SC

Replai Knowledge Layer

Understanding your legacy application through recovered metadata and business intent analysis

Total Entities
13

2 Modules5 Forms

Dependencies
26

6 Cross-module

Complexity Score
6.8

Low complexity

Analysis Sessions
47

12 this week

Codebase Health
Key metrics and modernization readiness
Modularity
85%
Documentation Coverage
72%
Circular Dependencies
3
Dead Code
8%
Modernization ReadinessGood
Entity Distribution
Breakdown by component type
Forms
2
Blocks
2
Items
3
Triggers
1
LOVs
1
Reports
1
Canvas
1
Modules
2
AI Agent Insights
Multi-agent analysis of your legacy codebase

Well-Structured Module Architecture

Your application follows a clean modular design with clear separation between SampleApp and ReportModule. This semantic structure will simplify modernization to microservices or cloud-native architectures.

ArchitectureLow Risk

Cross-Module Dependencies Detected

EmployeeReport references DataBlock across module boundaries. Our semantic layer reveals the business intent - consider creating a service boundary to enable independent deployment during modernization.

DependenciesMedium Risk

Business Logic Metadata Recovered

EmployeeLOV used by multiple forms - our semantic analysis reveals this represents a reusable "Employee Selection" business capability. Can be rebuilt as a shared component in any target stack: React, Angular, or Oracle Apex.

Metadata RecoveryOpportunity
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Recent Analysis Activity
Your team's activity over the last 7 days

Analyzed MainForm dependencies

Sarah ChenSampleApp Module

2 hours ago

Asked about trigger optimization

Michael RodriguezWhenNewFormInstance

5 hours ago

Exported dependency report

Sarah ChenFull Application

Yesterday

Identified circular dependency

Alex ThompsonReportModule

2 days ago