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English(EN) I recorded 87 Claude Code sessions to find out where the money goes

研究发现:AI 编码代理的成本由步骤驱动,而非 token

一项对 AI 编码代理成本的调查显示,驱动其费用的主要因素是代理执行的步骤数量,而不是 token 使用量。作者构建了一个名为 `knock` 的开源工具来优化这些代理。`knock` 的早期版本未能降低成本,但后来一个版本为代理提供了代码库的地图,显著减少了不必要的探索和工具调用,从而在大型、不熟悉的代码库上节省了大量成本。 AI

影响 通过减少步骤来优化 AI 编码代理可以显著降低开发人员和企业的运营成本。

排序理由 该条目描述了一个旨在优化 AI 编码代理的新工具(`knock`)的开发和测试。

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研究发现:AI 编码代理的成本由步骤驱动,而非 token

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该条目描述了一个旨在优化 AI 编码代理的新工具(`knock`)的开发和测试。
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报道来源 [1]

  1. dev.to — MCP tag TIER_1 English(EN) · HasanGilani ·

    I recorded 87 Claude Code sessions to find out where the money goes

    <p>I wanted to know why AI coding agents get expensive on real codebases, so I stopped guessing and started recording. Every session in this post is a real Claude Code run (Claude Sonnet 5), saved as a full transcript with the cost Claude Code reported. 87 sessions in total, on t…