Debating the role of large language models in the kernel community (lwn.net)

The kernel community is in active debate over the role of large language models (LLMs) in their development processes, particularly in the context of a newly established “Assisted-by” tag that documents when code submissions are generated or partially generated by LLMs. Introduced in preparation for the Linux kernel 7.0 release, this tag aims to facilitate transparency and improve code review practices by indicating which LLM was involved in creation. However, the efficacy and necessity of this requirement are widely contested. Many developers have begun to disregard the tag or prefer removing specific model identifiers to avoid potential legal complications, reflecting concerns over dependency on proprietary tools and the ethical implications of their use. Moreover, as LLM adoption grows, particularly for code reviews, questions arise about the long-term effects on developer skills and community reliance on these tools. While some advocate for continued use of LLMs to enhance productivity, others warn about a potential skills gap if such tools were to become unavailable. The community worries that excessive reliance on proprietary infrastructure could lead to vulnerabilities, recalling past incidents with sudden shifts in tool availability. Discussions are set to continue at the upcoming Maintainers Summit, signaling that the future role of LLMs in the kernel community remains uncertain and will require a careful balance between innovation and caution.