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.

Bring your tests to CI/CD with GitHub Actions! In this episode, we’ll show how to integrate LocalStack into your workflow, so your tests run automatically on every push without touching real AWS resources. Whether you're testing Lambda, DynamoDB, S3, or beyond LocalStack makes it possible to run everything locally, even in your CI workflows.

Check out the recording of the hands-on webinar featuring Yan Cui, AWS Serverless Hero, and Waldemar Hummer, CTO of LocalStack, to learn practical use cases around monitoring serverless applications for local dev&test loops. Learn the best practices for debugging serverless applications using various AWS services to support your serverless workflows while troubleshooting errors and performance issues. In this video, you will learn about building and deploying Serverless apps locally, common patterns and workflows for testing Serverless apps, troubleshooting errors and performance issues in dev&test loops, implementing observability with distributed tracing with Lumigo, and local Serverless development with LocalStack.

In this talk, Teja explore the intricacies of the software supply chain and discuss strategies for protecting your software against supply chain attacks. He look sinto the risks associated with these threats, offer mitigation measures, and covers recommended practices for managing open-source software and Software Bills of Materials (SBOMs). This session aims to equip the audience with the knowledge and tools needed to enhance the security of their software supply chain.