"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."
Engineering historically meant solving local problems, often reinventing solutions because teams lacked access to existing knowledge and tools. Teams built bespoke fixes when similar problems were solved elsewhere but that knowledge was unavailable. Engineering effectiveness depends on available tools and the scale of impact those tools enable. Generative AI fundamentally alters that landscape by making infrastructure, code, and tests inexpensive and immediately accessible. When building becomes easy, the primary engineering work shifts upstream toward defining the right problems, designing thoughtful solutions, and owning the broader responsibilities that follow from those decisions.
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