Locofy.ai — Ship your products 10x faster with low-code

Locofy.ai is a low-code development platform designed to accelerate frontend engineering workflows by converting designs into production-ready code across web and mobile platforms. It integrates with design tools like Figma and Adobe XD, supports multiple frameworks (React, React Native, HTML/CSS, Next.js, Gatsby, Vue, Angular, and more), and offers AI-powered code generation through LocoAI. The platform emphasizes rapid prototyping, component reuse, design systems integration, and seamless handoffs from design to code to deployment.

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What you can build

• Mobile Apps
• Web Apps
• Websites
• Portfolio Websites
• Responsive Prototypes
• Projects using existing design systems

How Locofy works

1. Design-tagging workflow from Figma or Adobe XD using Locofy plugins to annotate interactive elements, styling, layout, and responsiveness.
2. Convert designs to code in your preferred framework with LocoAI, generating clean, modular code.
3. Sync and extend the code: connect data, add actions, and share prototypes with your team.
4. Export and deploy: export code to your preferred settings (CSS Modules, Tailwind, CSS, TypeScript, JavaScript, Expo), and deploy via GitHub, Netlify, Vercel, or GitHub Pages.
5. Collaboration: invite teammates, build components, iterate, and maintain a single source of truth via design systems.

Key Benefits

• Significantly reduces frontend development time (examples claim up to 80-90% time savings in various use cases).
• Converts designs to production-ready code across multiple frameworks and platforms.
• Supports reusable components, props, and integration with existing component libraries and design systems.
• Live preview, interactive code, and easy revision management.
• GitHub sync, CI/CD readiness, and deployment integrations.

Core Features

• Design-to-code: Figma and Adobe XD plugins to tag interactive elements and export ready-to-run code
• Multi-framework code generation: React, React Native, HTML/CSS, Next.js, Angular, Gatsby, Vue, etc.
• LocoAI-driven code: AI-assisted decisions for code structure and components
• Component-based architecture: create reusable components with props
• Design system import: bring in existing design systems and custom components from CLI, GitHub, Storybook
• Export options: CSS Modules, Tailwind, CSS, TypeScript, JavaScript, Expo
• GitHub sync and deployment: push code to GitHub, deploy with Netlify, Vercel, or GitHub Pages
• Live preview and collaboration: share live prototypes with the team and collect feedback
• MSP/LM Integrations: MCP for Cursor, VS Code extension, and integration with common tooling
• Private deployment options: multiple deployment configurations (Shared Default Cloud, Dedicated Private Cloud, On-premise) and SAML SSO

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How to use Locofy

1. Install and use the Figma or Adobe XD plugin to tag UI elements, styling, and responsiveness.
2. Choose your target framework and export code via LocoAI.
3. Preview the code in real time and refine as needed.
4. Sync screens to the Locofy builder for further prototyping and collaboration.
5. Export final code and deploy to your preferred hosting or CI/CD pipeline.

Integrations and Ecosystem

• Figma to React / HTML/CSS / Next.js / Gatsby / Vue / Angular / React Native
• Adobe XD to React / HTML/CSS / Next.js / Gatsby / React Native
• LLM Integrations and MCP for Cursor
• VS Code Extension
• GitHub, Storybook, and component library support
• Design systems compatibility (Material UI, Bootstrap, Ant Design, Chakra UI, and more)

Who uses Locofy

• Enterprises
• Agencies
• Startups
• Freelancers
• Students

Why choose Locofy

• Fastest path from design to deployable frontend code
• Maintains design fidelity with pixel-accurate output
• Reduces repetitive coding tasks, enabling focus on product logic
• Flexible deployment options and strong collaboration features

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Pricing and Tokens

• Pricing plans and tokens are available (details on the official site).

Disclaimer

• Features and statistics reflect Locofy’s marketing materials and testimonials; real-world results may vary based on project complexity and team workflow.