"A few years ago, engineering inside a company meant this:solve the problem that exists here. Even if the same problem had been solved elsewhere, we often didn't know.We didn't have access to that knowledge.We didn't have the tools.So we engineered our way through it. Engineering is always defined by the tools available and the impact they allow. And that's exactly why Generative AI changes things so fundamentally."
"1. When Building Becomes Easy, Thinking Becomes the Job Today, building is cheap.Infrastructure is a click away.Code is a prompt away.Tests are a command away. Which means the real work has shifted upstream. The important questions are no longer:"
Engineering once focused on solving local problems because knowledge, access, and tools were limited. Engineering outcomes reflect the capabilities of available tools and the scale of their impact. Generative AI reduces friction: infrastructure is a click away, code can be produced from prompts, and tests can be run by commands. As building becomes cheap, the primary work moves upstream toward defining problems, designing systems, and assessing values, safety, and risk. Responsible practice now requires stronger emphasis on problem formulation, cross-functional coordination, validation, governance, and organizational knowledge sharing to ensure beneficial and equitable outcomes.
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