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:
报道指出，该项目意味着蜜雪冰城正在进军文旅赛道。
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Из мира БарбиНекоторым людям мало играть в куклы. Они ими становятся19 января 2018。关于这个话题，51吃瓜提供了深入分析
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This plan comes with 350 credits/month with 87.5k words and 1 user seat. It’s perfect for larger businesses or agencies.。业内人士推荐WPS官方版本下载作为进阶阅读