Figma deepens design-to-code push with Bud team acquisition

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TL;DR:

Figma acquired Bud’s AI app-building team, but Bud and Orchids will shut on July 18. Users must export and redeploy projects, while the deal strengthens Figma’s push to connect design, code and AI-driven software creation.

Article:

Figma has acquired the team behind Bud, formerly Orchids, and will shut both AI app-building services on July 18, 2026. Users must download projects or move them to GitHub and redeploy elsewhere before the deadline. Financial terms were not disclosed.

The timing fits Figma’s effort to expand its collaborative design platform into a broader AI product-development stack. It already offers Figma Make, a prompt-to-app tool, and has strengthened connections between design files and coding environments. Adding Bud’s team brings engineers experienced in AI-generated apps and agents, although Figma has not detailed their future roles.

The acquisition also exposes the cost of consolidation in the fast-moving AI coding market. Bud’s technology may continue inside a larger platform, but standalone users received an 11-day migration window from the July 7 announcement. The company warned that hosted projects “will no longer remain deployed” after July 18.

For Figma, the commercial logic is clear. First-quarter 2026 revenue rose 46% year over year to $333.4 million, while approximately 60% of customers spending more than $100,000 annually used Figma Make every week. Chief Financial Officer Praveer Melwani cited “promising early traction on AI monetization.”

The immediate priority is operational: Bud and Orchids customers should export code, verify dependencies, move repositories to GitHub or local storage, and test a new hosting provider before the cutoff. Teams should also preserve environment variables, deployment settings and documentation that may not travel with source files.

The longer-term test is whether Figma can integrate Bud’s app-building expertise without reproducing the abrupt product-continuity risk now facing developers. Its design-to-code strategy is stronger, but customer trust will depend on migration support as much as AI capability.