Map your test terrain — understand, optimize, and protect your test system with structural intelligence. AI and regular test parity for CI.
-
Updated
Sep 4, 2026 - Go
Map your test terrain — understand, optimize, and protect your test system with structural intelligence. AI and regular test parity for CI.
Auto-retry failed PHPUnit tests with dependencies instead of full suite retry.
GitHub Actions optimization and CI observability: reuse proven validation, measure latency and runner cost, keep merge gates honest.
A catalog of optimization patterns, correctness contracts and tested references for faster execution, lower memory use and shorter CI without weakening correctness.
Test impact analysis engine - dependency graph, git diff parsing, affected test detection, minimal execution plans. Run only the tests that matter. TypeScript/Node.js + Docker + GitHub Actions CI.
Cut CI time, dependency bloat, and Docker waste before merge
Evidence-based GitHub Actions matrix diagnostics: measure failure signal, preserve coverage, and reduce CI only when history supports it.
Test prioritization engine - ranks tests by failure probability, recency, code proximity, execution cost. Faster CI feedback by running likely-to-fail tests first. TypeScript/Node.js + Docker + GitHub Actions CI.
A toolkit of skills and governance gates for Claude Code, Codex, Gemini, and Copilot CLI.
Where your GitHub Actions time goes, and what to fix first.
To associate your repository with the ci-optimization topic, visit your repo's landing page and select "manage topics."