In API-driven development, maintaining high code coverage is often challenging, especially when services evolve rapidly. Writing additional manual test cases to increase coverage can be time-consuming and may slow down delivery.

A more efficient approach is to capture real user traffic and convert it into automated tests. This ensures that the most frequently used endpoints, request variations, and edge cases are covered—without the need to guess which scenarios matter. The result is coverage that reflects real-world usage, not just hypothetical scenarios.

Keploy enables this by recording actual API calls in staging or production and generating test cases and data mocks automatically. This not only improves code coverage but also ensures that the tests are meaningful, easy to maintain, and resistant to regressions.