Technical Debt Quantification: Turning Engineering Pain Into Dollar Signs
Concrete frameworks for translating technical debt into financial metrics that make CFOs approve remediation budgets instead of asking 'can it wait another quarter?'
13 min
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Engineering Intelligence
Metrics that actually predict engineering health, beyond story points and PR counts. Quantifying technical debt, measuring quality, and making the business case for engineering investment.
The Hidden Cost of AI-Generated Technical Debt: A 90-Day Spike Pattern
AI-generated code ships fast but compounds technical debt silently. Data from GitClear and real incident postmortems reveals the 90-day spike pattern and how to stop it.
12 min
Engineering Quality Beyond Test Coverage: Metrics That Actually Matter
Test coverage percentage is a poor predictor of production reliability. Here are the leading indicators—Change Failure Rate, Review Depth Score, and rework rate—that actually tell you whether your codebase is healthy.
14 min
Your AI Coding Tools Are Shipping Faster. Are They Shipping Better?
Engineering teams track PRs merged and lines written. Almost none track whether AI-generated code survives 90 days in production without incident. Here's what to measure instead.
14 min
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