Build your first app or website with AI.
The most dangerous sentence in an AI-built app is often: > The bug is fixed. That sentence can mean several different things: the original symptom disappeared; the error message was hidden; the failing path was bypassed; the code now handles one example but not the workflow; or the change fixed one screen while quietly breaking …
Continue reading “How To Know Whether AI Fixed The Bug Or Hid The Bug In 2026”
A practical code-review pass for people building their first app with AI
A new feature request is not a tiny favor. It is a decision about time, scope, money, and the promise you already made.
An API is not a magic button. Before AI connects your app to an outside service, define the input, output, permission, failure, cost, and test.
A login form is only the front door. Before AI builds accounts, define who can enter, what they can see, what they can change, and what happens when access ends.
A useful client update should prove one new thing a real user can do, expose what still does not work, and end with a clear decision about what happens next.
You do not need a backend because an AI tool mentioned one. You need one when a real user outcome requires information to survive, belong to someone, or be shared.
A feature is not done when the screen looks finished. It is done when a real user can complete one clear outcome and you can prove it.
Before you ask AI or a small team to build faster, write the operating laws that let everyone move without constant correction.
Before AI builds screens, databases, and features, make your app idea pass a simple beginner checklist: person, workflow, value, scope, data, risk, and done.
