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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[–] ExLisper@lemmy.curiana.net 4 points 23 hours ago

They shipped a product in 3 months? What the fuck was it? New "under construction" page?

[–] Rentlar@lemmy.ca 4 points 1 day ago* (last edited 1 day ago) (1 children)

I did see someone write a post about Chat Oriented Programming, to me that appeared successful, but not without cost and extra care. Original Link, Discussion Thread

Successful in that it wrote code faster and its output stuck to conventions better than the author would. But they had to watch it like a hawk and with the discipline of a senior developer putting full attention over a junior, stop and swear at it every time it ignored the rules that they give at the beginning of each session, terminate the session when it starts doing a autocompactification routine that wastes your money and makes Claude forget everything. And you try to dump what it has completed each time. One of the costs seem to be the sanity of the developer, so I really question if it's a sustainable way of doing things from both the model side and from developers. To be actually successful you need to know what you're doing otherwise it's easy to fall in a trap like the CTO, trusting the AI's assertions that everything is hunky-dory.

[–] very_well_lost@lemmy.world 4 points 23 hours ago (1 children)

That perfectly describes what my day-to-day has become at work (not by choice).

The only way to get anywhere close to production-ready code is to do like you just described, and the process is incredibly tedious and frustrating. It also isn't really any faster than just writing the code myself (unless I'm satisfied with committing slop) and in the end, I still don't understand the code I've 'written' as well as if I'd done it without AI. When you write code yourself there's a natural self-reinforcement mechanism, the same way that taking notes in class improves your understanding/retention of the information better than when just passively listening. You don't get that when vibe coding (no matter how knowledgeable you are and how diligent you are about babysitting it), and the overall health of the app suffers a lot.

The AI tools are also worse than useless when it comes to debugging, so good fucking luck getting it to fix the bugs it inevitably introduces...

[–] Rentlar@lemmy.ca 4 points 18 hours ago

For debugging there is the Google antigravity method: there can't be bugs if it wipes the whole drive containing your project (taps head)

[–] jaykrown@lemmy.world 3 points 22 hours ago

I needed to make a small change and realized I wasn’t confident I could do it.

Wouldn't the point be to use AI to make the change, if you're trying to do it 100% with AI? Who is really saying 100% AI adoption is a good idea though? All I hear about from everyone is how it's not a good idea, just like this post.

[–] PixelatedSaturn@lemmy.world 3 points 23 hours ago (1 children)

Wasn't this obvious? He didn't need to go "all-in on ai" cause there is hundreds of thousands of people who tried the same thing already and everyone of them could tell him that's not what ai can do.

[–] SnoringEarthworm@sh.itjust.works 4 points 22 hours ago* (last edited 22 hours ago) (1 children)

Hundreds of thousands of internet strangers is different from lived experience.

I take the author's opinion more seriously because they went out and tried it for themselves.

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[–] dreadbeef@lemmy.dbzer0.com 2 points 17 hours ago* (last edited 17 hours ago)

and in order for ai to do that, it has to employ strategy and resource management. And ideally a wealth of experience to rely on when facing new challenges. Good luck

[–] lepinkainen@lemmy.world 2 points 1 hour ago (1 children)

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

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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