If you're reading Figma Make reviews, you're probably weighing whether it solves your prototyping problems or creates new ones. Figma Make turns natural language into React code inside Figma, but it assumes you're starting fresh. For most teams iterating on already-built apps, that means painstakingly recreating the UI before you can really validate anything. That's where a capture-based tool like Alloy changes the equation: one click, and you're editing your live product interface, not rebuilding it. Below, we compare design-to-code vs. live-capture methods, and why many PMs find Alloy a more practical fit for real-world product work in 2025.
TLDR:
- Figma Make converts prompts into React code but requires recreating your product UI manually, unless you maintain a full design file matching your live UI
- Alternatives like Alloy capture live products in one click, preserving your design system automatically.
- Tools for building new apps differ from tools that prototype changes to existing products.
- Alloy integrates with 30+ product tools and lets PMs prototype without designer dependencies.
What Is Figma Make and How Does it Work?
Figma Make is an AI-powered feature that converts natural language prompts into functional code and interactive prototypes directly within Figma. Users describe what they want to build in plain English, such as "create a login form with email and password fields," and receive React-based code output that can be used in development or testing.
The feature works through a conversational interface where designers or product teams type requests, and Make generates corresponding UI components with working code. The output includes both visual components and the underlying React code, which can be shared with developers or used to test interactions before committing to full implementation.
Because Make is integrated into Figma versus operating as a standalone tool, users can access it without switching contexts or exporting files to another application. This tutorial for using Make shows how designers can bridge the gap between static mockups and functional prototypes within their existing workflow.
Why You Should Consider Figma Make Alternatives
Figma Make brings AI prototyping into the Figma environment. You describe UI elements through prompts and receive React code output without leaving your design file.
However, several constraints lead teams to consider other options:
- Figma Make creates prototypes from scratch through prompts, starting from a blank canvas or existing Figma designs. Teams working on existing web applications must manually recreate their current UI before prototyping new features, unless they maintain a full design file matching their live UI
- There's no native way to capture live products directly from the browser. You lose the ability to prototype with your actual design system, components, and styles automatically in place.
- Product managers who don't work in design tools daily face friction. Figma Make's connections don't extend deeply into issue trackers, roadmapping tools, or customer feedback systems.
Teams that iterate on existing product interfaces often need prototyping tools that work with live applications versus requiring manual recreation of what already exists.
Best Figma Make Alternatives in December 2025
Alloy (Best Overall Alternative)
Alloy is an AI prototyping tool that captures live product interfaces from your browser and turns them into editable, interactive prototypes using natural language commands. It works with your actual product instead of starting from blank designs.
What Alloy offers:
- One-click browser capture of real product pages that become instantly editable, pulling in your existing design system, CSS, and brand styling automatically
- Natural language prototyping that lets you modify captured interfaces through text prompts while maintaining design token consistency
- Integration with product tools, including Jira, Linear, and Notion, for connecting prototypes to existing workflows
- Tradeoffs: may take time to capture, so could hinder very complex flows
Good for: Product teams and product managers at software companies who need to prototype changes to existing products and iterate without designer dependencies.
Bottom line: Alloy specializes in prototyping on existing products instead of building from scratch. While Figma Make requires recreating your product interface, Alloy captures your real application and lets you iterate on actual product UI.
V0
V0 is an AI design-to-code tool that converts prompts into React components with shadcn/ui styling.
What it offers:
- Text-to-React component generation with clean code output for frontend development
- Integration with Vercel for deployment
Good for: Frontend teams building new marketing pages or internal tools that work within the Vercel ecosystem.
Key limitation: V0 couples projects to Vercel and Supabase. It is mostly built for creating new applications from scratch, versus prototyping changes to existing products.
Lovable
Lovable is an AI development tool that generates full-stack prototypes from prompts with backend functionality.
What it offers:
- Prompt-to-app generation with full stack capabilities and built-in Supabase integration for database and auth
Good for: Teams building brand new products from scratch or early MVP validation, where speed matters more than matching existing design systems.
Key limitation: Lovable ties you to Supabase backend, and tweaking generated components may cause breakages. Not designed for working with existing product interfaces.
Reforge Build
Reforge Build is an AI prototyping tool that includes context and project-based workflows for generating prototypes.
What it offers:
- Browser extension for importing existing product designs with project context including product strategy docs
- Multiple design variant generation
Good for: Product teams wanting to include strategic documentation into the prototyping process.
Key limitation: As a newer entrant, Reforge Build has less polish and fewer features compared to more long-running alternatives.
Feature Comparison: Figma Make vs Top Alternatives
The right prototyping tool depends on whether you're building something new or iterating on an existing product. Here's how the leading alternatives stack up:
| Feature | Figma Make | Alloy | V0 | Lovable |
|---|---|---|---|---|
| Live Product Capture | ✗ | ✓ | ✗ | ✗ |
| Natural Language Prototyping | ✓ | ✓ | ✓ | ✓ |
| Preserves Existing Design System | Partial | ✓ | ✗ | ✗ |
| Code Export | React | View Only | React | Limited |
| Product Tool Integrations | Figma only | 30+ tools | Vercel/Supabase | Supabase |
| Multi-Screen Interactive Prototypes | ✓ | ✓ | Single Components | ✓ |
| Works on Existing Products | ✗ | ✓ | ✗ | ✗ |
| No Setup Required | Figma Account | Browser Extension | Account | Account |
Tools designed for building new apps excel at generating fresh interfaces but struggle when you need to prototype changes to existing products. Tools that capture live applications eliminate the recreation step and preserve your actual design system.
If your team spends most of its time iterating on an existing product, look at live capture and design system preservation over code export capabilities.
Every tool trades off something, be it speed, fidelity, or flexibility, so the right choice depends on how your team prototypes day to day.
Why Alloy Is the Best Figma Make Alternative
Alloy captures your live product in one click and lets you prototype changes that look indistinguishable from your real app. No recreating existing UI, no designer dependencies, and integrations with 30+ tools, including Jira and Linear, make prototyping part of your discovery workflow.
Final Thoughts on Design-to-Code Alternatives
When comparing Figma Make alternatives, the biggest difference is whether these alternatives work with existing products or require building from scratch. There isn't a perfect tool for every workflow, but choosing one that fits the way your team already works removes more friction than any individual feature. Alloy captures your live application in one click, so you can prototype changes without recreating your current UI. Remember to choose the tool that fits your actual workflow instead of forcing your process to match the tool.
FAQ
How does Figma Make differ from tools that capture live products?
Figma Make generates prototypes from prompts or existing Figma designs, starting from a blank canvas. Tools with live capture pull your actual product interface directly from the browser, preserving your design system and components automatically without manual recreation.
Can I export production-ready code from AI prototyping tools?
Most AI prototyping tools generate code for validation and testing, not production deployment. The goal is to create realistic prototypes that help teams learn what works before handing off insights to engineering for proper implementation.
What should I think about when choosing between design-to-code tools?
If you're building new applications from scratch, look at code export quality and framework compatibility. If you're iterating on existing products, look at live capture capabilities and design system preservation to avoid recreating what you already have.
How do product tool integrations improve the prototyping workflow?
Integrations with Jira, Linear, and Notion let you pull feature requests directly into your prototyping tool and push prototypes back into planning systems. This connects prototyping to your existing workflow instead of treating it as an isolated activity.
When should product managers use AI prototyping instead of waiting for designers?
Use AI prototyping during early discovery when you need to validate concepts quickly with stakeholders or customers. This lets designers focus on polishing verified ideas versus creating throwaway mockups for features that may not ship.