How do you implement agentic AI for automated code complexity analysis?
Code complexity analysis agents evaluate codebase quality using multiple complexity metrics and provide actionable improvement recommendations. Configure agents with access to source code repositories and static analysis tools. Implement analysis for cyclomatic complexity, cognitive complexity, coupling metrics, cohesion analysis, and code duplication detection. The agent identifies high-risk code areas that combine high complexity with low test coverage. Generate refactoring recommendations with specific improvement strategies for each identified area. Prioritize recommendations by risk and impact. Track complexity trends across releases to detect deterioration. Support team-level dashboards that show quality metrics per codebase area and identify patterns requiring architectural attention.