AWS News Blog
Announcing Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads in a web experience (preview)
Amazon Q Developer streamlines large-scale transformations using generative AI agents supervised by teams through a unified web experience, accelerating .NET porting, mainframe modernization, and VMware migration.
Investigate and remediate operational issues with Amazon Q Developer (in preview)
Amazon Q Developer can now help you investigate and remediate operational issues quickly from anywhere in the AWS Management Console, accelerating the troubleshooting process for operators of all experience levels.
Introducing GitLab Duo with Amazon Q
GitLab Duo with Amazon Q streamlines software development across tasks and teams by embedding advanced AI agent capabilities into the GitLab workflows developers already know.
Introducing Amazon Nova foundation models: Frontier intelligence and industry leading price performance
Amazon Nova foundation models deliver frontier intelligence and industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and high-quality images and videos.
Introducing multi-agent collaboration capability for Amazon Bedrock (preview)
With multi-agent collaboration on Amazon Bedrock, developers can build, deploy, and manage multiple specialized agents working together seamlessly to tackle more intricate, multi-step workflows.
Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview)
Enhance conversational AI accuracy with Automated Reasoning checks – first and only gen AI safeguard that helps reduce hallucinations by encoding domain rules into verifiable policies.
Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview)
Easily transfer knowledge from a large, complex model to a smaller one.
Introducing queryable object metadata for Amazon S3 buckets (preview)
Unlock S3 data insights effortlessly with AWS’ rich metadata capture; query objects by key, size, tags, and more using Athena, Redshift, and Spark at scale.