Issue 9, Sep 28, 2026

The Role-Based Multi-Agent Trap

Senior AI Engineer interview at Google DeepMind, and the interviewer asks:

“Your ‘AI software team’ of PM agent → coder agent → tester agent beats a single agent on standard GitHub issues. But the moment a task doesn’t fit that shape, it falls apart. Why? And when does one well-managed agent beat the whole team?”

Don’t say: “Specialized agents are better at their roles. The single agent just gets overloaded with context.”

Why hardcoding LLM teams into human job titles quietly leaks critical context at every handoff, and how dynamic DAG decomposition with active replanning actually scales.

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More traps set at Google DeepMind