I get what the author is trying to say but this does not match my experience nor does it match the employee productivity findings from AI adoption in enterprises.
(And of course there is the uncharitable alternative - that they are simply incompetent. But we don't actually need to go there.)
You don't need to do this if you setup TDD. Over time, you develop confidence in the tests, and those ensure your code is solid. Linters/formatters ensure coding standards.
It's a shift, but once you make it, is when agentic development clicks.
More and more, this is becoming an unreconcilable ideological difference in software development.
When you're learning something, wading through documentation is a lot more valuable than zeroing in on the one thing faster. It's an investment in the future.
I am struggling to reconcile your viewpoint with this but may have found the wrong profile!
Also, there are plenty of non-development related uses of AI that are genuinely valuable - document extraction and data repair are strong domains for application.
And, of course, like everyone else, I've used it instead spending a lot more time searching and sifting through things online. I used to think replacing the search bar with an AI prompt was gimmicky, but then the replies improved.
Those use-cases alone have been massive time savers for me.
You use AI for search like everyone else because that's what it always was and all it was ever good for. What if I told you that your dramatic statement is totally misreading the vast majority of office workers and their work? If there are waves, it doesn't resemble a riptide, but stop-and-go traffic.
Their work isn't hard for them to begin with. They're bored and stuck in endless meetings. The bottleneck is the rest of the organization. Just like a traffic jam, they cannot leave. Not even working from home will save them from the random calls, messages, or emails keeping them glued to the desk.
For every nontrivial goal, all decisions up to that point will await approval from one person. The baton is then handed off to someone else and so it goes.
As tempting as it is for some people to want to, one cannot jam the AI middleman pirate grift machine into this process without violating centuries of accountability laws. Anyone attempting to build an AI-first business will hit these same roadblocks and become the thing they attempted to be "better" than.
Any attempt by AI companies to slip out of this situation with reform politics would be highly entertaining to watch though. I think the sharks smell blood.
The rip is in the demand and adoption of the technology and its subsequent effects on everything else. You can choose to learn how to navigate it, go faster with it, or sit on the sidelines, but trying to stop it won't make the demand, the technology or its adoption go away.
This thing is here to stay and , judging by all the meetups in my area, it's only getting bigger. Who knows, maybe companies will be forced to dramatically change to reduce bottlenecks. Maybe there will be a lot more smaller companies. I can't say for sure.
This is an uphill legal battle beyond personal opinion or preference, and I'm not seeing the demand. I'm not saying that you think vibecoding is what people should be doing with AI, but ignoring the details is the only way to make this go faster. External to the business groupthink, that is just fraud.
All this time before LLMs, any business could have just cranked out slop any old way. What kept them from doing that?
What I think AI has done is shine a spotlight on longstanding problems, and that is good, but we're a lot further away from solving any of them than many realize. I'm not even sure there is anything to solve if we're just talking about efficiency.
> The rip is in the demand and adoption of the technology and its subsequent effects on everything else. You can choose to learn how to navigate it, go faster with it, or sit on the sidelines, but trying to stop it won't make the demand, the technology or its adoption go away.
What is there to adapt to? I don't think AI has changed work. It improved accessibility to information. It didn't exceed the capability of web search or books. You still have to type some stuff and then read what it "generates". That's... that's the same thing we were already doing.
are you referring to the early 2025 METR study?