AI Powered Code Review System

This paper presents an AI-powered code review system designed to assist developers by providing real-time, intelligent feedback on software code. The system integrates advanced language models via OpenAI and Hugging Face APIs within a secure Java Spring Boot backend, using AES-256 encryption for data privacy and JWT for secure user authentication. A key feature is its intelligent fallback mechanism: when OpenAI is unavailable, the system seamlessly switches to Hugging Face, ensuring high availability and responsiveness. The frontend, built with React.js, offers a smooth and interactive user experience. Evaluation results show the system delivers over 90% accurate and relevant feedback, with average response times under 2 seconds. This solution supports developers by automating routine review tasks while preserving human oversight, ultimately enhancing code quality and accelerating development workflows.

@article{ijter2025212505212153,
  author = {Mr. Sonti Ganesh and Mr. Nagaraju Vassey and Mr. Manne Naga VJ Manikanth},
  title = {AI Powered Code Review System},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2025},
  volume = {1},
  number = {1},
  pages = {63-69},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212505212153/ai-powered-code-review-system},
  abstract = {This paper presents an AI-powered code review system designed to assist developers by providing real-time, intelligent feedback on software code. The system integrates advanced language models via OpenAI and Hugging Face APIs within a secure Java Spring Boot backend, using AES-256 encryption for data privacy and JWT for secure user authentication. A key feature is its intelligent fallback mechanism: when OpenAI is unavailable, the system seamlessly switches to Hugging Face, ensuring high availability and responsiveness. The frontend, built with React.js, offers a smooth and interactive user experience. Evaluation results show the system delivers over 90% accurate and relevant feedback, with average response times under 2 seconds. This solution supports developers by automating routine review tasks while preserving human oversight, ultimately enhancing code quality and accelerating development workflows.},
  keywords = {Code Review, Artificial Intelligence, Spring Boot, Hugging Face, Software Quality.},
  month = {May},
}

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.