AI 中文总结
研究针对Claude Code等大语言模型智能体在长期工作流程中存在的问题，提出ATWZ，通过围绕其原生智能体团队构建基于文件系统的操作层，保存智能体工作状态等，解决相关问题并减少提示编写工作量。
AI 中文摘要
大语言模型智能体显著改善了编码和编程工作流程，Claude Code是强大的编码智能体之一，但存在一些缺点。如不可恢复的智能体团队，工作状态会丢失；压缩会使工作细节模糊；存在智能体“技术债务”；繁重的提示编写。为此提出ATWZ，它围绕Claude Code原生智能体团队构建基于文件系统的操作层，将智能体和队友视为员工，在“工作站”目录文件中保存其工作状态等，能定期备份、恢复工作状态，减轻“技术债务”，减少提示编写工作量。
英文摘要
Large Language Model (LLM) agents have significantly improved coding and programming workflows. Claude Code, in particular, is one of the most powerful LLM coding agents and is capable of conducting complex coding tasks. However, several drawbacks can undermine long-term agentic workflows. (1) Irrecoverable agent teams: The Agent Teams feature is powerful, but the working state accumulated by each teammate is lost and cannot be resumed once the process stops, for example, when a terminal is closed. (2) Compaction erodes working detail: Compaction condenses the conversation into a summary, causing an agent's working details to become vague. (3) Agentic "technical debt": Over time, a user's decisions and the agents' operations become trapped in compacted old chats, making the project increasingly difficult to maintain and review. (4) Heavy prompt writing: Assigning or handing off tasks requires users to repeatedly write long prompts to achieve the expected agentic performance. We propose ATWZ (Agent Team Work Zone), a filesystem-based operations layer built around Claude Code's native Agent Teams that addresses these problems. Its central design principle is to treat each agent and teammate as a human employee and preserve their important working state in files stored in a dedicated directory called a "workstation," together with the skills, hooks, and scripts that use and maintain these files. With ATWZ, an agent team can periodically back up its working state, allowing an agent's knowledge to be recovered after compaction. After a process ends, the team can be restored with a single command. These features also substantially mitigate the agentic "technical debt" described above. Moreover, within ATWZ, agent "employees" can send documents to one another, greatly reducing the effort required to write prompts.
Comments31 pages, 9 figures
