bugstack
Self-healing code
What it does
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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FixBugs – Reproduce production bugs and verify fixesJul 2026 · fixbugs.ai · ▲43I built FixBugs, an agent that ingests the rich context surrounding production bugs to reproduce them in a sandbox and generate verified fixes. It's available in the form of a self-hosted VSCode extension and as a Github app: VSCode Extension: https://fixbugs.ai/go/vscode-extension - full code and data privacy. - zero data retention models opted out of training. GitHub App: https://fixbugs.ai/go/github-app - we do access your code temporarily. - pick a repo to install FixBugs on. What motivated me to build FixBugs were my years being on-call at Google…
BugSnap AIJun 2026 · assiakharbouch.gumroad.com · ▲2Turn any bug into a senior-level report in 5 seconds
- BABugbusters.ai automated bugfixing using gpt-32022 · bugbusters.ai · ▲19
Hi everyone on HackerNews, We are just launching Bugbusters. Bugbusters is a GitHub-Bot that writes bugfixes for errors detected by application monitoring software like sentry. It examines an error's monitoring data, such as stack traces, in combination with the source code and git commit history to generate a potential fix. The bugfix will be submitted via a Pull Request that will also include details on the determined cause of the initial error and approach taken to fix it. You can simply create a GitHub Issue containing a link to the error in sentry and assign it to the Bugbusters-Bot. In…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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