Codebase Cleanup Tech Debt

This walks you through a structured technical debt audit, from scanning for code duplication and complexity hotspots to calculating the actual dollar cost of that untested payment flow or those five copies of validation logic scattered across your codebase. It gives you a prioritization framework based on ROI (quick wins like extracting shared modules versus long-term refactors like DDD adoption), specific remediation patterns including incremental migration strategies with feature flags, and prevention gates you can wire into CI. The metrics dashboard format is helpful for making the business case. Best for teams that know they have debt problems but need a systematic way to quantify impact and build a credible remediation roadmap instead of just complaining about legacy code.