Use AI like a supervisor, not a spectator.

There are two ways to use AI in 2026.

The first is to type "build me an app that does X" and accept whatever falls out. The second is to make the important decisions yourself and use AI to type faster, not think less.

Only the second one scales past the demo.

The problem with vibe-prompts

A vibe-prompt is any prompt that describes what you want without specifying how it should work. "Build me a todo app with auth." It feels productive. You get working-looking code. But you didn't choose the schema. You didn't choose the auth strategy. You didn't choose anything. You just narrated a wish.

Two weeks later something breaks, and you can't fix it because you never made the decision that broke.

Build me a comment system for my blog.

Make comments threaded and self-referencing, with a max depth 3. Explain how this differs from materialized paths.

The precision-prompt loop

Every task in the curriculum follows the same three-step loop.

1. 1.

   Frame the decision. I'll guide you through what we're actually trying to decide — not just "auth," but "where should session state live?"

2. 2.

   Build it with AI. Once the decision is clear, we hand it to the model. We ask the right questions, it writes the code.

3. 3.

   Make it work. Something will always need fixing. Knowing what to fix, and why, is the whole game. That's what I'm here for.

Another example: state

Add likes to the feed.

Make the like mutation optimistic, roll it back on 4xx errors, avoid an immediate refetch when invalidating the feed query, and debounce repeated taps.

Why this lands you offers

Hiring managers don't care that you can generate code. So can their 16-year-old nephew. They care that you can reason about a system, trade off correctly, and ship. That's a skill. It's the skill. And it's the only thing this curriculum is built to teach.

The confidence you build is what changes how you show up. The app you ship is just the proof.