Skip to main content

Vibe Coding

What is Vibe Coding?​

Vibe coding is an emerging approach to software development coined by Andrej Karpathy, an AI engineer formerly at Tesla and OpenAI, in early 2025. It represents a paradigm shift where developers "give in to the vibes, embrace exponentials, and forget that the code even exists."

In practical terms, vibe coding means using AI to build software by simply describing what you want in natural language. Rather than writing code yourself, you engage in a conversation with an AI, explaining your requirements, and the AI generates the actual code. When issues arise, you describe the problem, and the AI provides fixes.

Vibe Coding Workflow

How Vibe Coding Works​

Core Process​

The basic process involves five steps:

  1. Choose an AI coding tool - Select from various AI coding platforms
  2. Describe your idea - Explain your desired software in detail using natural language
  3. Review the result - Examine and test what the AI created
  4. Refine through conversation - Tell the AI what needs changing or fixing
  5. Deploy and share - Publish your finished creation

Key Difference​

The key difference from traditional development is the conversational, iterative process. You're not writing code directly but instead engaging in dialogue with the AI about what you want to create.

This transforms the development process from:

  • Writing syntax → Describing intentions
  • Debugging errors → Explaining problems
  • Reading documentation → Asking questions
  • Manual implementation → Guided creation

Voice-Driven Vibe Coding​

A powerful advancement in vibe coding is the ability to code using your voice. Tools like SuperWhisper enable a completely hands-free coding experience where you can speak your instructions and see code materialize in real-time.

Key advantages of voice-driven vibe coding include:

  • Increased speed - Speaking is faster than typing for many people
  • Reduced physical strain - Helps prevent repetitive stress injuries
  • Natural expression - Allows for more fluid and intuitive descriptions
  • Accessibility - Makes coding more accessible to people with certain disabilities

Learn more about voice-based vibe coding →

Alignment with Our Vision​

Democratizing Development​

Vibe coding perfectly complements our mission of "empowering organizations to harness the transformative power of agentic AI from within." It exemplifies how we can:

  • Make AI accessible to all: Non-programmers can now build functional software, democratizing development
  • Transform passive tools into active partners: AI becomes an active collaborator in the development process
  • Augment human potential: Technical limitations no longer constrain people's creative ideas

Supporting Transformation​

By incorporating vibe coding principles into our platform, we can:

  • Accelerate the journey from idea to implementation
  • Allow domain experts to contribute directly to solution development
  • Reinforce our belief that internal expertise combined with AI capabilities creates the strongest foundation for digital transformation
  • Empower teams to stay ahead in the rapidly evolving AI landscape
  • Make enterprise AI both powerful and responsibly manageable

Game Development with Vibe Coding​

Game development has emerged as one of the most exciting applications of vibe coding, allowing creators to build interactive experiences with minimal coding knowledge.

Notable examples include Nicolas Zullo's flight simulator, created through thousands of carefully crafted prompts. This project demonstrates how complex, interactive applications can be built using the vibe coding approach.

Explore more vibe coding examples →

Implementation Guide​

Getting Started​

  1. Select an appropriate AI coding tool (see Tools & Platforms)
  2. Define clear project objectives and requirements
  3. Start with small, well-defined components
  4. Establish a feedback and testing process
  5. Document AI-human collaboration patterns that work for your team

Advanced Techniques​

For those looking to master vibe coding, consider these advanced approaches:

  • Creating implementation plans before coding
  • Using structured memory systems to maintain context
  • Developing custom prompt libraries for common tasks
  • Implementing quality assurance processes for AI-generated code

Explore practical examples → Learn best practices →