Code coverage is a great metric to identify which parts of your code are being exercised during tests, but it shouldn’t be the only measure of test quality. It’s possible to have 90% coverage and still miss critical defects if your tests don’t simulate real-world usage patterns.
For example, you might have unit tests covering all functions, but without integration or end-to-end scenarios, you could miss how modules behave together in production-like conditions. That’s where combining coverage with real data-driven tests becomes powerful.
Keploy’s approach supports this balance by capturing real API interactions from staging or production environments and converting them into test cases. This way, your code coverage includes not only code paths but also the exact workflows your users experience.
The goal isn’t just to increase coverage, but to ensure that the coverage you have truly reflects how your application will perform in real use cases.
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