What Is Vibe Coding?
The term was coined in early 2025 by AI researcher Andrej Karpathy and describes a new way of programming: instead of writing every line of code manually, the developer describes in natural language what they want — and AI writes the code. The human sets the direction, the AI executes.
It's called "vibing" because the focus is no longer on syntax, but on intent — the what and why, not the how.
What Has Actually Changed
This isn't hype. The numbers speak for themselves:
- GitHub Copilot reports that developers using the tool complete tasks on average 55% faster
- Cursor has increased productivity for many professional developers by 3–5x
- Claude Code can independently implement entire feature branches while respecting existing codebase conventions
What used to mean 2 weeks of development time can now be done in 3–4 days. That's not a small difference — it fundamentally changes project calculations.
The Key Tools at a Glance
Cursor
Currently the leading AI code editor. Understands the entire codebase, can think across multiple files simultaneously, and implements features end-to-end. The tool of choice for professional developers.
GitHub Copilot
The broadest adoption in the industry. Deeply integrated into VS Code and JetBrains. Ideal for teams already working in the GitHub/Microsoft ecosystem.
Claude Code
Anthropic's CLI tool that works directly in the terminal. Particularly strong for complex refactorings, architectural questions, and when you need an AI that understands the entire project context.
Bolt / v0 / Lovable
Tools for rapid UI prototyping. A working web app from a text prompt in minutes. Ideal for MVPs and design validation — less suitable for production code.
What This Means for You as a Client
The good news: Projects become faster and cheaper. Features that were previously too expensive become affordable.
What changes:
- Timelines shorten — but not by 80%. The planning, architecture, and testing phases remain similarly demanding.
- Costs for "simple features" decrease significantly. Complex system integration remains labor-intensive.
- Quality depends more than ever on the developer — not despite AI, but because of it. A good developer with AI tools produces excellent code. A poor developer with AI tools produces bad code faster.
The Risks Nobody Likes to Mention
Code quality: AI-generated code often works — but isn't always well-structured, maintainable, or secure. Without code review by experienced developers, technical debt accumulates that becomes expensive later.
Security: AI tools can introduce vulnerabilities they don't recognize themselves. SQL injection, XSS, insecure API designs — all of this happens in AI-generated code when no one looks carefully.
Dependency bloat: AI models tend to suggest quick solutions that bring in additional libraries. This increases complexity and attack surface.
Our Conclusion
Vibe coding is real, productive, and here to stay. But it doesn't replace developers — it changes what a good developer delivers. The value today lies less in typing and more in thinking: architecture, security, maintainability, user experience.
If you want to build a digital product: expect faster implementation. But make sure your development partner uses AI responsibly — with reviews, tests, and an eye for long-term code quality.
[Talk to us](/en/contact) — we develop with the best tools available today, without compromising on quality.