2026 is turning out to be an apocalyptic year for software stocks, as investors juggle the question of whether or not AI and vibe coding will be able to break the bulwark of enterprise software'sWith combined experience of covering technology companies on Wall Street and working in Silicon Valley, and serving as an outside adviser to several seed-round startups, Gary Alexander has exposure to many of the themes shaping the industry today. He has been a regular contributor on Seeking Alpha since 2017. He has ...

「OpenClaw 项目每小时能收到上百个 pr，甚至很多 PR 的提交者自己都不知道这段代码是怎么来 的。代码开始成为了一种负债。」 「当代码都是 AI vibe 出来的，测试其实比真实代码更值钱。」 「以前，工程师的核心能力是做 Feature Coding，但现在你会更注重整个 Platform Engineering 的事 情。」 ...... OpenClaw 已经持续发酵了半个多月。 在这段时间里，我们看到的一个趋势是，OpenClaw 正在从一个单纯的极客「玩具」，逐渐在各种具体 业务中被实际用起来、作为一个可落地的生产力工具来提效。国内的几家基模大厂，也陆续发布了类似 产品或功能。 于是，在组织了第一场 闭门 之后，我们决定找离 OpenClaw 最近的一群人：一线开发者、技术 founder、明星创企的核心工程师，聊聊在概念、热度之外，他们在各种实际业务中是怎么用 OpenClaw 的，以及一些真实的思考与困惑。 这场闭门分享，很硬核，我们整理了部分精彩内容。 PS：考虑到是闭门分享交流，我们对一些嘉宾进行了匿名化处理。 ⬆️ 关注 Founder Park，最及时最干货的创业分享 超 19 ...

Core Viewpoint - The article discusses the emergence of the role of "Vibe Coder" at Lovable, an AI-driven website and application building platform, highlighting the shift from traditional coding to a more conversational approach with AI tools [2][10]. Group 1: Company Overview - Lovable is valued at $6.6 billion (approximately 45.7 billion RMB) and has 8 million users with 517 employees as of the end of 2025, indicating a high per-employee valuation nearing 100 million RMB [2]. - The company has achieved significant growth, doubling its Annual Recurring Revenue (ARR) from $100 million to $200 million within four months [4]. Group 2: Role of Vibe Coder - The first official Vibe Coder at Lovable, Lazar Jovanovic, spends 80% of his time on planning and dialogue, with only 20% on execution, emphasizing the importance of clear communication over traditional coding skills [11][28]. - The role of Vibe Coder is a natural evolution in the AI landscape, where the focus has shifted from coding to articulating product requirements effectively [10]. Group 3: Vibe Coding Process - Jovanovic employs a unique approach by running multiple versions of ideas in parallel, using various methods such as voice brainstorming and reference images to clarify requirements before executing [12][42]. - He emphasizes the importance of creating a structured workflow, including generating Product Requirement Documents (PRDs) and maintaining clear guidelines for AI tools to follow [48][51]. Group 4: Skills and Mindset - A non-technical background can be advantageous in this new role, as it allows for a more open-minded approach to problem-solving without preconceived limitations [25]. - The article stresses the need for clarity in communication with AI tools, as the quality of output heavily relies on the specificity of input provided [32][40]. Group 5: Future of Work - The traditional job titles such as programmer, product manager, and designer are becoming less relevant as roles evolve into a combination of skills, focusing on the ability to create value through AI collaboration [68][70]. - The future workforce will likely be defined by a blend of capabilities rather than single labels, with an emphasis on judgment and aesthetic sensibility over technical skills [69][71].

Core Viewpoint - The article discusses the recent sell-off in global software stocks, termed "SaaSpocalypse," triggered by the launch of Anthropic's Claude Cowork, which poses a significant challenge to traditional SaaS business models by offering high-level results at lower costs [5][10]. Group 1: Market Reaction - On February 4, major software companies experienced significant stock declines, with Thomson Reuters dropping 15.8%, LegalZoom nearly 20%, and Salesforce and Workday also seeing notable decreases [5]. - The S&P 500 Software and Services Index fell nearly 13% over five trading days, marking a 26% drop from its October peak [5]. - The sell-off is compared to a previous market panic caused by DeepSeek, highlighting the similarities in market reactions to disruptive AI technologies [7][10]. Group 2: Comparison of Two Market Panics - The panic caused by Cowork is expected to be more prolonged than that of DeepSeek, as Cowork represents a novel AI application, while DeepSeek was a cheaper alternative to existing models [10]. - The market's response to both events shows a pattern of overreaction, with analysts suggesting that the fears may be exaggerated [9][10]. - Cowork's impact has spread beyond the U.S. to global markets, affecting stocks in London, Tokyo, and India, indicating a broader concern within the tech industry [11]. Group 3: SaaS Pricing Models and Challenges - Traditional SaaS pricing models are under pressure, with many companies shifting from fixed pricing to usage-based models due to increased efficiency and cost-cutting measures [14][15]. - The average SaaS company in the PricingSaaS 500 index has experienced 3.6 pricing changes per year, with a significant increase in companies adopting usage-based pricing [15]. - Companies like Salesforce have struggled with pricing strategies, leading to a transition from fixed pricing to more flexible models to accommodate rising operational costs [15][17]. Group 4: Emergence of AI-Native Startups - AI-native startups are gaining traction, with their revenue growth rates significantly outpacing traditional SaaS companies, highlighting a shift in enterprise spending towards these new players [18]. - For instance, companies like Harvey and Glean have achieved valuations of $5 billion and $7.25 billion, respectively, indicating strong investor interest in AI-driven solutions [18]. - The article notes that AI-native companies are expected to capture over half of enterprise AI spending, reflecting a fundamental change in the software landscape [18]. Group 5: Vibe Coding and Its Implications - The rise of Vibe Coding could lead enterprises to create their own tools rather than relying on third-party SaaS products, potentially disrupting traditional software markets [20][21]. - If Vibe Coding matures, it may enable employees to develop solutions quickly, reducing reliance on complex software development processes [21]. - The article suggests that traditional software companies may face a "three-step path to extinction" if they fail to adapt to these emerging trends [22].

Core Viewpoint - The article emphasizes the effectiveness and user-friendliness of OpenAI's Codex combined with GPT-5.3, highlighting its advantages over previous versions and competitors in coding applications [3][4][6]. Group 1: Codex Overview - Codex is positioned as a programming agent that has evolved into a general-purpose agent, reflecting the increasing importance of coding skills in the digital age [15]. - The latest version, GPT-5.3-codex, is specifically designed for programming tasks, offering superior performance compared to its predecessor, GPT-5.2 [16][18]. Group 2: User Experience and Features - The article describes the user-friendly graphical interface of Codex, which allows users to manage projects and tasks effectively without relying on command-line interfaces [8][50]. - Codex features a structured organization system with folders for projects and threads for specific tasks, enhancing clarity and reducing context confusion [28][32]. Group 3: Functional Capabilities - Key functionalities include scheduled tasks and a skills management interface, allowing users to automate processes and create custom skills easily [51][55]. - The article highlights the importance of planning features, enabling users to outline project requirements before coding, which can lead to more organized and efficient development [63]. Group 4: Future Implications - The author suggests that the ability to code using AI tools like Codex will become a fundamental skill, akin to using Excel, making coding accessible to non-programmers [78][79].

Core Insights - The software sector is experiencing a significant sell-off, termed "SaaSpocalypse," with major companies like Thomson Reuters and Salesforce facing steep declines in stock prices, with the S&P 500 Software and Services Index dropping nearly 13% over five trading days and 26% from its October peak [1] - The launch of Anthropic's Claude Cowork, a general AI agent capable of interacting with user files, has raised concerns about the viability of traditional SaaS business models, as users may achieve results comparable to expensive enterprise software through natural language commands [1] - The current market panic mirrors a previous incident involving DeepSeek, which also caused a rapid sell-off in tech stocks, highlighting a pattern of investor reaction to emerging AI technologies [2][3] Market Reactions - The sell-off triggered by Cowork has been more prolonged than the DeepSeek panic, with the latter's effects dissipating within a day, while Cowork's impact has spread over a week, affecting markets globally [5] - The Cowork panic is driven by a closed-source model from a U.S. company, contrasting with DeepSeek's open-source model from China, suggesting a deeper challenge to established software companies [4] SaaS Pricing Models - Traditional SaaS companies are transitioning from fixed pricing models to usage-based pricing due to the increased efficiency and accessibility of AI, with 79 out of 500 tracked companies adopting point-based pricing, a 126% increase year-on-year [8] - Companies like Salesforce have struggled with pricing strategies, leading to a shift towards usage-based models as they face rising operational costs [8] AI Integration Challenges - Traditional software companies face resistance to price increases associated with AI integration, as seen in Microsoft's case, where customers rejected higher fees for AI features [9] - Many established firms are struggling to effectively incorporate AI into their existing products, leading to inefficiencies and a lack of user engagement [9] Emerging Trends - The rise of Vibe Coding, which allows individuals and companies to create their own tools, poses a threat to traditional software sales, as businesses may prefer to develop customized solutions rather than purchase third-party software [11] - The demand for software is shifting towards solutions that address specific, non-standard needs, indicating a potential decline in the traditional SaaS model [13]

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 ...

Core Insights - Apple has officially released Xcode 26.3, integrating AI capabilities through Claude Agent from Anthropic and Codex from OpenAI, marking a significant shift in its development environment [1][2][4] - The introduction of "Agentic Coding" allows developers to use natural language commands for various tasks, enhancing productivity and efficiency [4][5] - Despite the powerful features, user feedback is mixed, with some praising the integration while others report issues such as system hangs and poor code comparison [9][10] Group 1: AI Integration in Xcode - Xcode 26.3 introduces predictive code completion and allows AI agents to perform complex tasks autonomously, such as creating files and debugging [4][5] - The integration aims to enhance the development experience by providing seamless access to advanced AI models [7] - Apple's collaboration with OpenAI and Anthropic reflects a strategic move to catch up with competitors like Microsoft, which has already integrated AI into its development tools [10][11] Group 2: Market Position and Developer Ecosystem - The rise of AI-centric coding tools like Cursor and Windsurf has prompted Apple to adapt its IDE to avoid losing developer interest [10][11] - The trend indicates a shift from plugin-based AI capabilities to native integration within productivity software, suggesting a closing window for independent AI tools [11] - The evolving landscape may challenge developers to adapt their skills while also providing opportunities for innovation and efficiency in coding practices [11][12]

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 ...