Based on those, it seems you are not actually using them to create big codebases from scratch, but rather for problems that would normally take quite a while, not because they are inherently difficult to implement, but because you would normally have to spend considerable time on the finicky implementation details.
I think that's the reason why LLMs work so well for some like you, and generate slop for others, because if you let them alone with projects that require opinionated code and actual decision making they most often don't grasp the users intention well or worse misinterpret it so confidently that you end up with something with all the wrong opinions and decisions compounding path-dependently into the strangest and most useless slop.
"for problems that would normally take quite a while, not because they are inherently difficult to implement, but because you would normally have to spend considerable time on the finicky implementation details"
Yes, exactly! How amazing is it that we have technology now that lets us quickly build projects where we would normally have to spend considerable time on the finicky implementation details?
Pretty nice I guess. Cool even. Impressive! And I only say this , just in case, for someone else maybe, ehh—is that it? Because that’s totally fine with me, same experience actually funny that, really impressive tech btw! Very nice. Just, maybe, do the CEOs know that? When people talk of “not having to code anymore”—do they know that this is how it’s described by one of its most prominent champions today?
Not that I mind, of course. As you said: amazing!
Maybe someone just check in with the CEOs who were in the news recently talking about their work force…
> When people talk of “not having to code anymore”
You should reinterpret that as "not having to type the code out be hand any more". You still need a significant depth of coding knowledge and experience to get good results out of these things. You just don't need to type out every variable declaration and for loop yourself any more.
Automate tools, not jobs.
Every single tool or utility you have in the back of your head, you can just make it in a few hours of wall-clock time, minutes of your personal active time.
Like I wanted a tool that can summarise different sources quickly, took me ~3 hours to build it using llm + fragments + OpenAI API.
Now I can just go `q <url>` in my terminal and it'll summarise just about anything.
Then I built a similar tool that can download almost anything `dl <url>` will use yt-dlp, curl and various other tools depending on the domain to download the content.
Another lens is that many people either have terrible written communication skills, do not intuitively grasp how to describe a complex system design, or both. And yet, since everyone is a genius with 100% comprehensibility in their own mind, they simply aren't aware that the problem starts with them.
Well I think it also has to do with communication with LLMs being different to communication with humans. If you tell a developer "don't do busywork" they surely wouldn't say "Oh the repo looks like a trash dump, but no busywork so I'm not going to clean it up, quickly document that as canonical structure, then continue"
> have terrible written communication skills
More and more I think this is it.