How AI Agents Extract Perfect Components From Context #ai #designsystems

22 Apr 2026 · 1 min

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In this segment, the speaker explains that an AI agent, when started with its configuration file and provided a Figma screenshot, can automatically infer the correct UI components depicted in the design without any explicit prompting. By leveraging its knowledge of the components' APIs, the agent can generate appropriate prompts and produce accurate JSX code for those components. This "shotgun" approach—trying many possibilities—achieves roughly 90% accuracy in selecting the right components and generating usable code.

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Anytime I ask an agent to do a task, it's got that context at the very beginning. And so really without prompting, we are finding that if I were to like open a new agent session with that agent's file and drop in a screenshot of Figma and say, can you build this? Or can you give me some JSX for this? It will grab the right components, even though it has no context that the component in Figma is the component over here. It can make the inference and it will grab the correct ones. And now, because it knows the API of them, it will provide the right prompts. And so we're getting like shotgun approach with 90% accuracy.