CodeGeeX is an AI-powered programming assistant that helps developers write code more efficiently. It uses large language models (...moreLLMs) to provide intelligent code suggestions, automatic comment generation, code translation between programming languages, and an AI chatbot to answer coding questions. show less
Code Completion - CodeGeeX can autocomplete code lines and generate multiple lines of code ahead based on existing code or natural language comments. This speeds up coding dramatically.
Comment Generation - The tool can automatically generate comments for code at method and line levels, saving significant time and helping understand unfamiliar code.
Code Translation - CodeGeeX enables semantic translation of code between programming languages like Python to Java, JavaScript to Go etc. This makes porting code to new languages easy.
AI Chatbot - Developers can ask CodeGeeX coding related questions and get answers instantly instead of searching the web. The chatbot provides solutions for common technical issues.
Additional Features - Other capabilities include interpreting selected code, fixing code bugs, code summarization, and more through shortcuts and natural language questions.
Use Cases and Applications
CodeGeeX can benefit all developers across software teams and organizations. Some examples of how it can be used:
Speeding up coding for software engineers and programmers on a daily basis.
Helping new developers quickly learn and ramp up on large codebases by generating comments and explanations.
Enabling porting of code between programming languages for cross-platform development.
Assisting software teams with quick prototyping and MVP development by generating boilerplate code.
Allowing non-developers like analysts to write scripts in Python/R by answering their coding questions.
Availability
CodeGeeX is available as a free open source tool on GitHub. Browser extensions are available for VS Code, IntelliJ IDEA, PyCharm etc.
It also offers paid Pro and Enterprise plans with additional capabilities like private deployment, model fine-tuning, enterprise support etc.