Phase 4: Orchestrator
Goal: The learner moves from building single agents to designing multi-agent systems, managing production concerns, and collaborating with traditional software engineers as equals. This is the full stack.
What You Can DO After This Phase
Section titled “What You Can DO After This Phase”- Design multi-agent architectures with clear role separation
- Reason about cost, reliability, and security of AI systems
- Manage complex memory architectures across sessions and agents
- Run agentic project management workflows
- Speak precisely with traditional engineers using correct terminology
- Make build-vs-buy decisions for AI infrastructure
- Evaluate new AI tools and frameworks using first principles
Sections
Section titled “Sections”| Section | Topic |
|---|---|
| 4.1 — Multi-Agent Architecture | Why multiple agents, 4 patterns, key design decisions |
| 4.2 — System Design | Scaling mental models, load balancers, caches, containers |
| 4.3 — Memory Architecture | 4-layer memory stack, design decision questions |
| 4.4 — Agentic Project Management | Traditional vs agentic PM, practical 5-step workflow |
| 4.5 — Speaking Engineer | Infrastructure and code collaboration vocabulary |
| 4.6 — Production Thinking | Reliability, security, cost, observability, recovery |
| 4.7 — The Full Stack | The complete 7-layer picture of what you now understand |
| 4.8 — Vocabulary | The complete lexicon — all ~150 terms |
Previous phase: Phase 3 — Agent Architect