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Its worth mentioning that this essay has some signs of being either partially AI generated or heavily edited through an LLM. Some of the signs are there (It's not X, it's Y), With the blog having gone from nearly zero activity between 2015 and 2025 to have it explode in posts and text output since then also raises an eyebrow.
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Regarding expanding role: The scenario I'm somewhat worried about is that instead of 1 PM, 1 designer and 5 developers, there will be 1 PM, 1 designer and 1 developer. Even if tech employment stays stable or even slightly increases due to Jevons paradox, the share of software developers in tech employment will shrink.
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We need to have more metrics for this. Like I hear people making this claim on HN all the time as if they know absolutely for sure but I doubt it's this simple. I can guarantee you this... the story is not absolute. Depending on who you are and what you need to work on dev time could be slower, same or faster for you. BUT what we don't know is the proportion. Is it faster for 60% of people? 70%, 80%? This is somethin…
I'm sure it also helps translate an app written for iOS into an app written for Android.
So it definitely improves performance.
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My point is that there's nothing to be written there "instead", it just is not needed text that is added to make the text longer, typical of AI writing that parrots the same points over and over to make up for word count. Here's another example from the blog: > Here is something that gets lost in all the excitement about AI productivity: most software engineers became engineers because they love writing code. > Not m…
One of the good book about writing I read was William Zinsser's "On Writing Well". Striving for simplicity and avoiding clutter was the two first principles described in the book. AI writing feels more like ramblings than communication.
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Yes just not driven or owned by engineers. That's what I'm seeing from company and a few peer's companies. > but there does remain a degree of instability and non-determinism which will require human intervention to remediate. I agree.
> Yes just not driven or owned by engineers. That's what I'm seeing from company and a few peer's companies I mean, it depends on the feature/product and how critical it is to the health of the business. Like I mentioned in my edited comment, there is a lot of dev work in companies that is a cost-center, and those are the portions that will start getting vibe coded and deployed in product with little-to-no oversight…
Leaders thinking they will basically prompt out new revenue generating features with no human engineers to "figure it out". Not cost centers, low hanging fruit, etc. No these are not giant corps like Google or whatever and likely run by morons, but it was easier when they did not think they were "empowered". There is no opportunity for engineers to "think in higher abstractions" or whatever in these cases.
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The issue is that before AI, 1% of the population was capable of creating 1 side project per year. After AI, 10% of the population is capable of creating 10 side projects per year. The competition grew by 100x. The pessimist in me thinks that the window of opportunity to create something successful is shrinking.
These, surely, are the skills they always needed? Anyone who didn't have these skills was little more than a human chatgpt already, receiving prompts and simply presenting the results to someone for evaluation.
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It's now almost certain that every submission about LLMs will be written (or assisted) by LLMs. That this kind of writing puts a great number of us off is not important to many who seek their fortune in this industry. I hear the cry: "it's my own words the LLM just assisted me". Yes we have to write prompts.
I think it is very fair to say that in the same way that LLM's have given english majors access to programming, LLMs have also given engineers access to clear communication. I'm not shy to admit that LLMs even from 2 years ago could communicate ideas much better than me, especially for a general audience.
It’s like everything else that AI can do - looks fine at a glance, or to the inexperienced, but collapses under scrutiny. (By your own admission you’re not a great communicator… how can you tell then?)