Vibe Coding

Vibe Coding refers to a way of coding that is intuitive and enjoyable, following the flow or “vibe” of programming.
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Definition of Vibe Coding

  • Vibe coding is not a formal academic term. It is a phrase recently used in developer communities and means a coding style where programming is done intuitively and enjoyably, following the flow or vibe.
  • Especially in the AI era, it emphasizes a development style where, instead of writing every line of code directly, developers give goals and feedback in natural language and guide an LLM to generate and modify code.
    • Humans focus on “what to build,” while AI handles implementation details.
  • The term became popular in February 2025 when Andrej Karpathy mentioned the idea of “forgetting the code and fully giving in to the vibe.”

Conceptual Features

  1. Immersion and improvisation
    • Coding immediately according to ideas or instincts that come to mind, without a fixed design
    • A feeling similar to a musical jam session
  2. Flow-centered
    • Freely implements things that “look fun” or “feel like what I want to do now”
    • Enjoyment and flow are more important than code perfection
  3. Fast prototyping
    • Quickly creates and runs a minimum working feature
    • The goal is to make it work first, rather than to build a perfect architecture

Contexts Where Vibe Coding Is Used

  • Early coding learning -> Maintains motivation through free experimentation
  • Hackathons/prototype creation -> Useful when ideas must be implemented quickly
  • Creative work -> Experimental implementation in music, art, games, and more
  • AI-assisted coding -> Building in flow while conversing with AI such as ChatGPT

Workflow (Typical Steps)

  1. Describe the goal -> Explain the result, such as “process vacation approvals/rejections with a Slack bot”
  2. Generate a draft -> The LLM creates the project skeleton
  3. Run and give feedback -> Point out errors or missing features in natural language and repeat modifications
  4. Expand features/refactor -> Present test criteria and converge toward the target

The key point is that development proceeds based on conversational instructions and feedback.

Pros and Cons

Pros

  • Easy to express creativity and stay immersed
  • Fast result checking, making it ideal for prototyping
  • Motivates learning and experimentation because it is fun and easy to continue
  • Lowers the entry barrier for non-developers because they can build with AI
  • Developers move toward a design and quality management role rather than detailed implementation

Cons

  • Lack of structural completeness and stability
  • Risk of bugs and security vulnerabilities
  • Code I did not write directly can be difficult to maintain and debug
  • Not suitable for complex systems such as multi-file projects or legacy integrations

Difference from AI-Assisted Coding

  • AI-assisted coding (for example, Copilot) -> I write code, and AI supplements or recommends
  • Vibe coding -> AI writes most of the code, while the human presents goals, constraints, and tests

Practical Guardrails

  1. Tests first -> Define unit, integration, and E2E tests first
  2. Static analysis/security checks -> Automate linters, SAST, and dependency vulnerability checks
  3. Review and records -> Document requirements, acceptance criteria, and risks, then approve the final result
  4. Sandbox environment -> Use a safe execution space and block sensitive information
  5. Refactoring before production -> Schedule a separate sprint
  6. Fix domain knowledge in place -> Continuously provide API specs, error cases, and performance criteria

Suitable and Unsuitable Cases

  • Suitable -> Hackathons, PoCs, personal tools, UI/frontend prototypes
  • Requires caution -> High-trust or regulated environments such as finance, healthcare, and embedded systems

Starter Prompt Template

  • Goal: What is being built, who uses it, and why

  • Features: List of required and optional requirements

  • Constraints/criteria: Security, performance, accessibility, licensing

  • Tech stack: Language, framework, DB, deployment method

  • Acceptance criteria: Test scenarios that must pass

  • Working method: Small PRs, step-by-step testing, commit rule compliance

  • Example

    • “Build a personal shared to-do board with Next.js + SQLite. First propose 5 required features and 3 E2E tests, then implement each feature in a TDD cycle. Security should include OAuth, XSS prevention, and rate limiting.”

Summary

  • Vibe coding is a development style that follows inspiration and flow rather than formal design, especially using AI to experiment improvisationally and produce results quickly.
  • It is powerful for prototypes, hackathons, and personal projects, but security, testing, and refactoring are essential for production-level use.