In multi-agent systems, the skill is the abstraction level — not the agent count
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Everyone building multi-agent systems knows the starting pattern by now: a router reads the request, works out what's actually being asked, and dispatches to specialized agents — one to set up the problem, one to execute, one to explain, one to narrow scope. Orchestration graph, specialized nodes. Fine. Everyone builds this. It's table stakes. The part nobody teaches — the part that actually decides whether your system survives a year — is quieter: Choosing the right level of abstraction. Not…
1Key Takeaways
- Everyone building multi-agent systems knows the starting pattern by now: a router reads the request, works out what's actually being asked, and dispatches to specialized agents — one to set up the problem, one to execute, one to explain, one to narrow scope.
- Orchestration graph, specialized nodes.
- The part nobody teaches — the part that actually decides whether your system survives a year — is quieter: Choosing the right level of abstraction.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that everyone building multi-agent systems knows the starting pattern by now: a router reads the request, works out what's actually being asked, and dispatches to specialized agents — one to set up the problem, one to execute, one to explain, one to narrow scope.
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