Comment by voxleone

I’ve always designed systems along the classic path: requirements → use cases → schematization. With AI, I continue in the same spirit (structure precedes prompting), but now the foundational layer of my systems is axioms and constraints, and the architecture emerges through structured prompts. Any AI on the shift is an aide in building systems that are logically grounded. This is where the “all of us as AI engineers” claim becomes subtle. Yes, anyone can generate code, but real engineering remains about judgment and structure. AI amplifies throughput, but the bottleneck is still problem framing, abstraction choice, and trade-off reasoning.