Code coverage is valuable, but it only tells you what has been tested, not how well. A project can achieve 90% coverage with tests that simply call functions without validating outputs. On the other hand, a manual code review brings in human judgment—developers catch logic flaws, architectural issues, and potential edge cases that coverage metrics alone cannot highlight.
That said, coverage is still an important safety net. With the right tools and even automated test equipment, developers can ensure a consistent baseline of coverage, making sure no part of the codebase is completely ignored. This helps reviewers focus their energy on higher-level reasoning rather than spotting missing tests.
Platforms like Keploy push this idea further by generating meaningful test cases from real API traffic. This not only improves coverage but also ensures the tests mirror real-world scenarios, something raw metrics cannot guarantee.
In essence, Code Coverage should be seen as complementary to manual reviews. It gives teams visibility into what’s being exercised, while human reviewers ensure that the right things are being tested and implemented correctly. Together, they create a stronger, more reliable development workflow.
That said, coverage is still an important safety net. With the right tools and even automated test equipment, developers can ensure a consistent baseline of coverage, making sure no part of the codebase is completely ignored. This helps reviewers focus their energy on higher-level reasoning rather than spotting missing tests.
Platforms like Keploy push this idea further by generating meaningful test cases from real API traffic. This not only improves coverage but also ensures the tests mirror real-world scenarios, something raw metrics cannot guarantee.
In essence, Code Coverage should be seen as complementary to manual reviews. It gives teams visibility into what’s being exercised, while human reviewers ensure that the right things are being tested and implemented correctly. Together, they create a stronger, more reliable development workflow.