Figma has been pushing its AI features for over a year and every update comes with big promises. I'm a developer, not a designer, but I use Figma every day to prototype, collaborate with designers, and build component systems. I've tested every AI feature in real project context. Here's my unfiltered verdict.
Context Matters
First: I'm not a professional designer. I evaluate these features from the perspective of a full-stack developer who uses Figma as a work tool, not as an artistic canvas. That changes what matters to me.
For me, an AI feature in Figma is useful if it reduces repetitive steps or eliminates work that doesn't require creativity. If it asks me to make complex creative decisions to function, it doesn't serve me.
What Actually Works
Component Autocomplete
This is the feature I use most. When you're building a layout and start placing elements, Figma AI suggests components that likely belong there based on the design context. It doesn't always get it right, but when it does it saves real time.
What I like is that the suggestions respect the existing design system in the file. Generic components don't appear — yours do. That makes all the difference.
Semantic Asset Search
Before, I searched icons by typing their exact name. Now I can type "add user" and Figma finds icons for "add user", "person plus", "user new" from my library. Small change, big impact when working with libraries of hundreds of components.
Contextual Filler Text Generation
No more Lorem Ipsum. Figma AI generates filler text that makes sense for the component: if it's a product card, it generates a product name and short description. If it's a system notification, it generates a system message. This makes prototypes far more presentable for stakeholders.
Design Inconsistency Detection
Figma AI flags inconsistencies in your file: text using a font not defined in the design system, a color that isn't a token, spacing that doesn't follow the grid. It's like having a linter but for design. On projects with multiple collaborators, it's invaluable.
What Doesn't Deliver on Its Promises
Full Layout Generation
The feature for generating a layout from a text prompt ("create a login page with email and password fields") produces generic results that always need to be rebuilt. The output doesn't respect the design system, ignores the project's spacing conventions, and often has odd proportions.
It's impressive in demos, useless in production. For now.
"Make It Better" for Existing Designs
The "improve design" button is the most overrated feature in Figma AI. Press it and it makes random changes to text sizes and colors with no coherence to anything. Don't use it. It will undo good work.
Code Generation from Design
Code export improved, but it still generates CSS no developer would want to use directly. Variable names are generic, the structure doesn't respect any particular framework, and there are hardcoded properties that should be tokens. Useful as a reference, not as final code.
My Current Usage
In practice, I use Figma AI for three things: semantic asset search, contextual filler text, and inconsistency detection. Everything else I ignore for now.
The generative features aren't yet at the level of being part of a serious professional workflow. They're demonstrations of where the product is going, not mature tools.
Is It Worth the Cost?
Figma AI features are included in existing plans, so the question isn't whether to pay more but whether to configure and learn them. The answer is yes, but with calibrated expectations.
Figma AI in 2026 is promising but imperfect. In two years it could be different. For now, use it for the specific things that work and don't force it where it isn't ready yet.