Cursor Did It for Code. Someone Had to Do It for Cloud.

You know how Cursor works. It reads your entire codebase: every file, every function, every dependency. The AI doesn't just know the line you're editing. It knows everything around it. So when you ask it to change something, it understands what else breaks. That's the whole product.

Before Cursor, you'd paste code into ChatGPT and pray it understood the context. It didn't. It couldn't. It had no idea what your project looked like.

Cloud infrastructure has the same problem. Nobody fixed it.

Same problem, different surface

When you ask a generic AI "what's wrong with my infrastructure?" it goes and checks. One API call at a time. Starting from scratch. No idea what your account looked like yesterday, last week, or five minutes ago. It's like asking a contractor to renovate a house they've never walked through.

Liberra does it the other way. Before you ask anything, the AI has already read your entire cloud. Every instance, every database, every security group, every cost. It already knows.

So when you ask "what's wrong?" it doesn't check. It tells you.

Why cloud, why now

Cursor made more people productive with code. Not because it taught them to code better, but because it removed the friction between what they knew and what they could do.

Cloud is the same. Most engineers know what they want to build. The friction is the interface: 200+ services, 15 tabs, wrong region, the click marathon. Remove the friction and you remove the fear.

That's what I'm building. Not a replacement for AWS. AWS is fine. A better interface between you and it. One conversation instead of 15 tabs.

Cursor did it for code. Someone had to do it for cloud. Might as well be me.

— Founder, LiberraAI