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:
但此番言論激怒了批評者，因為谷愛凌選擇公開抨擊特朗普卻從未批評中國。
。服务器推荐对此有专业解读
"But now it's a case of how do you make it robust, how do you make it at scale, and how do you actually make it at a reasonable price?"
Что думаешь? Оцени!