Agentic AI Coding Shifts Risk Model Beyond Suggestion Tools

Claude Code, Anthropic's fully autonomous coding system, reads codebases, edits files, runs tests, and commits changes directly. This operational agency differs fundamentally from suggestion-based assistants. Teams deploying such tools must rethink code review practices, CI/CD checkpoints, and audit trails. An agent-generated commit that appears correct but contains subtle errors—in security or data migration logic—may elude review that would catch obvious human mistakes. The velocity gains are genuine; the risk profile requires proportional investment in review quality.