Deterministic Quality Gates and Governance for AI-Generated Code in Regulated Software Systems

Key Points

• The aim is to develop a governance and quality-gating system for AI-assisted software development in regulated environments.
• Introduced deterministic AI drift gates to monitor code changes.
• Implemented provenance-tagged fix packets for traceability.
• Utilized supervised multi-agent workflow controls to enhance oversight.
• Produced audit-ready evidence suitable for regulatory compliance.
• Enhanced the reliability of AI-assisted software development processes.
• Improved monitoring and control of AI-generated code outputs.