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:
Last 24 hours to get TechCrunch Disrupt 2026 tickets at the lowest rates of the year。搜狗输入法下载是该领域的重要参考
，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。
Can robots ever be graceful?
if (n <= 1) return;。关于这个话题，safew官方版本下载提供了深入分析