Figma Expands Into AI-Powered Software Development

By Suad Seferi · 16 October 2026 at 10:06

Figma is bringing working code, AI agents and backend infrastructure into its design platform, introducing a series of features that could change how teams move from product concepts to functioning applications. The company announced the updates on October 15 at Config India 2026 in Bengaluru, unveiling an expanded development workflow built around code layers, Figma Specs, integration with the Payload backend framework and tighter connections between design systems and AI coding agents. The announcements extend Figma's ambitions beyond interface design. Its platform is increasingly positioned as a place where designers, developers and product teams can collaborate on working software without moving through entirely separate design, prototyping and development environments. The timing reflects a broader shift in software development, as AI coding assistants make it easier to generate applications from written instructions and visual references. Working code comes to the design canvas One of the most significant announcements is the expansion of code layers, a feature that allows users to bring functioning code directly onto the Figma canvas. Instead of working exclusively with static screens or simulated interactions, designers can now create and modify interactive prototypes backed by executable code. Figma supports several ways to begin. Users can convert existing design frames into code-backed experiences, import a connected GitHub repository, capture a live website through its Chrome extension or describe an application to an AI agent. Code layers were introduced earlier in 2026 and are now entering an open beta across Figma's plans. The distinction matters because traditional design prototypes often approximate how software should behave without implementing its actual functionality. Code-backed prototypes allow teams to test interactions and make changes closer to the development process. However, this does not mean Figma can automatically turn any design into a production-ready application. The company says support for increasingly complex codebases remains an area of future development. Figma Specs gives AI agents shared instructions The company also introduced Figma Specs, a Markdown-based environment for capturing product requirements, technical decisions and design context. Specs can exist as standalone documents or alongside visual designs on the canvas. Teams can connect specifications to existing Figma elements and use AI agents to help develop or revise them. The feature addresses a growing challenge in AI-assisted software development: providing coding agents with reliable information about what a product is supposed to do. An AI agent may generate a functional interface from a prompt, but the result can diverge from established design systems, technical constraints or product requirements if those instructions are incomplete. With Specs, Figma wants written requirements, visual references and technical context to remain connected throughout development. The system also supports importing existing Markdown documents, allowing teams to bring documentation into the design environment rather than recreating it. Specs is entering open beta on eligible paid plans, with access rolling out gradually. Payload adds databases, authentication and APIs Another major development is the integration of Payload into Figma Make. Payload is an open-source content management system and application framework whose team joined Figma in 2025. With the integration, Figma's AI-assisted application builder can generate a backend that includes a database, content management, file storage, authentication, access controls and APIs. These are essential components of many real-world applications. A business application, for example, may require user accounts, stored records, administrative tools and secure access to information. Visual design tools alone cannot provide those capabilities. Figma says Payload can now supply that infrastructure directly within its development workflow, with hosted services available through Figma and self-hosting remaining an option for developers. The integration is rolling out across Figma Make plans. While this moves Figma closer to full-stack application development, production deployment still requires consideration of security, reliability, maintenance and operational costs. Generating a backend is not equivalent to independently verifying that an application is ready for public use. AI agents gain access to design systems and code libraries Figma is also expanding the information available to AI agents working with design systems. New capabilities allow organizations to attach guidelines to published design libraries and connect code sources from GitHub repositories or npm packages. The objective is to help agents generate components that follow existing patterns rather than repeatedly inventing new ones. Figma has also announced improvements to its Model Context Protocol (MCP) integrations, extending how external AI tools interact with the platform. This could be particularly relevant for organizations already using coding agents alongside established design systems. The more accurately an agent can interpret existing components, implementation rules and technical context, the less manual correction may be required. Some capabilities remain in limited testing. Code-source integration is entering closed beta, while centralized design-system management is currently a preview. A changing market for software creation The announcements arrive as the distinction between design applications, AI coding tools and low-code development platforms becomes less clear. AI-assisted development has made it possible to generate interfaces and application prototypes with relatively little conventional programming. Tools built around this approach are increasingly competing for users who previously depended on separate design and development processes. Figma is taking a different ro…