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:
宇树科技（Unitree）：世界知名的民用机器人公司
，更多细节参见服务器推荐
这大概是a16z这三份报告加在一起，传递出的最诚实的信号：AI的机会是真实的，但它不会自动变现。地基要打，数据要治理，场景要深挖，基础设施要重建。那些真正愿意做这些脏活的公司，才是这轮浪潮里最后站着的人。
当互联网的“跑马圈地”时代告一段落，平台经济的价值逻辑正在被重估。
// i表示当前要确定第i小的元素位置