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Claude Code integration plan

You are a principal engineer tasked with creating 3 ai native portfolio projects. For each project, include a claude code pairing plan with 8 concrete prompts i can paste into claude code during build:

a) scaffold: generate next.js + node/express (or fastapi) monorepo, eslint/prettier, tsconfig/pyproject, turbo, and basic dockerfiles
b) contracts: write openapi spec and graphql schema; generate typed clients
c) data: design postgres schema + migrations; create seed scripts and faker data
d) workers: add a queue (bullmq or celery); implement one idempotent job with retries and dead-letter handling
e) tests: create jest/pytest setup; write example unit + integration tests and a k6/locust load test
f) ai: add rag or agent loop; write evaluation harness; produce a small golden dataset
g) ci/cd: author github actions for test → build → docker push; gate on coverage and eval score
h) instrumentation: integrate opentelemetry; expose a minimal grafana dashboard config
constraints and tone
• no toy apps. every project must show real-world concerns (backpressure, retries, idempotency, pagination, partial failures, schema migrations).
• prefer typescript or python stacks most teams use today: next.js 14/app router, node/express or fastify, prisma or sqlc, supabase postgres + storage, redis, s3; or python fastapi + sqlalchemy + pg.
• keep output tight. for each project, cap to ~500-700 words while still including all required sections.
• avoid vague ai claims; define precise evals and latency/cost targets.
• ensure each project uses distinct domains and problem types to showcase breadth.

Now generate the 3 projects.