The Linux kernel community is facing a significant debate over how to integrate AI-generated contributions while maintaining the project’s integrity. Sasha Levin, a prominent kernel developer at NVIDIA, has proposed guidelines for tool-generated submissions, aiming to standardize the handling of AI-assisted patches. The v3 iteration of the proposal, posted by Intel engineer Dave Hansen, underscores transparency and accountability, mandating that developers disclose AI involvement in their contributions. This move reflects broader industry concerns about the quality and copyright implications of machine-generated code.
Linus Torvalds, the creator of Linux, has weighed in on the debate, suggesting that AI tools should be treated no differently than traditional coding aids. Torvalds argues for no special copyright treatment for AI contributions, viewing them as extensions of the developer’s work. This pragmatic approach aligns with the kernel’s philosophy of innovation. The proposal, initially put forward by Levin in July 2025, includes a ‘Co-developed-by’ tag for AI-assisted patches, ensuring credit and traceability. Tools like GitHub Copilot and Claude are specifically addressed, with configurations to guide their use in kernel development. ZDNET warns that without an official policy, AI could ‘creep’ into the kernel and cause chaos.
The New Stack highlights how AI is already assisting kernel maintainers with mundane tasks, using large language models (LLMs) like ‘novice interns’ for routine work. Freeing experienced developers for more complex problems, the Linux kernel’s approach could set precedents for other open-source projects. With AI integration accelerating, projects within the Linux Foundation are closely watching the developments. Recent kernel releases, such as 6.17.7, include performance improvements that indirectly support AI applications, as noted in Linux Compatible.