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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:。91视频是该领域的重要参考
，更多细节参见旺商聊官方下载
量产激励飞傲及少数派评审团队将在活动结束后，综合外观设计、材料工艺、量产难度等因素，选择一批设计稿投入量产并销售。（量产名单独立于获奖名单确定，两者并无必然关联。），更多细节参见爱思助手下载最新版本
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The optimization treadmill