Block 4: Agentic Workflows

15:00 - 16:30 90 minutes 3 Quests

🎯 Learning Goals

เมื่อจบบล็อกนี้ คุณจะ:

สร้าง automated development loops
ออกแบบ multi-agent pipelines
ใช้ Plan-Implement-Validate (PIV) framework

📖 Concept: Agentic Workflows (30 min)

What are Agentic Workflows?

Agentic Workflows คือระบบที่ AI agents ทำงานร่วมกันอย่างอิสระ เพื่อบรรลุเป้าหมาย

The PIV Framework

Plan-Implement-Validate เป็น pattern หลัก:

┌─────────────┐
│    PLAN     │  วิเคราะห์งาน แบ่งเป็นขั้นตอน
└──────┬──────┘
       │
       ▼
┌─────────────┐
│  IMPLEMENT  │  สร้าง code ตาม plan
└──────┬──────┘
       │
       ▼
┌─────────────┐
│  VALIDATE   │  ทดสอบ ตรวจสอบคุณภาพ
└──────┬──────┘
       │
       ▼
   Pass? ──Yes──► Done
       │
       No
       │
       └──────► Back to PLAN

Why Use Loops?

Quality: ตรวจสอบก่อน deploy
Iteration: ปรับปรุงทุกรอบ
Automation: ลดงาน manual
Consistency: ได้ผลลัพธ์เดิมทุกครั้ง

🛠️ Loop Patterns

Pattern 1: Generate-Review-Fix

Generate Code → AI Review → Fix Issues → Repeat until quality

Pattern 2: Test-Driven Loop

Write Test → Generate Code → Run Test → Fix → Repeat

Pattern 3: Multi-Agent Pipeline

Planner → Coder → Reviewer → Tester → Deploy

Convergence Criteria

Loop ควรหยุดเมื่อ:

ผ่าน quality gate (เช่น 90% test coverage)
ไม่มี critical issues
ถึง max iterations

🎮 Code Quests

🟢 Quest 4.1: Set Up a Loop

Goal: Create a basic PIV loop

Understand the PIV framework
- Plan: Analyze task, create steps
- Implement: Execute each step
- Validate: Check if result meets requirements

Implement the loop controller

class PIVLoop {
  async plan(task) {}
  async implement(plan) {}
  async validate(implementation) {}
  async execute(task, maxIterations) {}
}

Test with a simple task
Verify convergence

Deliverable: Working PIV loop with tests

🟡 Quest 4.2: Generate-Review-Fix Loop

Goal: Create an iterative code improvement loop

Design the loop

Generate → Review → Fix → Quality Check
    ↑                      │
    └──────────────────────┘

Implement each phase
- Generate: AI writes initial code
- Review: AI checks for issues
- Fix: AI fixes identified problems
- Quality Check: Verify standards met
Add convergence criteria
Test with sample task

Deliverable: Working GRF loop with quality gates

🔴 Quest 4.3: Multi-Agent Pipeline

Goal: Create a pipeline with multiple AI agents

Design agent roles

Agent Role Responsibility

Planner Task Analysis Break tasks into steps

Coder Implementation Write code

Reviewer Quality Check Review code quality

Tester Validation Test code

Agent	Role	Responsibility
Planner	Task Analysis	Break tasks into steps
Coder	Implementation	Write code
Reviewer	Quality Check	Review code quality
Tester	Validation	Test code

Implement the pipeline

class Pipeline {
  addAgent(agent) {}
  async execute(task) {}
}

Connect agents in sequence
Test with complex task

Deliverable: Working multi-agent pipeline

✅ Block 4 Checklist

☐ Understand PIV framework
☐ Quest 4.1 completed
☐ Quest 4.2 completed
☐ Quest 4.3 completed

🚀 Next Block

Block 5: Architecture → Design complete AI-powered systems.

Continue to Block 5 →