Knowledge File / AI技能杠杆
Figma在Config 2026押注人类判断,而驱动其画布的AI来自他人
Figma正在将设计画布扩展到代码、动画和3D效果,以应对AI竞争对手的挑战。公司推出协作功能,让团队共享AI提示、工作流和插件。然而,使用外部AI模型的高推理成本挤压了利润率,促使Figma专注于设计代码的紧密集成以降低令牌消耗。Figma强调人类判断和更智能的令牌使用,而不是自建模型。
SOURCE / AI技能杠杆
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POST / 2026-06-25 00:49:01
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Figma is expanding its design canvas beyond static layouts to include code, animations, and 3D effects, aiming to keep users on its platform as AI competitors like Anthropic and OpenAI increasingly offer tools that generate interfaces directly. The company is introducing collaboration features that let teams share successful AI prompts, workflows, and custom plugins, making it easier to build on each other's results. High inference costs from using external AI models are squeezing Figma's profit margins, prompting the company to focus on tighter integration of design and code to reduce token consumption and improve efficiency. At Config 2026, Figma is betting on human judgment and smarter token usage instead of building its own models. AI, the company's key growth driver, is eating into margins and comes from providers like Anthropic that are building competing products. At its annual conference in San Francisco, Figma rolled out a wave of updates that turn the design canvas into a workspace for code, motion, depth, surface effects, and AI agents. The company says 95 percent of Fortune 500 companies build their products in Figma. Generating interfaces, text, and code with AI has gotten cheap. Human attention, the thing all that output competes for, hasn't grown. Standing out means going beyond what models trained on the internet's average content can produce. The new features give designers more tools to do that without giving up control over the result, the company says. Ad It starts with code. Last year, Figma brought code onto the canvas for the first time with Figma Make. Now Make pulls in a team's production code and applies changes through branches, commits, and pull requests, all without a terminal. The feature is rolling out in beta. Ad DEC_D_Incontent-1 With the new Code Layers, design and code live side by side in the same space. Users can generate code from a design, prompt it through an agent, or import a repo from GitHub. From a code layer, they can drag out editable design layers, tweak them directly, and convert them back to code. Figma says the speed matches how designers already iterate through variations with design layers. Motion is the second element coming to the canvas. Animations, transitions, and timelines that used to require external tools are now part of the design system. They can be edited collaboratively, generated through an agent, and pushed all the way to production via Dev Mode and MCP. Ad Separately, Figma is adding a depth layer with 3D transformations. Until now, spatial depth in interfaces was mostly faked with stacked shadows. Now designers can shape perspective directly. The new shader feature uses WebGPU for effects like dithering, pixelation, and various types of blur, plus surfaces that look like frosted glass or polished chrome. This used to require graphics programming knowledge. Now users describe the effect they want, and an agent generates it along with adjustable controls. Ad DEC_D_Incontent-2 The idea across all these features is the same. AI shouldn't just spit out a finished result you either accept or re-prompt. It should give you a tool you can keep tweaking. Results can be shared across the team. Ad
中文翻译
Figma正在将其设计画布从静态布局扩展到包括代码、动画和3D效果,目的是在Anthropic和OpenAI等AI竞争对手越来越多地提供直接生成界面的工具时,将用户留在其平台上。该公司正在引入协作功能,让团队共享成功的AI提示、工作流和自定义插件,从而更轻松地在彼此成果的基础上进行构建。使用外部AI模型的高推理成本正在挤压Figma的利润率,促使该公司专注于更紧密的设计和代码集成,以减少令牌消耗并提高效率。在Config 2026上,Figma押注于人类判断和更智能的令牌使用,而不是构建自己的模型。AI,该公司的关键增长驱动力,正在侵蚀利润率,并且来自像Anthropic这样正在构建竞争产品的提供商。在其旧金山年度大会上,Figma推出了一系列更新,将设计画布转变为代码、运动、深度、表面效果和AI智能体的工作空间。该公司表示,95%的财富500强公司使用Figma构建产品。使用AI生成界面、文本和代码已经变得廉价。人类注意力,所有输出竞争的东西,并没有增长。脱颖而出意味着超越在互联网平均内容上训练的模型所能生成的东西。该公司表示,新功能为设计师提供了更多工具来实现这一目标,同时不会放弃对结果的控制。从代码开始。去年,Figma首次通过Figma Make将代码引入画布。现在,Make可以拉取团队的生产代码,并通过分支、提交和拉取请求应用更改,全程无需终端。该功能正在测试版中推出。借助新的代码层,设计和代码并排存在于同一空间。用户可以从设计生成代码,通过智能体提示它,或从GitHub导入存储库。从代码层,他们可以拖出可编辑的设计层,直接调整,并将其转换回代码。Figma表示,速度与设计师通过设计层迭代变体的方式相匹配。运动是第二个加入画布的元素。以前需要外部工具的动画、过渡和时间线现在成为设计系统的一部分。它们可以协作编辑,通过智能体生成,并通过开发者模式和MCP一直推送到生产环境。此外,Figma正在添加一个带有3D变换的深度层。到目前为止,界面中的空间深度主要是通过叠加阴影来模拟的。现在设计师可以直接塑造透视效果。新的着色器功能使用WebGPU实现抖动、像素化、各种模糊以及类似磨砂玻璃或抛光铬的表面效果。这以前需要图形编程知识。现在用户描述他们想要的效果,智能体就会生成带有可调节控件的结果。所有这些功能背后的理念是一样的。AI不应该只是吐出一个你要么接受要么重新提示的成品。它应该给你一个可以不断调整的工具。结果可以在团队中共享。
核心信息
Figma正在将设计画布扩展到代码、动画和3D效果,以应对AI竞争对手的挑战。公司推出协作功能,让团队共享AI提示、工作流和插件。然而,使用外部AI模型的高推理成本挤压了利润率,促使Figma专注于设计代码的紧密集成以降低令牌消耗。Figma强调人类判断和更智能的令牌使用,而不是自建模型。
- Figma正在将设计画布扩展到代码、动画和3D效果,以应对AI竞争对手的挑战。公司推出协作功能,让团队共享AI提示、工作流和插件。然而,使用外部AI模型的高推理成本挤压了利润率,促使Figma专注于设计代码的紧密集成以降低令牌消耗。Figma强调人类判断和更智能的令牌使用,而不是自建模型。
- 原贴提到:Figma is expanding its design canvas beyond static layouts to include co
- 来源:the-decoder.com
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