Test Driven Development

The Red-Green-Refactor cycle in test driven development involves writing a failing test, creating minimal code to pass it, and then cleaning up the implementation. This iterative process enforces code correctness and maintainability from the start.

To fix bugs using test driven development, you first write a failing test that captures the specific bug or regression, then implement the minimal business logic required to make that test pass, ensuring the error is permanently resolved.

Yes, test driven development is applicable for writing new API endpoints and utility functions. You write tests for expected success and error responses first, then implement the endpoint logic to satisfy those test specifications.

The best way to ensure code correctness for new business logic is using test driven development. By enforcing a disciplined development process where tests guide implementation, you prevent bugs before they are introduced into the codebase.

No specific testing frameworks are required to start writing tests before code. The methodology focuses on the strict testing protocol and iterative code refinement itself, allowing you to apply it across various development environments without hardcoded dependencies.

You should avoid using a strict testing protocol like test driven development when rapid prototyping requires immediate functional output without initial test constraints, as this methodology demands writing failing tests before any implementation logic.