AWS

Generative AI is forcing us to rethink the very foundations of computing—what it means to program, to test, and even to “know.” This talk explores how the shift from deterministic systems to reasoning, agentic models is reshaping development practices, cost structures, and the role of the developer. From context engineering to AI economics, from “vibe coding” to specs-driven systems, we’ll trace the rapid evolution of GenAI and what it reveals about the future of software creation. Join to discover why everything you thought was stable in computing is being rewritten—faster than any technological shift before it.

Imagine a support team where Jira tickets are sometimes incomplete, ambiguous, or unnecessarily complicated, and valuable time is lost as a result. Now imagine an artificial intelligence that can “read,” interpret, and validate these tickets on its own, before a human even touches them. In our presentation, we’ll share how we taught Athene AI to understand Jira tickets through MCP-based integration. We’ll show how we built a Jira MCP server and designed a smart workflow that not only filters out incomplete or faulty tickets but also automates previously time-consuming manual checks. The result? Faster processing, fewer errors, and a happier support team – all powered by Athene AI.

AWS Model Context Protocols (MCPs) servers open new ways for developers to securely interact with AWS services directly from their IDEs. In this session, we’ll explore how MCPs can streamline real-world development workflows—such as provisioning resources, managing infrastructure, or querying AWS services—without leaving your development environment.

Transform your AI development skills by mastering Amazon Bedrock AgentCore, AWS's fully managed service for deploying intelligent, autonomous AI agents at enterprise scale. This intensive hands-on workshop takes you beyond basic chatbots to build sophisticated agentic AI systems capable of dynamic decision-making, tool usage, and complex task execution. Key Takeaways: - Deploy and scale secure AI agents using managed infrastructure - Integrate agents with external APIs and enterprise systems - Build custom tools and memory systems for enhanced capabilities - Implement production-grade monitoring and security controls Prerequisites: Basic familiarity with AWS services and Python programming.

Learn what Model Context Protocol (MCP) is and why it matters for your products. We'll start with the basics, then build and deploy an MCP server to both AWS and Cloudflare. You'll create a working server, deploy it to the cloud, and test it with Claude.ai to see how it improves user interactions. We'll cover practical deployment strategies and show how MCP fits into agent-based workflows. This workshop is for developers and technical teams who want hands-on experience with MCP and cloud deployment. You'll walk away with a working remote MCP server and the knowledge to create one for your own product(s).

This hands-on workshop will guide you through the AWS Agentic AI Marketplace launched in July 2025. The workshop has two parts: first, participants will get to learn how to list their own agentic AI capabilities on AWS Marketplace. In the second part, we dive-deeper in a hands-on session format into the use of AI agents and tools available on the Marketplace. Participants will learn how to: - List their agentic AI related offerings - Avoid pitfalls and use best practices regarding marketplace - Navigate the marketplace interface to discover and evaluate AI agents for specific business needs - Compare different autonomous AI agents based on capabilities, pricing, and performance metrics - Deploy and configure agents for common enterprise use cases Prerequisites: - Basic AWS console familiarity - Understanding of fundamental AI/ML concepts - Active AWS account with appropriate permissions This is an intermediate-level workshop ideal for developers, solution architects, and technical decision-makers looking to leverage autonomous AI agents in their organizations, but also interested in how their work and own AI Agents can make it to the AWS Agentic AI Marketplace.