I work at a company that is forcing us to use AI as much as possible for our coding work. I did 1 month's of work in 1 day last week. A few hiccups, but the slop works as expected. From where I sit, the hype is real.

Well, roughly half developers are below the average. LLM code is good enough for them, but now such developers can add technical debt faster. Sorry, but if you don't see the issues with the code LLM generates....

I will let a principal of engineering at google do the talking for me:

> I'm not joking and this isn't funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, not everyone is aligned... I gave Claude Code a description of the problem, it generated what we built last year in an hour.

src: https://x.com/rakyll/status/2007239758158975130

exactly. i posted about the same thing today https://x.com/twitter/status/2025949280251597291

It's an accelerant, both good and bad. How that plays out in companies where the majority are below-average is a nuanced and concerning case