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Supporting AI Initiatives

MDVisual is designed to support modern IBM i transformation initiatives by providing highly accurate structural analysis and contextual mapping.

AI-Assisted Analysis

Its combination of:

  • Intelligent variable mapping
  • Detailed ILE analysis
  • Precise dependency tracing
  • Structured visualization
  • Context-rich metadata

creates a trusted analytical foundation for modernization projects and AI-assisted development workflows.


AI-Assisted Refactoring and Modernization

One of MDVisual’s most significant advantages is the way it enhances AI-driven analysis, refactoring, conversion, and modernization initiatives.

Traditional AI-based modernization approaches often struggle with legacy IBM i applications because the underlying business logic, variable relationships, parameter flows, and procedural contexts are not explicitly available to the AI model. This can lead to incomplete understanding, incorrect assumptions, and AI hallucinations during analysis or code generation.

MDVisual addresses this challenge by pre-mapping application structures and relationships before AI analysis occurs.

Through its intelligent parsing and metadata analysis, MDVisual builds a permanent contextual knowledge layer across the application environment, including:

  • Variable relationships and usage contexts
  • Cross-program parameter mapping
  • File and field interactions
  • Procedure-level dependency tracing
  • ILE call structures
  • Data flow relationships
  • Business logic associations

This effectively creates a persistent form of application-specific Retrieval-Augmented Generation (RAG), where AI tools operate against a deeply contextualized and validated representation of the IBM i application landscape.

Instead of relying solely on raw source code interpretation, AI systems can leverage MDVisual’s structured mappings and relationship models to:

  • Improve modernization accuracy
  • Reduce hallucinations
  • Generate more reliable refactoring recommendations
  • Perform safer automated code transformations
  • Accelerate code conversion initiatives
  • Improve dependency awareness
  • Preserve business logic integrity
  • Enhance developer productivity

Because the contextual mapping is permanently maintained within the repository, organizations benefit from continuously reusable analytical intelligence that supports not only one-time modernization projects, but also ongoing maintenance, enhancement, onboarding, governance, and AI-assisted development workflows.

This combination of human-readable visualization and machine-consumable contextual intelligence makes MDVisual uniquely positioned to support the next generation of AI-enabled IBM i modernization strategies.