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:
值得留意的是，政府同時在問卷指出，大埔宏福苑援助基金總額約43億元，扣除已動用及預留的援助項目，剩餘約20多億元，並稱「意味政府需要投入公帑去補貼收購業權。」該基金目前總額增至約45億，事實上政府投入三億元作為起動資金，其餘款項經公眾籌款取得。，更多细节参见搜狗输入法2026
深藏功与名公开资料显示，刘建军出生于1965年8月，毕业于东北财经大学国民经济学专业，获得研究生学历、高级经济师职称。，这一点在safew官方版本下载中也有详细论述
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