Debugging LangChain Applications
Introduction: The Black Box Problem Debugging applications built on Large Language Models is uniquely challenging. Traditional software has deterministic logic. If a function returns the wrong result, you can trace the execution path, inspect variables, and identify the bug....
Common Python Errors in AI Projects
AI code breaks in predictable ways. Here are the traps that waste hours, with the fixes that save them. 1. Mutable Default Arguments # WRONG: All calls share the same list def predict(inputs, cache=[]): cache.append(inputs) return model(inputs) # RIGHT: Fresh list every call...