Breaking AI Coding's Cost Ceiling: Multi-Agent Workflows Using Free LLM Channels

While Claude Code's multi-agent workflows excel at complex coding tasks, scaling them becomes prohibitively expensive as token costs grow linearly with agent count. By orchestrating 20+ freely available LLM channels—GitHub Models, Groq, SambaNova, DeepSeek, and others—developers can achieve comparable multi-agent capabilities without premium pricing. This shift from centralized premium AI to distributed free LLM access could fundamentally reshape how teams approach AI-assisted coding.