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:
从接近蜜雪人士处获悉，蜜雪冰城全国首家“雪王室内乐园”项目位于河南郑州集团总部，目前各项工作正稳步推进中。据介绍，乐园以雪王IP为核心，打造充满甜蜜与奇幻的雪王世界。规划多个室内主题体验区，深度融合蜜雪冰城全球总部、全球旗舰店与主题乐园三大场景，打造“游玩+购物+体验”三位一体的体验体系。（大河财立方）
。业内人士推荐搜狗输入法2026作为进阶阅读
Сайт Роскомнадзора атаковали18:00
I believe the 2984 did something fairly similar, but the details are now obscure