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    Featured articles

  • Jul 10

    The AI Cloud: A unified platform for AI workloads

    For over a decade, Vercel has helped teams develop, preview, and ship everything from static sites to full-stack apps. That mission shaped the Frontend Cloud, now relied on by millions of developers and powering some of the largest sites and apps in the world. Now, AI is changing what and how we build. Interfaces are becoming conversations and workflows are becoming autonomous. We've seen this firsthand while building v0 and working with AI teams like Browserbase and Decagon. The pattern is clear: developers need expanded tools, new infrastructure primitives, and even more protections for their intelligent, agent-powered applications. At Vercel Ship, we introduced the AI Cloud: a unified platform that lets teams build AI features and apps with the right tools to stay flexible, move fast, and be secure, all while focusing on their products, not infrastructure.

    Dan Fein
  • May 20

    Introducing the AI Gateway

    The Vercel AI Gateway is now available for alpha testing. Built on the AI SDK 5 alpha, the Gateway lets you switch between ~100 AI models without needing to manage API keys, rate limits, or provider accounts. The Gateway handles authentication, usage tracking, and in the future, billing. Get started with AI SDK 5 and the Gateway, or continue reading to learn more. Why we’re building the AI Gateway The current speed of AI development is fast and is only getting faster. There's a new state-of-the-art model released almost every week. Frustratingly, this means developers have been locked into a specific provider or model API in their application code. We want to help developers ship fast and keep up with AI progress, without needing 10 different API keys and provider accounts. Prod...

    Walter and Lars
  • Jun 25

    Introducing Active CPU pricing for Fluid compute

    Fluid compute exists for a new class of workloads. I/O bound backends like AI inference, agents, MCP servers, and anything that needs to scale instantly, but often remains idle between operations. These workloads do not follow traditional, quick request-response patterns. They’re long-running, unpredictable, and use cloud resources in new ways. Fluid quickly became the default compute model on Vercel, helping teams cut costs by up to 85% through optimizations like in-function concurrency. Today, we’re taking the efficiency and cost savings further with a new pricing model: you pay CPU rates only when your code is actively using CPU.

    Dan and Mariano

    Latest news.

  • General
    Jul 25

    Model Context Protocol (MCP) explained: An FAQ

    Model Context Protocol (MCP) is a new spec that helps standardize the way large language models (LLMs) access data and systems, extending what they can do beyond their training data. It standardizes how developers expose data sources, tools, and context to models and agents, enabling safe, predictable interactions and acting as a universal connector between AI and applications. Instead of building custom integrations for every AI platform, developers can create an MCP server once and use it everywhere.

    Dan and Andrew
  • Company News
    Jul 25

    Vercel and Solara6 partner to build better ecommerce experiences

    Vercel is partnering with Solara6, a digital agency known for building high-performing ecommerce experiences for customers like Kate Spade, Coach, and Mattress Firm. Their work emphasizes AI-powered efficiencies, fast iteration cycles, and user experience, while prioritizing measurable outcomes. Solara6 customers see improvements in their developer velocity, operational costs, page load times, conversion rates, and organic traffic.

    Grace Roehl
  • v0
    Jul 23

    Build your own AI app builder with the v0 Platform API

    The v0 Platform API is a text-to-app API that gives developers direct access to the same infrastructure powering v0.dev. Currently in beta, the platform API exposes a composable interface for developers to automate building web apps, integrate code generation into existing features, and build new products on top of LLM-generated UIs.

    Chris and Peri
  • General
    Jul 17

    Grep a million GitHub repositories via MCP

    Grep now supports the Model Context Protocol (MCP), enabling AI apps to query a million public GitHub repositories using a standard interface. Whether you're building in Cursor, using Claude, or integrating your own agent, Grep can now serve as a searchable code index over HTTP.

    Dan and Andrew
  • General
    Jul 10

    The AI Cloud: A unified platform for AI workloads

    For over a decade, Vercel has helped teams develop, preview, and ship everything from static sites to full-stack apps. That mission shaped the Frontend Cloud, now relied on by millions of developers and powering some of the largest sites and apps in the world. Now, AI is changing what and how we build. Interfaces are becoming conversations and workflows are becoming autonomous. We've seen this firsthand while building v0 and working with AI teams like Browserbase and Decagon. The pattern is clear: developers need expanded tools, new infrastructure primitives, and even more protections for their intelligent, agent-powered applications. At Vercel Ship, we introduced the AI Cloud: a unified platform that lets teams build AI features and apps with the right tools to stay flexible, move fast, and be secure, all while focusing on their products, not infrastructure.

    Dan Fein
  • Company News
    Jul 8

    NuxtLabs joins Vercel

    NuxtLabs, creators and stewards of Nitro and Nuxt, are joining Vercel.

    Guillermo Rauch
  • Company News
    Jun 26

    Vercel Ship 2025 recap

    My first week at Vercel coincided with something extraordinary: Vercel Ship 2025. Vercel Ship 2025 showcased better building blocks for the future of app development. AI has made this more important than ever. Over 1,200 people gathered in NYC for our third annual event, to hear the latest updates in AI, compute, security, and more.

    Keith Messick
  • General
    Jun 25

    ​Introducing BotID, invisible bot filtering for critical routes

    Modern sophisticated bots don’t look like bots. They execute JavaScript, solve CAPTCHAs, and navigate interfaces like real users. Tools like Playwright and Puppeteer can script human-like behavior from page load to form submission. Traditional defenses like checking headers or rate limits aren't enough. Bots that blend in by design are hard to detect and expensive to ignore. Enter BotID: A new layer of protection on Vercel. Think of it as an invisible CAPTCHA to stop browser automation before it reaches your backend. It’s built to protect critical routes where automated abuse has real cost such as checkouts, logins, signups, APIs, or actions that trigger expensive backend operations like LLM-powered endpoints.

    +2
    Jen, Andrew, and 2 others
  • General
    Jun 25

    Introducing Active CPU pricing for Fluid compute

    Fluid compute exists for a new class of workloads. I/O bound backends like AI inference, agents, MCP servers, and anything that needs to scale instantly, but often remains idle between operations. These workloads do not follow traditional, quick request-response patterns. They’re long-running, unpredictable, and use cloud resources in new ways. Fluid quickly became the default compute model on Vercel, helping teams cut costs by up to 85% through optimizations like in-function concurrency. Today, we’re taking the efficiency and cost savings further with a new pricing model: you pay CPU rates only when your code is actively using CPU.

    Dan and Mariano
  • Company News
    Jun 24

    WPP and Vercel: Bringing AI to the creative process

    Today, we're announcing an expansion of our partnership with WPP. A first-of-its-kind agency collaboration that now brings v0 and AI SDK directly to WPP's global network of creative teams and their clients.

    Jen Chang
  • General
    Jun 23

    Keith Messick joins Vercel as CMO

    Vercel is evolving to meet the expanding potential of AI while staying grounded in the principles that brought us here. We're extending from frontend to full stack, deepening our enterprise capabilities, and powering the next generation of AI applications, including integrating AI into our own developer tools. Today, we’re welcoming Keith Messick as our first Chief Marketing Officer to support this growth and (as always) amplify the voice of the developer.

    Jeanne Grosser
  • Customers
    Jun 16

    Tray.ai cut build times from a day to minutes with Vercel

    Tray.ai is a composable AI integration and automation platform that enterprises use to build smart, secure AI agents at scale. To modernize their marketing site, they partnered with Roboto Studio to migrate off their legacy solution and outdated version of Next.js. The goal: simplify the architecture, consolidate siloed repos, and bring content and form management into one unified system. After moving to Vercel, builds went from a full day to just two minutes.

    Peri Langlois

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