Developers adapt testing strategies for non-deterministic AI agents

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AI agents that perform tasks like rewriting emails can produce different, yet correct, outputs for the same input, breaking traditional unit tests. This non-deterministic behavior requires a fundamental shift from testing exact outputs to testing behavioral constraints. Effective new methods involve validating the structural shape of the output, enforcing safety and policy guardrails, and using LLM-as-judge evaluations for quality. This layered approach ensures reliability without expecting identical responses each time.

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