[larve]

In case the author is reading this, I have the receipts on how there's a real step function in how much software I build, especially lately. I am not going to put any number on it because that makes no sense, but I certainly push a lot of code that reasonably seems to work.

The reason it doesn't show up online is that I mostly write software for myself and for work, with the primary goal of making things better, not faster. More tooling, better infra, better logging, more prototyping, more experimentation, more exploration.

Here's my opensource work: https://github.com/orgs/go-go-golems/repositories . These are not just one-offs (although there's plenty of those in the vibes/ and go-go-labs/ repositories), but long-lived codebases / frameworks that are building upon each other and have gone through many many iterations.

[nerevarthelame]

How are you sure it's increasing your productivity if it "makes no sense" to even quantify that? What are the receipts you have?

[larve]

I have linked my github above. I don't know how that fares in the bigger scope of things, but I went from 0 opensource to hundreds of tools and frameworks and libraries. Putting a number on "productivity" makes no sense to me, I would have no idea what that means.

I generate between 10-100k lines of code per day these days. But is that a measure of productivity? Not really...

[trenchpilgrim]

Same. On many days 90% of my code output by lines is Claude generated and things that took me a day now take well under an hour.

Also, a good chunk of my personal OSS projects are AI assisted. You probably can't tell from looking at them, because I have strict style guides that suppress the "AI style", and I don't really talk about how I use AI in the READMEs. Do you also expect I mention that I used Intellisense and syntax highlighting too?

[droidjj]

The author’s main point is that there hasn’t been an uptick in total code shipped, as you would expect if people are 10x-ing their productivity. Whether folks admit to using AI in their workflow is irrelevant.

[jplusequalt]

>Do you also expect I mention that I used Intellisense and syntax highlighting too?

No, but I expect my software to have been verified for correctness, and soundness by a human being with a working mental model of how the code works. But, I guess that's not a priority anymore if you're willing to sacrifice $2400 a year to Anthropic.

[noidesto]

Agree. In the hands of a seasoned dev not only does productivity improve but the quality of outputs.

If I’m working against a deadline I feel more comfortable spending time on research and design knowing I can spend less time on implementation. In the end, it took the same amount of time, though hopefully with an increase of reliability, observability, and extendibility. None of these things show up in the author’s faulty dataset and experiment.

[ryanobjc]

The author is pointing out that aggregate productivity hasn't really gone up. The graphs are fairly compelling.

There are many reasons for your experience, and I am glad you are having them! That's great!

But the fact remains, overall we aren't seeing an exponential or even step function in how much software is being delivered!

[xenobeb]

What is even the point in having this argument?

At this point, one is gaining with each model release or they are not.

Lets see in 2035 who was right and who was wrong. My bet is the people who are not gaining right now are not going to like the situation in 2035.

[philipwhiuk]

I mean it's definitely shovelware, I'll give you that.

https://github.com/go-go-golems/ai-in-action-app/blob/main/c...

[larve]

Not sure what you mean? This was a demo in a live session that took about 30 minutes, including ui ideation (see pngs). It’s a reasonably well featured app and the code is fairly minimal. I wouldn’t be able to write something like that in 30 minutes by hand.