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rdslw | 1 month ago
I'm seeing that "great-ai-unlock" is happening. I see in last month a lot of new software being codeveloped with claude/codex/gemini/you-name it.
Before, it was too costly to do sth like the Posture app: here, you would have to know Swift and apple apis to write such tool. Would you be C# (very good) programmer with free weekend, and an idea: no cookie for ya.
These days, due to "great-ai-unlock" your skills can be easily transferred and used to cross platforms boundary and code such useful app in a weekend or so.
Jevons paradox is indeed working (https://en.wikipedia.org/wiki/Jevons_paradox).
__float|1 month ago
It might help "unstick" you if you aren't super confident, but it doesn't seem to me like it's actually leveling up mediocre programmers to "very good" ones, in familiar or unfamiliar domains.
shlant|1 month ago
from my own experiences and many others I have seen on this site and elsewhere, I'm not sure how anyone could conclude this.
> it doesn't seem to me like it's actually leveling up mediocre programmers to "very good" ones
Oh well then if this is your metric then maybe your take is correct, but not relevant? From the top level comment I thought we were talking about the bar being lowered for building something thanks to AI and you don't need to become any better at being a programmer to do so.
bobbylarrybobby|1 month ago
suprfnk|1 month ago
I have built a very nicely responsive real-time syncing iOS app in what amounts to a weekend of time. (I only have an hour here and there, young kids) I had zero iOS/Swift development experience prior to it.
I can also confirm that this wouldn't have been built if it weren't for Claude Code. It's "just" an improved groceries app, that works especially well for my wife and me.
Without LLM's, and with just an hour here and there, I wouldn't have done the work to learn the intricacies of iOS and Swift dev, set up the app, and actually tweak and polish it so it works well -- just to scratch the itch of a bit better groceries handling.
tjohnell|1 month ago
I love coming up with fun ideas and only having to worry about the fun part - not the toil. I would never have made this app without llm support.
victor106|1 month ago
fleebee|1 month ago
An example of where I think the paradox would apply might be one where LLMs made software engineers more efficient yet the demand for SWEs would grow.
codersfocus|1 month ago
avarun|1 month ago
Instead, Jevons' paradox refers to a counterintuitive rebound effect: AI tools make engineers more productive, which you'd expect to reduce the marginal demand for additional engineers (since the same output requires fewer people). In reality, this efficiency lowers the effective cost of software development, sparking even greater overall demand for new features and projects, which ultimately increases total spending on engineering talent.
gowld|1 month ago