Arize AI workshop: use traces and skills to let coding agents debug and fix agents
AI Engineer · youtube · 2026-10-12
At AI Engineer World's Fair, Arize AI's Ankur Duggal demos an agent improvement loop: a financial agent that fabricates answers and misuses tools is connected, via Arize's CLI and skills, to a coding agent that investigates traces, pinpoints grounding failures and silent errors, and runs testable experiments. Key lessons: dataset/evaluator/experiment skills make fixes verifiable, watch for agents linting instead of fixing real defects, and tailor evaluations to your app's failure modes.
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