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GRENZE International Journal of Engineering and Technology Vol. 12 (2026), Issue 1

Code Reviewer: Intelligent Code Review System using AI APIs for Feedback, Rating, and Refactoring

Authors

G G Sreeja, Karthik S, N. Ashokkumar, Vishal Kumar S, Tamilkumaran N

Abstract

Code quality is central to the efficiency, maintainability, and scalability of software systems. Traditional manual code reviews, as effective as they are, are resource-inefficient, inconsistent, and prone to human error. Code Reviewer, a multi-language code review tool backed by AI to automate and enhance the review process, is presented in this paper. The software integrates multiple publicly accessible large language models (LLMs) like Gemini, DeepSeek, and Claude to review code, suggest improvement, provide ratings for quality, and produce optimized code. Developers can submit code in various programming languages through an easy web interface and receive model-specific real-time feedback. Comparative analysis of AI output for the selection of the most suitable result is also supported by the system. Deployed using React.js at the frontend and Node.js at the backend, the solution employs AI APIs to provide an affordable, smart, and automated code review platform.