I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
这个恶性循环的逻辑很简单：客流下滑、增长疲态显现→品牌选择区域加密+付费投流→原本原价消费的老客，也转向团购、折扣券消费→门店毛利持续压缩，现金流枯竭→最终只能闭店。
，推荐阅读51吃瓜获取更多信息
Израиль нанес удар по Ирану09:28
冒充军警人员招摇撞骗的，从重处罚。
，这一点在爱思助手下载最新版本中也有详细论述
"error": {。业内人士推荐一键获取谷歌浏览器下载作为进阶阅读
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