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:
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今年的征文活动更有创意，「只能用 AI」和「不能用 AI」两大赛道激情 PK，硅基生物和碳基生物都将决出各自领域的佼佼者。我们会在征文结束后统一组织投票活动，但在正式投票之前，如果你喜欢这篇文章，不妨通过充电或评论的方式支持作者，让内容创作者获得更多维度的鼓励。。业内人士推荐雷电模拟器官方版本下载作为进阶阅读
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截至第四季度末，过去12个月的订阅收入积压订单（backlog，预计未来期间内确认的合同收入）金额为88.33亿美元，同比增长15.8%。总订阅收入积压订单为281.01亿美元，同比增长12.2%。该积压订单额被计入Paradox和Sana收购案，这两笔收购分别于2026财年第三和第四季度完成。，更多细节参见heLLoword翻译官方下载
"ANTHROPIC_DEFAULT_SONNET_MODEL": "glm-4.6",