Mutation testing is a powerful method for evaluating the effectiveness of test suites by introducing small changes, or mutations, into the code and verifying if the tests fail as expected. Unlike traditional code coverage metrics, which only measure which lines of code are executed, mutation testing ensures that tests are meaningful and detect errors effectively.

Mutation testing libraries introduces various types of mutations, such as altering logical operators or changing boundary conditions, and generates detailed reports on test performance.

Despite its advantages, mutation testing with Infection does come with challenges, such as increased test runtime and the complexity of interpreting mutation reports in large projects. However, these hurdles can be mitigated by optimizing configurations, selecting appropriate mutators, and integrating Infection into Continuous Integration pipelines for automated feedback. By adopting best practices and embracing mutation testing, developers can strengthen their test coverage, uncover hidden weaknesses, and ensure their applications are resilient to future changes.