Category: HAQM Q

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 […]

Practical improvement and optimization of software quality requires expert-level knowledge across various subjects. As such, in this blog we shall look at how HAQM Q Developer can help improve your development team productivity and application stability by enabling automation around code optimization by improving your code’s quality, performance, application infrastructure specifications. The blog will also look […]

A primary objective of software developers is to develop products that uphold the highest standards of data privacy and security, fostering trust and confidence among their users and customers. Developers seek to secure their software by identifying and mitigating security vulnerabilities in their codebase, thereby enhancing its resilience against cyber threats. HAQM Q Developer, a […]

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 […]

In this blog, we will explore how HAQM 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 HAQM Q Developer to upgrade your applications HAQM Q […]

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 […]

By Priya Mallya, Managing Director – Accenture, Sandeep Singh Bhatia, Sr Manager – Accenture      Vikas Purohit – Sr. Solutions Architect – AWS Being able to internally setup and manage flexible, efficient infrastructure can be painful. Manually authoring your Infrastructure as Code (IaC) templates is error prone and time consuming. However, adoption of generative […]

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 […]

HAQM Q Developer is a generative artificial intelligence (AI) powered conversational assistant that can help you understand, build, extend, and operate AWS applications. You can ask questions about AWS architecture, your AWS resources, best practices, documentation, support, and more. With HAQM Q Developer in your IDE, you can write a comment in natural language that […]

According to the Well-Architected DevOps Guidance, “A peer review process for code changes is a strategy for ensuring code quality and shared responsibility. To support separation of duties in a DevOps environment, every change should be reviewed and approved by at least one other person before merging.” Development teams often implement the peer review process […]