AWS DevOps & Developer Productivity Blog
Category: Developer Tools
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 […]
Code Clarity: Enhancing Code Understanding and Efficiency with Amazon Q Developer
“All code will become legacy”. This saying, widely recognized amongst software developers, highlights the reality of their day-to-day activities. While writing new code is an integral part of a developer’s role, a significant portion of their time is dedicated to refactoring and maintaining existing codebases. Developers typically encounter numerous challenges when attempting to understand and […]
How to use Amazon Q Developer to deploy a Serverless web application with AWS CDK
Did you know that Amazon Q Developer, a new type of Generative AI-powered (GenAI) assistant, can help developers and DevOps engineers accelerate Infrastructure as Code (IaC) development using the AWS Cloud Development Kit (CDK)? IaC is a practice where infrastructure components such as servers, networks, and cloud resources are defined and managed using code. Instead […]
Accelerate your Terraform development with Amazon Q Developer
This post demonstrates how Amazon Q Developer, a generative AI-powered assistant for software development, helps create Terraform templates. Terraform is an infrastructure as code (IaC) tool that provisions and manages infrastructure on AWS safely and predictably. When used in an integrated development environment (IDE), Amazon Q Developer assists with software development, including code generation, explanation, […]
Balance deployment speed and stability with DORA metrics
Development teams adopt DevOps practices to increase the speed and quality of their software delivery. The DevOps Research and Assessment (DORA) metrics provide a popular method to measure progress towards that outcome. Using four key metrics, senior leaders can assess the current state of team maturity and address areas of optimization. This blog post shows […]
Use OpenID Connect with AWS Toolkit for Azure DevOps to perform AWS CodeDeploy deployments
Introduction Many organizations with workloads hosted on AWS leverage the advantage of AWS services like AWS CloudFormation, AWS CodeDeploy, and other AWS developer tools while integrating with their existing development workflows. These customers seek to maintain their preferred version control systems, such as GitHub, and continue using their established continuous integration and continuous deployment (CI/CD) […]
How to migrate your AWS CodeCommit repository to another Git provider
After careful consideration, we have made the decision to close new customer access to AWS CodeCommit, effective July 25, 2024. AWS CodeCommit existing customers can continue to use the service as normal. AWS continues to invest in security, availability, and performance improvements for AWS CodeCommit, but we do not plan to introduce new features. Customers […]
How to migrate from AWS Cloud9 to AWS IDE Toolkits or AWS CloudShell
After careful consideration, we have made the decision to close new customer access to AWS Cloud9, effective July 25, 2024. AWS Cloud9 existing customers can continue to use the service as normal. AWS continues to invest in security, availability, and performance improvements for AWS Cloud9, but we do not plan to introduce new features. Building […]
Leveraging Amazon Q Developer for Efficient Code Debugging and Maintenance
In this post, we guide you through five common components of efficient code debugging. We also show you how Amazon Q Developer can significantly reduce the time and effort required to manually identify and fix errors across numerous lines of code. With Amazon Q Developer on your side, you can focus on other aspects of […]
Refactoring to Serverless: From Application to Automation
Refactor serverless apps by swapping application code with cloud automation: reduce costs, decouple logic from architecture, and leverage managed services’ native capabilities.