I was scrolling through TikTok the other day and saw something that made me pause. An AI-generated filter that was supposed to be funny turned out to be… well, racist. Not intentionally, I think, but the pattern recognition went haywire and amplified stereotypes instead of creating harmless entertainment. And it got me thinking: this isn’t just a social media problem—it’s a vibe coding problem.
See, when we’re building with AI, we’re not just writing code anymore. We’re defining intentions, setting boundaries, and trusting the system to assemble the right pieces. But what happens when our intentions aren’t clear enough? When the vibes we’re coding with accidentally include biases we didn’t even know we had?
This brings me to the core principle that matters here: 「Code is Capability, Intentions and Interfaces are Long-term Assets」(Ten Principles of Vibe Coding). The code itself? Disposable. Generated in seconds, replaced in minutes. But those intentions—the prompts, the specifications, the boundaries we set—those are what stick around. And if they’re flawed, the whole system inherits those flaws.
Remember Microsoft’s Tay chatbot? Or more recently, those AI image generators that couldn’t stop making everyone look white? These aren’t just technical failures—they’re intention failures. We’re learning the hard way that vague prompts like 「make it engaging」 or 「be funny」 without proper guardrails can lead to disaster.
Here’s where Vibe Coding principles actually give us an advantage. The focus on 「Verification and Observation are the Core of System Success」(Ten Principles of Vibe Coding) means we’re forced to build testing and monitoring right into our development process. No more 「ship it and forget it.」 We’re watching how our creations behave in the wild, ready to course-correct when they start heading down problematic paths.
But here’s the real kicker: as Vibe Coding becomes more accessible, we’re heading toward 「Everyone Programs, Professional Governance」(Ten Principles of Vibe Coding). Business people, marketers, even your grandma might be assembling AI capabilities soon. That’s powerful—but scary. Because without understanding the responsibility that comes with programming, we’re going to see a lot more racist TikToks and biased content filters.
The solution isn’t to stop vibe coding—it’s to vibe code better. To be more specific in our intentions. To test for edge cases we’d rather ignore. To acknowledge that 「Avoid Data Deletion」(Ten Principles of Vibe Coding) means we can’t just sweep our mistakes under the rug—we have to learn from them.
So next time you’re prompting an AI to generate something, ask yourself: what unintended consequences might this have? What biases could be hiding in my assumptions? Because in the world of vibe coding, our intentions are the new source code—and they need to be clean, clear, and carefully considered.
After all, if we’re going to build the future with AI, we’d better make sure it’s a future worth living in. Don’t you think?