adriannoes

awesome-vibe-coding

<div align="center"> ``` ██╗ ██╗██╗██████╗ ███████╗ ██████╗ ██████╗ ██████╗ ██╗███╗ ██╗ ██████╗ ██║ ██║██║██╔══██╗██╔════╝ ██╔════╝██╔═══██╗██╔══██╗██║████╗ ██║██╔════╝ ██║ ██║██║██████╔╝█████╗ ██║ ██║ ██║██║ ██║██║██╔██╗ ██║██║ ███╗ ╚██╗ ██╔╝██║██╔══██╗██╔══╝ ██║ ██║ ██║██║ ██║██║██║╚██╗██║██║ ██║ ╚████╔╝ ██║██████╔╝███████╗ ╚██████╗╚██████╔╝██████╔╝██║██║ ╚████║╚██████╔╝ ╚═══╝ ╚═╝╚═════╝ ╚══════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═╝╚═╝ ╚═══╝ ╚═════╝ ``` [](https://github.com/adriannoes/awesome-vibe-coding/stargazers) [](https://github.com/adriannoes/awesome-vibe-coding/network/members) [](LICENSE) [](https://github.com/adriannoes/awesome-vibe-coding/commits/main) [](https://github.com/sindresorhus/awesome) [](CONTRIBUTING.md) </div> # Vibe Coding Hub for Product Builders > The most complete collection of battle-tested AI-assisted development resources — for Product Managers, Designers, and Developers who want to ship real products with AI. **What's inside:** 75 ready-to-use Cursor & Claude Code skills · 123 Jupyter notebooks · 31 research papers (PDFs in `papers/`) · 14 industry reports · 21 n8n workflow templates (JSON) · 14 system prompts from leading agents · 36 OpenClaw derivatives catalogued. Whether you're a PM who wants to prototype faster, a Designer who wants to understand the code your AI is generating, or a Developer looking for the sharpest rules to ship with — this repo is built to be copied, forked, and used the same day. ## Quick start Pick your path and start in under 5 minutes: ### For Product Managers 1. Read [cursor-and-claude/product-management/no-vibe-coding.md](cursor-and-claude/product-management/no-vibe-coding.md) — Spec-Driven Development 2. Use [cursor-and-claude/product-management/create-prd.md](cursor-and-claude/product-management/create-prd.md) to turn an idea into a PRD with AI 3. Generate tasks with [cursor-and-claude/product-management/generate-tasks.md](cursor-and-claude/product-management/generate-tasks.md) 4. Ship with [cursor-and-claude/skills/writing-plans/](cursor-and-claude/skills/writing-plans/) + [cursor-and-claude/skills/executing-plans/](cursor-and-claude/skills/executing-plans/) ### For Designers 1. Drop [cursor-and-claude/skills/frontend-design/](cursor-and-claude/skills/frontend-design/) into your Claude Code project 2. Follow [cursor-and-claude/skills/web-design-guidelines/](cursor-and-claude/skills/web-design-guidelines/) (Vercel) for distinctive UI 3. Read [cursor-and-claude/best-practices/accessibility.md](cursor-and-claude/best-practices/accessibility.md) before shipping ### For Developers 1. Install the core skills: [brainstorming](cursor-and-claude/skills/brainstorming/), [test-driven-development](cursor-and-claude/skills/test-driven-development/), [systematic-debugging](cursor-and-claude/skills/systematic-debugging/) 2. Grab the slash commands: [cursor-and-claude/commands/](cursor-and-claude/commands/) (`code-review`, `final-review`, `git-commit`, `security-audit`) 3. Pick your stack rules from [cursor-and-claude/coding/](cursor-and-claude/coding/) (Python, TypeScript, FastAPI, Next.js, …) 4. Lock down security with [cursor-and-claude/security/anthropic-security-audit.md](cursor-and-claude/security/anthropic-security-audit.md) ### For Learners 1. Start with the notebooks in [research/nn-zero-to-hero/](research/nn-zero-to-hero/) (Karpathy's Zero to Hero) 2. Read [learning/README.md](learning/README.md) to pick a textbook 3. Follow [research/understanding-deep-learning/](research/understanding-deep-learning/) chapter-by-chapter ## Project structure ``` awesome-vibe-coding/ ├── openclaw/ # OpenClaw ecosystem — see openclaw/README.md │ ├── README.md │ └── skills/ # Skills index — openclaw/skills/README.md, categories/ ├── cursor-and-claude/ # Cursor & Claude Code — see cursor-and-claude/README.md │ ├── skills/ # cursor-and-claude/skills/README.md │ ├── commands/ # cursor-and-claude/commands/README.md │ ├── best-practices/ │ ├── coding/ │ ├── product-management/ # cursor-and-claude/product-management/README.md │ ├── security/ │ └── references/ # cursor-and-claude/references/README.md ├── prompt-engineering/ # prompt-engineering/README.md, prompts/ ├── learning/ # learning/README.md — books and textbooks ├── reports/ # reports/README.md — industry reports (McKinsey, OpenAI, …) ├── n8n-templates/ # Workflow templates ├── papers/ # papers/README.md — PDFs and paper notes ├── research/ # research/README.md — notebooks & experiments └── CONTRIBUTING.md ``` ## Quick links | Area | Entry point | |------|-------------| | Cursor & Claude | [cursor-and-claude/](cursor-and-claude/) · [cursor-and-claude/README.md](cursor-and-claude/README.md) · [Upstream repos catalog](cursor-and-claude/references/upstream-repos-catalog.md) | | Prompts | [prompt-engineering/](prompt-engineering/) · [prompt-engineering/README.md](prompt-engineering/README.md) | | Learning | [learning/](learning/) · [learning/README.md](learning/README.md) | | Reports | [reports/](reports/) · [reports/README.md](reports/README.md) | | OpenClaw | [openclaw/](openclaw/) · [openclaw/README.md](openclaw/README.md) | | Research | [research/](research/) · [research/README.md](research/README.md) | | Papers | [papers/](papers/) · [papers/README.md](papers/README.md) | | n8n | [n8n-templates/](n8n-templates/) | ## What's inside ### Cursor & Claude ([cursor-and-claude/](cursor-and-claude/)) | Topic | Location | |-------|----------| | Skills (brainstorming, plans, TDD, debugging, git worktrees, Vercel UI/React guidelines, etc.) | [cursor-and-claude/skills/](cursor-and-claude/skills/) · [cursor-and-claude/skills/README.md](cursor-and-claude/skills/README.md) | | Slash commands (code-review, final-review, git-commit, etc.) | [cursor-and-claude/commands/](cursor-and-claude/commands/) · [cursor-and-claude/commands/README.md](cursor-and-claude/commands/README.md) | | Product management (PRD, epics, tasks) | [cursor-and-claude/product-management/](cursor-and-claude/product-management/) · [README](cursor-and-claude/product-management/README.md) | | Coding rules (Python, TypeScript, FastAPI, Tailwind, …) | [cursor-and-claude/coding/](cursor-and-claude/coding/) | | Best practices (clean code, Karpathy guidelines, MCP, …) | [cursor-and-claude/best-practices/](cursor-and-claude/best-practices/) | | Security | [cursor-and-claude/security/](cursor-and-claude/security/) | | References (agentic patterns, …) | [cursor-and-claude/references/](cursor-and-claude/references/) · [cursor-and-claude/references/README.md](cursor-and-claude/references/README.md) | ### Prompts library ([prompt-engineering/](prompt-engineering/)) Battle-tested prompts for Cursor, Claude, Grok, Kimi, n8n, Lovable, v0, and more — see [prompt-engineering/README.md](prompt-engineering/README.md) and [prompt-engineering/prompts/](prompt-engineering/prompts/). ### Learning ([learning/](learning/)) Three freely-available textbooks that ground the notebooks and skills in this repo: *Understanding Deep Learning* (Prince), *Mathematics for Computer Science* (MIT 6.042J), and *Algorithms for Decision Making* (Stanford). See [learning/README.md](learning/README.md) for what each is best for. ### Reports ([reports/](reports/)) 14 industry reports from McKinsey, Deloitte, KPMG, OpenAI, Anthropic, Air Street Capital, and others — useful for pitch decks, business cases, and agent metrics. See [reports/README.md](reports/README.md) for a themed index. ### OpenClaw ([openclaw/](openclaw/)) Derivative agents and a skills index (VoltAgent, official OpenClaw archive). Details: [openclaw/README.md](openclaw/README.md), [openclaw/skills/README.md](openclaw/skills/README.md). ### n8n templates ([n8n-templates/](n8n-templates/)) Workflow templates (AI assistants, messaging, sheets, scraping, etc.). ### Research & experiments ([research/](research/)) Educational notebooks and autonomous research setups. **Full catalog and source links:** [research/README.md](research/README.md). | Track | Folder | Notes | |-------|--------|--------| | Reasoning LLM (book code) | [research/reasoning-from-scratch/](research/reasoning-from-scratch/) | *Build a Reasoning Model (From Scratch)* | | Minimal ChatGPT-style stack | [research/nanochat/](research/nanochat/) | Karpathy nanochat | | Autonomous nanochat experiments | [research/autoresearch/](research/autoresearch/) | [README](research/autoresearch/README.md), Karpathy autoresearch | | NLP with Transformers book | [research/nlp-with-transformers/](research/nlp-with-transformers/) | Classification, NER, generation, QA, … | | Neural nets from scratch | [research/nn-zero-to-hero/](research/nn-zero-to-hero/) | Karpathy course notebooks | | Short ML examples | [research/ML-Notebooks/](research/ML-Notebooks/) | Notebooks under `notebooks/` | | Understanding Deep Learning | [research/understanding-deep-learning/](research/understanding-deep-learning/) | [Notebook list](research/understanding-deep-learning/README.md) (Prince / UDL) | Other items (e.g. DeepSeek OCR) are documented in [research/README.md](research/README.md) when present. ### Papers ([papers/](papers/)) PDFs and reading notes — [papers/README.md](papers/README.md). ## About This repository is maintained by **Adrianno**, a Staff Product Manager at [Pipefy](https://www.pipefy.com), diving into the magic behind LLMs. You can find more about me on [GitHub](https://github.com/adriannoes) and [LinkedIn](https://www.linkedin.com/in/adrianno/). Feel free to connect with me, I'm always open to discussing AI, product management and building cool things together! ## Who this is for - **Product Managers** who want to prototype ideas without waiting for engineering - **Product Designers** who want to understand the code their AI generates - **Product Builders** who want to go from idea to product faster - **Developers** looking for optimized Cursor and Claude rules - **Anyone** curious about how AI-assisted development actually works. ## What makes this different This isn't just another collection of AI tools. We focus on: - **Understanding the fundamentals** — You'll learn why things work, not just how to use them - **Real-world applications** — Every example is something you'd actually build - **Product thinking** — We connect technical concepts to business outcomes - **Reproducible results** — Everything is tested and documented ## Inspired by ### AI & development - [awesome-copilot](https://github.com/github/awesome-copilot) — Custom agents, instructions, skills, and plugins for GitHub Copilot - [awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) — LLM applications with AI Agents - [awesome-cursorrules](https://github.com/PatrickJS/awesome-cursorrules) — Configuration files that enhance Cursor AI editor experience - [awesome-deepseek-integration](https://github.com/deepseek-ai/awesome-deepseek-integration) — Integrate the DeepSeek API into popular softwares - [awesome-datascience](https://github.com/academic/awesome-datascience) — Data science resources ### Programming languages - [awesome-python](https://github.com/vinta/awesome-python) — Python resources - [awesome-typescript](https://github.com/dzharii/awesome-typescript) — TypeScript resources ### Architecture & design patterns - [awesome-design-patterns](https://github.com/DovAmir/awesome-design-patterns) — Software and architecture related design patterns - [awesome-system-design-resources](https://github.com/ashishps1/awesome-system-design-resources) — Learn System Design concepts and prepare for interviews - [awesome-scalability](https://github.com/binhnguyennus/awesome-scalability) — The Patterns of Scalable, Reliable, and Performant Large-Scale Systems ### Design & product - [Awesome-Design-Tools](https://github.com/goabstract/Awesome-Design-Tools) — The best design tools and plugins for everything - [awesome-for-beginners](https://github.com/MunGell/awesome-for-beginners) — A list of awesome beginners-friendly projects - [awesome-cto](https://github.com/kuchin/awesome-cto) — Resources for Chief Technology Officers, with emphasis on startups ## Contributing 1. Fork the repo 2. Create your feature branch (`git checkout -b feature/amazing-feature`) 3. Commit your changes (see [CONTRIBUTING.md](CONTRIBUTING.md) for Conventional Commits) 4. Push to the branch (`git push origin feature/amazing-feature`) 5. Open a Pull Request Full guidelines: [CONTRIBUTING.md](CONTRIBUTING.md). ## License This project is licensed under the MIT License — see [LICENSE](LICENSE). --- **Ready to level up?** Start with [cursor-and-claude/README.md](cursor-and-claude/README.md), [openclaw/README.md](openclaw/README.md), or [prompt-engineering/README.md](prompt-engineering/README.md). The best way to learn is by doing.