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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:

Расследование ведется совместно Следственным департаментом МВД, Главным управлением экономической безопасности и противодействия коррупции МВД, ФСБ России во взаимодействии с Российским футбольным союзом, отметила Волк.

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was still in a mode of generational releases that would completely replace the

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The difficulty with assessing how far the latest escalation might go, stems in part from the lack of verified information available from either side.

对违反治安管理的外国人,可以附加适用限期出境或者驱逐出境。,详情可参考搜狗输入法2026