Design

Summarizing and applying design feedback

AI can summarize comments, cluster feedback themes, model stakeholder perspectives, and turn long review threads into actionable next steps inside the design workflow or directly around the design file.

Why the human is still essential here

Designers must interpret stakeholder context and tradeoffs, prioritize competing feedback, and decide which changes should be implemented and why.

How people use this

Comment thread summaries

AI condenses long frame-level comment chains into a short summary of key issues, decisions, and unresolved questions for the designer.

Figma AI / ChatGPT

Review-to-action plans

AI converts mixed stakeholder feedback into a prioritized action list with next steps, rationale, and follow-up questions for the next iteration.

Notion AI / ChatGPT

Role-based feedback synthesis

AI summarizes how product, engineering, marketing, and legal feedback differ and proposes revision paths that address the biggest conflicts.

Claude / ChatGPT

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Related Prompts (4)

Latest community stories (2)

News
Reddit

The Figma design agent is here

https://www.figma.com/blog/the-figma-agent-is-here/

Looks pretty good, anyone use it yet?


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Claude summary:


Figma's design agent launched today β€” it lives directly on the canvas and in the left rail, no separate setup required.


It's design-system-aware β€” the agent has deep context on your components, tokens, variables, and standards, unlike third-party tools that lack that native access.


Key canvas interactions: start a prompt from any design layer, run parallel prompts to explore multiple ideas simultaneously, and make manual edits while the agent iterates alongside you.


Explore directions faster β€” generate multiple stylistic approaches or information architectures at once; steer outputs by `@`-mentioning specific tokens, variables, or components.


Automate bulk busywork β€” rename variables, swap components across screens, repeat padding changes across flows, populate frames with realistic content, convert screens to dark mode.


Design system maintenance β€” bulk-update descriptions, tags, naming conventions, and auto-document components with all their states and variants.


Works with feedback β€” summarize comments, identify themes, model stakeholder perspectives, distill long comment threads into action plans.


MCP server relationship: the agent is for canvas work; the MCP server + `use_figma` is for moving work between code and Figma.


Currently in beta rollout β€” no credits consumed during beta; AI credits apply at GA. Available for Full seat users on Professional, Organization, and Enterprise plans.

K
kekeagainDesigner
May 20, 2026
News
Blog

The Figma design agent is here

Starting today, work with an agent that is built for Figmaβ€”directly on the canvas.

From exploring new directions to making bulk edits and implementing feedback, here's how Figma's agent will fit into your design workflow today.

RD
Rodrigo Davies and Tammy TaabassumProduct Manager and Product Designer at Figma
May 20, 2026