Harness Dependency Health

To assess codebase health before a refactor, you can analyze architectural dependencies using graph metrics to detect structural issues like deep-chains and cycles. This surfaces hidden risks, ensuring your refactoring efforts do not trigger unexpected incidents.

Dependency graph analysis evaluates codebase architecture by mapping structural connections to identify hub, cycle, orphan, and deep-chain issues. It uses graph-backed metrics to provide architectural awareness and quantify structural health risks within a software project.

Yes, you can run static analysis on your codebase when no dependency graph is available. The fallback analysis mechanism ensures continuous visibility into structural health issues by evaluating the code directly without requiring a pre-built graph.

You can identify architectural issues like circular dependencies by running a dependency health check that applies graph analysis to your codebase. It detects cycles, hubs, and orphans, providing actionable remediation guidance to improve cohesion and reduce risk.

Yes, codebase health analysis works for onboarding to a new software project by evaluating architecture quality and surfacing structural health risks. It helps new developers quickly understand existing dependencies, hubs, and deep-chains before contributing code.