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The Problem with Traditional AI Development

Many teams begin using AI with expectations like:

"The AI will write our code."

What they quickly discover is:

Consider this request:

Create a product card component.

Run this prompt multiple times across different AI systems.

You may receive:

  • Different folder structures
  • Different naming conventions
  • Different testing approaches
  • Different state management strategies
  • Different component hierarchies

This is generative development.

The AI generates a solution.

But there is no guarantee it generates the same solution tomorrow.

Mini Exercise​

Compare a one-shot feature prompt with a structured generation workflow.

List what makes the one-shot approach less reliable.

Example​

A prompt like Build a product page may produce working code, but the result can vary in naming, structure, and testing because no architectural path was defined first.