Figma prototype vs code prototype: when to use which

What each is good at

Teams often argue about this as if one must win. We use both, and the better question is: what are you trying to find out?

A Figma prototype links static screens together. You click a button and jump to the next frame. With some effort you can add transitions, small animations and a few variables. It shows the shape of a flow quickly, and anyone on the team can open it and click through.

A code prototype is a real, working page in a browser, built with HTML, CSS and JavaScript, often in the same framework as your product. It reacts to real input, handles real data, and runs at real speed on a real device.

Questions only code can answer

Some questions cannot be answered with a linked set of pictures. A Figma prototype can fake the answer, but only code can show it.

• How does it feel? Drag and drop, resizing, reordering, scrolling, gestures. The feel depends on timing and physics that a click-through cannot copy.
• How does it handle real data? A table with five tidy rows looks fine in Figma. With 3,000 rows, long names and missing values, it may fall apart. Code lets you try it.
• How does it behave with live input? Search that filters as you type, forms with real validation, an AI answer that streams in at its own pace.
• Is it fast enough? Performance cannot be tested in a design tool.
• How does it work on a real phone? Touch, keyboard pop-ups and small screens behave differently from a preview.
• Does it work with a keyboard and a screen reader? Focus order and labels only exist in real HTML.

AI products are a good example. A streaming answer, a slow response and a failed request are all hard to fake well. When the whole feature is about timing and uncertainty, a code prototype tells you much more.

Questions Figma answers faster

Many questions are cheaper to answer in Figma. Do not write code for these.

• Is this the right flow? Moving boxes around is much faster than rewriting components.
• Does the layout work? You can try five layouts in an afternoon.
• Do stakeholders agree on the direction? A shared link with comments is easier for non-technical people than a running build.
• Do users understand the screens? A simple click-through is often enough for early tests with five people.
• What should we cut? It is easier to remove a frame than a feature that has been built.

Early in a project, when everything is still open, Figma wins. The cost of change is close to zero, and that is what you want when you are still deciding what the product is.

Cost and time

People often say code prototypes are expensive. It depends on who builds them and what already exists.

• If you have no components, a code prototype starts slowly. Every button and input is new.
• If you have a component library, a code prototype can be fast. You assemble screens from parts that already work.
• A Figma prototype of a complex interaction can take surprisingly long, with many frames and variables to fake one behavior that is a few lines of code.

So the rule is not "Figma is cheap, code is costly". A better rule: for a flow, Figma is cheaper. For a behavior, code is often cheaper, as long as the person doing it is comfortable in code.

Be careful about one trap: a code prototype that looks finished. Stakeholders may assume the product is nearly done and ask why it needs another month. Label prototypes clearly, and say what is real and what is fake.

Handoff to engineers

A prototype is not a handoff. This matters for both kinds.

A Figma prototype shows the intended flow. Developers still need the screens, the states, the components and notes on behavior. A good file does that, with names that match the code.

A code prototype gives developers something they can run and read. That is a real advantage. They can see exactly how a transition should feel, and sometimes borrow parts. But the code was written to answer a question, not to run in production. It often skips tests, accessibility, error handling and clean structure. If your engineers copy it straight into the product, you may inherit problems. Treat it as a reference, and rebuild the parts you keep to production standards.

A mixed workflow

This is roughly how we combine them in a project.

1. Map the flow on paper or in Figma. Boxes and arrows, no code.
2. Design the core screens in Figma. Check the structure with the team and a few users using a click-through prototype.
3. Find the risky parts. These are the interactions, data views or AI behaviors where the team cannot agree or does not know if it will work.
4. Build those parts in code. Small, focused prototypes, tested with real or realistic data.
5. Feed the findings back into Figma. Update the designs with what you learned, and write down the behavior.
6. Hand off. Figma file with components and states, plus links to any code prototypes as references.

Most screens never need code. A few do, and those few are usually where the biggest risk sits.

How to choose, per question

When a new question comes up, ask:

• Is it about what and where? Use Figma.
• Is it about how it feels, how fast or what happens with real data? Use code.
• Do you need it in front of non-technical people by tomorrow? Figma.
• Does one person on your team write code and want to try it? Let them. A quick code spike may take an hour.

Our founder designs and writes front-end code, so we are comfortable switching between the two as the question changes. You can see some of what we build in the Lab. In our MVP design sprint, the clickable prototype and the handoff are in Figma. If one risky interaction needs a test in code, we raise it with you early. If you want to see what we do across projects, look at our services, or send us the question you are trying to answer and we will tell you which kind of prototype we would build.