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Where Product Managers and Designers learn to code with AI, understand what's happening under the hood, and ship real products.
This is your go-to resource for bridging the gap between product thinking and technical execution. Whether you're a PM who wants to prototype faster or a Designer who wants to understand the code your AI is generating, this repo has everything you need to level up your technical skills.
awesome-vibe-coding/
├── openclaw/ # OpenClaw ecosystem — see openclaw/README.md
│ ├── README.md
│ └── skills/ # Skills index — openclaw/skills/README.md, categories/
├── cursor/ # Cursor & Claude Code — see cursor/README.md
│ ├── skills/ # cursor/skills/README.md
│ ├── commands/ # cursor/commands/README.md
│ ├── best-practices/
│ ├── coding/
│ ├── product-management/ # cursor/product-management/README.md
│ ├── security/
│ └── references/ # cursor/references/README.md
├── prompt-engineering/ # prompt-engineering/README.md, prompts/
├── learning/ # Books and learning materials
├── n8n-templates/ # Workflow templates
├── papers/ # papers/README.md — PDFs and paper notes
├── research/ # research/README.md — notebooks & experiments
└── CONTRIBUTING.md
| Area | Entry point |
|---|---|
| Cursor & Claude | cursor/ · cursor/README.md · Upstream repos catalog |
| Prompts | prompt-engineering/ · prompt-engineering/README.md |
| Learning | learning/ |
| OpenClaw | openclaw/ · openclaw/README.md |
| Research | research/ · research/README.md |
| Papers | papers/ · papers/README.md |
| n8n | n8n-templates/ |
Cursor & Claude (cursor/)
| Topic | Location |
|---|---|
| Skills (brainstorming, plans, TDD, debugging, git worktrees, Vercel UI/React guidelines, etc.) | cursor/skills/ · cursor/skills/README.md |
| Slash commands (code-review, final-review, git-commit, etc.) | cursor/commands/ · cursor/commands/README.md |
| Product management (PRD, epics, tasks) | cursor/product-management/ · README |
| Coding rules (Python, TypeScript, FastAPI, Tailwind, …) | cursor/coding/ |
| Best practices (clean code, Karpathy guidelines, MCP, …) | cursor/best-practices/ |
| Security | cursor/security/ |
| References (agentic patterns, …) | cursor/references/ · cursor/references/README.md |
Prompts library (prompt-engineering/)
Battle-tested prompts for Cursor, Claude, Grok, Kimi, n8n, Lovable, v0, and more — see prompt-engineering/README.md and prompt-engineering/prompts/.
Learning (learning/)
Books and notes (math, algorithms, ML/DL). Browse the folder; there is no single index file.
OpenClaw (openclaw/)
Derivative agents and a skills index (VoltAgent, official OpenClaw archive). Details: openclaw/README.md, openclaw/skills/README.md.
n8n templates (n8n-templates/)
Workflow templates (AI assistants, messaging, sheets, scraping, etc.).
Research & experiments (research/)
Educational notebooks and autonomous research setups. Full catalog and source links: research/README.md.
| Track | Folder | Notes |
|---|---|---|
| Reasoning LLM (book code) | research/reasoning-from-scratch/ | Build a Reasoning Model (From Scratch) |
| Minimal ChatGPT-style stack | research/nanochat/ | Karpathy nanochat |
| Autonomous nanochat experiments | research/autoresearch/ | README, Karpathy autoresearch |
| NLP with Transformers book | research/nlp-with-transformers/ | Classification, NER, generation, QA, … |
| Neural nets from scratch | research/nn-zero-to-hero/ | Karpathy course notebooks |
| Short ML examples | research/ML-Notebooks/ | Notebooks under notebooks/ |
| Understanding Deep Learning | research/understanding-deep-learning/ | Notebook list (Prince / UDL) |
Other items (e.g. DeepSeek OCR) are documented in research/README.md when present.
Papers (papers/)
PDFs and reading notes — papers/README.md.
This repository is maintained by Adrianno, a Staff Product Manager at Pipefy, diving into the magic behind LLMs, experimenting with Python and TypeScript and re-learning the craft of software engineering.
You can find more about me on GitHub and LinkedIn. Feel free to connect with me, I'm always open to discussing AI, product management and building cool things together!
- 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.
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
- awesome-copilot — Custom agents, instructions, skills, and plugins for GitHub Copilot
- awesome-llm-apps — LLM applications with AI Agents
- awesome-cursorrules — Configuration files that enhance Cursor AI editor experience
- awesome-deepseek-integration — Integrate the DeepSeek API into popular softwares
- awesome-datascience — Data science resources
- awesome-python — Python resources
- awesome-typescript — TypeScript resources
- awesome-design-patterns — Software and architecture related design patterns
- awesome-system-design-resources — Learn System Design concepts and prepare for interviews
- awesome-scalability — The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
- Awesome-Design-Tools — The best design tools and plugins for everything
- awesome-for-beginners — A list of awesome beginners-friendly projects
- awesome-cto — Resources for Chief Technology Officers, with emphasis on startups
- Fork the repo
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (see CONTRIBUTING.md for Conventional Commits)
- Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Full guidelines: CONTRIBUTING.md.
This project is licensed under the MIT License — see LICENSE.
Ready to level up? Start with cursor/README.md, openclaw/README.md, or prompt-engineering/README.md. The best way to learn is by doing.