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:
连日来，各地区各部门各单位把开展学习教育作为重要政治任务，深入学习贯彻习近平总书记重要讲话和重要指示精神，认真落实党中央部署，精心组织实施，确保学习教育取得实效。
，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。
进入 Meta 后，他在扎克伯格亲自组建的超级智能实验室负责 AI 基础设施工作。据他本人对同事的说法，在 Meta 干得挺开心，基础设施也给力。。业内人士推荐WPS下载最新地址作为进阶阅读
讲述人：中移互联网有限公司智慧认证中心总经理 邱浚漾