AI Coding Is No Longer Hard, But Deployment Has Become A Nightmare For Developers — Kapasi's Personal Experience Revealed

AI coding tools have made writing code easy, but deployment has become a new pain point for developers. Kapasi, a star in the AI coding field, shared his personal experience: he quickly finished the code for MenuGen (a menu image generator) using Cursor+Claude, but encountered a series of deployment troubles like API configuration, permission issues, rate limits, and even accidentally launched an unprepared project.

Deployment pitfalls include outdated API docs, wrong environment variable settings, multi-platform authentication and payment issues, making developers suffer. Kapasi points out that the problem isn't AI itself, but the toolchain—existing deployment tools are designed for professional developers, and ordinary people can't complete the full process with AI.

Fortunately, solutions are emerging: Stripe Projects simplifies account registration and hosting via a unified entry; Firebase Studio uses AI Agent to integrate full-stack development to release; Railway provides out-of-the-box templates to reduce manual configuration. These tools are trying to fill the gap in the deployment link.