AI-Powered Code Review and Vulnerability Detection in DevOps Pipelines

As software development increasingly relies on rapid and iterative deployment cycles, ensuring the security and quality of code has become paramount in DevOps pipelines. Traditional code review processes and vulnerability detection methods often struggle to keep pace with the high velocity of modern development workflows. Artificial Intelligence (AI) presents a transformative solution, offering advanced capabilities in automated code analysis and real-time vulnerability detection. This paper explores the integration of AI-powered tools in DevOps pipelines, focusing on their role in enhancing code quality, identifying vulnerabilities early in the development lifecycle, and reducing human error. By investigating both the technical mechanisms and practical implications, this research provides insights into how AI can revolutionize DevOps security and code quality.