检索到的文档、内存、工具定义、会话历史。

retrieved documents, memory, tool definitions, session history. • 𝐇𝐚𝐫𝐧𝐞𝐬𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐅𝐞𝐛 2026): The constraints and gates that keep an agent in bounds. A good prompt won't stop an agent from rewriting your entire codebase if nothing architecturally prevents it. • 𝐋𝐨𝐨𝐩 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐉𝐮𝐧𝐞 2026): Designing the plan-execute-verify cycle an agent repeats, and deciding what triggers each step and what counts as done. • 𝐆𝐫𝐚𝐩𝐡 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐉𝐮𝐥𝐲 2026): Wiring multiple agent loops together through nodes, edges, and shared state, instead of relying on one agent to handle everything sequentially. Lay them out like this and the picture gets clearer. Prompt, context, and harness engineering are genuinely different layers of the same single-agent problem. Loop and graph engineering sit much closer together, a graph is just what happens when one loop isn't enough and you need several coordinating. And here's the part worth sitting with: harness to loop to graph is three renamed "eras" in about five months. That's a pace no other engineering discipline moves at, which says something about how much of this is new architecture versus new vocabulary. We found 6 frameworks that were already doing "graph engineering," nodes, edges, shared state and all, before the term existed. Full breakdown on the 𝐛𝐥𝐨𝐠, link in the 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬. #AIengineering #AgenticAI #LLMEngineering #AIagents #MultiAgentSystems #LangGraph

检索到的文档、内存、工具定义、会话历史。 • 𝐇𝐚𝐫𝐧𝐞𝐬𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠（𝐅𝐞𝐛 2026）：将智能体限制在边界内的约束与门禁。如果没有架构层面的防护，再好的提示词也无法阻止智能体重写你整个代码库。 • 𝐋𝐨𝐨𝐩 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠（𝐉𝐮𝐧𝐞 2026）：设计智能体重复执行的 plan-execute-verify 循环，并决定每一步的触发条件以及如何判定完成。 • 𝐆𝐫𝐚𝐩𝐡 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠（𝐉𝐮𝐥𝐲 2026）：通过节点、边和共享状态将多个智能体循环连接起来，而不是依赖单一智能体顺序处理一切。 按这种方式展开，脉络会清晰得多。Prompt、context 和 harness engineering 确实是同一个单智能体问题的不同层次。Loop engineering 和 graph engineering 彼此靠得更近——当一个循环不够用、需要多个循环协同时，就会形成 graph。 这里值得停下来想一想：harness 到 loop 再到 graph，在大约五个月内被重新命名为三个"时代"。这种速度是任何其他工程学科都无法企及的，这恰恰说明其中有多少属于新架构，又有多少只是新术语。 我们发现 6 个框架在"graph engineering"这个词出现之前就已经在做节点、边、共享状态等全部内容。完整解析见 𝐛𝐥𝐨𝐠，链接在 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬。 #AIengineering #AgenticAI #LLMEngineering #AIagents #MultiAgentSystems #LangGraph