this post was submitted on 07 Dec 2025
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I Went All-In on AI. The MIT Study Is Right. (open.substack.com)
submitted 4 days ago* (last edited 4 days ago) by AutistoMephisto@lemmy.world to c/technology@lemmy.world
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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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[–] de_lancre@lemmy.world 2 points 3 days ago

Yes, that exactly how I use cursor and local llms. There a ton of cases, where you need one time script to prepare data/sort thru data/fetch data via API, etc. Even something simple like adding role on discord channel (god save you, if your company uses that piece of crap for communication), that can be done with script too, especially if you need to add role to thousands of users, for example. Of course, it can be done properly by normal development cycle, but that expensive, while shitcoding thru cursor can be done by anyone.