CodeGeeX

CodeGeeX is a versatile AI coding assistant powered by a 13-billion-parameter model. It enables code generation, translation, and intelligent support across 20+ programming languages, helping developers accelerate workflows and enhance productivity with seamless IDE integration.

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Introduction

What is CodeGeeX?

CodeGeeX is a robust, multilingual code generation platform featuring a 13-billion-parameter model trained on over 850 billion tokens from more than 20 programming languages. It delivers capabilities such as code generation, cross-language translation, automated documentation, and smart Q&A. The platform offers complimentary IDE plugins for widely-used development environments and supports both cloud and on-premises deployment. Through its HumanEval-X benchmark—comprising 820 coding challenges in five languages—CodeGeeX showcases exceptional performance in multilingual code generation.

Key Features

- Multi-Language Code Generation: Produce high-quality, executable code in over 20 languages, including Python, Java, C++, JavaScript, and Go.

- Cross-Language Code Translation: Effortlessly convert code between different programming languages with a single click, maintaining high accuracy.

- IDE Integration: Free extensions for VS Code, JetBrains IDEs, and other popular environments, offering code completion, explanation, and summarization.

- Project-Level Analysis: Advanced cross-file analysis and Q&A tools that retrieve and interpret information across entire code repositories.

- Local Mode Support: Offline functionality that allows developers to link local models for uninterrupted code completion and Q&A without internet access.

Use Cases

- Accelerated Code Development: Rapidly generate boilerplate code, complete functions, and implement algorithms in multiple programming languages.

- Legacy System Migration: Efficiently transition applications between programming languages using precise translation features.

- Automated Documentation: Create comments, explanations, and documentation automatically to boost code maintainability.

- Educational Support: Assist learners in understanding coding concepts and deciphering complex code across various languages.

- Code Review and Debugging: Detect errors, propose solutions, and conduct code reviews with AI-driven analysis and recommendations.