Agentic AI with .NET Tutorial
Lesson 3 of 9 33% of course

Planning and ReAct Loops

2 · 5 min · 5/23/2026

Learn Planning and ReAct Loops in our free Agentic AI with .NET Tutorial series. Step-by-step explanations, examples, and interview tips on Toolliyo Academy.

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Planning and ReAct Loops — Agentic AI with .NET Tutorial
Advanced track — Semantic Kernel

Advanced Planning and ReAct Loops in Agentic AI with .NET Tutorial. Deep dive with production-oriented examples—not a shallow overview.

Architecture & mental model

React hooks attach state and side effects to function components. Rules: only call hooks at top level, only from React functions. useEffect syncs with external systems—dependencies must be complete to avoid stale closures.

Implementation (production-style)

Type the code below; change names and types to match your domain. Compare with how Semantic Kernel teams structure layers in mature codebases.

import { useState, useEffect, useCallback } from 'react';

export function UserList() {
  const [users, setUsers] = useState([]);
  const [error, setError] = useState(null);

  const reload = useCallback(async () => {
    setError(null);
    try {
      const res = await fetch('/api/users');
      if (!res.ok) throw new Error('Failed');
      setUsers(await res.json());
    } catch (e) {
      setError(e.message);
    }
  }, []);

  useEffect(() => { reload(); }, [reload]);

  if (error) return 

{error}

; return
    {users.map(u =>
  • {u.name}
  • )}
; }

Decision checklist

  • Requirements: What are latency, consistency, and security needs for "Planning and ReAct Loops"?
  • Boundaries: Which layer owns this logic (UI, API, domain, infrastructure)?
  • Failure modes: What happens when dependencies time out or return partial data?
  • Observability: What logs or metrics prove this feature works in production?

Hands-on lab (45–60 min)

  1. Reproduce the primary example for "Planning and ReAct Loops" in a scratch project using Semantic Kernel.
  2. Add one automated test (unit or integration) that would fail if you break the core behavior.
  3. Introduce a deliberate bug (wrong lifetime, missing await, wrong dependency order) and observe the symptom.
  4. Document one trade-off you would present in a design review.

Pitfalls senior engineers avoid

  • Missing dependency arrays.
  • Deriving state that should be computed during render.
  • Huge effects that should split or use custom hooks.

Interview depth

Question: Explain Planning and ReAct Loops to a junior developer in 2 minutes, then list two trade-offs.

Strong answer: Start with the problem it solves, describe one real project usage, mention a failure you debugged or would test for, and close with alternatives (when not to use this approach).

Next level

Pair this lesson with official docs for Semantic Kernel, then read source or decompile one framework call path involved in "Planning and ReAct Loops". Advanced mastery comes from combining reading, debugging, and shipping.

Summary

You completed an advanced treatment of Planning and ReAct Loops. Revisit after building a feature that uses it end-to-end; spaced repetition with real code beats re-reading alone.

Test your knowledge

Quizzes linked to this course—pass to earn certificates.

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Agentic AI with .NET Tutorial

On this page

Architecture & mental model Implementation (production-style) Decision checklist Hands-on lab (45–60 min) Pitfalls senior engineers avoid Interview depth Summary
Agentic Concepts
From Chatbots to Agents Tools, Plugins, and Function Calling Planning and ReAct Loops
.NET Implementation
Semantic Kernel Setup Create Plugins for Your Domain Multi-Step Plans with SK Persist Agent State
Reliability
Evaluation and Regression Tests Agentic AI Interview Questions