AI Engineer · October 11, 2026

Turn agent failure traces into reviewed fixes and regression evaluations

Turn agent failure traces into reviewed fixes and regression evaluations video thumbnail
Why it matters

Fuad Ali follows a shopping assistant that returns products outside a requested budget from trace investigation to a proposed repair and evaluation. Public Arize skills and the Rosetta Stone sample expose tracing and evaluation workflows. The transferable method is to connect a failing request to code, construct an explicit correctness check, and replay relevant cases before release. A generated diagnosis or judge score remains evidence to review, not an automatic approval.

My takeaway: Preserve the original failing trace, add a deterministic price-bound check where possible, and evaluate both failed and previously correct cases. Compare correctness, latency, and cost on a development deployment before a person approves the repair.
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