Andrew Ng explains why “vibe coding” understates the mental effort of AI assisted development.

2026-01-02 · Source: No Priors: AI, Machine Learning, Tech, & Startups · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

Andrew Ng argues that "vibe coding" misrepresents the mental effort required for AI-assisted software development. While AI tools like GitHub Copilot can accelerate coding, the process remains a deeply intellectual exercise, demanding significant cognitive engagement from the developer. Ng describes this as "rapid engineering," where AI enables faster system and product creation, but emphasizes that it is still rigorous engineering work, often leading to mental exhaustion after a day of use. The term "vibe coding" incorrectly suggests a more passive and less demanding interaction with AI.

Key takeaway

For Software Engineers adopting AI-assisted coding tools, recognize that this is "rapid engineering" rather than passive "vibe coding." Your mental effort will remain high, and you should plan for cognitive load similar to traditional engineering, despite the increased speed. Don't underestimate the intellectual demands; treat AI as an accelerator for complex tasks, not a replacement for deep thought.

Key insights

AI-assisted coding is rapid engineering, not passive "vibe coding," requiring significant mental effort.

Principles

• AI accelerates engineering, but doesn't simplify it.
• Cognitive load remains high with AI assistance.

In practice

• Integrate AI for faster system development.
• Anticipate mental fatigue from AI-assisted tasks.

Topics

• AI-assisted Development
• Andrew Ng
• Rapid Engineering
• Developer Mental Effort

Best for: AI Engineer, Machine Learning Engineer, Software Engineer

Related on AIssential

• When Your Vibe Coded App Goes Viral—And Then Goes Down — AI-driven "vibe coding" enables rapid app development, but human engineers are crucial for quick debugging.
• Breaking the Spell of Vibe Coding — Vibe coding can induce a "dark flow" state, mimicking productive engagement while hindering genuine skill development and accurate self-assessment.
• How to vibe code in science: early adopters share their tips — Vibe coding with LLMs enables rapid code generation and application development through conversational prompts, democratizing complex programming tasks.
• Vibe Coding Is Great. Vibe Reviewing Is Terrifying. — AI-assisted code generation creates significant challenges for traditional code review processes and senior engineers.
• The Death of Syntax: Why Traditional Coding is Vanishing and “Vibe Coding” Just Captured $60… — AI-driven "vibe coding" replaces traditional syntax, enabling natural language orchestration of complex tech stacks.
• Vibe Coding's Uncanny Valley [Alexandre Pesant] - 752 — AI-assisted "vibe coding" is rapidly evolving, enabling non-technical users to build applications through natural language.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by No Priors: AI, Machine Learning, Tech, & Startups.