Create an automated system that uses an AI agent to convert Figma designs into Next.js code. The agent then verifies its output against the original design and iteratively corrects its own mistakes.
with Claire Vo
Build a custom slash command (e.g., /figma) that accepts a public Figma link as its primary input. This provides a structured starting point for the automation.
Program the command to use an AI model or script to connect to the Figma API. This process should extract design tokens, layout information, component structure, and asset URLs from the provided Figma frame.
Feed the extracted design information to the AI and instruct it to write the corresponding front-end code using your desired stack, such as Next.js, React, and Tailwind CSS.
Use a second AI agent or script (like a Chrome DevTools MCP) to programmatically open the newly generated UI in a browser and inspect the rendered output for correctness.
The verification agent must compare its inspection results against the original Figma design. If it finds discrepancies, it should report these back to the coding agent, which then attempts a fix. Repeat this loop until the output is correct.
Build a custom `/deploy` command that automates the entire Git process—from branching and committing to creating a pull request and monitoring CI checks. The AI can even fix its own CI failures.
Use Claude Code, a dictation tool, and a three-pane workspace to turn a natural language idea into a functional Next.js and Tailwind CSS prototype in minutes, bringing design concepts to life.
Supercharge your engineering velocity by using Claude Opus 4.6 to rapidly build features and then leveraging GPT-5.3 Codex to perform a rigorous, principal-level code review for production hardening.
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