12 Enterprise Architecture Principles for Multi-Agent Systems
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Most multi-agent systems start as a monolith: one agent, one runtime, one set of tools. It works for the demo. Then you add a second agent, then a third, and suddenly every failure brings everything down. I've seen this pattern repeat across teams and projects. The instinct is to fix the agents, add better prompts, or throw more compute at the problem. But the real issue isn't the agents. It's the architecture underneath them. The same principles that have kept enterprise software reliable for…
1Key Takeaways
- Most multi-agent systems start as a monolith: one agent, one runtime, one set of tools.
- Then you add a second agent, then a third, and suddenly every failure brings everything down.
- I've seen this pattern repeat across teams and projects.
- The instinct is to fix the agents, add better prompts, or throw more compute at the problem.
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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 most multi-agent systems start as a monolith: one agent, one runtime, one set of tools.
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