Phase 15 · AI Agents & Orchestration

Topics

Agent Architectures (ReAct, Plan-and-Execute)

Part of the AI Engineer Roadmap.

Summary

Patterns for how an LLM reasons and acts iteratively — ReAct interleaves reasoning and tool calls step by step, Plan-and-Execute plans a full sequence upfront then executes it.

How to Learn This

  • 1Read the original ReAct paper's core loop: thought, action, observation, repeat.
  • 2Implement a minimal ReAct-style agent from scratch before relying on a framework.
  • 3Compare ReAct's flexibility against Plan-and-Execute's predictability for a specific task.
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