CODE SENTINEL
Abstract
Software development is becoming increasingly complex, making early detection of bugs, security vulnerabilities, and code-quality issues essential for reliable applications. Code Sentinel is an AI-powered platform designed to analyse source code and identify potential software defects and security risks. The system detects issues and classifies them based on their severity and location. It provides AI-based explanations to help developers understand the causes of detected problems and suggests suitable improvements. The platform also generates a structured report containing the identified issues and recommendations. Code Sentinel can be integrated with CI/CD pipelines to automatically analyse code before deployment. The proposed system aims to reduce manual code-review effort and promote secure, reliable, and maintainable software development.
References
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“Integration of Large Language Models (LLMs) and Static Analysis for Improving the Efficacy of Security Vulnerability Detection in Source Code,” Computers, Materials & Continua, vol. 86, no. 3, 2026, doi: 10.32604/cmc.2025.074566. ScienceDirect
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