Stop Hoarding Agents: Why a Structured 4-Agent Setup Beats 20 in Parallel
PrajwalTomar_ · x · 2026-08-12
Pushing back against the trend of running 20 coding agents simultaneously, the author argues that adding more agents beyond a certain point actually degrades the codebase. They end up fighting over files, duplicating work, and burning through API credits.
Instead, he advocates for a structured 4-agent setup with distinct roles:
- Director: Plans the architecture and assigns tasks.
- Builder: Executes coding tasks using fast, cost-effective models.
- Reviewer: Validates everything before shipping.
- Researcher: Gathers external context and monitors dependencies.
By utilizing a shared memory brain, this workflow eliminates redundant efforts, proving that structure and clear roles are the real unlocks for AI coding, not just sheer agent quantity.
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