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.

  • LOGIC💣@lemmy.world
    link
    fedilink
    English
    arrow-up
    50
    arrow-down
    2
    ·
    1 day ago

    It’s more like the ancient phenomenon of spaghetti code. You can throw enough code at something until it works, but the moment you need to make a non-trivial change, you’re doomed. You might as well throw away the entire code base and start over.

    And if you want an exact parallel, I’ve said this from the beginning, but LLM coding at this point is the same as offshore coding was 20 years ago. You make a request, get a product that seems to work, but maintaining it, even by the same people who created it in the first place, is almost impossible.

    • Joe@discuss.tchncs.de
      link
      fedilink
      English
      arrow-up
      7
      ·
      15 hours ago

      Indeed… Throw-away code is currently where AI coding excels. And that is cool and useful - creating one off scripts, self-contained modules automating boilerplate, etc.

      You can’t quite use it the same way for complex existing code bases though… Not yet, at least…

      • De Lancre@lemmy.world
        link
        fedilink
        English
        arrow-up
        1
        ·
        1 minute 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.