Quantify technical debt across your codebase with severity scoring
Every engineering team acknowledges their technical debt. Very few can quantify it. Ask a lead engineer how much debt the codebase carries, and you get an answer like "a lot" or "that module is pretty bad." Ask a product manager to prioritize debt reduction against a feature request with a revenue estimate attached, and the feature wins every time. Debt loses because it does not have numbers. The Technical Debt Tracker gives it numbers.
How the Technical Debt Tracker works
The agent performs continuous static analysis across your repositories, identifying and categorizing debt indicators. Code complexity metrics (cyclomatic complexity, nesting depth, function length) quantify structural debt. Duplication detection quantifies copy paste debt. Dependency analysis quantifies coupling debt and outdated library risk. TODO and FIXME comment scanning quantifies acknowledged but unaddressed debt.
Each identified debt item receives a severity score based on its impact (how much it slows development, increases bug risk, or blocks architectural goals) and a remediation estimate (how much effort it would take to resolve). These scores aggregate into a portfolio level debt score tracked over time, giving engineering leadership a trend line: is debt growing, stable, or shrinking?
The tracker also produces a prioritized remediation backlog. Items are ranked not just by severity but by payoff ratio: the relationship between remediation cost and the development velocity improvement that elimination would produce.
Why you need the Technical Debt Tracker
Transforms decision making for:
- Organizations where engineering leadership reports to non technical executives and needs quantified arguments for allocating sprint capacity to debt reduction
- Teams with 10 or more engineers where debt accumulation outpaces any single developer's ability to track it mentally
- Companies preparing for technical milestones (SOC 2 certification, acquisition due diligence, platform migration) where debt quantification is a prerequisite
Less impactful for:
- Small teams (3 or fewer developers) where everyone knows where the debt lives and informal communication suffices
- Projects in early rapid prototyping phases where accumulated debt is intentional and expected to be addressed during a planned stabilization phase
How the Technical Debt Tracker compares
The Technical Debt Tracker identifies, measures, and prioritizes debt. The Code Refactoring Assistant and automated refactoring agents actually reduce it by generating cleaner code. The tracker is the diagnostic tool: it tells you where the problems are, how severe they are, and which ones to fix first. The refactoring tools are the treatment: they execute the fixes. Running the tracker without refactoring tools means you know about debt but cannot address it efficiently. Running refactoring tools without the tracker means you might fix the wrong things first.
