You might be underestimating the effect that corporate policies and culture have on the product.

Some teams have a push now to go all in on AI; don't even look at the code. I've seen this in action and the results are probably what you'd expect. Works great at some level, but as complexity accumulates (especially across a team with different "technical vocabularies"), the end result is compounding complexity and mistakes and no person or team knows how the software actually works.

No human testing of software or QA; unit + integration + give AI control over the browser/tool. Yes, this how some teams are moving forward now. So some of this may be that Anthropic's culture will end up causing shifts in how the Bun team operates and thinks.

If this type of culture and mindset becomes the norm, I think either the models have to get a lot better or the software quality is going to decline.

Matt Pocock has a great talk here: https://youtu.be/v4F1gFy-hqg

    "Code is not cheap. Bad code is the most expensive it's ever been. Because if you have a codebase that's hard to change, you're not able to take advantage of all of the bounty that AI can offer.  Because AI in a good codebase actually does really, really well."

Once bad code starts to compound on itself, it's going to be really hard to break out of it.