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The problem is not AI code, but not knowing about system architecture or intent

388 points · 240 comments · zazuke

  1. hollowonepl · · focus · HN ↗
    AI is not for programmers, they will always complain and given time and resources can of course produce better atomic code. AI is for a combination of a business analyst, architect and product manager in one person who has capacity in coding but decided this is limited role in the whole software engineering lifecycle. With the right attitude and of course certain level of micro management over AI (which they had to do with human programmers as well) they can achieve the same or similar results with much less communication friction, less people to maintain that teamwork and get closer to solving issues they find rather than discussing philosophy of programming and other manifestos of the craft that stopped being prestigious or unique and that’s the key point of complaint when AI is given wrong people to use.
    1. tovej · · focus · HN ↗
      Can they really achieve similar results though? If quality suffers greatly, and velocity eventually slows down due to huge tech debt, isn't that just a worse outcome?
      1. whattheheckheck · · focus · HN ↗
        "Bet on it and start your own company"
        1. hollowonepl · · focus · HN ↗
          If you believe software still can be sold. as I do believe further development of AI may completely redefine buy vs. build capabilities and potential directions.

          My bet is that half of the software developed so far may be obsolete 10 years from now and so the businesses behind them. SaaS specifically.

          1. slohr · · focus · HN ↗
            I'm seeing this right now in my domain. Much stronger lean towards build than years past. Not enough signal yet to really make a call but I suspect a significant downward re-pricing is going to have to happen to convince folks to buy. At the moment the arguments of "your core business isn't software so why build?" or "you'll have to maintain this and there's no one else on the planet that knows it", etc are not working since some of these folks have fully bought in and just say "yeah so, AI will do it." Also the number of features expected, and many non-trivial, is pretty high. wild times!
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