> A team I talked to recently wired up an agent to do something simple: pull a metrics API every morning, reshape the JSON, and drop the result into a table. Clean idea. It worked on day one.

So a team of people with access to "intelligent" help did not immediately figure out that they could just have the model write a small script that does the job perfectly every time? That's "call a doctor" level of stupid that should be impossible in vivo. I'll believe a lot, but not this. The rest of the article is not much better - only an overexcitable LLM could believe anything there constitutes a deep insight worth writing down.

Do we need a new category for this sort of made-up, probably LLM-generated, garbage? Is this AI brainrot blogspam engineered to be upvoted by people who don't read the contents?

How do you not die of shame publishing something like this on your company blog?

Yes, from a programmer's perspective, this is insane. But the team may have been made up of people without coding experience who maybe didn't even know what a script was. I imagine there are a lot of people right now who "know AI" and not much else, for whom this would be a genuinely new insight...

Note that even before AI, there were a lot of manual data munging jobs that could famously be replaced by "a very small shell script".

I worry, this might become worse if we see the emergence of "100% nontechnical tech startups" where no one in the entire org knows how to code - because why would you, we have AI for that...

There’s a lot of teams out there who had to find a way to deploy agents to keep their jobs while working on problems like this that didn’t need them.

People and teams absolutely are doing really dumb and stupid stuff. And they could learn a lot from this article