Category: Generative AI

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 […]

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 […]

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 […]

When Amazon Web Services (AWS) launched Amazon Q Developer agent for code transformation as a preview last year to upgrade Java applications, we saw many organizations desire to significantly accelerate their Java upgrades. Previously, these upgrades were considered daunting, a time-consuming manual task requiring weeks if not months of effort and with Amazon Q Developer they […]

Accelerate your workflow using Amazon Q to provide in-depth analysis and step-by-step guidance. Troubleshoot and resolve common issues across AWS services like EC2, VPC, IAM, Lambda, and S3.

Announced by Werner Vogels in his 2023 re:Invent Keynote, Generative AI CDK Constructs, an open-source extension of the AWS Cloud Development Kit (AWS CDK), provides well-architected multi-service patterns to quickly and efficiently create repeatable infrastructure required for generative AI projects on AWS. Our initial release includes five CDK constructs enabling key generative AI capabilities like […]

Your DevOps and Developer Productivity guide to re:Invent 2023 ICYMI – AWS re:Invent is less than a week away! We can’t wait to join thousands of builders in person and virtually for another exciting event. Still need to save your spot? You can register here. With so much planned for the DevOps and Developer Productivity […]

Automated code analysis plays a key role in improving code quality and compliance. Amazon CodeGuru Reviewer provides automated recommendations that can assist developers in identifying defects and deviation from coding best practices. For instance, CodeGuru Security automatically flags potential security vulnerabilities such as SQL injection, hardcoded AWS credentials and cross-site request forgery, to name a […]