📄 中文摘要
在进行Python代码审查或后端调试时，常常需要花费10-15分钟编写提示，而不是专注于实际问题。这种情况在API架构和测试覆盖率缺口时也同样存在，导致在提示工程上的时间远超于实际问题的解决。经过三个月的积累，记录下有效的提示短语和框架，最终整理出400多个提示草稿。经过测试和筛选，留下272个能够产生可靠输出的提示，并按任务类型进行分类。该系列将分享这些有效的AI提示。
Python开发者AI工具包，第一部分：如何停止重复编写相同的提示并打包272个有效提示
📄 English Summary
Python Developer AI Toolkit, Part 1: How I stopped rewriting the same prompts and packaged 272 that actually work
During Python code reviews or backend debugging sessions, significant time was spent—10 to 15 minutes—crafting prompts instead of focusing on the actual problems. This issue also extended to API architecture and test coverage gaps, leading to more time spent on prompt engineering than on problem-solving. Over three months, effective phrasing and framing were noted, resulting in over 400 prompt drafts. After testing and filtering, 272 reliable prompts were organized by task type. This series will share these effective AI prompts.