App Store 沉寂多年的曲线上，突然出现了一个垂直上升的惊人拐点。 2024年下半年开始，iOS应用商店的新应用提交量直接从长期持平的约5万个，疯涨至7.8万个，涨幅高达60%。 苹果审核团队面临的是一场前所未有的DDoS级人力攻防战。但这波激增背后的主角，绝非熬夜秃头的传统程序员。 特斯拉前AI主管Andre Karpathy为这种邪门的操作取了个极具赛博感的名字：Vibe Coding。 iPhone问世18年后，App Store迎来了一场诡异的「逆生长」。新应用提交量突然暴增60%，这并非因为程序员效率翻倍，而是「编程」这一动作正在被 AI彻底消解。当氛围感取代了逻辑，一场属于外行人的暴力美学革命正式收割战场。 而在Vibe Coding模式下，借助Cursor+Claude 3.5 Sonnet的组合，这个周期被压缩到了24小时。 根据Sensor Tower的监测，2025年移动市场非游戏应用收入首次超越游戏应用，达到856亿美元。 这背后是无数个「一人公司」的崛起。他们利用AI快速催生出大量极简工具、AI助手和垂类生活应用。 无需理解多线程或Swift语法，只需像个甲方对着Cursor指令 ...

当 OpenAI 也开始努力追赶 Vibe Coding 的热潮，新推出 CodeX MacOS 桌面端应用后，苹果系的开发者大本营——苹果 Xcode，也终于正式迎接 AI 的加 入。 当地时间 2026 年 2 月 3 日，苹果公司正式发布了 Xcode 26.3 版本，最引人关注的特性，是引入了「智能体编程」支持。 开发者现在可以直接在苹果的集成开发环境中，调用来自 Anthropic 的 Claude Agent，和来自 OpenAI 的 Codex 等 AI 智能体。 与以往单纯的代码补全建议不同，这些智能体通过模型上下文协议与 Xcode 深度集成，能够以更高的自主性执行复杂任务。 根据苹果官方介绍，集成后的 AI 智能体可以浏览和搜索整个 Xcode 项目结构；读取、写入、编辑、移动和删除文件；根据指令构建项目；甚至自动抓取 苹果官方开发者文档来解决问题。 作为苹果开发者的大本营，Xcode 引入 AI，会是普及「Vibe Coding」的又一把火吗？ 01 功能强大了，但也更「莽撞」了 其实，早在 2024 年发布的 Xcode 16 时代，苹果就尝试引入 AI 功能。不过，当时大模型的爆发仍 ...

一位学音乐、零技术基础的Meta产品经理，在一次旅行中偶然被Claude唤醒了「超能力」！他利用AI重构工作流，2天竟能干完一个团队几周 的活。 不会用AI的人，终将被那些善用AI的人取代！ 在AI浪潮下，这句话曾像警钟一样敲打着无数人的神经。 但如今，这句话却演绎出了一个全新的版本： 当他看到演示视频中，有人仅用自然语言就构建出完整的应用程序时，一种电流般的战栗感瞬间击穿了他。 「嗨，你现在拥有超能力了。」 他甚至没来得及解开行李箱，就冲向了电脑。 那一刻他意识到：那堵横亘在他与创造力之间的高墙，被推倒了。 Zevi的故事绝非孤例。 AI正在把构建未来的权力，交还给每一个有想法的普通人。 主持人Lenny（左）与Meta产品经理Zevi Arnovitz（右） 在最新的《Lenny's Podcast》中，Zevi分享了自己的这段有趣经历。 借助Cursor和Claude，他不仅治愈了对代码的恐惧，更重新定义了产品经理的边界。 AI不会替代你，而会为你推倒那道挡在你与梦想之间的技术高墙。 Meta产品经理Zevi Arnovitz就是一个很好的例子。 高中搞音乐，大学读心理，Zevi的履历上写满了「非技术」 ...

转自： 新智元 这哪是在造软件？这分明是在堆砌一座随时会崩塌的「数字尸山」。 最讽刺的是，作为AI编程最大的既得利益者，Michael Truell面对自己亲手制造的这头「巨兽」，竟 然流露出了某种恐惧 。 【导读】 这是硅谷近期最大的黑色幽默：Cursor CEO亲拆自家招牌。当「Vibe Coding」变成 一场盲目的狂欢，技术次贷危机的引信已被悄悄点燃。 就在上周，科技圈围观了一场名为奇迹，实为葬礼的闹剧。 Cursor的CEO Michael Truell，这个亲手开启了「对话即编程」时代的男人，做了一个疯狂的压力测 试。 他放出数百个 GPT-5.2智能体 ，在 168小时 里写出了超过 300 万行Rust代码， 目标是复刻人类工业 文明的皇冠——浏览器。 结果呢？ 代码量确实血洗了GitHub，但最终连顺畅地加载出一个谷歌首页都做不到。 他对这种狂欢泼了一盆冷水： 当你闭上眼睛Vibe Coding，本质上是在流沙地基上疯狂堆楼。 这正是当下Vibe Coding最真实的写照： 后端逻辑看似写实、壮观，实则充斥着AI生成的无效循环和 幻觉逻辑； 前端展示则像梗图一样，幼稚且崩坏。 如果你们继续闭 ...

Core Insights - Kimi has launched its K2.5 model, which features enhanced aesthetic capabilities and supports multimodal recognition for videos, significantly improving the visual quality of AI-generated web pages [1][5][32] Group 1: Design Capabilities - K2.5 can better adhere to design drafts and prompts, making it easier for designers to realize their visions [8] - For non-designers, K2.5 simplifies the process by allowing users to input content without needing to find attractive design references [8] - The model has shown proficiency in replicating complex interactive components, such as a tab-switching interaction video, demonstrating its advanced multimodal and code generation capabilities [9][17] Group 2: Iterative Design Process - The iterative process with K2.5 allows for easy feedback through screenshots and annotations, leading to quick adjustments and refinements [13][19] - After several iterations, K2.5 successfully recreated a smooth animation effect for a card component system, showcasing its ability to handle multiple card types and animations [30][31] - The model can generate a design system website based on specific prompts, indicating its capability to create comprehensive design specifications [46][49] Group 3: Performance and Limitations - K2.5's performance is notably enhanced in the Agent mode, which allows for higher task completion rates by utilizing virtual machines and various tools [39] - Despite significant improvements, K2.5 still struggles with capturing precise design details, such as small corner radii and specific color values, which remains a challenge for multimodal models [66][68]

Core Insights - ByteDance has launched "Kouzi 2.0," which includes new features like a skill store and long-term plans, positioning itself as "Workplace AI, use Kouzi" [1] - The evolution of Kouzi from a development platform to a coding tool reflects a strategic shift towards Vibe Coding, allowing users to develop their own skills [1][2] Development Journey - The Kouzi project has evolved over the past two years, initially resembling an early-stage startup rather than a well-planned product under ByteDance [2] - The team initially aimed to create a platform enabling everyone to gain programming skills through AI but shifted focus to a no-code chatbot construction platform due to challenges with existing coding capabilities [4][5] - Early user growth was driven by novelty, but the team recognized the need for sustainable value beyond initial engagement [6] User Insights and Strategic Shifts - The team discovered that high-frequency user scenarios primarily came from internal enterprise needs, leading to a pivot towards workflow solutions [7][10] - The introduction of workflows, initially seen as less appealing, became a crucial element in enhancing user engagement and value delivery [6][7] Product Evolution and Features - Kouzi has transitioned from a tool-focused approach to a partnership model, emphasizing long-term user relationships and ongoing support [20][22] - The introduction of "Kouzi Space" and the skill store allows users to upload and download skills, creating a repository of capabilities that can be leveraged for various tasks [11][17] Future Directions - The focus on "Vibe Coding" and the integration of skills aims to establish Kouzi as a "technical partner" for white-collar users, enhancing their productivity and efficiency [14][23] - The company is positioning itself to meet the needs of users looking to build their own systems rather than merely consuming existing tools, aiming for a deeper engagement with its user base [23]

Core Viewpoint - The era of human-written code is coming to an end, as AI is fundamentally changing programming practices and roles within the industry [1][4][14]. Group 1: Key Figures and Contributions - Ryan Dahl, the creator of Node.js, emphasized that the age of human coding is over, having previously revolutionized backend development with his framework [3][4]. - Salvatore Sanfilippo, co-founder of Redis, highlighted that programming has been permanently altered by AI, marking a significant shift in the industry [4][5]. - The AI programming tool Copilot, based on OpenAI Codex, has reportedly accelerated development speed by over 50% [8]. Group 2: AI Programming Trends - AI programming and concepts like Vibe Coding have gained significant traction, with tools like Claude Code enabling full-stack development and optimization [8][9]. - ByteDance's native programming tool TRAE generated 100 billion lines of code in 2025, equivalent to the output of 3 million programmers working continuously for a year [10]. - A Stack Overflow report indicated that 84% of developers use AI tools, with 69% believing these tools enhance productivity [10]. Group 3: Future of Programming Roles - The programming landscape is shifting from syntax-focused coding to intent-driven development, where human roles are evolving from code writers to requirement editors [7][20]. - Despite the rise of AI, industry leaders assert that programmers will not be replaced but will instead focus on maintaining and improving AI-generated code [16][20]. - Linus Torvalds, initially critical of AI-generated code, acknowledged its potential as a valuable entry point for new programmers, reinforcing the idea that human oversight remains essential [18][20].

Core Insights - The emergence of the Vibe Coding paradigm is driving the explosion of the creator economy, with AI applications facing a significant "engineering gap" from creativity to commercialization [1] - The launch of the Zero Cloud AI application hosting platform aims to eliminate barriers to deployment and usage, establishing the infrastructure for the intelligent agent economy [1] - By 2026, the Vibe Coding economy is expected to mature, creating a trillion-dollar market and millions of "one-person companies" (OPCs) [1] Group 1: Zero Threshold Solutions - Zero Cloud has developed a "double zero threshold" solution that addresses industry pain points, enabling creators to deploy AI applications without barriers [2] - The platform features an intelligent deployment engine that seamlessly integrates with major development platforms, allowing for automated code structure analysis and environment dependency resolution, achieving minute-level deployment [2] - The platform provides a transparent revenue-sharing mechanism, completing the commercial loop from creation to monetization [2] Group 2: Empowering Individual Creators - Zero Cloud has initiated two core plans: the "OPC Full-Stack Support Plan" for early-stage creators and the "Promoter (FDE) Cooperation Plan" to connect AI applications with vertical industries [3] - The platform's competitive advantage stems from a team with over ten years of experience in AI commercialization and entrepreneurship, combining industry vision with developer expertise [3] - The launch of the Zero Cloud platform signifies a structural transformation in the AI application ecosystem, accelerating the arrival of an inclusive intelligent agent economy driven by individual creativity [3]

智东西1月16日报道，今天，据彭博社报道，美国Vibe Coding（氛围编程）独角兽Replit即将完成一笔新的融资交易，计划筹集大约4亿美元（约合人民币 27.87亿元）的资金，其投后估值或将达到约90亿美元（约合人民币627.15亿元），大约是上轮融资时估值的3倍。 去年9月，Replit刚刚完成一轮2.5亿美元（约合人民币17.42亿元）的融资，估值为30亿美元（约合人民币209.05亿元）。自2016年成立以来，Replit已经完 成了10次融资，累计融资总额为4.72亿美元（约合人民币32.89亿元）。 Replit还在2025年迈入了"1亿美元ARR（年度经常性收入）俱乐部"。在AI应用赛道，能迈过这一门槛的企业屈指可数，都是头部玩家，比如Perplexity、 Character.AI等。而具体到Vibe Coding这一赛道，目前仅有Cursor、Lovable和Replit三家实现了这一目标。 与传统编程依赖开发者逐行编写代码不同，Vibe Coding更强调表达意图，用户只需描述想做什么，AI会自动完成需求拆解、代码生成、调试、部署甚至 数据库配置等完整流程。 不过，Replit并非一开 ...

Core Insights - The article discusses the emergence of "Vibe Coding," a programming approach that emphasizes creative collaboration with AI, highlighting the rapid growth of AI unicorns like Lovable and DeepWisdom's success in this space [2][3]. Group 1: Company Overview - DeepWisdom, a Shenzhen-based company, has gained recognition for its open-source projects, including MetaGPT, which has nearly 60k stars on GitHub [4]. - The company's product, MetaGPT-X (MGX), launched in February 2025, achieved 500,000 global registered users and an annual recurring revenue (ARR) of $1 million within a month of its release [4][22]. - As of September 2025, MGX maintained a monthly visit count of 1.2 million, generating over 10,000 applications daily [5][6]. Group 2: Funding and Growth - DeepWisdom secured approximately 220 million yuan in funding during the first half of 2025 from notable investors, including Ant Group and Baidu Ventures [7]. - The company aims to create a complete commercial AI coding tool that provides users with a full business loop, moving beyond mere academic pursuits [8][9]. Group 3: Product Development and Features - The newly launched product, Atoms, is designed to be a comprehensive solution for users, integrating backend systems, databases, user authentication, and payment systems, allowing for the rapid deployment of fully operational websites [10][11]. - Atoms is reported to achieve over 45% effectiveness compared to competitors at only 20% of the cost, making it a cost-effective option for users [10][25]. Group 4: Market Position and Strategy - DeepWisdom's strategy includes a focus on high efficiency and flexibility, with plans to expand its team from 80 to 100-120 members by the end of 2025 [33]. - The company emphasizes the importance of a larger team size in the competitive AI landscape, countering the trend of "one-person" or "ten-person" startups [30][33]. Group 5: Research and Development - DeepWisdom has submitted nine papers to top conferences like NeurIPS, with three selected for oral presentations, showcasing its commitment to academic research [18]. - The company believes that continuous academic accumulation and breakthroughs are essential for achieving explosive success in AI development [8][9]. Group 6: User Engagement and Community - The company has successfully built a community around its open-source projects, leading to significant user engagement and feedback, which informs product development [21][22]. - A notable user story includes a Canadian mechanic who developed a 2D robot battle game using Atoms, demonstrating the platform's accessibility for non-programmers [27].