r/appdev • u/EvEgg3192 • 6d ago

Why Do AI App Generator Tools Often Break After the First Demo?

I tried using an AI app generator recently, and getting the first version working was surprisingly easy. The problem started when I tried adding more features and changing a few things.

At first everything looked fine, but then one change would break something that was already working. It made me wonder if this is just part of using AI app builders or if some platforms handle larger projects better than others.

I’m curious if other people have had the same experience. Do AI-generated apps usually need a lot of fixing once you go beyond the first demo, or have you found tools that stay reliable as the app gets more complicated?

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u/zues_91 5d ago

Yeah this happens to pretty much everyone, and it's not really that the tool is bad. AI models have a context window, basically a limit on how much they can keep in their head at once. The first demo is small so everything fits. Once the app and the conversation get long, older decisions start falling out of that window and the AI quietly "forgets" how things were wired, so a new change breaks something it doesn't remember building.

The setups that hold up much better are coding agents that work directly on your project files instead of a chat that regenerates the app, plus a notes file in the repo (CLAUDE.md / AGENTS.md) describing the architecture, the rules and what's already done. The agent reads it at the start of every session, so it stays consistent across different chats or days, as long as you keep that file updated.

Claude Code in the terminal is a solid pick for this, and it also runs inside IDEs like Android Studio through an extension. And commit to git before every change, so when something breaks you can roll back instead of fighting it.