awesome-vibe-coding and Awesome-Vibecoding-Guide

These are complementary curated resources—one provides foundational vibe-coding philosophy and patterns while the other offers production-validated techniques and code examples that practitioners would reference together to understand both the conceptual foundations and practical implementations of AI-assisted development.

awesome-vibe-coding
66
Established
Awesome-Vibecoding-Guide
51
Established
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 10/25
Adoption 10/25
Maturity 13/25
Community 18/25
Stars: 3,552
Forks: 368
Downloads:
Commits (30d): 9
Language:
License: CC0-1.0
Stars: 494
Forks: 59
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About awesome-vibe-coding

filipecalegario/awesome-vibe-coding

A curated list of vibe coding references, collaborating with AI to write code.

This is a curated list of resources for "vibe coding," a new way of collaborating with AI to build software. It compiles various tools, platforms, and concepts that help turn high-level ideas or natural language descriptions into working code and applications. Developers, software engineers, and anyone interested in quickly prototyping or building applications with AI assistance would find this useful.

AI-assisted development software engineering developer tools rapid prototyping code generation

About Awesome-Vibecoding-Guide

loppety/Awesome-Vibecoding-Guide

A compendium drawn from real commercial projects and hundreds of thousands of lines of AI‑assisted code. Read it end‑to‑end or feed this repo to your AI agent for summaries and Q&A. Stars and watches appreciated! ⭐

Operationalizes AI-assisted development into three distinct revenue models—local business websites ($300-700 per project), workflow automations ($500-3000+), and micro-SaaS tools—with production-ready delivery systems covering phase-based workflows, quality standards, and LLM prompting techniques. Built on a minimal stack (Astro, Tailwind, Cloudflare Pages/Workers) with cost-effective model providers (Synthetic.new, MiniMax, GLM) and coding agents, emphasizing that methodology matters more than which LLM you choose. Includes cross-cutting guidance on git safety, accessibility/SEO, troubleshooting, and client acquisition strategies alongside reference implementations and cheat sheets.

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