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indigoUpdated Nov 4 09:29

Claude Code team's Addy on how to maintain critical thinking when using Agents

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indigo relays the views of Claude Code team's Addy Osmani, pointing out that the stronger the model, the easier it is for people to let their guard down in a comfortable state where Agent outputs are mostly good and multiple Agents run at once while there is only one pair of eyes. The article divides this cognitive decline into three steps—offloading, deferring, and surrendering—and proposes placing judgment at both ends of the task: beforehand, clearly write out assumptions, goals, boundaries, and completion criteria; during, have the Agent output intermediate artifacts step by step and verify them; afterward, look at the evidence first and then the summary, and use another model to cross-check execution documents and logs. The final threshold before delivery is whether you can explain the output and are willing to sign your name and take responsibility for it.

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The original article breaks the cognitive decline when using Agents into three steps—offloading, deferring, and surrendering—and offers a response framework of defining beforehand, verifying during, and reviewing afterward.

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Addy Osmani

@addyosmani

https://t.co/2gyp2Erpxx

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当 Agent 帮你干活,我们该思考什么?来自 Claude Code 团队的 Addy 分享的这篇虽然是拿 Coding 做例子,但这个方法可以衍生到任何 Agent 工作。模型越强,批判性思维越难,而且难的方式跟大家预想的不一样。明显错误越来越少,大多数输出都不错,而且你同时跑多个 Agent,但只有一双眼睛,在这种舒服的状态下就会放松警惕,所以批判性思维得刻意排进日程👀 首先要警惕认知滑坡:

- 卸载:把任务交给 AI,但结果仍归你负责; - 延迟:工具输出直接成了你的下一步输入,不再是假设; - 投降:AI 的输出悄悄变成你自己的观点,你不觉得需要检查;

人会一步步往下滑,每一步都很小、都显得合理,所以很少有人察觉。如果你连借助 agent 都解释不清这个答案,你这时就已经交出了所有权。因此,要把判断力放在任务两端:

1. 事前定义:先写自己的假设,明确目标、边界与完成标准。对于任何架构和执行性的工作,我会和 Agent 一同完成设计说明。这样我们双方都知道接下来会做什么,以及完成标准是什么?

2. 事中执行:Agent 生成与迭代,让验证进入执行循环。分步骤地让 Agent 输出中间产物,我们可以确定部分的执行结果是否正确。如果连续有效,就可以放心大胆执行;

3. 事后验证:先看证据,再看总结,审查隐藏的假设与决策。一定要校验 Agent 的执行结果,可以用另外的模型来阅读执行文档和中间产出的 log 记录,来双向校验。

交付前的最终门槛:我能解释它,也愿意为它署名负责吗?产出不应超过审查能力,持续练习不愿失去的技能!

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indigo