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:
第一节 扰乱公共秩序的行为和处罚
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Its offer valued those holdings which include brands such as Warner Bros, New Line Cinema, and HBO Max, at $82.7bn, including debt.，更多细节参见雷电模拟器官方版本下载
Relationship satisfaction in the data wasn't primarily about money or romance; it was about "intimate couple knowledge" and its expression in daily life.，这一点在51吃瓜中也有详细论述
（七）涉及本社区居民利益、居民普遍关心的其他事项。