Amazon Q in Practice: How AI Is Transforming My AWS Workflow Between the Console and VS Code

As an AWS enthusiast, software architect, and developer, I’m deeply involved with tooling. For some time now, my focus has been particularly on AI tools—not only as a support for software development, but also from the perspective of engineering and process optimization. Whether in a professional context or in personal projects, AI has become indispensable to me. I have always viewed AI tools as instruments that can make our lives easier. Since 2026, I have been an AWS Community Builder in the “Serverless” category, as this is where my developer’s heart lies and most of my projects are built on AWS serverless services. However, this article is less about serverless itself and more about dev tools—specifically Amazon Q, both in the IDE (VS Code) and in the AWS Management Console. What is Amazon Q? Amazon Q is an AI assistant that can be used both in the IDE and in the AWS Management Console. In addition, Amazon Q Business is a version that can be integrated with various business tools (