The accessibility of AI-generated code has accelerated the development process, but it has not eliminated the need for judgment and expertise in software development. To succeed in this new landscape, engineers must learn to use AI as a force multiplier on deep knowledge, rather than a replacement for it, and operate at a higher level of abstraction while keeping their roots in the fundamentals.