أنماط التفكير متعدد الخطوات

وكلاء الذكاء الاصطناعي في الإنتاج يستخدمون أنماط تفكير متطورة لحل المشاكل المعقدة. هذه الأنماط—ReAct وChain-of-Thought وTree-of-Thought—تظهر عبر المطالبات النظامية الحقيقية.

نمط ReAct (التفكير + الفعل)

النمط الأكثر شيوعاً في الأنظمة الوكيلية:

ReAct Framework:
For each step in solving a problem:

1. THOUGHT: Analyze current situation
   - What do I know?
   - What do I need to find out?
   - What's the best next action?

2. ACTION: Execute a specific action
   - Use available tools
   - Gather information
   - Make changes

3. OBSERVATION: Process the results
   - What did I learn?
   - Did it work as expected?
   - Do I need to adjust?

Repeat until task is complete or blocked.

ReAct في Claude Code

من المطالبة النظامية لـ Claude Code:

When solving problems:
1. Understand the task requirements
2. Search for relevant code using Glob/Grep
3. Read files to understand context
4. Plan your approach
5. Execute changes incrementally
6. Verify each change works
7. Run tests to confirm

Never modify code you haven't read.

ReAct في Cursor

وضع الوكيل في Cursor ينفذ ReAct:

Agent Mode Reasoning:
- Analyze user request
- Search codebase for context
- Identify files to modify
- Make targeted changes
- Validate changes compile
- Run relevant tests
- Report results

سلسلة التفكير (CoT)

التفكير خطوة بخطوة بشكل صريح:

Chain-of-Thought Prompt:
When solving complex problems, think step by step:

Step 1: Understand the problem completely
- Restate the problem in your own words
- Identify inputs, outputs, constraints

Step 2: Break into subproblems
- What are the major components?
- What order should they be solved?

Step 3: Solve each subproblem
- Work through each component
- Document your reasoning

Step 4: Combine solutions
- How do parts fit together?
- Are there integration issues?

Step 5: Verify the solution
- Does it meet all requirements?
- Are there edge cases?

CoT في وضع التفكير GPT-5.2

متغير GPT-5.2 Thinking يستخدم CoT صريح:

GPT-5.2 Thinking Mode:
<thinking>
Let me work through this step by step:

1. First, I need to understand what the user is asking...
2. The key constraints are...
3. I'll approach this by...
4. Potential issues include...
5. My solution will...
</thinking>

Based on my analysis, here's my recommendation...

CoT في Gemini 3

Gemini 3 Flash ينفذ وضع "Deep Think":

Deep Think Activation:
When complex reasoning is needed:
- Pause before responding
- Break problem into logical steps
- Consider multiple approaches
- Evaluate tradeoffs
- Select best solution
- Explain reasoning clearly

شجرة التفكير (ToT)

استكشاف مسارات حل متعددة:

Tree-of-Thought Pattern:
For complex decisions, explore multiple branches:

Problem: {{problem_statement}}

Branch A: Approach 1
├── Pros: ...
├── Cons: ...
└── Estimated success: 70%

Branch B: Approach 2
├── Pros: ...
├── Cons: ...
└── Estimated success: 60%

Branch C: Approach 3
├── Pros: ...
├── Cons: ...
└── Estimated success: 85%

Selected: Branch C
Reasoning: Highest success probability, acceptable tradeoffs

ToT في تخطيط Devin

Devin 2.0 يستخدم ToT لقرارات البنية:

Architecture Decision:
Task: Add authentication to API

Option 1: JWT tokens
- Stateless
- Scalable
- Complexity: Medium

Option 2: Session cookies
- Familiar pattern
- Server state required
- Complexity: Low

Option 3: OAuth 2.0
- Industry standard
- External providers
- Complexity: High

Recommendation: JWT tokens
- Matches existing stateless architecture
- Team has experience
- Scalable for future needs

التفكير بالمخرجات المنظمة

العديد من الوكلاء يستخدمون تنسيقات منظمة:

Structured Reasoning Template:
<analysis>
  <understanding>
    What I understood from the request...
  </understanding>
  <approach>
    How I plan to solve this...
  </approach>
  <risks>
    What could go wrong...
  </risks>
  <decision>
    What I decided to do and why...
  </decision>
</analysis>

تفكير XML في Claude

نماذج Claude تستخدم XML للتفكير المنظم:

Claude Reasoning Pattern:
<scratchpad>
Let me analyze this request:
- User wants to refactor the auth module
- Current code uses callbacks
- Should migrate to async/await
- Need to maintain backwards compatibility
</scratchpad>

<plan>
1. Identify all callback-based functions
2. Create async versions alongside existing
3. Add deprecation notices to old functions
4. Update tests for new implementations
5. Document migration path
</plan>

التحسين التكراري

وكلاء الإنتاج يحسنون الحلول:

Iterative Refinement Protocol:
1. Generate initial solution
2. Self-critique the solution
   - What's missing?
   - What could be better?
   - What are the edge cases?
3. Improve based on critique
4. Repeat until satisfactory

Max iterations: 3
Quality threshold: 80%

التحسين في v0

توليد واجهة المستخدم في v0 يستخدم التحسين التكراري:

v0 Refinement Loop:
1. Generate initial component
2. Check against design system
3. Validate accessibility
4. Verify responsive behavior
5. Optimize performance
6. Refine until meets standards

Standards:
- shadcn/ui compliance
- WCAG 2.1 AA
- Core Web Vitals pass

دمج الأنماط

أنظمة الإنتاج تجمع الأنماط:

Hybrid Reasoning (Cursor Agent):
1. ReAct for task execution
   - Think about next action
   - Execute action
   - Observe results

2. CoT for complex decisions
   - Step-by-step analysis
   - Document reasoning

3. ToT for architecture choices
   - Explore alternatives
   - Select best approach

4. Iterative refinement
   - Generate solution
   - Self-critique
   - Improve

إرشادات اختيار النمط

متى تستخدم كل نمط:

النمط	الأفضل لـ	مثال
ReAct	المهام متعددة الخطوات	التصحيح، إعادة الهيكلة
CoT	التفكير المعقد	تصميم الخوارزميات
ToT	اتخاذ القرارات	خيارات البنية
التكراري	تحسين الجودة	توليد واجهة المستخدم

رؤية رئيسية: وكلاء الإنتاج لا يستخدمون نمط تفكير واحد فقط. يجمعون ReAct للفعل، CoT للتحليل، ToT للقرارات، والتحسين التكراري للجودة. بنية المطالبة تنسق هذه الأنماط بناءً على متطلبات المهمة.

بعد ذلك، سنستكشف أنماط التصحيح الذاتي واسترداد الأخطاء. :::