AIde: AI-Powered Code Practice Tool

An intelligent coding practice tool that leverages OpenAI to generate coding challenges, evaluate solutions, and provide detailed feedback. It helps developers improve their coding skills through interactive practice sessions with AI-generated exercises.

Features

• 💻 Various programming concepts
• 📊 Detailed feedback and scoring
• 🔄 Interactive practice sessions
• 🎓 Educational feedback with specific improvements

Installation

1. Clone the repository:

git clone https://github.com/mihirrd/aide.git
cd aide

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install required packages:

pip3 install -r requirements.txt

Configuration

1. Create .env file
2. Set up your API keys as environment variables:

Linux/Mac:

export OPENAI_API_KEY='your-openai-key'

Windows:

set OPENAI_API_KEY=your-openai-key

Usage

1. Run the tool:

python run.py

2. Choose a programming language and Programming concept from the available options.

3. Review the generated code challenge and implement your solution.

4. Type 'DONE' on a new line when finished with your solution.

5. Review your feedback and score.

Extending Code Coach

Adding New Programming Concepts

Add new concepts to the programming_concepts list in the CodePracticeTool class:

self.programming_concepts = [
    "existing_concept",
    "new_concept_1",
    "new_concept_2"
]

Troubleshooting

Common Issues

1. API Key Errors

   • Ensure environment variables are set correctly
   • Verify API keys are valid and have necessary permissions

2. JSON Parsing Errors

   • The tool includes fallback JSON extraction
   • Check if your selected LLM provider is returning valid JSON

3. Network Issues

   • Verify internet connection
   • Check if the LLM provider's service is available

Getting Help

If you encounter issues:

1. Check the error message for specific details
2. Verify your configuration
3. Check the provider's API documentation
4. Report issues on the project's GitHub page

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request