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Comment by Sha1rholder | Hacker News Reader

Off-topic: I think the front-end quality of ChatGPT/Codex Desktop and Android app is simply dreadful—hard to imagine how such a large number of frequent failures made it into production. Do they not use human testing at all?

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Is there evidence to suggest that open ai business leadership values money over inspiring general public customer delight?

probably not much, they're all using workflows where the agents pull issues and automatically merge code when the tests pass. so lots of stuff slips through and the overall experience is kinda shite.

Eyes free coding is a badge of honor for some folks.

I think it's a crazy notion given what I see these things do and generate, and hoped they would too after recent incidents.

yeah and it's not even about reading code in particular. i keep a close eye on architecture, project structure, data structures & data flow, etc. and then i do manual testing to make sure things feel right. i cannot imagine developing anything users interact with without doing this.

I have recently hit the point where I am struggling in a vibe coding experiment with the state management and control flow sequencing. It's a very complex scenario (detecting game mode change for Final Fantasy 1 in a NES harness where the game loop and agent loop need to run independently, yet interleave). I'm insanely impressed with how far the open models have brought the project, I would never have on my own, life is too short. It remains unclear if I can work with the agents through this challenge. Probably time I took a deeper look at the code I suppose.

i'm working on a complex project and i got it to a really good state as well without really looking at the code. i'm now digging into some of it to rework the architecture so i can tackle some even more complex things. it's fine, i've read maybe 5% of all the code, most of it doesn't really matter since it's isolated in their own crate, it's the interaction boundaries that matter.

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