ghexplainer
In the vibe-coding era, know what your code actually does.
What it does
Generate deep, structured technical documentation for any public GitHub repository. Coverghexplainer is an AI-powered tool that generates deep, structured technical documentation for any public GitHub repository. Instead of skimming code or outdated READMEs, developers get architecture, data flow, module breakdowns, business logic, and interview-ready notes automatically. Built for the vibe-coding era when code ships fast, but understanding lags behind.s architecture, data flow, key logic,
Does the same job
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Hi HN! I built pyscn for Python developers in the vibe coding era. If you're using Cursor, Claude, or ChatGPT to ship Python code fast, you know the feeling: features work, tests pass, but the codebase feels... messy. Common vibe coding artifacts: • Code duplication (from copy-pasted snippets) • Dead code from quick iterations • Over-engineered solutions for simple problems • Inconsistent patterns across modules pyscn performs structural analysis: • APTED tree edit distance + LSH • Control-Flow Graph (CFG) analysis • Coupling Between Objects (CBO) • Cyclomatic Complexity Try it without…
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More ai this month
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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 · 17d 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 · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
