AI coding tools generate frontends that look close, but never match the design. You end up spending hours fixing spacing, fonts, colors, and layout. Design-to-code plugins generate rigid code. Visual regression tools catch problems but don't fix them. Visdiff closes the loop: paste your Figma link, and AI agents generate, verify, and fix the code against your design reference until it actually matches. No more "close enough." What you designed is what gets shipped.
Hello Hunter👋🏻
I'm Mouad, one of the co-founders of Visdiff.
We ran a development agency and every single project had the same problem: a client hands us a Figma design, we use the best AI coding tools available (Cursor, Claude, v0), and the output is never pixel-perfect. We'd spend 3-5 hours per page manually fixing things that should have been right.
We talked to dozens of developers and designers, turns out everyone has this pain. Agencies, freelancers, in-house teams. The AI tools are amazing at generating code, but terrible at visual accuracy.
So we're building Visdiff: a visual diffing engine that sits between Figma and your codebase. It generates code, screenshots the result, compares it pixel-by-pixel to the original design, and iterates until it matches.
We're looking for developers who want to be first in line when we ship. If you've ever wasted hours fixing AI-generated code to match a design, we're building this for you.
Would love to hear: what's the most annoying visual bug you keep having to fix manually?
How does it handle responsive designs where the same component looks different across breakpoints? Congrats on the launch!
This looks promising, and I can see the value when Figma and the codebase are perfectly in sync. However, in practice, production environments often diverge from the original designs—whether it’s updated iconography or elements that were cut during development but never reflected back in Figma. How does your tool manage these discrepancies between the 'source of truth' in design and the actual live implementation?
As someone that has experienced their design come out completely different when it gets implemented as code.... I love this idea. Are there certain differences that Visdiff have trouble detecting versus ones that it is best at?
Hi, I’d definitely use this! I have 2 questions though. How do you map elements from design to implementation under the hood? And a real friction point for lots of us is that, unless given incredibly specific instructions, AI tends to just throw a magic number or an !important to pass a visual check, which over-time adds up to crazy tech debt. Does Visdiff address this?
Congrats on the launch! When you say it integrates with existing codebases through MCP, what does that look like in practice?
What happens with responsive? Figma designs are usually at one breakpoint. Does VisDiff only match that specific size, or does it do anything to make sure the output doesn't fall apart at other screen widths?
Hey,
Congrats on the launch.
What makes you different from other similar products?
Is your target designers, agencies or developers?
I’ve run into this a lot working on frontend projects. The generation part is fast, but getting things pixel perfect still takes time. Curious to see how well this performs in real-world use.
Bold tagline. What happens when the design updates mid sprint, does it auto sync or require a manual pull?
