this post was submitted on 27 Jun 2026
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i dont understand that. i use ai for help reading through old stuff or to help me remember how tondo a thing i havent done in two years but blindly copy pasting blows my mind.
I suspect it's the same people that blindly copied stackoverflow code without understanding it. Which is likely where the LLMs are getting most of its answers from in the first place.
Same. I also code up about 50% of stuff so all the structure is there, effectively as guardrails, before using AI. Then prompting it instructions that are effectively the solution, so it doesn't come up with its own.
Then, read through it all, replace things that could've been done better, and test.
On average it's maybe 15-20% quicker than manually coding the whole lot. Try skip any of those steps and the chances of it blowing out increase to the point I just end up doing it all anyway and it's taken twice as long because of it.
It's alarming when people don't even check.
Out of interest, how much is this 15-20% increase in productivity costing in tokens?
You'd really need to know the fully burdened cost of an hour of the person's time who'd be doing the work, versus the cost of the tokens plus all the overheads involved in its administration and use of the AI solution (tokens, support, training). Same goes with the downsides-- you'd need to know how the rate of serious bugs changes when you incorporate the slop. Some of the defects will make it through reviews and testing and into prod.