
Linux Kernel Could Soon Expose Every Line AI Helps Write 9
BrianFagioli shares a report from NERDS.xyz: Sasha Levin, a respected developer and engineer at Nvidia, has proposed a patch series aimed at formally integrating AI coding assistants into the Linux kernel workflow. The proposal includes two major changes. First, it introduces configuration stubs for popular AI development tools like Claude, GitHub Copilot, Cursor, Codeium, Continue, Windsurf, and Aider. These are symlinked to a centralized documentation file to ensure consistency. Second, and more notably, it lays out official guidelines for how AI-generated contributions should be handled. According to the proposed documentation, AI assistants must identify themselves in commit messages using a Co-developed-by: tag, but they cannot use Signed-off-by:, which legally certifies the commit under the Developer Certificate of Origin. That responsibility remains solely with the human developer.
One example shared in the patch shows a simple fix to a typo in the kernel's OPP documentation. Claude, an AI assistant, corrects "dont" to "don't" and commits the patch with the proper attribution: "Co-developed-by: Claude claude-opus-4-20250514." Levin's patch also creates a new section under Documentation/AI/ where the expectations and limitations of using AI in kernel development are laid out. This includes reminders to follow kernel coding standards, respect the development process, and understand licensing requirements. There are things AI often struggles with.
One example shared in the patch shows a simple fix to a typo in the kernel's OPP documentation. Claude, an AI assistant, corrects "dont" to "don't" and commits the patch with the proper attribution: "Co-developed-by: Claude claude-opus-4-20250514." Levin's patch also creates a new section under Documentation/AI/ where the expectations and limitations of using AI in kernel development are laid out. This includes reminders to follow kernel coding standards, respect the development process, and understand licensing requirements. There are things AI often struggles with.