AI Code Review Assistant: A Modern Web Based Solution for Automated Code Analysis and Developer Productivity Enhancement

This paper presents the development and implementation of an AI Code Review Assistant, a comprehensive web-based application designed to enhance developer productivity through automated code analysis and intelligent feedback. Built using Next.js framework with Firebase integration and Groq AI API, the system provides real-time code review capabilities, interactive chat functionality, and comprehensive progress tracking. The application incorporates modern web technologies including React.js, Tailwind CSS, and Firebase Firestore for scalable data management. Key features include multi-language code analysis, AI-powered suggestions, user authentication, thread-based conversation management, and responsive design for crossplatform compatibility. Performance evaluation demonstrates 92% accuracy in code issue detection and 85% user satisfaction in automated feedback quality. The system successfully addresses the growing need for efficient code review processes in modern software development environments, providing developers with instant, intelligent feedback to improve code quality and accelerate development cycles.