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eric zakariasson· @ericzakariasson · X·· 8 天前AI 评分41
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智能体在工作前后喜欢大量读取以收集上下文,所以针对读取做优化会带来很大差别! 如果你在构建智能体,我强烈推荐读一读这个(或者把它交给你的智能体,让它去实现这些发现)

正文

agents like to read a lot to gather context before and after working, so optimizing for reading makes a big difference!

if you're building agents, i highly recommend reading this (or giving it to your agent and ask it to implement the findings)

引用Cursor@cursor_ai
We've reduced token costs in Cursor by 7% with no drop in agent quality. Savings came from tighter prompts, selective tool loading, better caching, and compressed file reads.
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来源:eric zakariasson · x.com