在当今技术飞速发展的时代，人工智能（AI）正在逐步改变各个行业的面貌，尤其是在编程领域。许多开发者在使用ClaudeCode时，普遍感受到它作为“高级代码生成器”的强大能力。然而，很多人也发现，尽管ClaudeCode的代码生成能力十分出色，但它依然需要不断补充项目规范、架构约束、DevOps流程、安全要求和代码审核标准等信息。否则，生成的代码虽然符合预期，却可能不符合团队的规范要求。

新智元报道 编辑：LRST【新智元导读】AI能写代码，却修不好构建环境、看不懂系统监控、串不起全链路运维——新基准DevOps-Gym显示，顶级模型在真实软件工程任务中全链路成功率归零，暴露其缺乏长程推理与动态系统理解能力，AI辅助编程远未触及真实开发核心。随着LLM的爆发，Coding ...

Matt Carroll, a developer advocate on Meta's React team, explained that the React Foundation is an independent foundation hosted by the Linux Foundation. Its founding members include Amazon, Callstack ...

Recognition highlights commitment to delivering strategic software solutions and long-term value for clients in the ...

Java turns 30 years old in 2025. What better time to release the 2025 State of Java Survey and Report? Our second annual survey serves as a guide to understanding Java adoption and trends, and ...

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Powerful DevOps analytics solution now supports Oracle JDK and any OpenJDK-based distribution. Azul, the only company 100% focused on Java, has announced that Azul Intelligence Cloud, Azul’s cloud ...

For decades DevOps teams have been under pressure to do four things: make software faster, make it cheaper, keep it secure, and accelerate time to market. But with fewer engineering resources, ...

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