Running AI/ML workloads in the cloud can be expensive, opaque, and difficult to iterate on. LocalStack changes this by enabling engineers to develop and test AI-powered cloud applications entirely locally, emulating services like SageMaker, Bedrock, Redshift, and Snowflake.In this presentation, Waldemar Hummer, CTO of LocalStack, demonstrates how to prototype and validate AI & ML data pipelines safely and cost-effectively using LocalStack’s cloud emulators. You’ll see how to emulate complex AI workflows, test integrations, and use “vibe coding” techniques confidently in a fully sandboxed local environment.

Testing in the cloud = slow builds, fragile staging, surprise bills.Let’s talk about how developers are flipping the script and using local cloud environments to test smarter, faster, and cheaper without breaking production.Bonus: You’ll learn how LocalStack lets you simulate AWS on your machine. Game changer.

Testing in the cloud = slow builds, fragile staging, surprise bills.Let’s talk about how developers are flipping the script and using local cloud environments to test smarter, faster, and cheaper — without breaking production.Bonus: You’ll learn how LocalStack lets you simulate AWS on your machine. Game changer.

Real cloud developers aren’t pushing straight to AWS.They’re building and testing everything locally before a single deploy goes live.This episode breaks down the modern cloud dev workflow and how tools like LocalStack make it possible to move fast without burning money (or trust).Learn how local-first dev culture is changing the cloud game.