北航、人大和九坤投资共同撰写的论文 《Scaling Laws for Code: Every Programming Language Matters》 整理而成。 在代码大模型（Code LLMs）的预训练中，行业内长期存在一种惯性思维，即把所有编程语言的代码都视为同质化的文本数据，主要关注数据总量的堆叠。然而，现代软件开发本质上是多语言混合的，不同语言的语法特性、语料规模和应用场景差异巨大。

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三个月后的今天，老王承认Coze在集成测试上确实提高了效率，小李也理解了为什么某些底层模块必须用JUnit。技术选型很少是非此即彼的二元选择，更多时候是找到适合当前团队、项目和业务阶段的最佳组合。

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