Compare the Top AI-Augmented Code Modernization Tools that integrate with .NET as of September 2026

This a list of AI-Augmented Code Modernization Tools that integrate with .NET. Use the filters on the left to add additional filters for products that have integrations with .NET. View the products that work with .NET in the table below.

What are AI-Augmented Code Modernization Tools for .NET?

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often support modernization initiatives like moving monolithic applications to cloud-native architectures, converting outdated programming languages, and reducing technical debt while preserving business logic.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 .NET currently available using the table below. This list is updated regularly.

  • 1
    vFunction

    vFunction

    vFunction

    vFunction modernizes Java applications and accelerates migration to the cloud. Automatically and quickly extract efficient microservices from complex monolithic apps. A single pane of glass that manages, tracks full cloud migration and modernization projects across an enterprise application estate. Modernization dashboard coordinates the full migration and modernization process including marking apps for refactoring, retention, retirement, replatforming, or rewriting. Your cloud transformation projects are moving ahead – but application modernization projects are not. Help application teams get unstuck and move forward faster. The pressure to modernize is growing. Lift and shift won’t cut it. These legacy apps are hard to refactor – automation and analytics can help modernize your most complex app. Take on more complex projects confidently.
  • 2
    AWS Transform
    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.
  • 3
    Rocket COBOL

    Rocket COBOL

    Rocket Software

    Rocket COBOL is development and runtime environment that helps enterprises maintain, enhance, and modernize distributed COBOL applications. Rocket COBOL products standardize COBOL development alongside other languages, giving teams access to industry standard tools, flexible deployment options, and DevOps workflows. With Rocket COBOL products, engineering teams work with COBOL in industry-standard tools such as Visual Studio Code, Visual Studio, and Eclipse. It delivers advanced editing and debugging, continuous background compilation, and code analysis to speed development and onboarding. Its portable deployment platform enables low risk moves to new infrastructure, supports cloud, container, and ARM environments, and integrates smoothly with APIs, .NET, and JVM ecosystems. Rocket products also extend the value of large COBOL systems by making them easier to understand and evolve. GenAI powered insights help teams work confidently with COBOL and accelerate delivery.
  • 4
    OpenFrame

    OpenFrame

    TmaxSoft

    OpenFrame from TmaxSoft is a comprehensive mainframe modernization and replatforming solution that enables organizations to migrate legacy mainframe applications and data to open systems such as Linux, Unix, Docker containers, or public cloud environments without modifying existing business logic, preserving core functionality while reducing total cost of ownership and avoiding risky rewrites. It delivers a future-oriented, standard three-tier architecture that improves performance, stability, flexibility, and scalability compared with traditional mainframes, with support for over 100K MIPS and increased processing capacity. OpenFrame uses advanced compiler technology and an integrated asset analysis environment (OF Manager) to automatically convert user interface logic, application logic, and data structures so applications run natively in open environments with minimal manual effort, enabling existing personnel and skill sets to be retained.
  • 5
    Intellisys

    Intellisys

    EvolveWare

    Intellisys is an AI-enhanced platform for application modernization and maintenance that uses intelligent automation to enable multiple pathways to modernization, helping organizations reduce dependency on legacy technology and the costs associated with it. It supports an unparalleled number of programming languages and incorporates custom AI/ML technologies that continue to be enhanced over time. Intellisys mitigates modernization risk through a phase-based approach: documentation and analysis, followed by agile business rules extraction and/or code optimization and migration. It executes diverse modernization objectives across the application portfolio, supporting technologies. It provides a 100% automated set of reverse-engineering artifacts, helping teams analyze implemented logic, understand the impact of potential changes, and keep documentation continuously updated.
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