Andrew Ng Says Vibe Coding Still Demands Engineering Fundamentals

Generative AI and vibe coding have sharply lowered the technical and financial barriers to software creation, allowing developers to produce working applications through natural-language prompts. But as the cost of writing code approaches zero, the market is becoming crowded with products that are functional yet undistinguished. The competitive advantage is shifting away from output speed toward the ability to identify worthwhile problems, reject weak ideas and make coherent product decisions.

Blogger NotAShelf recently argued that AI’s near-zero marginal cost for code generation has also amplified shallow claims and merely serviceable software. In what the writer describes as a post-programming era, the main obstacle to success with vibe coding is not access to better tools. It is the absence of taste and judgment — qualities built through repeated failures and used to distinguish technically possible products from those that are genuinely useful and valuable.