Non AI code has been crashing down for decades, controlled chaos, continuous improvement. We have lots of tools to put metrics on that, and AI assisted code is fairly well crushing those metrics. It’s not 100% self sufficient code creation Nirvana, but it might be fairly compared to the Cotton Gin in terms of making the field workers more productive in the delivery of market ready code/cotton.

We have lots of tools to put metrics on that, and AI assisted code is fairly well crushing those metrics.

You mean more lines of code?

Are you trying to make a joke or a serious contribution

Not all metrics are good. LOC is about as bad as they get.

Bugs per merge is a much better one.

that was previous commenter’s point. you missed it. LLM coding assistants are for people who can’t think their way through an algorithm.

Non AI code has been crashing down for decades,

i.e. the code that made literally everything until a few years ago? That was crashing?

Yes

Yes, which means most every code crashes at some point. Whether it is made by humans or not.

the code that made literally everything until a few years ago? That was crashing?

Quite a bit more than it should.

but it might be fairly compared to the Cotton Gin in terms of making the field workers more productive in the delivery of market ready code/cotton.

Last i heard was that developers FELT like it made them more productive but actually not so much.

Last i heard was that developers FELT

Several of those studies were published on early 2025 data, LLM agents have been rapidly improving since then. In early 2025 I would agree with the sentiment - it was kind of equivocal for overall productiveness. By early 2026 I’d say it was a much clearer advantage, both in doing the same kind of work faster, but more importantly: in doing better work at the same speed or even a little faster.

and AI assisted code is fairly well crushing those metrics.

Lol. You have zero understanding of efficient coding, don’t you?