Category: Generative AI

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 […]

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 […]

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 […]

Amazon Q Developer now supports Claude Sonnet 4 within the CLI, bringing advanced coding and reasoning capabilities to your development workflows at no additional cost. This latest model excels in coding with a state-of-the-art 72.7% for agentic coding on the SWE-bench (see Claude 4 announcement for more information). With enhanced coding and reasoning capabilities, it […]

Amazon Q Developer just launched a new agentic experience within the AWS Management Console, that enables builders to get deeper insights about their AWS resources and improve their operational troubleshooting efficiency. This expands the agentic capabilities of Amazon Q Developer from both the integrated development environment (IDE) and command line interface (CLI) to the AWS […]

As organizations increasingly adopt AI-powered tools to enhance developer productivity, your ability to effectively communicate with these assistants becomes a valuable skill. This guide explores how you can craft prompts that deliver accurate, useful results when working with Amazon Q Developer. Your success with Amazon Q Developer depends directly on how well you communicate with […]

“Everything fails, all the time” – Werner Vogels, Amazon.com CTO In today’s digital landscape, designing applications with resilience in mind is crucial. Resiliency is the ability of applications to handle failures gracefully, adapt to changing conditions, and recover swiftly from disruptions. By integrating resilience into your application architecture, you can minimize downtime, mitigate the impact […]

Software runs the world – not just the new software applications built in modern languages and deployed on the most optimized cloud infrastructure, but also legacy software built over years and barely understood by the teams that inherit them. These legacy applications may have snowballed into monolithic blocks or may be fragmented across siloed on-premises […]

Introduction Software engineering stands at an inflection point. While previous technological shifts enhanced what developers could build, AI is fundamentally changing how we build. Amazon Q has driven a shift in how developers at Amazon approach software development. At re:Invent 2024, our breakout session Unleashing generative AI: Amazon’s journey with Amazon Q Developer (DOP214) shared […]

The release of Amazon Q Developer and its ability to be integrated into AWS Chatbot allows users who use Microsoft Teams or Slack to stay within their communication platform and interact with a conversational generative artificial intelligence (AI) AWS expert. Amazon Q Developer is a conversational generative AI chatbot that provides AWS assistance in the form of […]