BugFixerAI is an innovative tool that leverages Large Language Models (LLMs) to identify and fix bugs in code across multiple programming languages. The project consists of two main components:
Web-based Interface:
Provides an interactive environment to compile, analyze, and debug code.
VSCode Extension:
Automatically detects and repairs runtime bugs (e.g., path errors, segmentation faults, logical flaws) using LLM-based insights.
The primary goal of BugFixerAI is to offer a seamless debugging experience, enabling both manual and automatic code repair with high precision.
Features
Website
Multilingual Online Compiler:
Write, execute, and test code in multiple languages directly from the browser with fast, reliable output—ideal for hands-on learning and prototyping.
Intelligent Code Analyser:
Interprets code logic to detect potential issues such as logical errors, bad practices, or edge cases before they become bugs, while explaining the reasons behind these issues.
Interactive Debugger (LLM-Powered):
Connects to a local LLM-based API, acting as an intelligent code companion that helps users fix bugs and explore alternative implementations.
VSCode Extension
On-the-Fly Static Code Analysis:
Integrates directly into VSCode to automatically analyze the active file, highlighting inefficiencies, bad practices, and hidden bugs without switching contexts.
Context-Aware File Detection:
Automatically recognizes and analyses the open file based on its language and structure, providing dynamic insights and intelligent suggestions.
