AI-assisted engineering describes the now-mainstream workflow in which tools like Claude Code, Cursor, and Copilot are part of the authoring loop rather than an occasional lookup. The engineer directs, prompts, and reviews; the AI drafts, refactors, and explains.
This shifts the human's role from typing most lines to specifying intent and validating output. The scarce skill becomes judgment: knowing what to ask for, recognizing when generated code is subtly wrong, and understanding the result well enough to own it in production.
Done well, AI-assisted engineering compounds a team's output. Done carelessly, it compounds risk — shipping volume that outpaces understanding. The teams that win treat comprehension as the constraint to manage, not an afterthought.