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:
Other users have objected to this wave of AI slop videos as an unfair racial stereotype of their neighbourhood. One black TikTok user from Croydon called C.Tino posted a response, saying the trend falsely portrayed the area as "ghetto".。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
在拥挤的高速上，我们时常遇到从隔壁车道加塞过来的车，自适应巡航系统总会留出足够的车距，面对加塞时也能柔和地减速，让我感觉甚至比自己驾驶得更“老到”。。关于这个话题，同城约会提供了深入分析
https://feedx.net。业内人士推荐快连下载安装作为进阶阅读