AWS DevOps & Developer Productivity Blog

Tag: Development

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 […]

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 […]

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GitOps continuous delivery with ArgoCD and EKS using natural language

Introduction ArgoCD is a leading GitOps tool that empowers teams to manage Kubernetes deployments declaratively, using Git as the single source of truth. Its robust feature set, including automated sync, rollback support, drift detection, advanced deployment strategies, RBAC integration, and multi-cluster support, makes it a go-to solution for Kubernetes application delivery. However, as organizations scale, […]

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Streamline Operational Troubleshooting with Amazon Q Developer CLI

Amazon Q Developer is the most capable generative AI–powered assistant for software development, helping developers perform complex workflows. Amazon Q Developer command-line interface (CLI) combines conversational AI with direct access to AWS services, helping you understand, build, and operate applications more effectively. The Amazon Q Developer CLI executes commands, analyzes outputs, and provides contextual recommendations […]

Use Model Context Protocol with Amazon Q Developer for context-aware IDE workflows

Use Model Context Protocol with Amazon Q Developer for context-aware IDE workflows

Earlier today, Amazon Q Developer announced Model Context Protocol (MCP) support in their Integrated Development Environment (IDE) plugins for Visual Studio Code and JetBrains. This allows developers to connect external tools or MCP servers to Q Developer, enabling more context-aware responses and complex workflows. MCP support has already been available in Amazon Q Developer for […]

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Amazon Q Developer Java Upgrades: A Deep Dive into the New Selective Transformation Feature

In the ever-evolving landscape of Java development, keeping applications up-to-date while minimizing risk has become increasingly challenging. Amazon Q Developer transformation capabilities now support customization of Java upgrades in Java upgrade transformation CLI (command line interface) with a new selective transformation feature. Selective transformation empowers development teams with greater control over their modernization journey. Instead […]

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Access Claude Sonnet 4 in Amazon Q Developer CLI

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 […]

Streamline your Eclipse workflows with Amazon Q Developer, now generally available

Today, we’re excited to announce the general availability of Amazon Q Developer plugin for the Eclipse integrated development environments (IDE). This release builds upon the developer experience introduced in our November 2024 public preview, bringing powerful AI-assisted development capabilities directly into Eclipse 2025-03(4.35.0) and later versions. The integration significantly improves how developers write, test, and maintain […]

Introducing an agentic coding experience in Visual Studio and JetBrains IDEs

Developers spend countless hours on repetitive tasks like debugging code, writing unit tests, and validating build processes – time that could be better spent on innovation and problem-solving. To address these challenges, Amazon Q Developer has expanded its intelligent coding assistant capabilities to Visual Studio and JetBrains Integrated development environments (IDEs). This new agentic experience […]