My Recent Favorite AWS Topics "Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic" etc

Hello everyone!! Recently, I updated my "AWS Community Builder" status. I can continue be "AWS Community Builder" in this year. I think the best way of using AWS credits of CB is Amazon Q Developer. Since pro Subscription costs $19, we can keep within the $500 yearly. Since I don't setup AWS Organization in My AWS Account, I'd like to enable AWS Organization and Amazon Q Developer by the end of this month.

This post is introduce my favorite recent AWS Topic. Especially, Claude 4 is very attention! Most AI Coding Agent can choose Claude, so I look forward to supporting Claude 4.

Collection period: 2025/05/17 Mon ~ 2025/05/25 Sun

AWS Blog

Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic | AWS News Blog

Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic

This article announces the launch of two new AI models from Anthropic - Claude Opus 4 and Claude Sonnet 4 - which are now available on Amazon Bedrock. Here are the key points:

1. Claude Opus 4 is Anthropic's most advanced model, designed for complex tasks like coding, advanced reasoning, and building autonomous AI agents.
2. Claude Sonnet 4 is optimized for efficiency and high-volume tasks, making it suitable for production workloads.
3. Both models are available on Amazon Bedrock, offering enterprise-grade security and responsible AI controls.
4. Opus 4 excels in software development scenarios requiring extended context and deep reasoning, while Sonnet 4 is ideal for everyday development tasks and high-volume production workloads.
5. Both models offer two modes: near-instant responses and extended thinking for deeper reasoning.
6. The article provides code examples and instructions on how to get started using these models through the Bedrock Converse API.
7. Claude Opus 4 is available in select North American AWS Regions, while Claude Sonnet 4 is available in North America, APAC, and Europe.
8. The new models aim to enhance AI capabilities in areas such as coding, research, and enterprise workflows.

Exploring the latest features of the Amazon Q Developer CLI | AWS DevOps & Developer Productivity Blog

Exploring the latest features of the Amazon Q Developer CLI

This article discusses recent updates and new features for the Amazon Q Developer Command Line Interface (CLI). Key improvements include:

1. Conversation Persistence: Users can now save and resume conversations using commands like 'q chat --resume', '/save', and '/load'.
2. MCP and Tool Use Enhancements: Background loading of Model Context Protocol (MCP) servers, a new 'q mcp' subcommand for managing MCP configurations, and the '/tools' command for controlling tool permissions.
3. Improved Context Control: Git-aware file selection, fuzzy search for slash commands, enhanced context display, and dynamic context addition through hooks.
4. Context Window Awareness: New '/usage' and '/compact' commands to manage context window usage efficiently.
5. Image Support: Users can now share images in 'q chat' for visual information exchange.
6. Editor for Long Prompts: The '/editor' command allows composing detailed prompts in a text editor.
7. Expanded Region Support: Professional tier users can now access Q Developer in the Frankfurt region (eu-central-1).
8. Issue Management: New '/issue' command and 'report_issue' tool for easier bug reporting and feature requests.
9. Changelog Access: A '--changelog' flag added to the 'q version' command for viewing recent updates.

These updates aim to enhance user experience, improve context management, and add powerful new capabilities to the Amazon Q Developer CLI.

Amazon Inspector enhances container security by mapping Amazon ECR images to running containers | AWS News Blog

Amazon Inspector enhances container security by mapping Amazon ECR images to running containers

This article discusses new features in Amazon Inspector that enhance vulnerability management for container workloads:

1. Amazon Inspector now maps Amazon ECR images to running containers, allowing security teams to prioritize vulnerabilities based on currently running containers.
2. Vulnerability scanning support has been extended to minimal base images and additional ecosystems.
3. The new features provide visibility into which container images are actively running and where they're deployed in Amazon ECS and Amazon EKS.
4. Users can configure image re-scan modes based on last in-use date or last pull date.
5. The console now displays information about images running on containers, including last in-use and pull dates, and EKS pods or ECS tasks count.
6. Cross-account visibility is supported, allowing users to see deployments across different AWS accounts.
7. New filtering options are available in the Findings menu, including Account ID, Image in use count, and Image last in use at.
8. The service now provides unified vulnerability assessments for both traditional Linux distributions and minimal base images.
9. Enhanced cross-account visibility is supported through delegated administrator capabilities.
10. These new container mapping capabilities are available in all AWS Regions where Amazon Inspector is offered at no additional cost.

The article emphasizes how these features help prioritize vulnerability management based on actual deployment and usage patterns of container images.