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:
这些警告发出后，五角大楼于本周做出决定，允许xAI的聊天机器人Grok用于机密场景，将其纳入美国部分最高敏感、最高机密行动的核心。
。关于这个话题，51吃瓜提供了深入分析
We would be more than happy to make reasonable adjustments to ensure that everyone is able to contribute, so please don’t hesitate to get in contact if you have any questions about these expectations.
// 栈的长度 = 独立车队数量
聖經公會根據YouGov數據撰寫了《安靜復興》報告。這個機構如何應對虛假受訪者的問題？