Figma AI Agents: New Controls Help Enforce Design Rules

What Figma Announced at Config India

Figma introduced the features at its first Config event in India. The announcement follows the company’s recent expansion of access to its on-canvas agent, which can work within a Figma file. The new controls address a related challenge: giving agents enough direction to make their work useful within an existing design process.

Rather than expecting an agent to infer a team’s rules from a prompt alone, teams can provide design-system information and guidelines as context. Figma’s approach brings that context closer to the files, libraries and documentation designers already use.

How Figma Specs Gives Agents More Design Context

Figma Specs is a Markdown-based editor for documenting a team’s design language. Teams can use it to describe their standards and decisions in a format that can be read by both people and AI agents.

Specs can exist as standalone files or alongside the design canvas. They can also reference Figma elements, FigJam diagrams, code layers and designs. That means guidance does not have to sit in a disconnected document: teams can relate written rules to the visual or technical materials they describe.

For example, a team could document how its interface uses typography, colors or components, then connect that guidance to the relevant designs and libraries. An agent working with those resources has more specific direction than it would from a broad request such as “make this match our brand.” The usefulness of that context will depend on how clearly teams document their system and keep it current.

Connecting Design Libraries, Code and Payload

Figma also described ways for teams to give agents access to design libraries, code libraries and guidelines. These sources can help an agent understand not only how an interface should look, but also how the team’s existing components and implementation relate to the design.

The announcement also included a reported integration with Payload, a headless content management system. The integration points to a broader effort to connect design work with tools used to build and manage digital products. The announcement did not establish that every agent can automatically use every connected resource, so teams should consider which systems and permissions apply to their workflows.

Why Teams Need Ways to Steer AI Agents

AI agents can be non-deterministic: the same instruction may not always produce the same result. They can also miss unstated expectations, such as a team’s preferred component choices or accessibility conventions. More context and explicit rules give teams a way to steer outputs, though they do not guarantee that every result will be correct or ready to ship.

For design teams, the practical value is a chance to make established knowledge easier for agents to use, rather than relying on individuals to repeat the same instructions in every prompt. Review your design system and guidelines, then explore how Figma Specs and connected libraries could help AI agents produce work that fits your team’s conventions.

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