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 …
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.
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.
Marcus Kim | AI App Builder 