tdd-workflow

Test-Driven Development (TDD) follows the RED-GREEN-REFACTOR cycle: write a failing test, write code to pass it, then refactor. This structured testing methodology ensures cleaner, more robust software by defining behavior before implementation.

The AAA pattern structures tests into Arrange, Act, and Assert phases. This TDD practice organizes test setup, execution, and verification, ensuring your testing methodology remains consistent and your code quality stays high across development tasks.

The Three Laws of TDD mandate writing no production code without a failing test, writing only enough test code to fail, and writing only enough production code to pass. These principles enforce the RED-GREEN-REFACTOR discipline for robust software development.

Yes, AI-augmented TDD patterns integrate AI agents into the testing workflow. This approach assists developers during the RED-GREEN-REFACTOR cycle, accelerating test generation and refactoring while maintaining strict code quality and TDD principles.

Test-Driven Development is less suited for exploratory prototyping where requirements are highly volatile. Since TDD requires defining expected behavior upfront before writing code, undefined agile scenarios may disrupt the RED-GREEN-REFACTOR cycle and slow initial development.