Automating Design Systems: Tips And Resources For Getting Started<\/h1>\nJoas Pambou<\/address>\n 2025-08-06T10:00:00+00:00
\n 2025-08-07T14:02:50+00:00
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A design system is more than just a set of colors and buttons. It\u2019s a shared language that helps designers and developers build good products together. At its core, a design system includes tokens<\/a> (like colors, spacing, fonts), components<\/a> (such as buttons, forms, navigation), plus the rules and documentation<\/a> that tie all together across projects.<\/p>\nIf you\u2019ve ever used systems like Google Material Design<\/a> or Shopify Polaris<\/a>, for example, then you\u2019ve seen how design systems set clear expectations for structure and behavior<\/strong>, making teamwork smoother and faster. But while design systems promote consistency, keeping everything in sync is the hard part. Update a token in Figma, like a color or spacing value, and that change has to show up in the code, the documentation, and everywhere else it\u2019s used.<\/p>\nThe same thing goes for components: when a button\u2019s behavior changes, it needs to update across the whole system. That\u2019s where the right tools and a bit of automation can make the difference. They help reduce repetitive work and keep the system easier to manage as it grows.<\/p>\n
In this article, we\u2019ll cover a variety of tools and techniques for syncing tokens, updating components, and keeping docs up to date<\/strong>, showing how automation can make all of it easier.<\/p>\nThe Building Blocks Of Automation<\/h2>\n
Let\u2019s start with the basics. Color, typography, spacing, radii, shadows, and all the tiny values that make up your visual language are known as design tokens<\/strong>, and they\u2019re meant to be the single source of truth for the UI. You\u2019ll see them in design software like Figma, in code, in style guides, and in documentation. Smashing Magazine has covered them<\/a> before in great detail.<\/p>\nThe problem is that they often go out of sync<\/strong>, such as when a color or component changes in design but doesn\u2019t get updated in the code. The more your team grows or changes, the more these mismatches show up; not because people aren\u2019t paying attention, but because manual syncing just doesn\u2019t scale<\/strong>. That\u2019s why automating tokens<\/strong> is usually the first thing teams should consider doing when they start building a design system. That way, instead of writing the same color value in Figma and then again in a configuration file, you pull from a shared token source and let that drive both design and development.<\/p>\nThere are a few tools that are designed to help make this easier.<\/p>\n
Token Studio<\/h3>\n
Token Studio<\/a> is a Figma plugin that lets you manage design tokens directly in your file, export them to different formats, and sync them to code.<\/p>\n<\/p>\n <\/p>\n
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<\/a>\n (Large preview<\/a>)
\n <\/figcaption><\/figure>\nSpecify<\/h3>\n
Specify<\/a> lets you collect tokens from Figma and push them to different targets, including GitHub repositories, continuous integration pipelines, documentation, and more.<\/p>\n\n<\/div>\n<\/figure>\nDesign-tokens.dev<\/h3>\n
Design-tokens.dev<\/a> is a helpful reference if you want tips for things like how to structure tokens, format them (e.g., JSON, YAML, and so on), and think about token types.<\/p>\n<\/p>\n <\/p>\n
<\/p>\n
<\/a>\n (Large preview<\/a>)
\n <\/figcaption><\/figure>\nNameDesignTokens.guide<\/h3>\n
NamedDesignTokens.guide<\/a> helps with naming conventions, which is honestly a common pain point, especially when you\u2019re working with a large number of tokens.<\/p>\n<\/p>\n <\/p>\n
<\/p>\n
<\/a>\n (Large preview<\/a>)
\n <\/figcaption><\/figure>\nOnce your tokens are set and connected, you\u2019ll spend way less time fixing inconsistencies. It also gives you a solid base to scale, whether that\u2019s adding themes, switching brands, or even building systems for multiple products.<\/p>\n
That\u2019s also when naming really starts to count. If your tokens or components aren\u2019t clearly named, things can get confusing quickly.<\/p>\n
Note<\/strong>: Vitaly Friedman\u2019s \u201cHow to Name Things<\/a>\u201d is worth checking out if you\u2019re working with larger systems.<\/em><\/p>\nFrom there, it\u2019s all about components. Tokens define the values, but components are what people actually use, e.g., buttons, inputs, cards, dropdowns — you name it. In a perfect setup, you build a component once and reuse it everywhere. But without structure, it\u2019s easy for things to \u201cdrift\u201d out of scope. It\u2019s easy to end up with five versions of the same button, and what\u2019s in code doesn\u2019t match what\u2019s in Figma, for example.<\/p>\n
Automation doesn\u2019t replace design, but rather, it connects everything to one source.<\/p><\/blockquote>\n
The Figma component matches the one in production, the documentation updates when the component changes, and the whole team is pulling from the same library instead of rebuilding their own version. This is where real collaboration happens.<\/p>\n
Here are a few tools that help make that happen:<\/p>\n
\n 2025-08-07T14:02:50+00:00
\n <\/header>\n
If you\u2019ve ever used systems like Google Material Design<\/a> or Shopify Polaris<\/a>, for example, then you\u2019ve seen how design systems set clear expectations for structure and behavior<\/strong>, making teamwork smoother and faster. But while design systems promote consistency, keeping everything in sync is the hard part. Update a token in Figma, like a color or spacing value, and that change has to show up in the code, the documentation, and everywhere else it\u2019s used.<\/p>\n The same thing goes for components: when a button\u2019s behavior changes, it needs to update across the whole system. That\u2019s where the right tools and a bit of automation can make the difference. They help reduce repetitive work and keep the system easier to manage as it grows.<\/p>\n In this article, we\u2019ll cover a variety of tools and techniques for syncing tokens, updating components, and keeping docs up to date<\/strong>, showing how automation can make all of it easier.<\/p>\n Let\u2019s start with the basics. Color, typography, spacing, radii, shadows, and all the tiny values that make up your visual language are known as design tokens<\/strong>, and they\u2019re meant to be the single source of truth for the UI. You\u2019ll see them in design software like Figma, in code, in style guides, and in documentation. Smashing Magazine has covered them<\/a> before in great detail.<\/p>\n The problem is that they often go out of sync<\/strong>, such as when a color or component changes in design but doesn\u2019t get updated in the code. The more your team grows or changes, the more these mismatches show up; not because people aren\u2019t paying attention, but because manual syncing just doesn\u2019t scale<\/strong>. That\u2019s why automating tokens<\/strong> is usually the first thing teams should consider doing when they start building a design system. That way, instead of writing the same color value in Figma and then again in a configuration file, you pull from a shared token source and let that drive both design and development.<\/p>\n There are a few tools that are designed to help make this easier.<\/p>\n Token Studio<\/a> is a Figma plugin that lets you manage design tokens directly in your file, export them to different formats, and sync them to code.<\/p>\n <\/p>\n <\/a> Specify<\/a> lets you collect tokens from Figma and push them to different targets, including GitHub repositories, continuous integration pipelines, documentation, and more.<\/p>\n Design-tokens.dev<\/a> is a helpful reference if you want tips for things like how to structure tokens, format them (e.g., JSON, YAML, and so on), and think about token types.<\/p>\n <\/p>\n <\/a> NamedDesignTokens.guide<\/a> helps with naming conventions, which is honestly a common pain point, especially when you\u2019re working with a large number of tokens.<\/p>\n <\/p>\n <\/a> Once your tokens are set and connected, you\u2019ll spend way less time fixing inconsistencies. It also gives you a solid base to scale, whether that\u2019s adding themes, switching brands, or even building systems for multiple products.<\/p>\n That\u2019s also when naming really starts to count. If your tokens or components aren\u2019t clearly named, things can get confusing quickly.<\/p>\n Note<\/strong>: Vitaly Friedman\u2019s \u201cHow to Name Things<\/a>\u201d is worth checking out if you\u2019re working with larger systems.<\/em><\/p>\n From there, it\u2019s all about components. Tokens define the values, but components are what people actually use, e.g., buttons, inputs, cards, dropdowns — you name it. In a perfect setup, you build a component once and reuse it everywhere. But without structure, it\u2019s easy for things to \u201cdrift\u201d out of scope. It\u2019s easy to end up with five versions of the same button, and what\u2019s in code doesn\u2019t match what\u2019s in Figma, for example.<\/p>\n Automation doesn\u2019t replace design, but rather, it connects everything to one source.<\/p><\/blockquote>\n The Figma component matches the one in production, the documentation updates when the component changes, and the whole team is pulling from the same library instead of rebuilding their own version. This is where real collaboration happens.<\/p>\n Here are a few tools that help make that happen:<\/p>\nThe Building Blocks Of Automation<\/h2>\n
Token Studio<\/h3>\n
<\/p>\n
\n <\/figcaption><\/figure>\nSpecify<\/h3>\n
Design-tokens.dev<\/h3>\n
<\/p>\n
\n <\/figcaption><\/figure>\nNameDesignTokens.guide<\/h3>\n
<\/p>\n
\n <\/figcaption><\/figure>\n