Vibe Coding Explained
Published November 5, 2026Updated November 4, 2026
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If you've spent any time around developers lately, you've probably heard someone say they were "vibe coding" a weekend project. It sounds vague, maybe even like a joke, but it's a real shift in how software gets built. This post breaks it down with the classic 5W1H framework, starting with the obvious question.
Vibe coding is building software by describing what you want in plain language and letting an AI model write most of the actual code. Instead of typing out functions and debugging line by line, you tell the AI your intent, review what it generates, and keep iterating until the app behaves the way you imagined.
Andrej Karpathy, a former Tesla AI director, coined the term in a February 2025 tweet. He described it as coding where you "fully give in to the vibes, embrace exponentials, and forget that the code even exists." His point: you get so deep into the flow of prompting and accepting AI output that the code itself almost becomes an implementation detail.
One distinction matters. Vibe coding isn't the same as using an AI assistant like GitHub Copilot to autocomplete code you understand. In true vibe coding, you often don't read the code carefully at all. You judge the result by whether the app works, not by how it's written. Karpathy admitted he'd just say things like "decrease the padding on the sidebar by half" because "I don't care." It's mostly throwaway, weekend-project stuff.
Keep that caveat in mind; the "Why" section comes back to it.
Honestly? Almost everyone, at different depths:
Vibe coding shines in specific moments:
When should you not vibe code? Anything handling payments, personal data, authentication, or anything that must stay secure and maintainable for years. A hospital scheduling system is not a vibe.
Three categories of tools dominate right now:
A practical tip: many people use two tools. Build a rough prototype fast in Lovable, then move the code into Cursor when it's time to make it production-quality.
Three reasons:
There's a reason for caution, too. Security researchers and engineers have flagged real risks: AI-generated code can contain vulnerabilities, and if nobody on the team actually reads it, nobody catches them. Unreviewed vibe coding is fine for a toy and dangerous for anything real. The mature approach is vibe coding plus human review for anything that touches users or data.
Here's a workflow that works, whether you're a beginner or an experienced dev:
Vibe coding is real, it's useful, and it's here to stay, but it's a spectrum, not a binary. On one end: "I asked AI to make a birthday countdown page and never looked at the code." On the other: "I used AI to write 80% of the boilerplate, then reviewed and hardened everything myself." Most successful projects land in the middle.
So pick your spot deliberately. Vibe code your prototypes freely, and treat anything headed for production like code a human wrote, because eventually someone has to live with it. Got an idea you've been sitting on? Describe it to one of these tools this weekend, small and specific, and see how far one prompt gets you.