test-driven-development

Test-driven development for a new feature follows the red-green-refactor cycle: writing a failing test, implementing minimal code to pass it, and refactoring. This enforces code reliability and prevents regressions before production code is written.

Common testing anti-patterns during refactoring include mocking behavior instead of real logic and polluting production code with test-only methods. Avoiding these mistakes ensures unit testing accurately verifies software behavior without degrading codebase quality.

You need unit testing for bug fixes to prevent regressions and verify the correction. Applying a test-driven development workflow captures the bug in a failing test first, guaranteeing the subsequent code fix resolves the exact failure.

Test-driven development works for complex logic like API retry mechanisms by guiding you to write the failure test case first. This ensures the retry logic is robustly validated against edge cases before any production implementation begins.

The best way to prevent code regressions is enforcing a strict red-green-refactor cycle for all software engineering tasks. This test-driven approach eliminates manual testing uncertainty by verifying every feature and bugfix through automated unit testing.

Mocking behavior instead of real logic causes testing issues by validating interactions rather than actual outcomes. This anti-pattern defeats the purpose of unit testing and fails to prevent regressions in software engineering tasks.