Blog
You’re using tokens and you don’t even know it. One of the goals of a design system is to close the gap between multiple disciplines and especially between design and development. With the features and tools Figma provides us, this gap becomes smaller. But what if I tell you with the proper integration of design tokens, we can make this gap closer than it was ever before. Let’s talk about tokens and how it can level up your design system.
https://www.figma.com/community/plugin/1294680698827437011/component-decomposer Plugin: Decompose your designs into a list of component with their respective dependencies - e.g. to build up a Design System. Talk to Matthew G or Frank W - their idea led to plugin
Discover how GitHub Copilot, powered by OpenAI's Codex model, significantly enhances developer productivity and code quality. Dive into its capabilities in code completion, test case generation, and insightful commenting. Boost coding efficiency and fulfillment with this advanced AI-driven tool.
A practical guide to using AI to curate product collections at scale, make product recommendation and search algorithms smarter with semantic awareness, and empower teams to deliver seamless customer experiences.
Generate nuanced translations for your e-commerce site using AI. Learn how to set up, fine-tune, and integrate AI models seamlessly with your headless CMS for automatic content translation. Uncover practical steps for implementation, from choosing the right language model to architecting efficient translation workflows that align with your budget and goals.
A practical guide to using AI to curate product collections at scale, make product recommendation and search algorithms smarter with semantic awareness, and empower teams to deliver seamless customer experiences.
Generate nuanced translations for your e-commerce site using AI. Learn how to set up, fine-tune, and integrate AI models seamlessly with your headless CMS for automatic content translation. Uncover practical steps for implementation, from choosing the right language model to architecting efficient translation workflows that align with your budget and goals.
A headless architecture comprises a headless CMS for content management and a site builder using static site frameworks like Next.js, Gatsby, and Nuxt.js. Content is retrieved from the CMS, and bundled code is deployed via a distribution platform. Headless CMS examples include Contentful and Sanity, offering editor interfaces, page previews, and APIs. Site builders use CMS client SDKs to transform data, and distribution platforms enhance performance with CDNs. Third-party services and hosted assets can be integrated.