ai-debugging-assistant

AI Debugging Assistant is a GitHub project that provides an AI-powered debugging assistant with a Streamlit interface. It analyzes source code and error messages to identify potential bugs, explain their root causes, and suggest possible fixes. The project is powered by Google Gemini and includes configurable AI model parameters. The application workflow begins when the user provides source code and an error message through the Streamlit interface. The application processes the input, creates a debugging prompt for the AI model, and Google Gemini analyzes the code and error. The assistant then returns an explanation and suggested fix in the UI. The tech stack includes Python, Streamlit, the Google Gemini API, Pydantic, YAML, and Git/GitHub. Installation instructions cover cloning the repository, creating a virtual environment, installing dependencies from requirements.txt, and configuring a Gemini API key in a .env file. The application is run with the command streamlit run main.py. An example input shows a list index error, and the assistant analyzes the code and error, identifies the cause, explains why it occurred, and suggests a possible fix. Future improvements listed include support for more programming languages, automated test case generation, code quality scoring, debugging history, security vulnerability detection, and online deployment.