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Stop wiring up containers, storage, and orchestration code just to get an agent running. The managed harness in Amazon Bedrock AgentCore replaces all of that with a config file and a system prompt. Go from idea to a running agent in three steps. In this video we'll show you how to build a real AI research agent that opens a managed browser, scrapes the top stories from Hacker News, pulls Reddit via RSS, saves snapshots to persistent storage, and generates a trend digest every 6 hours.

Join this session to master the art of building AI agents on AWS. Witness the evolution of generative AI (GenAI) that has enabled agentic systems to surpass traditional language models, and learn the fundamental principles that define an AI agent. Dive into the process of leveraging AWS serverless compute, the Strands Agents SDK, and the Model Context Protocol (MCP) to create these dynamic, adaptable agents.

In this episode of "AWS Show and Tell", we will deep dive into Amazon Bedrock AgentCore Evaluations, from the fundamentals of agent evaluation to continuously monitoring your AI agents in production. We start with the mental model behind why evaluating non deterministic agents requires a new approach, then walk through a hands on agent demo: setting up evaluations, diagnosing weaknesses across session, trace, and tool levels, and improving agent performance using evaluation results.

Introducing the managed agent harness in Amazon Bedrock AgentCore. Define your agent, pick a model, add tools, and run it in three API calls. No orchestration code. → https://go.aws/4cv5U7Y Want to learn more about Agent Harnesses? Check out this vid: https://go.aws/3Qu7VIT

Explore how agentic AI is transforming cloud-native application architecture, unlocking faster innovation cycles and entirely new application patterns. Learn how new AWS capabilities empower builders to design secure, reasoning-driven agents that orchestrate data, code, and tools at scale, with an emphasis on governance, reliability, and cost efficiency.

🚀 Join us for this episode of "AWS Show and Tell" as we dive deep into Amazon Bedrock AgentCore Observability! 🕵️‍♂️✨ Discover how to build transparent and reliable AI agents with comprehensive monitoring and debugging capabilities. 🛠️🤖 You'll learn how to: ✅ Monitor, analyze, and audit AI agent interactions from day one 📈 ✅ Work across different frameworks and foundation models 🏗️ ✅ Implement observability for both AgentCore Runtime-hosted agents and self-deployed infrastructure 🌐 ✅ Gain...

Simplify building multi-step applications and AI workflows with Lambda durable functions. After turning on a simple configuration setting, you can write, test, and debug durable functions using your preferred programming languages and IDEs. Durability strengthens application resilience. You can preserve progress despite interruptions through built-in error handling, automatic retries, and recovery after failures.

Learn how to implement robust access controls for AI agents in modern applications using AWS services. This session covers essential patterns for AI agent authentication and authorization using Amazon Bedrock AgentCore Identity. We'll demonstrate practical architectures that help ensure AI agents operate securely within defined boundaries while maintaining full visibility across your AWS environment. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Application security teams face an impossible challenge: scale security expertise across growing application portfolios while maintaining development velocity. Traditional approaches force organizations to choose between speed and security. In this session, discover how AWS Security Agent transforms application security from reactive to proactive through AI-powered automation.

Join Swami Sivasubramanian, VP of Agentic AI at AWS, for a fireside chat exploring how organizations can successfully implement agentic AI. This Executive Summit session from AWS re:Invent 2025 covers identifying the right use cases to start with, understanding how agentic AI components fit together, navigating build-versus-buy decisions, and establishing trust as the foundation for AI adoption.

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As AI agents transform the workplace, organizations must adapt their structures and methodologies to harness new opportunities. The probabilistic nature of AI requires continuous iteration and intelligent oversight, creating new ways of working across business functions. To thrive, organizations must combine clear capability assessment with agile planning while leveraging their unique domain expertise and data assets.