Use metrics as signals—not goals—and keep them aligned with real risk reduction.
Coverage can be useful, but it can also be misleading. A high percentage does not guarantee you tested the right behavior, and a low percentage does not automatically mean a system is risky.
In Clojure, tests often target pure functions directly, so you can get meaningful coverage quickly—but don’t let the metric replace judgment.
This section focuses on using coverage and quality signals to guide improvement: find untested branches, identify fragile boundary code, and prioritize what actually reduces production risk.