Why I Built Liberra
One engineer, 3 AM, and the AWS Console from hell.
It's 3 AM. Production is down. I'm clicking through the AWS Console, 14 tabs open, wrong region twice, CloudWatch logs loading at the speed of dial-up. My team is on a call. Everyone's waiting on me to find the broken EC2 instance, check its security group, trace the ALB target, figure out why traffic stopped.
I found it 40 minutes later. A security group rule changed during a deploy. One wrong click, one missing inbound rule, whole production stack went dark.
That night I kept thinking: why did this take 40 minutes? I knew exactly what to look for. The problem wasn't knowledge. It was the interface. I was fighting the console instead of fixing the problem.
The pain is universal
If you manage AWS, you know the drill. Open the console, forget which region you're in, click through 6 pages to find one instance, open a new tab for the security group, another for the load balancer, another for CloudWatch. Context is spread across 200+ services and a million clicks.
I've done this for years. At startups, at scale-ups, freelancing. Every single time: same friction, same 15 tabs, same "wait, which region am I in?" moment. Same dread when someone says "can you check why the API is slow?"
And I kept thinking: why can't I just ask someone who already knows my infrastructure?
What if your cloud had a brain?
That's the idea behind Liberra. Not another dashboard. Not another monitoring tool. An AI that already knows your entire AWS infrastructure, every instance, every security group, every cost, before you even ask. Manage it through conversation.
"What's running in us-east-1?" Instant answer, no clicking. "Any security issues?" Scans everything, shows you the problems. "Deploy a production web server with a PostgreSQL database." It surveys your infra, builds a plan, shows it to you for approval, then executes it step by step.
Think Cursor, but for cloud. Cursor indexes your codebase and lets AI help you code. Liberra indexes your cloud and lets AI help you manage it.
Building it solo
I started building because no one else was building what I wanted. There are cloud dashboards, there are AI chatbots that can call AWS APIs, but nobody built the thing in the middle: an AI with persistent memory of your entire infrastructure that can actually reason about it.
The core is memory. Every 15 minutes, the AI scans your AWS: EC2, RDS, Lambda, S3, VPC, IAM, everything. It flags security issues, calculates costs, detects idle resources. When you ask a question, it doesn't start from zero. It already knows.
On top of that: 31+ tools covering all of AWS. Every write, every deploy, every change: you approve it first. AI proposes, you decide. Nothing happens without your say.
I built this alone. Every line of backend, frontend, infrastructure. Late nights, weekends, the whole thing. Not to prove something, but because I've been the engineer at 3 AM, and I know exactly what that person needs.
Why now
Liberra works. I've tested it against real AWS accounts, real infrastructure, real edge cases. But I haven't tested it against you: your workflows, your pain points, your "I wish it could do X."
I'm not building this for investors or a pitch deck. I'm building it for the engineer who has 14 AWS tabs open right now and wishes they could just type "what's wrong?" and get an answer.
If that's you, come try it. Help me build the tool I wish existed when I was debugging production at 3 AM.
— Founder, LiberraAI