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English(EN) Spine: Compiling Subtask Trees into Structured Context for Long-Horizon Coding Agents

Spine运行时通过结构化子任务上下文改进AI编码代理

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了Spine，这是一种新的运行时和接口，旨在通过结构化子任务上下文来管理长时程编码任务。与顺序历史记录或递归子代理委托不同，Spine根据子任务的嵌套和完成情况来组织交互，并即时编译上下文。这种方法可以保留未完成子任务的信息，同时用其结果替换已完成的任务，从而优化上下文的重用。当与Codex和Pi集成时，Spine在SWE-Milestone Score和ProgramBench等编码基准测试中表现出显著的改进，同时还降低了计算成本。 AI

影响 这种结构化上下文方法可以显著提高AI代理在复杂、长时程编码任务上的效率和性能。

排序理由 该集群描述了一篇关于AI编码代理新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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Spine运行时通过结构化子任务上下文改进AI编码代理

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该集群描述了一篇关于AI编码代理新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jiahong Xiang, Kunqiu Chen, Lingming Zhang, Yuqun Zhang ·

    Spine：将子任务树编译成结构化上下文，用于长时程编码代理

    arXiv:2610.37224v1 Announce Type: cross Abstract: Long-horizon coding tasks contain nested subtasks. Typically, agents record interactions sequentially into a growing history, causing context inflation and performance degradation. Compressing or trimming the history without expli…

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