Problem
Research questions and friction points this paper is trying to address.
AI coding agents
supervisory control
software development
The Work Behind Delegation: A Framework for Supervising AI Coding Agents
🤖 AI Summary
研究解决了开发者如何有效监督AI编码代理的问题，通过重构Sheridan的框架为七个阶段和连接循环，分析了监督活动的组织方式。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
supervisory control framework
AI coding agents
developer workflows
delegation
reusable assets
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