这项由北京航空航天大学的杨健、国鑫、林静等研究者联合优矿公司和中国人民大学人工智能学院团队完成的突破性研究，发表于2025年12月的arXiv预印本（论文编号：2512.13472v1），是全球首次系统性探索多语言编程训练规律的重要成果。

作者 | Michael Redlich, Erik Costlow, Karsten Silz 等译者 | 平川策划 | 丁晓昀本报告汇总了 InfoQ Java 编辑团队目前对 Java 领域内技术采用和新兴趋势的看法。我们重点关注 Java ...

在餐饮行业数字化转型的浪潮中，针对特色餐饮的水饺店也面临着管理效率提升的需求。本文将介绍一款专为水饺店设计的管理软件实现方案，涵盖从需求分析到核心代码实现的完整过程。 type VARCHAR (20) COMMENT '水饺类型（如：猪肉、牛肉等）', ...

This report summarizes how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology ...

Modern operating systems can support extraordinarily large volumes of users, but run into limitations with threads to support them due to CPU and memory constraints. Java historically has dealt with ...

Java 22 introduces stream gatherers, a new mechanism for manipulating streams of data. Stream gatherers are the delivered feature for JEP 461, allowing developers to create custom intermediate ...

The Python Stream API Library offering Streams like you know from Java/Kotlin/Scala in Python with some cool extensions ...

Java’s stream operations would become more flexible and expressive and allow custom intermediate operations to manipulate streams of infinite size to the extent possible, under a proposal in the ...