ln-511-code-quality-checker

Automate code review by validating implementations against DRY, KISS, and YAGNI principles alongside architectural decisions. This process identifies violations and reports issues categorized by security, performance, maintainability, and architecture.

A quantitative code quality score numerically evaluates code health by analyzing static code metrics and identified issues. It assesses security, performance, maintainability, and architectural compliance to produce a measurable rating.

Check recent commits by running an automated quality analysis on the implementation tasks. This validates the code against DRY, KISS, and YAGNI principles, flagging issues with specific prefixes like MNT- and ARCH-.

Yes, automated static code analysis detects security and performance issues by scanning the codebase. It reports these findings using specific prefixes such as SEC- for security vulnerabilities and PERF- for performance bottlenecks.

Run an automated code quality check after a developer completes an implementation task and before merging. This early assessment flags architectural and maintainability issues, improving codebase robustness prior to integration.

Automated code quality assessment metrics require MCP Ref validation and static analysis to function, limiting their scope to detectable architectural and structural violations rather than complex business logic flaws.