In this video, you'll learn how to set up and integrate LocalStack's Snowflake Emulator to develop and test your Snowflake data apps in your local environment or CI pipelines. Whether you're using Snowpark, various client libraries, or building interactive data apps with frameworks like Streamlit, this emulator simplifies your developer experience.We'll walk you through step-by-step instructions on:- Installing the Snowflake emulator with the LocalStack CLI & Docker- Configuring and integrating the emulator with popular SQL clients, such as DBeaver- Running SQL queries locally to replicate a full Snowflake environment without cloud dependencies⚡ Get early access! The Snowflake Emulator is currently in public preview—reach out via the link below for access and start building today!## Resources- LocalStack for Snowflake documentation: https://snowflake.localstack.cloud/- LocalStack for Snowflake samples: https://github.com/localstack-samples/localstack-snowflake-samples- Get access: https://www.localstack.cloud/contact

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.