Figma's Code Layers and Specs, Explained for Beginners: Design That an AI Can Build From

What Figma actually announced

Three things arrived together:

• Code Layers (open beta). A new kind of layer that holds real, running code on the Figma canvas. You can start one from an existing design frame, import code from GitHub, or capture a live web page — and then edit the result with prompts and see an interactive, working prototype instead of a static picture.
• Specs. A Markdown file attached to your work that states the rules: which colours, what spacing scale, how a button behaves, what the empty state says. The point is that the *same* document guides a human developer and an AI agent — and Figma can feed the Spec to an agent over MCP (the standard tool connection; the same protocol from our Python agents article) when it generates code.
• A backend for Figma Make (Payload). So the things you generate can have real data and logic behind them, not just a front.

Announcements move fast and beta details change, so treat everything in this article as "as announced on 15 October 2026" — the ideas will outlast the details.

Code Layers: from picture to working thing

Until now, a Figma frame was a picture of an app. It looked interactive in a prototype, but nothing underneath it ran. A Code Layer changes that: the frame becomes a small working program, rendered live on the canvas.

The beginner-friendly way to understand the workflow:

1. Start from a design. Take a frame you have already designed — say a login screen — or import existing code, or capture a page from the web.
2. Convert it into a Code Layer. Figma generates the code for that design and places it on the canvas as a living version of the frame.
3. Change it by describing what you want. Prompt-style edits ("make the button full-width on mobile", "add an error message under the password field") change the code, and you see the working result immediately — including real behaviour like typing into fields, not just pictures of typing.
4. Use it as a prototype that is honest. Because it is code, the prototype behaves like the real thing in ways static prototypes fake — which makes design reviews and handoffs much more truthful.

You do not need to write the code yourself for this to be useful. But notice what just happened to the designer's job: the valuable skill moves from *drawing* the screen to *judging and directing* the working version — spotting what is wrong, and describing the fix precisely. Which is exactly what Specs are for.

Specs: the rulebook you write once

A Spec is a short document — written in Markdown, the same simple formatting used in README files — that states your design's rules in plain language. Here is an example for the login screen above, written to show the shape (yours would describe your own design):

# Login Screen — Spec

## Colours
- Primary action: deep teal (#0F766E). Background: warm paper (#FBF7ED).
- Error text: dark red. Never use colour alone to show an error — add an icon or text.

## Spacing & type
- Spacing in steps of 8 (8, 16, 24, 32). Page padding 24.
- Headings: bold, 24px. Body: 16px, line height 1.6.

## Behaviour
- The Sign in button is disabled until both fields have text.
- A wrong password shows: "Email or password is incorrect" under the password field,
  and the field keeps its value so the user does not retype the email.
- On small screens the card goes full-width; the button stays at least 48px tall.

Why write this down? Three reasons, in increasing order of importance. First, you design more consistently — the rules stop every screen being invented from scratch. Second, a developer receiving your design stops guessing: the behaviour you intended is stated, not implied by a picture. Third — the new part — an AI agent can follow it. When Figma generates or edits code for your design, the Spec is the instruction set that keeps the output on *your* rules instead of the model's defaults. "Generate the settings screen following the Spec" produces something recognisably yours; without a Spec, you get something generically plausible.

That is the deep shift in this announcement, and it is a writing skill as much as a design skill: the clearer your Spec, the better the machine's work. Designers who can specify precisely will direct agents; designers who can only push pixels will compete with them.

What this means if you are learning UI/UX now

• Learn the fundamentals anyway. Code Layers do not know your user. Layout, typography, contrast, spacing and accessibility — the content of UI Design Fundamentals — are how you judge whether generated code is good. The tool generates; you remain responsible for taste and correctness.
• Start writing Specs before you ever open a Code Layer. You can practise today, on the free plan, with any design: after finishing a screen, write its rules in Markdown. It is a portfolio asset on its own — it shows an employer you think in systems.
• Expect to read code, not necessarily write it. Understanding what a button component is, what "state" means, why a layout breaks on a small screen — the bridge into the Frontend pillar — will make you dramatically better at directing and checking generated work.
• Portfolios change. A case study that shows the design, its Spec, and the working result tells a much stronger story than screenshots alone.

The honest limits — read this before the hype

• It is a beta. Code Layers are in open beta; features, names and limits will change. Some behaviour described here is from Figma's announcement and early coverage, not from months of production use.
• Cost. Per Figma's announcement, code generation and editing in Code Layers is free on paid plans through 4 November 2026, and after that it consumes AI credits. "Paid plans" matters: if you are on Figma's free plan, expect limits — check your own account before planning work around it.
• Generated code still needs review. Working is not the same as good: accessibility, performance and edge cases (empty states, long text, slow networks) are exactly what a Spec plus a careful human check are for.
• Nothing here replaces learning design. A beginner who skips the fundamentals and only prompts will produce fast, average work. The tool raises the floor; your judgement sets the ceiling.

Try it yourself (works even without beta access)

1. Pick any screen you have designed (or design a simple login screen now — one card, two fields, one button).
2. Write its Spec in Markdown using the example above as a template: colours, spacing, type, behaviour, small-screen rules. Keep it under one page.
3. Now design a *second* screen — a sign-up form — using only your Spec as the guide, a week later if you can. Every place you hesitate is a rule your Spec is missing. Add it.
4. If you have Code Layers access: convert one frame, then ask for a change twice — once with a vague prompt ("make it better"), once by pointing at your Spec ("apply the Spec's spacing and button behaviour"). Compare. That difference is the whole article, experienced first-hand.

Common mistakes

• Treating the announcement as a finished product. Beta means moving ground: date-stamp what you learn, and re-check before relying on a feature in paid client work.
• Prompting without a Spec. Vague prompts produce generic output you then cannot steer. The Spec is the steering wheel.
• Skipping the fundamentals because "AI does layout now". It does a layout. Whether it is a good one — readable, accessible, honest on a small screen — is your call, and making that call is the job.
• Assuming free means unlimited. The post-4-November credit model means heavy generation has a cost. Learn the workflow on small pieces first.

Frequently asked questions