GitGhost AI
Make AI-built code reviewable before it ships
What it does
GitGhost makes AI-built software reviewable before production. Connect Claude Code, Codex, Cursor, Gemini CLI, or OpenCode; capture session evidence; review branches and diffs; approve risky actions; run pipelines and security checks; and keep humans in charge of what ships.
GitGhost turns private coding-agent chats into shared, reviewable software work where teams can follow sessions, review branches and diffs, approve risky actions, and inherit the context.
GitGhost makes agent work multiplayer: teammates can follow sessions, review branches and diffs, approve risky actions, and inherit the context without chasing private transcripts. “Build the checkout flow, open a branch, run tests and scans, then prepare the merge request for review.” Tour the surfaces beta users work inside: repo hosting, AI chat, local agent sessions, merge review, pipelines, security, and activity evidence in one connected workspace. Private agent work becomes visible, reviewable, and possible to hand off. The project page keeps the file tree, README, branch controls, commit context, clone actions, and project tabs connected to issues, merge requests, pipelines,…from gitghost.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.
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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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Life & fun · 10d ago · louisabraham.github.io
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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.
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