AI Rules - Next.js, Tailwind, Supabase
Stop fixing the same AI coding mistakes. 400+ tested rules.
What it does
AI coding tools keep generating broken Next.js 15 code: "use client" everywhere, getSession() instead of getUser(), sync params, select('*'), Tailwind v3 config on v4. I tracked every fix for 2 months. 12 patterns = 90% of my corrections. This pack eliminates all of them: → 400+ rules for Cursor (.cursorrules +mdc) → Claude Code skill with 3 reference files → 15 ready-to-paste prompts → QA tested on 12 scenarios Works with Cursor, Claude Code, Codex, Windsurf & Copilot.
Does the same job
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AI Rules Pack for modern FE Development May 2026 · saastenance.comStop teaching AI your code conventions every session
- LALangCSS – An AI Assistant for Tailwind2024 · langcss.com · ▲108
Hi All This is my personal project that is an IDE and AI assistant for creating tailwind components and pages. You can chat to create designs, then make small edits yourself, and continue chatting to refine them. I am always working to improve the UX. I have a time limited demo page here: https://langcss.com/demo Please let me know what you think! Feedback is welcome. Tech wise, this just uses NextJS (Hosted on Docker) and Azure Open AI.




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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
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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
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


