• myliltoehurts@lemm.ee
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      7 months ago

      I wonder if this will also have a reverse tail end effect.

      Company uses AI (with devs) to produce a large amount of code -> code is in prod for a few years with incremental changes -> dev roles rotate or get further reduced over time -> company now needs to modernize and change very large legacy codebase that nobody really understands well enough to even feed it Into the AI -> now hiring more devs than before to figure out how to manage a legacy codebase 5-10x the size of what the team could realistically handle.

      Writing greenfield code is relatively easy, maintaining it over years and keeping it up to date and well understood while twisting it for all new requirements - now that’s hard.

    • Tyrangle@lemmy.world
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      7 months ago

      Right on. AI feels like a looming paradigm shift in our field that we can either scoff at for its flaws or start learning how to exploit for our benefit. As long as it ends up boosting productivity it’s probably something we’re going to have to learn to work with for job security.

    • MajorHavoc@programming.dev
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      7 months ago

      There are some areas I’m hoping get addressed by the coming skyrocket in programmer productivity:

      1. Several phone apps aren’t utter garbage anymore. I’m not holding my breath on this one.
      2. Online grocery websites aren’t shit-full-of-timing errors. If I get this, I’ll also wish for $1 million and buy a lottery ticket.
      3. Municipalities and their allies (townships, city services, various local unions) will have barely passable specialized software support that actually fits their size, location and maybe even culture.

      I think that last one stands to be strongly enabled by AI code assist tools. It might not be the sexiest or highest paying job, but it’ll be work that matters that largely isn’t even being done today.