It seems to me like we have the answers to all those questions.

- Do we know which projects people work on?

It's pretty easy to discover that OP works on https://livox.com.br/en/, a tool that uses AI to let people with disabilities speak. That sounds like a reasonable project to me.

- Do we know which codebases (greenfield, mature, proprietary etc.) people work on

The e2e tests took 2 hours to run and the website quotes ~40M words. That is not greenfield.

- Do we know the level of expertise the people have?

It seems like they work on nontrivial production apps.

- How much additional work did they have reviewing, fixing, deploying, finishing etc.?

The article says very little.

> The article says very little.

And that's the crux, isn't it. Because that checklist really is just the tip of the iceberg.

Some people have completely opposite experiences: https://news.ycombinator.com/item?id=45152139

Others question the validity of the approach entirely: https://news.ycombinator.com/item?id=45152668

Oh, don't get me wrong: I like the idea. I would trust LLMs with this idea about as far as I could throw them.