In modern software development, achieving high code coverage isn’t just about quality metrics—it’s a key enabler for CI/CD and continuous testing. When integrated into pipelines, coverage ensures that new code is validated automatically, reducing the risk of regressions and maintaining system stability with every deployment.

Automated coverage checks allow teams to:

Catch regressions early – Any code changes that aren’t sufficiently tested are flagged before merging.

Maintain release confidence – High coverage helps developers and QA teams trust that critical paths are exercised in every build.

Optimize testing effort – CI/CD pipelines can prioritize tests based on coverage gaps, reducing redundant runs and speeding up feedback.

Platforms like Keploy can assist by automatically generating tests from real traffic and code usage, ensuring that code coverage reflects meaningful, real-world scenarios. This approach bridges the gap between high code coverage metrics and practical test effectiveness, making continuous testing more reliable and less manual-intensive.

By aligning code coverage with CI/CD practices, teams can deliver faster, safer, and more predictable software releases.