ln-511-code-quality-checker

Automated code review for architectural compliance applies quantitative metrics and predefined rules to validate code against DRY, KISS, and YAGNI principles. It checks architectural layer integrity and reports deviations using standardized prefixes and severity levels.

Code quality is measured quantitatively by calculating a Code Quality Score based on metrics like cyclomatic complexity, function size, and nesting depth. This score combines static code analysis and architectural validation to produce a comprehensive assessment.

The best way to check for DRY, KISS, and YAGNI violations is to run an automated architectural validation process that applies predefined rules to the codebase. It identifies principle deviations and reports them with standardized prefixes like ARCH- and BP-.

Yes, static code analysis identifies security and performance issues automatically by scanning the code against predefined rules. It flags vulnerabilities and inefficiencies using standardized prefixes like SEC- and PERF- with corresponding severity levels.

Code quality scoring validates architectural layer integrity by checking code dependencies and structures against defined architectural patterns. It ensures compliance with established layers and reports any structural violations with the ARCH- prefix.

Code review flags maintainability issues after task completion because automated analysis detects deviations from best practices using metrics like complexity and function size. It reports these issues with the MNT- prefix and severity levels to ensure standards adherence.