Teams can run evals, but still can’t tell if a release is really better
hwchase17 · x · 2026-07-26
A highlighted article argues that over the next five years every company will use AI in one of two ways: either to run critical parts of the business, or as part of the product sold to customers.
The discussion around the article focuses on evals as a learning loop: teams may be able to run tests, but they struggle to decide whether a candidate release is actually better than production, how to attribute failures and wins, and how to manage eval drift.
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