vFunction, the pioneer of AI-driven architectural observability and modernization, is bringing its architectural context to any GenAI assistant, including native integrations with Amazon Q Developer and GitHub Copilot to guide developers through automated architectural modernization and GenAI-powered service transformation. vFunction’s GenAI is enriched with deep architectural knowledge that is aware of semantic structures like context, components, and logical domains, enabling code assistants to address system-wide architectural challenges with complete architectural awareness, rather than just isolated code modifications. By bringing architectural intelligence into developers’ workflows, vFunction accelerates application modernization, helping organizations move beyond lift-and-shift to fully maximize their cloud investments. “With these new advancements, teams can surface and resolve architectural debt, and transform their apps to cloud-native, with unprecedented speed through autonomous modernization,” said Amir Rapson, CTO and co-founder of vFunction. “From eliminating circular dependencies to refactoring ‘god classes’, developers can now simplify refactoring and modernization, accelerate delivery, and optimize architecture for the cloud.” One of the ways vFunction is addressing GenAI-based refactoring is with its new MCP server, connecting vFunction’s architectural observability engine with modern developer environments. It enables developers to query architectural issues, generate GenAI prompts, and kick off remediation—all from the command line. With optimized support for Amazon Q Developer and GitHub Copilot, developers can use their preferred assistants to resolve architectural issues using prompts enriched with real-time architectural data. This closes the divide between architects and developers, making the architectural vision executable within native workflows.