AWS DevOps & Developer Productivity Blog

AWS Cloud Development Kit (CDK) Launches Refactor

We are excited to announce a new AWS Cloud Development Kit (CDK) feature that makes it easier and safer to refactor your infrastructure as code. CDK Refactor aims to preserve your AWS resources as you rename constructs, move resources between stacks, and reorganize your CDK applications – operations that previously risked resource replacement. When writing […]

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 […]

Measuring Developer Productivity with Amazon Q Developer and Jellyfish

Modern software development teams face increasing pressure to deliver high-quality code faster, while managing growing system complexity. Developers often spend significant time on necessary, but undifferentiated work, or “toil”. Toil is often manual, repetitive, and of limited enduring value, making it a strong candidate for automation or delegation to generative AI tools. The re:Invent 2024 […]

Mastering Amazon Q Developer with Rules

When I first started working with Amazon Q Developer, I was impressed by its capabilities, but I quickly found myself in a familiar pattern. Development teams using AI assistants face a common challenge: repeatedly explaining coding standards, workflow preferences, and established patterns in every conversation. This repetitive setup reduces productivity and creates inconsistent AI guidance […]

CCAPI MCP Server Launch Blog Featured Image

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 […]

AI-Driven Development Life Cycle: Reimagining Software Engineering

Business and technology leaders are constantly striving to improve productivity, increase velocity, foster experimentation, reduce time-to-market (TTM), and enhance the developer experience. These North Star goals drive innovation in software development practices. This innovation is increasingly being powered by artificial intelligence. Particularly, generative AI powered tools such as Amazon Q Developer and Kiro have already […]