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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:
。Line官方版本下载是该领域的重要参考
Что думаешь? Оцени!
总体而言，邮储的罚单呈现“数量多、金额大、覆盖广”的特点，涉及“贷款三查不尽职”，授信管理不审慎、违反反洗钱规定、占压财政存款等诸多违法违规行为，也凸显公司内控漏洞。