什么是图工程 | Graph Engineering | 循环工程 | Loop Engineering | 多智能体 | LangGraph | ReAct | 提示词工程 | 工作流编排 |验证器
2026年AI工程范式正在发生关键迁移，从Loop Engineering转向Graph Engineering。本文深度解析这一转变的本质：从编排单个智能体自主循环，到组织多个智能体、工具、人形成可观测、可恢复、可扩展的系统。视频梳理了AI工程五层演进路径，拆解Loop的五大结构性缺陷与目标失明问题，详解Graph的节点、边、状态、策略四要素，菱形、主管、流水线三种经典拓扑，以及Anthropic官方五种工作流模式。核心结论，Graph的价值不在多智能体数量，而在通过独立验证器、代码兜底、现实锚点搭建确定性。
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