sub-code-reviewer

Automate code review to detect SOLID violations and code smells by using a language-agnostic agent that analyzes multi-language codebases to identify God classes, Feature Envy, and Long Method patterns. It generates concrete refactoring diffs and quantifies technical debt metrics.

Refactoring legacy code with high cyclomatic and cognitive complexity is best handled by applying the Martin Fowler refactoring catalog. An automated agent analyzes complexity metrics, identifies SRP violations, and presents a prioritized, step-by-step refactoring plan with concrete diffs.

Automated code review works with multi-language codebases including Kotlin, Java, Python, and TypeScript. It performs language-agnostic analysis to detect code smells and SOLID principle violations across different languages within the same project pipeline.

Integrate code quality analysis into CI/CD pipelines as a review gate by running deterministic phase workflows that scan for complexity and structural violations. This automates multi-language codebase validation and provides debt metrics before deployment.

You need bash and jq installed to run automated refactoring analysis. These dependencies are required to execute the deterministic phase workflows and process the JSON data structures generated during the language-agnostic code review.

Limitations when generating refactoring diffs for large codebases include the need for staged execution to manage high-impact changes safely. The tool prioritizes areas with significant change influence and provides step-by-step plans rather than applying massive changes all at once.