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Comment by gtowey

1 month ago

You kitchen contractor will never cook in your kitchen. If you leave the decisions to them, you'll get something that's quick and easy to build, but it for sure won't have all the details that make a great kitchen. It will be average.

Which seems like an apt analogy for software. I see people all the time who build systems and they don't care about the details. The results are always mediocre.

> The results are always mediocre.

I think this is a major point people do not mention enough during these debates on "AI vs Developers": The business/stakeholder side is completely fine with average and mediocre solutions as long as those solutions are delivered quickly and priced competitively. They will gladly use a vibecoded solution if the solution kinda sorta mostly works. They don't care about security, performance or completeness... such things are to be handled when/if they reach the user/customer in significant numbers. So while we (the devs) are thinking back to all the instances we used gpt/grok/claude/.. and not seeing how the business could possibly arrive to our solutions just with AI and wihout us in the loop... the business doesn't know any of the details nor does it care. When it comes to anything IT related, your typical business doesn't know what it doesn't know, which makes it easy to fire employees/contractors for redundancy first (because we have AI now) and ask questions later (uhh... because we have AI now).

Most software, especially web software, is mediocre. LLMs are good at building web software.

Do all details matter equally? Maybe only 3/10 of them you really care about and you can leave the rest up to the contractor

  • That still requires you to evaluate all the details in order to figure out which you care about. And if you haven't built a kitchen before you, won't know what the details even are ahead of time. Which means you need to be involved in the process, constantly evaluating whether what is currently happening and if you need to care about it.