Meta-analyses and systematic reviews demand rigorous abductive reasoning to build, test, and refine hypotheses across vast, heterogeneous literature. While NLP advancements have automated parts of this pipeline, existing tools often detach researchers from the cognitive loop or function merely as retrieval engines, leading to loss of intellectual ownership and frequent context switching. We present Research IDE, a prototype reimagining authoring environments through the "Research as Code" metaphor. Research IDE embeds a multi-agent backend into the writing flow, enabling in-situ verification via "hypothesis breakpoints." A one-week field deployment with 8 domain experts, followed by a reflective workshop, as a Research through Design (RtD) probe, reveals that users strongly preferred this verification workflow, actively leveraged prior knowledge for confirmation, and reported that breakpoints sparked insights. Drawing from participant feedback and suggestions, we derive design implications for future AI-assisted research tools that fully preserve researcher autonomy and intellectual ownership while harnessing computational scale.

翻译：元分析与系统综述要求严格的溯因推理，以在庞大且异质的文献中构建、检验和完善假设。尽管自然语言处理（NLP）的进步已使该流程的部分环节自动化，但现有工具常使研究者脱离认知循环，或仅作为检索引擎，导致知识所有权丧失和频繁的上下文切换。我们提出Research IDE，一个通过“研究即代码”隐喻重构写作环境的原型。Research IDE将多智能体后端嵌入写作流程，支持通过“假设断点”进行原位验证。作为一项“通过设计进行研究”的探索，我们进行了为期一周的实地部署（涉及8位领域专家）及后续反思研讨会。结果显示，用户高度偏好此验证工作流，积极利用先验知识进行确认，并反馈断点激发了新见解。基于参与者的反馈与建议，我们提炼出未来AI辅助研究工具的设计启示：在利用计算规模的同时，充分保护研究者的自主性与知识所有权。