AWS DevOps & Developer Productivity Blog
How A/B Testing and Multi-Model Hosting Accelerate Generative AI Feature Development in Amazon Q
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 […]
Use AWS CloudFormation Git sync to configure resources in customer accounts
AWS partners often have a requirement to create resources, such as cross-account roles, in their customers’ accounts. A good choice for consistently provisioning these resources is AWS CloudFormation, an Infrastructure as Code (IaC) service that allows you to specify your architecture in a template file written in JSON or YAML. CloudFormation also makes it easy […]
Code Clarity: Enhancing Code Understanding and Efficiency with Amazon Q Developer
“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 […]
Generating Accurate Git Commit Messages with Amazon Q Developer CLI Context Modifiers
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. […]
Implementing Identity-Aware Sessions with Amazon Q Developer
“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 […]
How to use Amazon Q Developer to deploy a Serverless web application with AWS CDK
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 […]
Amazon Q Developer just reached a $260 million dollar milestone
To help them be more productive, developers all over the world are turning to generative AI-powered assistants like Amazon Q Developer, the most capable assistant for accelerating software development. While Amazon Q Developer is great at providing code suggestions, writing new code is one of many things developers have to do on a day-to-day basis. […]
Accelerate your Terraform development with Amazon Q Developer
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, […]
Balance deployment speed and stability with DORA metrics
Development teams adopt DevOps practices to increase the speed and quality of their software delivery. The DevOps Research and Assessment (DORA) metrics provide a popular method to measure progress towards that outcome. Using four key metrics, senior leaders can assess the current state of team maturity and address areas of optimization. This blog post shows […]
Testing your applications with Amazon Q Developer
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. […]