this post was submitted on 23 Jun 2026
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I'll preface by saying I'm heavily against anything LLM generated and in a perfect world we'd have a full clean divide, just so my comment can be viewed in context.
I can't speak to them all but I would not count Jellyfin as coded by AI based on their standards. Yes, people have likely used LLM "tools" to write code they submit, but they expect a human to understand the code/request, understand it's purpose, what the code is doing, and explain the PR. A human is expected to fully own the work.
There's no way to enforce that as much as I wish, but I think it's a fair distinction between what would get an [AI] tag and and [Not AI] tag. Is a human expected to fully own and understand it, or is LLM code just accepted as is without full oversight and understanding.
Fair. So we're talking about slop - and to that I agree.
Next question then becomes: does [AI] meta-tag in any way help you discern slop from non slop? There are comments and proposals in favour of it.
The counter argument is - slop is obvious...and even if it isn't (and you're going stick the thing on your own rig), you should probably do your due diligence first...which will uncover issues.
At which point, a scarlett letter isn't going to do anything useful, and may unfairly tarnish projects.
That 97% stat was from 2 years ago. It's surely higher now.
I don't think [AI] tag works, for a number of reasons, as others have identified. But the topic keeps popping up here and there, so it's worth mulling over.
I refer to my original point I personally think anything LLM generated is slop and would certainly prefer to have literally any and every LLM generated code marked so I can avoid it. I do consider it all slop.
I also recognize that isn't how the world works unfortunately.