tech-debt-inventory

You can quantify technical debt by cataloging it across five dimensions: complexity, dead code, dependencies, inconsistencies, and test gaps. This approach uses parallel specialists to analyze your code and generate measurable effort estimates for each identified issue.

Identifying dead code involves detecting unused exports and orphaned files within your modules. This process prunes unnecessary segments of the codebase, reducing overall complexity and improving long-term maintainability during refactoring sprints.

Yes, you can assess dependency risk by evaluating dependencies for their currency, security coverage, and overall health. This audits your project's external libraries to identify outdated or vulnerable packages requiring immediate updates.

The best way to plan a debt sprint is to synthesize complexity, dead code, dependency, inconsistency, and test gap findings into a single roadmap. This provides prioritized, actionable steps with estimated effort to guide strategic remediation.

You detect missing tests by analyzing coverage gaps specifically on critical execution paths. This highlights untested vulnerable areas in your application logic, ensuring quality assurance efforts target the most essential functions.