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In This Issue
Impact of Technology in Human life
Dr. Rishika Verma
Inoperative Awards
Prof. Sakshi Kothari
Data-Driven Economics: A New Era
Dr. Debdas Mondal
Exploring Preferences and Attitudes: A Study on Digital Device Usage among Learners in Diverse Educational Settings
Dr. Binayak Chanda
Continuous Glucose Monitoring in Elderly Diabetes Management: Technologies, Trends, and Regional Perspectives
Mr. Jinit Patel
Effect of Powder Particle Size and Charging Efficiency on Film Build and Surface Finish
Mr. Swapnil Sanju Bhalerao
AI Powered Code Review System
by Mr. Sonti Ganesh , Mr. Nagaraju Vassey , Mr. Manne Naga VJ Manikanth
International Journal of Technology & Emerging Research 2025 , 1 (1) , 63–69
10.64823/ijter.2501009Abstract
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.
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