⚡ AI Engineering
Agent Architecture
Patterns for building AI agents that reason, act, and iterate autonomously. Not theoretical — these are the exact patterns running in your Claude Code framework: skills that execute, agents that plan, memory that persists, and guardrails that keep it safe.
2
Minutes
5
Concepts
+45
XP
1
The ReAct Loop
The foundation of tool-use agents. Claude Code runs this loop on every task you give it.
┌──────────────────────────────────────┐
│ User Task / Goal │
└──────────────┬───────────────────────┘
▼
┌──────────────────────────────────────┐
│ REASON: Analyze state, plan next │◄──────┐
│ step based on goal + context │ │
└──────────────┬───────────────────────┘ │
▼ │
┌──────────────────────────────────────┐ │
│ ACT: Call a tool (Read, Edit, Bash, │ │
│ Grep, API call, etc.) │ │
└──────────────┬───────────────────────┘ │
▼ │
┌──────────────────────────────────────┐ │
│ OBSERVE: Process tool result, │───────┘
│ update understanding │
└──────────────┬───────────────────────┘
▼
┌──────────────────────────────────────┐
│ DONE: Goal achieved → respond │
└──────────────────────────────────────┘