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English(EN) What broke when I ran 20 coding agents at 229B tokens a month

开发者分享管理编码 AI 代理和优化成本的技巧

一位开发者分享了管理多个编码代理的经验,强调代码库的质量会显著影响代理的性能。他们发现,具有良好基础的结构化存储库能带来更好的代理输出,而旧的、有问题的代码库则会导致代理复制现有问题。该开发者还提倡采用分层模型使用方法,使用高级模型进行规划和审查,并使用更具成本效益的模型进行代码执行,以优化效率和降低成本。 AI

影响 优化 AI 代理的使用可以带来显著的成本节约和提高开发人员的生产力。

排序理由 开发者分享使用 AI 编码代理的个人经验和工作流程优化。

在 dev.to — Claude Code tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开发者分享管理编码 AI 代理和优化成本的技巧

本文如何被排名

Signal score
7 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
开发者分享使用 AI 编码代理的个人经验和工作流程优化。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Jackson Ly ·

    我每月运行20个编码代理,处理229B个token时出了什么问题

    <p>One of my coding agents once ran for 4.5 days, used 40.8 million tokens and made zero commits. Another reported CI green after running 28 of 308 tests. My worst outage so far ran for hours because a change reached production while I was asleep and my phone was dead.</p> <p>Eac…