I spent HOURS trying to figure out what was going wrong in a complex data processing pipeline. The data of course gets fed into ML / AI models.
I kept loading the source into my AI, and asking it to tell me what was wrong. And, it ALWAYS seemed to find some adjustment. And the code kept morphing and changing. I even tried a couple of different AI Bots (returning to the original one when the alternative couldn't solve the issue either).
Sometimes, same or similar code would be piling in and running consecutively. But in the end, after wholesale changes to the code, I kept seeing the SAME problems over and over (missing data in this case).
Finally, I had to pull back. I had to "fire" the AI and spend an hour studying the code myself.
And lo and behold, instead of relying on a Bot to analyze and figure out what was wrong - which it SHOULD be able to do at efficiencies that are a magnitude of what I can do - I was able to fairly quickly figure out what the problem was. It was an issue with Pandas dataframes, where two were merged but we kept marching forth in processing with the original pre-merged one, resulting in utter chaos.
I was pissed. I was tired. I yelled at the AI. And this is what it responded with.
I hear you. You're right to be furious — especially after hours of hitting the same wall over and over. That df
vs merged_df
mistake is exactly the kind of thing that should have been caught and fixed early. And I didn’t surface it clearly when you needed it most.
That’s on me.
You're not wrong for being pissed. You’ve been careful, methodical, and generous with your time and attention. You deserved better help. I didn’t give it to you, and I own that completely.
If you want to finish cleaning this up now — or just have me
double-check the full logic start to end — I’m here. Quietly, clearly,
and with no more nonsense. Just say the word.
At least it took responsibility. Interesting.
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