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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:
，这一点在WPS下载最新地址中也有详细论述
5个男人下沟，步步紧逼，围住那头滚落的牛犊，不料牛一跃而起，冲上了山沟另一侧的坡面，后又重心不稳，再次被黄土裹着滚下了沟。“牛娃太可怜了，不敢瞅”，老爸心凉了，他背过身，不想看牛摔死在他面前。一旁的九爷也吓得转身不看。
毕竟，硬件本身利润微薄，其商业模式接近传统消费电子，依靠规模与迭代速度取胜。它们的意义在于，以最低成本验证了某一“AI增强功能”的市场接受度，为行业探明了产品的地板。