数据与计算发展前沿2026，Vol.8Issue(2)：141-153,13.DOI:10.11871/jfdc.issn.2096-742X.2026.02.011
开源社区AI智能化运维探索
Exploration of AI Intelligent Operation and Maintenance in Open Source Community
任旭东 1孟广浩 2张乐天 2齐宝玮 3王意明3
作者信息
- 1. 华为技术有限公司开源与开发者发展部,广东 深圳 518129||清华大学深圳国际研究生院,广东 深圳 518055
- 2. 清华大学深圳国际研究生院,广东 深圳 518055
- 3. 华为技术有限公司开源与开发者发展部,广东 深圳 518129
- 折叠
摘要
Abstract
[Objective]This study proposes and validates an LLM-driven intelligent Operations-and-Main-tenance(O&M)framework for the OpenHarmony open-source community,designed to man-age the surge in code submissions and multimodal maintenance demands and to accelerate fault localization and resolution during the compilation and static-analysis stages.[Methods]The framework combines Qwen LLMs with an Adversarial-Collaboration Retrieval Augmentation(AC-RAG)pipeline and Retrieval-Augmented Chain-of-Thought(RA-CoT)fine-tuning.Curat-ed multimodal logs support incremental pre-training and LoRA adaptation for domain align-ment,while a built-in AI assistant provides real-time Q&A and automated fixes within DevOps.[Results]Online deployment indicates that the framework substantially shortens the diagnosis-and-repair cycle while significantly reducing extensive manual intervention.It enhances collab-orative efficiency,preserves code quality,and ultimately saves the community several hundred person-months of O&M effort annually.关键词
OpenHarmony/开源社区/大模型/AI智能化Key words
openHarmony/open source community/large language model/artificial intelligence引用本文复制引用
任旭东,孟广浩,张乐天,齐宝玮,王意明..开源社区AI智能化运维探索[J].数据与计算发展前沿,2026,8(2):141-153,13.
