让AI成为核心成员，重构大规模软件开发流程
The AI-Native Large-Scale Agile Software Development Manifesto
- 以AI为第一参与者，替代人工协调与文档传递
- 通过智能协同实现开发流程实时适应与持续学习
- 适合追求高效敏捷的大型技术团队或AI工程化组织
尽管敏捷方法广泛应用，但在大规模场景下实现真正敏捷仍具挑战。现有大规模敏捷框架仍以人力为中心，依赖会议协调、文档同步和角色交接，阻碍了实时响应。与此同时，大语言模型等AI技术正快速改变软件工程，但其在组织级敏捷中的潜力尚未充分探索。本文提出《AI原生大规模敏捷软件开发宣言》，包含六项核心原则：并行流程、意图驱动团队、动态知识库、验证优先保障、代理协作工作流、可复用蓝图。这些原则共同推动开发从会议主导、文档繁重的线性流程，转变为由智能系统驱动、持续学习的自适应体系。
原文摘要 · Abstract (English)
Despite the widespread adoption of agile methods, achieving true agility at scale remains elusive. Large-scale agile frameworks remain largely human-centric and manual, relying on coordination meetings, artifact synchronization, and role-based handoffs that inhibit real-time adaptation. Meanwhile, rapid advances in AI, particularly large language models, have begun transforming software engineering, yet their potential for organizational-level agility remains underexplored. We present the AI-Native Large-Scale Agile Software Development Manifesto: a set of values and principles that redefine how large-scale software development is organized when AI becomes a first-class participant rather than a peripheral tool. The manifesto is grounded in six principles, parallel processes, intent-driven teams, living knowledge, verification-first assurance, orchestrated agent workforces, and reusable blueprints, that together shift development from a meeting-driven, document-heavy, sequential process to an intelligent, adaptive, continuously learning system.
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