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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:
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上线3年来，平台在数据驱动下，已实现劳务结算超10亿元，助力施工企业降本增效超15%。一项项数字，真实记录了每位建设者走过的路、流过的汗，也守护着背后一个个家庭的幸福生活。。heLLoword翻译官方下载对此有专业解读
Raise the Playboy pants like a pirate flag. Twirl the big brimmer in celebration. It was always going to be Shane, really, wasn’t it.