🤖 CodeMate — LLM Powered Coding Assistant

CodeMate is an AI-powered coding mentor designed to help developers and students understand programming concepts instead of directly giving full solutions.

Unlike typical AI chatbots, CodeMate focuses on guiding the user through logical thinking and problem solving, making it a great learning companion for coding practice.

---

🚀 Live Overview

CodeMate provides a ChatGPT-style interface where users can ask coding questions and receive:

• step-by-step hints
• debugging guidance
• conceptual explanations
• beginner-friendly learning support

The application is built using Streamlit + LangChain + Groq LLMs, providing fast inference and a smooth UI experience.

---

🧠 Key Features

✨ Coding Mentor Mode Instead of giving full answers, the assistant provides hints and logical guidance.

⚡ Ultra Fast Responses Powered by Groq's LLaMA-3 models for low latency responses.

💬 ChatGPT Style Interface Built using Streamlit chat components.

🧠 Context Aware Conversation Maintains chat history for better explanations.

📚 Beginner Friendly Explanations Simplifies programming concepts for learners.

🔐 Secure API Management API keys stored using environment variables.

---

🛠️ Tech Stack

Frontend

• Streamlit

Backend

• Python

AI Framework

• LangChain

LLM Provider

• Groq

Model

• LLaMA-3 70B

Environment

• Python Dotenv

---

📂 Project Structure

CodeMate-LLM-Powered-Coding-Assistant
│
├── app.py                # Main Streamlit application
├── config.py             # Configuration and environment variables
├── llm.py                # LLM initialization
├── prompts.py            # System prompts
├── utils.py              # Helper functions
│
├── requirements.txt      # Project dependencies
├── .env                  # API keys (not uploaded to GitHub)
│
└── components/
    └── chat_ui.py        # Chat interface components

---

⚙️ Installation & Setup

1️⃣ Clone the repository

git clone https://github.com/UtsavRaj1111/CodeMate-LLM-Powered-Coding-Assistant.git
cd CodeMate-LLM-Powered-Coding-Assistant

---

2️⃣ Install dependencies

pip install -r requirements.txt

---

3️⃣ Create environment file

Create a .env file in the root directory.

GROQ_API_KEY=your_groq_api_key_here

---

4️⃣ Run the application

streamlit run app.py

---

🖥️ Application Interface

The application includes:

Sidebar

• Model configuration
• Tech stack overview
• Features description

Chat Interface

• Ask coding questions
• Receive hints and explanations
• Maintain conversation context

---

🔒 Security

Sensitive information such as API keys are stored in .env files and excluded from version control using .gitignore.

---

🎯 Use Cases

CodeMate can be used for:

• Learning programming concepts
• Understanding coding logic
• Debugging beginner mistakes
• Practicing algorithmic thinking
• Improving problem solving skills

---

🚀 Future Improvements

Planned enhancements include:

• Streaming responses (typing effect)
• Code execution sandbox
• Multiple AI modes (Debug / Explain / Optimize)
• File upload for code analysis
• Deployment on Streamlit Cloud

---

👨‍💻 Author

Utsav Raj

AI / ML Enthusiast & Developer

GitHub: https://github.com/UtsavRaj1111

---

⭐ Support

If you found this project useful, consider starring the repository to support the project.