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I don't know. The other day I wanted to display an Active Directory object to the user. The dict had around 20 keys like "distinguishedname" and the "createdat" with timestamps like 144483738. I wanted friendly display names in a sensible order and have binary values converted to human readable values.

Very easy to do, sure, but the LLM did this in one minute, recognized the context and correctly converted binary values where as this would have taken me maybe 30 minutes of looking up standards and docs and typing in friendly key names.

I also told it to create five color themes and apply them to the CSS. It worked on the first attempt and it looks good, much better than what I could have had produced by thinking of themes, picking colors and copying RGB codes back and forth. Also I'm not fluent in CSS.

Though I wasn't paid for this, it's a hobby project, which I wouldn't have started in the first place without an LLM performing the boring tedious tasks.






Yes, these sorts of tasks are where LLM's are exceedingly useful.

But I was talking specifically about coding agents.

(A.k.a. spend four hours micromanaging prompts and contexts to do what can be done in 15 minutes manually.)


Yes, these sorts of tasks (classification and summarizing and generally naming things) are where LLM's are exceedingly useful.

But I was talking specifically about coding agents.

(A.k.a. spend four hours micromanaging prompts and contexts to do what can be done in 15 minutes manually.)




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