Artificial Intelligence is rapidly transforming software engineering, extending beyond code generation into code quality, security, governance, and engineering productivity. As organizations increasingly adopt AI-assisted development, traditional code review processes are struggling to keep pace with growing code volumes, accelerated release cycles, and the emergence of AI- generated code. This presentation explores how AI-powered code review solutions can augment human expertise by identifying defects, security vulnerabilities, architectural concerns, performance issues, and compliance risks earlier in the development lifecycle. The session presents a practical framework for integrating AI into enterprise code review workflows while maintaining human accountability and engineering governance. Attendees will learn how leading organizations are leveraging AI-assisted reviews to improve code quality, reduce review cycle times, enhance developer productivity, and strengthen security posture. The presentation also examines key challenges, including false positives, explainability, governance, intellectual property considerations, and responsible AI adoption.
Speaker(s): Himanshu Pathek
Agenda:
6:25 to 6:35 PM – Open for participants to enter and network.
6:35 to 6:40 PM – IEEE LM and CTCN Business meeting and to introduce speaker.
6:40 to 7:55PM – Formal Program and Q&A.
Virtual: https://events.vtools.ieee.org/m/562284