AI TOOL PROFILE
vFunction | AI-Driven Architectural Modernization
- Software Development
- Application Modernization
- Enterprise software companies
- Companies with legacy Java or .NET monoliths
- Software architects
- Development teams transitioning to cloud-native architectures
Pricing
Pricing is based on application count (t-shirt sizing) with volume discounts available for packs of 10, 20, 30, or 50+ apps. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise software companies, Companies with legacy Java or .NET monoliths, Software architects, Development teams transitioning to cloud-native architectures
- Key use cases
- Monolith to Microservices Transformation, Cloud Migration Support, Framework Upgrades, Managing Distributed Architecture
- Integrations
- GitHub Copilot, Amazon Q, Jira, Azure DevOps, Slack
- Official website
- Visit vfunction official website
How AI is used
vFunction is a technical platform designed for the architectural transformation of complex Java (1.6+) and .NET (4.0+) applications. It uses runtime and static analysis combined with data science to visualize application structures and identify domain boundaries, which supports the process of breaking down a monolith into microservices.
The tool is aimed at companies in industries such as financial services, automotive, and manufacturing. It supports a workflow that moves from data collection and visualization to modularization and service extraction, providing prompts that guide AI code assistants during the refactoring process.
Buyers should note that this is a high-technical-level tool. It is designed to integrate into the software development lifecycle by providing architectural context to tools like GitHub Copilot and Amazon Q. It supports on-premises deployment to keep data within the customer environment.
Key Features
Runtime and Static Analysis
Analyzes applications dynamically and statically to map functional domains, entry points, and dependencies.
AI-Driven Refactoring Plans
Generates structured modernization plans and prompts that may be used by AI code assistants to modularize code.
Automatic Code Extraction
Supports the extraction of domains into separate services and the generation of associated APIs and client libraries.
Architectural Visualization
Generates sequence diagrams, service maps, and C4 diagrams to document system architecture in real time.
Technical Debt Quantification
Monitors for architectural drift, dead code, and circular dependencies to help teams quantify risk.
OpenTelemetry Integration
Uses OpenTelemetry to manage and document distributed architectures after modernization.
Use Cases
Monolith to Microservices Transformation
Identifying domain boundaries in legacy Java or .NET apps to extract them into modular, cloud-native services.
Cloud Migration Support
Analyzing on-premises applications to support the transition from lift-and-shift to containers or serverless platforms.
Framework Upgrades
Using AI-guided prompts to modernize aging frameworks, such as migrating from JEE to Spring Boot.
Managing Distributed Architecture
Monitoring post-modernization environments to detect architectural drift.
Integrations
- GitHub Copilot
- Amazon Q
- Jira
- Azure DevOps
- Slack
- OpenTelemetry
FAQ
What languages does vFunction support?
- vFunction supports Java applications (version 1.6 and above) and .NET applications (version 4.0 and above).
How is vFunction priced?
- Pricing is based on the number of applications and services observed, using a t-shirt size model with volume discounts for larger app packs.
Where is vFunction deployed?
- It is primarily installed on-premises so that data remains within the customer environment, though cloud versions may be available on a case-by-case basis.
Does vFunction replace AI code assistants like GitHub Copilot?
- No, it is designed to integrate with them, providing the architectural context and prompts these assistants need to refactor complex legacy systems.
Source category: Software Development
Source subcategory: Application Modernization
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