And it's not just a volume problem.

Mediocre devs previously couldn't complete a project by themselves and were forced to solicit help and receive feedback along the way.

When all managers care about is "shipping", development becomes a race to the bottom. Devs who used to collaborate are now competing. Whoever gets the slop into the codebase fastest, wins.

"Self-sufficiency" arguments coming from tech nerds are so tiring.

When LLMs appeared it was just so much easier to use then as an uber model and leave behind the training and inference infrastructure (if you can even call it that).

Now that LLMs can code I expect we'll be coding up custom model pipelines more and more... but only when we stop subsidizing LLMs.

LLMs make developers more efficient. That much is obvious to anyone who isn't blinded by fear.

But people will respond "but you still need developers!" True. You don't need nearly as many, though. In fact, with an LLM in their hands, the poor performers are more of a liability than ever. They'll be let go first.

But even the "smart" developers will be subsumed, as vastly more efficient companies outcompete the ones where they work.

Companies with slop-tolerant architectures will take over every industry. They'll have humans working there. But not many.

It's funny, when you're using a claude code terminal inside vscode to use a "TUI", you're actually using a web application.

The moral failing is all of ours to share.

I doubt the laborer would describe their toil as "craft".

If you flow state involves elaborating complimentary specifications in parallel, it's marvelous

That toxicity is just part of software engineering culture. It's everywhere.

This is just grandstanding. Half the people from this lab will go on to work for AI companies.

It's all to benefit industry, whether the academics realize it or not.

One problem there is that people would rather believe the AI is "dumb" than face the facts.

The quest for purity is some fountain of youth nonsense that distracts a lot of otherwise brilliant engineers.

Ask the AI to make a program that consumes a program and determine if it halts.