AWS DevOps & Developer Productivity Blog

Category: Uncategorized

Title image for the "AWS CloudFormation Deployment timeline view" blog

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 […]

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 […]

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 […]

Accelerate application upgrades with Amazon Q Developer agent for code transformation

In this blog, we will explore how Amazon Q Developer Agent for code transformation accelerates Java application upgrades. We will examine the benefits of this Generative AI-powered agent and outline strategies to achieve maximal acceleration, drawing from real-world success stories and best practices. Benefits of using Amazon Q Developer to upgrade your applications Amazon Q […]

Reinventing the Amazon Q Developer agent for software development

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 […]