Vibe Coding Is Fun but Fails at Scale, Developers Are Learning the Hard Way

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Vibe coding — the practice of using AI tools like Claude, Cursor, or Gemini to generate code from simple text prompts — surged in popularity by making software prototyping fast and accessible. Developers found they could turn ideas into working demos in a single evening, bypassing tedious boilerplate setup. However, as projects grew in size and complexity, the approach revealed serious weaknesses: AI would break unrelated features, lose context over long conversations, and produce code with no underlying architecture. Many developers, including the author, realized the root problem was skipping foundational steps like requirements gathering and system design — the core principles of the Software Development Life Cycle. The emerging consensus is that vibe coding works well for quick prototypes but must be paired with proper engineering practices to build anything meant to last.

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