How to Deploy Vibe Coded Apps to Production in 7 Steps

Deploying AI-generated or “vibe coded” apps involves identifying whether the project is static, full-stack, Python-based, or split into separate frontend and API services; correcting common production issues such as hardcoded localhost URLs, missing environment variables, CORS settings, and unsuitable SQLite storage; and connecting a GitHub repository to a host suited to the application’s architecture. Static sites can use services such as Vercel, Netlify, or Cloudflare Pages, while applications requiring server runtimes or persistent storage may use Railway, Render, Fly.io, managed Postgres providers, or a VPS. Before launch, developers should move credentials out of source code, configure build settings and domains, review deployment logs, and enable error, uptime, and database-performance monitoring. The material also warns that AI-generated applications may lack input validation, robust authentication, rate limiting, and secure handling of client-side secrets, making a security review important before serving real users. For workplace or regulated use, it recommends additional controls including centralized secrets management, isolated development and production environments, scoped database access, RBAC, SSO, and audit logs, while presenting governed internal-app platforms as an alternative to separately managing hosting and access controls.

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