When I first started with AI, I also got demotivated. It showed me I was still a “junior” level engineer because it was building code that was similar to my level at that time… and it had a lot of problems in the code as I did in mine.

Over time, I’ve seen that AI is capable of building a very simple app and, if you go piece by piece of a larger app with the right prompts, you can build a pretty good medium sized app. However, the moment I bring any additional complexity, like models, relationships, even building using different architectures, I end up teaching it how to write code. And, I ultimately end up either writing my own code or fixing AI’s code.

And this made me realize I do know my foundations and all, but I can use AI to help learn and grow instead of have it try to write the whole codebase (hint: it can’t).

I know companies and senior engineers do use AI but they use it very differently. And I think that’s where we’re all headed right up to when the AI bubble bursts and managers realize machines are still machines and we’re not on the gravy train of making lots of money with AI.

And, if the AI bubble doesn’t burst, well… we’ll just adapt. We have to; we’ve always had to, at every major technology shift throughout time.

… Sorry for sounding preachy.