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:
Lawyers who have looked into the particulars of the case tell Ars that the state faces an uphill battle in convincing courts that this portion of Valve's business legally constitutes gambling. That said, there are a few elements of the case that might make Valve legally vulnerable to the state's arguments.
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在美國生活的四年間，關恆形容自己過著比較低調的生活，家人不在身邊，也沒有太多認識的朋友，很多時候都是一個人獨自生活、處理各種問題與狀況。