AI Agents Are Not Microservices: The Need for Durable Execution
rseroter · x · 2026-08-20
- Core Problem: Treating AI agents as microservices with an LLM bolted on is the most expensive mistake teams make today. Agents break key microservice assumptions: they run for hours/days, make non-deterministic decisions, and continue operating after errors without traditional signals.
- Architectural Shift: Practices that were optional in microservices (durability, identity, observability) are now mandatory. The migration path isn't clean; agents require recovery built into the runtime.
- Solution: The emerging requirement is Agentic Durable Execution. Teams need a platform layer that carries agent workflows to completion, produces trustworthy evidence of decisions, and maintains portability.
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