CodeBuddy - AI-Powered Code Assistant

Overview

CodeBuddy is an AI-powered code assistant designed to streamline coding tasks with an integrated development environment (IDE). It leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to provide intelligent code assistance, including correction, completion, optimization, generation, commenting, explanation, and LeetCode problem-solving.

Key Features

• AI-Powered Code Assistance: Get real-time help with code correction, completion, optimization, and generation.
• LeetCode Solver: AI-generated solutions for coding problems.
• Code Shortener: Simplify and refactor your code efficiently.
• Multi-Language Support: Supports Currently C, C++. But Later It will Upgrade for Java, Python, and more.
• Semantic Search: Retrieve relevant documentation and code snippets using embeddings.
• Interactive IDE: Includes a file explorer, code editor, and output console.
• Auto-Save: Ensures your work is saved at regular intervals.
• Customizable AI Assistants: Tailor AI assistance to specific tasks.

Installation

Prerequisites

• Python 3.8 or higher
• SQLite3
• PyQt6
• Ollama (for local LLM integration)-qwen2.5-coder:7b,deepseek-r1:8b,llava:latest
• Sentence Transformers

Setup Instructions

1. Clone the repository:

   git clone /~https://github.com/Mahbub2001/CodeBuddy.git
   cd CodeBuddy

2. Install dependencies:

   pip install -r requirements.txt

3. Set up the database:

   python ingest.py

4. Run the application:

   python ui.py

Usage

1. Launch the IDE: Run python ui.py to start CodeBuddy.
2. Open or Create a File: Use the file explorer to manage your files.
3. Write Code: Utilize the editor for writing and modifying code.
4. Use AI Assistance: Select an AI assistant and enter a prompt for real-time suggestions.
5. Run Code: Click "Run" to execute your code and view output in the console.

File Structure

CodeBuddy/
│-- main.py        # Core logic for AI assistance
│-- ui.py          # IDE UI implementation
│-- ide.py         # Main IDE functionality with code execution. Currently working for C language
│-- sidebar.py     # File explorer management
│-- database.py    # Handles database operations
│-- prompts.py     # Contains predefined AI prompt templates
│-- README.md      # Project documentation

Configuration

• Language Selection: Choose a programming language from the dropdown menu.
• Assistant Selection: Pick an AI assistant (e.g., Code Correction, Completion, Generation).
• Auto-Save: Adjust auto-save settings in ui.py.

License

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

Acknowledgments

• PyQt6 for the GUI framework.
• Ollama for local LLM integration.
• Sentence Transformers for text embeddings.

Upcoming Work

• Implement Web scraping for Knowledge
• Fine Tune LLM
• Another New Features