
X07, a language for autonomous coding
programming language, coding agents
What it does
Why build it? In daily agent coding, we kept seeing the same problems: - A small edit can accidentally break syntax (missing bracket, misplaced comma), so the next step fails for reasons unrelated to the task. - Many compiler/tool errors are written for humans, not for automation. The agent can see "something is wrong" but not "make this exact fix at this exact spot." X07 is an attempt to reduce those failure modes by making edits, diagnostics, and execution modes more predictable for agents.
Does the same job
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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…
AI · 27d ago · cactuscompute.com

