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:
全新发布 ChatBI 模块,用户可通过自然语言提问完成数据探索与分析。系统基于语义理解与 SQL 生成能力,自动调用底层引擎执行查询,并以可视化图表返回结果,实现“所问即所得”的智能分析体验,提升业务人员数据使用效率。
,这一点在搜狗输入法2026中也有详细论述
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for a in a_list: