Difficulty: Intermediate · Last updated: December 12, 2026 · By Mantlr Editorial
An honest guide to Figma Make's limitations in 2026 — where it falls short, what it can't do, and which tool to reach for instead.
Key takeaways
Six honest things about Figma Make's limitations in 2026:
1. Make's code is for prototypes, not production. Shipping it as production code creates technical debt
2. Design system fidelity is the weakest area — even with Make kits, generic styling sneaks in
3. Complex business logic (permissions, multi-tenant architecture, branching workflows) hits walls fast
4. Make has no real local development environment — everything runs in the cloud sandbox
5. Backend integration is Supabase-only; teams on other stacks can't integrate natively
6. Production migration usually means rebuilding, not refactoring — plan for it
On this page
- Why we're writing this article (and why most aren't)
- Limitation 1: Code quality is for prototypes, not production
- Limitation 2: Design system fidelity is uneven
- Limitation 3: Complex business logic hits walls
- Limitation 4: No real local development
- Limitation 5: Backend stack is Supabase-only
- Limitation 6: Multi-page flows get inconsistent
- Limitation 7: No version control beyond Figma's native history
- Limitation 8: Performance optimization is hard
- When to use Figma Make anyway
- When to reach for something else
- Frequently asked questions
- Related articles
Most articles about Figma Make are enthusiastic. They list features. They show impressive screenshots. They skip the parts that matter most for working designers: what doesn't work, where the tool falls short, when you'll regret choosing it.
This article fills that gap. We've used Figma Make for the past year on real projects — prototypes, MVPs, internal tools, stakeholder demos. The tool is genuinely useful. It's also genuinely limited in specific ways that matter when you're trying to ship work. Knowing the limitations upfront saves hours of frustration and bad architectural decisions.
This is the honest article. Not because Make is bad — it's not — but because the breathless coverage out there leaves designers unprepared for the realities of using it on actual projects.
If you're new to Figma Make, read What Is Figma Make? first for the full picture. Then come back here for the unflattering details.
Quick wins
1. Treat Make's output as prototype code from day one. Don't expect to ship it.
2. For brand-critical work, set up Make kits before generating anything. Otherwise expect generic styling.
3. When Make can't handle your use case, switch tools instead of fighting it. Lovable, v0, Cursor, or real developer environments each beat Make at specific things.
Why we're writing this article (and why most aren't)
A note on framing before the limitations themselves.
Most articles about Make are written within weeks of a feature launch. The Figma agent. Make kits. Backend integration. Each release generates a wave of enthusiastic content from writers who haven't yet built real things with the tool.
Real evaluation requires months of usage on real projects. The limitations below are what surfaced after a year of using Make for production work — prototypes we shipped to stakeholders, MVPs we tested with users, internal tools we still maintain. Some limitations are by design (Make is a prototyping tool, not a production environment). Some are gaps that Figma will likely close in future releases. Some are fundamental constraints that won't change soon.
We're writing this because Mantlr's editorial position is honest evaluation, not hype. If you're trying to decide whether Make fits your workflow, you need the realistic picture, not the marketing version.
Limitation 1: Code quality is for prototypes, not production
Make generates clean-looking React + Tailwind code. The output runs. It works. It looks polished.
But it's not architected for production.
Specifically:
- No separation of concerns. Components, state management, API calls, and styling often mix in ways that work but don't scale.
- No reusable abstractions. Make generates everything inline. The same logic appears in five places instead of one shared utility.
- No testing setup. No unit tests, no integration tests, no testing infrastructure.
- Inconsistent patterns across files. Two screens that should follow the same pattern often follow different ones.
- Hard-to-maintain class names. Tailwind classes are inlined directly, sometimes in patterns that resist later refactoring.
For prototypes that get thrown away after validation, none of this matters. For prototypes that someone wants to ship "with just a few tweaks" — this is where teams get into trouble. The "few tweaks" become a multi-week rewrite.
The honest framing: treat every Make-generated codebase as throwaway from day one. Get validation, then rebuild on a real foundation. If you must keep some of Make's code, plan a refactoring pass before any new feature work begins.
Alternative: For production code generation that respects your real codebase, use the Figma MCP server with Cursor or Claude Code.
Limitation 2: Design system fidelity is uneven
Make's biggest weakness in 2026 is using your design system reliably. Three reasons:
Without Make kits, fidelity is poor. Generic Tailwind classes. Approximate spacing. Colors that approach your brand but aren't exact. Components that look familiar but aren't yours.
Even with Make kits, fidelity is inconsistent. Make sometimes uses your real components from the kit. Other times, especially for variants you haven't documented in guidelines, it falls back to generic versions. The same prompt can produce different output across runs.
Imported Figma library context isn't always honored. You can attach your Figma Design library to Make, but Make doesn't always use the attached library reliably. Generic styling sneaks in for components you'd expect to be library-referenced.
The compounding problem: design system drift across multiple Make files. Each new prototype your team generates might use your system slightly differently. Reviewing dozens of Make-generated screens across teams reveals inconsistencies that wouldn't exist in human-designed work.
The honest framing: for brand-critical work, set up Make kits carefully and write detailed guidelines. Even then, expect to spot-check output for design system adherence. Don't trust Make to use your system flawlessly.
Alternative: For exact design system control, the Figma agent inside Figma Design produces more consistent results when working from your published library.
Limitation 3: Complex business logic hits walls
Make is great at standard CRUD operations, simple auth, and common UI patterns. It struggles with:
- Complex permissions systems. Roles, hierarchies, conditional access — Make can implement these naively but breaks on edge cases.
- Multi-tenant architecture. Apps where data is isolated per organization with shared admin views. Make's key-value backend doesn't handle this cleanly.
- Workflows with branching logic. Multi-step forms with conditional paths based on previous answers. Make can build them, but maintenance is painful.
- Payment processing beyond basics. Simple Stripe checkout works. Complex billing — subscriptions with proration, dunning, dispute handling — needs custom development.
- Background job queues. Operations that need to run reliably in the background, with retries and failure handling. Edge Functions can do some of this but aren't a real job queue.
- Real-time collaboration. WebSocket-based collaborative editing patterns. Make's Supabase real-time integration is limited.
Pushing Make into these territories produces working-looking prototypes that fall apart on edge cases. For demo purposes, often acceptable. For real production use, not.
The honest framing: when your app needs complex business logic, recognize the limitation early. Prototype the UI in Make. Build the actual business logic in a real developer environment. Don't try to make Make do everything.
Alternative: Lovable handles full-stack complexity better than Make. For real production engineering, conventional development tools (real IDEs, real frameworks) remain necessary.
Limitation 4: No real local development
Make runs entirely in Figma's cloud sandbox. There's no way to:
- Run a Make app on your local machine for offline development
- Use your own development environment (VS Code, custom dotfiles, your terminal)
- Debug using browser dev tools beyond what Make's preview exposes
- Profile performance with real tools
- Test on local network conditions
- Run the code through your team's standard build and test pipeline
For prototypes, none of this matters. For more serious development work, the cloud-only constraint becomes annoying fast.
The workaround is to export Make's code and run it locally — but this defeats most of Make's value proposition (the integrated prompt-to-app workflow).
The honest framing: Make is for cloud-based prototyping. If you want a local development workflow, you're using the wrong tool. Use a real IDE with MCP-connected AI tools instead.
Alternative: Cursor or Claude Code with Figma MCP for local development workflows that incorporate Figma design context.
Limitation 5: Backend stack is Supabase-only
Make integrates with Supabase. Period. If your team uses:
- Firebase
- AWS Amplify
- Custom Node.js + Postgres
- Ruby on Rails
- Django + Postgres
- .NET + SQL Server
— Make doesn't natively connect.
For prototypes, this is often fine. Just use Supabase for the prototype, validate the idea, then rebuild on your team's actual stack. For teams that want to evolve a prototype directly into production on their existing infrastructure, the Supabase-only constraint forces a rewrite.
The deeper limitation: Make's backend code is written assuming Supabase. Migrating it to a different backend usually means rewriting the data access layer, the auth integration, and the API call patterns.
The honest framing: Make is a prototyping tool with a prototyping backend. Don't expect prototype-to-production continuity on a non-Supabase stack.
Alternative: Lovable has broader backend flexibility. For exact stack alignment, conventional development tools with AI assistance.
Limitation 6: Multi-page flows get inconsistent
Single-screen generation is reliable. Multi-page or multi-screen flow generation is less so. Common problems:
- State management between screens. Data passed from screen 1 to screen 2 sometimes doesn't persist correctly.
- Style consistency across screens. Make can generate screens with slightly different visual treatment despite identical prompts.
- Navigation patterns. Make sometimes uses different navigation approaches for the same app across different screens.
- Component reuse. Components that should be reused (header, footer, sidebar) sometimes get regenerated as new instances with subtle differences.
The workaround is to build flows screen-by-screen instead of asking Make to generate the entire multi-screen flow at once. Slower but more reliable.
The honest framing: Make works best on single screens. For multi-screen flows, expect to iterate carefully and watch for consistency issues.
Alternative: Build the design system foundation in Figma Design (using the agent for acceleration), then generate individual screens in Make.
Limitation 7: No version control beyond Figma's native history
Make files have Figma's built-in version history. You can revert to previous versions. You can compare versions. You can name versions.
You CAN'T:
- Branch the code (no Git branching)
- Diff specific code changes (only see preview-level differences)
- Merge changes from different versions
- Use pull request workflows
- Integrate with GitHub or other Git repositories for the Make file itself
For collaborative engineering work, this is a significant limitation. For solo prototyping, less critical. But teams building together on Make files often hit collaboration friction.
The honest framing: Make's collaboration is designer-collaboration, not engineering-collaboration. For Git-based workflows, export the code and continue development in a real environment.
Limitation 8: Performance optimization is hard
Make's generated apps are functional but not optimized. Common performance issues:
- Unoptimized bundle sizes. Make often imports more dependencies than needed.
- Inefficient re-renders. State management patterns sometimes trigger excessive re-renders.
- No code splitting. Generated apps load everything upfront instead of lazy-loading.
- Unoptimized images. No automatic image optimization or responsive image handling.
- No caching strategies. API calls don't use caching beyond what the libraries provide.
For prototypes, performance often doesn't matter. For apps tested with real users at scale, slow loads and laggy interactions hurt validation results.
The honest framing: if your prototype needs to perform well for user testing, expect to manually optimize. Make doesn't do it automatically.
Alternative: For production-grade performance, conventional development with proper bundling, code splitting, and image optimization.
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When to use Figma Make anyway
After all those limitations, you might wonder when Make actually IS the right choice. Three clear use cases:
1. Validating ideas before engineering investment. Make's speed is its biggest asset. Going from idea to clickable prototype in hours beats every other approach. Use it for: testing concepts with stakeholders, gathering early user feedback, exploring multiple directions before committing engineering resources.
2. Internal tools that don't need production-grade architecture. Dashboards, admin panels, simple workflow apps for small teams. Make's prototype-level code quality is often sufficient. Use it for: ops dashboards, internal automation interfaces, team-specific tools where rapid iteration matters more than scalability.
3. Stakeholder demos and pitch materials. A working prototype communicates a vision better than static designs. Use it for: investor pitches, executive presentations, sales demos where seeing a working flow makes the difference.
For these use cases, Make's limitations don't matter. The speed and ease of building functional prototypes outweighs the code quality and architectural concerns.
When to reach for something else
Five scenarios where another tool is the better choice:
1. You need production code. Use the Figma MCP server with Cursor, Claude Code, or Codex for code that respects your real codebase architecture.
2. You need exact design system fidelity. Use the Figma agent inside Figma Design for design work that needs to match your published library exactly.
3. You need complex full-stack functionality. Use Lovable for full-stack apps with complex business logic and backend functionality.
4. You're building frontend-only on shadcn. Use v0 by Vercel for frontend prototyping in the shadcn ecosystem with tighter Vercel deployment.
5. You need local development. Use conventional development tools (real IDEs, real frameworks) with AI assistance via Cursor, Copilot, or Claude Code.
The framing that helps: pick the tool that fits the job. Make has a specific job (prompt-to-prototype). For other jobs, other tools beat it.
Frequently asked questions
What are Figma Make's biggest limitations?
The biggest limitations are: code is for prototypes not production, design system fidelity is uneven, complex business logic hits walls, no real local development, backend is Supabase-only, multi-page flows get inconsistent. Each limitation is acceptable for prototyping but problematic for production work.
Can I ship Figma Make's code to production?
Technically yes, practically no. Make's code is functional but not architected for production scale, maintenance, or testing. Shipping it as production code creates technical debt that compounds quickly. For production, plan to rebuild on a real foundation.
Why doesn't my Figma Make output use my design system?
Without Make kits configured, Make uses generic styling that approximates but doesn't match your real design system. Even with Make kits, fidelity is inconsistent. Set up Make kits carefully and write detailed guidelines for best results.
Can Figma Make handle complex apps?
Make handles standard CRUD operations and simple auth well. Complex business logic — permissions, multi-tenant architecture, branching workflows, complex billing — breaks down quickly. For complex apps, use Make for the UI prototype and conventional development for the business logic.
Is Figma Make worth using despite the limitations?
Yes, for the right use cases. Make is exceptional at: validating ideas fast, building internal tools that don't need production-grade architecture, and creating stakeholder demos. The limitations matter only when you push Make into production engineering territory.
What should I use instead of Figma Make for production code?
The Figma MCP server with Cursor, Claude Code, or Codex. These tools generate code that respects your real codebase architecture and integrate with your existing development workflow.
What should I use instead of Figma Make for full-stack apps?
Lovable handles full-stack complexity better than Make. It ships more complete backend functionality out of the box and has broader stack flexibility.
Will Figma Make's limitations be fixed in future releases?
Some will be addressed. Figma regularly ships improvements. But Make is fundamentally a prototyping tool — many limitations (production-grade code architecture, multi-framework support, complex business logic handling) aren't likely to be solved soon because they're outside the tool's core purpose.
How does Figma Make compare to Lovable, v0, and Cursor?
Make is built into Figma and strongest at design-to-prototype workflows. Lovable handles full-stack better. v0 fits the shadcn ecosystem. Cursor is an IDE that becomes Figma-aware via MCP. Each beats Make at specific things. See Figma Agent vs Figma Make vs Figma MCP for the broader comparison.
Where can I learn more about Figma Make alternatives?
Mantlr publishes honest comparisons and evaluations of the Figma AI ecosystem. See Figma Make vs Lovable, Figma Make vs v0, and other comparison articles at mantlr.com.
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Related articles
If you're evaluating Figma Make for real work, these articles cover the honest picture:
- What Is Figma Make? — The foundational article.
- How to Use Figma Make — Full workflow walkthrough.
- Figma Make vs Lovable — Direct comparison with Make's closest competitor.
- Figma Make vs v0 — Comparison with Vercel's frontend-focused alternative.
- The Complete Guide to Free Design Resources and AI Tools in 2026 — Mantlr's pillar guide to the full resource library.
About Mantlr Editorial
Mantlr is a free directory of designer-vetted, license-verified design resources. We test every resource before listing. No email walls. No paid placements. No affiliate dressing.
This article was written by Mantlr Editorial, the team behind a curated library of 521 free design resources. We work in production design daily and only recommend resources we'd use ourselves.
Last updated: December 12, 2026. Article reviewed quarterly for accuracy.