Comment by Oras
6 hours ago
You still have the system design skills, and so far, LLMs are not that good in this field.
They can give plausible architecture but most of the time it’s not usable if you’re starting from scratch.
When you design the system, you’re an architect not a coder, so I see no difference between handing the design to agents or other developers, you’ve done the heavy lifting.
In that perspective, I find LLMs quite useful for learning. But instead of coding, I find myself in long sessions back and forth to ask questions, requesting examples, sequence diagrams .. etc to visualise the final product.
I see this argument all the time, and while it sounds great on paper (you're an architect now, not a developer) people forget (or omit?) that a product needs far fewer architects than developers, meaning the workforce gets in fact trimmed down thanks to AI advancements.
I would also point out that a lot of real world problems don’t need a complex architecture. They just need to follow some well established patterns.
It is a pattern matching problem and that seems to me to be something AI is/will be particularly good at.
Maybe it won’t be the perfect architecture, or the most efficient implementation. But that doesn’t seem to have stopped many companies before.