bugstack

Self-healing code

34 followers

Self-healing code

34 followers

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.

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Launch tags:Developer Tools•Artificial Intelligence•GitHub

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LightfieldAI-native CRM that builds itself and does work for you

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bugstack

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Hey Product Hunt! I'm Mason, solo founder of bugstack. I built bugstack as an internal tool for my other startup, FuelScout. I'm a solo founder, and my users were hitting production errors while I was away, by the time I saw them, the damage was done. The fix was usually 2 lines of code. I thought: if I can look at a stack trace, pull the relevant files, and write a fix, an AI agent should be able to do the same thing. So I automated the whole pipeline. bugstack captures errors from your app, fetches the right files from GitHub (not your whole codebase, just the erroring file, imports, types, and tests), generates a minimal fix, runs it through your CI, and auto-deploys if it passes. The full pipeline runs in under 2 minutes. What makes it different: → Fully autonomous — error to deployed fix, zero intervention → Confidence-gated — only auto-merges high-confidence, CI-passing fixes → Code style aware — fixes match your exact conventions → Open-source SDKs with one-click auto-install I've tested it end-to-end across JavaScript, Python, Ruby, and Go with a strong fix rate. Try it free for 14 days at bugstack.ai — I'd love your feedback!

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6mo ago

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6mo ago

I built an autonomous error-fixing agent as a solo founder — launching tomorrow

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?

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