code-quality

To run code quality checks across a Python project directory, execute a standard toolchain including ruff check, ruff format, pyright, and pytest to identify linting, formatting, typing, and testing issues. The tool summarizes results by severity for focused remediation.

The best way to audit code quality before merging a PR is to run a standard toolchain of ruff and pyright checks alongside pytest on the target codebase. This surfaces issues categorized by critical, major, and minor severity to ensure reliability before integration.

Yes, you can use ruff and pyright together for static analysis and linting. Running ruff for linting and formatting alongside pyright for type checking provides comprehensive coverage, categorizing findings by severity to guide remediation across multiple modules.

To categorize static analysis findings by severity for remediation, run a quality audit toolchain that aggregates results from ruff, pyright, and pytest. It automatically groups issues into critical, major, and minor severity levels to enable focused fixes.

Yes, the code quality audit supports type checking and test execution with pytest. It executes pyright for type checking and pytest for test coverage across a target directory, summarizing the results by severity to identify issues affecting code reliability.