Religions are about faith, faith is belief in the absence of evidence. Engineering output is tangible and measurable, objectively verifiable and readily quantifiable (both locally and in terms of profits). Full evidence, testable assertions, no faith required.

Here we have claims of objective results, but also admissions we’re not even tracking estimations and are terrible at making them when we do. People are notoriously bad at estimating actual time spent versus output, particularly when dealing with unwanted work. We’re missing the fundamental criteria of assessment, and there are known biases unaccounted for.

Output in LOC has never been the issue, copy and paste handles that just fine. TCO and holistic velocity after a few years is a separate matter. Masterful orchestration of agents could include estimation and tracking tasks with minimal overhead. That’s not what we’re seeing though…

Someone who has even a 20% better method for deck construction is gonna show me some timetables, some billed projects, and a very fancy new car. If accepting Mothra as my lord and saviour is a prerequisite to pierce an otherwise impenetrable veil of ontological obfuscation in order to see the unseeable? That deck might not be as cheap as it sounds, one way or the other.

I’m getting a nice learning and productivity bump from LLMs, there are incredible capabilities available. But premature optimization is still premature, and claims of silver bullets are yet to be demonstrated.

Here's an example from this morning. At 10:00 am, a colleague created a ticket with an idea for the music plugin I'm working on: wouldn't it be cool if we could use nod detection (head tracking) to trigger recording? That way, musicians who use our app wouldn't need a foot switch (as a musician, you often have your hands occupied).

Yes, that would be cool. An hour later, I shipped a release build with that feature fully functional, including permissions plus a calibration UI that shows if your face is detected and lets you adjust sensitivity, and visually displays when a nod is detected. Most of that work got done while I was in the shower. That is the second feature in this app that got built today.

This morning I also created and deployed a bug fix release for analytics on one platform, and a brand-new report (fairly easy to put together because it followed the pattern of other reports) for a different platform.

I also worked out, argued with random people on HN and walked to work. Not bad for five hours! Do I know how long it would have taken to, for example, integrate face detection and tracking into a C++ audio plugin without assistance from AI? Especially given that I have never done that before? No, I do not. I am bad at estimating. Would it have been longer than 30 minutes? I mean...probably?

> An hour later, I shipped a release build

I would love to see that pull request, and how readable and maintainable the code is. And do you understand the code yourself, since you've never done this before?

Just having a 'count-in' type feature for recording would be much much more useful. Head nodding is something I do all the time anyway as a musician :).

I don't know what your user makeup is like, but shipping a CV feature same day sounds so potentially disastrous.. There are so many things I would think you would at least want to test, or even just consider with the kind of user emapthy we all should practice.

I think you have to make a distinction between indvidual experience and claims about general truths.

If I know someone as an honest and serious professional, and they tell me that some tool has made them 5x or 10x more productive, then I'm willing to believe that the tool really did make a big difference for them and their specific work. I would be far more sceptical if they told me that a tool has made them 10% more productive.

I might have some questions about how much technical debt was accumulated in the process and how much learning did not happen that might be needed down the road. How much of that productivity gain was borrowed from the future?

But I wouldn't dismiss the immediate claims out of hand. I think this experience is relevant as a starting point for the science that's needed to make more general claims.

Also, let's not forget that almost none of the choices we make as software engineers are based on solid empirical science. I have looked at quite a few studies about productivity and defect rates in software engineering projects. The methodology is almost always dodgy and the conclusions seem anything but robust to me.

Not to pick apart your analogy, but asserting that atheists haven't tried religion is misinformed.

Brain-rot can be associated with heavy LLM usage.

So, you say that AI has made you "ridiculously faster", but then admit you've always been terrible at estimating how long something would take?

> It does feel to me that we're getting into religious believer territory. There are those who have firsthand experience and are all-in (the believers), there are those who have firsthand experience and don't get it (the faithless), and there are those who haven't tried it (the atheists). It's hard to communicate across those divides, and each group's view of the others is essentially, "I don't understand you".

What a total crock. Your prose reminds of of the ridiculously funny Mike Meyers in "The Love Guru".

But then does this not give you pause, that it "feels religious"? Is there not some morsel of critical/rational interrogation on this? Aren't you worried about becoming perhaps too fundamentalist in your belief?

To extend the analogy: why charge clients for your labor anymore, which Claude can supposedly do in a fraction of the time? Why not just ask if they have heard the good word, so to speak?