this post was submitted on 05 Feb 2024
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So, I asked Chat GPT to write a quick PowerShell script to find the number of months between two dates. The first answer it gave me took the number of days between them and divided by 30. I told it, it needs to be more accurate than that, so it wrote a while loop to add 1 months to the first date until it was larger than the 2 second date. Not only is that obviously the most inefficient way to do it, but it had no checks to ensure the one in the loop was actually smaller so you could just end up with zero. The results I got from co-pilot were not much better.
From my experience, unless there is existing code to do exactly what you want, these AI are not to the level of an experienced dev. Not by a long shot. As they improve, they'll obviously get better, but like with anything you have to keep up and adapt in this industry or you'll get left behind.
The thing is that you need several AIs. One to write the question so the one who codes gets the question you want answered. The. A third one who will write checks and follow up on the code written.
When ran in a feedback loop like this, the quality you get out will be much higher than just asking chathpt to make something
This is the idea behind things like "chain of thought" and "tree of thought".