AWS DevOps & Developer Productivity Blog
Tag: AI/ML
Leverage powerful generative-AI capabilities for Java development in the Eclipse IDE public preview
Today marks an exciting milestone for Eclipse developers everywhere: we’re thrilled to announce the public preview of Amazon Q Developer in the Eclipse IDE. This integration brings the power of AI-driven development directly into one of the most popular development environments. In this blog post, we’ll explore some of its game-changing features, and show you […]
Analyzing your AWS Cost Explorer data with Amazon Q Developer: Now Generally Available
We are excited to announce the general availability of the cost analysis capability in Amazon Q Developer. This powerful feature integrates Q Developer’s natural language processing capabilities with AWS Cost Explorer, revolutionizing how you analyze and understand your AWS costs. Initially launched in preview on April 30, 2024, the Amazon Q cost analysis capability now offers enhanced […]
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 […]
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 […]
Directing ML-powered Operational Insights from Amazon DevOps Guru to your Datadog event stream
Amazon DevOps Guru is a fully managed AIOps service that uses machine learning (ML) to quickly identify when applications are behaving outside of their normal operating patterns and generates insights from its findings. These insights generated by DevOps Guru can be used to alert on-call teams to react to anomalies for business mission critical workloads. […]
DevSecOps with Amazon CodeGuru Reviewer CLI and Bitbucket Pipelines
DevSecOps refers to a set of best practices that integrate security controls into the continuous integration and delivery (CI/CD) workflow. One of the first controls is Static Application Security Testing (SAST). SAST tools run on every code change and search for potential security vulnerabilities before the code is executed for the first time. Catching security […]
10 ways to build applications faster with Amazon CodeWhisperer
Amazon CodeWhisperer is a powerful generative AI tool that gives me coding superpowers. Ever since I have incorporated CodeWhisperer into my workflow, I have become faster, smarter, and even more delighted when building applications. However, learning to use any generative AI tool effectively requires a beginner’s mindset and a willingness to embrace new ways of […]
Automating detection of security vulnerabilities and bugs in CI/CD pipelines using Amazon CodeGuru Reviewer CLI
Watts S. Humphrey, the father of Software Quality, had famously quipped, “Every business is a software business”. Software is indeed integral to any industry. The engineers who create software are also responsible for making sure that the underlying code adheres to industry and organizational standards, are performant, and are absolved of any security vulnerabilities that […]