DebtDrone SaaS
A cloud platform that tracks technical debt lifecycle over time, integrates with GitHub, and uses AI to suggest production-ready refactors.
SaaS / Go / AI / GitHub / Cloud
From CLI to Platform
DebtDrone started as a local, zero-dependency CLI for measuring Cognitive Complexity via Tree-sitter ASTs. It answered "how much debt does this codebase have right now" — but engineering leaders also need to know whether that debt is going up or down, and which pull requests are making it worse.
DebtDrone SaaS extends the same analysis engine into a hosted platform that tracks debt trends over time instead of a single point-in-time scan.
What It Does
- Lifecycle tracking — every commit and pull request is scored, so teams can see whether complexity is trending up or down across a repository, not just in a single snapshot.
- GitHub integration — connects directly to a repo, scans on push, and surfaces complexity deltas in the context engineers already work in.
- AI-assisted refactors — for flagged hotspots, the platform proposes production-ready refactor suggestions grounded in the AST, rather than generic linting advice.
Why Build It
Running DebtDrone locally proved the analysis was accurate; the SaaS is about making that analysis persistent, shareable, and actionable at the team level — turning "code quality" from a one-off CLI report into an ongoing signal engineering leaders can manage against.