AWS DevOps & Developer Productivity Blog

Use the latest AWS innovations with the new AWS Cloud Control provider for Pulumi

We are pleased to announce the general availability of the AWS Cloud Control provider for Pulumi, an modern infrastructure management platform, which allows our customers to adopt AWS innovations faster than ever before. AWS has consistently expanded its range of services to support any cloud workload, supporting over 200 fully featured services and introducing more […]

Accelerate application upgrades with Amazon Q Developer agent for code transformation

In this blog, we will explore how Amazon Q Developer Agent for code transformation accelerates Java application upgrades. We will examine the benefits of this Generative AI-powered agent and outline strategies to achieve maximal acceleration, drawing from real-world success stories and best practices. Benefits of using Amazon Q Developer to upgrade your applications Amazon Q […]

Exploring Telemetry Events in Amazon Q Developer

As organizations increasingly adopt Amazon Q Developer, understanding how developers use it is essential. Diving into specific telemetry events and user-level data clarifies how users interact with Amazon Q Developer, offering insights into feature usage and developer behaviors. This granular view, accessible through logs, is vital for identifying trends, optimizing performance, and enhancing the overall […]

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Accenture Expedites Infrastructure Deployment with Amazon Q Developer

By Priya Mallya, Managing Director – Accenture, Sandeep Singh Bhatia, Sr Manager – Accenture      Vikas Purohit – Sr. Solutions Architect – AWS Being able to internally setup and manage flexible, efficient infrastructure can be painful. Manually authoring your Infrastructure as Code (IaC) templates is error prone and time consuming. However, adoption of generative […]

Securing Your Software Supply Chain with Amazon CodeCatalyst and Amazon Inspector

Securing Your Software Supply Chain with Amazon CodeCatalyst and Amazon Inspector

Amazon CodeCatalyst is a unified service that streamlines the entire software development lifecycle, empowering teams to build, deliver, and scale applications on AWS. DevSecOps is the practice of integrating security into all stages of software development. Rather than prioritizing features, it injects security into an earlier phase of the development process – baking it into […]

Amazon ECS Multi-region Deployment with Amazon CodeCatalyst

Amazon ECS Multi-region Deployment with Amazon CodeCatalyst

Many AWS customers run their mission-critical workloads across multiple AWS regions to serve geographically dispersed customer base, meet disaster recovery objectives or address local laws and regulations. Amazon CodeCatalyst is a unified software development service designed to streamline and accelerate the process of building and delivering applications on AWS. It is an all-in-one platform for […]

Reinventing the Amazon Q Developer agent for software development

Amazon Q Developer is the most capable AI-powered assistant for software development that reimagines the experience across the entire software development lifecycle, making it easier and faster to build, secure, manage, and optimize applications on AWS. Using your natural language input and your project context, Amazon Q Developer’s agent for software development autonomously implements multi-file […]

Amazon Q Developer Code Challenge

Amazon Q Developer is a generative artificial intelligence (AI) powered conversational assistant that can help you understand, build, extend, and operate AWS applications. You can ask questions about AWS architecture, your AWS resources, best practices, documentation, support, and more. With Amazon Q Developer in your IDE, you can write a comment in natural language that […]

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Publish packages to AWS CodeArtifact using Amazon CodeCatalyst Actions

Amazon CodeCatalyst is a unified software development service for development teams to quickly build, deliver and scale applications on AWS while adhering to organization-specific best practices. Developers can automate development tasks and innovate faster with generative AI capabilities, and spend less time setting up project tools, managing CI/CD pipelines, provisioning and configuring various development environments […]