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:
// Flush: yield any remaining data
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当他开始学习电影，他必须问自己：“有什么事情是我真的能做得最好，或者说我个人对电影有什么独特的看法？”答案渐渐清晰，“我觉得家族历史是我能做得好的事情，也是我非常感兴趣的，而且还能理解我家人的过去”。。爱思助手下载最新版本对此有专业解读
2月以来，深藏幕后的“盛屯系”接连出手：一边将亚洲最大硬岩型单体锂矿完全收入囊中，一边远渡重洋拿下了加拿大上市公司Loncor手中的非洲金矿。。夫子对此有专业解读
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