Locofy is an AI-powered platform that provides specialized design-to-code agents, acting as the missing layer between design tools like Figma and AI coding agents such as Cursor and Claude. It is built for frontend developers, designers, and engineering teams who need to accelerate the conversion of visual designs into production-ready code. The core value of Locofy lies in its proprietary Large Design Models, which understand Figma structure, layouts, and constraints far better than general-purpose LLMs. By outputting clean, well-structured frontend code first, Locofy enables AI coding agents to iterate and enhance from a solid foundation, eliminating the messiness that often arises when LLMs attempt to interpret designs directly.
The primary problem Locofy solves is that AI coding agents like Cursor and Claude are excellent at logic and iteration but fail to understand the intricacies of visual designs. They struggle with Figma's auto layout, constraints, component hierarchies, and design systems, often producing code that looks nothing like the original design. This forces developers to spend hours manually fixing layouts and styling, defeating the purpose of using AI. Locofy addresses this by converting designs into pixel perfect code before AI agents even begin their work. It ensures that the frontend code accurately reflects the designer's intent, allowing developers to focus on business logic, integrations, and advanced features rather than pixel pushing. This is critical for teams aiming to ship high-quality user interfaces rapidly without sacrificing design fidelity.
The first major feature group is the Design Agents, which include the Design Clean Up Agent and the Design System & Components Agent. The Design Clean Up Agent automatically removes unnecessary layers and groups, suggests better groupings for improved code output, and applies auto layout with proper constraints to layers, ensuring that the design is well-structured before any code is generated. This step is crucial because messy designs lead to messy code. The Design System & Components Agent, on the other hand, uses AI-powered component mapping to connect Figma components with reusable code components. It supports name-first matching, configuration overrides, and AI for unmapped elements. Developers can import custom components via CLI or GitHub, and the agent provides component preview, ensuring that the design system is faithfully reproduced in code, making it scalable and maintainable.
The second major feature group is the Design to UI Code Agents, which form the core conversion pipeline. These agents use a hybrid AI pipeline that detects tags for interactive elements, validates and refines them, and outputs properly tagged code. They support multiple UI libraries and frameworks, including React, Vue, Angular, Flutter, and more. The agents handle responsiveness and media queries, components and props mapping, and actions and interactions like clicks, hover states, and page navigation. This ensures that the generated code is not only visually pixel perfect but also functionally interactive. The process involves design input, tag detection, validation and refinement, final checks, and tagged output. This systematic approach guarantees that every element from the design is correctly identified and translated into code, reducing the need for manual intervention.
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The third feature group encompasses Frontend Expansion Agents and Integration & Deployments Agents. Frontend Expansion Agents take the generated code to the next level by adding theming, localization, responsiveness improvements, input validation, animations, and accessibility features. They also include upcoming capabilities for UI testing, performance testing, and SEO optimization. These agents understand the existing codebase, plan changes, implement them, and verify results through automated previews. Integration & Deployments Agents, on the other hand, provide the Locofy CLI and Locofy MCP. The CLI allows developers to generate code with a single command, integrate custom components, and merge Locofy-generated code into existing projects, all with up to 100 autonomous steps. The MCP enables direct code generation within IDEs like Cursor, Claude Code, VS Code, Windsurf, and Antigravity, making the tool seamlessly fit into existing developer workflows.
Locofy works through a streamlined workflow that begins with designing in Figma or Penpot. Users then use the Locofy plugin, CLI, or MCP to feed the design into the platform. Locofy's Large Design Models process the design, applying design clean up, component mapping, and code generation. The output is production-grade frontend code that can be extended using Frontend Expansion Agents or integrated directly into projects via the CLI or MCP. Developers can then refine and iterate within their preferred IDE, leveraging Locofy's agentic capabilities to enhance theming, localization, accessibility, and more. The entire process is designed to be automated and developer-friendly, with options for visual mode and agent mode, and supports exporting code to VSCode, GitHub, or as a ZIP file. This approach ensures that design-to-code is not a one-time conversion but part of an ongoing, iterative development cycle.
Concrete use cases demonstrate Locofy's impact. A development agency with over 100 developers reported saving 90% of frontend development time by integrating Locofy into their pipeline, allowing them to deliver client projects faster without compromising quality. A Korean agency reduced development time by 70% and launched a client's 40+ page app in under two weeks, a feat that would have taken months manually. A non-profit organization saved one month of development time, and a US startup built an MVP in record time with pixel perfect code. Another Canadian AI startup saved significant time by using Locofy to generate frontend code and focusing their efforts on business logic. These outcomes highlight that Locofy is not just a coding tool but a productivity multiplier that enables teams to ship high-quality interfaces at unprecedented speed.
Target users include frontend developers, UI/UX designers, design-to-code engineers, and enterprise development teams. It is ideal for digital agencies, startups building MVPs, and large organizations with complex design systems. The platform supports Figma and Penpot and outputs code for React, React Native, Next.js, Vue, Gatsby, HTML, Angular, Flutter, Swift, and Jetpack Compose. For enterprises, Locofy offers ISO and SOC certifications, multiple deployment options including SaaS shared cloud, dedicated private cloud, and on-premise/self-hosted, along with SAML SSO authentication. While pricing details are not specified, the platform is trusted by global brands like Infosys, Amazon, and Toyota. In summary, Locofy is the essential bridge between design and code, empowering teams to achieve pixel perfect frontend delivery with unparalleled speed and reliability.
Frontend developers who need to convert Figma designs into production code quickly. UI/UX designers seeking to automate the handoff process and maintain design integrity. Design-to-code engineers working on large-scale projects with complex component libraries. Enterprise development teams aiming to accelerate frontend delivery while ensuring design consistency. Digital agencies building client websites and apps under tight deadlines. Startups looking to ship MVPs rapidly without compromising on visual quality. Product managers and CTOs who want to reduce development costs and improve team productivity. Locofy is also suited for organizations using AI coding agents like Cursor and Claude, as it provides the essential foundation of clean, pixel perfect frontend code that these agents can then enhance and iterate upon.