Claude Code and Codex have revolutionized programming efficiency, providing developers with productivity gains that surpass even hardware upgrades. These AI assistants can implement code faster than humans, though concerns about code safety and oversight remain prevalent. The article challenges conventional wisdom about manual code review and permission management for AI assistants, arguing that agents often produce better code by considering broader repository context.

Contrary to common fears, coding agents rarely perform unsafe actions when given appropriate permissions. The author disputes the necessity of manual code review, noting agents frequently write better code than humans by understanding larger codebases. The real safety issue lies in permission structures rather than agent behavior itself, especially for high-stakes environments where destructive actions could have serious consequences.

The author recommends running agents in YOLO mode with liberal permissions, except for destructive commands like `rm -rf`. For enhanced safety, they limit admin-level access and use another coding agent for code reviews. This approach balances functionality with security, though the author acknowledges more caution is needed in high-security domains where mistakes could be catastrophic.