Vibe Coding Bible: The Original
Ship production-grade software with AI
What it does
Unlike most AI coding resources focused on prompts or beginner tutorials, Vibe Coding Bible focuses on real-world software engineering with AI at production scale. It covers architecture, context management, agent workflows, debugging AI-generated code, scaling large codebases, reducing token costs, and avoiding “AI slop” in professional projects. Built for developers, founders, and teams shipping real products with AI.
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- VCVibe coding a bookshelf with Claude CodeDec 2025 · balajmarius.com · ▲284
- VFVibecoders – Find software engineers that are good at vibecoding2025 · ▲17
If you are concerned about AI replacing your coding job, fear not! Just level up and get very good at vibecoding. "Vibe coding is the art of leveraging AI tools to their fullest potential in software development, creating a seamless fusion between human creativity and machine intelligence. It represents a paradigm shift where developers orchestrate AI systems rather than writing every line manually." The big tools out there are cursor, cline, aider, and Claude Code. https://andrewarrow.dev/ This site was made with Claude Code from just 1 prompt. Go ahead and register and give…
- IBI built a wizard to turn ideas into AI coding agent-ready specsNov 2025 · vibescaffold.dev · ▲71
I created vibescaffold.dev. It is a wizard-style AI tool that will guide you from idea → vision → tech spec → implementation plan. It will generate all the documents necessary for AI coding agents to understand & iteratively execute on your vision. How it works: - Step 1: Define your product vision and MVP - Step 2: AI helps create technical architecture and data models - Step 3: Generate a staged development plan - Step 4: Create an AGENTS.md for automated workflows I've used AI coding tools for awhile. Before this workflow (and now, this tool), I kept getting "close but not quite" results…
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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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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 · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com