AWS has expanded its Transform tool with AI-powered capabilities to migrate applications from SQL Server to PostgreSQL and VMware to EC2. The revamped service now offers full-stack Windows modernization for .NET applications, including database migration to Aurora PostgreSQL. New features include agentic AI for VMware infrastructure discovery, custom transformation tasks, and mainframe reimagination with automated testing. While these tools promise to simplify legacy code migration and reduce licensing costs, they have limitations including SQL Server integration services exclusions and potential vendor lock-in concerns.

5m read timeFrom devclass.com
Post cover image
Table of contents
OCaml maintainers reject massive AI-generated pull requestMicrosoft Visual Studio shifts to annual releases, raising cost concernsWe take a look at Google's Antigravity: Agentic AI development but some frustrations for early adopt...AWS S3 gets vector buckets with new algorithms for reasonable performance at lower cost, VP tells usHands on with Kiro, the AWS preview of an agentic AI IDE driven by specificationsMicrosoft shovels extra Copilot features into VS Code amid dev complaints of 'more AI bloat'Docker adds AI agents to Compose along with GPU-powered cloud Offload serviceMicrosoft SQL Server MCP tool: 'Leap in data interaction' or limited and frustrating?Google positions itself for 'next decade' of AI as Gemini CLI arrives with generous free tierCloudBees opens MCP server so agents can infiltrate DevOpsAI is generating code at scale – but human scale code review can’t keep upRedefining identity security in the age of agentic AI

Sort: