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:
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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print(f"Crawling: {current_url}")
把AI写进条款：沉默结束，标准化模板上桌过去几年，许多企业在AI风险上处于一种危险但常见的默认状态，保单里没写AI，于是双方都倾向于把它当作包含在既有责任险/网络险/科技险里，这就是所谓的沉默条款。现在，这个灰区正在被系统性地收拢，要么明确承保、要么明确排除。
What you'd expect: AWS, GCP, Azure