test-driven-generation

Test-driven development starts by writing a failing unit test that defines the desired API, then writing minimal code to pass that test before refactoring. This ensures robust coverage and clear specifications from the very beginning of feature implementation.

The red-green-refactor cycle in TDD involves writing a failing test, implementing minimal code to make it pass, and then refactoring the code for quality. This methodology ensures software development strictly adheres to high confidence test coverage.

Yes, test-driven development supports scenarios with uncertain API design by using tests to define the interface. Writing tests first ensures the generated code is written to be used exactly as intended, driving the design through specifications.

The best way to ensure high confidence in unit testing coverage is adopting a TDD methodology. By writing failing tests before any implementation, you enforce strict adherence to specifications and guarantee code quality through the red-green-refactor cycle.

Test-driven generation focuses on guiding new software development through the red-green-refactor cycle. While refactoring is a core step after passing tests, the Skill primarily automates writing new code by defining APIs through initial failing tests.

You should not use test-driven development for code generation when lacking a clear specification or when rapid prototyping without strict coverage is required. TDD strictly enforces writing failing tests first, which may slow down exploratory software development.