Every time your English improves, it happens outside the classroom.
Most English learners don’t listen enough. They come to class and expect the teacher to pour English into their heads. That’s not realistic. If you never listen to English outside of class, it’s no surprise you can’t speak it well.
So the easiest and most important thing you can do to learn English is listen to podcasts. You can listen anywhere. The more you listen, the more you understand.
If you keep thinking about one thing over and over, you might not end up with a great result.
But if you try to slow down and take small steps one at a time, something good may happen in the end.
I totally agree with you, bro. Loops are indeed effective in some ways, but that doesn't mean humans can simply rely on loops to dream of building programs with great architecture, good performance, maintainability, and security. Humans still need to make decisions and take control at critical points.
If you're just building a demo or a toy project, you can certainly do it this way and quickly get an MVP version up and running.
But frankly speaking, relying solely on a loop cannot guarantee a healthy architecture, nor can it support high-quality, complex business logic.
In other words, if in the future programs for airplanes or banks were all written by AI loops, would you, as a user, be able to trust such a system?
@RhysSullivan Finding a balance is important. Blindly pursuing automation will only consume a huge number of tokens while also incurring massive technical debt.
@shannholmberg I think this approach needs to provide all clear and correct architecture and decisions. Otherwise, the agent is very likely to generate a bunch of AI slop.