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Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0 Use Perplexity Web Search with Vercel AI Gateway Introducing: React Best Practices Nick Bogaty joins Vercel as Chief Revenue Officer How Mux shipped durable video workflows with their @mux/ai SDK How to build agents with filesystems and bash How we made v0 an effective coding agent Stopping the slow death of internal tools Building AI-Generated Pixel Trading Cards with Vercel AI Gateway We removed 80% of our agent’s tools AI SDK 6 Our $1 million hacker challenge for React2Shell Cline now runs on Vercel AI Gateway How to prompt v0 Build smarter workflows with Notion and v0 Vercel launches partner certification Inside Workflow DevKit: How framework integrations work React2Shell Security Bulletin | Vercel Knowledge Base Billions of requests: Black Friday-Cyber Monday 2025 Investing in the Python ecosystem AWS Databases coming to the Vercel Marketplace How we built the v0 iOS app Workflow Builder: Build your own workflow automation platform Vercel Open Source Program: Fall 2025 cohort Self-driving infrastructure Vercel collaborates with Google for Gemini 3 Pro Preview launch Vercel: The anti-vendor-lock-in cloud How Nous Research used BotID to block automated abuse at scale How AI Gateway runs on Fluid compute What we learned building agents at Vercel Build and deploy data applications on Snowflake with v0 BotID Deep Analysis catches a sophisticated bot network in real-time Vercel achieves TISAX AL2 compliance to serve automotive partners Bun runtime on Vercel Functions David Totten Joins Vercel to Lead Global Field Engineering Vercel Ship AI 2025 recap You can just ship agents AI agents and services on the Vercel Marketplace Built-in durability: Introducing Workflow Development Kit Zero-config backends on Vercel AI Cloud Introducing Vercel Agent: Your new Vercel teammate Update regarding Vercel service disruption on October 20, 2025 Agents at work, a partnership with Salesforce and Slack Running Next.js in ChatGPT: How to Build ChatGPT Apps Talha Tariq joins Vercel as CTO of Security Just another (Black) Friday Server rendering benchmarks: Fluid Compute and Cloudflare Workers Towards the AI Cloud: Our Series F Collaborating with Anthropic on Claude Sonnet 4.5 to power intelligent coding agents Preventing the stampede: Request collapsing in the Vercel CDN BotID uncovers hidden SEO poisoning How we made global routing faster with Bloom filters What you need to know about vibe coding Scale to one: How Fluid solves cold starts Addressing security & quality issues with MCP tools - Vercel AI agents at scale: Rox’s Vercel-powered revenue operating system Agentic Infrastructure Zero Data Retention on AI Gateway Optimizing Vercel Sandbox snapshots How Waldium made a blog platform work for humans and AI alike How FLORA shipped a creative agent on Vercel's AI stack Agent responsibly Making Turborepo 96% faster with agents, sandboxes, and humans Unified reporting for all AI Gateway usage new.website joins forces with v0 SERHANT.'s playbook for rapid AI iteration Two startups at global scale without DevOps Chat SDK brings agents to your users 360 billion tokens, 3 million customers, 6 engineers Meet the 2026 Vercel AI Accelerator Cohort Build knowledge agents without embeddings
Vercel Flags: Platform-native feature flags
Malavika Tadeusz · 2026-06-22 · via Vercel News

At Vercel, feature flags are how we ship. From new features to model updates in v0, and even infrastructure changes like a production database migration where a flag was the cutover. The v0 team alone runs hundreds at any given moment.

Merging code sends a build to production, but the feature flags control whether users can see what changed. Flags let you ship on your own schedule, release to segments when you're ready, and roll back by immediately by toggling a flag, without touching source files or redeploying.

Vercel Flags is platform-native: server-side by default, zero impact on page performance, and directly integrated with the frameworks you already use.

Link to headingWhat is Vercel Flags

Vercel Flags lets you create feature flags, define targeting rules by user attributes, segments, or environment, run progressive rollouts, and flip kill switches if something breaks in production.

From your code, you read flags through Flags SDK, an open-source, provider-agnostic library we maintain with first-class adapters for Next.js and SvelteKit. If you are using another framework, you can consume Vercel Flags using the built-in OpenFeature provider.

The Vercel Flags dashboard sits alongside your project and deployments, where you can create and manage flags.

The Vercel Flags dashboard showing a list of active feature flags with their current values and types across Production, Preview, and Development environmentsThe Vercel Flags dashboard showing a list of active feature flags with their current values and types across Production, Preview, and Development environments

Active flags across environments, each with their current value and type.

But what makes Vercel Flags different from other flag services is the framework integration.

Link to headingWhy framework-native matters

Other flag providers give you a generic SDK to wire through your framework yourself, and a separate dashboard to manage flags in. Vercel Flags is built into the Vercel platform, so you manage flags in the same dashboard as your deployments, and your code reads them through the framework-native Flags SDK.

Link to headingServer-side evaluation

When a flag is evaluated on the client, users see a loader, a flicker, or a layout shift. The browser can't render the correct view until the flag value comes back. The Flags SDK evaluates on the server instead. With Next.js React Server Components, you read the flag with await during render. The correct view is determined server-side and the browser renders it directly, with no separate flag request. That value comes from Vercel Flags, where a configuration change propagates to every region within milliseconds.

import { showNewFeature } from "@/flags"

export default async function Page() {

const isEnabled = await showNewFeature()

return isEnabled ? <NewDashboard /> : <OldDashboard />

}

Reading the flag server-side in a route. The user receives the correct variant before the page paints.

For advanced cases, you can pass the flag as a promise to a client component rather than awaiting it. This lets the page start rendering before the flag value arrives, with the component showing a fallback in the meantime. The flag still resolves on the server, so there is no browser-side request for it.

Link to headingAutomatic flag registration

Vercel Flags registers flags automatically. Define one in code, deploy, and it appears in the dashboard as a draft. Promote the draft when you're ready to configure targeting and roll out. Remove the flag from your code and the dashboard marks it as unreferenced, so you always know what's safe to archive. The flags you write are the flags you manage, with no separate list to keep in sync by hand.

import { flag } from "flags/next"

import { vercelAdapter } from "@flags-sdk/vercel"

export const showNewFeature = flag({

key: "show-new-feature",

adapter: vercelAdapter()

})

Defining a flag with the Flags SDK and the Vercel adapter.

Link to headingPrecompute

Static pages are fast and consistent because they are served from the CDN regions closest to you and your users. But adding a flag makes a page dynamic. Either you render server-side and lose CDN delivery, or you fetch the flag client-side and get layout shift back. However, Flags SDK comes with an optional, advanced pattern that solves this. Precompute lets you build all variants at build time, distribute them through the CDN, and have Routing Middleware (the proxy.ts file in Next.js) route each user to the right one. Every page stays static and loads with no layout shift.

Note: Precompute is an advanced but powerful pattern. Read the docs to learn more.

Link to headingAgent-native flag management

The vercel flags CLI exposes the same flag management from your terminal, so you and your coding agents can create flags, configure targeting, run rollouts, and archive them.

Link to headingOverriding flags in the browser

Flags Explorer, built into the Vercel Toolbar, lets you override any flag in your browser session to test a variant. The shared configuration stays untouched and you do not redeploy.

Link to headingVercel ships on Vercel Flags

While we made Vercel Flags generally available in April 2026, we've been using it internally for over a year. The v0 team is a good example of what this looks like at scale, with hundreds of flags active at any given moment.

Here are some examples of what teams put behind flags:

  • New features under development

  • AI model routing per user or segment

  • Operational kill switches

  • Database migrations and provider swaps

  • Beta access for early customers or internal teams

For a product like v0, any added latency degrades the end-user experience. Because Vercel Flags evaluates server-side, the team gets feature flagging without the additional round trip that client-side flag evaluation adds.

Because every new feature is built behind a flag, developers can merge to main continuously without releasing unfinished work. There are no long-lived branches and no painful merge conflicts to resolve. Deploying code and releasing a feature become two separate decisions.

A release moves through a controlled progression. The developer who built the feature sees it first, then the internal team. After that, the flag steps up through 5%, 10%, 25%, and 50% of users for six hours each, before going to everyone. If something goes wrong at any stage, the team can kill the feature without making a code change or redeploying.

Flags also control v0's AI model traffic, shifting gradually when a new model launches rather than cutting over all at once.

v0 even ran a production database migration with a flag. We kept the old and new databases in sync, and the flag controlled which database was in use. Flipping the flag was the cutover itself. We rehearsed it in staging repeatedly, then ran it in production without degrading traffic. The flag turned a high-stakes infrastructure change into something the team could practice, schedule, and ship with confidence.

Link to headingGet started

Once shipping code and releasing a feature are separate stages, you can start to just ship things with a level of confidence that you couldn't get from PRs alone.

Vercel Flags is available on every plan. The vercel flags CLI allows you and your agents to create, inspect, manage rollouts, and archive flags from anywhere.

Read the Vercel Flags documentation to get started, or ask your agent for help with the Flags SDK skill.