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BugStack – Autonomous error fixing that ships to prod while you sleep

BugStack – Autonomous error fixing that ships to prod while you sleep

by Bugboy·Mar 12, 2026·2 points·0 comments

AI Analysis

●●SolidBold Bet

Auto-merging AI fixes after CI passes is ambitious, but trusting agents with prod code is risky.

Strengths
  • CI-aware retry loop allows the agent to self-correct based on test failure output.
  • Smart deduplication prevents flood of pull requests for recurring identical errors.
Weaknesses
  • Autonomous prod deploys require immense trust in AI correctness and security implications.
  • SDK instrumentation adds external dependency overhead to existing production codebases.
Target Audience

Backend developers, startup founders, SREs

Similar To

Sentry · Sweep.ai · Cursor

Post Description

Hey HN,

bugstack started life as an internal tool for my other startup Fuelscout because my customers would encounter production bugs when I was away that would ruin their experience. When I went camping and came home to find out my internal tool had fixed an error and shipped it to production I knew it was bigger than Fuelscout, so my little tool became bugstack.

bugstack monitors your production errors 24/7. When a user hits a bug, bugstack captures the error, pulls context from your repo, generates a minimal surgical code fix, runs it through CI, and delivers it as a pull request. If your CI passes and the fix meets your confidence threshold, it can auto-merge — or you can review the PR yourself. The workflow is: Capture → Fix → Deploy.

Technically:

You install an SDK (npm install @bugstack/sdk) and init with an API key Errors get fingerprinted for smart deduplication (no duplicate PRs for the same bug) The AI analyzes root cause using your actual codebase as context, then generates minimal diffs — not giant rewrites Fixes are syntax-checked, scope-checked, and committed to a new branch with a detailed PR Each project has independent confidence thresholds and you choose manual review vs. auto-merge Dashboard tracks the full lifecycle: Pending → Building Context → Generating Fix → Testing → Fix Ready → Auto-Fixed

Supports JavaScript (Express, Next.js), Python (Flask, FastAPI, Django), Ruby (Rails), and more. 14-day free trial.

I'd love feedback from anyone who deals with on-call rotations or production error triage. What would make you trust an AI to fix your prod bugs?

Product Hunt (we launched today): https://www.producthunt.com/products/bugstack

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