AI Overwrites Design, Not Just Drifts
Cryptographic Provenance Detects Drift, Constraints Prevent Overwrites
Snuglab found that general error rates for AI refactoring in 2024–2025 deployments are significant, with AI agents failing approximately 70% of the time when performing multi-step tasks. Cryptographic provenance frameworks establish authenticity by hashing generated content and signing it with metadata like