Claude Code Can Now 'Loop' Through Work on Its Own: Anthropic Releases Four Loop Mode Guide That Lets AI Run Entire Processes

The core operating pattern of AI Agents: perceive environment → decide → execute action → observe results → decide again, cycling until the task is complete. The key mechanism that upgrades AI from "one question, one answer" to "autonomously completing multi-step tasks."

A task process executed autonomously by AI Agents, involving multiple steps and tool calls. Unlike one-shot Q&A, Agentic Workflows let Claude continuously sense environmental state, plan next actions, execute operations (search, write files, call APIs), observe results, then decide the next step — until the task completes or a stopping condition is reached. The core architecture for upgrading Claude from 'assistant that answers questions' to 'executor that can proactively complete work.'

Agent Orchestration is an architecture in which one orchestrating agent breaks a complex goal into sub-tasks and delegates each to specialized worker agents, then integrates all outputs into a complete result. An analogy: you want a full market research report; the <a href="https://aiagent-bible.com/en/glossary/multi-agent/orchestrator/" target="_blank">Orchestrator</a> plans the steps, sends one agent to research competitors online, another to draft the analysis, and a third to review — while you only communicate the goal to the orchestrator.