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Eval-driven development

technique

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Last discussed Jun 29, 2026

A development methodology for AI products where you write a failing evaluation (test) that reproduces a problem first, then write code to fix it, and prove the fix works by seeing the eval pass.

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EK
Eddie Kim
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Used for: Fixing AI conversation quality issues; ensuring Claude Code produces the correct output for specific edge cases Praised: Only reliable way to fix and validate AI conversation behavior; enables confi... vs: Compared to traditional test-driven development (TDD), which Eddie never full...

"Always write a failing eval first, then write the code to fix it, prove that it works by seeing that the eval passes, and then seeing how the rest of the evals in your suite pass and then open up a PR. It's basically kind of the only way we work n..."

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