Category: Artificial Intelligence

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.

Amazon Q feature development enables teams using Amazon CodeCatalyst to scale with AI to assist developers in completing everyday software development tasks. Developers can now go from an idea in an issue to a fully tested, merge-ready, running application code in a Pull Request (PR) with natural language inputs in a few clicks. Developers can […]

Maximizing the value from Enterprise Software tools requires an understanding of who and how users interact with those tools. As we have worked with builders rolling out Amazon CodeWhisperer to their enterprises, identifying usage patterns has been critical. This blog post is a result of that work, builds on Introducing Amazon CodeWhisperer Dashboard blog and […]

A Case Study Presented by CodeWhisperer Customizations Amazon CodeWhisperer is an AI-powered coding assistant that is trained on a wide variety of data, including Amazon and open-source code. With the launch of CodeWhisperer Customizations, customers can create a customization resource. The customization is produced by augmenting CodeWhisperer using a customer’s private code repositories. This enables […]

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 […]

Code coverage is a code quality metric leveraging unit tests. Coming up with test cases with every combination of parameters requires developer’s time, which is already scarce. Developers’ focus is (mis)directed at just meeting the coverage threshold. In doing so, quality of code may be compromised and resulting code may still result in unexpected outcomes. […]

Generative AI coding tools are changing the way developers accomplish day-to-day development tasks. From generating functions to creating unit tests, these tools have helped customers accelerate software development. Amazon CodeWhisperer is an AI-powered productivity tools for the IDE and command line that helps improve developer productivity by providing code recommendations based on developers’ natural language […]

Enterprises are constantly seeking ways to accelerate their journey to the cloud. Infrastructure as code (IaC) is crucial for automating and managing cloud resources efficiently. The AWS Cloud Development Kit (AWS CDK) lets you define your cloud infrastructure as code in your favorite programming language and deploy it using AWS CloudFormation. In this post, we […]

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 […]