tech-debt

Technical debt is identified and categorized by scanning your codebase to detect issues across code, architecture, testing, dependencies, documentation, and infrastructure. This process organizes the debt into clear types with specific examples for systematic tracking.

Prioritizing technical debt involves scoring each identified issue using a framework based on its impact, risk, and effort. This generates a prioritized list that helps teams decide which refactoring tasks to tackle first for maximum value.

A phased remediation plan is created by outlining structured steps to address technical debt alongside ongoing feature development. This ensures that code quality improvements are integrated systematically without halting development velocity.

Yes, this technical debt management approach works for infrastructure and dependencies by explicitly categorizing and scoring them. It evaluates dependency upgrades and infrastructure maintenance using the same impact, risk, and effort framework as code debt.

To improve development velocity, you should track code, architecture, test, dependency, documentation, and infrastructure debt. Managing these categories systematically prevents bottlenecks and maintains long-term code quality.