人工智能正在让软件开发变得更容易，但 Figma 首席执行官 Dylan Field 认为，脱颖而出的能力将越来越依赖于设计。该公司正在将业务从协作设计扩展到 AI 驱动的编码和应用创建，旨在把从初步构想到成品的整个过程整合到一个平台上。印度是该战略的重要组成部分。印度是 Figma 日活跃用户规模排名第二的市场，公司正在该国扩大团队规模，以更好地服务客户。
Artificial intelligence is making software easier to build, but Figma CEO Dylan Field believes the ability to stand out will increasingly depend on design. The company is expanding beyond collaborative design into AI-powered coding and app creation, aiming to bring the process from an initial idea to a finished product onto a single platform. India is an important part of that strategy. It is Figma’s second-largest market by daily active users, and the company is expanding its team in the country to serve customers better.
在接受 CNBC-TV18 采访时，Field 讨论了 AI 如何改变软件开发，Figma 为何希望将设计和编码结合起来，以及它计划如何在印度深化布局。“在代码正成为商品的世界里，”Field 说，“什么才是重要的？是设计，是工艺，是观点，是品牌，是你的营销。”Figma 为何希望将设计和编码结合起来Figma 最初是一个协作设计平台，但如今其野心已扩展到整个产品开发流程。
In an interview with CNBC-TV18, Field discussed how AI is changing software development, why Figma wants to bring design and coding together, and how it plans to deepen its presence in India.“In a world where code is becoming a commodity,” Field said, “what matters? It's design, it's craft, it's point of view, it's brand, it's your marketing.”Why Figma wants to bring design and coding togetherFigma began as a collaborative design platform, but its ambition now extends across the product-development process.
Field 描述了公司的目标是打造一个“全栈创意画布”，让团队能够从头脑风暴和图表绘制，一路推进到创建可工作的产品、测量其性能，并利用结果决定下一步行动。支持这一愿景的产品之一是 Code Layers，它将代码带入 Figma 现有的画布中。该功能可连接 GitHub 仓库和编码工具，使用户能够创建原型并参与到实际代码库的开发中。
Field described the goal as building a “full-stack creative canvas” where teams can move from brainstorming and diagramming to creating working products, measuring their performance and using the results to decide what comes next. One of the products supporting this vision is Code Layers, which brings code onto Figma’s existing canvas. It connects to a GitHub repository and coding tools, allowing users to create prototypes and contribute to a working codebase.
其目标是帮助设计师、产品经理和研究人员无需主要依赖编码环境，也能更直接地参与软件开发过程。Field 表示，越来越多的非开发人员希望参与代码工作，但未必熟悉或愿意使用集成开发环境或终端。“我们的设计师客户、产品经理客户、研究人员以及其他非开发者表示，终端和 IDE 对他们来说并不像‘家’，”他说。
The aim is to help designers, product managers and researchers participate more directly in software development without having to work primarily through a coding environment. Field said non-developers increasingly want to work with code but do not necessarily feel comfortable using an integrated development environment or a terminal.“Our designer customers, product manager customers, researchers and other non-developers say that the terminal and the IDE don't feel like home,” he said.
他们问：“你能为我们打造一种像家一样的感觉的东西吗？”Figma 还在开发 Make，它提供了一个专用的创作空间，而 Code Layers 则将代码引入到现有的画布中。这些产品共同旨在让非开发者拥有更大的空间来尝试想法，并参与专业开发工作。更广泛的目标是将产品创造的各个阶段连接起来，而不是将设计和编码视为独立的活动。
“They ask, ‘Can you build us the thing that feels like home?’”Figma is also developing Make, which provides a dedicated surface for creating, while Code Layers brings code into the existing canvas. Together, the products are intended to give non-developers more scope to experiment with ideas and contribute to professional development work. The broader ambition is to connect the stages of product creation rather than treat design and coding as separate activities.
对 Figma 而言，挑战在于让这种工作流程对企业和个人创作者都有用。为什么设计在 AI 时代可能变得更重要Field 认为，让软件生产变得更容易并不一定意味着企业更容易吸引用户。他指出，正在创建的应用程序数量与实际被使用的应用程序数量之间存在日益扩大的差距，认为快速构建某样东西的能力并不能保证人们会想要它。
For Figma, the challenge is to make that workflow useful to businesses as well as individual creators. Why design could become more important in the AI eraField believes that making software easier to produce will not necessarily make it easier for businesses to attract users. He pointed to a growing gap between the number of applications being created and the number being used, arguing that the ability to build something quickly does not guarantee that people will want it.
随着 AI 让编码变得更易于使用，企业仍然需要决定构建什么，以及如何使其产品区别于竞争对手的产品。Field 认为，设计是这一过程的核心，它不仅涉及外观，还包括产品的身份、吸引力以及它为客户提供的体验。
As AI makes coding more accessible, businesses will still need to decide what to build and how to distinguish their products from competing offerings. Field sees design as central to that process, encompassing not just appearance but also a product’s identity, its appeal and the experience it offers customers.
这并不意味着工程师变得不再必要。Field 表示，Figma 仍在招聘工程师，但随着其他角色的人获得了以前需要编码专业知识才能完成的任务能力，他们的工作性质正在发生变化。
That does not mean engineers are becoming unnecessary. Field said Figma continues to hire engineers, but the nature of their work is changing as people in other roles gain the ability to undertake tasks that previously required coding expertise.
他还认为，开发 AI 产品的公司必须预见客户未来的需求，而不仅仅是满足当前的需求。
He also believes companies developing AI products must anticipate what customers will need in the future rather than build only for current requirements.
在Figma，这涉及到内部使用其自身工具，测试其局限性，并尝试之前未曾采用过的方法。支撑Figma战略的论点是：如果软件生产变得更容易，那么决定什么值得构建以及创造人们愿意使用的产品将仍然具有挑战性。印度：超越用户采纳印度已经是Figma按用户数量计算的重要市场。Field确认，它是公司按日活跃用户计算的第二大市场，尽管他未披露收入数据或提供具体的增长目标。
At Figma, that involves using its own tools internally, testing their limitations and experimenting with approaches that have not been tried before. The argument underpinning Figma’s strategy is that if producing software becomes easier, deciding what is worth building and creating a product that people want to use will remain difficult. India: moving beyond user adoptionIndia is already a significant market for Figma by user numbers. Field confirmed that it is the company's second-largest market by daily active users, although he did not disclose revenue figures or provide a specific growth target.
公司正在扩大其印度团队，计划加强面向客户的职能，并在未来可能进一步深入产品设计和创新。Field表示，Figma在其他市场的经验通常涉及最初专注于销售，随后投入到客户倡导、开发者关系以及更多面向产品的工作。目前，他说，优先事项是更好地服务客户，包括已经大规模使用Figma的企业。他未将将用户转化为付费客户视为公司在印度面临的主要挑战。
The company is expanding its Indian team, with plans to strengthen customer-facing functions and potentially move further into product design and innovation over time. Field said Figma’s experience in other markets has typically involved an initial focus on sales, followed by investment in customer advocacy, developer relations and more product-facing work. For now, he said, the priority is to serve customers better, including businesses already using Figma at scale. He did not identify converting users into paying customers as the main challenge facing the company in India.
这种方法还涉及根据当地需求调整产品。Field举例称，多语言翻译和语音界面是印度客户可能与其他地区用户有不同需求的领域。他还表示，有兴趣让更多印度学生使用Figma，同时承认验证学生资格可能具有挑战性。因此，公司在印度的扩张不仅仅是建立用户基础。它希望与客户建立更紧密的关系，并确保其产品满足其特定需求。Figma如何看待竞争Figma面临着来自成熟软件公司和新兴AI聚焦型企业的竞争。
That approach also involves adapting products to local requirements. Field cited multilingual translation and voice interfaces as examples of areas where Indian customers may have different needs from users elsewhere. He also expressed interest in getting more students in India to use Figma, while acknowledging that verifying student eligibility can be difficult. The company's expanding presence therefore involves more than building its user base. It wants to develop closer relationships with customers and ensure its products address their specific requirements. How Figma views the competitionFigma faces competition from established software companies and newer AI-focused businesses.
菲尔德将Adobe描述为更像是一个潜在的合作伙伴，称其在Figma未覆盖且无意进入的领域运营。他将Lovable和Replit等公司视为服务于首次构建应用程序的人群。相比之下，Figma则专注于有明确成果目标的企业和专业人士。这一区别有助于解释为什么Figma正在投资让非开发者能够参与专业工作流程的工具，而不仅仅是生成应用程序。
Field described Adobe more as a potential partner, saying it operates in areas that Figma does not cover and does not intend to enter. He sees companies such as Lovable and Replit as serving people who want to build applications for the first time. Figma, by contrast, is focused on businesses and professionals with specific outcomes to achieve. That distinction helps explain why Figma is investing in tools that let non-developers contribute to professional workflows rather than simply generate applications.
然而，菲尔德承认，新竞争者正在不断进入市场，并提出可能重塑行业的想法。Figma还必须将其产品愿景转化为能够为广泛客户群体可靠运行的工具。菲尔德表示，Code Layers和Sites已在公开测试版中推出，确保它们能够服务于全球所有使用场景和客户仍需进一步工作。AI安全仍是一个悬而未决的问题。在竞争和产品开发之外，菲尔德承认AI发展的速度引发了关于安全和监督的问题。
However, Field acknowledged that new competitors are entering the market regularly and bringing forward ideas that could reshape the industry. Figma must also turn its product vision into tools that work reliably for a broad range of customers. Field said Code Layers and Sites have been rolled out in open beta, and ensuring that they serve all use cases and customers around the world will require further work.AI safety remains an open questionBeyond competition and product development, Field acknowledged that the pace of AI development has raised questions about safety and oversight.
当被问及是否已有足够的防护措施时，他说：“没有，但我认为我们正在朝这个方向前进。我希望我们能更快地达到这一点。”他呼吁开发先进AI模型的公司共同合作、分享思路，并专注于解决具体问题，而不是沉溺于最坏情况的设想。对于Figma而言，当务之急是实现其连接产品开发各阶段的雄心。菲尔德表示，他希望客户能够从一个想法出发，完成产品，测量其表现，并利用这些发现来指导他们接下来要构建的内容——所有这些都在同一平台上完成。Figma能否有效地提供这种体验，将成为其战略的核心，因为AI正在改变软件的创造方式。
Asked whether sufficient guardrails were in place, he said: “No, and I think we're getting there. I hope we get there faster.”He called on companies developing advanced AI models to work together, share their thinking and focus on solving specific problems rather than dwelling on worst-case scenarios. For Figma, the immediate priority is to deliver on its ambition to connect the stages of product development. Field said he wants customers to move from an idea to a finished product, measure its performance and use those findings to inform what they build next, all within the same platform. How effectively Figma can deliver that experience will be central to its strategy as AI changes the way software is created.