The 15-week technical battle of LogiFlow — a company waking up from the illusion created by artificial intelligence and returning to real engineering.
How would Kerem (CTO) explain the technical debt AI created to the Board? Saying "the code is ugly" doesn't work in the business world. Engineering decisions must be made with measurable metrics, not emotions.
Kerem stood in front of the Board again. This time, instead of a $114,500 invoice, he had a dashboard. Instead of excuses, he had numbers. Defne had taught him the language the Board actually spoke: data.
Using SonarQube and CodeClimate, they proved that the "reading and modification cost" of AI code was 4x higher than human code.
| Metric | AI Code | Human Code |
|---|---|---|
| Cognitive Complexity |
847 (Very High) |
142 (Healthy) |
| Mean Time to Change | 14 days | 3 days | | Change Failure Rate | 38% | 8% | | Mean Time to Recovery | 4 hours | 45 minutes |
The numbers told a story no narrative could: AI code was fast to write and slow to maintain. Every change to AI code had a 38% chance of breaking something else. When it broke, it took 4 hours to fix instead of 45 minutes.
DORA Metrics — Deployment Frequency, Lead Time for Changes, Change Failure Rate, Mean Time to Recovery — are the four golden metrics that measure software delivery speed and quality. They cut through hype with cold data.
| DORA Metric | What It Measures | LogiFlow Before | LogiFlow After |
|---|---|---|---|
| Deployment Frequency | How often you ship | Weekly | Daily |
| Lead Time for Changes | Idea to production | 14 days | 3 days |
| Change Failure Rate | % of deploys causing failure | 38% | 8% |
| Mean Time to Recovery | Time to fix a failure | 4 hours | 45 min |
"Technical debt is like financial debt," Defne had told Kerem. "You can ignore it. But the interest compounds. And eventually, the interest payments exceed your revenue."
1. Cognitive Complexity: The difficulty of reading code can be measured with concrete metrics.
2. DORA Metrics: Four golden metrics that measure software delivery speed and quality.
3. Technical Debt Interest: Debt accumulates, and its interest grows exponentially.
This is Episode 14 of the "Back to Code" series. Next up: Episode 15 — The New Manifesto: Master and Apprentice.
Series: back.to.code · 2026