AWS DevOps & Developer Productivity Blog
Amazon Q Developer plugins now generally available for the AWS Management Console
Today, Amazon Web Services (AWS) announced the launch and general availability of Amazon Q Developer plugins for Datadog and Wiz in the AWS Management Console. When chatting with Amazon Q in the console, customers can access a subset of information from Datadog and Wiz services using natural language. Ask questions like @datadog do I have […]
Peek inside your AWS CloudFormation Deployments with timeline view
AWS CloudFormation makes it easy to model and provision your cloud application infrastructure as code. CloudFormation templates can be written directly in JSON or YAML, or they can be generated by tools like the AWS Cloud Development Kit (CDK). These templates are submitted to the CloudFormation service and the resources are deployed together as stacks, […]
How Amazon Q reduced the time Amazon developers spent waiting for technical answers by 450k hours this year
Introduction Software development is complex and time consuming. Developers frequently need to stop building to get answers to hard, technical questions. What is the error in my code? How do I debug the logic? Where do I go to find this information? In 2024 Stack Overflow Developer Survey 53% of respondents agreed that waiting on […]
A new AWS CDK L2 construct for Amazon CloudFront Origin Access Control (OAC)
Recently, we launched a new AWS Cloud Development Kit (CDK) L2 construct for Amazon CloudFront Origin Access Control (OAC). This construct simplifies the configuration and maintenance of securing Amazon Simple Storage Service (Amazon S3) CloudFront origins with CDK. Launched in 2022, OAC is the recommended way to secure your CloudFront distributions due to additional security features compared […]
Using Semantic Versioning to Simplify Release Management
Any organization that manages software libraries and applications needs a standardized way to catalog, reference, import, fix bugs and update the versions of those libraries and applications. Semantic Versioning enables developers, testers, and project managers to have a more standardized process for committing code and managing different versions. It’s benefits also extend beyond development teams […]
Leverage Amazon Q Developer and AWS Chatbot within Slack
The release of Amazon Q Developer and its ability to be integrated into AWS Chatbot allows users who use Microsoft Teams or Slack to stay within their communication platform and interact with a conversational generative artificial intelligence (AI) AWS expert. Amazon Q Developer is a conversational generative AI chatbot that provides AWS assistance in the form of […]
Diving Deeper into Projen: Exploring Advanced Features
We will be highlighting Projen’s powerful features that cater to various aspects of project management and development. We’ll examine how Projen enhances polyglot programming within Amazon Web Services (AWS) Cloud Development Kit constructs. We’ll also touch on its built-in support for common development tools and practices. In our previous blog, we introduced you to the […]
Introducing the next-level of AI-powered workflows with Amazon Q Developer inline chat
Earlier today, Amazon Q Developer announced support for inline chat. Inline chat combines the benefits of in-IDE chat with the ability to directly update code, allowing developers to describe issues or ideas directly in the code editor, and receive AI-generated responses that are seamlessly integrated into their codebase. In this post, I will introduce the […]
Introducing the new Amazon Q Developer experience in AWS Lambda
AWS Lambda recently announced a new code editor based on Code-OSS. Like the previous version, the new editor includes Amazon Q Developer. Amazon Q Developer is a generative AI-powered assistant for software development that can help you build and debug Lambda functions more quickly. In this post, I provide an overview of Amazon Q Developer’s […]
Enhance release control with AWS CodePipeline stage-level conditions
It’s an established practice for development teams to build deployment pipelines, with services such as AWS CodePipeline, to increase the quality of application and infrastructure releases through reliable, repeatable and consistent automation. Automating the deployment process helps build quality into our products by introducing continuous integration to build and test code, however enterprises may sometimes […]