OpenAI Agents SDK reveals how AI's unpredictability exposes fragile software infrastructure

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A software engineering analysis argues that AI agents built on large language models are exposing deep weaknesses in modern software architecture, a phenomenon the author calls 'AI Psychosis.' Unlike deterministic code, LLM-based agents operate probabilistically and can enter feedback loops where they hallucinate parameters, misinterpret errors, or repeatedly retry failed operations. This stochastic behavior clashes with foundational assumptions of RESTful and microservices architecture, particularly idempotency, leading to real-world incidents such as double-charged payments and accidental database deletions. The release of OpenAI's reasoning models and the Agents SDK has accelerated the shift from simple chatbots to autonomous agents capable of replanning and calling external tools, amplifying these risks. The author contends this is not fundamentally an AI problem but a software engineering crisis made visible by the introduction of non-deterministic actors into brittle systems.

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