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arXiv 2512.08286cs.SEcs.AIcs.LG

通过SolidGPT赋能智能应用开发:一种边缘-云混合AI代理框架

Empowering smart app development with SolidGPT: an edge-cloud hybrid AI agent framework

University of Illinois, Chicago, USA(伊利诺伊大学芝加哥分校);North Carolina State University, North Carolina, USA(北卡罗来纳州立大学)

Liao Hu, Qiteng Wu, Ruoyu Qi

AI总结:

SolidGPT是一种结合边缘计算与云计算的AI代理框架,通过交互式代码查询、自动化项目生成和人机协作提升开发者生产力,适用于智能移动和软件工程领域。

摘要:

将大型语言模型(LLMs)整合到移动和软件开发工作流中面临三个需求之间的持续张力:语义意识、开发者生产力和数据隐私。传统的基于云的工具提供了强大的推理能力,但存在数据暴露和延迟的风险,而本地设备解决方案缺乏对代码库和开发工具的完整上下文理解。我们介绍了SolidGPT,这是一种基于GitHub的开源边缘-云混合开发者助手,旨在增强代码和工作区的语义搜索。SolidGPT使开发者能够:与代码库互动:通过交互式查询代码和项目结构,发现正确的模块和方法,而无需手动搜索。自动化软件项目工作流:生成PRD、任务分解、看板和甚至Web应用的骨架,通过VSCode和Notion进行深度集成。配置私有、可扩展的代理:将私有代码文件夹(最多约500个文件)纳入其中,连接Notion,通过嵌入和上下文训练自定义AI代理角色,并通过Docker、CLI或VSCode扩展部署。在实践中,SolidGPT通过语义丰富的代码导航、集成的文档和任务管理以及隐私优先的设计提升了开发者生产力:无需在文件中搜索或不确定某个功能的位置。集成的文档和任务管理:无缝同步生成的PRD内容和任务看板到开发工作流中。隐私优先的设计:通过Docker或VSCode本地运行,完全控制代码和数据,同时可选择性地调用LLM API。通过交互式代码查询、自动化项目骨架生成和人机协作,SolidGPT提供了一种实用且隐私尊重的边缘助手,加速了现实中的开发工作流,适用于智能移动和软件工程场景。

英文摘要:

The integration of Large Language Models (LLMs) into mobile and software development workflows faces a persistent tension among three demands: semantic awareness, developer productivity, and data privacy. Traditional cloud-based tools offer strong reasoning but risk data exposure and latency, while on-device solutions lack full-context understanding across codebase and developer tooling. We introduce SolidGPT, an open-source, edge-cloud hybrid developer assistant built on GitHub, designed to enhance code and workspace semantic search. SolidGPT enables developers to: talk to your codebase: interactively query code and project structure, discovering the right methods and modules without manual searching. Automate software project workflows: generate PRDs, task breakdowns, Kanban boards, and even scaffold web app beginnings, with deep integration via VSCode and Notion. Configure private, extensible agents: onboard private code folders (up to approximately 500 files), connect Notion, customize AI agent personas via embedding and in-context training, and deploy via Docker, CLI, or VSCode extension. In practice, SolidGPT empowers developer productivity through: Semantic-rich code navigation: no more hunting through files or wondering where a feature lives. Integrated documentation and task management: seamlessly sync generated PRD content and task boards into developer workflows. Privacy-first design: running locally via Docker or VSCode, with full control over code and data, while optionally reaching out to LLM APIs as needed. By combining interactive code querying, automated project scaffolding, and human-AI collaboration, SolidGPT provides a practical, privacy-respecting edge assistant that accelerates real-world development workflows, ideal for intelligent mobile and software engineering contexts.

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。

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