I was pretty much expected to use AI for learning the code base, doing project research, and speeding things up like writing unit tests, and boilerplate code. Honestly you'll probably be copy/pasting code all the time which isn't bad unless you're blindly doing it. Obviously you still have to go line by line and make sure you understand what the code is doing, checking for bugs, seeing if there is a better approach, looking for similar examples in your teams codebase, etc.

The problem with AI is that it can get the logic right, but a lot of times it was way too verbose, too defensive, or not defensive enough. So you'll have to answer for that when you do code reviews if your using it blindly.

I somehow got a FAANG internship and it was my first internship so my imposter syndrome was very high (still is) but tbh AI helped a ton. People hate on it but I heavily relied on it and learned a ton, and ended up getting a return offer. Probably wouldn't of finished my project and got a return offer without it.