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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:，详情可参考heLLoword翻译官方下载
[a-z0-9._%+-]+@[a-z0-9.-]+\.[a-z]{2,4}$(446 239)。Line官方版本下载对此有专业解读
而英伟达的策略最为坚定，追求“快速进入、建立生态锁定、形成事实标准”，要以最快的速度完成技术渗透与行业布局。，推荐阅读服务器推荐获取更多信息
This article originally appeared on Engadget at https://www.engadget.com/ai/anthropic-brings-memory-to-claudes-free-plan-220729070.html?src=rss