适配度，是经济规律中的一个视角，其实也是“树什么样的政绩”的度量衡。政绩观对不对，拿这把尺子量一量就清清楚楚。
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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:。关于这个话题，91视频提供了深入分析
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{ 24, 10, 12, 26, 35, 47, 49, 37 },