Join us for a captivating AI-focused meetup at the newly renovated Kognic office on Lindholmen! Dive into the future of artificial intelligence with insights from both an external guest speaker and our very own Kognic expert. Our speakers will shed light on cutting-edge AI innovations and how they're reshaping industries. While you network with like-minded enthusiasts, enjoy a selection of delicious food and drinks. Don't miss this opportunity to expand your AI knowledge and connect with fellow tech enthusiasts. RSVP now to secure your spot, and be a part of the AI revolution!
One Platform, Every System, Your Terms
Speaker: Paul Stack
Infrastructure as Code changed how we manage cloud infrastructure. But the model has limits: platform-specific APIs, brittle state management, and a tight coupling between your automation and your provider. What if automation wasn't about learning another cloud API, but about describing what you want and letting agents figure out how to make it happen?
swamp is an open-source adaptive automation platform where AI agents write, review, test, and ship automation across any infrastructure. It's not an IaC replacement. It's a different model entirely: extension-driven, provider-agnostic, and built around the idea that the human defines the intent and the agents handle the execution.
In this talk I'll show what swamp actually is, how it works under the hood, and why the generic extension model matters more than any single cloud integration. Live demo included — from zero to running automation against real infrastructure, with agents doing the work.
From idea to production with Claude: A product engineer's AI-powered workflow
Speaker: Theo Berglin
How does a team of 2 devs and a part time designer ship a full product? At Kognic, a big part of the answer is Claude. I'm a product engineer, and we've built Claude into every part of our day, from discovery and design to implementation, testing, monitoring, debugging and deploys. I'll walk through what that workflow looks like in practice, the parts that work, the parts that don't, and how AI coding agents are changing the way small teams operate.