GitHub Copilot for .NET App Modernization Now in Public Preview
GitHub Copilot's new feature helps enterprises migrate .NET applications to Azure efficiently, offering assessment, code remediation, and validation powered by AI.
GitHub has announced the public preview of GitHub Copilot app modernization for .NET, a feature designed to assist enterprises in migrating their .NET applications to Azure with confidence and efficiency. This AI-powered tool covers assessment, code remediation, and validation, streamlining the modernization process.
Key Benefits
- Speed: Modernize applications in days or weeks, not years.
- AI Agents: Automate code remediation for .NET apps moving to Azure.
- Control: Maintain end-to-end visibility with human oversight at every step.
- Comprehensive Migration: Includes assessment, code remediation, and build fixes.
Key Features
- Predefined Migration Tasks: Eight tasks aligned with Microsoft best practices.
- AppCat for .NET: Embedded assessment tool for applications.
- MCP Server Integration: Enhances GitHub Copilot's migration capabilities with Azure-specific knowledge bases.
Predefined Migration Tasks
- Database Migration:
- From DB2 or Oracle DB to Azure PostgreSQL
- From local/on-prem SQL server to Azure SQL DB
- Storage Migration:
- To Azure File Storage from local file systems
- To Azure Blob Storage from on-prem or cross-cloud object storages
- Identity and Security:
- Migrate to Microsoft Entra ID from Windows AD
- Secured credentials with Azure KeyVault
- Messaging and Communication:
- To Azure Service Bus from MSMQ or RabbitMQ
- To Azure Communication Service from SMTP
- To Confluent Cloud/Azure Event Hub from on-prem Kafka
This feature is now available in public preview, offering enterprises a streamlined path to modernizing their .NET applications on Azure. For more details, visit the GitHub Changelog.
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About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.