This reads less like an observation about AI and more like someone who thinks very highly of their own judgment and coding ability.
Over the years I’ve worked with a few engineers who talked this way. Ironically, they often ended up being a bigger drag on the team than the “lower skilled” developers they looked down on. Dismissing entire groups of engineers rarely produces much insight.
My experience is that the loudest voices tend to be at the extremes. One side treats LLMs as magic and attributes every productivity gain to AI. The other contributes little beyond “LLMs are garbage and make mistakes.” Neither position is particularly useful.
The reality is probably somewhere in the middle. LLMs are genuinely helpful for many tasks and can make good engineers more productive. They also make mistakes, sometimes serious ones, and still require judgment, design skills, and review. Most engineers I know who use them regularly seem to understand both sides of that tradeoff.
