LLM Inference Interview Questions #8 - The Multi-Agent Trap

Why dividing labor across planner, coder, and QA agents creates a lossy maintenance nightmare, and how elite teams unlock true multi-agent scaling through concurrent fan-out.

You’re in a Staff AI Engineer interview at Anthropic and the interviewer asks:

“Your team wants to split your agent into a planner, a coder, and a QA agent, ‘because that’s how real software teams work. Would you ship it?”

Don’t say: “Yes, specialization improves quality, just like a real engineering team.”

That’s the junior answer. It sounds mature. It’s …