Implement Feature with Interleaved Testing

Implement Feature with Interleaved Testing

Implement the current feature by following the spec, with interleaved testing after each user story.

User arguments: $ARGUMENTS

Instructions for Claude

You MUST follow these steps:

1. Get current feature number from branch:

   BRANCH=$(git rev-parse --abbrev-ref HEAD)
   NUM=$(echo "$BRANCH" | grep -oE 'alg-([0-9]+)' | grep -oE '[0-9]+')
   

2. Read context files:

   • Read specs/​alg-${NUM}-*/​spec.md - User stories, requirements, acceptance criteria (REQUIRED)
   • Check if specs/​alg-${NUM}-*/​research.md exists - Implementation patterns, files to modify (OPTIONAL)

3. Create a todo list with all user stories from the spec (P1 first, then P2, P3)

4. For each user story, follow this interleaved pattern:

   • Mark the todo as in_progress
   • Implement the functionality (follow research.md patterns if present, otherwise existing codebase patterns)
   • Commit implementation: git commit -m "feat(scope): description ALG-${NUM}"
   • Write unit tests for the implemented functionality
   • Write integration tests if needed (multi-component, database, API, or e2e)
   • Run tests: npm test --workspaces --if-present
   • Fix any failing tests before proceeding
   • Commit tests: git commit -m "test(scope): description ALG-${NUM}"
   • Mark the todo as completed

5. Final verification:

   • Run: npm run type-check --workspaces --if-present
   • Run: npm test --workspaces --if-present
   • Ensure all checks pass

CRITICAL: Do NOT batch all implementation then all tests. Interleave them - implement one story, test it, commit, then move to the next.

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Commit Conventions

Follow Conventional Commits:

Types: feat, fix, test, refactor, perf, docs, chore, ci, build

Examples:

git commit -m "feat(search): add semantic search service ALG-27"
git commit -m "test(search): add semantic search tests ALG-27"
git commit -m "fix(api): handle null response from Tidal ALG-27"

When to Write Integration Tests

Write integration tests when the user story involves:

• Database operations (TypeORM entities, queries)
• External API calls (Tidal, Qdrant, etc.)
• Multi-service coordination
• GraphQL resolver chains
• End-to-end user flows