AI-Accelerated Modernization 

Aging runtimes create compounding risk the longer they are deferred. Our team will: 

• Upgrade .NET Framework applications to modern .NET (8, 9, or later) and Java applications to JDK 21 with Spring Boot 3.x using GitHub Copilot App Modernization's predefined scenarios and OpenRewrite transformations 

• Update project files, configuration, and deprecated APIs automatically, with every change validated through existing build and test pipelines 

• Preserve your organization's coding standards and architectural conventions by encoding them as custom skills, reusable remediation patterns that improve as more applications pass through the pipeline 

Modernization is also the moment to pay down years of accumulated risk. We help: 

• Identify and remediate architectural anti-patterns, dead code, and outdated dependencies flagged during AI analysis 

• Automatically resolve Common Vulnerabilities and Exposures (CVEs) surfaced during the upgrade process, including transitive dependency vulnerabilities 

• Generate or update unit and integration tests using GitHub Copilot to lock in behaviour before and after each transformation, so refactoring does not silently change system behaviour 

Lifting-and-shifting delivers little value on its own. The real return comes from replatforming onto Azure-native services. Our experts will: 

• Apply GitHub Copilot App Modernization's predefined migration tasks to swap on-premises and legacy dependencies for Azure equivalents: Windows Active Directory to Microsoft Entra ID, plaintext credentials to Managed Identity and Azure Key Vault, MSMQ or RabbitMQ to Azure Service Bus, local Redis to Azure Cache for Redis, SMTP to Azure Communication Services, local logging to OpenTelemetry, and Amazon S3 to Azure Blob Storage 

• Validate functional equivalence and performance after each migration task, with full transparency into every change 

• Identify opportunities to introduce AI capabilities during modernization — grounding a legacy app's search with Azure AI Search, embedding Microsoft Foundry agents for user assistance, or exposing capabilities through Model Context Protocol (MCP) servers so they can be consumed by Microsoft 365 Copilot and other agents 

Code transformation is only complete when it is running safely in production. We help: 

• Generate Dockerfiles, Bicep infrastructure-as-code, and CI/CD pipelines for deployment to Azure App Service, Azure Container Apps, Azure Kubernetes Service (AKS), or AKS Automatic 

• Provide architect-led oversight throughout the modernization process, reviewing agent output, catching regressions, applying organizational standards, and keeping humans firmly in the loop on every meaningful change 

• Establish the telemetry, observability, and cost-monitoring practices needed to run the modernized application confidently on day one, and to validate that the investment is delivering the business case that justified it