CodeFuse

CodeFuse is an intelligent R&D service product built for domestic developers. It is based on Ant Group's self-developed basic big model and builds a code big model through fine-tuning technology.CodeFuse has excellent code completion, comment addition, code interpretation, single test generation and code optimization functions, aiming to help developers write high-quality code more quickly and easily.
Product Terminology

Code model: CodeFuse currently uses a code model with 10 billion parameters, with powerful code completion, annotation, code interpretation, single test generation and code optimization capabilities.
Token: In the field of information processing, Token is usually used as the basic unit of model input and output.The input and output length of CodeFuse is limited by the number of Token. Specifically, the maximum input of the model is not more than 1280 Token (about 640 Chinese characters or 1280 English words), and the maximum output is not more than 768 Token (about 384 Chinese characters or 768 English words). Please note that the total number of Token inputs and outputs of the model cannot exceed 2048. The conversion of Token to Chinese and English characters is for reference only, and the actual number may vary. The maximum number of Token supported by the model may increase as the product is iterated and upgraded.

Functional characteristics
CodeFuse provides rich IDE plug-in support and is currently compatible with 11 popular IDEs, including Alipay Small Program Cloud R&D, Visual Studio Code, Android Studio, and 8 IDEs from the JetBrains family (IntelliJ IDEA, PyCharm, WebStorm, GoLand, CLion, DataGrip, PhpStorm and RubyMine). In addition, CodeFuse supports more than 40 programming languages, with particularly good code generation quality on Java and Python. Specific features are listed below:

Code Completion: Provide real-time code completion services based on massive data, including in-line completion (single-line completion) and fragment completion (multi-line completion).
Add comments: Intelligently generates comments for selected code, especially excellent at generating comments at the whole function level.
Explain Code: Intelligently parses code intent and generates explanations for selected code to help developers better understand and read the code.
Generate Single Tests: After writing business logic, intelligently generate test cases with business semantics for selected code to improve the efficiency of problem discovery.
Code Optimization: Using the code comprehension ability of big models and static source code analysis techniques, selected code fragments are analyzed and optimization suggestions are made, and even code patches can be generated directly.

Instructions for use

Although CodeFuse can significantly improve development efficiency, please be aware that as an automation tool based on deep learning models, its generated code may have certain inaccuracies. Therefore, when using CodeFuse, please be sure to carefully check the generated code and judge its applicability based on actual needs.