i strongly disagree with this - if anything, using AI to code real production code in real complex codebase is MORE technical than just writing software.
Staff/Principal engineers already spend a lot more time designing systems than writing code. They care a lot about complexity, maintainability, and good architecture.
The best people I know who have been using these techniques are former CTOs, former core Kubernetes contributors, have built platforms for CRDTs at scale, and many other HIGHLY technical pursuits.
This is actually where the "myth" of the 10x engineer comes from - there do exist such people and they always could do more than the rest of us ... because they knew what to build. It's not 10K lines of code, it's _the right_ 10K lines of code. Whether using LLMs or LLVM to produce bytes the bytes produced are not the "τέχνη".
That said, I don't think it takes MORE τέχνη to use the machine, merely a distinct ἐμπειρία. That said, both ἐμπειρία and τέχνη aren't σοφία.
Can you please stop posting like this? You've done it repeatedly, it's against the site guidelines, and it's destructive of the curious conversation we're trying for here.
Edit: your account has unfortunately been breaking the site guidelines a lot in other threads as well. We ban such accounts, so if you'd please fix this, we'd appreciate it.
That’s ok Dang. I’d rather not post considering the quality of other people’s posts which claim ridiculous statements with no proof which you seem to allow or even outright misinformation. Asking for evidence is deemed site breaking? Ok. I’m not sure I’d want to be part of a community which allows so much misinformation and outright nonsense. This use to be a site where rational thoughts use to exist but doesn’t anymore and this thread and your focus on my comments seems to show otherwise. Feel free to ban me if that’s going to fix this site. I’m sure discourse will normalize and the misinformation will disappear.
Staff/Principal engineers already spend a lot more time designing systems than writing code. They care a lot about complexity, maintainability, and good architecture.
The best people I know who have been using these techniques are former CTOs, former core Kubernetes contributors, have built platforms for CRDTs at scale, and many other HIGHLY technical pursuits.