Core Viewpoint - The article discusses the emergence of two main categories of AI programming products following the popularity of Cursor and AI programming, highlighting their distinct functionalities and target audiences [1]. Group 1: AI IDE Products - AI IDE products like Cursor and Windsurf possess all the capabilities of traditional IDEs, with AI functionalities such as code completion, chat, and agents being supplementary. Users can still write code without utilizing these AI features [2]. - These products cater to a specific audience that is familiar with coding, allowing for a more traditional development experience enhanced by AI tools [2]. Group 2: Vibe Coding Products - Vibe Coding products, such as V0 and Lovable, primarily rely on dialogue with AI coding agents for coding, limiting their ability to view and edit code directly [3]. - Lovable-type products have a broader user base since they allow users to describe their needs in natural language, making them more accessible to non-developers [5]. - However, Vibe Coding products face challenges in accurately translating design elements into code, particularly with nuanced design details that are difficult to describe verbally [5]. Group 3: Figma's Role in Vibe Coding - Figma is positioned as a key player in the Vibe Coding space, leveraging its existing ecosystem to facilitate the conversion of design files into code. The CEO emphasizes "Design as Prompt," indicating that design files serve as precise prompts for code generation [7]. - Figma's new product, Figma Make, allows users to import design files directly and generate web pages, significantly enhancing the expressiveness of the generated output [10]. Group 4: User Interaction and Iteration - Figma Make features a user-friendly interface that supports direct interaction with design elements, allowing for precise modifications without excessive communication with AI [11][12]. - The product also integrates advanced capabilities, such as embedding maps and utilizing 3D materials, enhancing the functionality of web pages created from design files [14][16]. Group 5: Future Implications - The introduction of Figma Make is expected to expand the responsibilities of designers, with the emergence of roles like Prompt Engineer, as designers increasingly engage with coding [19]. - The article suggests that Figma's strategic approach to AI development is more coherent compared to competitors like Adobe, indicating a clear understanding of which aspects to innovate and which to maintain [19].

图片来源： Scale AI 2020 年，开源数据库 Supabase 成⽴时，其新西兰籍⾸席执⾏官 Paul Copplestone 未曾料到，公司会精准踩中 2025 年最⼤趋势Vibe Coding的⻛⼝。 根据财富报道，这家初创公司于4⽉末成果显现， 公司宣布完成由 Accel 领投的 2 亿美元 D 轮融资，投后估值达 20 亿美元，Coatue、Y Combinator、 Craft Ventures 及⻓期投资者 Felicis 参与本轮投资。 此次新获 2 亿美元融资，距离 Supabase 宣布由 Peak XV（红杉分拆机构）和 David Sacks 的 Craft Ventures 领投 8000 万美元仅七个⽉。当时公司未对估值 置评，但 PitchBook 数据显⽰约为 9 亿美元。 参考资料 ⾄此，这家初创公司总融资额已达约 3.98 亿美元。 Supabase 再次证明了开源项⽬在商业上的巨⼤成功潜⼒。它提供了 Firebase 的开源版本，这是⾕歌的 数据库 AI 应⽤开发平台，并以每⽉最⾼ 600 美元的价格托管应⽤，企业⽤⼾费⽤更⾼。 Supabase 将开源 SQL ...

在 Claude 3.7 和 Deepseek 之前我很少玩 AI 编程。因为自己是非专业开发者，AI 模型能力不够搞的很痛 苦。 Claude 3.7 和 Thinking 模型更新后我看到了新希望，也产出了一 系列网页生成提示词 ，让很多人认识到开 发尤其是简单的前端开发没那么难。 我之前的提示词主要还是让大家生成展示的网页的，涉及到复杂功能还是不太好搞。 最近也用 AI 做了很多小的工具网页，迭代了一套自己的 AI 编程（Vibe Coding）方案。 Trae 发布了四大重磅功能（MCP、自定义规则、智能体、上下文理解），其能力已与 Cursor、Windsurf 看 齐、甚至体验更胜一筹 。例如可以自定义智能体，配合上MCP和prompt，能一次集结多个专属AI专家，为我 所用。 先介绍一下Trae新增的4个功能： 所以我觉得是时候了， 这个教程将会用 Trae 教你如何写一个有相对复杂功能的网页，藏师傅精心编排下也 融入这四个能力顺便教会你怎么用。 智能体创建： 支持基于提示词和MCP工具自定义智能体，@即可使用，不需要每次都输入复杂指令 智能工具（MCP）： 支持MCP，而且内置了常用的，只需要 ...

Core Insights - The introduction of generative AI has significantly transformed the software engineering landscape, leading to the emergence of a new programming paradigm known as "vibe coding" [1] - This new approach is gaining traction in the industry, indicating a shift in how software development is approached and executed [1] Company Insights - The article mentions a DevOps Engineer working for a major subsidiary of a large-cap Fortune 500 company, highlighting the practical application of AI tools and applications in a corporate environment [1] - The engineer is pursuing advanced AWS machine learning certifications, reflecting the industry's focus on enhancing expertise in AI and machine learning [1] Industry Insights - The rise of "vibe coding" suggests a playful yet impactful evolution in programming methodologies, driven by advancements in AI technology [1] - The article emphasizes the importance of hands-on experience with machine learning algorithms and model deployment in understanding generative AI systems [1]