linting-codebase

Parallel lint fixing analyzes all lint issues in your codebase, groups them into independent streams, and dispatches AI agents to fix each stream simultaneously. This approach iterates until all lint checks pass, handling multi-file repositories efficiently without manual intervention.

Yes. Automated lint fixing runs lint checks, identifies issues, and applies direct source edits through parallel agent dispatch. The system verifies fixes by re-running lint checks iteratively until your codebase passes all static-analysis rules.

Parallel processing groups lint violations into independent streams and assigns one agent per stream for concurrent fixes. This method minimizes edit overhead, scales across large repositories, and completes iteratively through verification cycles.

Yes. The Skill handles multi-file repositories with lint errors distributed across components. It groups issues into independent streams so components can be fixed in parallel without blocking each other.

Iterations depend on issue density and independence. The system re-runs lint after each parallel fix cycle and continues until no issues remain, ensuring comprehensive coverage without manual re-checking.