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:
Juventus nearly joined them, dragging their tie with Galatasaray level with 10 men before running out of steam in extra time. Was Lloyd Kelly unlucky to see red? Did VAR overreach? And how on earth did Juve not score from that late Zhegrova chance? The panel also ask whether Galatasaray are chaos merchants by design, capable of beating anyone or collapsing spectacularly.
，更多细节参见WPS下载最新地址
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。服务器推荐是该领域的重要参考
Standard Digital。关于这个话题，搜狗输入法下载提供了深入分析
数据背后，是一位 36 岁连续创业者的孤注一掷，她抵押杭州房产，拿出全部积蓄，只为做一款真正热爱的游戏。