As someone heavily involved in the retro gaming tech space, I've seen a lot of people using AI there and it's really disappointing to me. You're right that it takes a lot of technical knowledge and deep understanding of the system, and the whole point of the endeavor is the process of getting that knowledge and becoming an expert in the system. It's a hobby, not a job; the end goal of a working emulator or whatever is just motivation to carry you along that process of learning.

So having Claude one-shot a NES emulator is almost pointless to me. You're using and looking at source code for an emulator you didn't write -- and you can learn from that, but it's not the same thing and doesn't require you to really understand a CPU the way you would by, say, observing a deviation in game behavior and staring at trace logs to figure out the exact instruction you emulated incorrectly.

It's not all bad -- AI is a great research tool and can automate some of the tedious parts (writing out an instruction decoder by hand is miserable). But using it to just...skip over the effort of doing a project defeats the whole purpose of doing those projects in the first place.

I don't want to be gatekeepy or curmudgeonly or "back in my day..." about it. But for me, my entire career path is due to skills and knowledge I learned spending several years of my life as a teenager figuring out how to write an NES emulator as a relative beginner to programming. And so I feel like using AI for this is depriving the next generation of that learning process. In addition, there are only so many retro games, and fewer popular ones. There's only so much unexplored territory to discover, and doing it with AI deprives another person of that experience and deprives that game's community of someone who might have been able to find a "home" working on projects related to that game.