Apr 10
Loading video player...
One AI agent is powerful. Multiple AI agents working together? That's where it gets interesting — and messy. I break down AI agent orchestration: the coordination layer that turns a single overwhelmed agent into a team. Watch what happens when one agent tries to handle a complex project alone, then see the fix using Claude Code's multi-agent capabilities. Part 2 of my AI Agents series. Part 1 covered how agents work under the hood — watch it first if you haven't. What's covered: → Why single agents fail on complex, multi-part tasks → Three orchestration patterns: sub-agents, agent teams, coordinator mode → Live demo: single agent vs orchestrated team, same task → The tool landscape: what's built-in vs frameworks vs fleet orchestrators → When to orchestrate — and when it's overkill Resources: - Claude Code Agent Teams: https://code.claude.com/docs/en/agent-teams - LangGraph: https://langchain-ai.github.io/langgraph/ - CrewAI: https://crewai.com Part 1: How AI Agents Actually Work → https://youtu.be/jhn10BsDK0o #AIAgents #AgenticAI #Orchestration #ClaudeCode #MultiAgent #AI #SoftwareEngineering AI agents, AI agent orchestration, multi-agent systems, agent teams, claude code, claude code agent teams, sub-agents, langgraph, crewai, agentic AI, AI orchestration explained, AI coordination, multi-agent tutorial, AI workflow, claude code tutorial, AI engineering