🤖 AI Coding Assistant

An intelligent assistant designed to simplify programming by offering real-time help on coding queries, giving precise answers, and generating code snippets to boost productivity. This assistant uses a hybrid Retrieval-Augmented Generation (RAG) model to analyze code files (.py, .c, .cpp, etc.) and answer questions based on the code content.

Key Features

• ✅ Code-based Answers: Provides context-aware responses by examining and understanding the code in your files.
• ❓ Programming-Specific Q&A: Restricted to only programming-related questions, delivering expert responses on various programming languages.
• 📜 Embedded RAG Model: Integrates a hybrid RAG model for storing and retrieving detailed programming knowledge from custom file inputs.
• 🔍 Advanced Search and Recall: Uses Redis for efficient data retrieval and OpenAI embeddings for relevance ranking.
• 🧩 Interactive Console: Simple and interactive user interface powered by Streamlit for ease of use.

Technologies Used

• 🤖 OpenAI's gpt-4o for natural language understanding and response generation.
• ⚙️ text-embedding-3-small for code and query embeddings.
• 🧩 Streamlit for the front-end interface.
• 📅 Redis for quick, indexed access to knowledge base entries.
• 🐍 Python for core application logic.

Getting Started

AI Coding Assistant has been deployed here: https://aicodingassistant.streamlit.app/

HOW TO USE:

1. Upload Code Files: Load your code files to initialize the assistant’s knowledge base.
2. Ask Programming Questions: Type a coding question related to your files or general programming.
3. Receive Code-Specific Answers: The assistant will respond with context-based answers, code snippets, or explanations, drawing information from the loaded code files.

Demo Video

Watch this video on YouTube

Creators

V Kamal Jerome | Shakthireka Karthikeyan | Kopika M | Deepesh Raj AY | Ashirvad Janardanan V