Production Multi-Agent System
Advanced⏱ 3–4 weeks · 6 milestones
Build a supervisor-worker multi-agent system where a coordinator agent delegates subtasks to specialist agents (researcher, coder, writer) with shared memory.
Difficulty
Advanced
Duration
3–4 weeks
Milestones
6 steps
Interview Qs
4 questions
🛠 Tech stack
✅ Prerequisites
- ● Built a basic agent
- ● Advanced Python
- ● System design basics
Step-by-step milestones
Design agent topology
Define supervisor, specialist agents, and communication protocol.
Implement supervisor
Router that decomposes tasks and delegates.
Implement specialist agents
Researcher, coder, writer with appropriate tools.
Shared memory layer
Use Redis for cross-agent state.
Human-in-the-loop
Add approval checkpoints for risky actions.
Monitoring + debugging
Visualize agent communication and task flow.
Skills you'll build
📝 Interview questions you'll face
- 1.How do you prevent agents from contradicting each other?
- 2.How do you handle a specialist agent failing?
- 3.How do you design agent communication protocols?
- 4.What are the token cost implications of multi-agent systems?
🌟 Portfolio guidance
Build it for a real use case (e.g. AI research assistant, code review system). Diagram the agent topology and include a demo video.