Article Info

Published 21 May 2025

Volume / Issue 1 / Issue 1

Pages 63–69

DOI

10.64823/ijter.2501009

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698 downloads

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Open Access Research Article

7 pages PDF

AI Powered Code Review System

by , ,

International Journal of Technology and Emerging Research 2025 , 1 (1) , 63–69

10.64823/ijter.2501009

Published: 21 May 2025

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Cite this article

APA

Mr. Sonti Ganesh, Mr. Nagaraju Vassey, & Mr. Manne Naga VJ Manikanth (2025). AI Powered Code Review System. International Journal of Technology and Emerging Research, 1(1): 63–69. https://doi.org/10.64823/ijter.2501009

MLA

Mr. Sonti Ganesh, et al. "AI Powered Code Review System." International Journal of Technology and Emerging Research, vol. 1, no. 1, 2025, pp. 63–69. https://doi.org/10.64823/ijter.2501009

Chicago

Mr. Sonti Ganesh, Mr. Nagaraju Vassey, Mr. Manne Naga VJ Manikanth. "AI Powered Code Review System." International Journal of Technology and Emerging Research 1, no. 1 (2025): 63–69. https://doi.org/10.64823/ijter.2501009

BibTeX

@article{Mr. Sonti Ganesh2025ai, 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 and Emerging Research}, year = {2025}, volume = {1}, number = {1}, pages = {63–69}, doi = {10.64823/ijter.2501009}, }

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: artificial intelligence, Code Review, Spring Boot, Hugging Face, Software Quality.

© 2025 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.