AWS DevOps & Developer Productivity Blog
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Boosting Unit Test Automation at Audible with Amazon Q Developer
Audible, an Amazon company, is a leading producer and provider of audio storytelling. With a vast library of over 1,000,000 titles including audiobooks, podcasts, and Audible Originals with specific curated offerings available in each marketplace, Audible makes it easy to transform everyday moments into extraordinary opportunities for learning, imagination, and entertainment through immersive audio experiences. […]
StackSets Deployment Strategies: Balancing Speed, Safety, and Scale to Optimize Deployments for Different Organizational Needs
AWS CloudFormation StackSets enables organizations to deploy infrastructure consistently across multiple AWS accounts and regions. However, success depends on choosing the right deployment strategy that balances three critical factors: deployment speed, operational safety, and organizational scale. This guide explores proven StackSets deployment strategies specifically designed for multi-account infrastructure management. Understanding StackSets Deployment Fundamentals What are […]
Moeve: Controlling resource deployment at scale with AWS CloudFormation Guard Hooks
This post is co-written with Rayco Martínez Hernández, Head of Cloud Governance at Moeve. Moeve, formerly known as Cepsa, is a global integrated energy company with over 90 years of experience and more than 11,000 employees. Moeve is committed to driving Europe’s energy transition and accelerating decarbonization efforts. The company has embraced digital transformation to […]
Multi-Cloud Code Deployments using Amazon Q Developer with Echo3D
Overview Founded in 2018, echo3D built a revolutionary 3D digital asset management (DAM) platform to address the surging demand for immersive content across industries. The company’s platform enables enterprises to seamlessly store, secure, optimize, and share 3D content, serving over 200,000 professionals across energy, healthcare, gaming, retail, and beyond. echo3D’s platform has become the go-to […]
AWS named as a Leader in the 2025 Gartner Magic Quadrant for AI Code Assistants
We are excited to share that AWS has been named a Leader in the 2025 Gartner Magic Quadrant for AI Code Assistants for the second year in row. This recognition highlights for us Amazon Q Developer’s commitment to innovation and delivering exceptional customer experiences. We believe this Leader placement showcases our rapid pace of innovation, […]
Introducing universal installers for AWS CLI v2 on macOS
Amazon Web Services (AWS) is announcing the availability of universal macOS installers for the AWS Command Line Interface (AWS CLI) v2. What’s new Starting with AWS CLI v2 version 2.30.0, the AWS CLI installers will provide universal binary support for macOS that works natively on both Apple silicon and Intel processors with a single download. […]
Introducing an Interactive Code Review Experience with Amazon Q Developer in GitHub
Code reviews are one of the most valuable rituals in software development. They help ensure quality, maintain consistency, and foster growth as engineers. But they’re also one of the most time consuming steps in the software development lifecycle. A common pattern I’ve seen is a developer opening a pull request (PR), receiving automated or peer […]
Announcing the end-of-support for the AWS SDK for .NET v3
We are announcing the end-of-support for the AWS SDK for .NET v3.x starting on March 1, 2026, in accordance with the SDK and Tools maintenance policy. On April 28, 2025, the next major version of the AWS SDK for .NET, version 4.x, became generally available (blog post). Version 4.x of the SDK includes bug fixes, […]
Introducing AWS Cloud Control API MCP Server: Natural Language Infrastructure Management on AWS
Today, we’re officially announcing the AWS Cloud Control API (CCAPI) MCP Server. This MCP server transforms AWS infrastructure management by allowing developers to create, read, update, delete, and list resources using natural language. As part of the awslabs/mcp project, this new and innovative tool serves as a bridge between natural language commands and AWS infrastructure […]
Flexibility to Framework: Building MCP Servers with Controlled Tool Orchestration
MCP (Model Context Protocol) is a protocol designed to standardize interactions with Generative AI models, making it easier to build and manage AI applications. It provides a consistent way to communicate context with different types of models, regardless of where they’re hosted or how they’re implemented. The protocol helps bridge the gap between model deployment […]