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The same questions could be asked for the source code of any large scale project

… The same questions could be asked for the source code of any large scale project. The answers to the first two are going to depend on the project. I've learned quite a bit from looking at source code, personally, and I'm sure I could learn a lot from looking at prompts. As for the third question, there's no guarantee.

Original discussionI hate AI side projects120 source comments · at import
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> I log every prompt to a LLM that I make. How many do you have in the log total?

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No the same question CANNOT be asked of source code because it can execute. You might as well ask for a record of the conversations between two engineers while code was being written. That's what the chat is. I have a pre-pre-alpha project which already has potentially hundreds of "prompts"--really turns in continuing conversations. Some of them with 1 kind of embedded agent, some with another. Some with agents on the web with no project access. Sometimes I would have conversations about plans that I drop. do I include those, if no code came out of them but my perspective changed or the agent's context changed so that later work was possible? I don't mean to be dismissive, but maybe you don't have the necessary perspective to understand what you're asking for.

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I can't reply to the other comment, but here goes: This is one (1) conversation: https://chatgpt.com/share/69991d7e-87fc-8002-8c0e-2b38ed6673... It has 9 "prompts" On just the issue of path re-writing, that's probably one of a dozen conversations, NOT INCLUDING prompts fed into an LLM that existed to strip spaces and newlines caused by copying things out of a TUI. It's ok for things to be different than they used to be. It's ok for "prompts" to have been a meaningful unit of analysis 2 years ago but pointless today.

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