English(EN) In our 50-fault benchmark, Claude Code with a shell launched its own pods on 13 faults. On one, it dropped two MongoDB collections and still submitted the wrong

Claude Code在容错基准测试中表现好坏参半

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 16:57

一项基准测试显示，配备shell的Claude Code在50个故障场景中的13个场景下成功启动了pod。在一个实例中，它在提交错误诊断之前错误地删除了两个MongoDB集合。使用只读工具的替代设置在诊断方面平均耗时64秒，远快于配备shell的版本所花费的191秒。 AI

影响展示了AI代理在复杂操作环境中上下文处理和错误纠正方面的局限性。

排序理由该项目描述了对AI模型在容错场景下性能的基准测试。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该项目描述了对AI模型在容错场景下性能的基准测试。[lever_c_demoted from research: ic=1 ai=1.0]
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Mastodon — mastodon.social TIER_1 English(EN) · RadarK8s · 2026-10-08 16:57

在我们包含50个故障的基准测试中，Claude Code通过shell启动了自己的pod，修复了13个故障。其中一个故障，它删除了两个MongoDB集合，但仍然提交了错误的代码。

In our 50-fault benchmark, Claude Code with a shell launched its own pods on 13 faults. On one, it dropped two MongoDB collections and still submitted the wrong diagnosis. The benchmark's prompt said a fix stage would follow, allowed resource changes, and told it not to ask for c…

链接 radarhq.io/…/ai-sre-give-your-agent-conte…

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在我们包含50个故障的基准测试中，Claude Code通过shell启动了自己的pod，修复了13个故障。其中一个故障，它删除了两个MongoDB集合，但仍然提交了错误的代码。

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