The Two Layers That Decide Whether Your Agent Survives
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I have read a lot of agent architecture content over the last two years, and almost all of it is about the same layer: how the agent thinks . Prompt chaining, routing, orchestrator-workers, evaluator-optimizer, ReAct, plan-and- execute. That layer is genuinely well served, and I am not going to add to it. Here is the uncomfortable thing I keep running into instead. The incidents I have seen and reviewed did not come from picking the wrong orchestration pattern. They came from an agent that was…
1Key Takeaways
- I have read a lot of agent architecture content over the last two years, and almost all of it is about the same layer: how the agent thinks .
- Prompt chaining, routing, orchestrator-workers, evaluator-optimizer, ReAct, plan-and- execute.
- That layer is genuinely well served, and I am not going to add to it.
- Here is the uncomfortable thing I keep running into instead.
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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 i have read a lot of agent architecture content over the last two years, and almost all of it is about the same layer: how the agent thinks .
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