The team already had a design system, but it covered only part of the ecosystem. Web and mobile interfaces were still built separately, patterns drifted between products, and feedback arrived late. AI could speed up code generation, but without shared context and enforceable rules, it could reproduce the same inconsistencies faster.
In this talk, we’ll show how we rebuilt that workflow around shared React and React Native components, agent-accessible design context through MCP, Figma Code Connect, pre-write guardrails, and automated visual checks. We’ll also explain how moving working prototypes ahead of final design sign-off brought stakeholder feedback into the process earlier.
The result: more than 60 mapped components, a visual-diff threshold below 2%, and prototype time cut from about an hour to ten minutes. AI can generate a screen quickly. This talk is about what it takes to trust the code behind it.
This talk has been presented at AI Coding Summit Berlin, check out the latest edition of this Tech Conference.
























