Best AI-Augmented Code Modernization Tools for VMware Cloud
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Compare the Top AI-Augmented Code Modernization Tools that integrate with VMware Cloud as of September 2026
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This a list of AI-Augmented Code Modernization Tools that integrate with VMware Cloud. Use the filters on the left to add additional filters for products that have integrations with VMware Cloud. View the products that work with VMware Cloud in the table below.
What are AI-Augmented Code Modernization Tools for VMware Cloud?
AI-augmented code modernization tools use artificial intelligence to help organizations analyze, refactor, migrate, and modernize legacy software systems more efficiently. These tools combine generative AI, deterministic analysis, and automated transformation workflows to accelerate tasks such as code translation, dependency mapping, architecture analysis, documentation generation, and test creation. They often support modernization initiatives like moving monolithic applications to cloud-native architectures, converting outdated programming languages, and reducing technical debt while preserving business logic. Many platforms integrate with CI/CD pipelines, DevOps workflows, and observability systems to validate and monitor modernization efforts throughout the software lifecycle. By reducing manual effort, modernization risk, and migration timelines, AI-augmented code modernization tools help enterprises modernize legacy systems faster and at lower cost. Compare and read user reviews of the best AI-Augmented Code Modernization Tools for VMware Cloud currently available using the table below. This list is updated regularly.
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AWS Transform
Amazon
AWS Transform is an agentic AI service from Amazon Web Services that automates and accelerates the modernization of legacy workloads, specifically .NET, mainframe, and VMware environments. Built on AWS’s migration and modernization experience, it deploys specialized AI agents to carry out tasks like assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, many of which run in parallel, to speed up large-scale transformations. Through a shared workspace and natural-language chat interface, cross-functional teams can collaborate, track progress, and manage modernization projects from end to end. AWS claims AWS Transform can make .NET apps port up to 4 times faster, greatly speed VMware configuration conversion, and compress mainframe migration timelines (years down to months), while also helping reduce legacy licensing, infrastructure cost, and ongoing maintenance expenses.
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