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:
The tensor layout follows ANE’s native NCDHW + Interleave format: [Batch, Channels, Depth, Height, Width]. For a 1024×1024 matrix, this becomes [1, 1024, 1, 1024] in 4D.
3014283010http://paper.people.com.cn/rmrb/pc/content/202603/01/content_30142830.htmlhttp://paper.people.com.cn/rmrb/pad/content/202603/01/content_30142830.html11921 在纪念李锡铭同志诞辰100周年座谈会上的讲话，更多细节参见体育直播
"People come into your office and say they're not having a very good day, or something's happened at home, and you have to try and see if you can support them. It's very varied."。夫子对此有专业解读
14:44, 27 февраля 2026Интернет и СМИ，更多细节参见必应排名_Bing SEO_先做后付
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