Artificial Intelligence (AI) is the simulation of human intelligence by computer systems, enabling machines to learn from data, recognize patterns, make decisions, and generate content including code. In vibe coding, AI powers the assistants that transform natural language descriptions into working software.
The term was coined by John McCarthy in 1956 at the Dartmouth Conference, widely considered the birthplace of AI as a field. The recent explosion in AI capabilities (2022-present) has been driven by large language models trained on vast datasets.
Artificial Intelligence is the technology that makes vibe coding possible. At its core, AI refers to computer systems that can perform tasks typically requiring human intelligence — understanding language, recognizing patterns, learning from examples, and generating new content.
The recent breakthrough in AI capabilities comes from large language models (LLMs) — neural networks trained on massive amounts of text and code. These models can:
Before AI assistants, building software required translating ideas into precise syntax manually. AI changes this equation:
| Traditional Development | AI-Assisted Development |
|---|---|
| Write every line | Describe intent, review output |
| Debug syntax errors | Focus on logic and design |
| Search documentation | Ask questions directly |
| Learn frameworks first | Build while learning |
Code Completion — Suggests the next few tokens as you type (GitHub Copilot, Codeium)
Conversational AI — Chat-based assistants that understand complex requests (Claude, ChatGPT)
Agentic AI — Systems that can take autonomous actions, run code, and iterate (Cursor Agent, Devin)
AI doesn't replace developers — it changes what they focus on. The skills that matter shift toward:
This is why vibe coding works: AI handles implementation details while humans provide direction, judgment, and creativity.