How to Deploy Your AI-Built App: A Practical Guide for First-Time Builders

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Developers who build apps using AI assistants often hit a wall when trying to share their work beyond a local environment, because deployment involves infrastructure decisions that code generation tools do not handle. The article distinguishes between static front-end apps, which can be hosted for free on platforms like Vercel, Netlify, or Cloudflare Pages within minutes, and backend apps, which are better served by managed platforms like Railway, Render, or Fly before considering a dedicated server. A self-managed server is recommended only when platform costs exceed a basic VPS, or when persistent storage, background jobs, or data residency requirements arise. AI-generated code commonly embeds API keys directly in source files and relies on local file storage, both of which cause serious problems in production environments — including security breaches and data loss on redeployment. Developers are advised to use environment variables for secrets, managed databases instead of SQLite, and object storage services like Cloudflare R2 or Amazon S3 for user-uploaded files.

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