vFunction, a pioneer in AI-driven architectural observability, announced on July 8, 2025, the industry’s first GenAI-powered capabilities for application refactoring and rearchitecting. By integrating with tools like Amazon Q Developer and GitHub Copilot, vFunction’s platform accelerates cloud-native transformations, reducing modernization timelines from months to days.
vFunction introduces GenAI-driven architectural intelligence for code assistants.
Integrates with Amazon Q Developer and GitHub Copilot for enhanced refactoring.
Uses static and dynamic analysis to resolve architectural technical debt.
New MCP server enables command-line-driven remediation workflows.
Addresses issues like dead code, god classes, and circular dependencies.
Speeds up cloud migrations with context-aware, automated code transformation.
vFunction’s latest release leverages a unique blend of static and dynamic analysis with proprietary data science to tackle architectural technical debt (ATD). Unlike traditional code generation tools, vFunction provides architectural context to GenAI assistants, enabling them to address system-wide issues rather than isolated code changes. Amir Rapson, CTO and co-founder, stated, “We’re turning architectural observability into action. Instead of just showing teams what’s wrong with their applications, we’re giving them AI-powered tools to fix these problems automatically.”
vFunction’s platform enhances developer workflows with:
Architectural Context: Combines static and dynamic analysis to identify optimal application domains, guiding assistants like Amazon Q Developer and GitHub Copilot to resolve dependencies and modularize code.
MCP Server: Connects vFunction’s observability engine to IDEs and command lines, enabling developers to query and remediate issues using GenAI prompts.
Automated Refactoring: Addresses dead code, circular dependencies, god classes, and outdated patterns, improving scalability and resilience.
Service Transformation: Supports API integration and microservices extraction for cloud-native architectures.
These features streamline refactoring, as highlighted by posts on X noting vFunction’s ability to compress modernization timelines significantly.
The 2024 Stack Overflow Developer Survey indicates 76% of developers use or plan to use AI tools. vFunction’s solution meets this demand by enabling architecture-aware refactoring, unlike standard AI assistants that focus on syntax. Its integration with Amazon Q Developer, which supports Java migrations, and GitHub Copilot, known for multi-language support, enhances developer productivity. Enterprises benefit from faster cloud migrations, with vFunction’s tools reducing the complexity of modernizing legacy Java and .NET applications.
Available now, vFunction’s platform integrates natively with Amazon Q Developer and GitHub Copilot, accessible via IDEs and command lines. The MCP server allows developers to trigger remediation directly, aligning architectural vision with execution. This closes the gap between architects and developers, making modernization actionable within existing workflows.
vFunction’s GenAI-powered architectural intelligence sets a new standard for application modernization, enabling enterprises to achieve cloud-native resilience and scalability with unprecedented speed.
vFunction, the pioneer of AI-driven architectural observability and modernization, delivers a platform that leverages code assistants to resolve architectural technical debt — accelerating cloud modernization, boosting quality, scalability, and engineering velocity. Global system integrators and top cloud providers partner with vFunction to help leading companies like Intesa Sanpaolo and Trend Micro discover their architecture and transform applications—accelerating innovation and amplifying business impact. vFunction is headquartered in Menlo Park, CA, with offices in Israel, London and Austin, TX.
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