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- "Vibe coding" is often marketed as using AI to automate coding so you never actually look at the code—but this isn't the same as responsible AI-assisted development.
- Pioneers like Andrej Karpathy and Simon Willis define vibe coding strictly as ignoring diffs and fully ceding control—anything else is just using AI tools.
- As soon as you review diffs, manage production systems, or maintain code, you're not vibe coding—and stretching the term dilutes its usefulness.
Don't Fall for Vibe Coding Hype—Here's What It Actually Means
I get it—buzzwords are fun. But vibe coding has stolen the stage so hard that it’s starting to feel like a Silicon Valley sketch. Everyone’s saying it, writing books on it, quoting it in keynotes—but what does it actually mean? Is it the future of programming, or just another hollow hashtag? I’ve been circling this one for weeks, and after some ranting over Twitter and blog-scrolling, I’m finally putting my hot take on paper.
Where "Vibe Coding" Came From (…and What It Actually Means)
Let’s rewind to February 2025, when Andrej Karpathy dropped the term. His point? Real vibe coding happens when you:
- Don’t read the diffs.
- Forget the code exists.
- Let the AI write, debug, iterate—without you ever glancing at the source.
Karpathy said it best: “I’m building a project or a web app but it’s not really coding—I just see stuff, say stuff, run stuff, copy-paste stuff and it mostly works.” That’s vibe coding. It isn’t using Copilot, or inline AI prompts—those still involve looking at the code. This is full AI takeover on throwaway weekend projects.
The Simon Willis Wake-up Call
Simon Willis—no, not that press-thriving Simon—but the guy behind Django and one of the most grounded AI voices I follow—slapped a reality check on the hype. He tweeted that two publishers and three authors are already misusing the term. He’s spot-on: calling any AI-assisted dev “vibe coding” inflates the meaning until it’s nothing but noise.
Same deal as test-driven development: writing tests after the code isn’t TDD. Calling any AI tool integration “vibe coding” is diluting what Karpathy meant when he coined it.
Why Calling Everything "Vibe Coding" Is Dangerous
Think about it: if I see a book titled Vibe Coding for Production Systems, I’m expecting no-code, AI-powered weekend projects—not enterprise-grade pipelines or microservice architectures. That mismatch isn’t accidental—it’s marketing. Labels get slapped on to ride the hype wave, and we end up confused, disappointed, and disillusioned.
But more importantly, overusing the term means losing track of what it signals: “this is throwaway code, full AI control, and no human review.” That’s pretty specific. Stretching it to mean “AI helped me write an API” means joe-average dev just wasted several thousand words for no reason.
When Vibe Coding Actually Works
Okay, hold the pitchforks—I’m not saying vibe coding is useless. It’s honestly liberating sometimes. I’ll never forget the rush when I vibecoded that little WoW-assist script. 10 minutes from zero to working prototype. No diff reviews, no classes, no structural worries—just pure vibes. That feeling of “hey, I made this” is addictive.
But here’s the catch: once you dip into maintenance, production, teammates, security concerns, cost controls—you need to look at the code. Otherwise you’re asking for trouble (and maybe an unwinnable LinkedIn hype battle).
Here’s the Real Distinction
TypeHow it WorksGood ForNot Good ForVibe CodingFully AI-driven, no review, no diffsPersonal scripts, MVP experimentsTeam projects, production codeResponsible AI CodingAI assistance + diff & human reviewReal work, enterprise systems, maintainable featuresOne-off fun builds
Once you start reviewing diffs, managing secrets, rewriting for structure—you’ve left vibe coding. That’s the real message Karpathy & Willis are fighting to preserve. We need precise language if we want to talk about AI's growing role in dev workflows.
The Big Risk of Vibe Coding Hype
By mislabeling everything “vibe coding,” we risk:
- Attracting non-devs expecting zero-code solutions—and then disappointing them.
- Misplacing trust in AI on high-stakes systems that need oversight.
- Diluting the term, making us lose a powerful distinction in our dev toolbox.
But if used right—low-stakes, quick-turn projects—vibe coding can be a gateway drug into programming. It lowers barriers, gets folks smiling early, and maybe—even converts some into lifelong coders who then learn the ropes properly.
Chill on the Label, Embrace the Practice
“Vibe coding” isn’t stupid in theory—it’s an interesting experiment in developer experience and prototyping. But the term is stupid when it’s tossed around wrong. Let’s keep it pure: AI-led, zero-code oversight, weekend hacks. And let’s call everything else—use Copilot, hack with inline prompts, but own the code you ship.
If you’re vibecoding, go enjoy the ride with a toy project. Just don’t hype it like it’s the future of software engineering.
Stay tuned for more hot takes and code deep dives at Land of Geek Magazine!
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