In this episode of Software Testing with Fexingo, Lucas and Luna explore test impact analysis (TIA), a technique that uses code dependency mapping to determine exactly which tests need to run after a code change. They walk through how Google's CI system cut test execution time by 40% using TIA, and why most teams run far more tests than necessary. Lucas explains the difference between static and dynamic impact analysis, the role of build graphs, and how tools like Bazel and Nx implement this. Luna pushes back on adoption friction, and they discuss real-world results from a fintech startup that shaved 22 minutes off their CI pipeline. The episode closes with a reflection on shifting from coverage quantity to coverage efficiency — and a brief note on how listener support keeps the show ad-free.

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