test-driven-development

To enforce a test-first workflow, write a failing test for the new behavior, run the test suite to confirm it fails, and then implement the code to satisfy the test. This ensures new features are validated by tests before implementation.

Yes, test-driven development applies across software projects including frontend, backend, and libraries. It provides a reproducible workflow for bug fixes, feature additions, and refactors regardless of the codebase type.

The red-green-refactor pattern in software testing requires writing a failing test first, implementing code to make it pass, and then refactoring. This codifies testing discipline to reduce ambiguity and improve maintainability.

To validate bug reports using test-driven development, write a failing test that reproduces the reported bug, run the test suite to confirm the failure, and then implement the code fix to satisfy the test.

Your development process needs tests before implementing code to prevent drifting into features without a solid test baseline. This avoids regressions and ensures clear behavior validation across the project.

Yes, test-driven development is suitable for guiding refactors by providing a concrete test baseline. You ensure existing tests pass before and after restructuring code to maintain behavior without regressions.