In this hands-on session, you’ll learn how to level up your serverless development by integrating the AWS Toolkit for VS Code with LocalStack — enabling faster Lambda development, debugging, and testing without needing a live AWS account. 👨💻 Featuring: Joel Scheuner, Senior Software Engineer at LocalStack, will show you how to configure the AWS Toolkit for VS Code to connect with LocalStack, deploy and test Lambda functions locally with full AWS emulation, set breakpoints and debug functions right from your IDE, and iterate quickly on code changes with minimal setup overhead. You’ll also hear from an AWS engineer sharing real-world insights and best practices for modern serverless workflows. Whether you’re new to serverless or already deep in AWS development, this session will help you code with confidence and streamline your Lambda workflow from start to finish — all from your laptop.

LocalStack Applications in Developer Hub provides sample templates to help LocalStack users adopt real-world scenarios to rapidly and conveniently create, configure, and deploy applications locally.
Getting started
In this demo, we will setup a Sagemaker on Localstack

What if your AI coding assistant could not only write infrastructure code, but also deploy it, test it, and fix issues automatically — all on your local machine? That's exactly what the LocalStack MCP Server makes possible. In this session, we'll introduce the LocalStack Model Context Protocol (MCP) Server, a new tool that lets AI agents manage your entire local cloud development lifecycle through a conversational interface. You'll learn what MCP is and why it's a game-changer for AI-assisted development, how the LocalStack MCP Server turns manual cloud tasks into automated workflows, how to set up and configure the server with your favorite AI editor (Cursor, VS Code, etc.), and real-world demos: deploying CDK apps, analyzing logs, running chaos tests, managing state with Cloud Pods, and more. Through hands-on examples, we'll walk through a complete workflow where an AI agent deploys a serverless application, verifies resources, troubleshoots issues, and tests resilience, all without leaving the conversation. If you've ever wished your AI assistant could do more than just generate code, this talk will show you what's possible when agents can actually manage your local cloud environment.

Looking to bring AWS emulation directly into your CI/CD pipelines? This hands-on session with Harsh Mishra shows you how to integrate LocalStack with Dagger to level up your development workflows. In this session, you'll learn how to run full AWS emulation locally inside Dagger pipelines, spin up LocalStack as a service using Dagger’s composable syntax, use Cloud Pods for persistent state across pipeline runs, and create ephemeral environments for fast, clean, isolated testing. Keep your cloud workflows repeatable, testable, and fast. Whether you’re building serverless apps, managing infrastructure-as-code, or optimizing your DevOps pipelines, this talk will help you bring LocalStack into the heart of your CI/CD setup.