AWS DevOps & Developer Productivity Blog

Category: Technical How-to

Five ways to optimize code with Amazon Q Developer

Practical improvement and optimization of software quality requires expert-level knowledge across various subjects. As such, in this blog we shall look at how Amazon 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 […]

Code security scanning with Amazon Q Developer

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 […]

Accelerate Serverless Streamlit App Deployment with Terraform

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 […]

Exploring Telemetry Events in Amazon Q Developer

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 […]

Securing Your Software Supply Chain with Amazon CodeCatalyst and Amazon Inspector

Securing Your Software Supply Chain with Amazon CodeCatalyst and Amazon Inspector

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 […]

Amazon ECS Multi-region Deployment with Amazon CodeCatalyst

Amazon ECS Multi-region Deployment with Amazon CodeCatalyst

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 […]

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Publish packages to AWS CodeArtifact using Amazon CodeCatalyst Actions

Amazon CodeCatalyst is a unified software development service for development teams to quickly build, deliver and scale applications on AWS while adhering to organization-specific best practices. Developers can automate development tasks and innovate faster with generative AI capabilities, and spend less time setting up project tools, managing CI/CD pipelines, provisioning and configuring various development environments […]

Best Practices for Working with Pull Requests in Amazon CodeCatalyst

Best Practices for working with Pull Requests in Amazon CodeCatalyst

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 […]

Accessing Amazon Q Developer using Microsoft Entra ID and VS Code to accelerate development

Overview In this blog post, I’ll explain how to use a Microsoft Entra ID and Visual Studio Code editor to access Amazon 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 […]

How A/B Testing and Multi-Model Hosting Accelerate Generative AI Feature Development in Amazon Q

How A/B Testing and Multi-Model Hosting Accelerate Generative AI Feature Development in Amazon Q

Introduction In the rapidly evolving landscape of Generative AI, the ability to deploy and iterate on features quickly and reliably is paramount. We, the Amazon 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 […]