The Digital Press

A two-week experiment building a simplified Facebook Ads app entirely with AI assistance revealed significant frustrations and limitations in current LLM-based development workflows. Despite high hopes, the team found the AI-generated code lacked maintainability, context awareness, and disrupted development flow.

Why it matters: Current AI tools struggle with context, abstraction, and feedback, limiting their usefulness for complex app development.

The big picture: AI excels at small, well-defined tasks like coding snippets or writing tests but falls short on end-to-end project reliability.

The stakes: Overreliance on AI without human oversight can lead to messy, inconsistent code and lost developer productivity and enjoyment.

Commenters say: Users resonate with the frustration over AI’s lack of interactive feedback, emphasizing AI’s best use is aiding known tasks, not replacing developer judgment.