"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."
"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 historically meant solving local problems without access to external solutions or tools, so teams reinvented solutions. Tool availability defines engineering and its impact. Generative AI reduces friction: infrastructure, code, and tests become quickly obtainable. As building becomes cheap, the critical work migrates upstream to problem framing, strategy, and judgment. Engineers must accept responsibility for higher-level thinking, ensuring designs, integrations, and outputs are correct, ethical, and maintainable. Organizations must adapt processes, knowledge sharing, and tooling to support this shift and to manage long-term consequences and systemic impacts.
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