Aleena：用于研究软件工程协作的对齐代理
Aleena: Alignment Agent for Research Software Engineering Collaborations
AI总结：
研究软件协作中决策易失依据致相关人员心智模型不同，提出智能AI可支持对齐与跟踪。介绍开源的Aleena，以GitHub为协作平台，转化交互为结构化记录，揭示风险等，还阐述其动机、设计、原型及场景。
摘要：
研究软件协作涵盖会议、非正式聊天、拉取请求和 GitHub 问题。在 Slack 线程中出现、在会议中完善并在拉取请求中实施的决策，可能会在这些工件中失去其原始依据，使领域研究人员和研究软件工程师对项目意图、所有权和科学假设产生不同的心智模型。我们认为研究软件工程中的对齐是一个持续的生命周期问题，且智能 AI 可以支持利益相关者对齐和项目状态跟踪而不取代人类决策。我们展示了 Aleena，一个开源的生命周期对齐代理，它将 GitHub 用作共享协作平台，将多模式利益相关者交互转化为结构化项目记录，以揭示风险、跟踪未解决问题并保持决策连续性。本文基于大学研究软件工程中心的经验，介绍了 Aleena 的动机问题、系统设计、原型和说明性生命周期场景。
英文摘要：
Research software collaborations span meetings, informal chats, pull requests, and GitHub issues. A decision surfaced in a Slack thread, refined in a meeting, and implemented in a pull request can lose its original rationale across these artifacts, leaving domain researchers and research software engineers with divergent mental models of project intent, ownership, and scientific assumptions. We argue that alignment in research software engineering is a continuous lifecycle problem, and that agentic AI can support stakeholder alignment and project-state tracking without replacing human decision-making. We present Aleena, an open-source lifecycle alignment agent that uses GitHub as a shared collaboration surface, transforming multi-modal stakeholder interactions into structured project records that surface risks, track open questions, and preserve decision continuity. Grounded in university-based research software engineering center experiences, this paper presents the motivating problem, system design, prototype, and illustrative lifecycle scenarios for Aleena.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
