writing/news/2026/07
NewsJul 18, 2026·6 min read

Linus Torvalds Declares Linux Kernel Is 'Not Anti-AI', Tells Critics to Fork Off

Linus Torvalds has ruled that AI coding tools are welcome in Linux kernel development, telling opponents they can fork the project. The statement marks a striking evolution for the creator who once dismissed most AI messaging as marketing hype.

Linus Torvalds has settled one of the most heated debates in open source. In a post to the Linux kernel mailing list on July 15, 2026, the creator of Linux declared that AI-powered coding tools are welcome in kernel development — and that developers who disagree are free to leave. "Linux is not one of those anti-AI projects, and if somebody has issues with that, they can do the open-source thing and fork it. Or just walk away," Torvalds wrote.

Key Highlights

  • Torvalds stated that AI is "a tool, just like other tools we use. And it's clearly a useful one," adding that its usefulness "may not have been that 'clearly' even just a year ago, but it's no longer in question today."
  • The ruling came in response to kernel developers pushing back against AI and LLM usage in the code review process, partly prompted by Software Freedom Conservancy recommendations.
  • AI adoption in the kernel remains voluntary: the project neither mandates nor forbids AI tools, but Torvalds will actively discourage attempts to prevent others from using them.
  • The statement follows the rise of Sashiko, an opt-in AI code-review system built by Google engineers and open-sourced in March 2026, which has become increasingly prevalent in kernel patch review.

Details

The message was posted in a linux-media thread where contributors had raised objections to AI-assisted contributions and review tooling. Torvalds framed his position as pragmatic rather than ideological: the kernel is a technology-driven project, not what he called a "social warrior" one, and tool choices should be judged on usefulness alone.

The catalyst for the wider discussion is Sashiko, a multi-stage AI code-review system that kernel subsystems can enable on a per-mailing-list basis. Since being open-sourced in March 2026, it has been adopted across a growing number of kernel mailing lists, where it analyzes incoming patches and flags potential bugs before human maintainers review them.

Torvalds was careful to keep the policy narrow. Nobody is required to use AI tooling, and maintainers retain full control over what lands in their subsystems. His objection is specifically to contributors who want to ban others from using AI or LLM-based workflows.

Impact

The declaration effectively ends the "should we allow AI?" debate for the most important open-source project in the world. The Linux kernel underpins Android, the majority of cloud infrastructure, and virtually every supercomputer, so its norms carry enormous weight across the industry. Other open-source projects that have adopted anti-AI contribution policies now face a prominent counter-example.

For maintainers, the conversation shifts from prohibition to process: how to review AI-assisted patches at scale, how to handle false positives from automated review, and how to keep the burden on human reviewers manageable.

Background

The statement marks a remarkable evolution for Torvalds. In October 2024, he dismissed roughly 90 percent of AI messaging as marketing hype. As recently as May 2026, he complained that AI-generated bug reports had made the kernel's security mailing list "almost entirely unmanageable." His firsthand experience with modern coding tools — including using AI assistance on his personal AudioNoise audio project in early 2026 — appears to have shifted his assessment of where the technology genuinely adds value.

That history makes the endorsement more significant, not less: one of the software industry's most famously skeptical voices now says the usefulness of AI tools is "no longer in question."

What's Next

Expect the kernel community to focus on guardrails rather than gatekeeping: expanding automated review coverage, defining accountability for AI-assisted patches, and reducing the noise that AI-generated reports can create for maintainers. How the kernel balances those concerns will likely become the reference model for large open-source projects everywhere.


Source: Linux Kernel Mailing List