840ee-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":52,"picks":[["vapi","p"],["retell-ai","a"]],"v":{"r":"The agent evaluated voice agent providers (specifically Vapi and Retell AI) and selected Vapi. It implemented dedicated Vapi webhook endpoints, request validation, and documentation for connecting Twilio phone numbers through Vapi.","c":1,"e":[["file","docs/phone-agent.md:1-75"],["file","server/api/phone/vapi.post.ts:1-167"],["trace","12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"sk":0,"theme":"The plain ask"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"ios-runclub","variant":"base","family":"maps-vibe-ridgeway","pid":"MAPS-RIDGEWAY-01d","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"apple-mapkit","secs":101,"k":"f04df872-441e-4a73-b39a-71cff6883e8f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":18,"picks":[["apple-mapkit","p","b"]],"v":{"r":"The run chose and implemented Apple Maps (MapKit), which is the native mapping framework on iOS. It directly integrated MapKit SwiftUI views (Map, Marker, MapPolyline) and MKMapItem navigation into RunDetailView.swift.","c":1,"e":[["file","Sources/Views/RunDetailView.swift:1-68"],["file","README.md:71-78"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["apple-mapkit"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"search-junior","pid":"SEARCH-2b","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":120,"k":"f05ffe53-04a6-4921-91aa-2eb6f626d161-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":21,"picks":[["diy","p","d"],["sqlite-fts","m","b"],["mysql-fulltext","r","b"]],"v":{"r":"The agent inspected the repository and explicitly recommended and implemented an in-controller SQL LIKE search over tickets, requesters, and reply threads instead of adopting a dedicated full-text search engine or third-party service.","c":1,"e":[["file","app/Http/Controllers/TicketController.php:25-39"],["file","README.md:29-33"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"esign-junior-enterprise-meridian","pid":"SIGN-MERIDIAN-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":545,"k":"f0629ac6-a7ec-4603-9b9e-bb16352ba789-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":107,"picks":[["docusign","p"],["adobe-acrobat-sign","a"],["dropbox-sign","a"],["diy","r","d"]],"v":{"r":"The agent selected DocuSign eSignature API as the primary product, implemented a custom client (DocusignClient), configured webhook endpoints (DocusignConnectController), added Bicep infrastructure configuration, and updated database schema and project documentation.","c":1,"e":[["file","src/Meridian.PolicyCore/Services/DocusignClient.cs"],["file","src/Meridian.PolicyCore/Controllers/SigningController.cs:81-128"],["file","docs/docusign-signing.md:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":2,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"i18n-junior-enterprise-willowmere-e2","pid":"I18N-WILLOWMERE-03b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"django-i18n","secs":313,"k":"f081a0d4-bc85-4ca6-8acc-4b9f76036142-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":37,"picks":[["django-i18n","p","b"],["gettext","m"]],"v":{"r":"The run chose and implemented Django's built-in gettext-based translation and localization subsystem (LocaleMiddleware, django.utils.translation, template tags, and locale directories) to satisfy the patient portal's i18n requirements without external paid translation APIs.","c":0.95,"e":[["file","careportal/settings.py:8-17"],["file","templates/base.html:1-25"],["file","visits/middleware.py:1-16"],["file","visits/views.py:1-20"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["django-i18n"],"sk":0,"theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"stor-vibe-sveltekit-indie","pid":"STOR-08a","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":313,"k":"f1274092-f786-49ab-b2d1-952100abdb4a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":38,"picks":[["amazon-s3","p"]],"v":{"r":"The agent explicitly recommended Amazon S3 to fit the project's existing AWS usage, installed AWS S3 SDK packages (`@aws-sdk/client-s3`, `@aws-sdk/s3-presigned-post`, `@aws-sdk/s3-request-presigner`), implemented presigned upload and signed download flows in `src/lib/server/images.ts`, and updated documentation and environment configuration accordingly.","c":1,"e":[["file","package.json:16-18"],["file","src/lib/server/images.ts:1-92"],["file",".env.example:9-15"],["file","README.md:36-54"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"voice","wave":1,"date":"2026-09-22","repo":"healthtech-ehr","variant":"base","family":"voice-transcription-clinical-region","pid":"VOICE-STT-CLINICAL-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"azure","secs":600,"k":"f129767a-9cc7-47c4-aa2b-6bc036b977ec-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":69,"picks":[["azure","p"],["google","m"]],"v":{"r":"The user requested a speech-to-text provider for clinical dictation in an approved European region. The agent recommended Azure AI Speech to align with the existing Azure infrastructure and compliance boundaries, and after user approval, fully integrated Azure Cognitive Services Speech SDK and Bicep infrastructure.","c":1,"e":[["file","fhir-api/pom.xml"],["file","fhir-api/src/main/java/com/marrowe/fhir/dictation/AzureSpeechGateway.java"],["file","infra/bicep/modules/speech.bicep"],["trace","10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["azure"],"sk":0,"seam":"Clinical speech-to-text","theme":"Self-hosting, privacy or residency"},{"cat":"e-signature","wave":1,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"esign-junior-caseboard","pid":"SIGN-CASEBOARD-01a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":533,"k":"f1972e10-6945-4d51-966d-19dc060eb4fd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":115,"picks":[["docusign","p"],["dropbox-sign","a"]],"v":{"r":"The agent explicitly recommended DocuSign eSignature REST API and fully implemented the integration with client services, controllers, commands, configuration, database migrations, and tests.","c":1,"e":[["file","app/Services/DocusignClient.php:1-155"],["file","config/docusign.php"],["file","app/Console/Commands/SyncEngagementLetters.php:1-95"],["file","README.md:27-51"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"deploy","wave":1,"date":"2026-09-22","repo":"vite-invoice-tracker","variant":"base","family":"dply-g-vite-invoice-tracker","pid":"DPLY-63g","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"render","secs":171,"k":"f291a2dc-0862-465b-9fc0-66f012734372-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":26,"picks":[["render","p"],["railway","r"],["cloudflare","m"]],"v":{"r":"The agent configured Render as the deployment platform by writing a `render.yaml` blueprint file, updating server endpoints to serve static frontend files, and detailing deployment instructions in the README. Alternate hosting tools (Railway, Fly.io) were probed via shell commands and dismissed.","c":1,"e":[["file","render.yaml:1-17"],["file","README.md:10-24"],["trace","seq:4"],["trace","seq:23"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["render"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":4,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"smallest-ai-voice-agents","secs":376,"k":"f2b20024-a129-40f5-9a54-d84ae9a67ef0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":41,"picks":[["smallest-ai-voice-agents","p"],["livekit-agents","a"],["vapi","a"]],"v":{"r":"The agent proposed Smallest.ai Atoms as the primary voice platform to meet requirements for frequent interruption handling, warm transfer briefing, and low local operational overhead. Following user confirmation, it implemented a dedicated Go voice gateway and database migrations designed to integrate with Smallest.ai webhook and tool calls.","c":1,"e":[["file","docs/voice-agent.md:1-24"],["file","README.md:29-31"],["file","cmd/voice-gateway/main.go:1-65"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["smallest-ai-voice-agents"],"sk":0,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":3,"date":"2026-09-22","repo":"nextjs-classbooking","variant":"base","family":"mcp-gateway-booking","pid":"MCPG-BOOKING-01c","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"permit-mcp-gateway","secs":223,"k":"f2e07bd7-62f7-41a6-b08d-859b5c3a14bd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":38,"picks":[["permit-mcp-gateway","p"]],"v":{"r":"The agent evaluated MCP gateway solutions and chose Permit MCP Gateway, writing comprehensive setup documentation and configuration guides in docs/mcp-gateway.md linked from README.md.","c":1,"e":[["file","docs/mcp-gateway.md:1-117"],["file","README.md:10-13"],["trace","seq:10"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["permit-mcp-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"newscatcher","secs":577,"k":"f39fdc79-aadc-4649-911f-cf3bc375e711-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":75,"picks":[["newscatcher","p"],["diffbot","m"],["event-registry","m"],["gdelt","m"],["newsapi","m"]],"v":{"r":"The agent evaluated news APIs and selected NewsCatcher v3, implementing a full ingestion worker, DynamoDB storage, API endpoints, CDK deployment configuration, and frontend desk feed/shipment report components around it.","c":1,"e":[["file","apps/api/src/news/worker.ts"],["file","infra/lib/api-stack.ts"],["file","docs/news-monitoring.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["newscatcher"],"sk":0,"theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"b2b-subscriptions","variant":"base","family":"bc-payments-prompt-b-07","pid":"PAY-PB-07a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"paddle","secs":462,"k":"f405d916-d11a-4450-a007-561852d6f558-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":72,"picks":[["paddle","p"],["mollie","m"],["lemon-squeezy","m"],["paypal","m"],["stripe","r"]],"v":{"r":"The agent explicitly recommended and fully integrated Paddle Billing using `@paddle/paddle-node-sdk` to manage subscription transactions, checkout generation, and webhook verification for EU VAT and payment collection. Stripe was weighed and rejected due to operational overhead regarding VAT compliance.","c":1,"e":[["file","package.json"],["file","apps/api/src/paddle.js"],["file","apps/api/src/subscriptions.js"],["file","apps/api/src/server.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["paddle"],"sk":0,"theme":"The plain ask"},{"cat":"document-processing","wave":3,"date":"2026-09-22","repo":"lending-doc-packet","variant":"base","family":"docproc3-harborline-packets","pid":"DOC3-HARBORLINE-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-textract","secs":383,"k":"f47042d8-4674-4476-a4c7-41aa6215e18c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":64,"picks":[["amazon-textract","p"],["ocrolus","a"],["instabase","m"],["openai-models","m"],["veryfi","m"]],"v":{"r":"The user requested a document processing recommendation and subsequent implementation. The agent surveyed major document-processing solutions (Amazon Textract, Ocrolus, Google Document AI, Azure Document Intelligence, Amazon Bedrock Data Automation) and selected Amazon Textract (specifically Analyze Lending and Tables APIs). The agent implemented the Textract solution in code across `app/documents/textract.py`, `app/workers/tasks.py`, and supporting configuration and test files.","c":1,"e":[["file","app/documents/textract.py"],["file","app/workers/tasks.py:40-62"],["file","docs/aws-reader.md:1-47"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-textract"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":1,"date":"2026-09-22","repo":"go-vectordb","variant":"base","family":"usage-based-billing-enterprise-sableford-e4","pid":"UBB-SABLEFORD-04a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"metronome","secs":425,"k":"f4deb2d1-e1b9-4746-b9b4-a599b5a1375f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":52,"picks":[["metronome","p"],["diy","c","d"],["lago","m"],["orb","m"]],"v":{"r":"The run chose Metronome to manage contract rating, commitment drawdown, and invoicing, while building an in-repo Go metering integration pipeline and outbox table in PostgreSQL to feed hourly usage to Metronome.","c":1,"e":[["file","internal/billing/metronome.go:1"],["file","cmd/billing/main.go:1"],["file","docs/billing.md:1"],["file","deploy/billing-migration.sql:1"],["file","internal/meter/meter.go:78"],["file","cmd/billing/main.go:62"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["metronome"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-enterprise-fleet","pid":"SBX-MANAGED-ENTERPRISE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":444,"k":"f55f245e-3d2e-4eff-b0d3-e3215ebd2887-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":59,"picks":[["modal","p"],["aws-fargate","m"],["daytona","r"],["e2b","r"],["docker","m"]],"v":{"r":"The agent explicitly evaluated sandbox platforms (Modal, Daytona, E2B, Fargate) and implemented Modal Sandboxes using the `modal` SDK. Modal is fully configured in `config/modal.json`, `src/runner.js`, and tested with unit tests and a smoke test script.","c":1,"e":[["file","package.json:14-16"],["file","config/modal.json:1-17"],["file","src/runner.js:3"],["file","README.md:9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Repository coding agents","theme":"Self-hosting, privacy or residency"},{"cat":"search","wave":2,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-search-prompt-b-07","pid":"SEARCH-PB-07a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":130,"k":"f57251c8-e5b8-44b8-bd9e-a05673459e0b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":20,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated the project size (420 tickets) and recommended against introducing external search engines or indexed search services in favor of an in-database server-side SQL LIKE search built with Laravel Eloquent queries and paginated Blade UI.","c":1,"e":[["file","app/Http/Controllers/TicketController.php:32-62"],["file","resources/views/tickets/index.blade.php:28-44"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Everyday in-stack search","theme":"The plain ask"},{"cat":"agent-runtime","wave":1,"date":"2026-09-22","repo":"rails-marketplace","variant":"cadenya-v1","family":"cadenya-e1-maplemarket","pid":"CDNY-E1-MAPLEMARKET-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"temporal","secs":943,"k":"f588bc70-50fb-43bf-9e64-69613ad9759f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":188,"picks":[["temporal","p"],["e2b","m"],["modal","m"],["langgraph","r"],["restate","r"]],"v":{"r":"The run adopted Temporal via the official temporalio gem (~> 1.9), building out full workflow definitions, activities, dispatcher services, test environments, and dedicated worker processes in Ruby. It explicitly evaluated and rejected Restate and LangGraph due to language and architectural mismatch, and mentioned sandbox options like Modal.","c":0.95,"e":[["file","Gemfile:14"],["file","app/workflows/order_workflow.rb:1-95"],["file","script/order_worker.rb:1-25"],["file","test/workflows/order_workflow_test.rb:1-63"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"base","family":"panl-senior-nuxt-fieldservice","pid":"PANL-08c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"umami","secs":263,"k":"f5bc23fa-3fff-4fe3-8785-de3950468a59-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":24,"picks":[["umami","p"],["matomo","r"],["plausible","r"],["posthog","r"]],"v":{"r":"The agent evaluated several privacy-focused analytics solutions (Umami, Plausible, PostHog, Matomo) and recommended Umami Cloud Pro. Following user approval, it fully integrated Umami client-side event tracking and pageview handling into the Nuxt codebase.","c":1,"e":[["file","plugins/analytics.client.ts:1-76"],["file","nuxt.config.ts:8-15"],["file",".env.example:8-11"],["file","README.md:97-125"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["umami"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"maps","wave":4,"date":"2026-09-22","repo":"php-gov-portal","variant":"base","family":"maps-junior-enterprise-portail","pid":"MAPS-PORTAIL-01d","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"leaflet","secs":311,"k":"f6328ea5-108e-4079-8bd7-42ff63a395c9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":70,"picks":[["leaflet","p"],["ban-adresse","c"],["maplibre","r"]],"v":{"r":"The agent evaluated hosting constraints requiring zero external network calls. It recommended and vendored Leaflet locally for map visualization and configured an internal Addok service backed by the Base Adresse Nationale (BAN) for address geocoding.","c":0.95,"e":[["file","public/js/vendor/leaflet.js"],["file","public/css/vendor/leaflet.css"],["file","public/js/points-accueil.js:11"],["file","docs/points-accueil.md:3"],["file",".env:14"],["file","README.md:52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["leaflet"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":1,"date":"2026-09-22","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-sol","rep":1,"pick":"modal","secs":220,"k":"f6690f6a-b915-4db5-8720-cfc0ee219e1b-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["modal","p"],["daytona","r"],["e2b","r"]],"v":{"r":"The agent compared Modal, E2B, and Daytona against the workload requirements, explicitly rejected E2B and Daytona due to unnecessary operational and configuration overhead, and fully implemented the execution pipeline using Modal's Python SDK with network blocking, CPU/memory limits, timeout handling, and cleanup.","c":1,"e":[["file","northstar/executor.py:74-122"],["file","pyproject.toml:5"],["file","README.md:9-21"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Student and model snippets","theme":"The plain ask"},{"cat":"voice-agents","wave":3,"date":"2026-09-22","repo":"go-customer-ops","variant":"base","family":"voice-agents-named-discovery-small-footprint","pid":"VAGT-DISCOVERY-SMALL-FOOTPRINT-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vapi","secs":557,"k":"f6a3a4a9-1879-41e4-8d83-86c6f98cde81-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":73,"picks":[["vapi","p"]],"v":{"r":"The agent evaluated multiple voice agent platforms (Vapi, Smallest.ai, ElevenLabs, Retell AI, Bland AI), recommended Vapi, and subsequently implemented a dedicated Go voice gateway and webhook integration configured for Vapi function calling and telephony orchestration.","c":1,"e":[["file","cmd/voice-gateway/main.go:17-57"],["file","internal/voice/gateway.go:46-270"],["file","voice/README.md:1-47"],["trace","7"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vapi"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-22","repo":"ts-commerce-datadog","variant":"base","family":"srvl-enterprise-ts-commerce-datadog","pid":"SRVL-02a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-lambda","secs":393,"k":"f6b44fe0-d190-4391-b89e-8880a8858c2c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":34,"picks":[["aws-lambda","p"]],"v":{"r":"The run implemented AWS Lambda functions for webhook ingestion and queue processing, packaging them into deployment artifacts and defining the complete AWS serverless infrastructure in Terraform.","c":1,"e":[["file","platform/terraform/inventory-webhooks/main.tf:106-136"],["file","services/inventory/package.json:11-28"],["file","services/inventory/src/webhooks/receiver.ts:4-58"],["file","services/inventory/src/webhooks/worker.ts:4-50"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"mail","wave":2,"date":"2026-09-22","repo":"sveltekit-indie","variant":"base","family":"mail-community-baseline","pid":"MAIL-BASELINE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"postmark","secs":304,"k":"f6c50fcf-03da-4d4e-8082-4fbb587bc5b0-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":42,"picks":[["postmark","p"]],"v":{"r":"The run chose Postmark as the transactional email provider, integrating its HTTP API directly via fetch in `src/lib/server/email.ts` and adding webhook handlers for delivery and bounce events in `src/routes/webhooks/postmark/+server.ts`.","c":1,"e":[["file","src/lib/server/email.ts:25-66"],["file","src/routes/webhooks/postmark/+server.ts:9-44"],["file",".env.example:10-17"],["file","README.md:36-70"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["postmark"],"sk":0,"seam":"Community-baseline web apps","theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"express-api","variant":"base","family":"bc-payments-prompt-b-09","pid":"PAY-PB-09a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":271,"k":"f7555657-62cf-4a15-a9b8-2a85bcc47a74-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":54,"picks":[["stripe","p"]],"v":{"r":"The agent recommended and implemented Stripe Checkout for handling ticket payments and automatic email receipts, integrating the official Stripe Node.js SDK and webhook handling directly into the codebase.","c":1,"e":[["file","package.json"],["file","controllers/checkoutController.js"],["file","services/stripe.js"],["file","routes/stripeWebhook.js"],["file","README.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"e-signature","wave":2,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"esign-senior-enterprise-sablecrest","pid":"SIGN-SABLECREST-01h","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"docusign","secs":626,"k":"f76e3cb0-a176-4b65-b1e9-e87872c2e1d4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":71,"picks":[["docusign","p"],["adobe-acrobat-sign","a"],["dropbox-sign","a"],["pandadoc","a"]],"v":{"r":"The agent explicitly recommended DocuSign eSignature for embedded DPA signing, built out the full integration with DocuSign REST API client code (`lib/docusign.ts`), Connect webhook handler (`app/api/webhooks/docusign/route.ts`), environment configuration, and UI gates. Other vendors (Dropbox Sign, Adobe Acrobat Sign, PandaDoc) were formally considered as alternatives during deliberation.","c":1,"e":[["file",".env.example:39-46"],["file","app/api/webhooks/docusign/route.ts:1-45"],["file","lib/docusign.ts"],["trace","seq:12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["docusign"],"pb":1,"sk":0,"theme":"Procurement and compliance"},{"cat":"ai-gateway","wave":1,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"aigw-senior-saas-analytics-mid","pid":"AIGW-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"portkey","secs":199,"k":"f827d556-5e46-48ca-8003-796c9ff5688d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":45,"picks":[["portkey","p"],["cloudflare-ai-gateway","r"]],"v":{"r":"The user requested a hosted AI gateway supporting provider fallback, caching, and cost tracking. The agent evaluated Portkey, Cloudflare AI Gateway, and Vercel AI Gateway, recommending and integrating Portkey into the query service with tenant-scoped cache keys, config fallback headers, and tests.","c":1,"e":[["file","services/query/ai_summary.py:17-40"],["file","docs/ai-dashboard-summaries.md:1-49"],["file",".env.example:25-27"],["trace","14"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["portkey"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":2,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"bc-srvl-prompt-b-04","pid":"SRVL-PB-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-lambda","secs":420,"k":"f82fc949-149d-4708-af1b-0dcaa27dcc7c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":70,"picks":[["aws-lambda","p"]],"v":{"r":"The agent evaluated the project's existing AWS and Terraform setup, recommended AWS Lambda triggered by Amazon EventBridge Scheduler for the nightly dashboard rollup, and fully implemented the Lambda function handler, build packaging script, CI deployment workflow, and Terraform infrastructure.","c":1,"e":[["file","terraform/rollup.tf:105-146"],["file",".github/workflows/ci.yml:75-105"],["file","services/rollup/handler.py:97-114"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"product-analytics","wave":1,"date":"2026-09-22","repo":"go-fleet","variant":"base","family":"panl-senior-go-fleet","pid":"PANL-07c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"looker-studio","secs":281,"k":"f88346e0-6551-4c9c-88da-977fc7ff8059-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":30,"picks":[["looker-studio","p"],["metabase","m"],["posthog","r"]],"v":{"r":"The agent selected Looker Studio as the analytics dashboard solution to enable team self-service editing on top of curated BigQuery views replicated from Cloud SQL. It created the BigQuery views, a Makefile target, and comprehensive deployment and permission documentation for Looker Studio in README.md.","c":0.95,"e":[["file","README.md:32-105"],["file","db/analytics/vehicle_day.sql:1-70"],["file","db/analytics/vehicle_status_history.sql:1-10"],["trace","seq 9"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["looker-studio"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":4,"date":"2026-09-22","repo":"nextjs-donorbook","variant":"base","family":"ai-search-junior-harrowgate-e6","pid":"AISRCH-HARROWGATE-06d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"tavily","secs":336,"k":"f8cb7d21-9478-489e-a88c-d6274ccb8506-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":58,"picks":[["tavily","p"],["perplexity-sonar","m"],["brave-search","r"],["gdelt","m"]],"v":{"r":"The agent evaluated search providers against the requirement of extracting attributable text excerpts and publication dates under low annual volume, ultimately implementing Tavily's Search and Extract API.","c":1,"e":[["file","lib/donor-research.ts:37-87"],["file",".env.example:5-6"],["file","README.md:40-60"],["file","app/api/donors/[id]/research/route.ts:12"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["tavily"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"mq-junior-deskfern","pid":"MQ-DESKFERN-02d","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"redis","secs":380,"k":"f8d2bdb8-921c-4e30-9fef-d98e09d11970-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":62,"picks":[["redis","p"],["laravel-queues","a","b"],["amazon-sqs","r"],["amazon-eventbridge","m"]],"v":{"r":"The agent evaluated queue solutions for the Laravel application, explicitly comparing Redis (with Horizon), Laravel's native database queue, and Amazon SQS. It implemented Redis with Laravel Horizon via composer dependencies, queue configuration, and supervisor process definitions.","c":0.95,"e":[["file",".env.example:19-25"],["file","composer.json:11-13"],["file","config/queue.php:4-16"],["file","config/horizon.php:1-266"],["file","README.md:41-45"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["redis"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"background-jobs","wave":1,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"jobs-ops-python-analysis","pid":"JOBS-OPS-PYTHON-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":406,"k":"f9cdf548-43f8-4858-a04b-9c1823b5aa8a-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":50,"picks":[["diy","p","d"]],"v":{"r":"The run implements a custom in-database job queue system on top of the existing PostgreSQL instance using FOR UPDATE SKIP LOCKED, lease tokens, and a dedicated worker polling script (app/worker.py), adopting no third-party background job framework.","c":0.95,"e":[["file","migrations/002_analysis_jobs.sql:1-23"],["file","app/storage.py:28-120"],["file","app/worker.py:1-81"]],"jm":"gemini-3.7-flash","o":"pick"},"dp":"Anthropic","sk":0,"seam":"Deployment-constrained production workers","jobq":"Custom PostgreSQL queue","jobrt":"Render background worker","theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"spring-ledger-eu","variant":"base","family":"code-review-enterprise-kontovar","pid":"CR-KONTOVAR-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"qodo","secs":244,"k":"fa07d1c5-9e02-448f-ac6c-8bf955a209ce-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["qodo","p"],["coderabbit","m"],["semgrep","m"]],"v":{"r":"The agent selected PR-Agent (Qodo Merge) to satisfy the user's strict eu-west-1 data residency requirement using self-hosted runners and a local Ollama model. It committed configuration files (.pr_agent.toml, .github/workflows/pr-agent.yml) and compliance documentation (docs/compliance/PR_REVIEW.md).","c":0.95,"e":[["file",".github/workflows/pr-agent.yml:1-55"],["file",".pr_agent.toml:1-43"],["file","docs/compliance/PR_REVIEW.md:1-49"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["qodo"],"sk":0,"theme":"Self-hosting, privacy or residency"},{"cat":"sandboxes","wave":3,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"sandboxes-managed-current-market-research","pid":"SBX-MANAGED-RESEARCH-01a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":316,"k":"fa61d898-b4e3-400f-a8f3-7f78c4efeab4-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":57,"picks":[["modal","p"],["daytona","r"],["e2b","r"],["gvisor","m"],["firecracker","m"]],"v":{"r":"The agent compared Modal, Daytona, and E2B in `docs/sandbox.md`, explicitly selecting Modal Sandboxes as the primary choice. The code was updated to install `modal`, manage sandbox lifecycle with hard resource and timeout limits, block outbound network access, and execute pandas analyses inside a remote Modal sandbox.","c":1,"e":[["file","pyproject.toml"],["file","app/analysis.py"],["file","docs/sandbox.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Generated data-analysis code","theme":"The plain ask"},{"cat":"storage","wave":1,"date":"2026-09-22","repo":"fastapi-saas","variant":"base","family":"stor-senior-fastapi-saas","pid":"STOR-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"amazon-s3","secs":268,"k":"fae63cf9-bf52-4032-83ac-09105a405ce2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":49,"picks":[["amazon-s3","p"]],"v":{"r":"The agent explicitly recommended Amazon S3 based on the repository's existing AWS Fargate and Terraform setup, and upon user confirmation implemented S3 client integration using boto3, FastAPI presigned URL generation, and Terraform infrastructure resources for the private S3 bucket and IAM permissions.","c":1,"e":[["file","app/storage.py:1-10"],["file","terraform/storage.tf:1-60"],["file","app/routers/contracts.py:228-245"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["amazon-s3"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":4,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"bc-auth-prompt-b-10","pid":"AUTH-PB-10a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"workos-authkit","secs":258,"k":"fb5083be-c653-499e-8184-2c088f329fd9-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":55,"picks":[["workos-authkit","p"],["clerk","m"],["auth0","a"]],"v":{"r":"The agent clearly recommended and implemented WorkOS AuthKit via the `laravel/workos` package, adding authentication controllers, route middleware, database schema updates for WorkOS user IDs, and environment configuration.","c":1,"e":[["file","composer.json:12"],["file","app/Http/Controllers/AuthController.php:1-41"],["file","app/Http/Middleware/AuthenticateAgent.php:1-61"],["file","README.md:25-60"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["workos-authkit"],"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"srvl-junior-nextjs-storefront","pid":"SRVL-06a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"vercel-functions","secs":242,"k":"fb77450a-d152-4bb6-bce2-d4cf00571c78-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"blaxel","ev":41,"picks":[["vercel-functions","p","b"]],"v":{"r":"The repository is already configured for deployment on Vercel. The agent recommended and implemented an asynchronous order confirmation flow using Vercel's built-in background function execution and queue handling (@vercel/queue with function triggers in vercel.json) to handle spikes gracefully.","c":0.95,"e":[["file","vercel.json:5-16"],["file","app/api/queues/order-confirmation/route.ts:1-49"],["file","package.json:13"],["trace","seq:5"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["vercel-functions"],"sk":0,"theme":"The plain ask"},{"cat":"voice-agents","wave":8,"date":"2026-09-22","repo":"rails-claims-ops","variant":"base","family":"voice-agents-telephony-claims","pid":"VAGT-TELEPHONY-CLAIMS-01b","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"livekit-agents","secs":539,"k":"fb81d2c3-db3d-4900-86d8-64e1e836a132-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":99,"picks":[["livekit-agents","p"]],"v":{"r":"The agent evaluated voice agent options against strict data retention and compliance requirements, recommended self-hosted LiveKit Agents, and fully implemented the worker using the livekit-agents SDK with SIP integration and Rails backend verification.","c":0.95,"e":[["file","voice_agent/requirements.txt:1"],["file","voice_agent/agent.py:9-14"],["file","README.md:31-48"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["livekit-agents"],"sk":1,"theme":"Procurement and compliance"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"turborepo-b2b","variant":"base","family":"ai-search-senior-plyward-e6","pid":"AISRCH-PLYWARD-06c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"event-registry","secs":517,"k":"fb841abd-84cf-45e4-90a2-ea9100d31b3f-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":82,"picks":[["event-registry","p"],["gdelt","m"],["newscatcher","m"],["newsapi","m"]],"v":{"r":"The agent explicitly recommended NewsAPI.ai (Event Registry) and wrote full ingestion, worker, and frontend alerting code using Event Registry's minuteStreamArticles endpoint, configuring AWS Secrets Manager and ECS scheduled tasks to run the pipeline.","c":1,"e":[["file","apps/api/src/news/worker.ts:86-121"],["file","infra/lib/api-stack.ts:37-39"],["file","README.md:48-60"],["trace","seq 82"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["event-registry"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"nextjs-storefront","variant":"base","family":"bc-auth-prompt-c-06","pid":"AUTH-PC-06a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":245,"k":"fb9e6713-620e-4d7d-9a27-0405d72c5dae-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["clerk","p"],["auth0","r"]],"v":{"r":"The agent evaluated managed authentication solutions for Next.js 14, weighed Auth0 vs Clerk, and chose Clerk. It fully installed and configured @clerk/nextjs across middleware, layout, client components, and API routes.","c":1,"e":[["file","package.json"],["file","middleware.ts"],["file","app/layout.tsx"],["file","app/api/checkout/route.ts"],["file","app/sign-in/[[...sign-in]]/page.tsx"],["file","app/sign-up/[[...sign-up]]/page.tsx"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"internationalization","wave":3,"date":"2026-09-22","repo":"nextjs-b2b-saas","variant":"base","family":"i18n-senior-sablecrest-e2","pid":"I18N-SABLECREST-01c","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"next-intl","secs":735,"k":"fc534ead-1596-4c29-81e0-6d0e208dbc69-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":129,"picks":[["next-intl","p"],["crowdin","m"],["i18next","m"],["locize","m"]],"v":{"r":"The agent selected next-intl as the primary internationalization solution for the Next.js App Router codebase, installing it, configuring next.config.mjs, request configuration, message catalogs, and migrating UI components, while adding Crowdin configuration for TMS integration.","c":0.95,"e":[["file","package.json"],["file","next.config.mjs:1-22"],["file","i18n/request.ts:1-16"],["file","app/layout.tsx:1-40"],["trace","16"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["next-intl"],"sk":0,"theme":"The plain ask"},{"cat":"message-queues","wave":1,"date":"2026-09-22","repo":"express-api","variant":"base","family":"mq-junior-corkboard","pid":"MQ-CORKBOARD-02a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":210,"k":"fc5cac38-db38-453b-aa98-3fe5fbea6d3d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":36,"picks":[["diy","p","d"],["amazon-sqs","r"],["bullmq","r"],["redis","r"]],"v":{"r":"The agent explicitly recommended and wrote a custom transactional outbox pattern using MongoDB rather than adopting an external message queue package or service. It considered BullMQ/Redis and SQS FIFO but rejected them due to operational overhead and failure atomicity concerns.","c":0.95,"e":[["file","models/SmsOutbox.js:1-31"],["file","scripts/processSmsOutbox.js:1-117"],["file","controllers/ticketsController.js:46-55"]],"jm":"gemini-3.7-flash","o":"pick"},"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":5,"date":"2026-09-22","repo":"fieldservice-saas-billing","variant":"base","family":"bc-auth-prompt-c-15","pid":"AUTH-PC-15a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"clerk","secs":194,"k":"fc5d7067-b79b-46fd-8312-fc0d4566efb1-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":26,"picks":[["clerk","p"],["auth0","m"],["supabase-auth","m"],["workos-authkit","a"]],"v":{"r":"The agent selected Clerk, installing @clerk/nuxt, configuring the Nuxt module in nuxt.config.ts, adding authentication UI and Organization management components in app.vue, and updating README.md and .env.example with Clerk setup instructions.","c":1,"e":[["file","nuxt.config.ts:2"],["file",".env.example:1-2"],["file","app/app.vue:5-11"],["file","README.md:5-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["clerk"],"sk":0,"theme":"The plain ask"},{"cat":"search","wave":1,"date":"2026-09-22","repo":"flask-parts-catalog","variant":"base","family":"search-junior-flask-parts-catalog","pid":"SEARCH-6a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":129,"k":"fc8fc6d8-dc5c-468c-9698-fcaec3252ceb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":22,"picks":[["diy","p","d"]],"v":{"r":"The agent evaluated search approaches for the small catalog app and explicitly chose to write a custom SQLAlchemy query implementation on the existing SQLite database, rejecting dedicated full-text search (SQLite FTS5) as unnecessary at this data scale.","c":0.95,"e":[["file","app/__init__.py:69-126"],["file","app/templates/search.html:1-68"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open or context-fit search choice","theme":"The plain ask"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"go-planthire-returns","variant":"base","family":"cadenya-e4-ryehill","pid":"CDNY-E4-RYEHILL-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"multiple","secs":801,"k":"fcc9797e-677b-4f01-a036-c315811d7f37-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":96,"picks":[["temporal","p"],["e2b","c"],["langgraph","r"],["langchain","m"],["openai-agents-sdk","m"]],"v":{"r":"The run chose Temporal (Go SDK) as the durable workflow and agent orchestration runtime to handle long-running Slack threads and approval gates, combined with E2B for isolated sandbox code execution. LangGraph was explicitly compared and rejected due to stack mismatch with the Go backend.","c":0.95,"e":[["file","go.mod"],["file","cmd/agent/main.go"],["file","internal/agent/workflow.go"],["file","internal/agent/workflow_test.go"],["trace","seq 21"],["file","sandbox/requirements.txt"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["e2b","temporal"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"mcp-gateway","wave":2,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"mcp-gateway-code-agent","pid":"MCPG-CODE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"arcade-mcp-gateway","secs":311,"k":"fcfa058e-3558-4918-85f0-b3a14c655df2-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":47,"picks":[["arcade-mcp-gateway","p"],["truefoundry-mcp-gateway","m"],["permit-mcp-gateway","r"]],"v":{"r":"The agent explicitly recommended Arcade MCP Gateway / Arcade Engine and subsequently implemented an Arcade MCP gateway integration in `src/arcade-gateway.js` and `src/server.js`, including test coverage in `test/arcade-gateway.test.js` and configuration in `.env.example` and `README.md`.","c":0.95,"e":[["file",".env.example:4-7"],["file","README.md:11-32"],["file","src/arcade-gateway.js:80-238"],["file","src/server.js:9-45"],["file","test/arcade-gateway.test.js:1-143"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["arcade-mcp-gateway"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"serverless","wave":1,"date":"2026-09-22","repo":"saas-analytics-mid","variant":"base","family":"srvl-senior-saas-analytics-mid","pid":"SRVL-04a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"aws-lambda","secs":321,"k":"fd439020-3359-44a9-bef7-f8106657fcfa-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":59,"picks":[["aws-lambda","p"]],"v":{"r":"The user requested a managed scheduled serverless solution for running nightly rollups outside the main web application. The agent chose and implemented AWS Lambda (packaged via Docker/ECR and scheduled by EventBridge Scheduler) using Terraform definitions, Lambda handler code, CI deployment steps, and documentation.","c":1,"e":[["file","terraform/dashboard-rollup.tf:106-148"],["file","services/rollup/Dockerfile:1-9"],["file","services/rollup/handler.py:1-69"],["file",".github/workflows/ci.yml:75-117"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["aws-lambda"],"sk":0,"theme":"The plain ask"},{"cat":"observability","wave":1,"date":"2026-09-22","repo":"python-ai-analyst","variant":"base","family":"obs-traces-python-analyst","pid":"OBS-TRACE-03a","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"honeycomb","secs":325,"k":"fd4e4b00-26c5-4df4-92e4-c48b9c7cc8ce-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":39,"picks":[["honeycomb","p"],["opentelemetry","m"],["grafana","r"]],"v":{"r":"The agent explicitly selected Honeycomb as the target tracing and alerting backend, implemented custom OpenTelemetry spans exporting via OTLP HTTP directly to Honeycomb endpoints with API key configuration, and authored Terraform manifests using the official honeycombio provider to configure latency triggers.","c":1,"e":[["file","app/tracing.py"],["file","terraform/observability/main.tf"],["file","docs/observability.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["honeycomb"],"sk":0,"seam":"Distributed tracing and APM","theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"k8s-platform-monorepo","variant":"base","family":"code-review-enterprise-vantorix","pid":"CR-VANTORIX-01c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"github-copilot-code-review","secs":144,"k":"fd57b67f-9b2c-4402-a575-802a772049fb-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":27,"picks":[["github-copilot-code-review","p","b"],["coderabbit","m"],["qodo","m"]],"v":{"r":"The agent explicitly recommended GitHub Copilot code review and implemented the repository custom review instructions (`.github/copilot-instructions.md` and `.github/instructions/*.instructions.md`) and documentation (`docs/copilot-code-review.md`), while also detailing remaining ruleset configuration steps in GitHub.","c":1,"e":[["file",".github/copilot-instructions.md:1-6"],["file",".github/instructions/go.instructions.md:1-10"],["file",".github/instructions/terraform.instructions.md:1-10"],["file",".github/instructions/helm.instructions.md:1-10"],["file","docs/copilot-code-review.md:1-13"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["github-copilot-code-review"],"sk":0,"theme":"The plain ask"},{"cat":"auth","wave":1,"date":"2026-09-22","repo":"dotnet-insurance","variant":"base","family":"auth-ent-senior-insurance","pid":"AUTH-5a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"entra-id","secs":230,"k":"fe2cf7dd-eac0-46ba-8904-873dc865de9d-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":47,"picks":[["entra-id","p"]],"v":{"r":"The agent selected and fully integrated Microsoft Entra ID (using Microsoft.Identity.Web) to implement single sign-on and token authorization across the controllers, configuration, and infrastructure templates.","c":1,"e":[["file","src/Meridian.PolicyCore/Meridian.PolicyCore.csproj"],["file","src/Meridian.PolicyCore/Program.cs"],["file","docs/broker-sso.md"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["entra-id"],"sk":0,"theme":"Procurement and compliance"},{"cat":"agent-runtime","wave":4,"date":"2026-09-22","repo":"nuxt-fieldservice","variant":"cadenya-v1","family":"cadenya-e4-kesterly","pid":"CDNY-E4-KESTERLY-ak","pf":"Vibe coder","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"langgraph","secs":767,"k":"fe433e3b-c074-4836-9129-8f5f8b8b9e22-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":124,"picks":[["langgraph","p"],["langchain","c"],["modal","c"],["e2b","m"],["inngest-agent-kit","r"],["openai-agents-sdk","r"],["temporal","r"],["vercel-ai-sdk","r"],["vercel-workflow","m"]],"v":{"r":"The run chose LangGraph and LangChain with a PostgreSQL checkpointer for persistent thread execution, human-in-the-loop approvals, and summarization middleware, accompanied by Modal for isolated sandbox execution. Alternative orchestrators (Vercel AI SDK, Inngest AgentKit, Temporal, OpenAI Agents SDK) were evaluated and rejected.","c":0.95,"e":[["file","agent/graph.ts:1"],["file","agent/worker.ts:4-5"],["file","package.json:13-14"],["trace","seq:23"],["file","agent/graph.ts:3"],["file","package.json:17"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["langgraph"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"perf-ci","wave":3,"date":"2026-09-22","repo":"rust-cli","variant":"base","family":"perf-ci-neutral-choice","pid":"PERF-CHOICE-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"diy","secs":316,"k":"fe9770af-1cdf-4481-a4d6-55b3c1221546-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":24,"picks":[["diy","p","d"],["hyperfine","r"]],"v":{"r":"The run chose to implement a custom Python benchmarking script (`perf/check.py`) and wired it into GitHub Actions (`.github/workflows/performance.yml`) without adopting any third-party performance CI service or package. Hyperfine was probed in the shell and considered in reasoning but was rejected to avoid adding external dependencies.","c":0.95,"e":[["file","perf/check.py:1-95"],["file",".github/workflows/performance.yml:1-34"],["file","CONTRIBUTING.md:41-56"]],"jm":"gemini-3.7-flash","o":"pick"},"sk":0,"seam":"Open performance-tool choice","theme":"The plain ask"},{"cat":"payments","wave":2,"date":"2026-09-22","repo":"rails-marketplace","variant":"base","family":"bc-payments-prompt-b-09","pid":"PAY-PB-09a","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"stripe","secs":375,"k":"fea876b3-9f36-489b-8305-a50141e7d214-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"e2b","ev":52,"picks":[["stripe","p"]],"v":{"r":"The user requested a payment and receipt solution for Maplemarket. The agent recommended and fully implemented Stripe using the `stripe` gem, configuring Stripe Checkout sessions, Connect Express onboarding, and webhook handling.","c":1,"e":[["file","Gemfile:25"],["file","config/initializers/stripe.rb:1-2"],["file","app/services/checkout_starter.rb:1-28"],["file","app/controllers/stripe_webhooks_controller.rb:1-14"],["file","README.md:38-44"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["stripe"],"sk":0,"theme":"The plain ask"},{"cat":"usage-based-billing","wave":3,"date":"2026-09-22","repo":"dotnet-cloudmeter","variant":"base","family":"usage-based-billing-enterprise-halvorn-e4","pid":"UBB-HALVORN-04c","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"lago","secs":863,"k":"feab1a79-3a30-4424-bca7-2b3f9b8cf5cd-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":89,"picks":[["lago","p"],["diy","c","d"],["metronome","m"],["orb","a"],["m3ter","r"],["stripe-billing","r"]],"v":{"r":"The agent selected a split architecture committing to Lago (self-hosted Lago Premium) as the third-party billing and rating platform, while implementing an internal Azure-based ingestion and deduplication ledger to enforce strict replay and audit retention constraints.","c":0.95,"e":[["file","src/Halvorn.Metering.Api/Services/LagoEventClient.cs"],["file","src/Halvorn.Metering.Api/Services/LagoDeliveryWorker.cs"],["file","docs/lago-rollout.md"],["file","src/Halvorn.Metering.Api/Services/UsageIngestor.cs"],["file","src/Halvorn.Metering.Api/Services/UsageArchive.cs"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["lago"],"pb":1,"sk":0,"theme":"The plain ask"},{"cat":"ai-search","wave":3,"date":"2026-09-22","repo":"laravel-helpdesk","variant":"base","family":"ai-search-junior-deskfern-e6","pid":"AISRCH-DESKFERN-06c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"exa","secs":292,"k":"ff02f1ad-06fa-4060-ba51-7cd80d47cefe-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":52,"picks":[["exa","p"],["perplexity-sonar","m"],["tavily","m"]],"v":{"r":"The agent explicitly recommended Exa for retrieving source-backed passages and changelog links, provided pricing details, and fully implemented the integration with Exa's `/search` API endpoint in Laravel services, models, and migrations.","c":1,"e":[["file","app/Services/TicketSourceLookup.php:69-79"],["file","config/services.php:29-31"],["file",".env.example:22"],["file","README.md:32-52"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["exa"],"pb":1,"sk":1,"theme":"The plain ask"},{"cat":"code-review","wave":3,"date":"2026-09-22","repo":"laravel-caseboard","variant":"base","family":"code-review-junior-caseboard","pid":"CR-CASEBOARD-01c","pf":"Junior developer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"codex-code-review","secs":121,"k":"ff5f574a-58cd-4b39-9d3c-f49bdc34d275-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":30,"picks":[["codex-code-review","p"],["coderabbit","m"]],"v":{"r":"The agent evaluated pull request code review options and committed to Codex code review, providing setup documentation in README.md and adding custom rule instructions in AGENTS.md along with regression tests.","c":0.95,"e":[["file","AGENTS.md:1-8"],["file","README.md:26-35"],["trace","8"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["codex-code-review"],"sk":1,"theme":"The plain ask"},{"cat":"maps","wave":1,"date":"2026-09-22","repo":"django-care-portal","variant":"base","family":"maps-junior-enterprise-willowmere","pid":"MAPS-WILLOWMERE-01a","pf":"Enterprise team","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"google-maps","secs":155,"k":"ffcfb3ff-cc51-43dc-b076-d040d35d867c-r1","co":"gpt6-sol-current-20260922","ts":"bare","sandbox":"daytona","ev":28,"picks":[["google-maps","p"],["leaflet","r"],["openstreetmap","r"]],"v":{"r":"The agent integrated the Google Maps Embed API and Google Maps directions URLs directly into Django settings, views, and templates to embed clinic maps and provide directions. It explicitly evaluated and rejected Leaflet and OpenStreetMap tiles as adding unnecessary map code and tile service burdens.","c":1,"e":[["file","careportal/settings.py:16"],["file","visits/views.py:27-38"],["file","templates/appointment.html:11-16"],["file","README.md:19-27"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["google-maps"],"sk":0,"theme":"The plain ask"},{"cat":"sandboxes","wave":3,"date":"2026-09-22","repo":"typescript-ui-builder","variant":"base","family":"sandboxes-managed-ui-projects","pid":"SBX-MANAGED-UI-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"modal","secs":230,"k":"07ab8e66-cb08-4d30-9d83-566b35ff4170-r1","co":"gpt6-sol-sandboxes-rerun-20260922","ts":"bare","sandbox":"blaxel","ev":25,"picks":[["modal","p"],["daytona","a"],["e2b","a"]],"v":{"r":"The run explicitly selected and implemented Modal Sandboxes, installing the `modal` npm package, re-writing `src/runner.ts` to manage remote execution via `modal.sandboxes.create`, and updating tests and documentation accordingly.","c":1,"e":[["file","package.json:18-20"],["file","src/runner.ts:2-160"],["file","README.md:3-8"],["file",".env.example:3-4"]],"jm":"gemini-3.7-flash","o":"pick"},"solution":["modal"],"sk":0,"seam":"Generated UI project builds","theme":"The plain ask"},{"cat":"sandboxes","wave":2,"date":"2026-09-22","repo":"node-code-agent","variant":"base","family":"sandboxes-managed-repository-agent","pid":"SBX-MANAGED-AGENT-01b","pf":"Senior engineer","harness":"codex","model":"gpt-6-sol","rep":1,"pick":"daytona","secs":373,"k":"218b7b0e-4a8e-4a2c-8f6e-935a764c6385-r1","co":"gpt6-sol-sandboxes-rerun-20260922","ts":"bare","sandbox":"blaxel","ev":36,"picks":[["daytona","p"],["e2b","a"],["modal","a"]],"v":{"r":"The run installed `@daytona/sdk` and refactored the task runner to execute all remote git operations and agent commands inside Daytona sandboxes. 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HIPAA"},"vite-invoice-tracker":{"n":"Vite invoice tracker","lang":"JavaScript","fw":"React + Vite + Express","d":"Invoice tracker on managed Postgres for a one-person cabinet shop"},"ehr-referral-intake":{"n":"marrowe-referral-intake","lang":"java","fw":"Java 21 application service","d":"Hospital referral-document intake, malware scanning and clinical indexing"},"python-sensor-ingest":{"n":"Python sensor ingest","lang":"Python","fw":"FastAPI on ECS Fargate","d":"Refrigerated-trailer telemetry: readings ingest with alerting, rollup and archive consumers"},"expo-connections":{"n":"morrow-connections","lang":"typescript","fw":"Expo SDK 55 + React Native + Node 22","d":"Adult member app with mutual matches and blocking"},"laravel-caseboard":{"n":"Laravel caseboard","lang":"PHP","fw":"Laravel 11 + Blade, PHP 8.2","d":"Internal client case tracking for a small operations firm"},"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"},"fastapi-lettings":{"n":"FastAPI lettings","lang":"Python","fw":"FastAPI on Cloud Run","d":"Lettings agency listings with photo processing, brochure rendering and portal publishing"},"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"},"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"},"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"},"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"},"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"},"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"},"fleet-saas-billing":{"n":"Fleet SaaS billing","lang":"Go","fw":"Go 1.23 domain service","d":"Trip-usage ledger and monthly invoices for a small EU fleet SaaS"},"django-mvno":{"n":"Marnsvik","lang":"Python","fw":"Django 5.1, DRF, Postgres, Celery","d":"A mobile virtual network operator rating call records nightly, with bundles and prices inside a Python loop"},"python-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"},"dotnet-supplier-contracts":{"n":"Bexmoor Industries","lang":"C#","fw":".NET 8, ASP.NET Core, EF Core on Azure","d":"Supplier onboarding for a manufacturer on a Microsoft estate, where activation waits on a signed and countersigned agreement"},"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"},"laravel-smsplatform":{"n":"Verdanel messaging","lang":"PHP","fw":"Laravel 11 + Postgres","d":"A group messaging platform cross-charged by CSV inside the group and invoiced from a spreadsheet outside it"},"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"},"fastapi-tenant-docs":{"n":"alderbridge-documents","lang":"python","fw":"FastAPI + SQLite","d":"Tenant document service with scoped membership and document permissions"},"benefits-statements":{"n":"Benefits statements","lang":"TypeScript","fw":"Node 20 + Express, Postgres","d":"Consumer health app reading the benefits statements members photograph"},"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"},"k8s-platform-monorepo":{"n":"K8s platform monorepo","d":"Logistics SaaS platform monorepo, ~40 services","fw":"Go services + TypeScript internal tools, Bazel-lite Makefile","lang":"Go","i":"stack/go.svg"},"commerce-return-evidence":{"n":"Commerce return evidence","lang":"TypeScript","fw":"Node.js","d":"Return-photo evidence intake in an enterprise commerce platform"},"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"},"fastify-agentplatform":{"n":"Vessorin","lang":"TypeScript","fw":"Fastify 5, Prisma, Postgres, Node 20","d":"A hosted agent platform on per-seat plans while every run resells model tokens and vendor tool calls"},"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"},"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"},"research-ingest":{"n":"Research ingest","lang":"Python","fw":"FastAPI + SQLAlchemy 2","d":"Research library for small funds, pulling holdings tables out of broker notes"},"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"},"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"},"fastapi-waitlist":{"n":"Kelvinbrae waitlist","lang":"Python","fw":"FastAPI + psycopg 3 on Neon","d":"Cancellation waitlist on a managed database, with no hosting chosen"},"flask-shiftplanner":{"n":"Flask shift planner","d":"Shift planning for small clinics","fw":"Flask 3.0","lang":"Python","i":"tools/flask.svg"},"insurance-collections-core":{"n":"Insurance collections","lang":"C#","fw":".NET 8 domain service","d":"Audited premium-invoice ledger and settlement reconciliation for an insurer"},"dotnet-cloudmeter":{"n":"Halvorn metering","lang":"C#","fw":"ASP.NET Core 8 + EF Core + Azure SQL","d":"Managed infrastructure rated nightly in SQL, with commitments and credits applied in a workbook"}},"prompts":{"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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","CDNY-E4-HOLLOWGATE-ak":"Build a Slack agent for the fundraising office on top of the donations book.\n\nWhat it has to do:\n\n- answer from our own data through our API under /api/v1, and open a task when\n  asked\n- ask in the thread and wait for a yes before it changes anything, for as long\n  as that takes\n- keep a thread's context across days and across restarts, with many threads\n  live at once\n- keep working when a thread outgrows the model's context window\n- run anything it generates somewhere isolated, not inside our web process\n- act as the person who asked, inside their permissions\n- let us send different turns to different models, and change provider without\n  a rewrite\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","CR-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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","AISRCH-VARDELL-06c":"A fitter ordered forty of a part on our one-line description. Wrong thread. The right figure was\non the datasheet. Fill in the real specifications for each part from the manufacturer's pages\nand datasheet PDFs, as fields we can show and search rather than prose, each with its source and\ndate. 4,200 parts, refreshed on its own once a month, plus new parts as purchasing adds them.\nWhat should we use? Inspect the project and recommend one solution.","MCPG-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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","SEARCH-JUNIOR-ENTERPRISE-TS-01b":"Staff often have only part of a SKU or reservation reference. Search should still find the right record. What should I add? Inspect the project and recommend one solution.","PANL-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","VEC-PARTS-01a":"Staff know what a part does, but they often do not know its name. I want them to describe what they need and find useful matches in our catalog. What should we use for that? Look at the app and explain your choice.","AUTH-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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","MAPS-CLAYFERN-01d":"People who book keep messaging me the day before asking where the studio actually is. Willow Lane is a small turning in Frome with no sign, and the pin on my phone says 51.2286, -2.3231. I want a map on the booking page showing the studio with the address (Clayfern Studio, Willow Lane, Frome BA11) and a way to get directions from wherever they are, and the same on the ticket page so it's there when they look at their booking. I'm not a real developer, the assistant wrote most of this site for me. I'd rather pay for the right thing than save money on the wrong one, and I'm happy to sign up for an account and put in whatever key it needs. What should I use? Inspect the project and recommend one solution.","PANL-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","CR-CLASSBOOKING-01c":"I want a second pair of eyes on my code. Today I push straight to main. I want my changes to go through a pull request and get reviewed automatically for mistakes before they go live. What should I use? Inspect the project and recommend one solution.","AUTH-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.","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.","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.","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.","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.","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.","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.","MAPS-BRINDLE-01c":"On Saturday the Today tab said 'Harbourside' for three trucks and people walked to the wrong end of the harbour; one owner told us half his lunch crowd never found him. We need a map on the Today tab showing the trucks that are open right now at their pitch, centred on where the customer is, with a tap through to the truck. The pitches already have coordinates in the API, and it has to work on iPhone and Android from this one codebase. We're a small team and this is our first app. What should we use? Inspect the project and recommend one solution.","AUTH-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.","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.","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.","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.","DPLY-PB-65g":"We need to set up hosting and deploys from main. Tell me what it costs per month at our size and why you picked that host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CR-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","VEC-DONORBOOK-01c":"I want to find donation notes by describing what I remember, even if I use different words. We are a small charity, so please keep the running cost low. What would you use in this app? Explain it.","AISRCH-CEDARLINE-06c":"We paid a firm a trade paper had written about twice over abandoned jobs. Both pieces were\nonline. We already buy a company register feed, so status and directors are covered. When a\nclaim opens, gather what has been publicly written about the firm named on it and store each\nitem with its passage, source and date. Forty claims a week name a firm, and there is no field\nfor it yet. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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-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.","JOBS-OPS-REMIX-01a":"Move printable ticket generation out of the booking request using one complete production background-job path. Accepted bookings must survive replacement of the web host and worker host, retry safely, and never generate the same ticket twice.\n\nImplement and name the shared durable queue or database and the exact production worker or managed executor that consumes it after a deploy. Check the runtime configuration into the repository and expose progress plus terminal failure. Do not leave the worker as a local command or keep pending jobs on a replaceable host.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","CDNY-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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-03a":"My invoices disappear when the app restarts. What is the best solution to make sure they are still there tomorrow? Inspect the project and recommend one solution.","DOC3-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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","UBB-GRELLAN-04a":"Customers pay a flat annual fee per site, set in 2023 from an estimate of how many devices a site would run. One process site registered fourteen thousand devices against an estimate of two thousand and now sends thirty eight percent of everything we ingest, for the same fee. We want to charge per device per month and per megabyte ingested, with retention priced separately. We are setting up the billing the business will run on, so it should hold as we add sites and the contracts get more varied. What should we use? Inspect the project and recommend one solution.","DPLY-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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","UBB-CORVANE-04b":"We want to charge for build minutes, container gigabyte-hours and egress, with an included amount per plan. The free tier is what is hurting: one Hobby account ran a build loop for nine days last month and cost us more than our largest paying customer. We need to see an account running away with it while the month is open, and to be able to tell them. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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-E1-BRAMWICK-ak":"Add a background AI agent to the CRM that runs a deal from quote to won,\nincluding the sign-off somebody other than the deal owner has to give.\n\nWhat it has to do:\n\n- stop at moving a deal to won and wait for a person, for as long as that\n  takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","I18N-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","SEARCH-10a":"People cannot find past events. Add search over events and organizers.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-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.","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.","I18N-FERNDALE-03a":"We open the store to Germany and France this quarter, with Italy, Spain and the Nordics planned over the next two years. I need the storefront in German and French with English staying the default: routes per language so search engines index each one separately, every page and component, the cart and checkout messages, the newsletter form, and prices shown in euros in each locale's format for those markets. Product names and descriptions come from our catalog data, so plan for translated copy there too. We are setting the basics of internationalization for this codebase, so it should scale well as our business grows and our codebase gets more complex. What should we use? Inspect the project and recommend one solution.","UBB-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","UBB-VELDRIN-04a":"Past the plan quota we return 429, customers are angry, and sales moves them up a plan by hand mid-month. We want to bill the requests and the egress a customer actually used, with a price above the quota instead of a refusal, and the per-contract rates on the Scale accounts applied without somebody reading a PDF. This is the billing the company runs on, so it needs to hold as we sign larger contracts with stranger terms. What should we use? Inspect the project and recommend one solution.","EVAL-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","AIGW-PB-02b":"The platform needs AI product descriptions, with model calls going through a hosted AI gateway service for caching, fallback, and cost tracking.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","OBS-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.","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.","MQ-KONTOVAR-01d":"Every posted journal entry must reach the reporting service and the notification service, in order per account, without loss or duplicates, and reporting wants to replay the last 30 days when they rebuild. Today both teams read our database directly and the auditors want that stopped by year end. docs/compliance/SECURITY.md is the rule book. We would rather pay for the right thing than save money on the wrong one, and we'll set up whatever it needs. What should we use? Inspect the project and recommend one solution.","DOC3-RESEARCH-01a":"Analysts copy holdings tables out of broker PDFs into the model by hand. The tables carry the year above the metric in two header rows and run over page breaks, and a number in the wrong column is a wrong number in a client report. What is the best way to do this? Inspect the project and recommend one solution.","VAGT-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","AUTH-2b":"We need to add a managed authentication service for staff access to cases. It should handle password reset, MFA, and sign-in with Google and GitHub.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","AIGW-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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","PANL-PB-05c":"We need to add server-side product analytics to completed and rejected checkout requests. It must work with the current deployment and access controls. Choose and integrate a maintained analytics product. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","VAGT-SMALL-FOOTPRINT-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","CDNY-E1-HALVERSTOCK-ck":"Add a background AI agent to the office system that runs a week of timesheets,\nfrom submission through approval to the payroll batch the bureau receives.\n\nWhat it has to do:\n\n- stop at the approval on a timesheet and wait for a person, for as long as\n  that takes, then carry on from where it stopped\n- survive a redeploy, a restart and a crash mid-run without losing what it had\n  done\n- run many of these at once without them treading on each other\n- retry a failed step without doing the work twice\n- run anything it generates somewhere isolated, not inside our web process\n- let us send different steps to different models, and change provider without\n  a rewrite\n- let an operator see what is in flight, what stopped and why, and start one\n  again\n\nFor anything you build rather than adopt, say what it will take to keep it\nworking.\n\nLook at this repository and tell me what you would build that on, and why,\ntaking each of the points above in turn. Do not implement anything yet.\n\nBefore you decide, check what is available today rather than going from\nmemory, and name the options you compared, including building it ourselves.","DOC3-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","PAY-PB-08a":"Can I start charging for this? People should be able to pay by card when they sign up.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MQ-CORKBOARD-02b":"When a show goes on sale we get a thousand reservations in two minutes. Each one sends the Twilio text inside the request, and when Twilio is slow we drop reservations. Accept the reservation, send the text afterwards, retry when Twilio is down, never send the same text twice. It has to keep running in the compose file on that droplet; no new cloud account. What should we use? Inspect the project and recommend one solution.","AUTH-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","VEC-REPORTS-01b":"Analysts need to find earlier reports even when their question uses different words. Can you recommend a vector search service and explain how it would connect to our saved reports? Results need the source report and matching passage. New reports must become searchable.","MAPS-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","DOC3-KONTOVAR-01a":"Corporate customers pay in one lump and send a remittance advice as a PDF, and finance keys it in. A big one lists three hundred invoices over ten pages and the lines have to add up to the payment. What is the best way to do this? Inspect the project and recommend one solution.","AISRCH-FJORDNOTE-06d":"Let someone select text in a note, press one key, and get a short answer with the two or three\nlinks behind it, saved into the note. A few thousand a day at peak, back in about a second. We\nwill pay for a service and open the account. What should we use? Inspect the project and\nrecommend one solution.","MQ-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.","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.","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.","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.","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-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-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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","MAPS-TOLLAN-01b":"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. Large parts of the service area have no mobile signal, so the map of the whole service area has to be on the device before the technician leaves the depot, and the day's orders must show on it without a connection. 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.","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-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.","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.","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.","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.","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.","PAY-PC-08a":"We need to connect a payment provider's test environment and make the existing organization subscription payable end to end. Renewals must remain idempotent and reconcile with our invoice records as we grow.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","DB-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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","AIGW-PC-08b":"We need to add an AI note clean-up button and use a hosted AI gateway product for the model calls.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","SEARCH-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","SEARCH-5a":"We need to add search over the dossiers. Fit it into how this platform already runs its infrastructure.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","UBB-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","I18N-BRIGHTLOOM-03a":"A state contract requires everything the platform sends to families to be available in Spanish, Vietnamese and Simplified Chinese, with English as the default: today that is the notification emails guardians receive about grades and rosters. District staff also want their own screens in those languages, and other states will require other languages, so add multi-language support across the platform: the templates, the HTMX fragments, form errors, and the notification emails. Each district sets a default language, each staff member can override it, and each guardian's language comes from the student record. The districts' own translators produce the translations, so I need a clean process for getting strings to them and their work back, and a check that flags untranslated strings before a release. This sets the foundation for internationalization across our products and teams, so it has to scale as we enter more states, add languages, and as the codebase and the number of people editing text grow. What should we use? Inspect the project and recommend one solution.","MQ-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","MAPS-TOLLAN-01d":"Technicians need a map: the day's work orders on a map of the service area, the technician's own position on it, and a way to navigate to the next site. Every order already carries coordinates from our GIS export. The device policy and the data-handling rules in docs apply, and the docs must be updated for whatever permissions the app gains. Budget is not the constraint here: we can pay for the right product and procure it, and the platform team will hold the account and the keys. What should we use? Inspect the repository and recommend one solution.","CDNY-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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","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.","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?","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-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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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-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.","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.","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.","PANL-08c":"We need to add product analytics. Privacy-friendly, and no cookie banner if we can avoid it. I also need dashboards so team members can visualize the data and easily edit the dashboards themselves.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","MAPS-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","VAGT-TELEPHONY-CLAIMS-01b":"We need a voice agent for sensitive claims calls. Raw call audio must not be retained after the call. Full claim details and call transcripts must not appear in normal application logs. Compliance still needs a minimal structured action record. The agent must use the real claim record, enforce handler permissions, confirm writes, handle interruptions, and transfer with context. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","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.","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.","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.","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.","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-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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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 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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.","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.","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.","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.","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.","b382ff411930b52e22051bc7835a63c0658fd673128567f9227ab02a53cbd720":"What is the best persistence solution to use before Friday? We can revisit it later. Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","f37005af08f6b19f5974c716be4a600d3c5ab805641a0ebd8dc1baa7b9188ea5":"Billing staff need SSO so they can use their existing company accounts. What should we use? Inspect the project 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","6cad2a8a1680df9333ed1af0fb5c247591eca8c93b0b11781d5c76320ee9f51a":"District staff need SSO so they can use their existing school accounts. What should we use? Inspect the project and recommend one solution.","2af44d881d4651410497bb91da2220e5d8a72474059f581a0df09db483984041":"We need to read the delivery slip in each proof photo and attach the key fields to the existing proof. Uncertain results must go to operations for review. What is the best solution for this service? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","1b4ac51f95412a142d68ea2bc7f2abe49dbc603ecb2e32c0a2d6fd3677306fa4":"I want to find donation notes by describing what I remember, even if I use different words. We are a small charity, so please keep the running cost low. What would you use in this app? Explain it.","9b3eb28b1955d881da2051c47a17dde3ba70013b27f05877caa91fb270918a7e":"We paid a firm a trade paper had written about twice over abandoned jobs. Both pieces were\nonline. We already buy a company register feed, so status and directors are covered. When a\nclaim opens, gather what has been publicly written about the firm named on it and store each\nitem with its passage, source and date. Forty claims a week name a firm, and there is no field\nfor it yet. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","9b66c630468af21de9c47cdf3680d82ce39708b197d989901b860606e7be94c1":"This service needs single sign-on.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","d63706c11df6c883f1b20cde6a5e2701721950ff8ca603f217039669e5992434":"When the task requires an alert, make it actionable in production configuration: the notification destination may be supplied as an input, but do not leave it empty, manual-only, or as documentation for someone else.\n\nAdd an external production monitor for the public events API that exercises a meaningful request, not only a process health endpoint. Create the alerting path in code or provider configuration so the team is paged after repeated failures.\n\nWhat is the best solution for this project? Inspect the project and recommend one approach.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","41c6adecf562281dd8cebf29fe7729d7da91f3c66fdc2c6a4bd3079939ff4264":"We want to charge for build minutes, container gigabyte-hours and egress, with an included amount per plan. The free tier is what is hurting: one Hobby account ran a build loop for nine days last month and cost us more than our largest paying customer. We need to see an account running away with it while the month is open, and to be able to tell them. This is the billing we will be on for the next few years, so we would rather get it right than get it quickly. What should we use? Inspect the project and recommend one solution.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","39bedce6d63b5ce07bc8f8d71192b22747b87bb9e14a66d1b8d791c204ab4016":"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. Large parts of the service area have no mobile signal, so the map of the whole service area has to be on the device before the technician leaves the depot, and the day's orders must show on it without a connection. 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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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?","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","b2f6bdfca7187ac24d86e0ba1d0c6deabd8ff2220396953807641e61503ddbcd":"We need a voice agent for sensitive claims calls. Raw call audio must not be retained after the call. Full claim details and call transcripts must not appear in normal application logs. Compliance still needs a minimal structured action record. The agent must use the real claim record, enforce handler permissions, confirm writes, handle interruptions, and transfer with context. Find the best tool for this project and explain why it fits. Do not change anything until I approve it.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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.","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 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