Agent
Analyzes code churn patterns to identify unstable areas that predict defects.
Code intelligence for AI agents. Complexity, hotspots, and tech debt analysis over MCP.
Agent
Analyzes code churn patterns to identify unstable areas that predict defects.
Agent
Analyzes per-component health trends (complexity, duplication, coupling, etc.).
Agent
Analyzes code clones to identify duplication that causes maintenance burden and bugs.
Agent
Analyzes feature flags to identify stale flags and cleanup opportunities.
Agent
Analyzes the dependency graph to identify structural risks like high fan-out, central nodes, and import cycles.
Agent
Analyzes hotspot data to identify high-risk files where complexity meets frequent changes.
Agent
Analyzes code ownership patterns to identify bus factor risks and knowledge silos.
Agent
Analyzes self-admitted technical debt markers (TODO, FIXME, HACK) to prioritize cleanup.
Agent
Analyzes architectural smells to identify structural issues like cyclic dependencies, hub modules, and instability.
Agent
Analyzes incomplete code (stubs) to surface half-finished work - not-implemented markers, placeholder comments, and empty function bodies.
Agent
Synthesizes all analysis insights into executive summary and prioritized recommendations.
Agent
Analyzes Technical Debt Gradient scores to identify files with compounding debt across multiple dimensions.
Agent
Analyzes temporal coupling to identify files with hidden dependencies that change together.
Agent
Analyzes health score trends over time to identify trajectory and inflection points.