May 22, 2026
Suit up, freak out
The AI Elephant in the Room
AI won’t replace everyone overnight, but the comment section says bosses might try anyway
TLDR: Josh W. Comeau argues that AI helps skilled programmers most, while beginners often hit a wall fast. Commenters mostly agree, but the real drama is fear that company leaders will use AI hype to cut jobs anyway — whether the tools are truly ready or not.
Josh W. Comeau basically walked into the most awkward party in tech and said the quiet part out loud: yes, today’s artificial intelligence can be surprisingly good at writing code, but no, that does not mean human programmers are instantly finished. His main point is that the people getting the biggest wins are already highly skilled. He points to experts using AI like a supercharged assistant, while beginners often end up stuck in what one commenter hilariously called “arguing with a ghost.”
And wow, the community had feelings. One camp agreed with Josh’s “AI is a tool” framing, but immediately started fighting over the metaphor. Was it a guitar? A kitchen? Iron Man’s suit? That last one launched its own mini-drama, with one commenter sniping, “Someone needs to watch Iron Man 3...” because apparently even superhero analogies aren’t safe online. Another person shared a very relatable confession: using AI to mock up a screen felt magical in real time, but the actual code underneath was “awful” — the kind of mess a newcomer might accidentally ship.
The spiciest comments, though, weren’t about coding at all. They were about management panic. One commenter argued that whether AI truly replaces workers is almost beside the point, because executives are chasing layoffs with “FOMO-like mania” and “AI psychosis.” Others pushed back on the senior-versus-junior debate, saying the real issue is learning: if AI does too much too early, beginners may never build the skills needed to tell good work from slick-looking junk. In other words: the machines aren’t the only elephant in the room — boss behavior is stomping around too.
Key Points
- •The article says AI models have become highly capable at many programming tasks, though they remain imperfect.
- •Josh W. Comeau argues there is no evidence in his experience that large language models can independently design and build software projects of all sizes without human developers.
- •The article presents Matt Perry as an example of an expert developer using AI to increase output, including closing 160 issues in Q1 after targeting 60.
- •Comeau contrasts expert success with reports from less experienced users on `/r/vibecoding`, where people describe getting stuck after early MVP progress.
- •The article concludes that AI is a tool whose value depends heavily on the user’s technical skill and ability to guide it effectively.