📄 中文摘要
在这篇文章中，作者分享了一个关于其每日 AI 研究管道的调试经历。该管道每天早上 5 点自动运行，负责主题选择、网络研究和报告生成，且无需编写 Python 代码。尽管最初运行顺利，但在添加新功能后出现了问题。作者强调，AI 编码助手在调试过程中存在认知偏差，并探讨了人类与 AI 之间的调试协作如何实际展开。这一事件不仅是调试的故事，更是对人机协作的深刻反思。
我从连续两天破坏我的 AI 管道中学到的东西
出处: What I Learned from Breaking My AI Pipeline for Two Days Straight
发布: 2026年2月22日
📄 English Summary
What I Learned from Breaking My AI Pipeline for Two Days Straight
The article recounts the author's debugging experience with a daily AI research pipeline that runs automatically at 5 AM, handling topic selection, web research, and report generation without any Python code. Initially functioning smoothly, the pipeline encountered issues after new features were added. The author emphasizes that AI coding assistants have their own debugging cognitive biases and explores how human-AI debugging collaboration unfolded in practice. This incident serves not only as a debugging narrative but also as a profound reflection on human-AI collaboration.