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A:主要原因是训练数据严重倾斜。互联网上Python代码的数量远超其他语言,AI在训练时接触到的Python代码样本多得多,因此对Python的语法规则、常用模式和解题思路记忆得更深。相比之下,Rust和Go的代码资源少得多,加上这些语言本身的语法限 ...
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整套架构本来是给程序员写代码用的,意外地特别适合当业务系统的多智能体后端。今天就把整个流程分享给大家。 做 AI 多智能体业务后端,开源框架满地都是。LangChain、LangGraph、AutoGen、CrewAI 我都试过。 结果这次我用一个"写代码用的 CLI"反而搭得最快。
CLAUDE.md 就是你项目的「团队公约」。 Claude Code 启动时会自动读取它,把你写的规则当成团队共同约定来遵守。不写也能用,但等于你招了一个能力很强但完全不了解你们项目的新人,每次沟通都要从头交代背景。 上个月我在文章里留了个留言区,说「你们在 ...
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瑞士意大利语大学携手塞维利亚大学:当AI遇上“语言盲区”,如何 ...
这项由瑞士意大利语大学软件研究院(SEART实验室)与西班牙塞维利亚大学(SCORE实验室)联合开展的研究,以预印本形式于2026年6月15日发布在arXiv平台,编号为arXiv:2606.16827。有兴趣深入了解的读者可通过该编号查阅完整论文。 每天,全球数以百万计的程序员都在借助AI的力量写代码——GitHub ...
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