At its first Config event held in India, design platform Figma introduced a series of new features aimed at reshaping how AI agents interact with design systems. The announcements included a Markdown-based editor for codifying design language, tighter integration between design and code libraries, and a new connection to the Payload headless content management system. Several of these additions are specifically designed to give both Figma's own AI agents and third-party agents clearer guardrails to follow when generating or modifying designs on behalf of teams.

The event, held in India where Figma has been steadily expanding its presence, served as the backdrop for what the company framed as a broader push toward making AI-assisted design more reliable and brand-consistent. Rather than simply adding AI capabilities, Figma appears to be investing in the infrastructure that makes those capabilities more controllable and predictable in professional environments.

Figma Specs: A Centralized Design Language Reference

One of the headline announcements was a new feature called Figma Specs - a Markdown-based editor that allows teams to document and define their design language in a straightforward, structured format. The resulting document functions as a shared reference point for both human designers and AI agents working within the Figma environment.

Specs can operate as a standalone file within Figma or be embedded directly inside the canvas, giving teams flexibility in how they organize and surface their design documentation. Beyond basic text editing, the feature allows users to reference other elements within the Figma workspace, including canvas components, FigJam diagrams, code layers, and design assets. This means that a Specs document can be both a written guide and a living, interconnected resource that points directly to the building blocks of a design system.

Teams can also pull in design libraries, code libraries, and broader guidelines into this centralized framework. The intent is to give AI agents a reliable source of truth to consult when making design decisions, reducing the likelihood of outputs that stray from established brand rules or visual standards.

Steering AI Toward More Predictable Outcomes

Figma's agent-on-canvas functionality, which allows AI to work directly within design files, was recently made available to a broader set of users. Recognizing that AI systems are inherently non-deterministic - meaning they can produce varying results even when given similar inputs - the company has been developing tools intended to bring more consistency to AI-generated design work. Features like Figma Specs are part of that effort, providing structured context that agents can draw on to stay aligned with a team's design intent.

Figma's chief design officer, Loredana Crisan, spoke to the broader shift in how software teams are using AI-generated code. She noted that the volume of code being produced today is roughly 17 times greater than in the past, yet the number of actual product releases has only grown by a factor of 1.3. Her interpretation of that gap is that much of the code being written is exploratory in nature - used to prototype and discover what a product should be, rather than to ship finished software. In her view, this positions design as an increasingly central activity in the development process, and Figma as the platform where those decisions get made.

"There are 17-times more lines of code being produced today than in the past. But when you're looking at releases, only 1.3-times more releases. A lot of that code actually is not necessarily built to ship, but really built to discover what the product is. It's built to design." - Loredana Crisan, Chief Design Officer, Figma

Code Layers Moves to Public Beta

Another significant update announced at the India event was the public beta launch of Figma's code layers feature. First introduced in a private beta in June, code layers allow users to embed actual code directly within design canvases, enabling the creation of more interactive and functional prototypes without leaving the Figma environment.

With the move to open beta, a wider pool of users can now test the feature and provide feedback. The functionality also ties into Figma's AI capabilities - users can instruct the platform's agent to convert a design into code or to modify specific sections of existing code, allowing for rapid iteration during the prototyping phase. This blurs the traditional boundary between design and development, enabling designers to engage more directly with code and developers to work more fluidly within a visual design context.

Expanded MCP Support and New Integrations

Figma also announced that its Model Context Protocol (MCP) now supports more than 20 new tools. Among the newly supported integrations are Open Code, Dia, Grok Bot, and Sarvam - an AI startup based in India. The inclusion of Sarvam is notable given the event's location and Figma's stated interest in deepening its engagement with the Indian technology ecosystem.

MCP support allows external tools and agents to interact with Figma's platform in a standardized way, making it easier for third-party developers and companies to build workflows that incorporate Figma's design data and capabilities.

Payload CMS Integration with Figma Make

Figma also moved forward with its integration of Payload, the open source headless content management system it acquired last year. The CMS is now being connected to Figma Make, the company's product for generating dynamic websites. Through this integration, users will be able to manage website content directly within the Figma ecosystem, streamlining the handoff between design and live content management.

The company reported that Payload's download numbers have increased sixfold over the past 12 months, suggesting strong momentum for the project since its acquisition. Integrating it with Figma Make represents a step toward making Figma a more complete platform for teams that want to go from design to a functioning, content-managed web presence without switching between multiple tools.

India as a Key Market for Figma

The choice to hold its first India-based Config event reflects the growing importance of the Indian market to Figma's overall business. The company opened its first office in India late last year, staffing it with teams focused on sales, partnerships, go-to-market strategy, and product support.

Figma described India as its largest user base outside the United States, a distinction that underscores the country's significance in the company's global strategy. The platform is also reported to be in active use at 40 percent of India's top 100 companies listed on the Bombay Stock Exchange, pointing to meaningful enterprise adoption in one of the world's fastest-growing technology markets.

Taken together, the announcements made at the India event reflect a company that is working to position itself not just as a design tool, but as the central operating environment for software teams navigating an era where AI is becoming a standard part of how products are built and shipped.