AI BriefingVibe Coding Guide for the AI Agent Era: How to Use Cursor, Copilot, Claude Code, and Codex CLI
Key point
This article explains the concept of vibe coding proposed by Andrej Karpathy and the importance of prompt engineering, comparing the features and use scenarios of four AI coding tools: Cursor, GitHub Copilot Agent, Claude Code, and OpenAI Codex CLI.
Details
Vibe Coding is a term introduced by Andrej Karpathy, referring to a method where AI generates code when developers convey their intent in natural language. Karpathy cited 'coding by voice' using voice input as an example, proposing a new collaboration model where developers focus on ideas and problem definition rather than code implementation. This article emphasizes the importance of prompt engineering, which determines the success or failure of vibe coding, and introduces four key prompt types: code writing, explanation, translation, and debugging. It also provides a detailed analysis of the pros and cons, suitable use scenarios, and autonomy levels of four AI coding tools used in practice—Cursor, GitHub Copilot Agent, Claude Code, and OpenAI Codex CLI—to help developers choose appropriately or use them in parallel based on their project environment.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.