📄 中文摘要
在之前的文章中，作者分享了使用 Claude Code 构建 Docker Compose 开发环境的经历，经历了 15 次提交和 10 多个会话，因首次会话将所有内容交织在一起而未能逐步推进。本篇文章着重于如何利用 Claude Code 分析会话日志，识别失败模式，并将其转化为有针对性的修复措施。Claude Code 将会话记录以 JSONL 文件的形式存储，包含每个用户消息、工具调用以及文件的读取和编辑记录。通过这些日志，作者能够深入分析并解决开发过程中的问题。
利用 Claude Code 进行自我错误分析
出处: Using Claude Code to Post-Mortem Its Own Mistakes
发布: 2026年3月5日
📄 English Summary
Using Claude Code to Post-Mortem Its Own Mistakes
The previous article described the experience of building a Docker Compose development environment using Claude Code, which involved 15 commits over more than 10 sessions due to the initial session producing everything as an intertwined system rather than incrementally. This article focuses on how Claude Code was used to analyze session logs, identify failure patterns, and convert them into targeted fixes. Claude Code stores conversation transcripts as JSONL files, capturing every user message, tool call, and file read and edit. By leveraging these logs, the author was able to conduct a thorough analysis and address issues encountered during the development process.