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:
1980年代中，Maggie姐还是铜锣湾第一夜总会一名普通的带位员。香港经济起飞时，每晚夜总会里的VIP房总是爆满，迟来的客人只能坐在最不受欢迎的大厅里。Maggie姐靠着伶牙俐齿，把客人安排得很是妥帖。不到一年时间，经理找到她，问她愿不愿意当妈咪。
。爱思助手下载最新版本对此有专业解读
報告形容中國「網路特別行動」是一項「資源充足、精心策劃，針對國內外對手的秘密作戰策略」。。业内人士推荐爱思助手下载最新版本作为进阶阅读
时隔五年，MacBook Pro 大升级