‹ BackHN Continuity

Thread

What AI-Native Looks Like

24 points · 30 comments · fagnerbrack

  1. dkobia · · focus · HN ↗
    13,000 tests. That tells you everything you need to know. It doesn't matter how experienced you say you are, if AI is doing all the work including writing and running tests because I know no human is actually reviewing these. I've recently found tests written by Fable that don't actually do anything in a very large codebase. My point is not to advocate for doing any of this manually, but to highlight one of the problems brought about by pumping out so much code.

    I hate to sound cynical, but I don't know if bragging about being AI-native is something any of us should be doing. We're really just pulling a lever on a slot machine and crossing our fingers.

    1. fagnerbrack · · focus · HN ↗
      You need to ensure the whole system is optimised for LLM. Getting human written code and trying to run like this will be a failure since you'll be missing essential guidelines particularly on the domain-specific design fundamentals that are acquired in the beginning in a human feedback loop before the automation really kicks in
Open on Hacker News to reply ↗

Unofficial Hacker News client; not affiliated with Y Combinator.