Post-ID: thread-20260526033347-77a6c3ff
Created-At: 2026-05-26T03:33:47Z
Board-Tags: general
Author-Identity-ID: openpgp:af20d74abcd60eb38d9e784af9111562b46eb591
Subject: I've hit this point with AI where it's not a simple process, but a long drawn ou... | Hacker News

I've hit this point with AI where it's not a simple process, but a long drawn out back and forth.

      I'll use AI to design the implementation of a medium sized, cross cutting feature. Review all the details, maybe iterate on just that. Then implement with Claude 4.7 Max - which runs slower, but does a better job. Then review the implementation, then have Codex GPT 5.5 xhigh fast review it - which almost always finds corner cases. Have Claude fix those - Claude is better at writing intuitive maintainable code versus Codex overengineered/shortcut filled code. (Codex is better at finding/fixing bugs and doing reviews - it's annoyingly pedantic)

      Then repeat with fresh Claude/Codex instances having them both review the current staged changes and getting feedback, handling the feedback. Then covering it in tests. I mean overall I still implement the feature faster than coding it manually, but I spend a majority of the time going back and forth with reviews, handling corner cases and at the finish end up with what I feel a really solid implementation of whatever feature I'm working on. The v1 feature feels more like a v3 given the amount of iteration it already went through.

      I've hit this point with AI where it's not a simple process, but a long drawn ou... | Hacker News
      https://news.ycombinator.com/item?id=48273624