Locofy.ai
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About
Locofy is an AI-driven development platform designed to bridge the gap between design tools and frontend implementation. By integrating directly with Figma, Penpot, and Adobe XD, it allows developers and designers to transform static designs into functional, pixel-perfect code for a wide range of frameworks including React, Next.js, Vue, Gatsby, and React Native. Unlike generic large language models that may struggle with visual spatial reasoning, Locofy utilizes proprietary Large Design Models (LDMs) trained on millions of designs to understand layouts, responsiveness, and component hierarchies. This specialized approach ensures that the output is not just a visual replica but developer-friendly code that follows modern best practices. The platform operates through a plugin-based workflow where users can tag interactive elements, define responsiveness, and create reusable components directly within their design environment. The Locofy Agent Mode further enhances this by allowing developers to add logic and prompts to further refine the generated UI. Once the design is processed, users can preview the live code, sync it with GitHub, or pull it directly into their IDE using a VS Code extension. The tool supports popular design systems like Material UI, Ant Design, and Bootstrap, making it adaptable to existing enterprise workflows without requiring a complete overhaul of current processes. Locofy is primarily targeted at frontend and full-stack engineers, as well as development agencies and startups looking to reduce the undifferentiated heavy lifting of manual CSS and HTML coding. It is particularly beneficial for teams that need to ship features quickly across multiple platforms—web, iOS, and Android—while maintaining a high standard of code quality. By automating the UI layer, engineers can focus their efforts on complex business logic and backend integration rather than spending hours on pixel-perfect alignment and CSS debugging. What distinguishes Locofy from other design-to-code solutions is its commitment to developer-friendly output and security. It offers various deployment options including SaaS, Dedicated Private Cloud, and On-premise installations, catering to the strict compliance requirements of global enterprises. Additionally, its Large Design Models are trained without using customer data, ensuring privacy and intellectual property protection. The platform's ability to integrate with AI coding assistants like Cursor and GitHub Copilot further positions it as a comprehensive tool for the modern AI-assisted development stack.
Pros & Cons
Reduces frontend implementation time by up to 90% based on CTO testimonials.
Generates clean, non-bloated code that follows professional coding practices.
Supports multiple deployment options including on-premise for high-security environments.
Seamlessly integrates with AI code assistants like Cursor and GitHub Copilot through MCP.
Maintains pixel-perfection while automatically handling layout responsiveness.
Only offers annual billing cycles for paid plans with no monthly option available.
Requires well-structured design files (e.g., Auto Layout) to achieve optimal code quality.
Uses a token-based credit system which may require frequent monitoring of consumption.
Code generation for Angular is currently less mature than the React and Vue integrations.
Use Cases
Frontend engineers can automate the repetitive task of writing HTML and CSS from Figma designs to focus on complex logic.
Startup founders can rapidly build and ship cross-platform MVPs for web and mobile to reduce time-to-market.
Development agencies can deliver pixel-perfect client projects in days rather than weeks by streamlining the handoff process.
Product managers can create live, code-based prototypes for accurate user testing and stakeholder feedback sessions.
Fullstack developers can bridge their skill gap in CSS and UI design by using AI to generate production-ready styles.
Platform
Features
• vs code extension
• github synchronization
• responsive live prototypes
• locofy agent mode
• flutter & react native support
• react, vue, & next.js code generation
• figma, penpot & adobe xd plugins
• large design models (ldm)
FAQs
What are LDMtokens and how do they work?
LDMtokens stand for Large Design Model tokens and serve as Locofy's credit system. They are consumed whenever you convert your designs into functional frontend code.
Does Locofy work with any design file?
Yes, Locofy works with any design, but results are best when layers are well-structured. Using Figma's Auto Layout and clear layer naming significantly improves the quality of generated code.
Can I use Locofy for mobile app development?
Yes, the platform supports mobile frameworks including React Native, Flutter, Jetpack Compose, and SwiftUI. This allows you to ship native apps for iOS and Android directly from designs.
Is my data used to train Locofy's AI models?
No, Locofy does not use customer data for training its Large Design Models. The proprietary models are trained on millions of public designs to ensure user privacy.
What frameworks are supported for web development?
Locofy supports a wide range of web frameworks including React, Next.js, Vue, Gatsby, Angular, and standard HTML/CSS. It also integrates with design systems like Material UI and Bootstrap.
Pricing Plans
Enterprise
Unknown Price• Dedicated Private Cloud
• Self-Hosted / On-Premise deployment
• SAML SSO Authentication
• ISO-27001:2022 Certification
• SOC-2 Type 2 Certification
• Custom deployment options
• Priority support
Free / Student
Free Plan• 1,000 extra free LDMtokens for students
• Free tokens for 20-min workshop
• Figma, Penpot, and Adobe XD plugins
• Framework support for React, Vue, Next.js
• GitHub integration
• VS Code extension access
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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