ai-unified-process/aiup-core
AI Unified Process - stack-agnostic core methodology (requirements, entity model, use cases)
95
Quality
95%
Does it follow best practices?
Impact
—
Average score across 12 eval scenarios
Securityby
High
Do not use without reviewing
Evaluation results
Failed
Business-level use case step writing and multi-file use cases
Failed
End-to-end test case document chaining two use cases
Failed
Entity model ER diagram and attribute table format
Failed
Entity model validation rules and multi-column constraints
Failed
Large codebase clustering strategy for reverse engineering
Failed
PlantUML use case diagram from requirements
Failed
Requirements catalog format and quality checks
Failed
Requirements error recovery from ambiguous vision
Failed
Reverse-engineer a C# / Blazor .NET 10 project into AI Unified Process artifacts
Failed
Reverse-engineer Express.js codebase to AI Unified Process artifacts
Failed
Updating an existing use case diagram when requirements change
Failed
Use case spec completeness and structure
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6