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GlossaryModelsIntermediate

Codex

Also written: Codex CLI, OpenAI Codex CLI, Codecs, coder-decoder, Codex technology, OpenAI Codex, Codex Integration, Codex AI

Codex is an AI system from OpenAI that translates natural language into computer code, making it easier to build software.

In plain terms

Codex is an AI tool developed by OpenAI that helps people write computer code. You can give it instructions in plain English, and it will generate the corresponding code.

This can speed up software development. For example, a company called loveholidays used Codex to let people who are not engineers build new software features. This helped them make changes and release new parts of their software faster.

The expert version

Codex is an AI model developed by OpenAI that translates natural language prompts into executable code. It is built upon OpenAI's GPT architecture and fine-tuned on a massive dataset of publicly available code. Codex enables developers and even non-developers to generate code snippets, functions, or even entire programs by describing their desired functionality in plain English.

Its primary application is in accelerating software development workflows. It can be integrated into IDEs or used through APIs to assist with tasks like boilerplate code generation, debugging, and translating code between languages. A key tradeoff is that generated code requires careful review and testing, as it may not always be optimal, secure, or entirely correct.

Why it matters now

Codex is appearing in news because companies are finding new ways to integrate its natural language to code capabilities into business and developer tools. Recent examples show its use in helping business users access data, assisting engineers with production issues, and optimizing AI development costs. This highlights a trend of making complex technical tasks more accessible through AI.

Where it shows up 83 items, newest first
How each company uses it
Google Gemini
Google Gemini's advancements in multimodal AI may lead to similar code generation or natural language understanding capabilities.
Meta Meta AI
Meta AI's research in large language models could involve developing or utilizing similar AI technologies for code generation or understanding.
Microsoft Copilot
Microsoft Copilot likely leverages or competes with Codex-like technology for its code generation and developer assistance features.
OpenAI ChatGPT
OpenAI's Codex is a foundational AI model for translating natural language into computer code, and is being integrated into various products and developer communities.
Related terms

GPT-4CopilotCode GenerationNatural Language ProcessingSoftware DevelopmentLarge Language Models

Often confused with
GitHub Copilot
GitHub Copilot is a code completion tool powered by OpenAI's Cod
ChatGPT
While Codex can be accessed through ChatGPT, Codex is specifically focu
Origin

Codex was introduced by OpenAI in 2021 as a descendant of the GPT-3 model, specifically trained to translate natural language into code. Its capabilities were demonstrated through tools like GitHub Copilot. Source ↗

Try this about 5 minutes

Open ChatGPT and ask it to write a simple Python function, like 'Write a Python function that takes a list of numbers and returns the sum.' Review the code it generates. You can then ask it to explain the code or modify it, for example, 'Explain this code' or 'Modify this function to return the average instead of the sum.'

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

Can Codex write any programming language?
Codex is proficient in many popular programming languages, including Python, JavaScript, and others, due to its extensive training data.
Is Codex free to use?
Access to Codex capabilities may vary depending on the platform or product it is integrated into, such as through OpenAI's API or specific ChatGPT subscriptions.

First seen on Subvolts Nov 18, 2021. Updated Oct 17, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.