How we designed the Getyn AI build experience

When we started Getyn, we kept returning to one question: what makes building with AI feel magical instead of frustrating? The answer shaped every decision in the product.

Show real software, fast

The first thing you should see is your idea running. Not a plan, not a wireframe — a real application in a live preview. That immediacy is what turns a vague idea into momentum.

Keep the user in control

AI should propose, not impose. You steer with plain language, click elements to edit them directly, and can stop, review, or redirect at any point. When Getyn suggests a plan for a large change, you can approve it, skip it, or say "do this instead."

Magic that you can't inspect is just a black box. We wanted magic you can open up and own.

Never hide the code

Everything Getyn builds is real, readable React and TypeScript you can export to GitHub. That keeps you free — free to grow, to hire, to take your project anywhere. Ownership isn't a feature; it's the foundation.

The hard part: staying honest

The toughest engineering work is making the AI reliable: verifying that generated code compiles, catching mistakes before they reach you, and recovering gracefully when something goes wrong. We'd rather be a little slower and right than fast and broken.

We'll keep sharing how the platform is built in Inside Getyn.