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Zig Creator Calls Spade a Spade, Anthropic Blows Smoke
(raymyers.org)
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this post was submitted on 13 Jul 2026
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Programming
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The whole "AI is enough" marketing that the author mentions in the conclusion is total poison. A buddy of mine works at one of the companies involved in this circlejerk and they have the same mandate. Cost is not an issue. Use it for everything.
He said he has to roll the dice all day to get good output from the AI. Its more important they USE THE AI than it is that they PRODUCE GOOD CODE. In fact "good code" is not a thing, in the traditional sense. "Good code" means AI created. His actual title ostensibly has nothing to do with AI, they are producing a totally different thing. But since he works at a company that is benefiting massively from AI investment, his bosses are mandating a worse form of developing because they are now in the business of selling AI rather than what presumably is the product.
It's like if you were a plumber and your plumbing company merged with a huge factory that makes 90 degree pipe elbows. So they mandated that all plumbing now had to be done by joining together nothing but 90 degree pipe elbows rather than any other fitting. And since its all going to be sealed up inside a wall, who cares? How dare you question this? Are you saying there AREN'T legitimate uses for 90 degree pipe elbows?
We are at an infection point with software. Similar to AWS was about fifteen-twenty years ago, or git. If you ignore it, you're behind the curve. Now's the time to experiment, figure out the good and bad. Not all orgs are going face first. Some of us are learning along with it.
Where it shines for me? Really small changes in a complex system. I can't store all the context all the time. Business requirements, security ones, aesthetic ones. Where it shines is if you suss out small changes thoroughly, it's a great text generating engine.
All of that said, the side effects of data centers and pump and dump stocks, are absolutely horrid. Hopefully on the other side of it we come to something more sane.
You can learn how to use AI coding tools in a week at most, and there's no telling if next week they'll be a new harness or loop or whatever that becomes the new trend, making everything you've learned so far obsolete. Nobody's being left behind. AWS also isn't hard to learn if you've done the similar infrastructure stuff yourself. And git isn't hard to learn if you've used other version control systems.
And that's the point. You don't have to consume everything all the time w/ AI/LLMs. But if you don't pay attn, 1) You'll likely make mistakes on things which didn't work out, like zero-shot prompting, or which models do better on which languages and 2) you'll have to play catch up.
On git? Did you know git would have won over HG, or Fossil? What about using git submodules, or bisect? You can do the research now that I wrote it out, but would you have known about them before hand? What about all the hook features?
And git can be hard, esp if people around you don't know it as well as you do, or people above you know it better than you do. Which again is a problem of people getting in way too late.