Vibe Coding
The Future of Development
Vibe coding is the practice of building software by describing what you want in natural language while AI handles the actual code generation. No syntax memorization, no debugging semicolons—just describe your vision and watch it come to life.
What Is Vibe Coding?
Vibe coding represents a fundamental shift in how software gets built. Instead of learning programming languages, memorizing syntax, and manually writing every line of code, developers describe what they want in plain English and AI generates the corresponding code. The term captures the essence: you communicate the vibe of what you want, and AI translates that into working software.
The concept gained mainstream attention in 2024-2025 as AI coding tools matured beyond simple autocomplete into genuine code generation. Tools can now understand complex requirements, make architectural decisions, and produce production-quality code that would take human developers hours or days to write.
Vibe coding is not about replacing developers—it is about democratizing development. Non-technical founders can build MVPs. Designers can prototype functional applications. Developers can move faster by focusing on high-level decisions rather than implementation details.
Fastshot embodies the vibe coding philosophy for mobile apps. Describe your mobile application—the screens, features, user flows—and Fastshot generates complete React Native code. The output is real, production-ready code that you own and can modify.
How Vibe Coding Works
Natural Language Input
Describe what you want in plain English. "Create a fitness tracking app with workout logging, progress charts, and social sharing." No programming syntax required.
AI Interpretation
AI models trained on millions of code repositories understand your intent. They translate descriptions into technical requirements, make architectural decisions, and plan implementation.
Code Generation
The AI writes actual source code—not templates or configurations, but real programming code in languages like JavaScript, TypeScript, Python, or Swift.
Iterative Refinement
Vibe coding is conversational. "Make the buttons larger." "Add a dark mode." "The chart should show weekly instead of daily data." Each instruction refines the output.
Real Code Ownership
Unlike no-code platforms that lock you in, vibe coding produces standard source code. You can export it, modify it manually, or continue development traditionally.
Instant Preview
See your described application running immediately. Test interactions, identify issues, and iterate rapidly without waiting for build cycles.
Vibe Coding vs Traditional Development
| Aspect | Vibe Coding | Traditional Coding |
|---|---|---|
| Learning curve | Minutes to start | Months to years |
| Input method | Natural language | Programming syntax |
| Speed | Minutes to hours | Days to weeks |
| Technical skill needed | Problem description | Programming expertise |
| Customization | Describe changes | Write code changes |
| Output | Real source code | Real source code |
| Code ownership | Full ownership | Full ownership |
The Rise of Vibe Coding
Vibe coding emerged from advances in large language models (LLMs) that can understand and generate code. Early tools offered autocomplete and code suggestions. Modern tools generate entire applications from descriptions. The trajectory is clear: AI coding capabilities are improving exponentially. What required extensive prompting in 2023 now works with simple descriptions. What seems impressive in 2025 will likely be routine by 2026. For mobile app development specifically, vibe coding is particularly powerful. Mobile apps follow recognizable patterns—navigation, lists, forms, cards, authentication flows. AI trained on these patterns can generate appropriate implementations for common requirements without extensive instruction.
Vibe Coding Best Practices
Be Specific About Outcomes
Describe what you want users to experience, not technical implementation. "Users should be able to save items for later and see them in a wishlist" works better than trying to specify database schemas.
Iterate Incrementally
Start with core functionality, then add features. "Create a basic task list" first, then "add due dates and reminders" later. This produces better results than one massive description.
Review and Refine
AI-generated code benefits from review. Test the functionality, identify gaps, and describe improvements. The conversation refines the output.
Provide Context
Mention your target users, industry, and constraints. "This is for healthcare professionals who need HIPAA compliance" helps AI make appropriate choices.
Know When to Code
Vibe coding excels at common patterns. Highly specialized logic may still benefit from manual coding. The best practitioners know when to switch approaches.
Vibe Coding FAQ
About the Author
Elvira Dzhuraeva is an expert in AI mobile app development and React Native. A former Senior Product Manager at Google specializing in AI/ML and Generative AI, she is the Founder of Fastshot (YC-backed) and a founding contributor to Kubeflow.