本文详细介绍了Claude Code上下文管理优化的实战经验。作者通过分析上下文占用过大的问题(初始占用61.1k tokens),提出了5大精简策略:优化全局配置、精简项目配置、让Claude作为决策者、保留必要的MCP工具以及定制输出风格。文章提供了具体的中英对照配置文件示例,展示了如何通过减少不必要的上下文占用,将初始上下文消耗从61.1k降低至43.4k,显著提升了对话效率和可用性。这些优化策略不仅适用于Claude Code,也可为其他AI编程工具的使用提供参考,是开发者优化AI助手使用体验的实用指南。
原文链接:Linux.do







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