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In this episode, you'll learn how to implement AWS's AI-Driven Development Life Cycle (AI-DLC), a structured methodology that integrates AI throughout software development while maintaining human oversight. We'll demonstrate key aspects of the AI-DLC workflow, focusing on the Inception phase where AI-DLC performs workspace detection, requirements analysis, and workflow planning using the Plan-Execute pattern.

In this session, learn how Kiro is helping you go from idea to production faster with spec-driven development. Learn how to delagate and automate development tasks using Kiro's agent hooks, multimodal agent chat and MCP support. We'll show you how Kiro’s agents challenge you to think beyond the code and work alongside you to solve hard engineering problems with confidence. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Claude Code is an agentic coding tool by Anthropic that helps you build features, fix bugs, and automate development tasks. But some developers can't use it due to data residency, compliance, or billing requirements. With Amazon Bedrock, you can run Claude Code with your data staying entirely within AWS — no data leaving your infrastructure.

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Amazon Bedrock is a comprehensive, secure, and flexible platform for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs), services to deploy and operate agents, and tools for fine-tuning, safeguarding, and optimizing models along with knowledge bases to connect applications to your latest data so that you have everything you need to quickly move from experimentation to real-world deployment. Learn more about Amazon Bedrock: http://go.

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. The session demonstrates how Kiro accelerates building AI agent development with MCP servers, while exploring Amazon Bedrock AgentCore for AWS deployment.

AWS Lambda durable functions enhances Lambda's programming model to simplify building fault-tolerant applications using familiar programming language patterns in JavaScript, TypeScript, or Python. We'll explore new capabilities that simplify failure handling through built-in retry mechanisms, efficient handling of human-in-the-loop interactions, and state management to track progress.

Getting a production-grade Kubernetes cluster shouldn't require touching half a dozen AWS services. EKS Auto Mode changes that. Amazon EKS Auto Mode lets you go from zero to a production-grade Kubernetes cluster with a single click. In this conversation we dive deep into Amazon EKS Auto Mode, a fully managed Kubernetes experience that delivers a production-grade cluster with a single click, while still giving teams full control to customize when needed.

Amazon Quick Sight, a capability of Amazon Quick Suite, delivers AI-powered business intelligence that transforms data into strategic insights for everyone, enabling faster decisions and better business outcomes through unified intelligence, actionable analytics, and democratized data access. Quick Sight provides unified intelligence across all enterprise data sources, and bridges the critical "last-mile gap" between insights and action with built-in agents for research and automation.

Running user- or AI-generated code at scale? You shouldn’t have to choose between strong isolation and fast start-up speed. Introducing AWS Lambda MicroVMs. A new serverless compute primitive for isolated, stateful code execution at Lambda speed. Isolated Sandboxes: Every session gets its own dedicated sandbox. Firecracker-powered, VM-level isolation. No shared kernel, no shared memory. And no shared state between users.

AWS Transform is the first service to leverage specialized AI agents to simplify and accelerate modernization of Windows .NET applications, VMware systems, and mainframes, empowering customers to migrate up to 5x faster. At AWS re:Invent 2025, we launched new capabilities that enable rapid modernization of any code or application, so customers can reduce their legacy tech debt and shift valuable resources toward innovation with AWS Transform.

🤖 Skip complex configurations! Amazon Bedrock AgentCore MCP server lets you build production-ready AI agents through simple chat conversations. Add memory, security, and AWS deployment guidance instantly.