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.

In this video, you'll learn how you can run an Elastic Compute Cloud (EC2) instance locally using LocalStack's core cloud emulator. Elastic Compute Cloud (EC2) is a core service within Amazon Web Services (AWS) that provides scalable and flexible virtual computing resources. EC2 enables users to launch and manage virtual servers, commonly referred to as instances. LocalStack is a core cloud emulator that allows you run EC2 instances using a Docker backend. Under the hood, LocalStack spins another Docker container that mimics an EC2 instance functionality, including other add-on features such as EBS, IMDS, and Load Balancers. Corrections: LocalStack will no longer provide the Ubuntu 20.04 Docker AMI (used in this video) by default in the next major release, though it can still be manually added, and on nine minutes & nine seconds mark, we meant 'localhost' instead of 'localstack'. To access the web server, you can hit the localhost:8000 endpoint as shown in the video.

Get started with LocalStack in minutes! In this episode, we’ll clone a ready-to-go AWS sample app, spin up LocalStack, and run everything locally without a cloud account. By the end, you’ll have a fully functional event-driven app running on your machine.

Bedrock is a fully managed service provided by Amazon Web Services (AWS) that makes foundation models from various LLM providers accessible via an API. LocalStack allows you to use the Bedrock APIs to test and develop AI-powered applications in your local environment. In this video, Silvio showcases how LocalStack 4.0, with our new Bedrock support, is keeping up with advancements in Generative AI (GenAI) and large language Model (LLM) ecosystems. You'll learn what Amazon Bedrock is, the benefits of Bedrock emulation, and a live demo of how it works.