So I wanted to take a heatmap and bin it into fifteen values on a logarithmic basis. So I asked ChatGPT to do it for me, and it just worked. Would this have be

So I wanted to take a heatmap and bin it into fifteen values on a logarithmic basis. So I asked ChatGPT to do it for me, and it just worked. Would this have been difficult for me to just write? No. I wouldn't call it difficult. But it would have involved effort, which is a resource I'm happy to conserve. It's like the difference between a sandwich you make and a sandwich you ask someone to make. Then I asked it to generate the integer ranges which correspond to each bucket. It screwed that one up, which I found out by copying the function to a scratch file and trying some representative values in the REPL. So I told it to iterate all the values between in and max and generate the ranges that way. That one worked. Net of less effort, plus I had a test for it which I could copy-paste from the REPL to the test suite. Faster? Maybe, maybe not. But I'm rate-limited by gumption, not minutes. When it's easier to describe the function than write it, and it's simple enough that the robot won't screw the pooch, I hand it off to the LLM. It's a great addition to the toolkit.