Skip to main content

AI engineering handoff tool in Figma Make

Go from prototype to production-ready code in one place. This AI engineering handoff tool keeps design and development aligned—no translation layer required.

Generate production-ready code

Turn prototypes into real code

Generate functional front-end code from interactive prototypes—aligned to your components, structure, and logic.

Stay in sync with your design system

Build with your existing Figma libraries and tokens so what gets handed off already matches production standards.

Design and develop in one place

Inspect, edit, and refine code inside Figma Make. No tool-switching. No copy-paste drift.

Validate with real data before handoff

Connect a backend to test flows with live data, authentication, and real states—so engineering gets fewer surprises.

Built by real teams.

See how makers, designers, and PMs are using Figma Make to build no-code web apps—from internal tools to product MVPs.

How to use Figma Make as an engineering handoff tool

Create a design in Figma Design or start in Figma Make. Build your screens using your team’s components and styles.

Describe how the product should work, including states and edge cases.

Example prompt: “Add form validation with inline error states and disable the submit button until all required fields are complete.”

Figma Make generates structured, front-end code that reflects your layout, components, and interactions. Developers can review logic and structure directly.

Connect to a backend like Supabase to test with real data, then iterate.

Example prompt: “Connect this dashboard to a user table and display personalized data after login.”

When everything works as expected, share the file or publish—engineering gets aligned, working code as a foundation.

FAQs

An AI engineering handoff tool helps teams move from design to development without manual translation. In Figma Make, prototypes can generate functional code aligned to a team’s design system and logic.

Figma Make builds prototypes using existing Figma libraries and components. Because code is generated from those same sources, visual and structural inconsistencies are reduced before implementation begins.

Yes. Developers can review and adjust code generated in Figma Make. The workspace supports inspecting structure, refining logic, and aligning output with production standards.

Yes. Figma Make integrates with a backend such as Supabase, allowing teams to test authentication, user data, and dynamic states before handoff.

Yes. Prototypes and apps created in Figma Make can be shared with teammates for collaboration or published for broader access, making validation and iteration faster.

Fundamentally. Figma's 2026 AI report found that over half of product builders say they've stopped using linear handoffs entirely. Instead of a sequential design-then-develop process, teams are moving iteratively or simultaneously between design and code, with developers participating in design earlier and designers moving closer to working code. The handoff is becoming an ongoing, continuous process.

From the blog

Figma workspace and tablet displaying aviation maps of Europe above an illustrated flight journey from preparation and takeoff to landing and arrival at the gate.Figma workspace and tablet displaying aviation maps of Europe above an illustrated flight journey from preparation and takeoff to landing and arrival at the gate.

How Lufthansa Systems prototypes realistic maps for the cockpit with Figma Make

Pilots depend on in-flight software to navigate routes, see air traffic, avoid turbulence, and more. To bring more dynamic prototypes to user testing, Lufthansa Systems turned to Figma Make.

Read more

Create, ship, and manage data-backed websites with Payload in Figma

With Payload in Figma, teams can go from prototype to production together, managing their content and data all in one place.

Learn more

Measuring time savings from Figma Make

The Figma Data Science team assumed that AI saves users time—but quantifying it required a new approach to research design.

Learn more

A properties panel and annotations, now in Figma Make

With visual editing and annotations, Figma Make is bridging the gap between design and code. Select any element you want to change, adjust it directly in the properties panel, or write in-context prompts with annotations.

Learn more

Workflow lab: Deploying designs directly with Figma Make

The handoff from design to code doesn't have to be a one-way street. This workflow shows how a designer can connect a codebase to Figma Make, make the changes directly, and bring the whole team into review—right up to the PR.

Learn more
Hero image showing an AI analytics prompt interface with workflow tabs and suggested customer analytics questions.Hero image showing an AI analytics prompt interface with workflow tabs and suggested customer analytics questions.

How Decagon uses AI for design system saturation

The fast-growing customer experience platform explains how Figma MCP and Figma Make helped them scale a new design system and keep pace with customer requests.

Learn more

More resources

  • What is MCP?

    Learn about Model Context Protocol (MCP), the open standard that simplifies AI integration like a USB-C for data.

    Read article
  • What is Vibe coding?

    Vibe coding combines mood-driven design with seamless coding to create immersive digital experiences that connect emotionally and function flawlessly.

    Read article
  • How to design an app in five steps

    Building an app requires research and constant iteration to meet customer needs. Learn how to design an app and how Figma can help in this guide.

    Read article
Powered by Fruition