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:
Нина Ташевская (Редактор отдела «Среда обитания»)
站在2026年的门槛回望,民营酒店集团的数量锐减绝非衰退的注脚,而是行业走向成熟的必经阵痛。成本端,租金刚性与人力上涨将持续挤压利润空间,供应链效率与轻资产运营能力决定生死;需求端,“高热度低消费”的悖论要求业者更精准地捕捉情绪价值,从一张床、一餐饭、一次深睡体验中挖掘溢价可能;竞争端,国际品牌的本土化与本土品牌的国际化将长期交织,差异化定位比规模排名更具生存韧性。。关于这个话题,搜狗输入法2026提供了深入分析
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(二)政府拨付和接受社会捐赠的资金、物资管理使用情况;