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Learn how Amazon developers achieve real productivity gains using Amazon Q Developer, an AI-powered coding assistant. This code talk demonstrates proven techniques for accelerating development workflows using Prompt-Driven Development and Agent Scripts. Through live examples, learn how development teams cut feature development time from weeks to days while maintaining code quality. Discover practical strategies for leveraging these patterns in both familiar and new codebases.

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Rust's safety, performance, and reliability make it an ideal choice for cloud applications on AWS. From Amazon Aurora DSQL to AWS Firecracker and AWS Bottlerocket, AWS has demonstrated Rust's capabilities in critical infrastructure. This session explores practical applications of Rust, demonstrating serverless implementations and concurrent processing patterns. Discover how Rust's memory safety and efficient abstractions enhance AWS applications.

Excited about the launch of Kiro powers? This Lightning Talk will present an overview of how the powers dynamically transform AI agents into experts. Learn more: More AWS events: https://go.aws/3kss9CP 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.

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.

Developers, join an epic journey as we follow a humble backlog item through the winding path of the software development lifecycle from user story to deployment. Most developers spend less than an hour per day writing code. So why do focus so much attention on using AI to write code faster? In this session you will learn how Kiro CLI can help you with every stage of the SDLC. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Join hosts MJ Zulueta and Tamara Gagliardi as they explore AI-DLC with guest Titi Ogundeji, who reveals how this transformative approach positions AI as a central collaborator throughout the entire software development lifecycle. Discover how AI-DLC differs from traditional SDLC methodologies and learn practical implementation strategies that can get your team started in just one day.

Attention developers! Are you looking to streamline your workflow and boost your productivity? Join us as we dive into the world of Amazon Q Developer CLI Custom Agents. In this practical tutorial, we'll start by introducing you to the fundamentals of Amazon Q Developer CLI and its custom agent capabilities. You'll discover how to define, create, and manage both project (local) and global agents, with a focus on some best practices and examples.

Discover advanced strategies for implementing Apache Iceberg on AWS, focusing on Amazon S3 Tables and integration of Iceberg Rest Catalog with the lakehouse in Amazon SageMaker. We'll cover performance optimization techniques for Amazon Athena and Amazon Redshift queries, real-time processing using Apache Spark, and integration with Amazon EMR, AWS Glue, and Trino. Explore practical implementations of zero-ETL, change data capture (CDC) patterns, and medallion architecture.

Watch the full episode at https://go.aws/4nARmq2 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 https://aws.amazon.com/q/developer/ Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.

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.

Amazon Quick Sight delivers AI-powered business intelligence within Quick, 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. Learn more: https://aws.