Over the past few months I was noticed the same pattern across AI website builders, coding agents and workflow tools.
The first version always feels impressive.
You can go from idea working prototype absurdly fast now: landing pages, dashboards, CRUD apps, internal tools, automations, even decent UI structure.
For a moment it feels like software development changed completely.
Then the project starts becoming “real”.
Real users show up.
Edge cases appear.
SEO matters.
Auth gets complicated.
Context starts drifting.
Generated structure becomes difficult to maintain.
Small changes unexpectedly break unrelated things.
The strange part is that most of these systems are not failing because the models are bad.
They fail because the tooling layer around the model is usually optimized for: speed of generation, demo quality, short term output, not long term reliability.
A lot of AI products right now feel like they are designed to win the first week, not survive month 6 of production usage.
I am curious if others building with AI agents/tools are seeing the same thing.
Are people solving this with better architecture and workflows around the models? Or is this just the current stage of AI tooling right now?