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:
./frps -c ./frps.toml
。同城约会是该领域的重要参考
在实践中，只要凑够国会三分之二多数（130席中的87票），总统便可能被罢免。而秘鲁国会高度碎片化，没有任何政党拥有稳定多数，临时联盟随时瓦解，结果是总统几乎无法形成长期政策预期。
他写道：“与通常能够轻松应对行业波动的企业不同，英伟达相对于其盈利和现金流而言沉重的供应义务，使得市场低谷对英伟达而言构成更大的潜在风险。”
"Everyone has been dreaming for 40 years of one robot hand to rule the world. A lot of people think it could be the humanoid hand," says Pierce.