hlrp-code-quality

Automated code quality tools run a sequential workflow covering environment setup, ruff linting, black formatting, and pytest execution to enforce standards. They iteratively attempt to fix identified formatting and linting failures, rerunning checks until the codebase passes all validation steps.

Automated formatting and linting repair works by running ruff and black checks, then applying fixes to identified violations. The workflow iterates reruns each validation step until both linting and formatting standards pass without requiring manual code changes.

Yes, you can include test coverage validation when running pytest by enabling an optional documented coverage run within the workflow. This adds coverage reporting alongside standard test execution to verify the extent of your codebase validation.

The best way to fix ruff and black formatting errors is to use an automated repair workflow that runs checks and applies fixes iteratively. This ensures all linting and formatting violations are addressed and reruns validation until the project meets quality standards.

No specific external dependencies are required to start, as the workflow establishes a local Python runner to execute the QA sequence. It handles environment setup internally before proceeding with ruff, black, and pytest validation.