Earlier quoted context omitted.
For those less confident: U.S. (and German) automakers were absolutely sure that the Japanese would never be able to touch them. Then Koreans. Now Chinese. Now there are tariffs and more coming to save jobs. Betting against AI (or increasing automation, really) is a bet against not against robots, but against human ingenuity. Humans are the ones making progress, and we can work with toothpicks as levers. LLM's are ou…
In other words, you have built exactly zero commercial-grade applications that us the working programmers work on building every day. LLMs are good for playing with stuff, yes, and that has been implied by your parent commenter as well I think. But when you have to scale the work, then the code has to be easy to read, easy to extend, easy to test, have extensive test coverage, have proper dependency injection / be ea…
"Commercial grade applications" doesn't mean much in an industry where ~50% of projects fail. It's been said before that the average organisation cannot solve a solved problem. On top of this there's a lot of bizarre claims about what software _should_ be. All the dependency injection and TDD and scrum and all the kings horses don't mean anything when we are nothing more than a prompt away from a working reference implementation.
Anyone designing a project to be "deployed in every cloud provider" has wasted a huge amount of time and money, and has likely never run ops for such an application. Even then, knowing the trivia and platform specific quirks required for each platform are exactly where LLMs shine.
Your comments about "business people" trying to replace you with multiple Indian people shows your level of personal and professional development, and you're exactly the kind of personality that should be replaced by an LLM subscription.