But what is the purpose? When you rewrite a project in another language, it's for engineers to be able to maintain and further develop the project better on some metrics due to advantages of the language. It doesn't hold when LLM does the rewrite, since there is no one who understands the code after that.

It's a good demonstration of capabilities, sure, but the result itself makes no sense. We'll have to figure out where these capabilities can bring real advantage

I disagree with calling this bad faith. For instance:

* I can agive you one quarter of amazing profits, if you let me dismantle and sell all the assets of a company.

* I can give you a few years of incredible food production, if you let me strip a rainforest and plant commercial crops.

* I can give you incredibly cheap energy, if you let me mine non renewing fossil fuels from the earth.

The context of why something is possible matters. In this case, because a very large and comprehensive test suite was seen as a necessity to specify a successful project (managed by humans). I do not believe a LLM coded project could ever have made such a test suite. In this case, the LLM is consuming the result of expensive human labor (the test suite) to make what ultimately is a minor variation to it (the implementation language).

> This is such a bad faith argument. How long would it take a dev or a team of devs to do this with the same architecture and test suite? A hell of a lot longer than 6 days..

Pocket calculator also can multiply numbers much faster than engineer, it doesn't make it engineer itself..

You missed the point.

People want to use stuff like this as somehow evidence for AI being able to write entire software systems in a few days. We saw the same shit with the "compiler" they made with a bunch of agents. Literally the only reason it's possible is because the hundreds of thousands of man hours and God knows how much money that was poured into the reference projects befoes the AI got anywhere near it.

To replicate this kind of thing with a green field project would take an absolute ton of spec work and requirements derivation, which will substantially eat into any savings from having AI generate it.

The accomplishment itself is interesting, and unlocks opportunities to do work no one would have bothered with before, but it doesn't represent what a lot of people desperately want it to.