A practical guide to multi-agent orchestration. Memory patterns, tool conflicts, coordination strategies from real runs - not toy examples.
I built a multi-agent system where Claude Code agents run in parallel, coordinating on real tasks. Not a demo. The thing actually runs, earns, and breaks in interesting ways.
Most guides on agents are vague. This one covers the specific bits that took me weeks to figure out: how to stop agents clobbering each other's files, how to pass context without ballooning token costs, which coordination patterns are worth the overhead and which aren't.
If you're building anything multi-agent - even just two agents talking to each other - there's stuff in here that'll save you a lot of trial and error.
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