Last week, Strands Agents, AWS open source for agentic AI SDK just hit 1 million downloads and earned 3,000+ GitHub Stars less than 4 months since launching as a preview in May 2025. With Strands Agents, you can build production-ready, multi-agent AI systems in a few lines of code. We’ve continuously improved features including support […]

by Michael Kaiser and Momo Kornher We are excited to announce the developer preview of CDK Mixins, a...

Last week, Strands Agents, AWS open source for agentic AI SDK just hit 1 million downloads and earned 3,000+ GitHub Stars less than 4 months since launching as a preview in May 2025. With Strands Agents, you can build production-ready, multi-agent AI systems in a few lines of code. We’ve continuously improved features including support […]

AWS Cloud Development Kit (CDK) CLI now enables safe infrastructure refactoring through the new 'cdk refactor' command in preview. This feature allows developers to rename constructs, move resources between stacks, and reorganize CDK applications while preserving the state of deployed resources. By leveraging AWS CloudFormation's refactor capabilities with automated mapping computation, CDK Refactor eliminates the risk of unintended resource replacement during code restructuring. Previously, infrastructure as code maintenance often requires reorganizing resources and improving code structure, but these changes traditionally risked replacing existing resources due to logical ID changes. With the CDK Refactor feature, developers can confidently implement architectural improvements like breaking down monolithic stacks, introducing inheritance patterns, or upgrading to higher-level constructs without complex migration procedures or risking downtime of stateful resources. This allows teams to continuously evolve their infrastructure code while maintaining the stability of their production environments. The AWS CDK Refactor feature is available in all AWS Regions where the AWS CDK is supported. For more information and a walkthrough of the feature, check out the blog post and the documentation. You can read more about the AWS CDK here.

AWS Cloud Development Kit (CDK) CLI now enables safe infrastructure refactoring through the new 'cdk refactor' command in preview. This feature allows developers to rename constructs, move resources between stacks, and reorganize CDK applications while preserving the state of deployed resources. By leveraging https://aws.amazon.com/about-aws/whats-new/2025/02/reshape-aws-cloudformation-stack-refactoring/ with automated mapping computation, CDK Refactor eliminates the risk of unintended resource replacement during code restructuring. Previously, infrastructure as code maintenance often requires reorganizing resources and improving code structure, but these changes traditionally risked replacing existing resources due to logical ID changes. With the CDK Refactor feature, developers can confidently implement architectural improvements like breaking down monolithic stacks, introducing inheritance patterns, or upgrading to higher-level constructs without complex migration procedures or risking downtime of stateful resources. This allows teams to continuously evolve their infrastructure code while maintaining the stability of their production environments. The AWS CDK Refactor feature is available in all AWS Regions where the AWS CDK is supported. For more information and a walkthrough of the feature, check out the https://aws.amazon.com/blogs/devops/aws-cloud-development-kit-cdk-launches-refactor/ and the https://docs.aws.amazon.com/cdk/v2/guide/refactor.html#_get_started_with_cdk_refactoring. You can read more about the https://docs.aws.amazon.com/cdk/v2/guide/home.html.

Version 1.0 of the Nx Plugin for AWS, an open source toolkit for scaffolding full-stack applications on AWS, is now available. AI assistants can stand up an application on AWS in minutes, but rarely get security, observability, and type-safety right in one pass. The plugin extends Nx, an open source, language-agnostic build system for monorepos, with generators that each build one part of an application on request, alongside the infrastructure to run it. Generators cover AI agents and Model Context Protocol servers on Amazon Bedrock AgentCore, plus APIs, websites, and databases, built on proven open source frameworks in TypeScript and Python. Each writes out a working, deployable piece of your application, defining infrastructure as either AWS Cloud Development Kit (AWS CDK) constructs or Terraform modules, with recommended practices in place such as AWS WAF protection, access logging to Amazon CloudWatch, and AWS X-Ray tracing. The connection generator wires projects together with type-safe clients, so a breaking API change becomes a build error instead of a failed request in production. Each generator produces the same result every time, making it a dependable foundation for an AI assistant to build on. The generated code belongs to you, with no runtime dependency on the plugin, and Nx migrations bring later improvements to workspaces you have customized. The plugin is available under the Apache 2.0 license at no additional charge; you pay only for the AWS resources your applications use. To learn more, see the launch blog post and documentation.

Version 1.0 of the Nx Plugin for AWS, an open source toolkit for scaffolding full-stack applications on AWS, is now available. AI assistants can stand up an application on AWS in minutes, but rarely get security, observability, and type-safety right in one pass. The plugin extends Nx, an open source, language-agnostic build system for monorepos, with generators that each build one part of an application on request, alongside the infrastructure to run it. Generators cover AI agents and Model Context Protocol servers on Amazon Bedrock AgentCore, plus APIs, websites, and databases, built on proven open source frameworks in TypeScript and Python. Each writes out a working, deployable piece of your application, defining infrastructure as either AWS Cloud Development Kit (AWS CDK) constructs or Terraform modules, with recommended practices in place such as AWS WAF protection, access logging to Amazon CloudWatch, and AWS X-Ray tracing. The connection generator wires projects together with type-safe clients, so a breaking API change becomes a build error instead of a failed request in production. Each generator produces the same result every time, making it a dependable foundation for an AI assistant to build on. The generated code belongs to you, with no runtime dependency on the plugin, and Nx migrations bring later improvements to workspaces you have customized. The plugin is available under the Apache 2.0 license at no additional charge; you pay only for the AWS resources your applications use. To learn more, see the https://aws.amazon.com/blogs/opensource/build-full-stack-aws-applications-in-minutes-with-ai-powered-scaffolding/ and https://awslabs.github.io/nx-plugin-for-aws/.

cdk-chalice 0.8.1 adds support for accessing AWS Chalice-generated CloudFormation resources as native CDK objects. It is useful if you need to explicitly reference these resources in the broader AWS Cloud Development Kit (AWS CDK) application, or customize the resources generated by Chalice. In this blog post, I will explain how this feature works and provide an example. The new capability is based on the CDK cloudformation-include module, which was released as a developer preview in CDK 1.

Amazon API Gateway now offers IPv6 support across all endpoint types, custom domains, and management APIs in all commercial and AWS GovCloud regions, enabling dual-stack configuration options as a solution to growing IPv4 address scarcity.

Amazon Web Services (AWS) announces the general availability of the AWS Cloud Development Kit (AWS CDK) L2 construct library for Amazon EventBridge Scheduler. This construct library allows developers to programmatically create, configure, and manage scheduled tasks using infrastructure as code with their preferred programming language, simplifying the process of building event-driven applications. The EventBridge Scheduler construct library enables you to define schedules using cron or rate expressions, configure target destinations including AWS Lambda functions, Amazon SQS queues, and other AWS services, and manage execution windows and retry policies. Developers can now leverage type-safe programming languages to define their scheduling infrastructure, improving code maintainability and reducing configuration errors. The AWS CDK construct library for Amazon EventBridge Scheduler is available in all AWS Regions where Amazon EventBridge Scheduler is available. To get started, visit the following resources: https://docs.aws.amazon.com/scheduler/latest/UserGuide/what-is-scheduler.html https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_scheduler-readme.html https://docs.aws.amazon.com/cdk/v2/guide/home.html

Amazon API Gateway now offers IPv6 support across all endpoint types, custom domains, and management APIs in all commercial and AWS GovCloud regions, enabling dual-stack configuration options as a solution to growing IPv4 address scarcity.

AWS Cloud Development Kit (AWS CDK) now includes L2 construct support for Amazon Data Firehose delivery streams, enabling developers to define and deploy streaming data infrastructure as code. This new capability allows you to programmatically configure delivery streams that automatically deliver real-time data to destinations like Amazon S3. With this addition to AWS CDK, you can define sophisticated streaming architectures using familiar programming languages like TypeScript, Python, Java, and .NET. The module simplifies the process of setting up fully-managed delivery streams that push data to your desired destinations on a regular cadence, making it easier to build data lakes, enable real-time analytics, and create data archival solutions. To learn more about using Amazon Data Firehose with AWS CDK, see the https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_kinesisfirehose-readme.html and the https://docs.aws.amazon.com/firehose/latest/dev/what-is-this-service.html. You can also explore sample applications and use cases on the AWS CDK Workshop website.

Amazon Web Services (AWS) announces the general availability of the AWS Cloud Development Kit (AWS CDK) L2 construct library for Amazon EventBridge Scheduler. This construct library allows developers to programmatically create, configure, and manage scheduled tasks using infrastructure as code with their preferred programming language, simplifying the process of building event-driven applications. The EventBridge Scheduler construct library enables you to define schedules using cron or rate expressions, configure target destinations including AWS Lambda functions, Amazon SQS queues, and other AWS services, and manage execution windows and retry policies. Developers can now leverage type-safe programming languages to define their scheduling infrastructure, improving code maintainability and reducing configuration errors. The AWS CDK construct library for Amazon EventBridge Scheduler is available in all AWS Regions where Amazon EventBridge Scheduler is available. To get started, visit the following resources: Amazon EventBridge Scheduler documentation AWS CDK API Reference for EventBridge Scheduler AWS CDK Developer Guide

AWS Cloud Development Kit (AWS CDK) now includes L2 construct support for Amazon Data Firehose delivery streams, enabling developers to define and deploy streaming data infrastructure as code. This new capability allows you to programmatically configure delivery streams that automatically deliver real-time data to destinations like Amazon S3. With this addition to AWS CDK, you can define sophisticated streaming architectures using familiar programming languages like TypeScript, Python, Java, and .NET. The module simplifies the process of setting up fully-managed delivery streams that push data to your desired destinations on a regular cadence, making it easier to build data lakes, enable real-time analytics, and create data archival solutions. To learn more about using Amazon Data Firehose with AWS CDK, see the AWS CDK documentation and the Amazon Data Firehose Developer Guide. You can also explore sample applications and use cases on the AWS CDK Workshop website.