By Mehdi HassanDesign teams tend to prototype in Figma because that's where the design lives. Engineering teams tend to prototype in code because that's what they trust. Both are right some of the time. We design in Figma and build in Next.js, so we don't have a tool to defend. The useful question isn't which is better, but which one can honestly answer the question you have right now.
Should you prototype in Figma or in code?
Prototype in Figma when you need to explore and compare options quickly, and prototype in code when the answer depends on how the product really behaves. Figma is a design tool with prototyping features; code is the real medium. The more your question depends on the real medium, the more code pays off.
That framing comes straight from good product prototyping practice: start with the question, then choose the cheapest prototype that answers it. Fidelity is not a quality level, it's a cost you pay only where the question needs it.
Figma prototype vs code prototype: how do they compare?
Figma prototypes are faster to make and change, while code prototypes are more realistic and can reuse into production. The table compares them on the factors that usually decide it.
Factor | Figma prototype | Code prototype |
|---|---|---|
Speed to first version | Fast | Slower, faster with AI tools and a component library |
Exploring many directions | Excellent | Costly |
Realistic data and volume | Faked | Real or realistic |
Performance and latency | Not shown | Shown honestly |
AI and model output | Scripted, ideal answers | Real output, including failures |
Complex interaction (drag, canvas, typing) | Approximated | Real |
Sharing for usability tests | Easy link | Needs hosting, usually easy on Vercel or similar |
Reuse in production | As a spec | Possible if built with real components |
Skills needed | Designer | Designer who codes, or designer plus engineer |
Which questions is a Figma prototype best for?
A Figma prototype is best for questions about structure, flow, comprehension and visual direction, where the content can be realistic and the behavior can be faked without misleading anyone. It's the right default early in a project.
- Does the flow make sense? Click-throughs of onboarding, checkout or setup flows test order and clarity well.
- Which visual direction fits? Comparing several directions side by side is fast in Figma and slow in code.
- Do users understand the copy? Real headlines and labels in a simple prototype reveal comprehension problems.
- Does it look trustworthy? Brand and polish questions need high visual fidelity, which Figma handles well.
- Will stakeholders agree? A clickable direction is easier to align around than a written spec.
Figma has also added tools that push closer to code, including AI generation and Dev Mode. Our comparison of Figma to code with AI covers where those help and where they stop.
Which questions need a code prototype?
A code prototype is needed when the honest answer depends on real data, real timing, real input or real model output. In those cases, a Figma prototype doesn't just fall short, it actively misleads, because it always works perfectly.
- AI features. Model answers vary and take time. A prototype with scripted perfect answers can't test trust or usefulness. Our guide to prototyping AI features compares Wizard of Oz, fake doors and real models.
- Data-dense screens. Tables, filters and dashboards need real volume, long values and empty fields to reveal problems.
- Search and filtering. Relevance and speed are the experience.
- Rich input. Editors, canvases, drag and drop and keyboard-heavy tools depend on feel.
- Feasibility. If you're unsure something can run fast enough, only code tells you.
Has AI made code prototypes cheaper than Figma?
AI app builders and coding assistants have made a first code prototype much cheaper to start, but not cheaper to get right. You can generate a working screen from a prompt quickly; making it match a considered design and behave well on the edge cases still takes skill.
That shifts the trade-off. For simple flows, an AI-generated code prototype can now be as fast as a Figma one, with the bonus of real behavior. For brand-sensitive or highly crafted work, Figma is still faster to iterate visually. And AI-built prototypes come with the risk of becoming production by accident. If that's already happened to you, see our guide to rescuing a vibe-coded app.
For example, suppose a team prototypes a reporting dashboard both ways
Hypothetical example: a B2B analytics startup needs a new reporting dashboard. In Figma, the team explores three layouts in a few hours and agrees on one quickly. Every chart has tidy sample data and every label fits.
The team then builds the chosen layout in code against a real customer dataset. Long account names break the table, one chart becomes unreadable with hundreds of series, and an empty state is needed for new accounts with no data yet. None of these would have shown up in Figma. The right answer was both: Figma to choose the direction, code to prove it.
What's the best sequence: Figma first, then code?
For most products, the best sequence is to explore and choose in Figma, then prove the riskiest part in code before full build. This uses each tool where it's strongest and keeps the expensive part narrow.
Explore in Figma
Write the copy, explore a few directions and test the flow with a clickable prototype. Pick one direction.
Name the risky part
Identify the screen or interaction where real data, timing or AI output could break the design.
Prove it in code
Build only that part with real or realistic data and real components. Keep the rest as Figma screens.
Update the design
Feed what the code prototype revealed back into the Figma file, including new states.
Build for production
Build from the updated design, reusing the code prototype only if it was built to production standards.
When the design and the code share tokens and components, this loop gets much faster. Our guide to Figma to Next.js covers how to make the handoff from file to production code clean.
Who should build each kind of prototype?
Figma prototypes are built by designers; code prototypes are best built by designers who code or by a designer and engineer working side by side. The gap between the two is where prototypes lose value, because each side reinterprets the other.
A team fluent in both can switch tools mid-question, which is often what's needed. If your team is design-only or engineering-only, pair up for the code prototype rather than handing a Figma file over a wall. For a ranked view of the tools themselves, see best prototyping tools.
