Category: Generative AI

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 […]

Introduction Software engineering stands at an inflection point. While previous technological shifts enhanced what developers could build, AI is fundamentally changing how we build. HAQM Q has driven a shift in how developers at HAQM approach software development. At re:Invent 2024, our breakout session Unleashing generative AI: HAQM’s journey with HAQM Q Developer (DOP214) shared […]

The release of HAQM 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. HAQM Q Developer is a conversational generative AI chatbot that provides AWS assistance in the form of […]

Earlier today, HAQM 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 […]

AWS Lambda recently announced a new code editor based on Code-OSS. Like the previous version, the new editor includes HAQM Q Developer. HAQM 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 HAQM Q Developer’s […]

Generative AI is leading to many new features and capabilities. As a result, your employees may not know about all the new tools you are deploying. I was recently working with a customer that had deployed HAQM Q Developer for all their software developers. However, many developers didn’t know they had access to the productivity […]

As organizations increasingly adopt HAQM Q Developer, understanding how developers use it is essential. Diving into specific telemetry events and user-level data clarifies how users interact with HAQM Q Developer, offering insights into feature usage and developer behaviors. This granular view, accessible through logs, is vital for identifying trends, optimizing performance, and enhancing the overall […]

HAQM 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, HAQM Q Developer’s agent for software development autonomously implements multi-file […]

Overview In this blog post, I’ll explain how to use a Microsoft Entra ID and Visual Studio Code editor to access HAQM Q developer service and speed up your development. Additionally, I’ll explain how to minimize the time spent on repetitive tasks and quickly integrate users from external identity sources so they can immediately use […]

Introduction In the rapidly evolving landscape of Generative AI, the ability to deploy and iterate on features quickly and reliably is paramount. We, the HAQM Q Developer service team, relied on several offline and online testing methods, such as evaluating models on datasets, to gauge improvements. Once positive results are observed, features were rolled out […]