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.

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.📖 Want more?Check out the companion blog post for a deeper breakdown of the architecture, project structure, and all the commands you’ll need to run it yourself.🔗 https://blog.localstack.cloud/why-i-run-my-serverless-apps-locally/

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.## Resources- Documentation: https://docs.localstack.cloud/user-guide/aws/bedrock/- Get access: https://www.localstack.cloud/contact

LocalStack's core cloud emulator lets you emulate various cloud services on your own computer. This means you can develop and test your cloud-based solutions without connecting to a remote cloud.However, there are times when you need to seamlessly switch between your local setup and actual cloud resources, especially in hybrid situations. For instance, you might want to share a database with your local Lambda function or access S3 files stored remotely while running a Glue ETL job locally.With LocalStack's AWS Replicator extension, your local environment can replicate AWS cloud resources at the API level, allowing direct interaction with cloud services. The Replicator extension enables you to forward specific requests from LocalStack to AWS without complex proxy setups, and create test scenarios that involve a mix of local and cloud resources.Check out our tutorial — https://docs.localstack.cloud/tutorials/replicate-aws-resources-localstack-extension/