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如何拆解复杂任务让Claude高效并行执行

2025-12-18 分类：前沿哨所阅读(3) 评论(0) 赞(0)

智谱 GLM，支持多语言、多任务推理。从写作到代码生成，从搜索到知识问答，AI 生产力的中国解法。

本文探讨了一个实际工程中的技术挑战：如何将大规模代码重构任务拆解为Claude可以高效执行的流程。作者面临需要修改100个Java文件的任务，涉及库调用变更和参数调整，担心单实例Claude处理效率低下且耗时过长。文章提出了自动化并行处理的构想，希望系统能够将任务分解为多个子任务，同时启动多个终端并行处理不同文件，实现24小时不间断工作。这种需求反映了AI助手在实际工程应用中的局限性和改进方向，对于提高AI在代码重构等复杂任务中的效率具有参考价值。

原文链接：Linux.do

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