Category: Amazon Q

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 […]

According to the Well-Architected DevOps Guidance, “A peer review process for code changes is a strategy for ensuring code quality and shared responsibility. To support separation of duties in a DevOps environment, every change should be reviewed and approved by at least one other person before merging.” Development teams often implement the peer review process […]

Overview In this blog post, I’ll explain how to use a Microsoft Entra ID and Visual Studio Code editor to access Amazon Q developer service and speed up your development. Additionally, I’ll explain how to minimize the time spent on repetitive tasks and quickly integrate users from external identity sources so they can immediately use […]

Introduction In the rapidly evolving landscape of Generative AI, the ability to deploy and iterate on features quickly and reliably is paramount. We, the Amazon Q Developer service team, relied on several offline and online testing methods, such as evaluating models on datasets, to gauge improvements. Once positive results are observed, features were rolled out […]

“All code will become legacy”. This saying, widely recognized amongst software developers, highlights the reality of their day-to-day activities. While writing new code is an integral part of a developer’s role, a significant portion of their time is dedicated to refactoring and maintaining existing codebases. Developers typically encounter numerous challenges when attempting to understand and […]

Writing clear and concise Git commit messages is crucial for effective version control and collaboration. However, when working with complex projects or codebases, providing additional context can be challenging. In this blog post, we’ll explore how to leverage Amazon Q Developer to analyze our code changes for us and produce meaningful commit messages for Git. […]

“Be yourself; everyone else is already taken.” -Oscar Wilde In the real world as in the world of technology and authentication, the ability to understand who we are is important on many levels. In this blog post, we’ll look at how the ability to uniquely identify ourselves in the AWS console can lead to a […]

Did you know that Amazon Q Developer, a new type of Generative AI-powered (GenAI) assistant, can help developers and DevOps engineers accelerate Infrastructure as Code (IaC) development using the AWS Cloud Development Kit (CDK)? IaC is a practice where infrastructure components such as servers, networks, and cloud resources are defined and managed using code. Instead […]

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, […]

Testing code is a fundamental step in the field of software development. It ensures that applications are reliable, meet quality standards, and work as intended. Automated software tests help to detect issues and defects early, reducing impact to end-user experience and business. In addition, tests provide documentation and prevent regression as code changes over time. […]