AI code generators have advanced significantly, but are they production-ready? In this post, we evaluate tools like Codex, Replit Ghostwriter, and Mintlify that can generate full functions, classes, and APIs from plain English prompts. These tools are now capable of creating basic apps, UI components, database queries, and more. But how reliable are they for real-world deployment? We test them in realistic scenarios — from building a simple todo app to integrating APIs in a React frontend. We assess output quality, test coverage, scalability, and error handling. While AI accelerates prototyping, it often needs human refinement before going live. We also discuss best practices for reviewing and refactoring AI-generated code to meet production standards. For startups, hobbyists, and even experienced developers, this post reveals what AI can (and can’t) do when it comes to writing safe, scalable, production-level code. Know the limits — and how to push them responsibly.
