Claude Code
ReAct Pattern
An agent architecture that interleaves Reasoning and Acting in a loop.
In depth
An agent architecture that interleaves Reasoning and Acting in a loop. The agent reasons about what to do next, takes an action (calls a tool), observes the result, and then reasons again about the next step. This reason-act-observe cycle repeats until the task is complete. ReAct combines the strengths of chain-of-thought reasoning with tool use, and it is the foundational pattern behind most modern AI agents including Claude Code.
Example
In practice, developers reach for ReAct Pattern when they need the capability described above as part of an AI feature or workflow.
Go deeper at Developers Digest
Hands-on guides, comparisons, and tutorials that cover Claude Code.
FAQ
What is ReAct Pattern?
An agent architecture that interleaves Reasoning and Acting in a loop.
Why does ReAct Pattern matter for AI developers?
ReAct Pattern sits in the Claude Code part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about ReAct Pattern?
Developers Digest publishes tutorials and videos that cover Claude Code topics including ReAct Pattern. Check the blog and YouTube channel for hands-on walkthroughs.
Related terms
Claude Code
Orchestrator-Worker Pattern
A multi-agent architecture where a central orchestrator agent receives a task, decomposes it into sub-tasks, assigns each to a specialized worker agent, monitors progress, and synthesizes results.
Claude Code
Delegation Pattern
A multi-agent architecture where a manager agent breaks a task into sub-tasks and assigns each one to a specialized worker agent.
Claude Code
Fan-Out/Fan-In
An agent orchestration pattern where a coordinator splits work into parallel sub-tasks (fan-out), distributes them to multiple agents, waits for all results, and then combines them into a single output (fan-in).
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