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      AI3 min readUpdated: September 10, 2026

      Vibe Coding

      Vibe coding describes software development strongly directed through natural-language prompts to AI. Requirements and changes are expressed in words. In its narrower use, experimentation takes precedence over thoroughly reviewing generated code; the term is also used more broadly.

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      Vibe Coding explained

      An idea can become an interactive draft early. For a marketing team, this can make a workflow easier to discuss: what input does a calculator need, which output supports the decision, and where does a get stuck?

      A working draft leaves operational questions unanswered. Are data saved correctly? Who can read or change them? What happens when something fails? These concern application behaviour and cannot be assessed from appearance alone.

      AI-assisted development can also include careful reading, testing and revision of code. Describe the actual process rather than relying on a label: who owns requirements, implementation, acceptance and maintenance?

      At Davies Meyer, we connect early exploration of an idea with assessment of its intended use. We judge speed through a usable result, including correction and operational preparation. We take responsibility for the concept and quality.

      Examples

      Hypothetical application

      A team creates an interactive prototype through prompts using test data. Colleagues assess whether its questions make sense. Before production use, storage, permissions, error messages and ownership are implemented and checked separately.

      Key Points

      • Prompt-led development makes ideas tangible early.
      • Distinguish a prototype from an operational application.
      • Technical review should fit the functions and use.
      • Clarify maintenance and ownership from the start.

      Practical application

      Start with a clear task and suitable test data. Use the draft for early feedback. Before production, define the functions that must pass review and who will operate the application.

      Useful measures

      Time to assessed output

      Total duration from idea to a version accepted for its purpose.

      Rework

      Effort for substantive, technical and design corrections.

      Operational reliability

      Failures, recoverability and clear ownership during use.

      Common mistakes

      • Treating an attractive interface as complete technical acceptance.
      • Counting only time to the first draft.
      • Leaving a published application without maintenance ownership.

      Sources and context

      • Collins: Word of the Year 2025 – vibe coding

        Context on the use of the term for AI-assisted software creation.

      • NIST: Generative AI Profile

        Generative AI risk management including review of generated code; not a blanket approval.

      Frequently Asked Questions about Vibe Coding

      Not necessarily. Usage varies. A team can use AI while systematically understanding, reviewing and maintaining the code.

      Often. Visible interaction alone does not establish correct storage, effective permissions or dependable error handling.

      Compare the whole path to the required result: drafting, expert feedback, technical review, corrections and maintenance. There is no fixed universal time saving.

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