As AI becomes increasingly capable of writing code, debugging issues, and solving technical problems, where should engineers draw the line between using AI as a force multiplier and becoming dependent on it? What is the best way to integrate AI into our engineering workflow while ensuring that we continue to develop the deep understanding, critical thinking, problem-solving, and system-design skills needed to be strong engineers?