ln-624-code-quality-auditor

Code quality audits detect cyclomatic complexity and deep nesting by scanning your codebase for control flow anomalies and nested blocks, generating structured findings with severity levels and precise file locations for targeted refactoring.

Common code smells include long methods, god classes, poor constants management, and O(n²) patterns. Automated static analysis identifies these defects by evaluating parameter quality, signature structure, and query patterns to produce a domain-aware quality score.

Yes, static code analysis can be integrated into CI pipelines or run as manual audits across supported languages. The audit worker produces a Markdown report with an overall score, wiring directly into existing coordination workflows for continuous code health monitoring.

Generate a code quality report by running an audit that evaluates complexity, nesting, and code smells. The output is a Markdown audit report containing structured findings with severity, location, effort estimates, recommendations, and a per-domain quality score.

The code quality auditor supports multiple programming languages through its static analysis engine. It applies consistent checks for complexity, nesting depth, and code smells across any language supported by the tool, delivering uniform structured findings.

The best way to find N+1 query risks and O(n²) patterns is through automated static analysis that evaluates data access patterns and algorithmic complexity. The auditor flags these performance defects with location, severity, and actionable recommendations.