Cloudflare just slop forked Next.js…

Overview

This episode dives into the escalating rivalry between Vercel and Cloudflare, sparked by Cloudflare's release of V-Next—a reimplementation of the Next.js API built on Vite. The discussion explores the technical implications of V-Next, its potential impact on deployment flexibility, and the broader significance for open-source projects.

Notable Quotes

- When it comes to bleeding edge software, you're the one who bleeds.

- Production build times with V-Next were up to 4.4 times faster than Next, and the client bundle size was 57% smaller.

- No matter how much code agents write for you, you still need to understand how that code works under the hood.

🔥 Rivalry: Vercel vs Cloudflare

- The rivalry between Vercel and Cloudflare intensified with the release of V-Next, which allows Next.js apps to be deployed on platforms beyond Vercel.

- Germo from Vercel criticized V-Next as a slop fork, while Cloudflare highlighted its technical advantages.

- Vercel responded by pointing out vulnerabilities in V-Next, though these were dismissed as irrelevant due to the project's early stage.

⚙️ What is V-Next and How It Works

- V-Next is a reimplementation of the Next.js API built on Vite, enabling deployment flexibility for Next.js apps.

- Cloudflare achieved 94% API coverage in just a week, leveraging AI to accelerate development.

- Built on Vite, V-Next benefits from Vite's architecture, including Rollup and Rust-based bundling for improved performance.

🚀 Performance and Benchmarks

- Cloudflare's benchmarks showed V-Next achieving up to 4.4x faster production build times and a 57% smaller client bundle size compared to Next.js.

- In personal tests, the host achieved 5x faster builds for their newsletter app, though they noted the project isn't production-ready yet.

🛠️ Migration Challenges and Developer Experience

- Migrating to V-Next requires refactoring, such as updating package.json to use ES modules and renaming files with JSX extensions.

- Cloudflare's agent tool simplifies the migration process, though some manual adjustments are still necessary.

- The host emphasized the importance of understanding the underlying code, even when using AI-assisted tools.