openclaw-test-performance

Diagnose slow pnpm test performance by running grouped baseline benchmarks to compare full-suite runs, surfacing CPU time, memory RSS, and import bottlenecks to identify vitest hotspots. This structured approach targets regressions without sacrificing test coverage.

Test performance benchmarking is the structured measurement of test suite speed and resource usage across grouped runs. You need it when pnpm test suites become slow and noisy, delaying development cycles and introducing latency regressions.

Yes, you can optimize CI test speed without losing vitest coverage by establishing reproducible benchmark experiments and clear rollback guardrails. This ensures you can iteratively accelerate tests while preserving correctness and full coverage.

Profile vitest hotspots by collecting standardized performance artifacts during grouped pnpm test runs. Inspecting these artifacts surfaces CPU time, memory RSS consumption, and specific import bottlenecks to guide your targeted test optimizations.

The best way to establish reproducible test benchmarks is to standardize performance commands and artifact collection. This ensures consistent baseline measurements across grouped experiments, providing reliable guardrails for future test changes.

Your test suite slows down after updates due to newly introduced latency hotspots. Running grouped performance measurements against your baseline run compares full-suite results to pinpoint the exact regressions causing the delayed execution.