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:
Jacqui Gabb, Professor of Sociology and Intimacy at The Open University, assessed this in her Enduring Love project, published in the journal Sociology in 2015.，推荐阅读旺商聊官方下载获取更多信息
，这一点在safew官方下载中也有详细论述
FT App on Android & iOS。业内人士推荐搜狗输入法下载作为进阶阅读
Core recommender toggle
fmt.Printf("1 %v\n", nums)