tdd-workflow

Enforce a test-driven development workflow by following a strict red-green-refactor cycle: plan test cases, write failing tests, implement minimum code to pass, and refactor while tests stay green. This reduces defects and increases delivery confidence.

Start writing tests with pytest by first mapping features to test cases including edge and error scenarios. Write a failing test to prove missing implementation, then add the simplest code to pass and iterate toward a green state.

The best way to plan test cases for test-driven development is mapping features to happy paths, edge cases, and error scenarios. This structured protocol ensures tests guide design, documentation, and quality gates before implementation begins.

Test-driven development works for refactoring existing codebases by maintaining green tests while you refine design and improve maintainability. It provides deterministic quality gates that guard against flaky tests during structural improvements.

Verify test coverage across your codebase by checking and improving coverage metrics after implementing minimum code. The workflow ensures tests remain green during refactoring, using coverage verification as a final quality gate.

You need a test framework like pytest to apply this test-driven development cycle. The workflow requires a framework to execute tests, prove red states, validate green implementations, and verify coverage across feature enhancements and API changes.