面向开源软件中智能体式AI编码工具的智能体计划探索性研究
An Exploratory Study of Agent Plans for Agentic AI Coding Tools in Open-Source Software
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中文总结 AI 辅助
本文通过筛选36710个GitHub仓库识别出85个Markdown智能体计划文件，研究其支持的软件工程工作类型与提供的执行指导，明确其是研究人-智能体工作流任务意图的丰富工件。
中文摘要 AI 辅助
仓库级别的配置工件允许开发者为Claude Code、Gemini等智能体式AI编码工具提供指导。尽管已有研究考察了捕获项目级指令与约定的仓库共享上下文文件（如http URL文件），但对于智能体计划这类更面向任务的工件知之甚少。本文对开源软件仓库中的智能体计划开展探索性研究，考察计划文件的保存情况、支持的开发活动及为智能体执行提供的指导信息。我们筛选了36710个属于工程化软件项目的GitHub仓库，从10个仓库中识别出85个Markdown格式的计划文件。在这个高度集中的语料库中，智能体计划支持多种软件工程工作，包括维护、设计、构建、质量相关工作及流程支持，还提供面向任务的执行指导，最常见的形式是实现步骤、具体文件与位置，以及测试和验证信息。总体而言，这些工具特定目录下由仓库保存的智能体计划，是研究人-智能体工作流中任务意图与执行指导的一种范围较窄但信息丰富的工件。
英文摘要
Repository-level configuration artifacts allow developers to provide guidance for agentic AI coding tools, such as Claude Code, Gemini, etc. Although prior research has examined repository-shared context files that capture project-level instructions and conventions (e.g., AGENTS.md files), little is known about more task-oriented artifacts such as Agent Plans. We present an exploratory study of Agent Plans in open-source software repositories, examining how plan files are preserved, which development activities they support, and what information they provide to guide agent execution. We screened 36,710 GitHub repositories belonging to engineered software projects and identified 85 Markdown plan files from 10 repositories. Within this highly concentrated corpus, Agent Plans supported several kinds of software engineering work, including maintenance, design, construction, quality-related work, and process support. They also provided task-oriented execution guidance, most commonly through implementation steps, concrete files and locations, and testing and validation information. Overall, repository-preserved Agent Plans under these tool-specific directories appear to be a narrow but informative artifact for studying task intent and execution guidance in human-agent workflows.
