If you think you can identify frontier model-generated planned and reviewed c/c++ from human-generated planned and reviewed c/c++, I've got some bad news for you.
The "no slop" policy is the same as it ever was: garbage has to make it through patch code review. If an LLM wrote it rather than a human and it passes patch review, it's fine. Rejecting features or fixes because a probabilistic algorithm said "should look like this" feels a lot like rejecting c/c++ because you read Intel's docs and have a hex editor.
Totally inaccurate comparison. Garbage dumped on the side of the road is still garbage. It's more like if someone dumped lab-grown diamonds on the side of the road that are virtually indistinguishable from mined diamonds. Someone would be happy to take them and none the wiser.
> It's more like if someone dumped lab-grown diamonds on the side of the road that are virtually indistinguishable from mined diamonds.
Equating LLM generated code to "lab-grown diamonds" is disingenuous at best.
> Someone would be happy to take them and [be] none the wiser.
If the quality of GenAI PRs were equivalent to those authored by experienced contributors, then there would not be as many GenAI PR bans in FOSS operating system repositories.
The quality of GenAI PRs scales with the driver. Many are low-effort, ill-considered, overly verbose and otherwise bad. I've seen decades of similar patches/PRs from humans.
If it "looks like claude" in that it's overly verbose (in code or comments), missing tests, etc then it should be rejected for lack of merits. If the only indication is "this user fixed 10 bugs in an hour" and the PRs are otherwise fine on the merits, rejecting the PRs because an LLM wrote them is the same as rejecting them because you know they're from an emacs user.
The "no slop" policy is the same as it ever was: garbage has to make it through patch code review. If an LLM wrote it rather than a human and it passes patch review, it's fine. Rejecting features or fixes because a probabilistic algorithm said "should look like this" feels a lot like rejecting c/c++ because you read Intel's docs and have a hex editor.
Edit: s/like like/look like/
Let us just allow it!
Equating LLM generated code to "lab-grown diamonds" is disingenuous at best.
> Someone would be happy to take them and [be] none the wiser.
If the quality of GenAI PRs were equivalent to those authored by experienced contributors, then there would not be as many GenAI PR bans in FOSS operating system repositories.
If it "looks like claude" in that it's overly verbose (in code or comments), missing tests, etc then it should be rejected for lack of merits. If the only indication is "this user fixed 10 bugs in an hour" and the PRs are otherwise fine on the merits, rejecting the PRs because an LLM wrote them is the same as rejecting them because you know they're from an emacs user.