AWS DevOps & Developer Productivity Blog

Tag: Developer Tools

Multi-Cloud Code Deployments using Amazon Q Developer with Echo3D

Overview Founded in 2018, echo3D built a revolutionary 3D digital asset management (DAM) platform to address the surging demand for immersive content across industries. The company’s platform enables enterprises to seamlessly store, secure, optimize, and share 3D content, serving over 200,000 professionals across energy, healthcare, gaming, retail, and beyond. echo3D’s platform has become the go-to […]

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Accelerating AWS Infrastructure Deployment: A Practical Guide to Console-to-Code

In today’s cloud-first environment, Infrastructure as Code (IaC) has become crucial for managing cloud resources effectively. However, organizations often face significant challenges in adopting IaC practices, including steep learning curves, complex syntax requirements, and difficulty translating manual operations into code.  Amazon Q Developer‘s Console-to-Code feature addresses these challenges by providing an intuitive bridge between manual AWS […]

Multi Agent Collaboration with Strands

Multi Agent Collaboration with Strands

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 […]

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 […]

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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 […]