alt Hacker News> Had LLMs first been presented as a "better IntelliSense", where rather than auto-completing function names, your editor can now suggest implementations, very few people would have been upset.
I'm not rooting for AI companies or hustlers that are out to ride the wave and get rich.
However your claim is just hyperbole. I've used it in cross-cutting projects to extend protocol on desktop, iot device, which involves holding premise long enough to co-develop and test. It is also fantastic in debugging multi-threaded systems.
This is an interesting theme that I see a lot: Some people are firmly anchored to an idea of AI capabilities that is a year or more behind the frontier.
Some times it comes from people who try out ChatGPT free tier or the Google AI summary and think it represents the state of the art.
More recently I suspect it’s from people who build their opinion based on being contrarian and cynical: They dislike the AI people and distrust everything they say. If the AI people say it’s changing the world, then the cynical and contrarian belief is to assume that the technology is actually very bad and they’re just lying to make a lot of money and retire.
These takes were more understandable in the earlier phases of AI when it really was very limited, but it’s getting harder to understand how someone can be thinking of AI as just a slightly better autocomplete or slightly better Grammarly at the end of 2026.