CODE REVIEW ASSISTANT (SPOTS BUGS, SUGGESTS FIXES)

Abstract

The Code Review Assistant is an AI-powered software tool designed to analyze source code, identify potential bugs, and suggest suitable fixes. Code review is an important part of software development because it helps developers identify errors, security issues, performance problems, and coding-quality concerns before software is deployed. However, manually reviewing large amounts of code can be time-consuming and may cause developers to overlook certain issues. The proposed system uses Artificial Intelligence, Natural Language Processing, Static Code Analysis, and Large Language Models to examine source code. Users can upload or paste code into the system and select the programming language being used. The system analyzes the code and identifies syntax errors, logical problems, inefficient code patterns, possible security vulnerabilities, and maintainability issues. After detecting potential problems, the system provides explanations for the identified issues. An AI-based recommendation module suggests possible corrections and can generate improved code snippets. The assistant explains why an issue may occur and provides guidance on how the developer can resolve it. This makes the system useful not only for debugging but also for learning better programming practices. The system can also classify detected issues based on categories such as Bug, Security, Performance, Code Quality, and Best Practice. Developers can review the detected issues through an interactive interface and compare the original code with the suggested corrected version. The user remains responsible for reviewing and testing any AIgenerated changes before applying them. Overall, the Code Review Assistant aims to improve software quality while reducing the manual effort involved in code review. It can support individual developers, students, software teams, and organizations by providing faster and more consistent code analysis. Future enhancements can include repository integration, pull-request review, multi-language support, automated testing, security scanning, and continuous code-quality monitoring.