Yellow: Coaching decisions
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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如果最终目的是购物，去韩国飞过去不是更简单？淡季机票几百块，比坐船快多了，还不用忍受可能的海上颠簸。东南亚更是海岛体验为主，去了只想海边沙滩躺平，一天的陆地行程也玩不到什么精髓。