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Just one year ago, we launched AWS Transform for .NET, Mainframe, and VMware workloads, the first artificial intelligence agent service designed to modernize enterprise applications at scale. At re:Invent 2025, we introduced AWS Transform custom, which enables organizations to modernize and transform code at scale using AWS managed and custom transformations. You can upgrade language versions, migrate frameworks, optimize performance, and analyze codebases using transformations that are ready-to-use or can be customized to meet your organization’s specific requirements. We also introduced full Windows upgrade options and Reimagine options and auto-testing features for mainframes.
In 12 months, thousands of customers have migrated hundreds of thousands of servers, saved 1.6+ million hours, and processed more than 4.5 billion lines of code using AWS Transform. Celebrating their one-year anniversary, AWS Transform agents are now available in Kiro, Claude, Cursor, and Codex versions, including the Kiro power agent authoring toolkit for creating customized transform agents.
To find out what’s happened in 12 months, the four things we’ve learned and how it’s evolved our plan, visit the one-year anniversary blog post.
Last week’s launch
Here’s the news from last week that caught my eye:
- Claude Platform General Availability on AWS – You can get direct access to Anthropic’s native Claude Platform experience, including the API, console, and early access beta features, directly through your existing AWS account, without managing separate accounts, billing, or tracking. The Claude platform on AWS is operated by Anthropic and customer data is processed outside the AWS security perimeter. To learn more, visit the deep dive blog post.
- Amazon EC2 M3 Ultra Mac Instances – These instances are built on Apple M3 Ultra Mac Studio machines with 28-core CPU, 60-core GPU, 32-core Neural Engine and 256GB of unified memory. Compared to EC2 M4 Max Mac instances, M3 Ultra Mac instances provide 2x unified memory, 1.75x CPU cores, 1.5x GPU cores, and 2x Neural Engine cores, giving Apple developers room to run significantly more Xcode simulators in parallel and accelerate ML workflows on the device to improve time to market.
- Amazon Redshift RG Instances Using AWS Graviton Technology – These instances deliver improved performance, running data warehouse and data lake workloads up to 2.4x faster than previous generation RA3 instances, at a 30% lower cost per vCPU. RG instances include a custom-built Redshift Data Lake vectorized query engine that processes Apache Iceberg and Parquet data on your cluster’s nodes.
- Advanced Amazon Bedrock Challenge Optimization – You can optimize challenges for any model on Bedrock while comparing your original challenges with optimized challenges on up to 5 models simultaneously. You can also use this if you are upgrading to a new model or just want to get better performance from your current model.
- AWS Security Agent Full Repository Code Scan (Preview) – You can use a new feature in AWS Security Agent that performs a deep, context-aware security analysis of your entire code base. When vulnerabilities are found, the scanner generates code remediation—specific fixes tied to the exact file and line—allowing teams to patch security vulnerabilities faster than ever before. This feature is available at no additional charge to existing AWS Security Agent customers during preview.
- AWS Interconnect – Multicloud Connectivity with Oracle Cloud Infrastructure (preview) – With AWS Interconnect – Multicloud Connectivity, you can quickly provide resilient, scalable private connections to other cloud providers. OCI is the latest CSP to adopt the open specification that powers AWS Interconnect. This enables AWS to provide a consistent and simple experience to our customers on OCI (Preview), Google Cloud (Generally Available) and Microsoft Azure (coming later in 2026).
Another update
Here’s some other news you might be interested in:
- Accelerate AI Research and Education with Build on Trainium – Learn how the next generation of AI researchers are using Amazon’s chips to accelerate discovery. AWS has invested $110 million to give university researchers access to purpose-built AI chips. AWS Trainium accelerates AI research at UC Berkeley, MIT, Carnegie Mellon and others. All research is open source, meaning improvements flow back into the wider development community.
- AWS Community Days 2026 Full List – There’s something different about an event where the speakers are your colleagues, the organizers are volunteers who do it out of passion, and the program is made by the community itself. That’s exactly what AWS Community Days are, and they take place every year in cities on every continent.
- The Kiro Startups Credit program is back – thousands of founders applied in the first round and now applications are open again. Request up to one year of Kiro Pro+ credits automatically credited to your organization’s AWS account.
For a complete list of AWS blog posts, visit the AWS Blogs page.
Learn more about AWS, browse, and join upcoming AWS-led in-person and virtual events, launch events, and developer-focused events, including AWS Summits. Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development.
That’s it for this week. Check back next Monday for another weekly recap!
— Channy
