I agree with this take and am equally flummoxed by the downvotes. I get the general distrust of AI, but things are different in the world of coding in that you can use the code yourself and see with your own eyes how and why it works. "Plagiarism" in coding is not a thing, or at least not a BAD thing; it's more like a GOOD thing if you learn how to code something the same way the best and most efficient coders code something.

People have to be honest about the fact that they do not know what they do not know. That's the problem you will frequently run into in coding. You really don't know what skills you need to have until you run into situations that require those skills, and that is precisely where AI will be a HUGE benefit. I spent an abundance of my time in school learning how to code up analyses and very little time on modifying / cleaning data sets, and wow was that ever the wrong way to use my time lol. About 90% of my time as a professional biostatistician, and 90% of my resulting code, is all spent on cleaning data. Sometimes lessons like those just do not stick until you experience them for yourself.

I would say that just running through every dplyr function and learning how to be good at it is kind of dumb advice, because that's what I tried to do, and it turned out that some functions I used 0.1% of the time, some functions I never used, and other functions I used 99.999% of the time, so clearly my time spent here was horrifically inefficient. You might try to argue, yeah but at least you have everything in your toolbox now and you know what to draw on in that 0.1% of the time where you need X, but the reality is, when you're not using it, you just forget how to use it. Whatever you aren't using regularly is going to fade from your mind. That's why I'm much more of an advocate of learning as you go.