this post was submitted on 07 Dec 2025
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Just want to clarify, this is not my Substack, I'm just sharing this because I found it insightful.

The author describes himself as a "fractional CTO"(no clue what that means, don't ask me) and advisor. His clients asked him how they could leverage AI. He decided to experience it for himself. From the author(emphasis mine):

I forced myself to use Claude Code exclusively to build a product. Three months. Not a single line of code written by me. I wanted to experience what my clients were considering—100% AI adoption. I needed to know firsthand why that 95% failure rate exists.

I got the product launched. It worked. I was proud of what I’d created. Then came the moment that validated every concern in that MIT study: I needed to make a small change and realized I wasn’t confident I could do it. My own product, built under my direction, and I’d lost confidence in my ability to modify it.

Now when clients ask me about AI adoption, I can tell them exactly what 100% looks like: it looks like failure. Not immediate failure—that’s the trap. Initial metrics look great. You ship faster. You feel productive. Then three months later, you realize nobody actually understands what you’ve built.

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[–] Suffa@lemmy.wtf 32 points 2 days ago (43 children)

AI is really great for small apps. I've saved so many hours over weekends that would otherwise be spent coding a small thing I need a few times whereas now I can get an AI to spit it out for me.

But anything big and it's fucking stupid, it cannot track large projects at all.

[–] ipkpjersi@lemmy.ml 1 points 1 day ago* (last edited 1 day ago)

I don't really agree, I think that's kind of a problem with approaching it. I've built some pretty large projects with AI, but the thing is, you have to approach it the same way you should be approaching larger projects to begin with - you need to break it down into smaller steps/parts.

You don't tell it "build me an entire project that does X, Y, Z, and A, B, C", you have to tackle it one part at a time.

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[–] lepinkainen@lemmy.world 13 points 2 days ago* (last edited 9 hours ago) (10 children)

Same thing would happen if they were a non-coder project manager or designer for a team of actual human programmers.

Stuff done, shipped and working.

“But I can’t understand the code 😭”, yes. You were the project manager why should you?

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[–] pdxfed@lemmy.world 60 points 2 days ago (5 children)

Great article, brave and correct. Good luck getting the same leaders who blindly believe in a magical trend for this or next quarters numbers; they don't care about things a year away let alone 10.

I work in HR and was stuck by the parallel between management jobs being gutted by major corps starting in the 80s and 90s during "downsizing" who either never replaced them or offshore them. They had the Big 4 telling them it was the future of business. Know who is now providing consultation to them on why they have poor ops, processes, high turnover, etc? Take $ on the way in, and the way out. AI is just the next in long line of smart people pretending they know your business while you abdicate knowing your business or employees.

Hope leaders can be a bit braver and wiser this go 'round so we don't get to a cliffs edge in software.

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[–] ignirtoq@feddit.online 135 points 3 days ago (7 children)

We’re about to face a crisis nobody’s talking about. In 10 years, who’s going to mentor the next generation? The developers who’ve been using AI since day one won’t have the architectural understanding to teach. The product managers who’ve always relied on AI for decisions won’t have the judgment to pass on. The leaders who’ve abdicated to algorithms won’t have the wisdom to share.

Except we are talking about that, and the tech bro response is "in 10 years we'll have AGI and it will do all these things all the time permanently." In their roadmap, there won't be a next generation of software developers, product managers, or mid-level leaders, because AGI will do all those things faster and better than humans. There will just be CEOs, the capital they control, and AI.

What's most absurd is that, if that were all true, that would lead to a crisis much larger than just a generational knowledge problem in a specific industry. It would cut regular workers entirely out of the economy, and regular workers form the foundation of the economy, so the entire economy would collapse.

"Yes, the planet got destroyed. But for a beautiful moment in time we created a lot of value for shareholders."

[–] grue@lemmy.world 66 points 3 days ago

That's why they're all-in on authoritarianism.

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[–] raspberriesareyummy@lemmy.world 65 points 3 days ago (38 children)

So there's actual developers who could tell you from the start that LLMs are useless for coding, and then there's this moron & similar people who first have to fuck up an ecosystem before believing the obvious. Thanks fuckhead for driving RAM prices through the ceiling... And for wasting energy and water.

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[–] Unlearned9545@lemmy.world 52 points 3 days ago (4 children)

Fractional CTO: Some small companies benefit from the senior experience of these kinds of executives but don't have the money or the need to hire one full time. A fraction of the time they are C suite for various companies.

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[–] vpol@feddit.uk 60 points 3 days ago (13 children)

The developers can’t debug code they didn’t write.

This is a bit of a stretch.

[–] Xyphius@lemmy.ca 47 points 3 days ago

agreed. 50% of my job is debugging code I didn't write.

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[–] deathbird@mander.xyz 27 points 2 days ago (1 children)

I think this kinda points to why AI is pretty decent for short videos, photos, and texts. It produces outputs that one applies meaning to, and humans are meaning making animals. A computer can't overlook or rationalize a coding error the same way.

[–] JustTesting@lemmy.hogru.ch 1 points 1 day ago

so the obvious solution is to just have humans execute our code manually. Grab a pen and some crayons, go through it step by step and write variable values on the paper and draw the interface with the crayons and show it on a webcam or something. And they can fill in the gaps with what they think the code in question is supposed to do. easy!

[–] CarbonatedPastaSauce@lemmy.world 61 points 3 days ago* (last edited 3 days ago) (14 children)

Something any (real, trained, educated) developer who has even touched AI in their career could have told you. Without a 3 month study.

[–] AutistoMephisto@lemmy.world 74 points 3 days ago* (last edited 3 days ago) (4 children)

What's funny is this guy has 25 years of experience as a software developer. But three months was all it took to make it worthless. He also said it was harder than if he'd just wrote the code himself. Claude would make a mistake, he would correct it. Claude would make the same mistake again, having learned nothing, and he'd fix it again. Constant firefighting, he called it.

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[–] rimu@piefed.social 45 points 3 days ago* (last edited 3 days ago) (17 children)

FYI this article is written with a LLM.

image

Don't believe a story just because it confirms your view!

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