How Code Coverage Guides Smarter Testing Strategies?

Code coverage is often seen simply as a metric — the percentage of code executed during tests. But when used effectively, it can guide smarter testing strategies rather than just inflating numbers. Coverage reports help teams identify untested or under-tested areas, enabling them to focus on high-risk, critical parts of the codebase.

Beyond quantity, the quality of tests matters most. Coverage should reflect meaningful validation of business logic, edge cases, and complex workflows. Tools like Keploy enhance this process by generating test cases from real API traffic, ensuring that coverage aligns with actual application usage.

By leveraging code coverage strategically, teams can optimize test efforts, improve reliability, and make informed decisions about where automation or manual testing is most needed — ultimately delivering higher-quality software faster.