Build an AI Code Review Assistant with OpenAI and Streamlit

Transform your development workflow by building an intelligent AI-powered code review assistant that automatically analyzes code quality, identifies bugs, and suggests improvements. This practical course teaches you to combine Streamlit's rapid web development framework with OpenAI's advanced language models to create a comprehensive code review tool that rivals manual peer reviews. You'll learn to handle file uploads, process code of various sizes, and generate categorized feedback covering style conventions, error detection, and code clarity recommendations. The course emphasizes real-world application with proper error handling, user experience design, and deployment strategies that make your tool accessible to entire development teams. By the end, you'll have built a production-ready code review assistant that can be integrated into existing development workflows, saving time and improving code quality across projects.

Learning objectives
After completing this course, you will be able to build a complete AI-powered code review application using Streamlit and OpenAI that automatically analyzes code for style, errors, and clarity issues.
After completing this course, you will be able to integrate OpenAI's API with file upload functionality to process and review code submissions of various sizes and formats.
After completing this course, you will be able to customize AI prompts to generate categorized feedback focusing on specific code quality aspects like style guidelines, bug detection, and readability improvements.
After completing this course, you will be able to implement robust error handling for large files and invalid inputs while creating user-friendly interfaces for code review workflows.
After completing this course, you will be able to deploy and share automated code review tools on Streamlit Cloud, making them accessible to development teams and getting user feedback for continuous improvement.