Deep-dive guides on AI agents, agent orchestration, MCP, and developer tooling.
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Four multi-agent frameworks, four incompatible answers to the same question: when one agent hands work to another, what happens to the context? The choice determines what breaks in production.
The three dominant multi-agent orchestration topologies each fail in a different, predictable way once you move past the demo — here is how to pick one based on where your task actually breaks, not which pattern sounds more sophisticated.