AWS DevOps Blog

Category: Generative AI

AWS announces workspace context awareness for Amazon Q Developer chat

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 […]

Amazon transform blog cover page

Three ways Amazon Q Developer agent for code transformation accelerates Java upgrades

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 […]

Announcing Generative AI CDK Constructs

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

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 […]

Using Generative AI, Amazon Bedrock and Amazon CodeGuru to Improve Code Quality and Security

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 […]