What problem does it solve? Legacy SAS programs in pharma QC environments must be modernized without losing the audit checkpoints and conclusionary reports that regulators and managers depend on, and manual rewrites risk silent behavioral divergence. ## Core Features & Use Cases - Structured Migration Workflow: Inventory DATA steps, PROC steps, macros, and library references, then map each to Python (pandas/polars), Java, or Postgres equivalents with documented divergence notes. - Audit Checkpoint Preservation: Every SAS checkpoint gets a named equivalent in the migrated code, with a checkpoint map linking SAS names to extraction methods. - Fidelity Verification & Effort Tracking: Run both versions on identical inputs, compare conclusionary reports, and log hours per phase to calibrate cost estimates for remaining programs. - Use Case: A pharma team piloting migration of 3 SAS programs uses this workflow to produce migrated code, fidelity notes, and effort logs that feed cost re-estimation for 33 remaining programs. ## Quick Start Start a SAS migration session by asking the assistant to inventory a SAS program and map its DATA steps and checkpoints to a Python equivalent.