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:
competitors' marketing tactics. The platform enables you to research your
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雷军在直播中表示，本次直播重点邀请安全专家解读专业内容，目的是让公众清晰了解事故调查的规范流程，小米将严格遵守监管要求，全力配合各类事故调查工作，坚守车辆安全底线。
The terms represent "significant changes to Walmart's business practices to ensure that Walmart never does anything like this again", FTC Chairman Andrew Ferguson and Commissioner Mark Meador said in a joint statement announcing the settlement.