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Code coverage measures the percentage of your code that is executed by automated tests, helping teams identify untested areas that might harbor bugs or vulnerabilities. High code coverage does not guarantee perfect software, but it significantly reduces the risk of undetected defects and improves overall reliability.

Using code coverage metrics, developers can pinpoint functions or modules that lack tests, prioritize creating additional test cases, and ensure critical paths are thoroughly validated. Modern approaches often combine code coverage analysis with automated test generation, which can help accelerate testing cycles without sacrificing quality.

Platforms like Keploy can further enhance this process by automatically capturing real user interactions to generate meaningful test cases, which in turn improves code coverage naturally and efficiently. Integrating code coverage tracking into CI/CD pipelines allows teams to maintain high-quality software as the codebase grows, ensuring long-term maintainability and stability.