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> Anyone who has been doing this professionally will tell you that the "last step" is what takes the majority of time and effort. That's true, but even the "la
by danans 7mo ago
> Anyone who has been doing this professionally will tell you that the "last step" is what takes the majority of time and effort.
That's true, but even the "last step" is being accelerated. The 10% that takes 90% of the time has itself been cut in half.
An example is turning debug logs and bug reports into bugfixes, and performance stats into infrastructure migrations.
The time required to analyze, implement, and deploy those has been reduced by a large amount.
It still needs to be coupled with software engineering skills - to decide between multiple solutions generated by an LLM, but the acceleration is significant.
- adamrezich 7mo agoSo, how many years until we'll see results, then?
- danans 7mo ago> So, how many years until we'll see results, then? -0.75 years. Software development output (features, bugs, products) - especially at smaller companies like startups - has already accelerated significantly, while software development hiring has stayed flat or declined. So there has been a dramatic increase in human-efficiency. To me, that seems like a result, although it's cold comfort as a software engineer. You probably won't see this reflected as a multiplication of new apps because the app consumer's attention is already completely tapped. There's very little attention surface area left to capture.
- shimman 7mo agoYou don't think capitalists are able to generate profit off of these LLMs currently? Why not? Are they just stupid or something?
- danans 7mo ago> You don't think capitalists are able to generate profit off of these LLMs currently? Not sure where you are reading that. I said that they are able to be far more human-efficient because of LLMs, implying they are able to reduce costs relative to outputs/revenue, which means higher profits.