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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:
。一键获取谷歌浏览器下载是该领域的重要参考
第一百三十五条 公安机关依法实施罚款处罚，应当依照有关法律、行政法规的规定，实行罚款决定与罚款收缴分离；收缴的罚款应当全部上缴国库，不得返还、变相返还，不得与经费保障挂钩。。搜狗输入法下载是该领域的重要参考
Be the first to sign this letter.。关于这个话题，快连下载安装提供了深入分析
在日照市昱岚新材料有限公司智能车间，一卷3毫米厚的钢卷从生产线一端“吞”入，5分钟后便从另一端“吐”出，化作厚度不足0.1毫米的薄钢板。“钢比纸薄”的行业奇迹，在此生动上演。