I'm seeing this cultural pattern where developers have started accepting LLM output with very little scrutiny. This ends up code that works on the surface, but most of the times problems are not addressed at their source.

Creating these wrong things is only cheaper with LLMs. Since developers now spend less time and effort to create that wrong thing, they don't feel the need validate or reflect on them so much.

The risk is not the tool itself, but the over-reliance on it and forgoing feedback loops that have made teams stronger, e.g. debugging, testing, and reasoning why something works a particular way.