Inside Health

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他說:「這造成了進一步的法律和合約不確定性,使供應商和客戶在試圖確定最終責任歸屬時處於極為困難的情況——這是一個成本高昂且可能漫長的過程,可能需要數年才能解決。」

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:

A new LSU

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县城CBD,过年的咖啡店至少要排队一个小时(图:南方人物周刊记者 刘璐明)

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→What you get: Railway at 82%

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