[$] On the use of LLM assistants for kernel development

By some appearances, at least, the kernel community has been relatively
insulated from the onslaught of AI-driven software-development tools.
There has not been a flood of vibe-coded memory-management patches — yet.
But kernel development is, in the end, software development, and these
tools threaten to change many aspects of how software development is done.
In a world where companies are actively pushing their developers to use
these tools, it is not surprising that the topic is increasingly prominent
in kernel circles as well. There are currently a number of ongoing
discussions about how tools based on large language models (LLMs) fit into
the kernel-development community.