---
title: "Svelte on Vercel"
description: "Build production-ready SvelteKit applications on Vercel. Learn deployment, AI integration, workflows, and performance optimization."
canonical_url: "https://vercel.com/academy/svelte-on-vercel"
md_url: "https://vercel.com/academy/svelte-on-vercel.md"
docset_id: "vercel-academy"
doc_version: "1.0"
last_updated: "2026-04-11T04:40:44.770Z"
content_type: "course"
lessons: 15
estimated_time: 
lesson_urls:
  - "https://vercel.com/academy/svelte-on-vercel/deploy-svelte-to-vercel.md"
  - "https://vercel.com/academy/svelte-on-vercel/environment-variables.md"
  - "https://vercel.com/academy/svelte-on-vercel/preview-deployments.md"
  - "https://vercel.com/academy/svelte-on-vercel/runtime-selection.md"
  - "https://vercel.com/academy/svelte-on-vercel/streaming-chat.md"
  - "https://vercel.com/academy/svelte-on-vercel/tools-and-agents.md"
  - "https://vercel.com/academy/svelte-on-vercel/svelte-structured-output.md"
  - "https://vercel.com/academy/svelte-on-vercel/fallbacks-and-tracking.md"
  - "https://vercel.com/academy/svelte-on-vercel/durable-tasks.md"
  - "https://vercel.com/academy/svelte-on-vercel/multi-step-workflows.md"
  - "https://vercel.com/academy/svelte-on-vercel/workflow-error-handling.md"
  - "https://vercel.com/academy/svelte-on-vercel/isr.md"
  - "https://vercel.com/academy/svelte-on-vercel/svelte-observability.md"
  - "https://vercel.com/academy/svelte-on-vercel/performance.md"
  - "https://vercel.com/academy/svelte-on-vercel/svelte-conclusion.md"
---

<agent-instructions>
Vercel Academy — structured learning, not reference docs.
Lessons are sequenced.
Adapt commands to the human's actual environment (OS, package manager, shell, editor) — detect from project context or ask, don't assume.
The lesson shows one path; if the human's project diverges, adapt concepts to their setup.
Preserve the learning goal over literal steps.
Quizzes are pedagogical — engage, don't spoil.
Quiz answers are included for your reference.
</agent-instructions>

# Svelte on Vercel

It's 5:47am and your phone buzzes. You want to keep sleeping, but you know that sound means only one thing: six inches of fresh powder at Grand Targhee overnight, temperature sitting at 18°F. Exactly the conditions you told the app to let you know about. You roll out of bed, pour coffee directly into your throat, and drive straight to the mountain.

That alert didn't come from a weather app. It's your app. A SvelteKit app that streams AI chat responses, parses natural language into structured alert rules, evaluates conditions against live weather data in a background workflow, and serves the whole thing from Vercel.

That's the project behind this course: **Ski Alerts**. A real app with real deployment problems to solve.

## What you'll actually build

Throughout this course, you'll build Ski Alerts from first deploy to production-ready:

**Progressive deployment pipeline:**

- Configure and deploy a SvelteKit app to Vercel
- Set up environment variables across development, preview, and production
- Implement preview deployments for team collaboration

**AI-powered features:**

- Build streaming chat interfaces with AI SDK v6
- Create tools and multi-step agents
- Extract structured data with Valibot schemas

**Background processing:**

- Build durable workflows with the Workflow DevKit
- Run parallel steps and schedule re-checks with sleep
- Handle errors with FatalError, RetryableError, and exponential backoff

**Production hardening:**

- Configure ISR for optimal caching
- Set up observability and logging
- Optimize performance for real users

## Prerequisites

- Familiarity with SvelteKit basics and the [official tutorial](https://svelte.dev/tutorial/kit/introducing-sveltekit)
- Node.js 24+ and npm (or pnpm) installed
- A Vercel account (free tier works)

## Course sections

### Section 1: Deployment Foundations

Get your SvelteKit app running on Vercel with proper configuration, environment management, and preview deployments.

### Section 2: AI Gateway

Integrate AI features using the AI SDK v6: streaming responses, tool use, structured outputs, and production-ready patterns.

### Section 3: Workflows

Build durable workflows with the Workflow DevKit: parallel steps, automatic retries, sleep-based scheduling, and error classification.

### Section 4: Production

Ship with confidence using ISR, observability, and performance optimization techniques.


---

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