The phrase “outdated tech stack from 2022” is kind of hilarious
Out of date after only 3 years?
Out of date after only 3 years?
But I think what the poster meant was that the AI is not always "up to date". So if my C compiler is a 2025 version, and my code makes use of features added since 2022, then the AI can "retrogress" the code simply because it isn't aware of the new.
Or another example, imagine when JavaScript Promises were new. There's a lot more examples of "not using promises" than "using promises ". So the AI us likely to use the old pattern.
If you're doing "up to the minute " code because you put the effort in to keep abreast of new stuff, then this retrograde will seem, well, frustrating.
Well, that was the story anyway. Some team members were already using AI for production code and pointed out that if he had knowledge of the good stack, he would have just asked AI to build the good stack instead of relying on it to build the whatever stack.
For context, the senior interviews we give don't force tool or stack. They're problems we have trouble with. The aim is to find someone smarter than us who brings in a new tool or stack which solves this problem better. If we wanted to test promises skill, we'd give a complex async problem, like getting them to clone the box in Facebook with emoji count and stuff.
Mobile is shorter, because it's highly centralized around Apple and Google who can declare something obsolete. It's not simply opinion; I literally got an email saying that I had to meet the target API level requirements by 31 Aug for an app that was at the latest one less than a year ago.
A 'generation' in AI is 1-2 years now - GPT-4o was state of the art in May 2024, now deprecated.
I can't tell if the models being up to date make other stacks faster or slower.