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[–] 22 points 9 months ago (4 children)

Until the AI results can be trusted, I don’t see how this happens. I’ve been using AI for some questions that would normally be on stackoverflow but I don’t find code generation to save me time. Because I can’t implicitly trust the product, I still have to review the code before I can use it. If I have to review and understand it, it rarely saves me time. There have been edge cases where it helped me in some areas, like turning a CSV into a visual report in PDF format but I still had to review everything. It just happens that I suck as report tools so it was a shorter amount of time for me to review the AI report than to put together visualizations myself.

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  • [–] 27 points 9 months ago

    I'd offer a small correction: that ain't happening as long as companies are liable for the AI's work. If companies can just blame the model and get away with a fine that's less than the savings, they absolutely will take that deal. Keep companies accountable and the bubble will burst

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  • [–] 7 points 9 months ago (2 children)

    You're not using it correctly. You're supposed to vibecode the entire application by defining good parameters. You don't debug or fix stuff, you just iterate. You just make a new application with revised parameters.

    If you tell the LLM "this is bad, make it better", it will have the bad thing im it's context and it will therefor try to make the bad thing again.

    Instead, if it makes a mistake,you throw out the whole thing and start over witg revised parameters.

    This will save us money in the short run. In the long run... who cares.

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