test-driven-development

The Red-Green-Refactor cycle in test-driven development involves writing a failing test, implementing minimal code to pass it, and then refactoring. This methodology ensures code quality and prevents regressions by enforcing tests before implementation.

To fix bugs using test-driven development, you must first write a failing test that reproduces the specific bug. Following the strict principle of no production code without a failing test, you then write code to make the test pass, preventing future regressions.

Common testing anti-patterns in TDD include testing mock behavior instead of actual outcomes and adding test-only methods to production code. Identifying these pitfalls ensures your tests validate real behavior and maintain software reliability without artificial testing constructs.

You should use test-driven development when starting any new feature to ensure you define expected behavior upfront. By writing a failing test first, you write just enough code to pass, leading to more reliable, maintainable software and preventing regressions.

Test-driven development requires a failing test before writing production code to guarantee the test actually validates the new behavior. This strict framework prevents false positives, ensures code quality, and confirms that implementation code addresses the precise requirements.

When refactoring in test-driven development, limitations arise if existing tests cover mock behavior rather than real outcomes. While refactoring improves code structure, relying on flawed tests can introduce regressions, making it crucial to avoid testing anti-patterns beforehand.