logoalt Hacker News

gipptoday at 2:14 PM7 repliesview on HN

I see a lot of the same (well thought out) pushback on here whenever these kinds of blind hype articles pop up.

But my biggest objection to this "engineering is over" take is one that I don't see much. Maybe this is just my Big Tech glasses, but I feel like for a large, mature product, if you break down the time and effort required to bring a change to production, the actual writing of code is like... ten, maybe twenty percent of it?

Sure, you can bring "agents" to bear on other parts of the process to some degree or another. But their value to the design and specification process, or to live experiment, analysis, and iteration, is just dramatically less than in the coding process (which is already overstated). And that's without even getting into communication and coordination across the company, which is typically the real limiting factor, and in which heavy LLM usage almost exclusively makes things worse.

Takes like this seem to just have a completely different understanding of what "software development" even means than I do, and I'm not sure how to reconcile it.

To be clear, I think these tools absolutely have a place, and I use them where appropriate and often get value out of them. They're part of the field for good, no question. But this take that it's a replacement for engineering, rather than an engineering power tool, consistently feels like it's coming from a perspective that has never worked on supporting a real product with real users.


Replies

simonwtoday at 2:48 PM

I'm not sure you're actually in disagreement with the author of this piece at all.

They didn't say that software engineering is over - they said:

> Software development, as it has been done for decades, is over.

You argue that writing code is 10-20% of the craft. That's the point they are making too! They're framing the rest of it as the "talking", which is now even more important than it was before thanks to the writing-the-code bit being so much cheaper.

show 1 reply
patrickmaytoday at 2:26 PM

> Takes like this seem to just have a completely different understanding of what "software development" even means than I do, and I'm not sure how to reconcile it.

You're absolutely right about coding being less than 20% of the overall effort. In my experience, 10% is closer to the median. This will get reconciled as companies apply LLMs and track the ROI. Over a single year the argument can be made that "We're still learning how to leverage it." Over multiple years the 100x increase in productivity claims will be busted.

We're still on the upslope of Gartner's hype cycle. I'm curious to see how rapidly we descend into the Trough of Disillusionment.

wrstoday at 4:39 PM

My recent experience demonstrates this. I had a couple weeks of happily cranking out new code and refactors at high speed with Claude’s help, then a week of what felt like total stagnation, and now I’m back to high velocity again.

What happened in the middle was I didn’t know what I wanted. I hadn’t worked out the right data model for the application yet, so I couldn’t tell Claude what to do. And if you tell it to go ahead and write more code at that point, very bad things will start to happen.

techblueberrytoday at 2:24 PM

Yeah in a lot of ways, my assertion is that @ “Code is cheap” actually means the opposite of what everyone thinks it does. Software Engineer is even more about the practices we’ve been developing over the past 20 or so years, not less

Like Linus’ observation still stands. Show me that the code you provided does exactly what you think it should. It’s easy to prompt a few lines into an LLM, it’s another thing to know exactly the way to safely and effectively change low level code.

Liz Fong-Jones told a story on LinkedIn about this at HoneyComb, she got called out for dropping a bad set of PR’s in a repo, because she didn’t really think about the way the change was presented.

mehagartoday at 3:41 PM

The book Software Engineering at Google makes a distinction between software engineering and programming. The main difference is that software engineering occurs over a longer time span than programming. In this sense, AI tools can make programming faster, but not necessarily software engineering.

mupuff1234today at 2:30 PM

They're also great for writing design docs, which is another significant time sink for SWEs.