AI-Assisted Test-Driven Development (TDD) Project

This project demonstrates an AI-assisted approach to Test-Driven Development (TDD) using Streamlit, OpenAI's GPT model, and Playwright for testing.

Features

• Define application requirements
• Generate test scenarios based on requirements
• Create Playwright tests automatically
• Build application code iteratively
• Run tests and regenerate code until tests pass

Installation

1. Clone the repository:

   git clone git@github.com:markoub/pair-programmer.git
   cd pair-programmer
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Set up your OpenAI API key: Create a file named .streamlit/secrets.toml and add your API key:

   OPENAI_API_KEY = "your-api-key-here"
   

Usage

1. Run the Streamlit app:

   streamlit run app.py
   

2. Follow the steps in the web interface:

   • Define your application
   • Generate test scenarios
   • Create Playwright tests
   • Build your application
   • Run tests and iterate

Project Structure

• app.py: Main Streamlit application
• src/: Contains the core logic for each step of the TDD process
• projects/: Stores individual project data and generated code
• utils.py: Utility functions for API calls and code generation

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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