🤖 AICOP - AI-Powered Development Crew

Transform your ideas into working software with AI agents!

AICOP is an intelligent software development crew powered by CrewAI that automatically builds complete applications from simple requirements. Just describe what you want, and watch as AI agents collaborate to design, code, test, and create a user interface for your project!

🎯 What Does AICOP Do?

AICOP takes your high-level requirements and transforms them into a complete, working application through a team of specialized AI agents:

Your Idea → AI Agents → Complete Application
    ↓           ↓              ↓
"I need a     🤖 Design      ✅ Working Code
 trading      🤖 Code        ✅ User Interface  
 system"      🤖 Test        ✅ Unit Tests
              🤖 UI

🏗️ How It Works - The AI Development Pipeline

graph TD
    A[📝 Your Requirements] --> B[🎯 Engineering Lead]
    B --> C[💻 Backend Engineer]
    C --> D[🎨 Frontend Engineer]
    C --> E[🧪 Test Engineer]
    
    B --> F[📋 Design Document]
    C --> G[🐍 Python Code]
    D --> H[🖥️ Gradio UI]
    E --> I[✅ Unit Tests]
    
    style A fill:#00000
    style F fill:#00000
    style G fill:#00000
    style H fill:#00000
    style I fill:#00000

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Meet Your AI Development Team

Agent	Role	What They Do
🎯 Engineering Lead	Project Manager	Analyzes requirements and creates detailed technical designs
💻 Backend Engineer	Python Developer	Writes clean, efficient Python code based on the design
🎨 Frontend Engineer	UI Developer	Creates simple Gradio web interfaces to demo your app
🧪 Test Engineer	QA Specialist	Writes comprehensive unit tests to ensure code quality

🚀 Quick Start

Prerequisites

• Python 3.10 - 3.13
• Basic command line knowledge
• Docker

Installation

1. Install UV package manager:

   pip install uv

2. Set up your OpenAI API key:

   • Copy .env.example to .env (if it exists)
   • Add your OpenAI API key:

   OPENAI_API_KEY=your_api_key_here
   

3. Install dependencies:

   crewai install

Run Your First Project

crewai run

That's it! AICOP will build a complete trading account management system as a demo.

📁 Project Structure

aicop/
├── 📄 README.md              # You are here!
├── ⚙️ pyproject.toml          # Project configuration
├── 🔑 .env                   # Your API keys (create this)
├── 📁 src/aicop/
│   ├── 🤖 crew.py            # AI agents definition
│   ├── 🎯 main.py            # Main execution script
│   └── 📁 config/
│       ├── 👥 agents.yaml    # Agent configurations
│       └── 📋 tasks.yaml     # Task definitions
├── 📁 output/                # Generated code appears here
│   ├── 📄 accounts.py        # Generated backend code
│   ├── 🖥️ app.py             # Generated UI
│   ├── 🧪 test_accounts.py   # Generated tests
│   └── 📋 accounts_design.md # Design document
└── 📁 knowledge/             # Additional context files

🎮 Example: What AICOP Builds

When you run the default example, AICOP creates a Trading Account Management System:

Generated Files:

• accounts.py - Complete Python class with methods for deposits, withdrawals, buying/selling stocks
• app.py - Interactive web interface using Gradio
• test_accounts.py - Comprehensive unit tests
• accounts_design.md - Technical design documentation

Features Built:

• ✅ Account creation and management
• ✅ Deposit and withdrawal functionality
• ✅ Stock trading simulation
• ✅ Portfolio value calculation
• ✅ Profit/loss tracking
• ✅ Transaction history
• ✅ Web-based user interface
• ✅ Complete test coverage

🛠️ Customizing AICOP

1. Modify Requirements

Edit src/aicop/main.py and change the requirements variable:

requirements = """
Your custom project requirements here.
For example: A task management system that allows users to...
"""

2. Configure Agents

Edit src/aicop/config/agents.yaml to customize:

• Agent roles and responsibilities
• AI models used (currently using Gemini)
• Agent backstories and personalities

3. Adjust Tasks

Edit src/aicop/config/tasks.yaml to modify:

• Task descriptions and expectations
• Output file locations
• Task dependencies

🔧 Advanced Usage

Running Specific Commands

# Train the crew (improve performance over time)
crewai train

# Replay a previous execution
crewai replay

# Run tests on generated code
crewai test

Adding Custom Tools

You can extend AICOP by adding custom tools in the src/aicop/tools/ directory for specialized functionality like:

• Database connections
• API integrations
• File processing
• External service calls

🎯 Use Cases

AICOP is perfect for:

• 🏗️ Rapid Prototyping - Turn ideas into working demos quickly
• 📚 Learning Projects - See how AI approaches software design
• 🧪 Proof of Concepts - Validate ideas before full development
• 🎓 Educational Tools - Understand software architecture patterns
• 🚀 Startup MVPs - Get from concept to demo fast

🤝 Contributing

Want to improve AICOP? Here's how:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test with different requirements
5. Submit a pull request

📚 Learn More

• CrewAI Documentation
• CrewAI GitHub
• Join CrewAI Discord

🆘 Troubleshooting

Common Issues:

"No module named 'crewai'"

pip install crewai[tools]

"OpenAI API key not found"

• Make sure you have a .env file with OPENAI_API_KEY=your_key

"Permission denied"

• On Windows, run command prompt as administrator
• On Mac/Linux, use sudo if needed

Generated code has errors

• Check the output/ folder for all generated files
• Review the design document first
• Try running with different requirements

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🌟 Ready to Build Something Amazing?

1. Set up your API key
2. Run crewai run
3. Watch the magic happen!
4. Customize for your own projects

Happy coding with your AI development crew! 🚀