AI-built codebase is probably ungoverned. Here's what that means (shaunwilliamson3.substack.com)

Recent developments in AI software governance have highlighted a significant oversight: many AI-generated codebases lack adequate oversight and verification mechanisms. Despite utilizing tools like Claude, Cursor, and Replit to build functional products, creators often cannot definitively demonstrate their software's true operations, including decision-making processes, authority checks, and evidence requirements. This governance gap can lead to challenges during audits or when addressing customer inquiries. To bridge this gap, Shaun Williamson has introduced the Auditome Sovereign Engine (ASE), which generates cryptographically signed receipts for every AI-assisted action taken within the software. These receipts detail specific aspects such as authority, policy application, and the considerations for any decision made, whether it involved execution or rejection. This infrastructure allows for independent verification of actions, making it easier to track governance discrepancies and provide an evidence-backed analysis of any AI-built codebase. Williamson is also offering a limited-time diagnostic service to assess AI-enabled systems, helping developers identify and rectify governance, traceability, and risk-related gaps before they become problematic.