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AI can also generate the architecture for you based on the requirements, and ask the necessary clarifying questions. It's not as good at system design as writi
by a2ff6eeb0 1mo ago
AI can also generate the architecture for you based on the requirements, and ask the necessary clarifying questions.
It's not as good at system design as writing code, yet. But it feels like it's better than most of my coworkers.
I think in a few months, system architecture will have its Claude Code moment, and humans will be outclassed.
- VohuMana 1mo agoI don’t know, I could be wrong but I think one of the key aspects of system design which I don’t know if there is a lot of training data for us the “why” behind decisions. Separating out good design from bad isn’t always black and white and like the article mentions it’s about managing complexity and trade offs. It’s hard to capture in code/training data “we designed everything in a certain way but compromised in this one area because we were under time constraints and assumed we could fix it later” A fun little exercise you can do is design a system and write some code and then ask LLM to explain why you wrote it that way. Results are varied and interesting but in my experience rarely capture the actual why behind decisions.
- a2ff6eeb0 1mo agoInterestingly, while it may not match the reasoning that I have, I find that it usually comes up with things that I should have thought of.