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Another highly influential Linux kernel engineer, David Hildenbrand, is leaving Red Hat after a decade of major contributions to memory management, virtualization, and VirtIO. His recent kernel patch updates his maintainer info to a kernel.org address, signaling his departure. He hasn't yet said where he's headed next. Phoronix reports: David Hildenbrand serves as a reviewer for the HugeTLB code, s390 KVM code, and memory management reclaim code. He also serves as an upstream maintainer for the Linux kernel's core memory management code, Get User Pages (GUP) memory management code, kernel samepage merging (KSM), reverse mapping (RMAP), transparent hugepage (THP), memory advice (MADVISE), VirtIO memory driver, and VirtIO balloon driver. Hildenbrand had been employed by Red Hat the past decade in Munich working on QEMU/KVM virtualization, Linux kernel memory management, VirtIO, and related low-level areas. Just this year alone so far in 2025 he's authored or been mentioned on more than one thousand mainline Linux kernel patches.

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Linux kernel maintainers "are grappling with how to integrate AI-generated contributions without compromising the project's integrity," reports WebProNews: The latest push comes from a proposal by Sasha Levin, a prominent kernel developer at NVIDIA, who has outlined guidelines for tool-generated submissions. Posted to the kernel mailing list, these guidelines aim to standardize how AI-assisted patches are handled. According to Phoronix, the v3 iteration of the proposal [posted by Intel engineer Dave Hansen] emphasizes transparency and accountability, requiring developers to 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, advocating for treating AI tools no differently than traditional coding aids. As reported by heise online, Torvalds sees no need for special copyright treatment for AI contributions, stating that they should be viewed as extensions of the developer's work. This perspective aligns with the kernel's pragmatic approach to 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. OSTechNix details how tools like GitHub Copilot and Claude are specifically addressed, with configurations to guide their use in kernel development... ZDNET warns that without official policy, AI could 'creep' into the kernel and cause chaos... The New Stack provides insight into how AI is already assisting kernel maintainers with mundane tasks. According to The New Stack, large language models (LLMs) are being used like 'novice interns' for drudgery work, freeing up experienced developers for complex problems... The Linux kernel's approach could set precedents for other open-source projects. With AI integration accelerating, projects like those in the Linux Foundation are watching closely... Recent kernel releases, such as 6.17.7, include performance improvements that indirectly support AI applications, as noted in Linux Compatible.

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