Codex

Codex is OpenAI's multi-agent orchestration layer and command center for running AI coding agents.

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In Simple Terms

Think of Codex as a mission control center for AI coding agents: you define the mission, and Codex launches and coordinates the agents that carry it out.

Detailed Explanation

Codex provides a unified interface to spawn, monitor, and coordinate AI coding agents. It sits above tools like Cursor and enables running multiple agents in parallel, managing tasks, and orchestrating complex development workflows. Codex helps developers delegate work to AI agents while keeping oversight and control. When to use Codex: when you need to run multiple AI agents in parallel, when you want a central hub for agent orchestration, or when you need to coordinate AI-assisted coding across tasks. Common mistake: treating Codex as a replacement for Cursor—Codex orchestrates agents; Cursor is an IDE where those agents may run.

Related Terms

RAG

Retrieval-Augmented Generation combines AI models with external knowledge retrieval for accurate responses.

Intent Engineering

Intent engineering is the practice of aligning AI behavior with user goals and business outcomes—designing prompts and workflows so the AI understands and fulfills what users actually want.

Context Engineering

Context engineering is the practice of structuring and managing context—including system prompts, RAG (Retrieval-Augmented Generation), memory, and few-shot examples—so AI systems have the right information to answer accurately.

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