Figma Markdown editor turns brand guides into ship‑ready code

Figma is giving AI-assisted design more guardrails. At its Config event in India, the design platform introduced a new Markdown-based editor named Figma Specs. The goal is to capture a company’s design language in one place so AI agents can follow consistent brand rules when creating work.

Specs can live as a standalone file or sit alongside the design canvas. It isn’t just text; users can link to other Figma elements, embed FigJam diagrams, and reference code layers and designs. In practice, this means agents have a single source of truth for typography, color, spacing, and component usage, helping AI outputs stay on-brand.

Beyond Specs, Figma is widening access to its agent-on-canvas features, letting more teams guide AI-driven work right where designers operate. The aim is to curb the unpredictable nature of AI by giving clear controls and references that steer results toward what a human team would approve for production.

Another addition is code layers, which brings coding into the design canvas. Designers can produce interactive prototypes where the agent converts design elements into code. In public beta for broader testing, users can ask the agent to turn designs into code or adjust the code to iterate on a prototype. This moves AI-driven work closer to production-ready prototypes rather than just visuals.

Executives describe these tools as part of a broader shift: design teams should steer what gets built and how it ships, with AI acting as a collaborator that stays within defined boundaries. Loredana Crisan, Figma’s chief design officer, noted that while more code is created overall, releases don’t rise at the same pace, suggesting AI is increasingly used for discovery and exploration as well as production-ready output.

Figma is also tying these capabilities to its Payload headless CMS. The integration promises a smoother path from design to live content, with Payload downloads reportedly up over the past year. Figma’s growth in India underscores the country as a major market outside the U.S., and the platform notes collaboration with a significant slice of India’s top companies listed on the country’s main stock exchange.

For everyday users, the takeaway is straightforward: you can codify brand rules and design systems so AI agents have concrete guidelines to follow, reducing mismatches between designer intent and AI output. If you’re a product designer or design lead, try Specs to pin down your brand’s look before launching AI-assisted sessions. If your team uses Payload, you’ll have a clearer path to push AI-generated designs into live content more quickly.

What happens next: Figma plans to expand the agent-on-canvas experience and broaden the public beta for code layers. Expect more details at future Config events or in updates over the coming months.