AI coding tools are increasingly used to generate software from prompts, but this shift can lead to “vibe slop” when design, judgment, testing, ownership, and system understanding are skipped. Warnings from engineers behind widely used AI agents claim that AI coding can flood software with buggy and potentially dangerous code at industrial scale. The response should be to rethink assumptions rather than reject AI coding. AI coding is framed as powerful like power tools: it accelerates skilled work while enabling unskilled or careless mistakes with greater confidence. The key risk is not obviously broken output, but nearly correct code that still fails in important ways.
"Nearly correct is still very wrong. I've made a related argument about the real cost of "nearly correct" AI code. The trouble was never that large language models could produce obviously broken garbage. If they did, we'd catch it and move on."
Read at InfoWorld
Unable to calculate read time
Collection
[
|
...
]