Analysis highlights a growing need for verification and audit evidence in agentic AI code changes for software delivery
Other Provisional 35% confidence first seen
Two articles argue that AI coding agents can generate code changes faster than human teams can review them line by line, creating a “code confidence gap.” They recommend shifting software delivery toward explicit guardrails, verification, and auditable evidence—especially for regulated industries—rather than relying on standard review processes alone.