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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.

Amazon Aurora is a fully managed database built for the cloud, providing unparalleled high performance and availability at global scale for PostgreSQL, MySQL, and DSQL. Aurora has 5x the throughput of MySQL and 3x of PostgreSQL with full PostgreSQL and MySQL compatibility. Aurora also offers DSQL, the fastest distributed SQL database that is PostgreSQL-compatible. Aurora is designed for up to 99.999% multi-Region availability.

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.

Watch this video to discover how AWS Transform is revolutionizing mainframe application modernization. Powered by agentic AI trained on AWS's unmatched domain expertise, AWS Transform accelerates and simplifies the transformation of IBM z/OS applications from years to months. Learn how organizations are modernizing legacy mainframe applications faster, reducing complexity and costs, and delivering better outcomes.

Learn how to use Artificial Intelligence for IT Operations (AIOps) to automate and enhance IT operations. Solutions Architect, Biswanath Mukherjee, joins Eric Johnson to show how you can use AI to manage and monitor large-scale systems by automatically detecting, diagnosing, and resolving incidents in real-time.

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 build real AI applications using Amazon Bedrock from scratch! This tutorial covers everything from basic API calls to advanced AI agents with RAG, tool use, and guardrails. Perfect for developers moving from AI user to AI builder. Github Repo: https://go.aws/4tKvhbr Follow AWS Developers! 🆇 X: https://go.aws/4tKvhIt 💼 LinkedIn: https://go.aws/4tKvjjz 0:00 Introduction to Amazon Bedrock 1:01 What is Amazon Bedrock?

Explore the cutting edge of AI with Strands Agents—autonomous systems that evolve and learn continuously. We'll demonstrate advanced agents that can identify knowledge gaps, self-modify reasoning strategies, and dynamically build tools. These systems learn from interactions, improving decision-making without human intervention while communicating through multiple protocols and real-time, bi-directional streaming.

Discover how AWS simplifies post-quantum cryptography (PQC) implementation to protect your data from future quantum computing threats. Join AWS's PQC team for a comprehensive overview as we demystify PQC, presenting it as a natural evolution of existing security practices. Learn about AWS's quantum-safe strategy, explore real customer implementations, and understand emerging PQC standards and timelines.

Discover the future of software development as we explore the transformative power of agents with Amazon Bedrock AgentCore and Kiro’s spec-driven development in modernizing your entire software development lifecycle (SDLC). Agentic AI is impacting software development by automating tasks, improving efficiency, and enabling more autonomous workflows throughout the development lifecycle.

In this exclusive interview, Dataminr's Chief Product Officer reveals how they're processing 43TB of daily data—950 years worth of reading—to deliver the world's fastest threat and risk intelligence. Learn about their innovative Intel Agents technology, how they serve half of the Fortune 100, and how AWS Inferentia is helping them slash AI costs by over 30% while boosting performance across computer vision and language processing at unprecedented scale. Subscribe to AWS: https://go.

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