legacy-step-validator

To validate legacy modernization artifacts against a step contract, you can use an automated review process that checks inventories and program analyses against predefined standards using Python scripts and AI semantic checks.

Automated artifact review for legacy spec modernization is the process of validating step artifacts against predefined contracts to ensure they meet required standards before advancing in the modernization workflow.

Yes, you can use AI semantic checks alongside Python scripts to review draft inventories, program analyses, and specs, ensuring they meet contract-defined standards and generating structured review reports with SME-readiness notes.

You generate SME-readiness reports for step artifact validation by running automated checks against the Step Contract and evidence references, producing structured review reports that include detailed findings and readiness notes.

To start automated validation of step artifacts, you need the predefined Step Contract, the draft artifacts located in directories like '01_inventory/', and the necessary evidence references for the AI semantic checks.

A limitation of automated validation for legacy spec factory workflows is that it strictly requires the Step Contract and evidence references to function, relying entirely on these inputs to verify artifact standards and generate review reports.