test-driven-development

Test-driven development prevents regressions by enforcing a test-first workflow where you write failing tests before production code. This approach improves software design and ensures features and bug fixes remain reliable across Python projects.

To start test-first development with pytest, write a failing test for your feature, run the tests to see the failure, then implement only enough production code to pass and keep iterating through the cycle.

Yes, the test-driven development approach applies to new features, bug fixes, and refactors across Python projects. It enforces the red-green-refactor cycle to prevent regressions and maintain reliable code.

Test-driven development targets Python projects using pytest with clear test naming conventions and structured test directories. This ensures tests document intended behavior and remain maintainable throughout the workflow.

The best way to prevent regression is enforcing a test-first discipline where you write a failing test first, implement minimal production code to pass it, and refactor safely across your Python project features.

The test-first workflow is designed for Python projects using pytest with structured test directories. If your project lacks clear test naming conventions or doesn't require preventing regressions, this approach may not be necessary.