Analyze a codebase for dead code — functions, classes, and modules that are defined but never referenced. Returns findings with file paths, line numbers, severity, and fix suggestions.

Detect circular dependencies between modules using DFS-based cycle detection. Returns cycles with involved files and impact assessment.

Analyze coupling metrics across the codebase. Identifies modules with high fan-out (too many dependencies) and tightly coupled clusters.

Detect architectural drift — violations of intended layer boundaries (e.g., UI importing from data layer, reverse dependencies).

Run a complete codebase health scan: dead code, circular dependencies, coupling metrics, and architectural drift. Returns an overall health score (0-100) and prioritized findings.

Get a detailed explanation of a specific code health finding, including why it matters, potential risks, and detailed remediation steps.