The Right Way to Do AI Evals in 2026 (With Real Examples)
This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.
Key Takeaways AI evals run the real model and grade outcomes (tool calls, database end-states), covering the layer unit tests mock away Teams watch more than they test: 89% have observability, while barely half run offline evals against a test set Eval-driven vibe coding: ship fast, do error analys…
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- 2026-08-24 04:00 · DEV Community — AI
The Right Way to Do AI Evals in 2026 (With Real Examples)