软件架构中将保留哪些人类角色？焦点小组报告
What Will Remain Human in Software Architecture? A Focus Group Report
- TH Köln（科隆应用技术大学）
- University of St.Gallen（圣加仑大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究通过焦点小组探讨AI代理对软件架构的影响，发现架构决策、问责和护栏制定仍属人类任务，提出驾驭工程和认知债务概念，并以关键性作为校准人类监督的标准。
AI中文摘要：
AI开发代理日益被用于支持和部分自动化软件架构任务。为探究从业者如何看待这一转变，具体而言哪些方面发生变化、哪些保持不变以及哪些新职责涌现，我们在第31届欧洲模式语言、人员与实践会议（EuroPLoP 2026）上组织了一个焦点小组。来自工业界和学术界的22名参与者讨论了当前实践、信任与验证策略、AI自主性的边界、治理挑战以及对教育的影响。其中，我们发现广泛共识是：架构决策、问责制以及架构护栏的制定从根本上仍是人类任务。一个核心涌现概念是“驾驭工程”（harness engineering）：即构建治理AI辅助系统创建的系统这一学科，涵盖验证机制、知识层和公司特定标准。参与者一致认为，关键性（criticality）——理解为不确定性与变更成本的组合——是校准人类监督的通用标准。另一个关注点是“认知债务”（cognitive debt）：当AI辅助决策在缺乏充分智力参与的情况下被接受时，人类对系统理解逐渐退化。在本报告中，我们呈现了焦点小组的发现并描述了未来工作方向。
英文摘要：
AI development agents are increasingly used to support and partially automate software architecture tasks. To explore how practitioners perceive this shift, specifically what changes, what remains, and what new responsibilities emerge, we conducted a focus group at the 31st European Conference on Pattern Languages of Programs, People, and Practices (EuroPLoP 2026). Twenty-two participants from industry and academia discussed current practices, trust and validation strategies, the boundaries of AI autonomy, governance challenges, and implications for education. Among others, we found broad consensus that architectural decision-making, accountability, and the authoring of architectural guardrails remain fundamentally human tasks. A central emergent concept was harness engineering: the discipline of building the system that governs AI-assisted system creation, comprising validation mechanisms, knowledge lay- ers, and company-specific standards. The participants agreed that criticality, understood as the combination of uncertainty and cost of change, serves as the universal criterion for calibrating human oversight. A further concern was cognitive debt: the progressive erosion of human understanding of the system when AI-assisted decisions are accepted without full intellectual engagement. In this report, we present the findings of the focus group and describe directions for future work.
