August 6, 2026
Rare? Medium? Or fully cooked drama?
Almost no skill required to cook a steak
AI can slap dinner on the plate, but the comments say don’t fire the chefs yet
TLDR: The article argues that artificial intelligence can speed up building software, but it still can’t replace human judgment needed to make it truly good. Commenters mostly agreed — but the real fight was over whether “good enough” slop is all most customers want, and whether bosses will use that as an excuse to cut humans out.
The big claim in this steak-and-software analogy is deliciously simple: artificial intelligence can help make things faster, but it still can’t replace taste, judgment, and knowing what “good” is supposed to look like. In other words, yes, the machine can get something edible onto the plate. But can it make the perfect steak every time? The community’s answer was a loud, slightly weary, and very memeable: not a chance.
The hottest reaction came from people zeroing in on the real horror story: not bad steak, but bosses deciding bad steak is good enough. One commenter basically sounded the alarm that if customers keep accepting “just edible,” restaurant owners — read: companies — will happily cut back on actual chefs. That’s where the drama lives. It’s not just about whether the machine can cook. It’s about whether the people paying the bills even care if dinner is amazing or merely survivable.
And then came the backlash. One blunt commenter torched the whole romance of “great steak” by saying, actually, most people are just hungry. If the food is mediocre but fills you up, they’re fine with it — a brutally practical take that turned the debate from craftsmanship into convenience. Meanwhile, the thread’s funniest drive-by belonged to the one-word correction, “salmon.” A tiny joke, but pure comment-section chaos energy. Even the calmer voices split the difference: cook at home and go out, use the tools and keep the skills. Translation: the crowd isn’t anti-AI — they’re anti pretending a steak machine is a chef.
Key Points
- •The article argues that AI makes software development faster but does not guarantee consistently high-quality results.
- •It says AI-generated software output is often inconsistent, ranging from surprisingly good to clearly flawed.
- •The article states that premium AI tools, agencies, and frameworks do not necessarily solve the underlying quality problem.
- •It argues that AI can follow instructions and repeat processes, but it cannot inherently understand the developer’s intent without clear requirements, constraints, tests, and feedback.
- •The article concludes that AI can assist with repetitive tasks and ideation, but human judgment and understanding remain necessary for building good software consistently.