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This article discusses the concept of agentic loops for automating work with AI, providing eight tips for writing quality loops, and introduces loop engineering as a method to reduce developer bottlenecks by designing systems that prompt agents automatically.
Greg Isenberg recommends a 22-minute video that clearly and practically explains the concept of agentic loops, whether it's hype, and real use cases.
Explores the shift from human-in-the-loop to autonomous agent loops in AI coding, where agents self-prompt and iterate, discussing both the promise and the hidden costs of reduced human control.
Qwen 3.7-max outperformed Opus 4.7 and GPT-5.5 on an agentic Tetris bot task, achieving the largest performance improvement at the lowest cost.