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A/B Testing with ConfigCat

ConfigCat is a service for feature flag and configuration management. In this template you'll be able to use feature flags at the edge.

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A/B Testing with ConfigCat

ConfigCat is a service for feature flag and configuration management. In this demo you'll be able to use feature flags at the edge.

By A/B testing directly on the server-side, you'll reduce layout shift from client-loaded experiments and improving your site's performance with smaller JavaScript bundles.

Demo

https://edge-functions-feature-flag-configcat.vercel.app

How to Use

You can choose from one of the following two methods to use this repository:

One-Click Deploy

Deploy the example using Vercel:

Clone and Deploy

Execute create-next-app with pnpm to bootstrap the example:

pnpm create next-app --example https://github.com/vercel/examples/tree/main/edge-middleware/feature-flag-configcat feature-flag-configcat

You'll need to have an account with ConfigCat. Once that's done, copy the .env.example file in this directory to .env.local (which will be ignored by Git):

cp .env.example .env.local

Then open .env.local and set the SDK key to match the one in your ConfigCat dashboard. Your key should be right under your feature flags.

The demo uses the following 4 feature flags, make sure to add them to your ConfigCat environment:

Next, run Next.js in development mode:

pnpm dev

The /about and /marketing pages each have a _middleware.ts file that takes care of doing the AB testing for each page, using a different feature in ConfigCat.

The index page (pages/index.tsx [blocked]) also shows how to do AB testing under the same path, in SSR and client-side.

We fetch and save the feature flags in JSON at build time to avoid doing any kind of data fetching at the edge, check scripts/configcat.js [blocked] to see how it works.

Deploy it to the cloud with Vercel (Documentation).

GitHub
Ownervercel
Repositoryexamples
Use Cases
Edge Middleware
Stack
Next.js
Tailwind

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By A/B testing at the edge, you'll reduce CLS from client-loaded experiments and improve your site's performance with smaller JS bundles.
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