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Rust 贡献者推出新语言 Rue,探索 AI 辅助编译器开发
AI前线· 2026-02-02 07:27
作者 | Tim Anderson 译者 | 刘雅梦 策划 | 丁晓昀 Steve Klabnik 是《Rust 编程语言》的作者,并且在过去的 13 年里对 Rust 项目做出了贡献,他宣 布了 Rue,这是一种系统编程语言,它在没有垃圾回收的情况下探索内存安全性,同时优先考虑开 发人员的人机工程学,而不是 Rust 的复杂性。该项目是在 Anthropic 的 Claude AI 的大力帮助下开 发的,目标是填补高性能系统语言和垃圾回收替代品之间的未充分服务的设计空间。 在使用 Rust 13 周年之际,Klabnik 在一篇博客文章中解释了他的动机: 我一直在想我是否应该尝试创造自己的语言。我真的很喜欢它们!这就是为什么我最初参与 Ruby,然后是 Rust 的部分原因! 语言名称遵循他的"Ru"前缀模式(Ruby、Rust、Rue),同时保持双重解释——既是花又是遗憾的 表达。 Klabnik 的核心设计问题是:"如果 Rust 不试图与 C 和 C++ 竞争最高性能会怎么样?"如果我们愿意 为了易用性而使性能稍微降低,但不要太低,会怎样?" Rust 之所以成功地制造出没有垃圾回收的内存安全语言,是 ...
11天狂写10万行代码,13年Rust老兵,与Claude联手从零造了一门新语言
3 6 Ke· 2026-01-07 12:49
Core Insights - Steve Klabnik, a senior technical expert in the Rust community, has developed a new experimental systems programming language called Rue in just 11 days with the help of AI tool Claude, writing approximately 100,000 lines of Rust code [1][11] - Klabnik's motivation to create a programming language stems from his long-standing interest in language design and compiler development, which he has pursued for over a decade [3][4] - The name "Rue" was chosen for its connection to Klabnik's admiration for Ruby and Rust, as well as its connotations and brevity [8] Development Process - Klabnik initially hesitated to develop a programming language due to the high expectations and complexities involved, which have increased over the years [4][10] - His perspective shifted with the advancement of AI tools, leading him to explore the feasibility of using AI to assist in compiler development [4][12] - The project faced a temporary halt due to work commitments but resumed in late 2025, with Klabnik feeling more adept at utilizing AI for software development tasks [5][6] Project Features and Goals - Rue aims to provide memory safety without relying on garbage collection, positioning itself as a higher-level language than Rust but lower than Go, focusing on usability [8][10] - The development of Rue has already attracted attention from other developers, evolving from a personal experiment into a collaborative effort [6][15] - The project is still in its early stages, with Klabnik emphasizing that it is primarily for fun and exploration rather than a serious push for adoption [15] Community Reactions - The announcement of Rue has sparked discussions in the programming community, with opinions divided on the necessity of new languages in the age of AI [15][16] - Some argue that the emergence of AI reduces the need for learning new languages, while others believe it enhances the value of language experimentation [16]
曾对AI嗤之以鼻,如今2周生成7万行代码:Rust大佬与Claude联手打造新语言Rue
机器之心· 2026-01-07 00:49
Core Insights - The article discusses Steve Klabnik's journey with Rust and his new programming language, Rue, highlighting the evolution of his perspective on AI as a valuable tool in software development [1][3][21] Group 1: Klabnik's Perspective on AI - Klabnik transitioned from being an AI skeptic to recognizing the practical benefits of AI tools in coding, particularly with the use of Claude for generating code [3][10] - He emphasizes that AI serves as a high-level tool, enhancing productivity for those with a foundational understanding of software engineering principles [10][21] Group 2: Introduction of Rue - Rue is a new programming language designed by Klabnik, aiming to bridge the gap between high-performance languages like Rust and more accessible languages like Go [6][20] - The name Rue reflects both a sense of self-deprecation and a botanical reference, indicating a blend of good and bad qualities [6] Group 3: Development Process of Rue - The Rue project has rapidly accumulated around 70,000 lines of Rust code within two weeks, showcasing the efficiency of AI-assisted coding [8][20] - Klabnik's workflow involves AI (Claude) handling the implementation details while he focuses on design and architecture [14][20] Group 4: Rust's Role in AI Programming - Rust's strict compiler serves as a quality control mechanism, ensuring that AI-generated code meets safety and type-checking standards [13][19] - This strictness, once seen as a barrier for beginners, is now viewed as an advantage in the context of AI programming, as it helps eliminate critical errors [17][21] Group 5: Future of Programming Roles - Klabnik's experiment with Rue suggests a shift in developer roles from "bricklayers" to "architects," where human developers focus on higher-level design while AI handles more routine coding tasks [21]