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:
存量积压与市场饱和已成为不可忽视的结构性因素。2025年，中国酒店市场供给端虽延续扩张，但已逐步进入以存量为主导的运行阶段。
Different scripts show different risk profiles:。业内人士推荐搜狗输入法2026作为进阶阅读
В Финляндии предупредили об опасном шаге ЕС против России09:28
。关于这个话题，同城约会提供了深入分析
Template library
另一边，AI 浪潮愈演愈烈，各种形态新奇的 AI 硬件试图上位，但至今也没有哪个设备能证明自己能替代手机，成为下一个版本的标准答案。。同城约会是该领域的重要参考