tdd

Automate test-driven development cycles by enforcing a test-first workflow that writes failing tests, implements minimal code to pass, and refactors safely to prevent regressions. This ensures correctness through iterative red-green-refactor feedback.

The red-green-refactor workflow in test-first development means writing a failing test, implementing minimal code to pass it, then refactoring while preserving behavior. This cycle prevents regressions and reduces overengineering during feature implementation.

Yes, test-driven development supports state transitions, business rules, and complex data transformations across multiple languages. It applies automated test scaffolding to ensure high confidence during feature development, debugging, and code reviews.

Start a TDD cycle by writing a failing test for the next feature before any implementation. Run the test to observe the failure, then implement only enough minimal code to pass the test, and finally refactor while maintaining behavior and coverage.

The best way to prevent regressions while refactoring complex logic is using test-driven development to maintain behavior and coverage. Safe refactoring is enforced by running automated tests iteratively throughout the red-green-refactor cycle.

A test-first approach is not suited for trivial logic lacking non-trivial business rules or state transitions. Test-driven development provides the most value during feature development, debugging, and code reviews requiring automated test scaffolding and iterative feedback.