<p data-start="146" data-end="465">Many teams chase high code coverage percentages, but understanding what those numbers actually represent is key to improving software quality. Code coverage measures how much of your source code is executed during testing&mdash;but it doesn&rsquo;t always mean that all critical paths or edge cases are validated. Effectivecode coverage focuses on testing meaningful scenarios rather than achieving a perfect score. Platforms like <strong data-start="585" data-end="595">Keploy help enhance practical coverage by automatically generating test cases from real API traffic, ensuring that real-world user flows are captured and tested without additional manual work. By combining insightful code coverage analysis with automation, teams can identify weak spots, prioritize risky areas, and continuously improve test effectiveness&mdash;leading to more reliable software over time.