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AI CURATED HOT STORY · 11/10/2026

How Eval-Driven Development Improves AI Agent Reliability

2 reports archived1 independent sourcesupdated 11/10/2026, 02:31:27
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1 Sources Cross-Validated

LangChain's LangSmith team outlines eval-driven development (EDD), an approach that builds agents while continuously measuring performance against a consistent metric set and hill-climbing toward an eval. The workflow starts with a short spec defining desired and forbidden behavior, judges each change through comparative experiments to catch regressions, and keeps evals running in CI and production so failures become new dataset examples.

LATEST/LangChain's LangSmith team outlines eval-driven development (EDD), an approach that builds agents while continuously measuring performance against a consistent metric set and hill-climbing toward an eval. The workflow starts with a short spec defining desired and forbidden behavior, judges each change through comparative experiments to catch regressions, and keeps evals running in CI and production so failures become new dataset examples.

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