Agentic AI goes 'loopy' as autonomous agent swarms run continuously in the background
Tags AI · Enterprise
A new pattern called 'the loop' is emerging in agentic AI, where a swarm of autonomous agents is authorized to work continuously in the background without human intervention. The concept, discussed by AI engineers including Boris Cherny, takes agentic AI a step further by removing the human-in-the-loop checkpoint, allowing agents to iterate endlessly on tasks. The approach raises questions about resource consumption, error propagation, and the practical limits of autonomous AI systems. Early implementations are being tested in software development and research automation, where the cost of an erroneous agent action is relatively low.
Technical significance
The shift from human-in-the-loop to fully autonomous agent swarms represents a fundamental change in how AI systems are architected. The risk is that without human checkpoints, errors compound — an agent that makes a wrong assumption early in a loop will continue building on that error indefinitely. The compute cost of continuous background agent execution is also significant, which means this pattern will likely be limited to high-value tasks where the cost of human oversight exceeds the cost of occasional agent mistakes.