在不信任 AI 的情况下构建飞行数据管道

📄 中文摘要

几个月前,作者在整理 GitHub 时发现了一个名为 data-gov 的项目。该项目在 AI 工具逐渐普及的时期创建,尽管 Copilot 已经在编辑器中可用,作者仍然选择手动重写每一个建议,因为对 AI 生成的内容缺乏信任。正因如此,项目中的代码完全是作者逐行输入的,这使得该项目成为一个有价值的学习资源,适合希望深入理解代码编写过程的开发者。

📄 English Summary

Building a Flight Data Pipeline Without Trusting AI

A few months ago, the author discovered a project named data-gov while cleaning up their GitHub. This project was created during a time when AI tools were becoming increasingly prevalent, and although Copilot was available in the editor, the author chose to manually rewrite every suggestion due to a lack of trust in AI-generated content. As a result, the code in this project is entirely authored by the author, typed line by line, which makes it a valuable learning resource for developers looking to understand the coding process in depth.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等