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🧪 Mutation Testing in Spring Boot using PITest framework One practice I picked up from industry teams building high-reliability Spring Boot systems is this: Code coverage alone is not enough — tests must be able to fail for the right reasons. That’s where Mutation Testing fits in. I recently put together a step-by-step technical guide on using PITest (PIT) with Spring Boot, based on how mutation testing is applied in real-world projects — incrementally, selectively, and with purpose. 🔍 What the guide covers (summary) What mutation testing really validates (beyond line coverage) How PITest introduces controlled code changes to expose weak JUnit tests Why PITest is preferred in larger Java / Spring Boot codebases Gradle-based setup with scoped execution How to read mutation results: KILLED, SURVIVED, NO_COVERAGE Practical guidance on using mutation testing in CI/CD without slowing pipelines 💡 A key insight Mutation testing works best when treated as a quality signal, not a hard gate — starting with critical business logic and gradually raising the bar. 📘 If you work with Spring Boot, Java, JUnit, or CI pipelines, this deep dive may help you strengthen test effectiveness, not just test quantity. 👉 Full technical walkthrough: / mutation-testing-in-spring-boot-using-pite... Happy Learning! 😎