How do you evaluate GenAI output quality before shipping? Devs weigh in
ssnuopi · reddit · 2026-10-21
A Reddit developer raises the classic GenAI engineering dilemma: LLMs are probabilistic, so there's no way to guarantee a specific task output unless you hardcode somewhere — which defeats the purpose.
Obviously wrong outputs are easy to catch; the hard part is knowing when the system is good enough to ship. You can't predict all user interactions, and hunting absurd edge cases wastes enormous time. The poster asks how teams handle this in practice: manual sample review, LLM-as-judge, or iterate live after release.
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