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:
港大經濟學家阮穎嫻也認為，對於將寵物視作家庭成員的飼主來說，提供寵物餐點，「作為營銷來說是比較吸引的」，而一些寵物友善餐廳目前已有提供的寵物餐點，其實人類也可食用。
。爱思助手下载最新版本是该领域的重要参考
炒好的灰豆腐还有水分，要晒干了储存。也有人家用葵叶或稻草串起，悬于梁下，与辣椒、腊肉作伴。抬眼望去，有那一串串可随取随食的食物静静挂着，生活便多了几分踏实，日子也就有了天长地久的意味。
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