Stitch generates UI screens for mobile and web from text prompts, with streaming edits, in-place AI changes, and one-click export to Figma, Netlify, Lovable, and Bolt. For product designers and developers prototyping fast.
The part of this Stitch update that changes the workflow is the DESIGN.md import, and it doesn't get enough attention in the headline features.
Generative design tools have a consistent blind spot: they ignore everything you've already built. You prompt them, get a screen that looks nothing like your product, and spend the next hour reconciling tokens and components. Stitch now reads your existing codebase, Figma file, or live website before it generates anything, extracting your design language via an open standard called DESIGN.md. The output starts from your context, not from scratch.
Paired with the rest of the I/O update:
Streaming generation with live steering before the screen is finished
In-place edits for element-level changes without full regeneration
HTML-native canvas with real animation and interactive state previews
MCP-based codebase sync to push visual edits back to your code via an agent
Export to Figma, Netlify, Lovable, and Bolt in one click
Built for developers and product builders using AI coding agents who need a design layer that connects to their codebase rather than creating a parallel one.
Generating UI screens on a live canvas is where this gets interesting for mobile devs most AI design tools are still web-first. Does it export to SwiftUI or Xcode-compatible formats or mostly stays in the design layer?
So far the expirience with generating some samples for my personal WebApp project were nice in Stitch 2.0, am excited to try and test out 3.0 as well, would try the same prompts and see how much it has improved since it took a few tries before even though mentioned in prompt for the design style yet it seemed to have missed a bit before some elements
One-click export to Lovable and Bolt is a nice touch for the AI coding workflow. Does the export preserve all the interactive states and animations, or does it flatten things down to static components?
Curious how Hatter handles component consistency when the sketch input is ambiguous — does it infer a design system automatically, or does the user need to define tokens upfront?
I cancelled hiring a web designer and a front-end developer- but I do have my visual identity and brand assets carefully and intentionally designed
It's great to see stitch becoming better. I started my career from design and started using stitch time after time, since it launched. I really liked the tool until it was on Gemini Pro 3.0 and when it started using 3.1, there were issues and inconsistencies and that's when i moved to claude design.
I'll give it a go again and hope for the best, congrats to the whole team!
tried a few generations and the speed is impressive. I can see this being genuinely useful for rough ideation, especially when you want to explore layouts quickly even for zero UI/UX experience user.
I like how Stitch MCP works with Antigravity - I can finally get consistent design done.
Already used Stitch for one of my websites and honestly had zero UI UX experience going in. The results were good enough that people actually complimented the design without knowing it was AI generated. Version 3.0 with live canvas and in-place edits sounds even better. This is the kind of tool that makes you look like you know what you are doing even when you don’t.
About Stitch 3.0 by Google on Product Hunt
“Generate and iterate UI screens with AI on a live canvas”
Stitch 3.0 by Google launched on Product Hunt on May 24th, 2026 and earned 473 upvotes and 16 comments, earning #1 Product of the Day. Stitch generates UI screens for mobile and web from text prompts, with streaming edits, in-place AI changes, and one-click export to Figma, Netlify, Lovable, and Bolt. For product designers and developers prototyping fast.
Stitch 3.0 by Google was featured in Design Tools (260.4k followers), User Experience (365.7k followers) and Artificial Intelligence (469.8k followers) on Product Hunt. Together, these topics include over 165k products, making this a competitive space to launch in.
Who hunted Stitch 3.0 by Google?
Stitch 3.0 by Google was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Stitch 3.0 by Google stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
The part of this Stitch update that changes the workflow is the DESIGN.md import, and it doesn't get enough attention in the headline features.
Generative design tools have a consistent blind spot: they ignore everything you've already built. You prompt them, get a screen that looks nothing like your product, and spend the next hour reconciling tokens and components. Stitch now reads your existing codebase, Figma file, or live website before it generates anything, extracting your design language via an open standard called DESIGN.md. The output starts from your context, not from scratch.
Paired with the rest of the I/O update:
Streaming generation with live steering before the screen is finished
In-place edits for element-level changes without full regeneration
HTML-native canvas with real animation and interactive state previews
MCP-based codebase sync to push visual edits back to your code via an agent
Export to Figma, Netlify, Lovable, and Bolt in one click
Built for developers and product builders using AI coding agents who need a design layer that connects to their codebase rather than creating a parallel one.
Free in Google Labs with generation limits. Give it a go at stitch.withgoogle.com.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends