AWS DevOps & Developer Productivity Blog

Tag: Developer Tools

HAQM introduces SWE-PolyBench, a multilingual benchmark for AI Coding Agents

Coding agents powered by large language models have shown impressive capabilities in software engineering tasks, but evaluating their performance across diverse programming languages and real-world scenarios remains challenging. This led to a recent explosion in benchmark creation to assess the coding effectiveness of said systems in controlled environments. In particular, SWE-Bench which measures the performance […]

Accelerate large-scale modernization of .NET, mainframe, and VMware workloads using HAQM Q Developer

Software runs the world – not just the new software applications built in modern languages and deployed on the most optimized cloud infrastructure, but also legacy software built over years and barely understood by the teams that inherit them. These legacy applications may have snowballed into monolithic blocks or may be fragmented across siloed on-premises […]

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Simplifying Code Documentation with HAQM Q Developer

In the fast-paced world of software development, maintaining comprehensive documentation often falls to the bottom of priority lists in favor of delivering functionality. HAQM Q Developer’s /doc agent changes this equation by automating README generation and updates. With this tool, the variable of time spent producing documentation is reduced to the point that it’s no longer […]

Speaking Your Language: Expanded language support in HAQM Q Developer

As the world of software development becomes increasingly global, the need for tools that support multiple languages has become paramount. Earlier today, HAQM Q Developer announced expanded language support. In this post, I explore the recent expansion of language support in HAQM Q Developer, a powerful platform used by developers worldwide to discuss architecture, create documentation, […]

Using the HAQM Q Developer command line transformation tool

In today’s rapidly evolving software landscape, maintaining and modernizing Java applications is a critical challenge for many organizations. As new Java versions are released and best practices evolve, the need for efficient code transformation becomes increasingly important. HAQM Q Developer transformation for Java using the Command Line Interface (CLI) presents a powerful alternative to integrated […]

Adopting HAQM Q Developer in Enterprise Environments

Adopting HAQM Q Developer in Enterprise Environments

Increasing developer productivity has been a persistent challenge for senior leaders over the past decades. With the rise of generative artificial intelligence (AI), a new wave of innovation is transforming how software teams work. Generative AI tools like HAQM Q Developer are emerging as game-changers, supporting developers across the entire software development lifecycle. But how […]

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Learning AWS best practices from HAQM 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 HAQM Q to assist with users accessing the console […]

How SmugMug Increased Data Modeling Productivity with HAQM Q Developer

This post is co-written with Dr. Geoff Ryder, Manager, at SmugMug. Introduction SmugMug operates two very large online photo platforms: SmugMug and Flickr. These platforms enable more than 100 million customers to safely store, search, share, and sell tens of billions of photos every day. However, the data science and engineering team at SmugMug and […]

Title card: Dissecting the Performance Gains in HAQM Q Developer agent for code transformation

Dissecting the Performance Gains in HAQM Q Developer agent for code transformation

HAQM 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, HAQM Q simplifies the migration process and reduce the time and effort compared to manual process. It proposes and verifies code changes, using AI to […]