Awesome-AI-Pedia/Awesome-AI-Pedia

What it solves

Developers often struggle to keep up with the fast-changing AI tool ecosystem — they need reliable, hands-on guidance for tools like Claude Code, Cursor, MCP, and prompt engineering. Awesome AI Pedia collects this knowledge into one searchable, always-updated site, so you can quickly find answers and apply them to real projects instead of scattered tutorials and stale docs.

How it works

The project is a VitePress-powered website hosted on GitHub Pages. The entire repository root acts as the content source: each knowledge category is a folder of Markdown files (like claudeCode/, cursor/, mcp/, skills/). A sidebar is auto-generated by scanning these folders, and full-text local search lets you locate topics instantly. The default dark theme makes long reading sessions comfortable. Pushing to the master branch triggers an automatic build and deployment via GitHub Actions, so content stays fresh with minimal effort. You can also run it locally with the provided start.sh script for a quick dev setup.

Who it's for

Any developer or AI practitioner who wants to master popular AI coding assistants, integrations, and workflows — from beginners needing foundational AI knowledge to experienced builders looking for advanced MCP or Agent patterns. It's especially useful for those who prefer concrete, project-oriented recipes over abstract theory.

Highlights

• Broad coverage: directories for Claude Code, Cursor, Codex, Antigravity, MCP, Agent, Harness Engineering, prompt engineering, rules, skills, and more
• Practical focus: every section draws from real projects and provides actionable solutions
• Built-in local full-text search for quick navigation
• Dark theme by default, comfortable for extended reading
• One-command startup via start.sh for local development
• Automatic deployment to GitHub Pages on every push to master