Managing AI Agents Effectively Requires the Same Skills as Managing Interns

A perspective piece on DEV Community argues that working with AI agents closely mirrors managing an enthusiastic but inexperienced intern, citing shared traits like speed and eagerness alongside tendencies to fabricate information and make rookie errors. The author contends that poor AI outputs often reflect weak management rather than AI limitations, drawing a parallel to bosses who expect results without clear direction. Traditionally, professionals developed management skills only after years as individual contributors, but AI is compressing that timeline, making structured thinking and clear delegation essential even for early-career workers. Practical guidance in the article emphasizes setting specific goals, breaking projects into phased tasks, and sharing relevant context without overwhelming the model. The core argument is that the human skill of structuring and directing work, not the AI tool itself, determines the quality of results.