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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:
Slowpoke became the internet's patron saint of being late. The meme began circulating widely in 2009, when users on 4chan started posting images of the famously sluggish Pokémon in response to people bringing up old news or long-settled debates.，详情可参考51吃瓜
人民法院认定该裁决违背公共利益的，应当裁定撤销。
。搜狗输入法下载是该领域的重要参考
在主营业务持续亏损、核心资产仍处投入期、历史募投项目不及预期、市值不足50亿的背景下，民德电子仍推出10亿元巨额定增，本质上是一场押注功率半导体赛道的豪赌。，更多细节参见同城约会
最近几天，中国低成本大语言模型深度求索（DeepSeek）欧美AI圈引起了不小的震动。据悉，来自杭州的初创企业深度求索1月20日发布DeepSeek-R1，该模型在测试表现、训练成本和开源开放程度等多个基准测试中均超越“ChatGPT之父”美国OpenAI公司的最新模型o1，但成本仅为o1的三十分之一。