Code coverage is more than just a metric; it’s a strategic tool for optimizing test suites. By analyzing which parts of the codebase are exercised during testing, teams can identify redundant tests, eliminate gaps, and focus resources on critical areas.

High coverage alone doesn’t guarantee quality, but when combined with meaningful assertions and risk-based prioritization, it helps ensure that tests provide real value. Tracking coverage trends over time also reveals areas where code changes introduce untested logic, guiding ongoing test maintenance and improvement.

When used thoughtfully, code coverage empowers teams to maintain lean, effective test suites that maximize reliability while minimizing wasted effort — ultimately improving both development speed and software quality.