Erik Hanchett

Modern web applications demand fast iteration, automatic scaling, and minimal operational overhead. In this session, discover how to build full-stack web applications entirely on AWS serverless services—from API endpoints and business logic to data persistence and authentication.

In six weeks on reality TV coding show The Full Stack, we built DataSwarm — a data-observability solution shipped as an open-source CLI with cloud-hosted data analysis and remediation. Great demo, wrong architecture.

My coding agents are fast, but speed isn't the whole story. The real question is where they run: the CLI, the IDE, or something else entirely? In this session, I'll break down which tool fits which job and why that choice makes or breaks your workflow.

Model Context Protocol (MCP) provides the foundation for building AI agents and code assistants that connect to your data, infrastructure, and services. Whether developing enterprise customer service AI or code that runs on AWS, MCP brings together intelligence and integration.

Traditional AI coding assistants often struggle with complex project requirements. This talk introduces Kiro, an AI IDE that implements spec-driven development to address these challenges.

AWS Amplify recently launched a second-generation developer experience featuring full-stack TypeScript capabilities for building production-ready applications on AWS.

AWS Amplify offers professional development teams an end-to-end experience and proven patterns to accelerate productivity and build with the speed and reliability of AWS infrastructure.

Next.js continues to gain momentum as a preferred server-side rendering (SSR) framework for frontend developers. In this workshop, use AWS Amplify to build a Next.js application to realize benefits like faster page loads and improved search engine optimization (SEO).