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:
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
，详情可参考heLLoword翻译官方下载
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로봇청소기 통신 데이터를 분석하는 개발자의 모습을 형상화한 이미지. 스마트홈 기기의 클라우드 연결 구조와 보안 취약점 논란을 시각적으로 표현했다. ChatGPT 생성 이미지
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