How do you implement agentic AI for automated technical debt quantification?
Technical debt quantification agents analyze codebases to identify, categorize, and estimate the cost of technical debt. Configure agents with access to code repositories, static analysis tools, issue trackers, and development velocity metrics. Implement analysis for code smells, outdated dependencies, test coverage gaps, documentation deficiencies, and architectural violations. The agent calculates estimated effort to resolve each debt item based on code complexity and historical refactoring data. Prioritize debt items by interest rate considering how much each item slows future development. Generate technical debt dashboards with trend analysis. Track debt paydown progress and correlate with development velocity improvements. Support integration with sprint planning to allocate debt reduction capacity.