AWS DevOps & Developer Productivity Blog
Author: Brendan Jenkins
Brendan Jenkins is a solutions architect working with new AWS customers coming to the cloud providing them with technical guidance and helping achieve their business goals. He has an area of interest around DevOps and Machine Learning technology. He enjoys building solutions for customers whenever he can in his spare time.
New and improved Amazon Q Developer experience in the AWS Management Console and chat applications
Amazon Q Developer just launched a new agentic experience within the AWS Management Console, that enables builders to get deeper insights about their AWS resources and improve their operational troubleshooting efficiency. This expands the agentic capabilities of Amazon Q Developer from both the integrated development environment (IDE) and command line interface (CLI) to the AWS […]
Learning AWS best practices from Amazon Q in the Console
Operators, administrators, developers, and many other personas leveraging AWS come across multiple use cases and common issues such as lack of permissions, bugs in code in AWS Lambda, and more when leveraging the AWS console. To help alleviate this burden when using the console, AWS released Amazon Q to assist with users accessing the console […]
Expanded resource awareness in Amazon Q Developer
Recently, Amazon Q Developer announced expanded support for account resource awareness with Amazon Q in the AWS Management Console and the AWS Mobile Application. This is coupled with the general availability of Amazon Q Developer in AWS Chatbot, enabling you to ask questions from Microsoft Teams or Slack. Additionally, Amazon Q will now provide context-aware assistance for […]
Five troubleshooting examples with Amazon Q
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.
Quickly go from Idea to PR with CodeCatalyst using Amazon Q
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 […]
Best Practices for Prompt Engineering with Amazon CodeWhisperer
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 […]
Deliver Operational Insights to Atlassian Opsgenie using DevOps Guru
As organizations continue to grow and scale their applications, the need for teams to be able to quickly and autonomously detect anomalous operational behaviors becomes increasingly important. Amazon DevOps Guru offers a fully managed AIOps service that enables you to improve application availability and resolve operational issues quickly. DevOps Guru helps ease this process by […]