I suspect 99% of coding agents would be able to say "hey wait, there's no 'index_value' column, here's the correct input.":
df['new_column'] = df.index + 1
The original bug sounds like a GPT-2 level hallucination IMO. The index field has been accessible in pandas since the beginning and even bad code wouldn't try an 'index_value' column.The model (and you) have inferred completely without context that index_value is meant to somehow map to the dataframe index. What if this is raw .csv data from another system. I work with .csv files from financial indices - index_value (or sometimes index_level) confers completely different meaning in this case.
My thought process, if someone handed me this code and asked me to fix it, would be that they probably didn’t expect df[‘index_value’] to hold df.index
Just because, well, how’d the code get into this state? ‘index_value’ must have been a column that held something, having it just be equal to df.index seems unlikely because as you mention that’s always been available. I should probably check the change history to figure out when ‘index_value’ was removed. Or ask the person about what that column meant, but we can’t do that if we want to obey the prompt.