My article on why AI is great (or terrible) or how to use it

I will never as long as I live understand the argument that AI development is more fun. If you want to argue that you’re more capable or whatever, fine. I disagree but I don’t have any data to disprove you.

But saying that AI development is more fun because you don’t have to “wrestle the computer” is, to me, the same as saying you’re really into painting but you’re not really into the brush aspect so you pay someone to paint what you describe. That’s not doing, it’s commissioning.

> not really into the brush aspect so you pay someone to paint what you describe. That’s not doing, it’s commissioning.

What if I have a block of marble and a vision for the statue struggling from inside it and I use an industrial CNC lathe to do my marble carving for me. Have I sculpted something? Am I an artist?

What if I'm an architect? Brunelleschi didn't personally lay all the bricks for his famous dome in Florence --- is it not architecture? Is it not art?

For a senior engineer, some very odd takes here:

"Our ability to zoom in and implement code is now obsolete Even with SOTA LLMs like Opus 4.5 this is downright untrue. Many, many logical, strategic, architectural, and low level code mistakes are still happening. And given context window limitations of LLMs (even with hacks like subagents to work around this) big picture long-term thinking about code design, structure, extensibility, etc. is very tricky to do right."

If you can't see this, I have to seriously question your competence as an engineer in the first place tbh.

"We already do this today with human-written code. I review some code very closely, and other code less-so. Sometimes I rely on a combination of tests, familiarity of a well-known author, and a quick glance at the code to before saying "sure, seems fine" and pressing the green button. I might also ask 'Have you thought of X' and see what they say.

Trusting code without reading all of it isn't new, we're just now in a state where we need to review 10x more code, and so we need to get much better at establishing confidence that something works without paying human attention all the time.

We can augment our ability to write code with AI. We can augment our ability to review code with AI too."

Later he goes onto suggest that confidence is built via TDD. Problem is... if the AI is generating both code and tests, I've seen time and time again both in internal projects and OSS projects how major assumptions are incorrect, mistakes compound, etc.

I suspect that lots of developers who are sour on relying on AI significantly _would_ agree with most of this, but see the result of that logic leading to (as the article notes) "the skill of writing and reading code is obsolete, and it's our job to make software engineering increasingly entirely automated" and really don't like that outcome so they try to find a way to reject it.

"The skillset you've spend decades developing and expected to continue having a career selling? The parts of it that aren't high level product management and systems architecture are quickly becoming irrelevant, and it's your job to speed that process along" isn't an easy pill to swallow.

Yeah... don't get me wrong I find a lot of value in these tools. They do help with a lot of the tedium, can be helpful as debugging assistants, and in the right hands (with the right oversight) can indeed generate solid code.

But we are, even as of Opus 4.5, so wildly far away from what the author is suggesting. FWIW my experience is working in the AI/ML space at a major tech company and as a maintainer + contributor of several OSS projects.

People are blindly trusting LLMs and generating mountains of slop. And the slop compounds.