Deploy Your AI-Built App to Vercel
Vercel is the default deployment target for most AI-generated Next.js apps. Cursor, Lovable, v0, and Bolt all scaffold projects that deploy to Vercel — but serverless constraints and edge runtime limits catch most first-time deployers off guard.
Common Vercel deployment issues
Real problems from AI-generated apps deployed to Vercel.
Serverless function size exceeds 50MB limit
AI tools bundle heavy dependencies into API routes without tree-shaking, pushing serverless functions past Vercel's 50MB compressed size limit and failing the build.
Edge runtime incompatible with Node.js APIs
Generated code uses fs, crypto, or other Node.js built-ins inside Edge Runtime routes, causing deployment failures since Edge only supports a subset of Web APIs.
ISR revalidation not triggering correctly
Incremental Static Regeneration configured with stale revalidate values or missing on-demand revalidation hooks, serving outdated content indefinitely.
Environment variables missing in production
Secrets added to .env.local but not configured in the Vercel dashboard, causing runtime crashes only in production while working perfectly in local dev.
Middleware running on every request
AI-generated middleware.ts lacks a matcher config, executing authentication or redirect logic on static assets and API routes, degrading response times.
Start with a self-serve audit
Get a professional review of your Vercel deployment at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Why does my AI-generated app fail to deploy on Vercel?
The most common cause is serverless function size limits. AI tools like Cursor and Bolt bundle large dependencies (sharp, puppeteer, prisma engines) into API routes without optimizing imports. You need to externalize heavy packages, use dynamic imports, and ensure your bundled function stays under 50MB compressed.
How do I fix Edge Runtime errors on Vercel?
Edge Runtime only supports Web APIs — not Node.js built-ins like fs, path, or crypto. If your AI-generated code uses these, move those routes to the Node.js runtime by adding `export const runtime = 'nodejs'` to the route file, or refactor to use Web Crypto API and fetch-based alternatives.
Can SpringCode help deploy my vibe-coded app to Vercel?
Yes. We audit your AI-generated codebase for Vercel-specific issues — serverless function limits, ISR misconfigurations, middleware problems, and environment variable exposure. We then fix them and handle the deployment so your app runs reliably in production.
Related resources
Need help deploying to Vercel?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.