AI-Generated Code Quality Crisis

76% of AI-generated code needs refactoring. Urges context-aware security, treating AI code as a governed input, and integrating security reviews into AI-assisted development workflows. A new government-focused article reinforces policy-as-code and compliance-as-code. The Agentic Development Lifecycle (ADLC) article reveals 81% of orgs have no visibility into AI usage, with stage-by-stage risks including hallucinated dependencies and secrets in prompts—actionable for on-prem/hybrid teams. A recent article on AI application security emphasizes that AI reasoning cannot replace deterministic assurance; layered defense with SAST, SCA, DAST, and AI is non-negotiable.