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1. Is 100% Code Coverage a Myth or a Meaningful Goal in Modern Testing?

   Every engineering team has heard the mantra — “Aim for 100% code coverage.” On paper, it sounds like the ultimate quality benchmark. But in reality, chasing that perfect number can often lead to wasted effort, brittle tests, and a false sense of security.

   High coverage doesn’t always mean high-quality testing. A suite might execute every line of code yet miss validating how that code behaves in real-world scenarios. The real challenge lies in striking a balance — achieving enough coverage to reduce risk without spending time on tests that add little value.

   Instead of fixating on the percentage, modern teams are using coverage as one piece of a broader quality puzzle — combining it with risk-based testing, defect density, and runtime analytics. Tools like Keploy enhance this approach by automatically generating meaningful, production-grade test cases that improve coverage naturally without overengineering test suites.

   In the end, 100% coverage might not be the goal — meaningful coverage is. It’s about ensuring your tests mirror real user behavior and critical system paths, not just inflate a metric.

   Learn more about code coverage here:
   https://keploy.io/blog/community/understanding-code-coverage-in-software-testing

   Every engineering team has heard the mantra — “Aim for 100% code coverage.” On paper, it sounds like the ultimate quality benchmark. But in reality, chasing that perfect number can often lead to wasted effort, brittle tests, and a false sense of security.

   High coverage doesn’t always mean high-quality testing. A suite might execute every line of code yet miss validating how that code behaves in real-world scenarios. The real challenge lies in striking a balance — achieving enough coverage to reduce risk without spending time on tests that add little value.

   Instead of fixating on the percentage, modern teams… more

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