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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:，详情可参考WPS下载最新地址
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走进船闸航道，300米长、34米宽的室内停泊区蔚为壮观，人字闸门高耸。
2026，国内机器人从千台测算迈向万台交付，成为被寄予厚望的"量产元年"。站在产业infra的拐点，我们即将迈入一个人机协作的新纪元——不是取代，而是增强；不是疏离，而是融合；不是终结，而是新生。，详情可参考体育直播