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Google Stitch

What it is

Google Stitch is an AI-powered design and prototyping tool from Google (built on technology from the Galileo AI acquisition). It generates complete, high-fidelity user interfaces from natural language descriptions and voice commands. As of early 2027, it features deep integration with Gemma 4 for edge-based design reasoning and supports the MCP 3.1 / FastMCP 3.1 standards for automated UI-to-code pipelines, integrating with frontier reasoning models including Claude 5.6, GPT-5.6, Gemini 4.0 Ultra, DeepSeek-V4, and Llama 4.

What problem it solves

It eliminates the "blank canvas" problem for designers and developers by instantly generating polished UI layouts, multi-screen prototypes, and production-ready code scaffolds from simple prompts. The inclusion of FastMCP 3.1 support allows development environments to bridge design and code in sub-100ms sync cycles, preventing the drift between designers' visual mockups and engineering teams' production repositories.

Where it fits in the stack

Category: Tool / Development & Ops / Product Prototyping. It sits early in the build loop, acting as an AI-driven visual ideation partner and code generation bridge that integrates seamlessly into downstream agentic development workflows.

Typical use cases

  • Rapid UI Concept Generation: Instantly creating visual mockups for SaaS dashboards, mobile apps, and landing pages.
  • Agentic Prototyping: Using the FastMCP 3.1 interface to allow coding agents (like Claude Code) to request UI refinements programmatically.
  • Voice-to-Design: Native support for voice commands to iterate on designs hands-free, powered by Gemma 4's multi-modal capabilities.
  • Production-Ready Scaffolding: Exporting designs directly into Tailwind, Vue, Flutter, or SwiftUI codebases.

Strengths

  • Real-Time AI Agent: Features a streaming AI agent that reflows and modifies layouts in real-time as you type or speak.
  • Multi-Screen Generation: Can generate up to 5 interconnected screens from a single prompt, maintaining consistent branding and design language.
  • Robust Code Export: Supports a wide range of formats including HTML/CSS (Tailwind), Vue, Angular, Flutter, and SwiftUI.
  • Gemma 4 Powered: Leverages open models for superior design reasoning and multi-modal understanding.
  • FastMCP 3.1 Support: Allows external tools and agents to interact with the design canvas programmatically.

Limitations

  • Google Ecosystem Tie-in: Best integrated with Google services and AI Studio; less flexible for non-standard stacks.
  • Labs Status: Features and pricing models are subject to rapid evolution as Google expands enterprise design agent capabilities.
  • Engineering Review Required: While code export is advanced, the logic behind the UI components often requires manual implementation.

When to use it

  • For rapid prototyping of SaaS dashboards, mobile apps, and landing pages.
  • When you need high-fidelity visual mockups quickly for stakeholder review.
  • To bridge the gap between design and front-end development using production-ready code exports.

When not to use it

  • For complex, highly customized UI components that require proprietary design systems.
  • When data privacy requirements prohibit the use of cloud-based AI design tools.

Getting started

Google Stitch is a web-based design platform accessible through Google Labs.

To begin using it: 1. Visit the official Stitch website. 2. Sign in with your Google account. 3. Draft your first screen: Enter a prompt like "A dark-themed meditation app with a focus timer and audio player" or use the voice icon to describe your idea. 4. Iterate with the Agent: Use the real-time chat bar to say "Add a profile section in the top right" or "Change the primary color to emerald green." 5. Multi-screen Expansion: Click "Generate Connected Screens" to build out the user journey (e.g., login, settings, success states). 6. Export: Click the Export button to get code in your preferred framework (Tailwind, Vue, Flutter, etc.) or send the design to Figma.

CLI examples

Note: Google Stitch is primarily a web-based GUI tool, but it offers a CLI for asset synchronization and code export pipelines.

Install Stitch CLI

npm install -g @google-labs/stitch-cli

Export a Project to Code

stitch export --project-id "proj_12345" --framework tailwind --output ./src/components

Start a FastMCP 3.1 Design Server

stitch mcp serve --project-id "proj_12345"

API examples

Programmatic Screen Generation and Pydantic v2 Validation (Python)

The following Python script defines modern Pydantic v2 schemas to construct and validate programmatic screen generation requests for the Google Stitch AI design engine.

from typing import List, Literal
from pydantic import BaseModel, Field, ValidationError

# Define Pydantic v2 schema for validating a Google Stitch Screen Generation task
class StitchScreenConfig(BaseModel):
    screen_name: str = Field(..., description="Target name of the UI screen")
    layout_type: Literal["dashboard", "mobile", "landing", "modal"] = Field("dashboard", description="Structural category of UI")
    primary_color: str = Field(..., pattern=r"^#[0-9a-fA-F]{6}$", description="Hex code of primary brand color")
    components: List[str] = Field(default_factory=list, description="List of components to include (e.g., 'navbar', 'hero_section')")
    gemma_token_limit: int = Field(2048, ge=512, le=8192, description="Max tokens for Gemma 4 design reasoning backend")

# Validate design requirements payload
raw_payload = {
    "screen_name": "AnalyticsDashboard",
    "layout_type": "dashboard",
    "primary_color": "#10b981", # emerald green
    "components": ["sidebar", "metrics_grid", "line_chart_card"],
    "gemma_token_limit": 4096
}

try:
    validated_config = StitchScreenConfig(**raw_payload)
    print("Stitch Screen Generation Configuration successfully validated!")
    print(f"Validated Primary Color: {validated_config.primary_color}")
    print(f"Target Components: {validated_config.components}")
except ValidationError as e:
    print(f"Validation failed: {e.json(indent=2)}")

Node.js Integration Example

import { StitchClient } from '@google-labs/stitch-sdk';

const client = new StitchClient({ apiKey: process.env.STITCH_API_KEY });

const project = await client.createProject({
  name: "My AI App",
  initialPrompt: "A minimalist dashboard for task management using Gemma 4 tokens",
  theme: "modern-dark"
});

console.log(`Project created: ${project.url}`);

Fetching Component Code via FastMCP 3.1

// Using an MCP client to interact with Stitch
const mcpClient = new MCPClient({ serverUrl: 'http://localhost:8080' });
const tailwindCode = await mcpClient.callTool('get_component_code', {
  projectId: 'proj_12345',
  componentId: 'comp_6789',
  framework: 'tailwind'
});
console.log(tailwindCode);
  • Gemini — The underlying model ecosystem.
  • Google AI Studio — For deeper model configuration and Gemini API access.
  • Cursor — IDE that can consume Stitch-generated code.
  • Claude Code — CLI agent for building apps with Stitch assets.
  • Gemma 4 — Local models used for design reasoning.
  • MCP — Protocol for interoperability.
  • Aider — For automated code implementation of designs.

Sources / references

Contribution Metadata

  • Last reviewed: 2027-01-07
  • Confidence: high