In our previous blog post, we introduced Hive as Vercel’s low-level compute platform, powering all of our builds. However, some builds come with unique security requirements. For these, Hive integrates seamlessly with Vercel's Secure Compute, which enables teams to securely connect with their backends through private connections without compromising performance. Since moving Secure Compute to Hive, provisioning times have dropped from 90 seconds to 5 seconds and build performance has improved by an average of 30%, delivering both speed and reliability for even the most sensitive workloads.

The AI SDK is an open-source toolkit for building AI applications with JavaScript and TypeScript. Its unified provider API allows you to use any language model and enables powerful UI integrations into leading web frameworks such as Next.js and Svelte.

Hive is Vercel’s low-level untrusted and ephemeral compute platform—designed to give us the control needed to securely and efficiently manage and run builds. Since November 2023, Hive has powered Vercel’s builds, enabling key improvements like enhanced build machines and a 30% improvement in build performance. The platform operates on the fundamental assumption that we’re executing potentially malicious code on multi-tenant machines, requiring it to be safe, reliable, performant, and cost-effective. It’s architected to handle multiple use cases and can be composed in different ways depending on what’s needed. Most recently, Hive allowed us to reduce provisioning times for Secure Compute customers from 90 seconds to 5 seconds, while also improving their build speeds. We built Hive because we needed finer control and more granular management to continuously improve Vercel’s infrastructure, to meet the growing demands of our customers and to fulfill our vision of delivering the best development experience in the world.

v0 is a powerful tool for generating high-quality UIs and code, and it's also an educational asset for designing and creating on the web. It leverages deep integrations with libraries and modern frameworks like Next.js and React. Whether you're looking to scaffold a new project, fetch data, or create 3D graphics, v0 is designed to meet all your frontend development needs. To get the highest quality generations, you need to be able to craft input prompts to guide v0 well. The better you guide v0 and understand its strengths, the more accurate and relevant the responses you'll get. In this post, we’ll look at how you can get the most out of v0’s core features, UI generation abilities, code generation, and developer support.

Vercel's main website, once a single large Next.js application, serves both our website visitors and logged-in dashboard. But, as Vercel grew, this setup revealed opportunities for improvement. Build times grew, dependency management became more intricate, and workflows needed optimization. Minor changes triggered full builds, affecting isolated development and CI pipelines. It was clear a change was needed.

AI changes how we build software. In combination with developers, it creates a positive feedback loop where we can achieve better results faster. However, traditional testing methods don't work well with AI's unpredictable nature. As we've been building AI products at Vercel, including v0, we've needed a new approach: eval-driven development. This article explores the ins and outs of evals and their positive impact on AI-native development.

React Three Fiber (R3F) is a powerful React renderer for three.js that simplifies building 3D graphics using React's component-based architecture. Whether you're building complex environments, animations, or interactive scenes, R3F makes it accessible—even if you're not an expert at math or physics. With R3F support in v0, our AI-powered development assistant, you can incorporate 3D designs in your projects by chatting with v0 using natural language. Let's explore how to use v0 and R3F to create interactive 3D scenes to elevate your web designs.

The AI SDK is an open-source toolkit for building AI applications with JavaScript and TypeScript. Its unified provider API allows you to use any language model and enables powerful UI integrations into leading web frameworks such as Next.js and Svelte.

Hello! I’m Aryan. I am currently a student at UC Berkeley, studying Electrical Engineering and Computer Science (EECS). This summer, I had the opportunity to be an intern at Vercel. It’s been an unforgettable experience. As my internship comes to a close and I head back to school, I want to share a behind-the-scenes look at what an internship at Vercel is like.

Recently, there was an issue affecting our customers when trying to purchase a domain containing non-English characters. This problem became apparent when these domain purchases consistently failed, creating a significant roadblock for users wanting to expand their online presence with internationalized domain names (IDNs).

On August 7, 2024, Vercel's Edge Middleware and Edge Functions experienced a significant outage affecting many customers. We sincerely apologize for the service disruption. Vercel’s platform is designed to minimize the risk of global downtime. As standard practice, we use staggered rollouts for both code and configuration changes. Every aspect of our infrastructure is designed to gracefully fail over to the next available region in the event of an incident, and ensures no single point of failure across infrastructure components. However, on Wednesday, an upstream provider for a subset of our compute infrastructure went into a globally erroneous configuration state. This event tested our infrastructure's resilience and how we respond to a global provider failure. Let’s break down what happened, how we responded, and the steps we’re taking to eliminate this as a possible failure mode.

The Vercel AI SDK is a toolkit for building AI applications with JavaScript and TypeScript. Its unified API allows you to use any language model and provides powerful UI integrations into leading web frameworks such as Next.js and Svelte.