July 24, 2026
Bugged, bothered, and bizarrely hyped
Nothing works and everyone is euphoric
AI hype is booming, but furious users say apps, cars, and even fridges are falling apart
TLDR: The article argues that even as artificial intelligence tools explode in popularity, everyday software feels worse, from banking apps to car dashboards. Commenters mostly agree the real problem isn’t the bots — it’s bloated companies, bad incentives, and a culture that rewards flashy new features over fixing what’s broken.
The article throws a bucket of cold water on the "AI will fix everything" fantasy: if machines are supposedly writing the future, why does everyday software still feel like a prank? The writer’s horror reel is painfully relatable — a banking app that needs repeated face scans, Slack blurting a private command into a work chat, a warranty form that dies at the finish line, and a car screen so buggy it becomes a driving distraction. That last one especially hit a nerve, because readers were not in a forgiving mood.
But the comments quickly turned into a full-on blame game, and AI wasn’t even the main villain. Several people basically said, “Nice try, but software has been bad for years.” The hottest consensus? Big companies are trapped in a chaos machine where nobody really owns the problem, everyone is chasing the next shiny feature, and fixing boring bugs earns no applause. One commenter summed it up like a workplace scream into the void: the most important work often isn’t what anyone is rewarded for doing.
Then came the side-quest comedy. One reader got distracted by the author linking to a Linux project that explains itself only through video, responding with the internet’s most cutting review: I will not watch your video. Meanwhile, the darkest plot twist came from a mediator who said they’ve seen people become weirdly convinced by chatbot-assisted legal arguments, giving the article’s “AI psychosis” line an unsettling dose of real-world backup. In other words: the machines may be getting smarter, but the crowd thinks the systems around them are getting dumber.
Key Points
- •The article contrasts strong enthusiasm around AI coding tools with the author’s view that software quality is still worsening.
- •It lists recent examples of software problems across a banking app, Slack on macOS, an LG warranty workflow, and a car infotainment system.
- •The article says software fragility has grown as systems have become more complex through added abstractions, frameworks, and infrastructure.
- •It argues that access to modern large language models has not automatically led to better software products.
- •The article attributes part of the quality problem to KPI-driven product priorities that favor new features over bug fixing and stability work.