Cause there's still some variation among prompts. Right. But like, it's really, really hard to distill what should be merged into the project and whatnot. and then what's even worse is that like the confidence of that pull request is so high. Because the large language model is like, here's the best thing delivered to you on a golden plate. And then you start to peel, peel off the layers of the on the end and you're like, wow, even these tests are like hallucinated. Like none of this makes sense. Like it looks so real. Right. Like it's, wow, this is like the best thing ever. And then you start to run it and you're like, wait, why is that thing hard coded?

I mean, I, think, so here's my, here's my current issue with everything open source. we, we're, we're clearly training AI. That's okay. I mean, that's kind of like the AI companies are already giving open source companies, tons of free tokens, which is, you know, great. Like I have a free max. I have a free codex. I'm very grateful for that. I understand that we are producing the code, that they are training the next large language model on. And that's, I think it's fine. I mean, it's still violating the license, I guess, but, I think the problem is, that when entire open source repositories as it is right now gets overwhelmed with slop, it just destroys code quality.