让下一篇重要论文，不再错过。

原文摘要

Background: Much of the enthusiasm for vibe coding rests on two intuitive beliefs: (1) that developers stay invested even when they no longer write the code, and (2) that delegating more of the work to AI lowers their cognitive load. Objective: Our goal was to investigate whether developers' neurophysiological states and interactions with AI are consistent with these beliefs when they work with agentic vs. non-agentic AI on their own project vs. a legacy codebase. Method: We conducted an exploratory within-subjects crossover study with 11 participants across 22 sessions. Each participant used GitHub Copilot Chat in one session and Cursor Agents in the other, working on their own project and a legacy codebase, with tool-codebase pairings randomly assigned and session order counterbalanced. We recorded participants' EEG, on-screen activity, and prompts, and analyzed 7,924 EEG data points, 984 activities, and 141 prompts. Results: Our findings contradict both beliefs. With the agent, participants remained indifferent to task outcomes, even on their own projects, and cognitive load was higher than with non-agentic AI. Furthermore, their ways of interacting shifted: with non-agentic AI, participants asked how the code worked and read it to verify changes; with the agent, they described desired app behavior and checked results in the running app. Conclusion: Our study reveals a vibe paradox: delegating to an agent left participants motivationally disinterested, even on their own projects, without relieving cognitive load, while coinciding with increased trust in AI. The community should treat this paradox as a first-class concern if developers and their AI agents are to go far together, and not just fast.