AWS Developer Tools Blog

Connection UX improvements in the AWS Toolkit for JetBrains

The AWS Toolkit for JetBrains is a plugin for JetBrains’s IDEs that makes it easier to write applications for AWS. Features include locally debugging Lambdas, browsing S3 buckets, viewing CloudWatch logs, and more. Today we’d like to share a number of improvements to the toolkit which make connecting to AWS more seamless: Better defaults – in […]

Introducing immutable class mapping for the Enhanced DynamoDB Client in AWS SDK for Java 2.x

We are pleased to announce that the enhanced DynamoDB client in the AWS SDK for Java 2.x now supports the mapping of immutable Java objects directly with records in your DynamoDB tables. Previously, only mutable ‘Java bean’ style objects were supported. Immutability in Java is a commonly used style that allows developers to create classes […]

Automatically deploy a Serverless REST API from GitHub with AWS Chalice

AWS Chalice lets you quickly create serverless applications in Python. When you first start using Chalice, you can use the chalice deploy command to deploy your application to AWS without any additional setup or configuration needed other than AWS credentials. As your application grows and you add additional team members to your project, you’ll want […]

AWS Toolkit in JetBrains Rider

The AWS Toolkits for different IDEs are built to support a vast array of use cases and developer preferences so there’s almost always a tool for the IDE you use; e.g. JetBrains Rider, IntelliJ IDEA, JetBrains PyCharm, Microsoft’s VS Code, or Visual Studio. Developers tend to be attached to their preferred IDE and thus AWS […]

Introducing Paginators in AWS SDK for .NET v3.5

We are happy to introduce Paginators in the latest release of AWS SDK for .NET v3.5! Many AWS operations return paginated results when the response object is too large to return in a single response. Paginators can help you navigate through paginated responses from services. Basic Usage Typically, a service will return a truncated response when […]

Using AWS Lambda Layers with AWS Chalice

AWS Chalice is a framework for writing serverless applications in Python that provides familiar, declarative APIs to help you write your application. From the first version of this framework, we’ve provided a deployment packager that handles the details of how to package your application for AWS Lambda. This lets you specify third-party package dependencies using […]