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# AI-Powered Virtual Development Pod
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An intelligent system that simulates a complete software development team using AI agents. The system handles the entire project lifecycle from requirements gathering to testing.
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## Features
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- Business Analyst Agent: Creates user stories from high-level requirements
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- Design Agent: Creates software design specifications
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- Developer Agent: Generates code based on user stories and design
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- Testing Agent: Creates and executes test cases
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- Project Manager Interface: Web-based interface for project management
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## Project Structure
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```
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.
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βββ agents/ # Contains all agent implementations
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β βββ business_analyst.py
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β βββ designer.py
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β βββ developer.py
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β βββ tester.py
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β βββ project_manager.py
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βββ core/ # Core framework components
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β βββ config.py
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β βββ database.py
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β βββ base_agent.py
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βββ app.py # Streamlit web interface
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βββ tests/ # Test files
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```
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## Setup
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1. Create a virtual environment:
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```bash
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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```
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2. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Set up environment variables:
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Create a `.env` file with:
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```
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GROQ_API_KEY=your_api_key_here
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```
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## Usage
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1. Start the Streamlit app:
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```bash
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streamlit run app.py
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```
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2. Open your web browser and navigate to the URL shown in the terminal (usually http://localhost:8501)
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3. Use the web interface to:
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- Start new projects
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- Check project status
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- Run quality checks
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- View generated artifacts
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## Development
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- The system uses LangGraph for agent orchestration
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- Groq's Gemma2-9b-it model as the LLM
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- ChromaDB for vector storage and retrieval
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- Streamlit for the web interface
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