marsai:linting-codebase

You can automate lint fixes across a codebase by grouping issues into independent streams and dispatching AI agents to fix them concurrently. The Skill orchestrates parallel work to reduce remediation time while avoiding conflicts.

The best way to fix lint errors in parallel is by grouping issues based on file or module boundaries. This creates independent streams that AI agents can work on concurrently without conflicting with each other.

Parallel static analysis handles iterative lint checks by applying direct, minimal edits and validating them with subsequent lint runs. It iterates until checks pass, providing a verifiable, clean state ready for review.

Yes, you can use parallel lint fixes for multi-file projects where lint errors span modules. The Skill specifically applies to large codebases that require safe, parallel work to avoid conflicts across module boundaries.

You can start an automated lint workflow by invoking the lint command to start parallel streams and fix eligible issues. The Skill orchestrates the dispatch of AI agents to handle the codebase fixes automatically.

Automating lint fixes with AI agents works within a defined maximum of iterative checks. Edits are direct and minimal, meaning the automation focuses on safe remediation rather than complex refactoring or architectural changes.