The Distributed Systems Patterns Hiding Inside Your Agentic AI Stack

Short summary

Agentic AI systems inherit distributed systems patterns but face four novel challenges: semantic failures return confident wrong answers, LLM behavior is opaque and non-deterministic, prompt injection exploits absent instruction/data separation, and semantic coordination instability can cascade through multi-agent systems. Engineers with distributed systems expertise should apply Orleans, Temporal, and Saga patterns to orchestration, then focus effort on semantic correctness problems that traditional approaches cannot solve.

• •Four novel problems unique to agentic AI: invisible semantic failures (HTTP 200), opaque compute units, unseparated instruction/data boundaries, and semantic coordination instability
• •Orleans, Temporal, and Saga patterns transfer directly to agentic AI orchestration and retry logic
• •Semantic correctness is a new field combining distributed systems, control theory, and probabilistic cognition — where the actual engineering work lies

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