Engineering After AI: Why Writing Code Is No Longer the Hard Part
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Engineering After AI: Why Writing Code Is No Longer the Hard Part
"I f Part I was about acknowledging the shift,Part II is about accepting the responsibility that comes with it. 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:"
A few years ago engineering meant solving local problems without knowledge or access to external solutions. Teams often lacked tools and re-created solutions in isolation. Engineering is defined by the tools available and the impact those tools enable. Generative AI changes that definition by making building cheap and easy: infrastructure is a click away, code can be produced from prompts, and tests can be commanded. As construction becomes inexpensive, the primary work shifts upstream toward higher-level thinking, decision-making, and accepting responsibility for broader outcomes.
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