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- Create ephemeral environments for fast, clean, isolated testingKeep your cloud workflows repeatable, testable, and fastWhether 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.

In this live session, Brian from LocalStack will demonstrate the WireMock extension for LocalStack, showing how developers can achieve end-to-end local testing by combining AWS service emulation with external API mocking. Brian will walk through real-world use cases, demonstrate the integration in action, and explain how this unified approach simplifies testing complex cloud applications that depend on both AWS services and third-party APIs.

In this live session, WireMock CTO Tom Akehurst will introduce hybrid API simulation (local + cloud) with WireMock Runner. Tom will explain why we built Runner, how developers are using it today, and how it fits into modern dev and test workflows - such as simulating APIs during testing, prototyping, and AI-native development.

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 developmentHow the LocalStack MCP Server turns manual cloud tasks into automated workflowsHow to set up and configure the server with your favorite AI editor (Cursor, VS Code, etc.)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.