AWS DevOps & Developer Productivity Blog
Category: Java
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 […]
Dissecting the Performance Gains in Amazon Q Developer agent for code transformation
Amazon Q Developer Agent for code transformation is an AI-powered tool which modernizes code bases from Java 8 and Java 11 to Java 17. Integrated into VS Code and IntelliJ, Amazon Q simplifies the migration process and reduce the time and effort compared to manual process. It proposes and verifies code changes, using AI to […]
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 […]
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 […]
Three ways Amazon Q Developer agent for code transformation accelerates Java upgrades
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 […]
Developing with Java and Spring Boot using Amazon CodeWhisperer
Developers often have to work with multiple programming languages depending on the task at hand. Sometimes, this is a result of choosing the right tool for a specific problem, or it is mandated by adhering to a specific technology adopted by a team. Within a specific programming language, developers may have to work with frameworks, […]
S3 URI Parsing is now available in AWS SDK for Java 2.x
The AWS SDK for Java team is pleased to announce the general availability of Amazon Simple Storage Service (Amazon S3) URI parsing in the AWS SDK for Java 2.x. You can now parse path-style and virtual-hosted-style S3 URIs to easily retrieve the bucket, key, region, style, and query parameters. The new parseUri() API and S3Uri […]
Finding code inconsistencies using Amazon CodeGuru Reviewer
Here we are introducing the inconsistency detector for Java in Amazon CodeGuru Reviewer. CodeGuru Reviewer automatically analyzes pull requests (created in supported repositories such as AWS CodeCommit, GitHub, GitHub Enterprise, and Bitbucket) and generates recommendations for improving code quality. The Inconsistency Principle Software is repetitive, so it’s possible to mine usage specifications from the mining […]
CICD on Serverless Applications using AWS CodeArtifact
Developing and deploying applications rapidly to users requires a working pipeline that accepts the user code (usually via a Git repository). AWS CodeArtifact was announced in 2020. It’s a secure and scalable artifact management product that easily integrates with other AWS products and services. CodeArtifact allows you to publish, store, and view packages, list package […]
Building a centralized Amazon CodeGuru Profiler dashboard for multi-account scenarios
This post shows you how to configure CodeGuru Profiler to collect multiple applications’ profiling data into a central account and review the applications’ performance data on one dashboard.