Guidelines for AI-Assisted Contributions to the Linux Kernel
AI Summary
When integrating AI tools into Linux kernel development, it's crucial to adhere to established processes and legal requirements. AI tools must align with the standard kernel development protocols, such as coding style and patch submission guidelines. All contributions must be GPL-2.0-only compliant, and proper SPDX license identifiers should be used. Importantly, AI agents cannot add Signed-off-by tags; this responsibility lies solely with human developers, who must ensure all AI-generated code complies with licensing requirements and certify the Developer Certificate of Origin (DCO).
Attribution is key when AI tools are involved. Contributions should include an Assisted-by tag, detailing the AI agent's name, model version, and any specialized tools used. This helps track AI's evolving role in development. Basic tools like git or gcc need not be listed. By following these guidelines, developers can responsibly leverage AI in kernel development while maintaining accountability and transparency.
Key Concepts
AI-assisted development involves using artificial intelligence tools to aid in software development processes, enhancing efficiency and accuracy.
Licensing compliance ensures that software contributions adhere to legal and licensing agreements, protecting intellectual property rights and maintaining open-source integrity.
Category
TechnologyOriginal source
https://github.com/torvalds/linux/blob/master/Documentation/process/coding-assistants.rstMore on Discover
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