机器之心报道 机器之心编辑部 从编程开始，今年智能体要卷飞了！！！ 昨天，OpenAI CEO 奥特曼预告了一项新研究，吊足了所有人的胃口。 就在刚刚，谜底揭晓！OpenAI 宣布， 在 ChatGPT 中引入了 Codex 的研究预览版。 Codex 是一个云端软件工程智能体，可以并行处理多项任务 ，包括编写功能、解答代码库相关问题、修复 bug 以及提交拉取请求以供审核等。并且，每个任务都 在其专属的云沙盒环境中运行，并预加载代码库。 Codex 背后的模型是 codex-1，它是 OpenAI o3 的一个版本，专门针对软件工程进行了优化。 它使用强化学习在各种环境中针对真实编程任务进行训练，生成的 代码能够高度反映人类的风格和 PR 偏好，精确遵循指令，并可以迭代运行测试，直到获得合格结果。 自今天开始，ChatGPT Pro、Team 和 Enterprise 用户即可使用 Codex，Plus 和 Edu 用户也很快可以上线使用。 对于 OpenAI 的新智能体产品，大家的反应似乎非常兴奋。有人表示自己被震撼到了，迫不及待想要体验一番。十年前学习编程时，绝对想不到这会成为可能。 也有人认为，Cod ...

Group 1 - The article discusses the unique personality traits of male programmers, highlighting their logical thinking and problem-solving skills [1][3] - It illustrates how programmers approach challenges methodically, often breaking down problems into smaller parts, as seen in a story about a programmer diagnosing a rice cooker issue [3][4] - The article emphasizes the patience of programmers, exemplified by a programmer who spent seven hours debugging a single line of code [3][4] Group 2 - The article mentions the humorous side of programmers, noting that their jokes often require a specific context to be understood, such as a programmer's comment about cooking time for food [4] - It highlights the increasing interest in IT careers, with a personal story of an individual transitioning from automotive repair to front-end development, achieving a salary of 15k in Shanghai [5] - The article points out the high employment rate of 92% for students from a specific online programming course, indicating the effectiveness of their teaching methods [5]

Core Viewpoint - OpenAI has agreed to acquire Windsurf for $3 billion, highlighting the growing importance of AI programming tools in the software development industry [1] Group 1: SWE-1 Model Overview - Windsurf has launched its AI programming model, SWE-1, which focuses on the entire software engineering process rather than just coding tasks [1] - SWE-1 features "Flow Awareness," allowing for a seamless collaboration between AI and users, where AI performs tasks, users provide corrections, and AI continues the process [1][34] - The SWE-1 series includes three models: SWE-1, SWE-1-lite, and SWE-1-mini, catering to different user needs and performance requirements [5][28] Group 2: Development and Evaluation of SWE-1 - The development of SWE-1 was inspired by the popular Windsurf editor, utilizing a new data structure and training method to understand incomplete states and long-term tasks [13][14] - SWE-1 has been evaluated against leading models like Anthropic's series and has shown competitive performance in both offline assessments and real-world usage [21][22] - The model's performance metrics include the number of code lines accepted by users and the contribution rate of code changes made by the model [24][26] Group 3: Importance of Flow Awareness - Flow Awareness is a key design principle for Windsurf, enabling a shared timeline between AI and users, which enhances collaboration and task management [33][34] - This system allows for continuous tracking of the model's capabilities and user interventions, facilitating a more effective development process [37][41] - The evolution of the shared timeline concept is central to Windsurf's goal of creating a comprehensive software engineering timeline [39] Group 4: Future Prospects - SWE-1 is just the beginning, with Windsurf aiming to continuously improve the SWE series models while maintaining low costs and enhancing performance [42] - The acquisition by OpenAI marks a new era for AI programming tools, transforming the software development landscape [42][43]

【编者按】GitHub Copilot 智能体模式 (agent mode) 正式登录 Visual Studio！ 责编 | 梦依丹 出品丨AI 科技大本营（ID：rgznai100） 微软 Visual Studio 官方 X 上正式宣布，备受期待的 GitHub Copilot 智能体模式 (agent mode) 正 式登陆 Visual Studio 17.14 预览版！ 开发者通过一个提示即可让 Copilot 自主处理从计划、构 建、测试到修复的整个开发流程。 自主确定上下文与编辑文件： 无需你手动指定，Copilot 能智能判断并找到需要编辑的相 关上下文和文件； 建议终端命令供你审批执行： 它会为你生成必要的终端命令，并在你确认后执行； 持续迭代直至任务完成： 它会不断检查错误，运行构建/测试来验证结果，直到任务最终搞 定； 通过 MCP 服务器调用可信工具： 它能够调用你开发环境中的 linter（代码风格检查工 具）、test runner（测试运行器）和 static analyzer（静态分析器）等受信任的工具。 在 Copilot Chat 窗口中，切换到"Agent (智能体)" ...

Core Insights - The market for generative AI programming assistants is rapidly growing, with a projected global market size of $25.9 million in 2024, expected to reach $97.9 million by 2030, reflecting a compound annual growth rate (CAGR) of 24.8% [2] - In China, the CAGR is anticipated to be 23.5%, leading to a market size of $14.9 million by 2030 [2] - Recent significant investments include Anysphere's $900 million Series C funding and OpenAI's $3 billion acquisition of Windsurf [2][3] Market Developments - Anysphere's valuation reached $9 billion, with an annual recurring revenue (ARR) exceeding $200 million as of April this year [2] - Windsurf's ARR grew from $40 million in January to $100 million by April, indicating strong market demand [3] - Major cloud providers are enhancing their AI programming tools, with AWS, Google, and Microsoft launching competitive products [3] Competitive Landscape - New entrants in the AI programming space include Tencent's CodeBuddy, which reportedly improved development efficiency by over 16% [4] - The AI programming sector has seen significant investment activity, with multiple companies securing funding from prominent venture capital firms [5] - Cursor, developed by Anysphere, is gaining traction as a notable competitor to GitHub Copilot, serving 30,000 clients including major firms like OpenAI and Midjourney [13] Technological Innovations - AI programming tools are increasingly integrated into cloud-native development environments, aligning with modern software architecture trends [7] - The concept of "vibe coding," introduced by OpenAI co-founder Andrej Karpathy, emphasizes a new programming approach where developers interact with AI to generate code through natural language [6][7] - GitHub Copilot has become a widely adopted tool, with over 77,000 organizations using it and more than 1.8 million paid subscribers [10] Challenges and Considerations - Despite the benefits, AI programming tools face skepticism regarding their reliability and the quality of generated code, particularly in complex projects [16][19] - Developers express concerns about the need for thorough testing and validation of AI-generated code to ensure it meets project requirements [18][19] - The economic pressures on IT budgets may lead companies to seek cost-effective alternatives to traditional software solutions, potentially impacting the adoption of AI programming tools [19]

整理 | 梦依丹 出品丨AI 科技大本营（ID：rgznai100） 和 AI 聊聊天，程序就写好了。这就是 2025 年爆火的 "Vibe Coding"（氛围编程），这一概念是由前 OpenAI 研究员 Andrej Karpathy 提出，他直 接在社交平台 X 上展示了自己即使完全不会 Swift，也能靠 AI 在一小时内搓出个 iOS 应用的例子。 「氛围编程」从概念到「印钞机」 在 AIGC 大行其道的当下，AI 辅助编程已蔚然成风。其中，备受开发者青睐的 AI 编码神器 Cursor 正迅速成为 VS Code 的有力竞争者。就在昨天，腾 讯也强势入局，推出了其 AI 编程助手 CodeBuddy——不仅搭载全新 Agent 智能体，更是中国首个支持 MCP (Model Context Protocol) 的代码助 手，并全面增强了产品能力。 与此同时，也有不少开发者晒出自己利用 Vide Coding 的变现路径。 X 用户 @mikestrives 就在平台上分享了自己的惊喜收获： "我做到了！ 用氛围编程在 30 天内打造一个 AI 产品，实现了 $7,000 月收入（MRR）！全程只用 ...

Core Viewpoint - The integration of AI and programming education is essential for nurturing future scientists and enhancing cognitive skills in children, as emphasized by Nobel laureate George Smoot and the founder of Yuan Programming, Li Yi [1][2][6]. Group 1: Importance of Programming Education - Programming is not merely a technical skill but a critical thinking tool that enhances cognitive abilities and prepares children for future challenges in a digital world [2][9]. - Smoot highlights that understanding the underlying algorithms of AI systems is crucial for maintaining human agency in an AI-driven future [2][3]. - The traditional focus on skill acquisition in programming education is insufficient; the emphasis should be on developing a comprehensive understanding of AI and its implications [2][6]. Group 2: AI Collaboration and Human Creativity - The future will see a collaborative relationship between humans and AI, where AI handles repetitive tasks while humans focus on creative decision-making [3][6]. - Smoot illustrates this with the example of autonomous vehicles, where engineers who understand the algorithms are irreplaceable [3][6]. - The educational practices at Yuan Programming validate the importance of interdisciplinary thinking, as students use programming to enhance their creative writing and problem-solving skills [3][10]. Group 3: Yuan Programming's Achievements - Since its establishment in 2017, Yuan Programming has served over 6 million students and achieved global recognition in three international AI competitions [5]. - The organization has built a leading community for children's programming in China, with over 200,000 active students and more than 1 million creative works produced [5][6]. - Yuan Programming's approach emphasizes the cultivation of computational thinking through practical projects and AI interactions, fostering independent thought among students [6][9]. Group 4: The 4C Framework - The "4C framework" developed by Yuan Programming focuses on cognitive abilities, compound thinking, cross-discipline integration, and self-efficacy to prepare students for future challenges [6][7]. - The framework aims to enhance foundational cognitive skills through progressive programming training, which is crucial during the critical developmental period of ages 4 to 16 [9][10]. - By integrating various subjects, Yuan Programming allows students to see the connections between mathematics, language, and science through programming, making abstract concepts more tangible [10].

作者 | 凌敏 氛围编程（Vibe Coding）彻底火了，甚至已经成为硅谷近期最火热的概念。 今年 2 月，OpenAI 联合创始人、前特斯拉 AI 负责人 Andrej Karpathy 提出氛围编程概念：你完全沉浸在氛围里，拥抱指数式增长，甚至忘记代码本身 的存在。"我只是看到什么就说什么，运行，复制粘贴，然后基本能跑起来。如果发生错误，就把错误信息再塞给 AI，接受它的改动，试试看能不能 行，然后反复这个流程。" 随后，氛围编程在国内外的科技社区迅速走红，一度成为开发者群体的"新精神图腾"。YC CEO Garry Tan 更是直言："氛围编程不是一阵风潮，也不会 消失；它是编码的主流方式，如果你不这么做，就可能被落在后面。" 与传统的软件开发相比，氛围编程更强调通过自然语言描述需求，由 AI 自动生成代码。这种方式极大地简化了开发流程，开发者能够专注于创意和功能 实现，而不是代码细节。此外，氛围编程也能让完全没有技术背景的人参与到编程中来。 人人都是程序员的畅想，在这一刻更加清晰了。 而氛围编程之所以可行，正如 Karpathy 所说的那样： 大模型已经强大到离谱了。 如今的大模型，编程能力早已不在 ...

➢ 稀缺的国产 IDE 工具，"AI+IDE"双向布局打开长期成长空间。1） SnapDevelop 是独立自主研发的国产 IDE，积极推进对鸿蒙原生开发的支持。 同时，通过 EazyDevelop 在"AI+IDE"方向持续探索，构建由 AI 主导的全流程 软件开发平台。公司与国内头部前端开发者平台 DCloud 战略合作（拥有超过 900 万的前端开发者用户群体，手机端引擎月活跃用户数超过 10 亿），将通过 包括开发者社区等方式进行全方位推广与宣传。2）EazyDevelop 全面融入 MCP 生态，AI Agent 时代优势凸显。EazyDevelop 支持 MCP 协议，通过该协议支 持复杂的 AI 任务编排与执行控制，重点支持代码类的 MCP 工具，也将在未来上 线云服务市场，提供 MCP 等服务。平台内置包括产品经理、架构师、工程师、 测试等多个智能体，协同完成开发任务，支持企业自定义和扩展 Agent，增强业 务适配力。 ➢ 投资建议：公司收购艾普阳切入 IDE 领域，"AI+IDE"打造 AI 编程时代基 础软件龙头，与 DCloud 等头部平台合作有望进一步加速 IDE 产品推广进程，打 ...

从智能机器人到航天工程，从运动科技到医疗健康，磁性超材料具有广泛的应用潜力。在软体机器人领 域，这种超材料可化身为"智能护甲"，实现冲击吸收的自动调节；在运动鞋底植入这类材料后，其能 像"会思考"的弹簧，动态调整各区域软硬度，从而实现更高的跑步效能；在医疗应用领域，这些"磁性 精灵"可在磁场引导下疏通血管。（记者刘霞） 【总编辑圈点】 西班牙马德里卡洛斯三世大学与美国哈佛大学联合研究团队通过实验证实，只需调整内部磁体排列或施 加外部磁场，就能改变磁性超材料的力学和结构特性。这一成果有望为生物医学、软体机器人等领域带 来更多创新应用。相关研究成果发表于最近的《先进材料》杂志。 超材料作为人工设计的智能材料，能够实现自然界材料所不具备的超常物理性质（如负折射率、负磁导 率等）。研究团队创造性地将微型柔性磁体排列成旋转的菱形阵列，通过动态调整磁体分布或施加外部 磁场，可使磁性超材料整体展现出可调控的刚度与能量吸收能力。这种"变形金刚"般的特性，此前从未 在传统材料中出现。 在实验中，研究团队系统分析了磁体取向、剩磁特性及材料刚度间的细微关联。他们发现：改变磁体排 列方向，或精确调控磁体间距产生的相互作用，都能让超材 ...