AWS DevOps & Developer Productivity Blog

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. Amazon Q Developer, a […]

Graphic created by Kevon Mayers. Introduction As customers increasingly seek to harness the power of generative AI (GenAI) and machine learning to deliver cutting-edge applications, the need for a flexible, intuitive, and scalable development platform has never been greater. In this landscape, Streamlit has emerged as a standout tool, making it easy for developers to […]

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 Amazon Q Developer for all their software developers. However, many developers didn’t know they had access to the productivity […]

We are pleased to announce the general availability of the AWS Cloud Control provider for Pulumi, an modern infrastructure management platform, which allows our customers to adopt AWS innovations faster than ever before. AWS has consistently expanded its range of services to support any cloud workload, supporting over 200 fully featured services and introducing more […]

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 […]

As organizations increasingly adopt Amazon Q Developer, understanding how developers use it is essential. Diving into specific telemetry events and user-level data clarifies how users interact with Amazon 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 […]

Amazon CodeCatalyst is a unified service that streamlines the entire software development lifecycle, empowering teams to build, deliver, and scale applications on AWS. DevSecOps is the practice of integrating security into all stages of software development. Rather than prioritizing features, it injects security into an earlier phase of the development process – baking it into […]

Many AWS customers run their mission-critical workloads across multiple AWS regions to serve geographically dispersed customer base, meet disaster recovery objectives or address local laws and regulations. Amazon CodeCatalyst is a unified software development service designed to streamline and accelerate the process of building and delivering applications on AWS. It is an all-in-one platform for […]

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