Gitar
AI code review that fixes what it finds
What it does
Gitar reviews pull requests, diagnoses CI failures, applies fixes, and validates the changes against your pipeline. It can also retry flaky tests, automate review workflows, and act directly inside GitHub or GitLab. Now part of Sonar.
AI code review that fixes your code automatically — not just comments on it. Validates against CI, catches issues before merge, and ships cleaner code faster.
The code throws an error during render when error state is set. Recommendation: Wrap with an error boundary to prevent UX breakage. The code throws an error during render when error state is set. Recommendation: Wrap with an error boundary to prevent UX breakage. The code throws an error during render when error state is set. Recommendation: Wrap with an error boundary to prevent UX breakage. Gitar has been a big help in maintaining the OpenMetadata open-source repository. As the No. 1 open-source metadata platform moving at break-neck speed, Gitar helps us keep up with community needs. Its code reviews are consistently actionable and relevant, not generic bot feedback, and it has caught…from gitar.ai
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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.
AI · 16d ago · simedw.com
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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…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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.
AI · 16d ago · simedw.com