With AI rapidly reshaping how designers work, tools like Figma Make and Lovable are redefining what’s possible in design and prototyping.
Both platforms aim to simplify how teams build, test, and ship digital products, but they do it in very different ways.
While Figma Make enhances the Figma ecosystem with fast, interactive prototyping capabilities, Lovable bridges the gap between design and development by integrating backend logic and databases.
If you’re comparing Figma Make vs Lovable and wondering which one best fits your workflow, this detailed comparison will help you make an informed decision.
An Overview of Design Systems
Design systems are the backbone of modern digital products. They bring consistency, scalability, and efficiency to the design process by aligning UI elements, brand identity, and code standards.
In essence, a design system ensures that designers, developers, and stakeholders share a common visual language.
As digital experiences become increasingly complex, tools that support design systems, such as Figma Make and Lovable, play a critical role. These tools make it easier to manage components, test user interfaces, and maintain design consistency across products and platforms.
Figma Make: Fast Prototyping in the Figma Ecosystem
Figma Make is built for designers who want to move fast. It allows teams to create interactive prototypes directly within Figma, minimizing the friction between design and code.
Here’s what makes Figma Make stand out:
- Seamless Figma Integration: Since Figma Make lives inside Figma, there’s no need to export files or switch tools. Everything happens in one place, from wireframes to fully functional prototypes.
- AI-Assisted Prototyping: Using natural language prompts, designers can generate actual front-end code for their prototypes. This helps bring ideas to life faster without requiring manual writing of a single line of code.
- Real-Time Collaboration: Teams can collaborate in real-time, review design changes, and track updates with a version history. This makes it easier to test user flows and iterate quickly.
- Ideal Use Case: Figma Make is perfect for design teams focused on creating high-fidelity prototypes and testing UI design concepts efficiently.
If your goal is to produce pixel-perfect prototypes that accurately reflect your design system, Figma Make is a strong choice.
Read more: How to Use Figma for Product Design
Lovable: AI-Powered Development for Non-Technical Teams
Lovable takes a more comprehensive approach by merging design with development. It’s an AI-powered tool that helps non-technical users create full-stack prototypes complete with backend logic, database integration, and live functionality.
Here’s what makes Lovable different:
- No-Code Meets AI Development: Lovable enables users to build functional prototypes without writing a single line of code. You can design interfaces, add logic, and even connect to databases, all powered by AI.
- GitHub Integration and Auto Layout: It integrates directly with GitHub, enabling seamless version control and collaboration between designers and developers. Auto layout ensures your designs remain responsive and visually consistent.
- Rapid Product Building: Lovable is ideal for startups, product managers, and solo founders who need to quickly validate ideas and build prototypes that behave like real applications.
- Versatile Application: Beyond UI prototyping, Lovable supports user testing, web app creation, and portfolio site development, making it a flexible tool for diverse product needs.
If you’re looking for an AI-powered design tool that goes beyond UI and supports real app logic, Lovable is worth exploring.
Check out: Best Tools to Convert UI to Code
Figma Make vs Lovable: Key Features Comparison
To help you decide which tool fits your workflow, here’s a side-by-side look at their key features:
| Feature | Figma Make | Lovable |
| Primary Focus | Fast UI prototyping | Full-stack AI-powered app creation |
| Integration | Seamless Figma ecosystem | GitHub, backend, and database |
| Coding Requirement | No coding needed | No coding, AI handles backend logic |
| Collaboration | Real-time Figma collaboration | GitHub integration and multi-user support |
| Design System Support | Strong, Figma-native | Moderate, supports auto-layout |
| Ideal Users | Designers and UI/UX teams | Product managers and startups |
| Output | Interactive prototypes | Functional apps and web prototypes |
| Learning Curve | Low, for existing Figma users | Moderate, for non-technical builders |
| AI Features | Code generation and prototyping | Backend logic, layout automation, and deployment |
Figma Make and Lovable: User Interface Design Capabilities
Both tools shine in UI design, but their approaches differ.
- Figma Make lets you build pixel-perfect, responsive interfaces using Figma’s powerful design tools. You can then add interactivity to simulate real user journeys.
- Lovable, meanwhile, uses AI-generated layouts to speed up design creation. It automatically adjusts spacing, hierarchy, and responsiveness, reducing the need for manual adjustments.
Verdict: If your focus is on crafting detailed, custom UI components, Figma Make gives you more design control. If you prioritize speed and automation, Lovable’s AI will save you time and effort.
Lovable vs Figma Make: Design Concepts and Collaboration
Collaboration is vital in any design process.
- Figma Make leverages Figma’s powerful multiplayer collaboration, enabling teams to co-design, comment, and revise in real time.
- Lovable extends collaboration to developers and PMs through GitHub integration. It aligns design with development goals, ensuring smoother transitions from mockups to production.
Verdict: Both tools encourage feedback loops and iteration, but their collaboration depth differs based on the team composition:
- Figma Make is best for design-focused teams.
- Lovable is best suited for cross-functional teams (design, development, and product).
Figma Make or Lovable: Design Process and Intent
In any digital project, understanding the design intent is key, i.e., what the designer wants the user to experience.
- Figma Make helps designers express intent visually. Its interactive prototypes are ideal for sharing ideas, testing workflows, and gathering feedback before development begins.
- Lovable, on the other hand, turns that intent into a live experience. By integrating AI-driven backend logic, teams can test real interactions, not just visuals.
Verdict: Both tools speed up the design process, but they do it differently:
- Figma Make accelerates the design-to-prototype phase.
- Lovable accelerates the prototype-to-product phase.
Lovable and Figma: AI-Powered Design and Development
Both Figma Make and Lovable harness AI to redefine how design and development connect.
- Figma Make uses AI to turn design prompts into production-ready code, streamlining workflows and minimizing manual handoffs.
- Lovable, however, takes it a step further by adding backend logic, API connections, and live databases, transforming static prototypes into fully functional digital products.
Verdict: Choose Figma Make for seamless design-to-code acceleration within Figma’s ecosystem. Opt for Lovable if you need an end-to-end AI solution that automates both design and product creation.
Figma Make vs Lovable: Functional Prototyping and Testing
Prototypes are where design meets reality. Both tools help teams test and iterate, but at different levels of fidelity.
- Figma Make focuses on interactive prototypes that simulate real user flows. You can gather usability feedback, test visual hierarchy, and validate user journeys.
- Lovable delivers functional prototypes with real logic, letting teams test actual workflows and data handling. This makes it ideal for early MVPs or user testing sessions that mimic real app behavior.
Verdict: If you want visual testing, choose Figma Make. If you want functional testing, Lovable is your best bet.
Know more: Best MVP Tools That Every Startup Should Know
Lovable or Figma Make: Design Ecosystem and Tool Integration
Your choice of tool depends on how it fits within your design ecosystem.
- Figma Make extends the existing Figma workflow, which is ideal for teams already using Figma for UI/UX design. It integrates smoothly with plugins, design systems, and version control within Figma.
- Lovable, by contrast, creates its own ecosystem that bridges design, development, and deployment. It doesn’t rely on Figma but offers GitHub integration for versioning and collaboration.
Verdict: If you’re deeply invested in the Figma ecosystem, Figma Make feels natural. However, if you’re looking for an end-to-end solution, from interface design to live product, Lovable may be a more appealing option.
Also read: Top AI Design Trends Revolutionizing UI UX
Figma Make vs Lovable: Choosing the Right Tool
When it comes to Figma Make vs Lovable, the right choice depends on your goals, team size, and technical expertise.
Choose Figma Make if:
- You’re already using Figma daily.
- You want fast, high-fidelity prototypes.
- Your focus is on design systems and UI testing.
- You collaborate mainly within design teams.
Choose Lovable if:
- You need to build functional prototypes with backend logic.
- You’re a product manager, founder, or non-technical builder.
- You want to test live app behavior and collect real data.
- You want AI to assist in both design and development.
Both tools have their strengths, but they serve slightly different purposes. Figma Make is a design accelerator; Lovable is a product builder.
Conclusion
As design and development continue to merge, tools like Figma Make and Lovable are leading the transformation.
Figma Make empowers designers to prototype faster within the familiar Figma environment, turning ideas into interactive experiences in minutes.
Lovable, meanwhile, empowers creators to go further by building fully functional, AI-driven prototypes that connect design with real logic and data.
Ultimately, the best choice depends on where you are in your product journey:
- If you’re refining UI/UX and need speed, go with Figma Make.
- If you’re validating real product ideas and need backend power, Lovable is the way to go.
Both are AI-powered design tools redefining how we build digital experiences, and either one can help your team move from concept to creation faster than ever before.
Figma Make vs Lovable FAQs
What makes Figma Make and Lovable different?
Figma Make focuses on rapid prototyping within the Figma platform, while Lovable offers full-stack capabilities for building functional apps with backend integration.
Are these AI tools suitable for design teams?
Yes, both are great for teams focused on turning design ideas into interactive experiences without heavy coding.
Can they generate real code?
Absolutely. Both use AI-generated code to convert Figma designs or UI layouts into ready-to-test interfaces and live prototype experiences.
Do I need technical expertise to use them?
Not necessarily, but Lovable sometimes requires git knowledge for syncing design files and version control.
Are they good for web design and internal tools?
Yes, both support web design and internal tools development, though Lovable’s full-stack applications extend beyond static design prototypes.
Do they have paid plans or advanced features?
Yes, both offer paid plans with advanced features like an AI assistant, fast iteration, and iterative development options.
Are there any drawbacks or similar tools?
Some users mention vendor lock-in, but Figma remains a leader for Figma-based design workflow compared to similar tools. Choosing between the two depends on project goals. Lovable only makes sense if you need end-to-end functionality.
