I have a team of devs proving a significant increase in velocity while maintaining quality.

But it’s private corporate work so I can only suggest you keep an open mind and actually research the effectiveness of GrnAI in application construction.

I mean, 8 months ago Anthropic made Claude build a C compiler autonomously, and the crowd came to the autonomous repo and threw a shitposting party making fun of the build failing for some time (it fixed itself in a few days but nobody cared anymore, partying was the entire point). Half a year later we had people porting huge million-LoC projects to different platforms, they run and literally have bug-to-bug parity. It's tedious work that doesn't need deep thinking but has clearly defined goals and can be iterated upon, so it's a good fit for current AI. If your expectation of vibecoded software is it doesn't actually work (as you said above) then you really need to update it. Internals might be a horror, but it does work and it's not broken. This wasn't the case a few months ago.