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硅谷资深工程师:不止是 AI 产品,Coding 也需要好的 taste
Founder Park· 2025-10-06 02:05
我们知道,一个好的「品味(taste)」对于做好 AI 产品,很重要。但对于技术,「品味」也同样重 要。 对于工程师来说,技术的品味与技术能力是两码事。有人可能技术能力强但品味差,或者技术弱但品味 好。培养一个「好」的技术品味,有时会让结果超出原有的技术能力。 那么,略显「玄妙」的技术品味的核心是什么?硅谷资深工程师 sean goedecke 给出的答案是: 「为当 前项目选择适配的工程价值观」的能力。 因为在软件工程领域,绝大多数的决策,核心都是在不同目标之间进行权衡。很少会遇到一个选项在所 有方面都绝对优于另一个选项的情况。这时候,有一个好的工程价值观就特别重要。 如何建立一个好的工程价值观,都在 sean goedecke 的这篇经验帖里了。 sean goedecke:Github 高级工程师 个人主页介绍:https://www.seangoedecke.com/my-engineering-values-2025/ 原博客链接:https://www.seangoedecke.com/taste/?utm_campaign=what-is-good-taste-in-software-engin ...
从中国“霸榜”到全球开源,AI的新思考!GOSIM HANGZHOU 2025圆满收官
AI科技大本营· 2025-09-16 10:33
Core Insights - The GOSIM HANGZHOU 2025 conference highlighted the integration of open-source and AI technologies, showcasing their potential across various industries and emphasizing the importance of community collaboration in driving innovation [1][3][4]. Group 1: Conference Overview - The conference attracted over 200 global leaders in open-source and AI, along with more than 1500 developers, featuring keynote speeches, high-end forums, and specialized discussions on AI models and infrastructure [1][3]. - Keynote speakers included influential figures from organizations like the United Nations and major tech companies, discussing the significance of open-source in AI development and global collaboration [3][6][7]. Group 2: Community and Collaboration - The event emphasized community engagement, with forums dedicated to the Rust programming language and hands-on workshops that fostered interaction among developers [4][5][15]. - The conference featured a strong focus on practical applications, including hackathons that encouraged developers to create innovative solutions in real-time [22][24]. Group 3: AI and Open Source Integration - Discussions on the future of AI highlighted the need for high-quality training data and the challenges of integrating AI into real-world applications, stressing the role of open collaboration in overcoming these hurdles [8][12]. - The conference explored various AI themes, including embodied intelligence, intelligent agents, and the next generation of AI technologies, showcasing advancements and potential applications [10][12][14]. Group 4: Workshops and Practical Engagement - A total of 14 workshops were organized, allowing developers to engage in hands-on learning and collaboration on cutting-edge technologies [17][20]. - The workshops covered a range of topics, from AI inference to cross-platform development, providing participants with practical skills and insights [18][20]. Group 5: Future Directions and Closing Remarks - The conference concluded with a call for continued collaboration in the open-source AI community, setting the stage for future events and innovations [33][34]. - GOSIM HANGZHOU 2025 served as a platform for fostering connections between academia and industry, promoting ongoing dialogue and exploration in the tech community [29][31].
一条命令,几秒就能把网站打包成桌面应用,轻巧还秒开~
菜鸟教程· 2025-09-12 03:30
Core Viewpoint - The article introduces Pake, an open-source tool that allows users to convert any webpage into a lightweight desktop application, significantly improving accessibility and user experience compared to traditional methods like Electron [3][6]. Group 1: Pake Overview - Pake is designed to create lightweight desktop applications from webpages, with a package size of approximately 5MB, making it nearly 20 times smaller than Electron [3][6]. - The tool utilizes Rust and Tauri architecture, resulting in superior performance and lower memory usage compared to traditional JavaScript frameworks [6]. - Pake supports various features such as keyboard shortcuts, immersive windows, drag-and-drop functionality, custom styles, and ad removal, enhancing the user experience beyond just packaging a webpage [6]. Group 2: Installation and Usage - To install Pake, users need to execute the command `pnpm install -g pake-cli`, after which they can use the `pake` command to package a webpage [8]. - Users can customize their applications by specifying parameters such as application name, icon, window dimensions, and more during the packaging process [8][17]. - The article provides examples of how to package specific webpages, demonstrating the ease of use and flexibility of the tool [8][17]. Group 3: Additional Resources - Pake has a GitHub repository with over 42,000 stars, indicating its popularity and community support [4]. - The article mentions the availability of pre-compiled packages for Rust, which can be downloaded if installation is slow [14]. - It also highlights the potential for integrating Pake with AI IDEs like Qoder, which can streamline the development of desktop applications [25][26].
Rust 天花板级大神公开发帖找工作:3000 次核心提交,不敌 “会调 OpenAI API、用 Cursor”?
AI前线· 2025-09-06 05:33
Core Viewpoint - The Rust community is facing challenges as two prominent contributors, Nicholas Nethercote and Michael Goulet, publicly seek new job opportunities due to budget cuts at their current organization, Futurewei, which reflects a broader trend of resources being diverted towards AI projects, leaving foundational projects like Rust underfunded [2][9][11]. Group 1: Contributors' Background - Nicholas Nethercote is a key contributor to the Rust project and has a notable background, including a PhD from Cambridge and co-authorship of the Valgrind tool, which is essential for memory debugging and performance analysis [4][5]. - He has made significant contributions to the Rust compiler, with over 3,375 commits, and has been instrumental in improving the compiler's performance and maintainability through various technical debt cleanup efforts [5][6]. Group 2: Current Job Search Context - Nethercote's job search is attributed to budget cuts in his team, which has led to a reduction in positions, highlighting the impact of international factors and the shift of attention and funding towards AI [9][11]. - Both Nethercote and Goulet express a desire to continue working within the Rust ecosystem, explicitly avoiding sectors like blockchain and generative AI [13]. Group 3: Industry Implications - The situation underscores a paradox in the tech industry where highly skilled engineers in foundational technologies like Rust are struggling to find opportunities, while demand for AI-related skills surges [15][19]. - The recruitment landscape has shifted, with a focus on AI capabilities overshadowing traditional programming skills, leading to a disconnect between the needs of foundational projects and the current job market [19]. Group 4: Rust's Future and Challenges - The ongoing debate about Rust's potential to replace C continues, with notable figures like Brian Kernighan expressing skepticism about Rust's performance and usability compared to C [21][23]. - The retention of top talent in the Rust community is critical for its future, especially in light of the increasing competition for resources and attention from AI projects [23].
删掉15万行代码、全球贡献度第16名的Rust大神,竟全网公开求职?工作意向惹争议:“坚决拒绝生成式AI”
猿大侠· 2025-09-05 04:11
Core Insights - The Rust community is facing a significant challenge as two influential contributors, Nicholas Nethercote and Micheal Goulet, are seeking new employment, raising concerns about the sustainability of core developer support within the open-source ecosystem [1][3][5]. Funding and Support - There is a growing sentiment among developers that the Rust Foundation should step in to support its core contributors, especially given the substantial funding it receives from major tech companies [3][13]. - The Rust Foundation's total revenue for 2023 is reported to be only $250,000, which is insufficient to sustain even one junior developer in Silicon Valley, let alone two core compiler experts [13]. Contributor Profiles - Nicholas Nethercote has made over 3,375 commits to the Rust project, with 2,815 of those during his three years at Futurewei, showcasing his deep involvement and contributions to the Rust compiler [7][8]. - Nethercote's expertise includes compiler performance optimization, syntax parsing, and error message generation, indicating his critical role in enhancing the Rust programming language [8][9]. Job Seeking Intentions - Nethercote explicitly stated his job preferences, seeking full-time roles that allow him to maintain Rust or work on interesting open-source projects, while rejecting opportunities in blockchain, generative AI, and quantitative trading [10][11]. Industry Trends - The article highlights a troubling trend where funding and attention are increasingly directed towards AI technologies, leaving less for foundational programming languages like Rust, which are essential for system-level development [13][14]. - The shift in investment focus towards large models and GPUs by investors and tech giants poses a risk to the future of languages like Rust, which rely heavily on dedicated developers [14].
删掉15万行代码、全球贡献度第16名的Rust大神,竟全网公开求职?工作意向惹争议:“坚决拒绝生成式AI”
3 6 Ke· 2025-09-04 00:00
Core Insights - The Rust community is facing concerns as two influential contributors, Nicholas Nethercote and Micheal Goulet, are seeking new employment, highlighting vulnerabilities in the open-source ecosystem [1][3][10] - The Rust Foundation's financial support is questioned, as it reportedly generated only $250,000 in total revenue for 2023, insufficient to sustain core developers [10][12] Contributor Concerns - Nicholas Nethercote and Micheal Goulet are both prominent figures in the Rust compiler team, with Nethercote expressing a strong desire to continue working full-time on Rust [3][4] - Nethercote has made over 3,375 commits to the Rust project, showcasing his significant contributions to compiler performance optimization and code maintenance [5][10] Financial Aspects - The Rust Foundation's financial situation raises questions about its ability to support key contributors, especially when compared to the substantial funding that large tech companies allocate to experimental tools [10][12] - Despite being backed by major sponsors like Amazon, Google, and Microsoft, the Rust Foundation struggles to provide adequate financial resources for maintaining core developer positions [10][12] Industry Trends - The increasing focus on AI and its resource demands are seen as a threat to funding for other technologies, including Rust, as noted by Nethercote [5][12] - The open-source community is urged to find innovative funding models to ensure the sustainability of projects like Rust, rather than relying solely on developer passion [12]
X @xAI
xAI· 2025-08-28 18:12
Grok Code Fast 1 is versatile across the full stack and is particularly strong at TypeScript, Python, Java, Rust, C++, and Go.Using Grok Code Fast 1, @DannyLimanseta built the following game in a day. https://t.co/rz2RgBno5l ...
OpenAI 工程师最新演讲:代码只占程序员核心价值的 10%,未来属于“结构化沟通”
AI科技大本营· 2025-07-15 08:32
Core Viewpoint - The core argument presented by Sean Grove from OpenAI is that the primary output of engineers should not be viewed as code, but rather as specifications that effectively communicate intent and values, bridging the gap between humans and machines [1][3][4]. Group 1: Code vs. Communication - The value created by engineers is largely derived from structured communication, which constitutes approximately 80% to 90% of their work, while code itself only represents about 10% to 20% of the value [8][10]. - Effective communication is essential for understanding user challenges and achieving the intended goals of the code, making it the true bottleneck in the engineering process [10][12]. - As AI models advance, the ability to communicate effectively will become a critical skill for engineers, potentially redefining what it means to be a successful programmer [11][12]. Group 2: The Superiority of Specifications - Specifications are considered a superior product compared to code because they encapsulate all necessary information without loss, unlike code which is a "lossy projection" of the original intent [24][25]. - A well-structured specification can generate various outputs, including code in different programming languages, documentation, and other forms of communication, thus serving as a more versatile tool [25][27]. - The OpenAI Model Specification serves as an example of how specifications can align human values and intentions, allowing for contributions from diverse teams beyond just technical personnel [27][28]. Group 3: Case Study - The Sycophancy Issue - The "Sycophancy Issue" with GPT-4o illustrates the importance of having clear specifications to guide model behavior and maintain trust with users [30][32]. - The existence of a specification that explicitly states "Don't be sycophantic" allowed OpenAI to address the issue effectively and communicate their expectations clearly [31][32]. Group 4: Future Implications of Specifications - The future may see specifications becoming integral to various fields, including law and product management, as they help align intentions and values across different domains [26][47]. - The concept of specifications could evolve into a more dynamic tool that aids in clarifying thoughts and intentions, potentially transforming integrated development environments into "Integrated Thought Clarifiers" [48][49].
从3个月业余项目到全球第一语言,Python之父坦言:当年“将就”的代码,如今全都真香了
3 6 Ke· 2025-06-16 10:03
Core Insights - Python has become one of the most popular programming languages globally, surpassing Java, with a Tiobe index score of 25.35% and a PyPL index score of 30.41% as of May 2025 [1][2] - Guido van Rossum, the creator of Python, raised the question of whether the "Worse is Better" philosophy still applies today, reflecting on its historical significance in Python's development [2][10] Development History - Guido van Rossum began developing Python during the Christmas holiday of 1989, inspired by the ABC language and the need for a more efficient tool for UNIX systems [3][4] - The initial development of Python took only three months, during which van Rossum handled all coding, leading to a functional language that could run code interactively [3][9] Philosophical Comparison - The "Worse is Better" philosophy emphasizes simplicity in implementation over perfection, contrasting with the "MIT Method," which prioritizes correctness and elegance [4][5] - This philosophy has been instrumental in the success of Python, allowing for rapid iteration and community involvement, as early compromises were gradually improved over time [6][9] Current Challenges - Van Rossum noted that the current development environment requires significant resources and time for new features, contrasting sharply with the early days of Python [10] - The community's ability to contribute has diminished, with fewer individuals capable of making substantial contributions compared to the past [10] Future Directions - The integration of Rust with Python through projects like PyO3 is seen as a way to enhance Python's capabilities while maintaining the "Worse is Better" approach [11][12] - Van Rossum advocates for increasing community involvement in Python's development to foster a sense of ownership and engagement among developers [13]
18天光速打脸!OpenAI刚夸TypeScript最合适,转头就用Rust重写Codex CLI
AI前线· 2025-06-07 04:41
整理 | 华卫 刚刚,OpenAI 正式对外推出了 AI 编码神器 Codex,其目前向 ChatGPT Plus 用户开放。据 悉,Codex 在限定时段内提供宽松的使用额度,但在需求高峰期间,可能会对 Plus 用户设置速 率限制,以确保其能广泛可用。 并且,现在 Codex 可以在任务执行过程中访问互联网了,用户可用其安装基础依赖项、运行需 要外部资源的测试、升级或安装构建新功能所需的软件包等。互联网访问功能将向 ChatGPT Plus、Pro 和 Team 用户开放,之后也将支持企业版用户。不过,该功能日常默认处于关闭状 态,在创建新环境或编辑现有环境时可随时启用。 "我们不再处于集成开发环境(IDE)时代了。我们进入了自主开发时代。"有网友激动地表 示,"这是一个能自行搜索、安装、编码、测试、修复错误并发布的 AI。"此前 OpenAI 的 CEO Sam Altman 曾坚称,到今年年底,AI 模型将能够超越初级软件工程师。 值得一提的是,在发布推出 Codex 前,OpenAI 首先宣布了用 Rust 重写 AI 命令行编码工具 Codex CLI 的消息,称此举可提升性能和安全性并避免对 N ...