I used Jev to figure out which tests actually need to run after a Git diff

Reddit r/AI_Agents Tools

Summary

The author built jev-test-impact, a tool that uses Git diffs and static dependency analysis with Jev to score and run only relevant tests, aiming to improve regression recall in testing workflows.

I've been experimenting with Jev recently and wanted to test a pretty simple idea: Most coding agents can modify a repository surprisingly fast now, but then we still run the entire test suite after every change. So I built jev-test-impact. It does: Git diff πŸ‘‰ static dependency analysis πŸ‘‰ candidate test files πŸ‘‰ Jev scores the candidates πŸ‘‰ run only the selected Vitest/Jest files The important part is that Jev never generates commands or arbitrary test paths. It can only choose from tests that were discovered locally. There's also a completely local --static mode so I can benchmark: full suite vs static analysis vs static + Jev I'm especially interested in measuring regression recall, rather than just publishing some ridiculous "99% fewer tests" number while silently missing bugs. I'd love to test this against larger real-world TypeScript repos. I'm also curious, what would make you trust something like this enough to use it in CI?
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