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What programming languages does Codex support?

OpenAI Codex supports a comprehensive range of programming languages, making it versatile for various software development projects. The system is proficient in over a dozen major programming languages including Python, JavaScript, TypeScript, Go, Ruby, C++, C#, Java, PHP, Swift, Kotlin, and many others. Python receives particular attention since much of Codex’s training data consisted of Python code from GitHub repositories, making it exceptionally strong in this language. However, the model’s multilingual capabilities extend well beyond Python to cover most popular languages used in modern software development.

The depth of language support varies depending on how much training data was available for each language and how commonly it appears in open source repositories. Languages like JavaScript, Python, and Java tend to have the strongest support due to their prevalence in the training data, while more specialized or newer languages may have somewhat limited support. Codex also understands markup languages like HTML and CSS, configuration files like JSON and YAML, and can work with database query languages like SQL. This broad language support means developers can use Codex across different parts of their technology stack without switching tools.

Beyond just syntax support, Codex understands the idiomatic patterns and best practices specific to each language. For example, when working with Python, it understands concepts like list comprehensions, decorators, and context managers. In JavaScript, it grasps concepts like promises, async/await, and modern ES6+ features. This contextual understanding allows Codex to generate code that not only works but follows the conventions and patterns that experienced developers in each language would expect. The system can also translate concepts between languages, helping developers port functionality from one language to another while maintaining appropriate language-specific implementations.

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