Divisio
Every coding agent, in one workspace
What it does
Divisio is a local-first desktop workspace for coding agents. Run Claude Code, Codex, Cursor, Grok, Qwen and more side by side under your own CLI logins, with warm sessions, parallel git worktrees, and a review pane for every change.
Divisio runs Claude Code, Codex, Cursor, Grok and five more side by side — under your own CLI logins, on your own machine. Warm sessions so the agent is awake when you hit send, a git worktree per lane so they never collide, and a review pane that shows every line before it lands. Most wrappers start a fresh CLI process for every message, so you pay the cold boot every single time. Divisio keeps one session per thread and talks to it directly. Same prompts, same machine — here is what changes. Divisio runs the agent CLIs installed on your machine, signed in as you. Your plan, your rate limits, your data. It shows you which are installed, which have an update waiting, and tells you exactly…from junaidshaukat.com
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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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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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