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Bringing AI in at Figma

Trace sandbox failures while designers wait on generated assets

You’re the software engineer. Your team is in the room. Printed Oct 21, 2026.

Sandbox failures leave engineers choosing between fast clues and defensible causes.

Designer continuity depends on quick recovery, while production safety depends on evidence an engineer can verify.

Who you’d be doing this for

“I reran the same asset twice, and now everyone wants to know which version is safe to use.”

Katarina Dvorak · UI/UX Designer

Uses generated assets in shared product-design workflows and is blocked when an agent sandbox stalls.

What is at stake

Repeated sandbox failures leave designers retrying asset workflows while engineers reconstruct causes across layers. You must decide what AI assembles, what engineers verify, and how the team runs it after handover.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • faster diagnosis vs. engineer-verifiable evidence
  • sandbox continuity vs. production safety
  • broad retrieval vs. file-context boundaries
  • known-pattern rules vs. cross-layer reasoning

Why Figma

Figma Weave depends on agent sandboxes and gateway integrations staying reliable while designers generate and publish creative assets.

Written with these in mind

embedded AI systems builderproduction-minded forward deployed engineerhuman-in-the-loop workflow designer

Not your kind of problem? 51 more at Figma, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.