Designing Multi-Agent Systems with Gemma 4: Supervisor and Worker Pattern

Most agent implementations fail for a simple reason: They try to make one model do everything. That approach does not scale. ⸻ The limitation of single-agent systems When one agent is responsible for: • understanding context • making decisions • calling tools • validating outputs • executing actions you introduce uncontrolled complexity. The result is: • inconsistent behavior • hallucinated decisions • poor failure recovery This is not a model limitation. It’s a design issue. ⸻ The correct pattern: separation of responsibilities A more stable architecture separates concerns into two layers: Worker agents Each worker is narrowly scoped: • log analysis • root cause detection • code or PR generation • infrastructure interaction Workers should be predictable and task-specific. ⸻ Supervisor agent The supervisor coordinates the system. With Gemma 4, this becomes significantly more powerful due to its thinking mode. The supervisor: • reads the global system state • decides which worker to inv