Choosing between standard React and Next.js depends on your rendering requirements, search engine visibility, and backend needs:

When preparing to launch a Next.js app, choosing the right compute environment directly impacts maintenance overhead, scaling speed, and operating costs.

You can create and launch your Next.js application using two primary workflows: Rapid AI Prototyping (no local CLI setup required) or Standard Container Deployment (for custom codebases).

For rapid prototyping and vibe coding workflows, Google AI Studio Build Mode allows developers to describe full-stack Next.js applications in natural language and publish them directly to Cloud Run without managing command-line tools or configuring a billing account.

Step 1: Initialize the app in Build Mode

1. Navigate to Google AI Studio and switch to Build Mode.
2. Enter your application prompt describing your user interface, styling, and business logic (for example, "Build a collaborative project tracker in Next.js with interactive task boards and user login").
3. The integrated AI agent generates the Next.js component files, configures App Router layouts, installs npm dependencies, and displays a live interactive preview directly in your browser.

Step 2: Add integrated database storage and user login

• Persistent data: If your prompt requires data storage, enable Cloud Firestore or Cloud SQL for PostgreSQL (Developer Edition). The agent automatically drafts your data models, client connection files, and security rules.
• User authentication: Toggle Firebase Authentication to enable Google Sign-In flows without writing custom OAuth redirect handlers.

Step 3: Publish to Cloud Run

1. Click Publish > Get Started > Publish App in the upper interface.
2. Provide your Custom URL <my-nextjs-app>.ai.studio and confirm your deployment region.
3. The platform packages your container, provisions the underlying compute, and gives you a live *.run.app HTTPS production URL within seconds.

For existing codebases or projects exported from tools like Claude Code, Replit, or local development environments, containerize your application and deploy using the Google Cloud CLI.

Step 1: Configure standalone output

Update your next.config.js (or next.config.mjs) file to produce a standalone build [Inference]:

Step 2: Create a multi-stage Dockerfile

Create a .dockerignore file in your root folder containing node_modules and .env so local development files are not bundled into your container.

Create a Dockerfile in your project root:

Step 3: Deploy to Cloud Run

Deploy directly from your project folder using the Google Cloud CLI and assign an easy to remember and share Custom URL of format <my-cool-app>.cloud.run:

Understanding how free allocations work ensures you can prototype and scale your Next.js application predictably:

• Use standalone output: Always enable Next.js standalone mode to avoid packaging unused development dependencies into your production containers [Inference].
• Set instance limits on paid projects: When transitioning from a prototyping sandbox to production, set --max-instances (for example, --max-instances 5) to ensure unexpected traffic surges do not exceed your budget.
• Leverage React Server Components: Shift intensive data fetching to server components to keep your browser bundle lightweight and improve Core Web Vitals [Inference].
• Ensure client environment variables are built in: Remember that NEXT_PUBLIC_ environment variables are baked into client bundles during build time. Make sure they are defined before running your build stage.