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.

  • Soggy@lemmy.world
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    11 hours ago

    Other than that it’s work that junior coders could be doing, to develop the next generation of actual good developers.

    • SreudianFlip@sh.itjust.works
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      11 hours ago

      Yes, and that’s exactly what everyone forgets about automating cognitive work. Knowledge or skill needs to be intergenerational or we lose it.

      If you have no junior developers, who will turn into senior developers later on?

      • pinball_wizard@lemmy.zip
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        10 hours ago

        If you have no junior developers, who will turn into senior developers later on?

        At least it isn’t my problem. As long as I have CrowdStrike, Cloudflare, Windows11, AWS us-east-1 and log4j… I can just keep enjoying today’s version of the Internet, unchanged.