Tag: Developer Tools

This post is co-written with Dr. Geoff Ryder, Manager, at SmugMug. Introduction SmugMug operates two very large online photo platforms: SmugMug and Flickr. These platforms enable more than 100 million customers to safely store, search, share, and sell tens of billions of photos every day. However, the data science and engineering team at SmugMug and […]

Amazon Q Developer Agent for code transformation is an AI-powered tool which modernizes code bases from Java 8 and Java 11 to Java 17. Integrated into VS Code and IntelliJ, Amazon Q simplifies the migration process and reduce the time and effort compared to manual process. It proposes and verifies code changes, using AI to […]

In today’s cloud-driven world, maintaining compliance and enforcing organizational policies across your infrastructure is more critical than ever. AWS CloudFormation, a service that enables you to model, provision, and manage AWS and third-party resources through Infrastructure as Code (IaC), has been a cornerstone for automating cloud deployments. While CloudFormation simplifies resource management, ensuring compliance with […]

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 […]

A primary objective of software developers is to develop products that uphold the highest standards of data privacy and security, fostering trust and confidence among their users and customers. Developers seek to secure their software by identifying and mitigating security vulnerabilities in their codebase, thereby enhancing its resilience against cyber threats. Amazon Q Developer, a […]

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 […]

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 […]

This post demonstrates how Amazon Q Developer, a generative AI-powered assistant for software development, helps create Terraform templates. Terraform is an infrastructure as code (IaC) tool that provisions and manages infrastructure on AWS safely and predictably. When used in an integrated development environment (IDE), Amazon Q Developer assists with software development, including code generation, explanation, […]

In this post, we guide you through five common components of efficient code debugging. We also show you how Amazon Q Developer can significantly reduce the time and effort required to manually identify and fix errors across numerous lines of code. With Amazon Q Developer on your side, you can focus on other aspects of […]

Today, Amazon Web Services (AWS) announced the release of workspace context awareness in Amazon Q Developer chat. By including @workspace in your prompt, Amazon Q Developer will automatically ingest and index all code files, configurations, and project structure, giving the chat comprehensive context across your entire application within the integrated development environment (IDE). Throughout the […]