PrismaDV: AI System Generates Task-Aware Data Unit Tests by Analyzing Downstream Code

arXiv·medium signal

PrismaDV is a compound AI system that analyzes downstream task code together with dataset profiles to identify data access patterns and infer implicit data assumptions, then auto-generates data validation tests tailored to what the consuming code actually needs. Current data testing frameworks are task-agnostic and validate datasets without considering downstream semantics. For data engineering teams, this means validation that catches the data issues your code will actually trip on.