Linus Torvalds’s reported approach to AI is practical, not a blanket endorsement: use it where it helps, but keep human judgment in charge—especially when software is important and other people must maintain it. He has described AI as useful for personal or exploratory work and as a possible way into programming, while warning developers to be careful with consequential work.
What Torvalds means by using AI for things he is bad at
The headline captures a task-specific idea: AI can help with work that a developer finds difficult or unappealing, without taking over responsibility for the result. Reporting on Torvalds supports personal and exploratory uses, but not the claim that he delegates critical engineering wholesale to AI. The Stack’s October 9, 2026 account of his remarks at Open Source Summit Europe in Prague describes both his enjoyment of AI and his caution about using it for “something real and important.” That phrase is a short quotation reported by The Stack, not a full sentence verified against an event transcript.
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That distinction matters. A useful tool can help someone explore an idea or make programming more approachable; that does not make its output correct, safe, or ready to merge into software others rely on.
Why usefulness still depends on understanding the output
Torvalds has emphasized that developers need to understand what AI produces if they are responsible for maintaining it. In a May 21, 2026 report, TechRadar quoted him saying: “You need to understand not just your prompts, but you need to understand the end result too, because that’s the only way you can maintain it long term.” This is a quotation carried by secondary reporting, rather than a verified official transcript.
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In practice, that means AI can assist with a task, but it cannot remove the need to review the code, check how it behaves, and decide whether it belongs in a project. If a developer cannot explain or maintain a generated change, accepting it creates a future burden rather than solving the problem.
Helpful experimentation is different from critical software work
The stakes and the destination for AI-generated work change what responsible use looks like:
| Context | Potential value | What still needs human judgment |
|---|---|---|
| Personal or exploratory work | Try an idea, get unstuck, or make programming more approachable. | Check that the output does what you intended and that you can maintain it. |
| Software others depend on | AI may help with parts of the work, but the available reporting does not establish that Torvalds endorses handing critical development to it. | Review correctness and suitability before relying on or submitting the change. |
| Open-source project submissions | A well-founded contribution may be useful regardless of how it was created. | Avoid random, duplicative, or poorly handled submissions that consume maintainers’ time. |
The table is a distinction in task and responsibility, not a comparison of AI products. The reporting does not identify a tool or model Torvalds recommends.
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Why AI-generated patches can burden maintainers
AI can lower the effort required to produce code, but that does not guarantee a project will benefit from receiving more submissions. The Stack reports that AI-generated kernel patches have been disruptive and have stressed maintainers. Torvalds’s complaints about that burden sit alongside his support for useful applications of AI: the issue is not simply whether AI was used, but whether a contribution is technically worthwhile and responsibly prepared.
For contributors, the practical lesson is to treat a patch as a claim that must stand on its merits. A project’s maintainers still have to assess what a change does, whether it fits the project, and whether it is worth accepting. Volume alone is not a contribution.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.His position is not that Linux must reject AI
In a July 2026 Linux Media mailing-list post, Torvalds wrote: “AI is a tool, just like other tools we use. And it’s clearly a useful one.” The same post said: “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.” These statements are reproduced by Simon Willison’s July 16, 2026 post; The Register also reported on the mailing-list position. The point is that Linux should assess work by technical merit, not reject it solely because AI was involved.
That position is compatible with caution. A project can accept useful work made with AI while refusing changes that are incorrect, low-value, or costly to review. It also leaves the responsibility for understanding and maintaining a change with the people proposing and accepting it.
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What developers can take from his approach
- Use AI to explore or assist with a task, not as a substitute for knowing what the finished result does.
- Match the level of review to the consequences of getting the work wrong.
- Before proposing a change to a shared project, make sure it is useful, non-duplicative, and understandable to maintainers.
- Do not infer an endorsement of a specific AI product or a general productivity claim from Torvalds’s remarks; the reporting establishes neither.
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