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submitted 3 days ago* (last edited 3 days ago) by AutistoMephisto@lemmy.world to c/technology@lemmy.world

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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[-] Nalivai@lemmy.world 31 points 2 days ago

They never actually say what "product" do they make, it's always "shipped product" like they're fucking amazon warehouse. I suspect because it's some trivial webpage that takes an afternoon for a student to ship up, that they spent three days arguing with an autocomplete to shit out.

[-] e461h@sh.itjust.works 7 points 2 days ago

Cloudflare, AWS, and other recent major service outages are what come to mind re: AI code. I’ve no doubt it is getting forced into critical infrastructure without proper diligence.

Humans are prone to error so imagine the errors our digital progeny are capable of!

this post was submitted on 07 Dec 2025
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