AI can generate backend code quickly. That does not automatically mean it helps you ship quickly.
When every new project begins with prompts for authentication, JWT configuration, refresh tokens, role checks, validation, exception handling, and file uploads, much of the promised speed is consumed by rebuilding infrastructure you have already solved.
The higher-leverage approach is straightforward:
Start with a stable backend foundation, then use AI to implement the product-specific behavior on top of it.
That shift gives the AI stronger context, keeps the architecture consistent, reduces prompt size, and moves engineering time toward the features users actually care about.
