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:
2. 分区：小于pivot的放左边，大于的放右边
，推荐阅读同城约会获取更多信息
黎智英欺詐案上訴得直：定罪及刑罰被撤銷，出獄時間提前。业内人士推荐旺商聊官方下载作为进阶阅读
舒爾霍夫說：「對我來說，更重要的是，說『請』和『謝謝』可能會讓你在與AI互動時感到更自在。這雖然不會提升模型的性能，但如果它能讓你因為感到更自在而更願意使用它，那麼它就是有用的。」。业内人士推荐搜狗输入法2026作为进阶阅读
实施治安管理处罚，应当公开、公正，尊重和保障人权，保护公民的人格尊严。