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# How Coinbase used Code Connect to guide agents and shrink token costs

**[Figma](https://daily.dev/sources/figma)** · 7 min read · 2 upvotes · 0 comments

## Summary

Coinbase's Design System (CDS) team used Figma's Code Connect feature within Figma's MCP server to give coding agents production-component context when converting designs to code. After modernizing Code Connect mappings for hundreds of components (done in about four hours using a Claude Code agentic workflow), they ran a controlled evaluation using the same design, prompt, and Sonnet 4.6 model across three runs with and without Code Connect. Results showed Code Connect reduced token usage by 11.5%, implementation time by 22.3%, and cost by 22.5%, while also improving component selection accuracy and eliminating agent hallucination of icon/illustration names. The team distinguishes Code Connect's role (providing context) from CDS agent skills' role (shaping implementation decisions like avoiding deprecated components).

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.figma.com/blog/how-coinbase-used-code-connect-to-shrink-token-costs>

## Questions this post answers

### How much does Figma Code Connect reduce token usage and cost when AI agents convert designs to code?

Coinbase's Design System team measured an average 11.5% reduction in token usage, 22.3% reduction in time to implementation, and 22.5% reduction in cost when using Code Connect versus not, across three controlled test runs using the same design, prompt, and Sonnet 4.6 model. Component selection accuracy also improved, and icon-name hallucination issues disappeared entirely.

_Teams weighing AI coding agent context strategies can track real-world benchmarks like this one on daily.dev._

### What problem does Figma Code Connect solve for AI coding agents converting designs into code?

Code Connect gives coding agents context about a team's actual production components when converting a Figma design into code, so agents choose the correct existing component instead of building one from scratch with primitives. Coinbase's team found this fixed recurring issues like agents building a custom Stepper component from two progress bars, or hallucinating icon and illustration names.

_Engineers refining agentic design-to-code workflows can follow practical case studies like this on daily.dev._

## Similar posts on daily.dev

- [Better code, fewer tokens: The benefits of Code Connect in MCP](https://daily.dev/posts/better-code-fewer-tokens-the-benefits-of-code-connect-in-mcp-a99y4bth1) · Figma · 2 upvotes · 0 comments
- [Figma Design to Code, Code to Design: Clearly Explained](https://daily.dev/posts/figma-design-to-code-code-to-design-clearly-explained-u3nuveewv) · ByteByteGo · 2 upvotes · 0 comments
- [Blog: From Figma to Production Code: How The Figma MCP Changes the Role of Frontend Engineering](https://daily.dev/posts/blog-from-figma-to-production-code-how-the-figma-mcp-changes-the-role-of-frontend-engineering-ggfzgf2ew) · Wawandco · 2 upvotes · 0 comments

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#figma](https://daily.dev/tags/figma), [#design-systems](https://daily.dev/tags/design-systems)

[View this post on daily.dev](https://daily.dev/posts/how-coinbase-used-code-connect-to-guide-agents-and-shrink-token-costs-bzlyvzsxx)

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