Open Source Summit North America 2025

Beyond the hype, AI is already impacting Linux kernel engineering workflows. This talk presents concrete examples from real-world applications in Linux kernel LTS maintenance and CVE assignment processes. We'll examine where AI tools have meaningfully improved development processes and where they fall short.
Drawing from hands-on experience, we'll demonstrate how AI assists in analyzing patches for LTS kernel trees and streamlines vulnerability classification workflows. We'll share specific metrics showing both successes and limitations, focusing on practical applications rather than theoretical possibilities. We'll also explore emerging opportunities where AI could enhance kernel development while maintaining high engineering standards.
This technical session provides kernel developers, maintainers, and engineering leaders with actionable insights for integrating AI tools into their workflows while preserving the rigor of kernel development practices.