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The rise of AI coding and autonomous agents is transforming how developers work - enhancing productivity, improving flow state, and making development more intuitive. While simple code completion tools have existed for years, today's agentic capabilities act as collaborative partners throughout the entire development lifecycle.

Learn more about Innovative Leadership: https://go.aws/4q1wqKc Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

Many organizations choose AWS as their primary cloud, building their core network, security, and operations around it—while still needing to connect to other Cloud Service Providers (CSPs). In this session, discover AWS Direct Connect Multicloud Connectivity, a new capability that lets you leverage AWS as your unified control point for cross-cloud connectivity.

Master the use of generative AI-powered software agents for creating and analyzing architecture diagrams and technical documentation. Learn to work with various diagram formats, from images to diagram-as-code representations. Explore chat-based workflows that leverage Model Context Protocol (MCP) servers for enhanced capabilities. Practice integrating custom context rules, example diagrams, and enterprise knowledge sources.

Episode 5 of 8-part series on Amazon Bedrock AgentCore - Memory In this video, you’ll explore AgentCore Memory, the service that enables your agents to remember both short‑term and long‑term context, so they can deliver personalized and coherent interactions across sessions. You’ll see: How to create and manage memory resources using the AgentCore SDK, including setting up short‑term memory for in-session context and long‑term memory for semantic facts and user preferences.

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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.

Amazon Aurora DSQL is the fastest serverless distributed SQL database for always available applications. Aurora DSQL offers the fastest multi-Region reads and writes. It makes it effortless for customers to scale to meet any workload demand with zero infrastructure management and zero downtime maintenance. With its active-active distributed architecture, Aurora DSQL ensures strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability.

Chris Shea and Trevor Spires sit down to discuss MCP, including how they've used the AWS API MCP Server and MCP support for the Q Developer CLI to help with a variety of usecases ranging from diagram creation to slide deck generation. Get started with Q Developer today at http://go.aws/45WbRaG Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.

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Chris Shea and Zelle Steyn meet to discuss Agentic AI on AWS, including how they've used Bedrock Agents and Bedrock AgentCore to invent and simplify in the Advertising Technology space. Get started with Amazon Bedrock AgentCore in preview today at http://go.aws/4gLhsVb Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.

Get started with Generative AI building with Cloud Quest: Generative AI Practitioner for free on AWS Skill Builder. As a Generative AI Practitioner, you use AWS generative AI services—Amazon Bedrock, Amazon Q Developer, and Amazon SageMaker AI—to build AI solutions for enterprises. Through image-based instructions for assignments, you gain experience with foundation models, implement RAG knowledge assistants, develop chat assistants, and integrate AI services across applications.