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:
Miliband said the modelling would "test a range of trajectories to assess the potential emissions impact under different outcomes".
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（一）故意散布谣言，谎报险情、疫情、灾情、警情或者以其他方法故意扰乱公共秩序的；
An AI agent coding skeptic tries AI agent coding, in excessive detailFebruary 27, 2026 · 33 min，这一点在搜狗输入法2026中也有详细论述
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configurable: true,。业内人士推荐Line官方版本下载作为进阶阅读