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Article2026

Exploration That Doesn't Waste Engineering Time

Why exploring in code beats Figma. Spend money on the product, not artefacts.

Quentin Ellis4 min read

We love designers. We've worked with some brilliant ones — art directors who see what a brand needs before the brand knows it, UX people who fight for users when everyone else is fighting for features.

This isn't about designers being the problem. It's about the tools we ask them to work in.

The Telephone Game

Product writes a brief. Design interprets it in Figma. Figma gets a click-through prototype. Stakeholders sign off on what looks like a product but is actually a picture of one. Then engineering fills the gaps with their best guesses.

You discover the interaction is wrong when it's expensive to fix.

"You discover the interaction is wrong when it's expensive to fix."

Where the Budget Goes

What percentage of your budget touches the end user?

Add up the hours on briefs, design iterations, Figma prototypes, handoff documentation, tickets describing tickets. Compare that to hours building the thing people actually use.

Designers are essential. But their tooling is wrong. Static comps made sense when code was slow and expensive. That's no longer true.

Explore in FigmaYou're spending money on an artefact that isn't the product.
Explore in CodeYou're spending money on the product itself.

What We've Proved

With the right setup, we go from rough sketches and a solid brief to testing multiple experiments in an afternoon. Real interactions, not click-throughs. Feedback by end of day.

Then we hand engineering near production-ready components. Not sketches to interpret — working code that's most of the way there.

This wasn't possible six weeks ago. AI tooling has changed what "exploration" can deliver. The gap between prototype and production has collapsed.

51
days becomes one
102
people becomes two

Where We Come In

We work best when we're in early. Tissue sessions, not polished decks.

There's no point bringing us a complete Figma. The money's already spent. The assumptions are baked in.

But if you want exploration that compounds — where every hour of discovery reduces hours of delivery — that's where we live.

"

Every hour of discovery reduces hours of delivery.

— The compounding effect

The takeaway: Design exploration in tools that can't become the product is a tax on every feature you ship. AI has made code exploration fast enough to replace static comps. Every experiment is now an investment.