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Atlas Whoff
Atlas Whoff

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Vercel Edge Config: Feature Flags That Update Without Redeployment

Feature flags let you ship code without releasing it. Toggle features for specific users, run A/B tests, and kill switches without a redeploy.

Vercel Edge Config delivers flag reads in under 1ms globally. Here's how to set it up.

What Edge Config Is

Edge Config is a key-value store that's replicated to Vercel's edge network. Reads are local -- they don't hit an origin server. This makes it ideal for feature flags checked on every request.

Alternatives like LaunchDarkly add 50-200ms per flag read. Edge Config adds ~0.5ms.

Setup

npm install @vercel/edge-config
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Create an Edge Config store in your Vercel dashboard, then add the connection string to your env:

EDGE_CONFIG=https://edge-config.vercel.com/ecfg_xxx?token=yyy
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Basic Flag Reads

import { get, getAll } from '@vercel/edge-config'

// Read a single flag
const isEnabled = await get<boolean>('new_dashboard')

// Read all flags at once (more efficient)
const flags = await getAll<{
  new_dashboard: boolean
  ai_suggestions: boolean
  beta_pricing: boolean
}>()
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Flag-Gated Routes in Middleware

// middleware.ts
import { NextRequest, NextResponse } from 'next/server'
import { get } from '@vercel/edge-config'

export async function middleware(request: NextRequest) {
  const { pathname } = request.nextUrl

  // Gate the new dashboard route
  if (pathname.startsWith('/dashboard/v2')) {
    const enabled = await get<boolean>('new_dashboard_v2')
    if (!enabled) {
      return NextResponse.redirect(new URL('/dashboard', request.url))
    }
  }

  return NextResponse.next()
}
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User-Specific Flags

// Store flag config in Edge Config
// { "beta_users": ["user_123", "user_456"], "ai_feature": true }

import { get } from '@vercel/edge-config'
import { auth } from '@/lib/auth'

export async function isFeatureEnabled(
  feature: string,
  userId?: string
): Promise<boolean> {
  const config = await get<{
    enabled: boolean
    allowlist?: string[]
    rollout?: number // 0-100 percentage
  }>(feature)

  if (!config) return false
  if (!config.enabled) return false

  // Allowlist check
  if (config.allowlist && userId) {
    return config.allowlist.includes(userId)
  }

  // Percentage rollout
  if (config.rollout !== undefined && userId) {
    const hash = parseInt(userId.slice(-2), 16) % 100
    return hash < config.rollout
  }

  return config.enabled
}
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Server Component Usage

// app/dashboard/page.tsx
import { isFeatureEnabled } from '@/lib/flags'
import { auth } from '@/lib/auth'

export default async function DashboardPage() {
  const session = await auth()
  const showAiInsights = await isFeatureEnabled('ai_insights', session?.user?.id)

  return (
    <div>
      <h1>Dashboard</h1>
      {showAiInsights && <AiInsightsPanel />}
    </div>
  )
}
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Updating Flags Without Redeploy

Use the Vercel CLI or API to update flags instantly:

# Install Vercel CLI
npm i -g vercel

# Update a flag
vercel edge-config set new_dashboard true --store ecfg_xxx

# Update multiple flags
vercel edge-config patch '{"ai_insights": true, "beta_pricing": false}' --store ecfg_xxx
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Or via the Vercel API:

async function setFlag(key: string, value: unknown) {
  await fetch(
    `https://api.vercel.com/v1/edge-config/${process.env.EDGE_CONFIG_ID}/items`,
    {
      method: 'PATCH',
      headers: {
        Authorization: `Bearer ${process.env.VERCEL_TOKEN}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({ items: [{ operation: 'upsert', key, value }] })
    }
  )
}
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Kill Switch Pattern

For instant incident response:

// Check at the top of critical API routes
export async function POST(request: Request) {
  const killSwitch = await get<boolean>('disable_ai_endpoint')
  if (killSwitch) {
    return Response.json(
      { error: 'This feature is temporarily unavailable' },
      { status: 503 }
    )
  }
  // Normal handling...
}
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Set disable_ai_endpoint: true in Edge Config during an incident. Zero redeploy, global effect in seconds.

Pre-Wired in the Starter

The AI SaaS Starter Kit includes Edge Config integration with:

  • Feature flag helper with allowlist + rollout support
  • Middleware flag gating
  • Admin panel to toggle flags
  • Kill switch on AI endpoints

AI SaaS Starter Kit -- $99 one-time -- feature flags, auth, and billing pre-wired. Clone and ship.


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