Code coverage is often seen as a simple metric, but its true value lies in guiding smarter testing strategies. Beyond measuring how much of your code is executed during tests, it highlights critical areas that require attention and ensures that important logic paths are not overlooked.

High coverage alone doesn’t guarantee quality—what matters is meaningful coverage. By analyzing which modules, conditions, or decision paths remain untested, teams can prioritize test creation and focus on high-risk areas. Combining code coverage with automated test generation and continuous monitoring helps maintain confidence even as the codebase evolves.

Modern platforms, including Keploy, leverage code coverage insights to automatically suggest test cases and track gaps, enabling developers to maintain robust, reliable software while accelerating delivery cycles.

Learn more about code coverage here:
https://keploy.io/blog/community/understanding-code-coverage-in-software-testing