Nikui – An LLM-Powered "Stench Guard" for Your CI/CD
I built Nikui because standard linters catch typos but miss architectural rot. It is a forensics tool inspired by Adam Tornhill's "Code as a Crime Scene." The core idea is the Hotspot Score: Stench (LLM-detected debt) x Churn (Git commit frequency). A messy file that changes daily is a priority; a messy file untouched for years is ignored.
Does the same job
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- MIMy implemented vision of a PIM2018 · ▲53
Hi one and all. I've created an encrypted personal organizer I wish to share with you all. I know.... you are sighing and thinking "Oh! No! not another one". doogiePIM is different in that it's built by the same coder that created one of the very first PIMs that came out around 18+ years ago and creator of TexNotes way back then (it was actually called Scribillo. Wow, I feel old). The original PIM was sold then abandoned by GemX Software and that made me feel really bad. So, I obtained the full code and started to build a far better version of the information manager. One that will…
- IBI Built a UI to finetune LLMs x100 faster2024 · finetuna-ui.com · ▲7
After fine-tuning GPT for a personal project, I realized how tedious it is to write plain text in a massive JSON file. That's why I built this app for my own use, and I want to see if others could benefit from a tool like this as well ;)
Shoehorn, a library to quantize an LLM to fit your Mac's VRAM23d ago · github.com · ▲6I made this after seeing someone posit the idea online yesterday over lunch then spent some time refining it. So far it's pretty impressive IMO! Right now I am running Qwen3-30B-A3B on my 24gb unified memory m4 MacBook Pro at 50 tok/sec and this should definitely not be working for such a large model on my middling hardware. Things are detailed in the README to get up and running and DESIGN.md has details on all the choices and such made along the way.
- AGAiaiai.guide: Plain-English mental model for LLM apps, tools and agentsApr 2026 · aiaiai.guide · ▲7
I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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 · 26d 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
