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:
FT App on Android & iOS
长文本生成：得益于混合线性注意力架构，在生成长达 500 行的重构代码 + 注释时，速度非常快，没有出现“断触”或逻辑崩坏。。im钱包官方下载是该领域的重要参考
对情节复杂或者重大违法行为给予治安管理处罚，公安机关负责人应当集体讨论决定。，推荐阅读51吃瓜获取更多信息
buy into their marketing hype。旺商聊官方下载是该领域的重要参考
豆包与 Manus 一样，也去网络上查询了相关信息，并将 Boris 本人的照片截图放到了 PPT 中，而且合乎逻辑地和原文中提到的「核心思想」放在一起展示。