Dev Tools · 1h ago
Multi-Agent Systems in Production: When to Split and How to Coordinate
A team accidentally built a monolithic AI agent with a 2,000-token prompt that kept forgetting tools. Splitting it into coordinated agents solved context limits and isolation issues. They share three patterns: supervisor-worker, sequential pipeline, and event-driven agents.
Meridian48 take
Practical advice from the trenches, but the patterns are well-known; the real value is in the concrete Django+Celery implementation.
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Multi-Agent Systems in Production: When One Agent Isn't Enough and How We Coordinate Them →
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