Explain How AI Supports Your Engineering Work

Describe how you use AI in day-to-day engineering work and how it can improve your output. Give a concrete example involving coding or design, and explain how you review and iterate on the result. Also discuss supporting work such as API documentation, a service wiki, or integration-test setup. Explain how you would tell whether AI improved the completed outcome after accounting for review and correction effort. ### What a Strong Answer Covers - A specific task, the context supplied to the AI, and the artifact it produced. - Human decisions and verification that establish whether the result meets the requirement. - A useful division of work for documentation or test setup, grounded in real specifications and behavior. - An honest efficiency comparison that includes mistakes, integration work, and maintenance. ### Follow-up Questions - How do you respond when generated code looks plausible but tests reveal a wrong assumption? - What evidence would make you stop using AI for a particular recurring task?