Finally measure technical debt, not just complain about it.
Ask questions about code complexity, outdated dependencies, test coverage gaps, and architecture concerns. Get specific file locations and prioritized recommendations.
- Identify debt hotspots with exact file paths
- Track debt trends over time
- Justify refactoring work to stakeholders with data
Teams spend 23% of development time on technical debt. Know where that time is going.
1.
app/services/billing.rb - 847 lines, 0% tests, 12 TODOs2.
lib/legacy_import.rb - 623 lines, cyclomatic complexity 453.
app/models/user.rb - 412 lines, 23 methods (God object)4.
app/controllers/api_controller.rb - mixed concerns5.
lib/utils/helpers.rb - catch-all utility classComprehensive technical debt analysis.
Code Complexity
MaintainabilityCyclomatic complexity, method length, class size, nesting depth. Find the files that are hardest to maintain.
Test Coverage
QualityCoverage gaps, untested critical paths, missing integration tests. Know which changes are risky.
Dependencies
SecurityOutdated packages, security vulnerabilities, deprecated APIs. Track your dependency health.
Make technical debt visible to the whole organization.
Show stakeholders exactly where debt is costing velocity. Back up "we need to refactor" with specific data.
Not all debt is equal. Focus on high-change, high-complexity areas that actually slow you down.
Ask the same questions monthly. See if debt is increasing or if your refactoring efforts are paying off.
Stop guessing where your technical debt lives.
Get a clear picture of your codebase health.