We have to be careful to not offload our understanding to agents. I think there is also a good opportunity to build agentic applications that encourage deeper understanding. For example, coding agents might make developers faster at the task in front of them. But this could leave them unable to extend the code afterward. Here is what they find in this work: 54 students built a website with either an agent that edits their code or a chatbot where they write the code themselves. Understanding was measured two ways, through comprehension questions and through an extension task performed with no AI at all. Agents helped with initial completion and hurt comprehension enough that users could not extend their own work. The damage traces to specific interaction patterns. Copy-and-paste prompting and auto-accepted edits both correlate with lower comprehension, which makes this a harness design problem rather than a verdict on coding agents. Students reported weaker understanding and still preferred the agent because it was quick and easy. The authors point at dissuading low-effort prompting, generating more readable code, and promoting active engagement. Paper: Track more trending AI research papers at