plankton-code-quality

Automated code formatting and linting runs tools like ruff and biome during file edits to enforce consistent style and catch errors. This process integrates directly into the development workflow to check Python, TypeScript, Shell, and YAML files automatically.

AI fixes supplement standard linters by using Claude's capabilities to automatically resolve complex code quality issues that formatters miss. This mechanism addresses nuanced problems across Python, TypeScript, and Shell scripts during edits.

Automated code quality workflow supports Dockerfile and TOML formatting using hadolint and taplo. It fits diverse development workflows by checking YAML, JSON, and Markdown files alongside Python and TypeScript code.

Integrating shell script linting into a development workflow is best achieved by running shellcheck and shfmt automatically on file edits. This approach ensures shell scripts are consistently formatted and free of errors without manual review.

You need dependencies like uv and jaq installed to run automated code quality checks for specific formats. These tools provide the underlying environment and parsing capabilities required for formatting and linting operations across the supported languages.

AI-powered fixes handle complex code quality issues that traditional linters cannot automatically resolve. Unlike standard linters that only flag errors, AI analyzes context to generate fixes during file edits, reducing manual code review effort across languages.