I'm Mason, and I built BugStack as an internal tool for my other startup, FuelScout. I was a solo founder running a product with real users, and production errors kept hitting while I was away. By the time I caught them, users had already churned.
The fix was almost always a few lines of code. So I asked myself, if I can read a stack trace, pull the relevant files, and write a fix, why can't an AI agent do the same thing end to end?
BugStack captures production errors, pulls context from your GitHub repo, generates minimal AI fixes, and deploys them autonomously.
When an error hits, BugStack fetches the stack trace, imports, types, and tests. It generates a surgical fix, validates syntax, runs your CI pipeline, and either auto-merges or opens a PR for review.
Open-source SDKs for JavaScript, Python, Ruby, and Go. One-click install via auto-generated PR. Set confidence thresholds per project. 14-day free trial.
