Nearly three weeks after it was introduced at Figma Config 2025, I finally got access to Figma Make. It is in beta and Figma made sure we all know. So I will say upfront that it’s a bit unfair to do an official review. However, many of the tools in my AI prompt-to-code shootout article are also in beta. 

Since this review is fairly visual, I made a video as well that summarizes the points in this article pretty well.

Last week, Figma held their annual user conference Config in San Francisco. Since its inception in 2020, it has become a significant UX conference that covers more than just Figma’s products and community. While I’ve not yet had the privilege of attending in person, I do try to catch the livestreams or videos afterwards.

Nearly 17 months after Adobe and Figma announced the termination of their merger talks, Figma flexed their muscle—fueld by the $1 billion breakup fee, I’m sure—by announcing four new products. They are Figma Draw, Make, Sites, and Buzz.

• Draw: It’s a new mode within Figma Design that reveals additional vector drawing features. 
• Make: This is Figma’s answer to Lovable and the other prompt-to-code generators. 
• Sites: Finally, you can design and publish websites from Figma, hosted on their infrastructure.
• Buzz: Pass off assets to clients and marketing teams and they can perform lightweight and controlled edits in Buzz. 

With these four new products, Figma is really growing up and becoming more than a two-and-half-product company, and is building their own creative suite, if you will. Thus taking a big swing at Adobe.

There has been an explosion of AI-powered prompt-to-code tools within the last year. The space began with full-on integrated development environments (IDEs) like Cursor and Windsurf. These enabled developers to use leverage AI assistants right inside their coding apps. Then came a tools like v0, Lovable, and Replit, where users could prompt screens into existence at first, and before long, entire applications.

A couple weeks ago, I decided to test out as many of these tools as I could. My aim was to find the app that would combine AI assistance, design capabilities, and the ability to use an organization’s coded design system.

While my previous essay was about the future of product design, this article will dive deep into a head-to-head between all eight apps that I tried. I recorded the screen as I did my testing, so I’ve put together a video as well, in case you didn’t want to read this.

With their annual user conference, Config, coming up in San Francisco in less than two weeks, Figma released their 2025 AI Report today.

Andrew Hogan, Insights lead:

While developers and designers alike recognize the importance of integrating AI into their workflows, and overall adoption of AI tools has increased, there’s a disconnect in sentiment around quality and efficacy between the two groups.

Developers report higher satisfaction with AI tools (82%) and feel AI improves the quality of their work (68%). Meanwhile, designers show more modest numbers—69% satisfaction rate and 54% reporting quality improvement—suggesting this group’s enthusiasm lags behind their developer counterparts.

This divide stems from how AI can support existing work and how it’s being used: 59% of developers use AI for core development responsibilities like code generation, whereas only 31% of designers use AI in core design work like asset generation. It’s also likely that AI’s ability to generate code is coming into play—68% of developers say they use prompts to generate code, and 82% say they’re satisfied with the output. Simply put, developers are more widely finding AI adoption useful in their day-to-day work, while designers are still working to determine how and if these tools best fit into their processes.

I can understand that. Code is behind the scenes. If it’s not perfect, no one will really know. But design is user-facing, so quality is more important.

Looking into the future:

Though AI’s impact on efficiency is clear, there are still questions about how to use AI to make people better at their role. This disparity between efficiency and quality is an ongoing battle for users and creators alike.

…

Looking forward, predictions about the impact of AI on work are moderate—AI’s expected impact for the coming year isn’t much higher than its expected impact last year.

In the full report, Hogan details out:

Only 27% predict AI will have a significant impact on their company goals in the next year (compared to 23% in 2024), with 15% saying it will be transformational (unchanged year-over-year).

The survey was taken in January with a panel of 2,500 users. Things in AI change in weeks. I’m surprised at the number and part of me believes that a lot of designers are hiding their heads in the sand. AI is coming. We should be agile and adapt.