🚀 AI Developer Playbook

Welcome to the AI Developer Playbook! This repository is a curated, level-based guide for software developers to transition from manual coding to AI-augmented engineering.

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🗺️ The Learning Path

graph TD
    A[Level 0: Fundamentals] --> B[Level 20: IDE Mastery]
    B --> C[Level 40: Design & UI]
    C --> D[Level 60: Advanced Refactoring]
    D --> E[Level 80: Agentic Terminal]
    E --> F[Level 90: MCP Integrations]
    F --> G[Level 100: Privacy & Local AI]

    style A fill:#f9f,stroke:#333,stroke-width:2px
    style G fill:#00ff00,stroke:#333,stroke-width:4px

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🎓 Sequential Roadmap (Level 0 → 100)

🟢 Level 0-20: Foundational Mastery

• 01-ai-fundamentals

  • 01-ai-glossary-and-mindset.md - LLMs, Tokens, and the AI mindset.
  • 02-first-prompts.md - 5 core beginner workflows.

• 02-ide-context-and-rules

  • .cursorrules, .github/copilot-instructions.md - IDE optimization.
  • 02-architecture-md-template.md - Documenting for AI agents.

🟡 Level 40-60: Productivity & Refactoring

• 03-design-and-ui-workflows

  • 01-figma-and-vision-prompts.md - Design-to-code for Compose, React Native, & Flutter.

• 04-advanced-refactoring

  • 01-multi-file-refactoring.md - Migrating REST to GraphQL and large-scale refactors.

🔴 Level 80-100: The AI Power User

• 05-agentic-terminal-tools

  • 01-terminal-agents-guide.md - Aider, Claude Code, and autonomous debugging.

• 06-mcp-and-integrations

  • 01-mcp-setup-guide.md - Connecting AI to DBs, Figma, and GitHub.

• 07-local-ai-and-privacy

  • 01-running-local-llms.md - Ollama, vLLM, and offline coding.

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⚡ Quick-Start Guide

Select your current path based on your goals:

Experience Level	Focus Area	Start Here
Total Beginner	Understanding & Basics	Fundamentals
Productivity Seeker	UI & Refactoring	Design Workflows
Enterprise / Privacy	Security & Context	Local AI & Architecture
AI Power User	Agents & Tools	Terminal Agents

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Disclaimer: This playbook is a living document. As the field of AI evolves, so will these guides.