The new professional superpower is not coding; it's orchestrating AI agents to build for you.

Whether you're an experienced developer looking to amplify your capability 10x through AI-assisted workflows, or someone with domain expertise ready to unlock your aspirations by transforming ideas into working solutions—this repository provides production-ready project examples for mastering AI-augmented development.

Used in California Science and Technology University's ETTP program AI-Assisted Software Development as supplemental lab materials, study guide, and knowledge graph, these projects teach you to build complete, deployable applications by "instructions in plan English" (that is deeper than "Vibe") to orchestrate AI agents as your development partners.

Before diving into tools, many aspiring creators face a dilemma:

1. "How do I know what AI tools can do for me if I don't know what's possible?" (What to do?)
2. "How to use those tools for the best result?" (How to do it?)
3. "What do I really want to accomplish, regardless of any specific tool?" (why I want to do it?)

Our philosophy is different: Start with your vibe.

This is not about the choice of a platform, a specific tool, or memorizing commands. It's about developing a new intuition—a "vibe" for problem-solving with AI. It's about learning to express your goals and frustrations in a way that AI agents can understand. You don't need to be a coder or programmer to establish such "coding vocabulary" in order to communicate with AI Agents; you just need to learn to describe the patterns of the problems in your domain. This repository is your toolbox and playground for developing a rich vocabulary in daily English (or any major written language), so you can create the results you want. (hint: Jobs, inventions, application, or any process breakthrough in your own domain)

Ready to dive in? For the self-motivated learner, here's how to get your first AI-augmented application running in under two hours. This path is designed to answer the first question: 'What can AI tools do for me?'

1. Clone the Repository:

   git clone https://github.com/pingwu/maca.git
   cd maca

2. Follow the Quick Start Guide:
   • Quick Start Guide — Install your complete AI coding environment (Docker, AI Agents, etc.).
3. Build Your First Project:
   • Start with the Content Generator. You'll have a working, full-stack AI application deployed and running by the end of the day.

A Note for Your Journey:

• For Coders: Think of these projects as a robust starting point. The value is not in the sample code itself, but in learning to use AI agents to extend, refactor, and build upon it at a professional level.
• For Non-Coders: Your advantage is your domain expertise. Start with a problem you know well. Think about what you want to create, who it's for, and the value it will provide. The AI will be your technical partner to bring that vision to life.

While the tools are powerful, the mindset is paramount. A structured, collaborative environment is the fastest way to master the "agentic process." This path answers the question of how to best harness AI tools.

In our cohort-based courses, you will:

• Receive live, expert instruction.
• Get personalized feedback on your projects.
• Collaborate with a community of fellow AI-augmented developers.

Interested in a structured, hands-on learning experience?

• Contact me for the workshops mailto:[email protected]?subject:AI Coding Agent Cohort Inquiry or
• Subscribe to my newsletter

This repository and its underlying philosophy are based on the work of Ping Wu. With a deep background in enterprise software evolution at companies like IBM, SAP, and Gilead Sciences, Ping now focuses on teaching the "agentic process" to the next generation of creators.

His work is centered on the idea that AI can be a partner for achieving ambitious goals with less stress and more creative flow.

Want to bring this mindset to your organization? or need a guided session to find your "why?"

• Contact me for the engagements

A successful AI-augmented performer knows how to choose the right agent for the job. This repository gives you a production-ready toolkit of AI coding assistants.

• See the Full Agent Comparison and Workflow Guide
• Understanding AI Coding Assistants - Conceptual overview
• Coverage of non-programming tools is in progress.

This repository contains a series of projects designed to build your portfolio. Each one demonstrates a key skill that employers are looking for.

• Glossary Hub - Knowledge graph of core concepts and definitions
• WSL Setup Guide - Windows development environment configuration
• Environment Variables - Secure configuration management across platforms
• Understanding AI Coding Assistants - AI tools landscape
• Claude Code Installation - AI coding assistant setup

• System Administrator Privileges - Cross-platform admin access explained
• API Keys - What they are and how to use them securely
• AI Coding Agents Comparison - Complete tool comparison guide

• The Full 12-Week Learning Path
• Career Outcomes & Professional Benefits

This is an open-source project. Contributions are welcome! Please see our Contributing Guidelines for details.

This project is licensed under the MIT License. See the LICENSE file for details.