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Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison

Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison

A deep dive into "Vibe Coding," a development methodology that prioritizes outcomes over code-level details, using the advanced AI features of VS Code and GitHub Copilot. The talk explores three stages of this methodology—YOLO, Structured, and Spectrum—and demonstrates how to leverage agent modes, custom instructions, reusable prompts, and the Model Copilot Protocol (MCP) to enhance productivity from rapid prototyping to enterprise-scale development.

Building Agents at Cloud Scale — Antje Barth, AWS

Building Agents at Cloud Scale — Antje Barth, AWS

A deep dive into building and scaling production-ready AI agents, detailing a model-driven approach using the open-source 'Strands' SDK and a cloud-native architecture for deploying remote tools with MCP and AWS Lambda.

Building AI agents with Claude in Amazon Bedrock | Code w/ Claude

Building AI agents with Claude in Amazon Bedrock | Code w/ Claude

In a presentation from Code w/ Claude, AWS advocates Du'An Lightfoot, Suman Debnath, and Banjo Obayami introduce Strands, a new open-source Python SDK for building AI agentic applications on AWS. They showcase how Strands simplifies development by focusing on three core components—models, tools, and prompts—and leverages the full reasoning power of foundation models like Claude 3.5 on Amazon Bedrock. The session includes live demos on creating a multi-tool weather agent, integrating with Modular Connected Protocol (MCP) servers for AWS documentation and diagram generation, and using Claude Code to auto-generate a complete Strands agent for AWS CDK.

A2A & MCP Workshop: Automating Business Processes with LLMs — Damien Murphy, Bench

A2A & MCP Workshop: Automating Business Processes with LLMs — Damien Murphy, Bench

A deep dive into using Google's A2A (Agent-to-Agent) framework and MCP (Model Context Protocol) to build intelligent, automated workflows. This summary covers the core concepts, strategic implementation, a practical multi-agent architecture, and critical insights on lean context management to control costs and latency.

From Human-Readable to Machine-Usable: The New API Stack

From Human-Readable to Machine-Usable: The New API Stack

Sagar Batchu, CEO of Speakeasy, discusses the pivotal shift in API development as AI agents become primary consumers. The conversation covers the rise of the Model Context Protocol (MCP), the challenges in building agent-ready APIs, and how Speakeasy provides a toolchain for creating, managing, and securing MCP servers.