What Is Vibe Coding?

Using AI to generate code through natural language prompts without deep engineering oversight.

Vibe coding is a term for the practice of building software primarily through natural language prompts to AI tools, describing what you want, accepting what comes out, and iterating until the output looks right. The term captures both the accessibility of the approach (you can build things without traditional programming skill) and its risk (you might not fully understand what you have built).

Vibe coding has genuinely democratised software creation. Non-technical founders can now produce working prototypes and demos that would have required a developer just a few years ago. For exploration, personal projects, and proof-of-concept work, this is enormously valuable, it lets ideas be tested quickly without significant technical investment.

The problem arises when vibe-coded applications are treated as production-ready. AI models optimise for code that looks correct and runs locally, they do not optimise for security, scalability, maintainability, or proper error handling. The result is often code that works in a demo environment but breaks under real conditions: auth flows with security holes, database schemas that cannot scale, and errors that fail silently with no way to debug them.

The professional approach to AI-assisted development is different. It uses AI tools, like Claude Code, as accelerators within a structured engineering process: design the architecture first, use AI to implement it quickly, review every output, write tests for critical flows, and maintain the judgment and responsibility for what ships. The speed stays; the chaos does not.

Key takeaway:Vibe coding works great for demos. For production, use AI within an engineering process, not instead of one.

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