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The video introduces 'loops' as an advancement over standard AI prompting in coding. While traditional agentic workflows require a human to repeatedly prompt the AI, loops allow the agent to operate autonomously towards a specified end goal until that goal is met, effectively automating the development cycle. The creator highlights the difference between an automation (which executes based on a trigger) and a loop (which includes decision-making to verify if a goal is complete). Using the 'Cursor' IDE, the video demonstrates practical implementation through automation settings, triggers, and goal-setting. Finally, the creator discusses the challenges of this approach, specifically the high cost of token usage when agents operate autonomously and the difficult skill of defining precise goals for non-deterministic tasks.