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:
在云南，教育的阳光照亮山里娃的追梦路。“从‘有学上’到‘上好学’，我们像抓脱贫攻坚一样抓基础教育。”省教育厅相关负责人介绍。3种优质资源辐射方式覆盖学校、学生比例分别达到54.51%和68.63%。
93.8%152/162 picks。关于这个话题，heLLoword翻译官方下载提供了深入分析
传统的电力巡检用的是四足狗，但这些操作需要类人的构型。在最近的电力智能巡检大赛中，我们的机器人实现了跨站室迁移成功率90%、新柜型示教少于10次、末端定位精度±15mm的严苛指标，验证了落地可行性。，详情可参考51吃瓜
Letter to the Norwegian authorities。爱思助手下载最新版本对此有专业解读
Just… don’t do it with JavaScript ffs.