performance-regression

Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.

Build trustworthy pytest-benchmark matrices, collect repeated runs, and detect performance regressions

Profile a pytest suite, script, or callable and comment a CPU + memory hotspot diff on every pull request.

Continuous benchmarking and performance-regression tracking. Runs benchmarks, records baselines in a git branch, renders trend dashboards, and posts non-blocking baseline-vs-PR comparisons.

Production-grade guides and runbooks for query plan baseline tracking, performance regression detection, and CI/CD gate automation — for database SREs and platform teams.

Δ Single-host performance regression scope — A/B window diff & trends, one static Go binary