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.

Most people think the cloud is just files floating in the sky.Spoiler: it's not.In this episode, I’m breaking down what “the cloud” really is, why everything you’ve been told is probably wrong, and why it's the engine behind everything from Netflix to AI to your online checkout.This is the kickoff to WTH is the Cloud?! a fun series that makes cloud technology make sense.

Cloud infrastructure has fueled innovation for nearly two decades—yet cost control remains a challenge. Unforeseen expenses and complicated billing can hamper agility, forcing teams to overspend just to stay competitive.What if you could evaluate costs in real-time, identify inefficiencies, and optimize deployments—without slowing development? Imagine adjusting parameters based on on-the-fly estimates and usage.In this presentation, Malcolm Matalka, Co-founder and CTO of Terrateam, explores how OpenInfraQuote, a new open-source command-line tool, transforms Terraform and OpenTofu code into actionable cost insights. Learn how to automate price checks, compare scenarios, and avoid financial surprises—alongside how it differs from other solutions and how to integrate it into your workflow.Resources- GitHub: https://github.com/terrateamio/openinfraquote- Documentation: https://openinfraquote.readthedocs.io/en/latest/

Terraform 1.6 introduced native Terraform tests, but running them against real cloud resources leads to long deployment times and unnecessary costs. With LocalStack's Terraform integration (tflocal), you can validate configurations locally while closely emulating real cloud behaviour. By combining Terraform tests with LocalStack, developers can run integration tests in CI/CD environments, test event-driven serverless workflows, and establish a rapid feedback loop for cloud development.In this presentation, Harsh Mishra provides a hands-on demo of Terraform testing with LocalStack, exploring how to configure tests, validate infrastructure locally, and reduce costs and complexity while improving confidence in deployments.## Resources- Blog: https://blog.localstack.cloud/efficient-infrastructure-testing-localstack-terraform-tests-framework/- Documentation: https://developer.hashicorp.com/terraform/language/tests- tflocal: https://docs.localstack.cloud/user-guide/integrations/terraform/#tflocal-wrapper-script