Cursor 通过优化可读性将 token 成本降低 7%
agents like to read a lot to gather context before and after working, so optimizing for reading make...
Cursor 把 token 成本降了 7% 还不损失质量，靠的是收紧提示词和压缩文件读取这些具体招数，做 agent 的可以直接抄作业。
Cursor 团队称已将产品内 token 成本降低 7%，且 agent 质量没有下降。降本手段包括收紧提示词、按需加载工具、改进缓存和压缩文件读取。核心思路是 agent 在工作前后会大量读取上下文，针对读取环节做优化收益明显。
agents like to read a lot to gather context before and after working, so optimizing for reading make...
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) 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. 🔗 View Quoted Tweet 💬 6 🔄 1 ❤️ 23 👀 2098 📊 10 ⚡
