Optimize test CI workflow for faster execution#4
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Key optimizations: 1. **Parallel jobs**: Split into lint, build, and test jobs - lint: Runs linting, format check, and typecheck in parallel with build - build: Builds CLI and web UI, uploads artifacts - test: Downloads artifacts and runs integration tests 2. **Smart Docker caching with BuildKit**: - Always builds Docker image (ensures tests use correct image) - Uses registry-based layer caching (cache-from) - Detects perry/ directory changes to decide when to update cache - Fast builds (~30s) when using cached layers - Full rebuild when Dockerfile/scripts change 3. **Bun dependency caching**: Proper caching of bun install cache and node_modules directories 4. **Test setup optimization**: Skip Docker build in test setup when image already exists (CI pre-builds it) Expected performance: - No Dockerfile changes: ~6-7min (cached Docker layers) - Dockerfile changes: ~8-9min (full Docker rebuild) - Previous: ~10min 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
Optimizes the test CI workflow to reduce execution time through parallelization and smart Docker caching.
Key Changes
Parallel jobs: Split into 3 jobs that can run concurrently:
lint: Linting, format check, typecheck (~30s)build: Build CLI and web UI (~1min)test: Integration/E2E tests (depends on build, ~5-6min)Smart Docker caching with BuildKit:
cache-from)perry/directory changed to decide when to update cacheBun dependency caching: Proper caching of:
~/.bun/install/cachenode_modulesweb/node_modulesBuild artifacts: Upload/download dist directory between jobs
How Docker Caching Works
This ensures:
Expected Performance
Test Plan
🤖 Generated with Claude Code