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:
阿宗在同一間工廠工作多年，從未獲得加薪，也不能參加台籍員工能去的員工旅遊與年節尾牙，初來台時，他還曾因工作不熟練被同事警告可能遭遣返。在台灣，若移工表現不佳、不適任工作，雇主可單方面跟移工解約。解約後移工若無法找到新工作，便將被遣返。
。谷歌浏览器【最新下载地址】是该领域的重要参考
Food waste is a heinous crime, says chef intercepting tonnes destined for landfill
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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36