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How Evaluation-Driven Development (EDD) Works for AI Agents

Decoding AI · Alejandro Aboy · blog · testing, agents

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What it is — A pre-merge evaluation gate for AI agent changes, using simulated inputs run through the real agent.

Key points

  • An offline gate answering “does it work / did anything regress”.
  • Simulate inputs (drawn from real traces), not outputs.
  • Rejects always-on prod eval as too costly; runs targeted branch experiments with calibrated binary judges.

Shared by Adam Tomat in #ai-dev.

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