Anthropic工程师：用图工程构建能自我纠错的并行智能体
Roger_M_Taylor · x · 2026-08-13
An Anthropic engineer shares a core philosophy for building effective AI agents: don't babysit the model.
He recommends putting agents into a graph structure so they can catch their own mistakes. Graph engineering allows you to run a dozen tasks in parallel, enable agents to check each other's work, and automatically recover when one fails. The article breaks down exactly what graph engineering is, when to use it, and when to avoid it, noting that mastering it can optimize massive processes, not just personal tasks.
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