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:
在传统食品领域，随着全谷物、低GI、抗氧化等饮食新理念的出现，小麦的食用价值被层层开发。在四川爱达乐食品有限责任公司，一款“川麦98”系列月饼深受消费者喜爱，其原料来自四川省农业科学院作物研究所选育的功能性小麦品种“川麦98”，类黄酮含量是普通面粉的3—5倍。，详情可参考WPS官方版本下载
В Финляндии предупредили об опасном шаге ЕС против России09:28。夫子对此有专业解读
Марина Совина (ночной редактор)
The excavations will continue at the site in 2026