Phase 15 · AI Agents & Orchestration
TopicsAgent 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.
More topics in AI Agents & Orchestration
Stuck on this topic? Ask an Insider
Get 1:1 guidance from people who've walked this exact path — free on the InsideEdge app.