Vibe Coding Is Here to Stay
TLDR: Vibe coding means describing your intent in plain language and letting an AI agent generate the implementation. It is not a replacement for understanding code — it is a force multiplier for developers who do. The teams shipping fastest right now are the ones that have embraced vibe coding for prototyping, boilerplate, and well-defined tasks while keeping human judgment for architecture, edge cases, and code review.
[Anders' take — coming soon]
The term "vibe coding" started as a joke. Andrej Karpathy tweeted about it in early 2025, describing a way of programming where you "fully give in to the vibes" and let the AI write everything. People laughed. Then people tried it. Then people started shipping real products with it.
Here is what vibe coding looks like in practice. You open your AI coding agent, describe what you want — "add a settings page with a dark mode toggle that persists to local storage" — and the agent writes the component, the state management, the CSS, and the tests. You review the output, run it, adjust as needed, and move on. The entire cycle takes minutes instead of hours.
This is not the same as copying code from Stack Overflow or using GitHub Copilot's line-by-line suggestions. Vibe coding operates at a higher level of abstraction. You are describing outcomes, not implementations. The AI handles the implementation details while you focus on what the software should actually do.
Why does it work? Three reasons:
- Modern AI models have been trained on essentially all public code ever written. They know the patterns, the libraries, the idioms. For well-trodden paths — CRUD operations, UI components, data transformations — the AI generates code that is as good as what most developers would write manually
- Natural language is a more efficient interface for many tasks. Describing a feature in two sentences is faster than typing out 200 lines of implementation, even for a fast typist
- The feedback loop is tight. You describe, the AI generates, you review, you adjust. Each iteration takes seconds, not hours
Where does it break down? Also three areas:
- Novel architecture decisions: the AI can implement patterns it has seen, but it cannot invent the right architecture for your specific system. That requires understanding your constraints, your team, and your business
- Edge cases and error handling: vibe coding tends to produce happy-path code. The subtle bugs — race conditions, boundary cases, error recovery — still need human attention
- Security: AI-generated code can introduce vulnerabilities that look correct on the surface. Code review is not optional
The professional approach to vibe coding is not "let the AI do everything" or "never use AI." It is knowing when to vibe and when to think. Use vibe coding for the 80% of development work that is well-defined and pattern-based. Apply deep human thinking to the 20% that requires judgment, creativity, and domain expertise.
Teams that have adopted this hybrid approach report shipping 2-3x faster without a decrease in code quality. The key is that vibe coding frees up developer time and mental energy for the hard problems — the ones where human expertise actually matters.
The developers who will thrive in this new reality are not the ones who refuse to use AI, nor the ones who abdicate all decisions to it. They are the ones who learn to direct AI effectively — who can describe what they want clearly, evaluate the output critically, and know when to take the wheel back.