Test Buggy
Record your browser. AI writes the bug report.
What it does
QA engineer knows the pain: you find a bug, then spend 15 minutes writing about it. Steps to reproduce from memory, copying console errors, taking screenshots, formatting for Jira Test Buggy fixes this. Install the Chrome extension, record your browser session normally, and AI generates a complete bug report or test case in 3 seconds —with steps, console errors, network failures, and a GIF recording included automatically. No more writing bug reports from memory. Just record, stop, and ship.
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- MUMost users won't report bugs unless you make it stupidly easy2025 · ▲335
Most feedback tools are built like people actually want to report bugs. They don’t. Unless you make it dead-simple, or better yet - a little fun. After shipping a few SaaS products, I noticed a pattern: Bugs? Yes. Bug reports? No. Not because users didn’t care but because reporting bugs is usually a terrible experience. Most tools want users to: * Fill out a long form * Enter their email * Describe a bug they barely understand * Maybe sign in or create an account * Then maybe submit it Let’s be real: no one’s doing that. Especially not someone just trying to use your product. So I built…
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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 · 18d 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
