CodeClimbAI

Try it live: codeclimb.streamlit.app

An AI-powered learning platform that teaches code optimization through Socratic questioning and adaptive coaching.

Philosophy

CodeClimbAI teaches through discovery, not direct instruction. Instead of fixing your code, it guides you to identify and solve optimization problems yourself using research-backed pedagogical methods.

Quick Start

1. Clone the repository
2. Install requirements: pip install -r requirements.txt
3. Set your Anthropic API key in .streamlit/secrets.toml
4. Run: streamlit run app.py

How It Works

1. Submit your code for analysis
2. Answer guided questions about potential improvements
3. Apply your discoveries and resubmit
4. Learn through structured reflection and concept reinforcement

Architecture

CodeClimbAI/
├── app.py                 # Main application entry point
├── config.py             # Configuration settings
├── core/                 # Business logic and AI coaching
├── templates/            # Code examples and learning materials  
├── ui/                   # User interface components
└── utils/                # Utilities and helper functions

Key Features

• Socratic questioning instead of direct solutions
• Adaptive coaching that responds to your learning patterns
• Interview-critical issue detection for job preparation
• Real code analysis using your actual projects
• Safe execution environment with intelligent fake data generation

Module Documentation

• core/ - AI coaching and business logic
• templates/ - Learning materials and examples
• ui/ - User interface components
• utils/ - Utilities and execution tools

Technical Stack

• Frontend: Streamlit
• AI: Claude (Anthropic)
• Execution: Safe Python code execution with pandas/numpy
• Deployment: Streamlit Cloud