Making AI-Generated Code Fail Gracefully If your app generates code with an LLM and executes it, you...
Making AI-Generated Code Fail Gracefully
If your app generates code with an LLM and executes it, you already know the dirty secret: it fails a lot. Not catastrophically — just wrong method names, bad assumptions about state, off-by-one stuff. The kind of errors a human would fix in 10 seconds.
The question is what your user sees when that happens.
The Problem
Version 1 of my app showed users raw Python tracebacks when a generated script failed. Something like:
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