ApplicationLandscape2Markdown extracts architectural information from the OutSystems platform metamodel and produces a structured Markdown document describing applications, modules, dependencies, entity ownership, and external integrations. 

The generated output is designed for both human consumption and AI-assisted analysis, making it suitable for architecture reviews, technical documentation, application discovery, modernization initiatives, and prompt engineering scenarios involving tools such as Microsoft Copilot, ChatGPT, Claude, and similar assistants. 

Instead of manually navigating through Service Studio, Service Center, and platform metadata, teams can generate a consolidated, structured view of their solution landscape in a single export.

Key Features

Automatically inventories

• Applications 
• Modules 
• Application boundaries 
• Solution composition

Classifies modules into architectural layers based on naming conventions:

• End User 
• Core 
• Foundation 
• Unclassified

Identifies

• Module-owned entities 
• Entity ownership boundaries 
• Entity metadata 
• Physical database mappings

Discovers entity-based dependencies between modules and applications:

• Internal application dependencies 
• Cross-application dependencies 
• Referenced entities 
• Dependency pairs

Inventories consumed integrations from:

• REST Web References 
• SOAP Web References

Markdown Export

• Overview 
• Application Catalogue 
• Architecture Classification 
• Entity-Based Dependency Diagram 
• Integration Diagram 
• Module Catalogue 
• Cross-Application Dependencies 
• Integration Landscape 
• Architecture Context 
• Known Limitations

Mermaid Diagram Generation

Automatically generates Mermaid diagrams that can be rendered in: 

• GitHub 
• Azure DevOps 
• Confluence (with Mermaid support) 
• Markdown viewers 
• Documentation portals