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:
Трамп высказался о непростом решении по Ирану09:14
Scrum和Kanban是两种最流行的敏捷框架，各有其适用场景。。Line官方版本下载是该领域的重要参考
REPOSITORY TAG IMAGE ID CREATED SIZE
。WPS下载最新地址是该领域的重要参考
I have three 27” monitors—two portrait flanking one landscape. I find portrait layout to be more useful for more of what I do. I work in the command line a lot, remotely managing a variety of Cisco, Ruckus, and Juniper network switches. To me, command line, chat, email, and Word and PDF documents all usually work better in portrait. I had a difficult time finding good VESA mounting hardware for the two portrait monitors. I ended up with VideoSecu ML411B mounting brackets, and they work quite well. My partner designed and 3D-printed a great, simple mount for the landscape monitor.
Сайт Роскомнадзора атаковали18:00。快连下载安装对此有专业解读