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:
唐山百川机器人共享制造工厂内，整合了800台（套）共享设备和千余名专业人才。前不久，中国科学院力学研究所研发的无源外骨骼仿生机器人就在这里完成样机试制。“工厂科研团队反复优化方案，仅用20天就交付了首台样机。”工厂负责人王孟昭说，“科研机构做‘0到0.8’的技术突破，我们专攻‘0.8到1’的落地转化。”。搜狗输入法2026是该领域的重要参考
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Nature staff discuss some of the week’s top science news.，推荐阅读safew官方下载获取更多信息
Bridging the gap between this and web streams