python-tdd-with-uv

Set up a Python TDD project with uv by initializing the environment, adding pytest as a development dependency, and writing one failing test at a time to establish a red-green-refactor workflow.

The red-green-refactor workflow in Python testing requires writing one failing test first, implementing the minimum code to pass it, and then refactoring while keeping behavior observable and incremental.

Yes, you can use pytest with uv for test-driven development by adding pytest as a development dependency and running uv-managed commands to execute tests that assert outcomes rather than implementation details.

Test-driven development works for refactoring Python code by keeping behavior observable and incremental, ensuring tests guide every change and assert outcomes rather than implementation details throughout the process.

The best way to fix bugs using TDD in Python is to write a failing test that reproduces the bug, implement the fix to turn it green, and refactor with uv-managed commands to maintain short feedback loops.

Asserting outcomes rather than implementation details in pytest keeps your tests resilient during refactoring, ensuring behavior stays observable and incremental without breaking tests when internal code structure changes.