Build your first app or website with AI.
An AI feature can look permanent right up until the provider removes the sign from the building. GitHub Models reached that moment on July 30. GitHub had announced that the playground, model catalog, inference API, and bring-your-own-key endpoints would all be retired for existing customers, not just closed to new ones. I did not find …
Continue reading “GitHub Models Shut Down: What Beginners Should Learn About AI Vendor Lock-In”
The newest AI coding update is often treated like a shopping event. A new model arrives. A coding tool adds another model picker. A benchmark chart moves. Then you are left wondering which button to press before you build your first app. That confusion is understandable. On July 28, GitHub said Grok 4.5 was rolling …
Continue reading “How To Choose An AI Coding Model For Your First App In 2026”
The biggest shift in AI-assisted coding lately is not that tools can write code faster. It is that they can now write *reviews* faster too. On July 29, 2026, GitHub announced that Copilot code review gained GA support for agent skills and MCP-style integrations. In plain terms, AI can now read a larger chunk of …
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
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.
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 AI builds screens, databases, and features, make your app idea pass a simple beginner checklist: person, workflow, value, scope, data, risk, and done.
Marcus Kim | AI App Builder 