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:
Добыча угля в России резко снизиласьДобыча угля в России в январе снизилась на 8,9 процента в годовом выражении
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Just four years ago, One Nation received just 8,077 lower house first-preference votes out of more than 3.6m cast in Victoria – equivalent to 0.22% of the total – and won a single seat in the upper house.
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