I started DebtDrone as a CLI tool to measure code complexity. It was fast and effective, but I quickly realized a critical limitation: a CLI only gives you a snapshot. It tells you your code is complex today, but it doesn't tell you if you're burning cash on maintenance or if your refactoring sprints are actually paying off.
To solve this, I’ve been architecting DebtDrone SaaS—transforming a local analyzer into a cloud platform that tracks the lifecycle of technical debt.
I just published a deep dive into the engineering journey behind this pivot, covering:
The Backend: Building a concurrent, high-performance analysis engine in Go.
The Strategy: Moving from "Linting" to "Risk Management" for CTOs.
The Future: Integrating Generative AI to not just find spaghetti code, but fix it.
If you are an engineer interested in AST-based analysis or a founder worried about system stability, this is for you.