Category: Artificial Intelligence

In the evolving landscape of autonomous systems, multi-agent collaboration is becoming not only feasible but necessary. As agents gain more capabilities, like advanced reasoning, adaptation, and tool use, the challenge shifts from individual performance to effective coordination. The question is no longer “can an agent solve a task?” but “how do we organize execution across […]

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, […]

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 […]

Coding agents powered by large language models have shown impressive capabilities in software engineering tasks, but evaluating their performance across diverse programming languages and real-world scenarios remains challenging. This led to a recent explosion in benchmark creation to assess the coding effectiveness of said systems in controlled environments. In particular, SWE-Bench which measures the performance […]