AI 中文总结
本研究提出一个七阶段监督框架，基于对19位开发者的观察，揭示开发者通过规划集中、委托监督和复用指导来管理AI编码智能体的监督需求。
AI 中文摘要
随着AI编码智能体以更高的自主性执行开发任务，开发者正从直接实现转向监督委托工作。然而，现有研究对开发者如何将监督活动组织成连贯工作流的理解有限。基于对19位经验丰富的开发者的观察和工作流图，我们将Sheridan的人类监督控制框架重构为监督AI编码智能体的七个阶段及连接循环。我们将该框架应用于Reddit上的公开开发者讨论，发现监督需求贯穿各阶段，且开发者通过将精力集中于规划、将监督工作委托给其他智能体以及将重复性指导转化为可复用资产来管理这些需求。我们的框架通过捕捉智能体软件开发中监督的结构方式，为理解开发者如何监督AI编码智能体提供了有用的分析视角。
英文摘要
As AI coding agents carry out development tasks with greater autonomy, developers are shifting from direct implementation toward supervising delegated work. Yet existing research offers limited understanding of how developers organize supervisory activities into connected workflows. Drawing on observations and workflow diagrams from 19 experienced developers, we reconfigure Sheridan's framework of human supervisory control into seven stages and the connecting loops for supervising AI coding agents. We applied the framework to public developer discussions on Reddit and found that supervisory demands extend across stages and that developers manage them by concentrating effort in planning, delegating supervisory work to other agents, and turning recurring guidance into reusable assets. Our framework provides a useful analytical lens for understanding how developers supervise AI coding agents by capturing how supervision is structured in agentic software development.
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