HN提問:您在工作和個人生活中採用了哪些AI系統?
Hacker News 的一則討論探討了在工作和個人生活中採用AI系統的情況,用戶分享了在放棄生成控制方面的挑戰,並尋求優化AI輸出品質的策略。
It's obvious that the generation of work artifacts is largely going to be done via AI but I am finding it very hard to give up that generative control to AI.
For example I am still manually reviewing every line of code AI produces because half the time I need it to be reworked/regenerated because of gaps (context, pattern clarity, usage details etc..).
So my question to you all is; what systems and processes are you using to optimize your AI generative output and quality?

I don't even have time to test the all programs I'm creating, let alone review the LOCs. I build stuff on a whim and it's in my "did it work" pile. I've also got a "looks ok, I'll deploy it sometime" list.
Embrace it. Enjoy it. Ship solutions to problems not lines of code.
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