implement-py

Automate Python code validation by integrating formatting, linting, type checking, and unit testing directly into your development workflow. This ensures code correctness and quality before commit.

The best way to refactor Python code safely is to define the minimal change set, update tests first, and run integrated validation tools like ruff and pyright. This ensures the refactoring maintains expected behavior.

Implement test-driven development by writing or updating a test for the bug first, then modifying the Python code to fix the issue. Run unit tests with pytest to verify the fix works without breaking existing functionality.

Yes, you can use ruff and pyright together to format, lint, and type check Python code simultaneously. Running both tools ensures adherence to quality standards and catches static errors before execution.

Plan minimal code changes by defining the expected behavior and identifying the smallest modification set required. This automated planning step streamlines the implementation process and reduces unnecessary code alterations.

Running pytest before committing Python code ensures that all unit tests pass and new changes do not break existing functionality. Integrated validation prevents behavioral regressions and maintains application stability.