We've spent the last few years talking about prompt engineering, then context engineering, and more recently, agent engineering. Now, a new concept is gaining attention: Loop Engineering.
Loop Engineering is quickly becoming one of the most important concepts in modern AI. As organizations move beyond prototypes to production, success is no longer determined by a single prompt or even a single agent. It's about designing systems that can plan, execute, evaluate, learn from feedback, and continuously improve. These iterative loops make AI more reliable, resilient, and trustworthy in real-world applications. I believe the next wave of innovation will come from teams that master not only models but also the feedback and decision-making loops that surround them. The future of AI is not just intelligent responses—it's intelligent iteration.