Comment by vidarh
3 hours ago
I measure what I do by output.
Just about a week ago I launched a 100% AI generated project that shortcircuits a bunch of manual tasks. What before took 3+ weeks of manual work to produce, now takes us 1-2 days to verify instead. It generates revenue. It solved the problem of taking a workflow that was barely profitable and cutting costs by more than 90%. Half the remaining time is ongoing process optimization - we hope to fully automate away the reaming 1-2 days.
This was a problem that wasn't even tractable without AI, and there's no "explosion of AI generated code".
I fully agree that some places will drown in a deluge of AI generated code of poor quality, but that is an operator fault. In fact, one of my current clients retained me specifically to clean up after someone who dove head first into "AI first" without an understanding of proper guardrails.
>This was a problem that wasn't even tractable without AI, and there's no "explosion of AI generated code".
People often say this when giving examples, but what specifically made the problem intractable?
Sometimes before beginning work on a problem, I dramatically overestimate how hard it will be (or underestimate how capable I am of solving it.)