No, I don't think it is. There's more nuance to this debate than either "we're banning all LLM code" or "all of our features are vibe coded".
A blanket ban on unreviewed LLM code is a perfectly reasonable way to mitigate mass-produced slop PRs, but it is not reasonable to ban all code generated by an LLM. Not only is it unenforceable, but it's also counterproductive for people who genuinely get value out of it. As long as the author reviews the code carefully before opening a PR and can be held responsible, there's no problem.
When there's a grey zone then there will be lots of pointless discussions like "why was this AI-generated PR accepted but not mine" etc etc...
However, I don't think that banning all AI-generated code is reasonable. Having an LLM generate a couple of functions or a bit of boilerplate in an otherwise manually coded PR should not invalidate it from being accepted if it's helpful.
What people don't like about LLM PRs is typically:
a. The person proposing the PR usually lacks adequate context and so it makes communication and feedback, which are essential, difficult if not impossible. They cannot even explain the reasoning behind the changes they are proposing, b. The volume/scale is often unreasonable for human reviewed to contend with. c. The PR may not be in response to an issue but just the realization of some "idea" the author or LLM had, making it even harder to contextualize. d. The cost asymmetry, generally speaking is highly unfavorable to the maintainers.
At the moment, it's just that LLM driven PRs have these qualities so frequently that people use LLM bans as a shorthand since writing out a lengthy policy redescrbiing the basic tenets of participation in software development is tedious and shouldn't be necessary, but here we are, in 2025 when everyone has seemingly decided to abandon those principles in favor of lazyily generating endless reams of pointless code just because they can.
LLMs reduce the effort to create a plausible PR down to virtually zero. Requiring a human to write the code is a good indicator that A. the PR has at least some technical merit and B. the human cares enough about the code to bother writing a PR in the first place.
The vast majority of of LLM generated code that gets submitted in PRs on public GitHub projects is not that - see the examples they gave.
Reviewing all of that code on its merits alone in order to dismiss it would take an inordinate amount of time and effort that would be much better spent improving the project. The alternative is a blanket LLM generated code ban, which is a lot less effort to enforce because it doesn't involve needing to read piles and piles of nonsense.
Usually I hate quoting "laws" but think about it. I do agree that it would be awesome if we scrutinize 10+k lines of code to bring big changes but its not really feasible is it?
No, its pretty standard legal policy actually.
But it's fine to say "this PR makes no sense to me explain it better please" and close it.
LLMs jump at the first opportunity to use regex for EVERYTHING instead of doing proper lexing/parsing, for example. You need to repeatedly tell it not to use regex. In the end you might as well hand write your code, because you actually know how it works, unlike a clueless LLM.