Woah.

I hope this becomes common practice. It might even work as an interview question for hiring new candidates.

The docs say that none of the code has been reviewed or tested properly, so how serious is this for people to run in a production setup where many companies are going are not going to be super enthused that their production environment has been 'vibecoded' in a week? It just reads to me like a not-so-subtle middle finger to the Vercel guys.

On a side note, I find it extremely weird that the current AI era of software development is turning the state of the entire field into a reenactment of Lord of the Flies. Bizarre behavior all around from people who should know better.

"Use our proprietary SaaS and you too can approximate Next.js in 1/100 as much code using a bit of chicken wire and an LLM".

Whole thing sounded too good to be true, and it was.

The behavior isn't entirely the same and reaching 100% parity is a non-goal, but there are a few things to note.

This is still a very early implementation and there are undoubtedly issues with the implementation that weren't covered in next's original test suite (and thus not inherited) while not being obvious enough to pop up with all the apps we've tried so far.

As for why it's so much smaller, by building on top of Vite and their react + rsc plugins there is a whole lot of code that we don't need to write. That's where a significant portion of the LOC difference comes from.

> The result, vinext (pronounced "vee-next"), is a drop-in replacement for Next.js

"Drop-in" in my mind means I can swap the next dependency for the vinext dependency and my app will function the same. If the reality is that I have to spend hours or days debugging obscure edge cases that appear in vinext, I wouldn't exactly call that a drop-in replacement. I understand that this is an early version and that it doesn't have parity yet, but why state that it is a non-goal? For many of us, that makes vinext a non-choice, unless we choose to develop for vinext from the beginning.

Furthermore, if you're making a tool that looks almost like a well-known and well-documented tool, but not quite, how is gen AI going to be able to deal with the edge cases and vinext-specific quirks?