Figma Specs Gives AI Agents a Design Rulebook at Config India

Figma Introduces Design Rulebook for AI Agents

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announced Figma Specs, a Markdown editor designed to help teams define their design language and provide clear guidelines for AI agents working on the platform. The announcement came during the company's first Config India event in Bengaluru2

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, where the design platform revealed multiple updates aimed at bringing design and development workflows together on a single canvas. Figma Specs allows teams to document design rules, brand guidelines, and technical requirements in a format that both human designers and AI agents can reference3

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. The feature addresses a growing challenge: while AI-powered tools can generate designs and code quickly, ensuring they follow a company's exact design rules has proven difficult5

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. This design rulebook for AI helps steer agents toward more predictable outcomes despite their non-deterministic nature.

Building Context Into the Full-Stack Creative Canvas

The Specs feature can exist as a standalone file or sit directly within the Figma canvas alongside active designs1

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. Teams can reference canvas elements, embed FigJam diagrams, code layers, and designs within the document, creating a centralized source of truth. This approach brings design libraries, code libraries, and guidelines into one place, giving AI agents the context they need to follow established patterns4

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. According to Figma Chief Design Officer Loredana Crisan, the company sees itself as the place where software teams decide what to build and ship1

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. She noted that 17 times more lines of code are being produced today compared to the past, yet releases have increased only 1.3 times. Much of that code is built not to ship but to discover what the product should be.

Code Layers Moves to Public Beta

Figma opened Code Layers to public beta after introducing it in private beta in June1

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. The feature adds code directly to designs on the canvas, enabling teams to create code-backed prototypes and explore ideas through interactive builds2

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. Users can ask AI agents to turn a Figma design into code or modify existing code while refining prototypes3

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. Teams can create code layers by prompting the Figma agent, pulling from GitHub repositories, or connecting coding agents through the Model Context Protocol4

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. Derek Onay, lead product designer at Rocket Money, explained that the real value lies in communicating ideas and gaining stakeholder alignment by sharing working prototypes where teams already collaborate.

Expanding AI-Driven Design Workflows Through MCP

Figma announced support for more than 20 new tools through its Model Context Protocol integrations1

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. New partners include OpenCode, Dia, Grok Bot, Meta Muse, and Indian AI startup Sarvam AI4

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. Dr. Pratyush Kumar, CEO and co-founder of Sarvam, described the partnership as an India-first AI collaboration that combines expertise in building AI for India with Figma's design context to help teams build higher quality products and reduce rework4

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. The expanded MCP capabilities allow teams to connect various coding agents and tools directly to the Figma canvas, creating a more integrated workflow for AI-driven design workflows.

Payload Integration Enables Dynamic Website Generation

Figma integrated Payload, the open-source headless CMS it acquired last year, with its Figma Make product1

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. The integration allows teams to build and deploy websites and internal tools using real content and data, with marketers able to update content through an administrative panel while developers customize applications using Payload's framework2

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. Figma reported that Payload downloads have increased sixfold over the past 12 months3

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. However, CEO Dylan Field clarified that Figma would not absorb hosting costs for products generating extremely high traffic, stating the company wants to give teams ways to manage content at scale without taking on unlimited infrastructure bills2

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Design System Management Gets Centralized Control

Figma introduced guidelines in published design libraries to help agents follow established patterns more easily4

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. The company also added the ability to import code sources, providing more control over design system management as teams create more content with AI agents. Mark Harvey, Staff Product Designer at Intuit, noted that bringing structured, formatted documents consistent across every file makes design files more accessible for non-designers4

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. These updates aim to ensure consistency and coherence across multiple brands and product experiences as AI becomes more central to the design process.

India Emerges as Key Market for Figma

Figma opened its first office in India late last year with sales, partnership, go-to-market, and product support functions1

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. The company identified India as its largest market by users outside the United States, with the platform used by 40% of India's top 100 companies listed on the Bombay Stock Exchange3

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. The choice to hold Config India as the company's first international Config event signals the strategic importance of the Indian market for Figma's growth.

Pricing Strategy Remains Unchanged Despite Expansion

Chief Design Officer Loredana Crisan confirmed that Figma would not package the new products individually, viewing the launches as extensions of existing tools rather than separate offerings2

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. She stated that several features use Figma's AI capabilities to generate what users want to build, and the company sees this as expanding the tool set designers need on the canvas. The announcements came one week after Figma launched its agent into general availability, positioning these updates as complementary features that work together to create a full-stack creative canvas where teams and agents can build from idea to ship in a visual-first way4

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