The reviewer can't be the author: independent verification for AI-generated code

AI agents write more of your code every day, and their failures are getting rarer but more convincing. When the output looks right, reviewers stop looking hard, and a subtle bug or insecure pattern spreads across the codebase at machine speed. The fix is not a better model. It is independent, multilayered verification: checking code with different methods than the one that wrote it. Algorithmic analysis catches what is provably wrong, agentic review catches what needs judgment, and together they stay auditable instead of just agreeing with the agent. This is the Verify discipline at the heart of Sonar's Agent Centric Development Cycle (AC/DC), where agents generate and a separate layer guides, verifies, and helps solve what it finds. We put the leading LLMs through a deep evaluation and found clear, repeatable patterns in where they break. You will see that data, and how to put this verification around your agents so you keep the speed without the risk.