Designing a landing page with AI is becoming easier. However, turning that design into clean, structured, and usable frontend code is still an important challenge.
I recently updated an article that shares a practical workflow for using Google Stitch together with Antigravity through MCP to design landing pages and convert them into HTML/Tailwind CSS more accurately.
Key topics covered in the article:
• How to define a clear landing page concept before starting the design process
• How to generate UI designs with Google Stitch using prompts
• How to refine the design for real-world use, including CTA placement, layout flow, whitespace, and mobile UX
• How to create a DESIGN.md file to help AI understand the design system
• How to connect Google Stitch with Antigravity through MCP
• How to use the Stitch design as the single source of truth for code generation
• How to write a more structured prompt to reduce inconsistencies between design and code
• What to review before deployment, including responsiveness, semantic HTML, performance, and UX quality
The main idea of this workflow is not only to generate a visually appealing landing page, but also to preserve structure, spacing, visual hierarchy, responsiveness, and consistency with the original design.
The article also includes screenshots, step-by-step guidance, and prompt examples that can be adapted for real development workflows.
I hope this will be useful for developers, frontend engineers, and UX/UI designers who are exploring how AI can support the design-to-code process more effectively.
Read the full article here:
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