rulecheck

Code rule violation detection and fixing is automated by scanning your codebase for compliance, applying high-impact corrections in an isolated git worktree, and submitting a pull request. The process requires git, jq, validation tools, and a language model for meta-evaluation.

An autonomous code compliance scanner automatically identifies rule violations across codebases and enforces best practices. It operates by detecting deviations from defined standards, applying fixes, running full validation, and generating pull requests to incorporate the corrected code.

Yes, you need both jq and git installed to run automated code review and validation. The tool requires integration with git for worktree isolation and pull request management, and jq for processing validation tool outputs during the meta-evaluation phase.

Yes, you can focus an automated PR lint scan on a specific area by invoking the tool with an optional focus area parameter. This starts the autonomous scan and fix process targeting the specified section of your repository for code quality enforcement.

Ensuring code quality without manual review is best achieved through autonomous detection and correction of rule violations. This approach scans for adherence to guidelines, applies fixes in isolated environments, runs full validation, and automatically generates pull requests for compliance.

You should not use an autonomous code fixer when your project lacks defined coding standards or validation tools, as the scanner requires existing guidelines to detect violations and a language model for meta-evaluation to manage corrections properly.