How We Automated the Developer Handoff: Figma to Astro & Payload CMS

If you run a digital agency or lead a frontend team, you already know that translating a Figma file into a functioning, full-stack application is the most expensive part of the project lifecycle.

For years, developers have tried to use "Figma to HTML" or "Figma to React" exporters. But if you are building modern websites with headless architecture, generating a basic, bloated HTML file doesn't actually save you time. You still have to strip the code, rewrite it into modular components, and build the backend database schemas from scratch.

That is why we built the first comprehensive Figma to Astro and Payload CMS converter.

The Problem with Cheap AI Exporters

Most visual-to-code plugins are optimized for one thing: keeping the creator's API bills low. They rely on fast, lightweight AI models to spit out approximations of your design.

The result? Broken auto-layouts, hallucinated CSS classes, and zero backend context. You end up spending more time debugging the generated output than you would have spent just writing the code manually. An inaccurate conversion defeats the whole purpose of automation.

Bridging the Gap: Frontend UI Meets Backend Schemas

We needed a tool that matched our actual production stack. We didn't just need a UI layout; we needed the architecture.

By wiring our custom Figma plugin directly to Google's Gemini 3.1 Pro—the highest-tier frontier reasoning model available—we built a pipeline that understands the structural relationships of a design and translates them flawlessly.

In a single click, the plugin generates:

1. Astro Components: Clean, zero-JS .astro files ready for production.
2. Tailwind CSS: Precise, responsive utility classes mapped directly from your Figma tokens.
3. Payload CMS Schemas: Strict TypeScript configurations that map your visual blocks directly to your headless database.

The Tradeoff: Compute over Compromise

Using a frontier model like Gemini 3.1 is not cheap. This plugin is incredibly heavy, eats compute power, and will burn through your AI credits fast.

But this was a deliberate choice. Quality isn't cheap. We realized that paying for a heavy, premium AI conversion is infinitely cheaper than paying an engineer to fix bad code and manually write backend schemas.

Stop Bleeding Billable Hours

We built this strictly to solve the developer handoff bottleneck. It worked so well that we have decided to make it public.

If you want to stop writing boilerplate Astro components and Payload schemas, it's time to upgrade your workflow.

👉 Install the plugin