Tag: AI/ML

Introduction: Repository-Level Code Migration Code migration is a repository-level transformation process that modernizes entire software projects to run on new platforms, frameworks, or runtime environments while preserving their original functionality and structure. Rather than focusing on isolated files or APIs, it operates across the full repository, spanning source code, dependencies, build systems, and configuration files […]

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. […]

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 […]

As a developer who has embraced the power of the Model Context Protocol (MCP)to enhance my workflows, I’m thrilled to see the addition of custom agents in the Amazon Q Developer CLI. This new feature takes the capabilities I’ve come to rely on to a whole new level, allowing me to seamlessly manage different development […]

Infrastructure alerts pose a challenge for DevOps teams, particularly when they occur outside of regular business hours. The complexity isn’t merely in receiving notifications, it lies in rapidly assessing their severity and determining the root cause. This challenge is compounded when upstream service disruptions cascade into multiple downstream alerts, creating a confusion of notifications that […]

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 […]

Today marks an exciting milestone for Eclipse developers everywhere: we’re thrilled to announce the public preview of Amazon Q Developer in the Eclipse IDE. This integration brings the power of AI-driven development directly into one of the most popular development environments. In this blog post, we’ll explore some of its game-changing features, and show you […]

We are excited to announce the general availability of the cost analysis capability in Amazon Q Developer. This powerful feature integrates Q Developer’s natural language processing capabilities with AWS Cost Explorer, revolutionizing how you analyze and understand your AWS costs. Initially launched in preview on April 30, 2024, the Amazon Q cost analysis capability now offers enhanced […]

Recently, Amazon Q Developer announced expanded support for account resource awareness with Amazon Q in the AWS Management Console  and the AWS Mobile Application. This is coupled with the general availability of Amazon Q Developer in AWS Chatbot, enabling you to ask questions from Microsoft Teams or Slack. Additionally, Amazon Q will now provide context-aware assistance for […]

Earlier today, Amazon Q Developer announced support for inline chat. Inline chat combines the benefits of in-IDE chat with the ability to directly update code, allowing developers to describe issues or ideas directly in the code editor, and receive AI-generated responses that are seamlessly integrated into their codebase. In this post, I will introduce the […]