What challenges did Vercel face before AI implementation?

Building products manually is time consuming. Slow web experiences can lead to lost sales and damaged customer relationships. Developers need faster ways to build AI-powered applications and agentic experiences.

What was the impact of the AI solution?

Since launch, Vercel has seen 25 million UIs generated using v0. Customers experienced up to a 95% reduction in page load times. Developers experienced up to 24x faster builds. The solution improved developer productivity and user experience at scale.

Source

Scaled productionEvidence: Medium65/100

Vercel scales agentic UI development with Amazon Bedrock and AI SDK

Use case typeCode assistantUpdated Jun 13, 2026

Vercel is a developer platform for building dynamic websites and AI-powered products, and its AI SDK is integrated with Amazon Bedrock. The v0 assistant lets users generate code and UI components from natural-language prompts, helping developers and designers build full-stack applications faster. Vercel built v0 on top of its AI SDK to provide a chat interface, agentic execution primitives, and type-safe message/tool handling for AI applications. The platform scales inference on Amazon Bedrock and uses AWS Lambda alongside Vercel edge capabilities to support low-latency execution and global response times. The article reports broad adoption of v0 and significant productivity and performance gains for customers and developers.

Organization: Vercel
Industry: Tech & Comms
Location: United States
Published: May 2026

Reported outcomes

−95%

timeTime & speed

24xtime

Strategic outcomes

New product / capabilityBuilt chat-based code and UI generatorSpeed & agilityEnabled faster AI application developmentCustomer experience & trustImproved page load performanceScale & capacityScaled UI generation adoption

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 95% decrease

AWS Solutions Case StudyMay 27, 2026Case studyInferred claimMedium evidence strength

Customers experienced up to a 95% reduction in page load times.

Normalized claim

Time: 24 x increase

AWS Solutions Case StudyMay 27, 2026Case studyInferred claimMedium evidence strength

Developers experienced up to 24x faster builds.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Vercel
Provider: AWS
Maturity: Scaled Production
Linked source: AWS Solutions Case Study

The solution improved developer productivity and user experience at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Developer Tools
2Application Generation
3Agentic AI

Building products manually is time consuming.
Slow web experiences can lead to lost sales and damaged customer relationships.
Developers need faster ways to build AI-powered applications and agentic experiences.

Integrated Vercel AI SDK with Amazon Bedrock through the @ai-sdk/amazon-bedrock provider package.
Built v0 as a chat-based assistant that generates code and UI components from natural-language prompts.
Used built-in agentic systems and type-safe message/tool primitives to control execution flow and context.
Scaled v0 inference on Amazon Bedrock and used AWS Lambda for deep processing and server-side execution.
Combined AWS backend primitives with Vercel edge delivery for low latency.
Planned future integration with Amazon Bedrock AgentCore.

Technologies

Amazon Bedrock AWS Lambda AI SDK Amazon Bedrock AgentCore

Since launch, Vercel has seen 25 million UIs generated using v0.
Customers experienced up to a 95% reduction in page load times.
Developers experienced up to 24x faster builds.
The solution improved developer productivity and user experience at scale.

Architecture

Vercel built the v0 assistant on its AI SDK, which integrates with Amazon Bedrock through the @ai-sdk/amazon-bedrock provider package. The assistant uses agentic execution primitives, type-safe message/tool handling, and a chat interface to generate UI/code from prompts. Vercel scales inference on Amazon Bedrock and uses AWS Lambda for server-side processing, while Vercel edge functions handle latency-sensitive requests. The article also notes future integration with Amazon Bedrock AgentCore.

Sources & evidence1

Evidence: Medium65/100Evidence strength