How to Debug AI Coding Agents When They Change the Wrong Thing
Towards Data Science
EDITOR BRIEF
This tutorial shows a practical way to debug AI coding agents by saving what they asked tools to do, the actual results, the code patches they made, checks, screenshots, and a run log. It focuses on keeping a complete record so you can inspect where the agent went wrong.
INSIGHTS
For beginners, this shows that debugging AI is about tracing its actions, not just reading the final code. A good next step is to log each tool call and compare the request with the real output.
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