
Products
FittenCode is an AI based on Jittor, a homegrown deep learning framework.Programming AssistantIt is developed by Non-Ten Technology, whose core team consists of PhDs from Tsinghua University.
FittenCode is designed to provide an efficient and intelligent programming experience that combines deep learning techniques and big models of code to automatically generate, interpret, and optimize code, as well as find and fix bugs.The product not only supports a wide range of programming languages, but is also compatible with a variety of integrated development environments (IDEs), such as Visual Studio Code and the JetBrains family of products, allowing developers to use it seamlessly in familiar environments. The product not only supports multiple programming languages, but is also compatible with a variety of IDEs, such as Visual Studio Code and the JetBrains family of products, allowing developers to seamlessly use it in a familiar environment.
Key Features
- code generation: Automatically generate code based on annotations or descriptions, support multiple programming languages, such as Python, C++, Javascript, Typescript, Java, etc..
- code interpretation: Interpretation code function to help developers understand the code logic.
- Bug Finding and Optimization: Intelligently detects and fixes syntax and logic errors to optimize code performance.
- code completion: Provide line-level or function-level code auto-completion to improve programming efficiency.
- chat: Allows developers to quickly access programming advice and solutions in an interactive way.
- Generate Tests: Automatically generate test cases to help developers verify the correctness of their code.
- Generating comments: Automatically generate code comments to improve code readability.
Usage Scenarios
- individual developer: For individual developers, FittenCode can be used as a powerful programming assistant to help them quickly generate and optimize code and improve development efficiency.
- Corporate R&D Team: Enterprise R&D teams can make use of FittenCode's code generation, optimization and bug-finding functions to improve overall R&D efficiency and shorten project cycle. Meanwhile, localized deployment and multiple data encryption technologies ensure the security of internal corporate information.
- educational organization: Educational institutions can use FittenCode as a programming teaching tool to help students better understand code logic and improve programming skills.
Operating Instructions
-
mounting: Search for "FittenCode" in the IDE's Plugin Marketplace and install it. For example, in the JetBrains family of products, you can search for and install FittenCode in the IDE's plugin marketplace by going to "File" > "Settings" > "Plugins" > "Marketplace" to search and install.
-
activate (a plan): Open the IDE and create a new project or open an existing one, making sure that the FittenCode plugin has been activated.
-
utilization::
- code generation: Use FittenCode's Generate function based on comments or descriptions where you need to generate code.
- code interpretation: Select the code segment to be interpreted and use FittenCode's Interpretation feature to view the code logic.
- Bug Finding and Optimization: After running the code, FittenCode automatically detects and suggests potential bugs and optimization suggestions.
- code completion: When writing code, FittenCode will automatically provide complementary suggestions, just choose the appropriate one.
- chat: Interact with the AI assistant for programming advice and solutions through FittenCode's chat feature.
-
View and Modify: The generated code will be returned as a string that can be viewed directly, modified if necessary to fit specific needs, and then inserted into the source.
-
(of a computer) run: Save and run the generated code to verify its correctness and performance.
data statistics
Relevant Navigation

A programming efficiency tool for R&D teams that improves team collaboration and R&D efficiency through code knowledge mapping, multi-model collaboration and R&D progress visualization.

AI Suda
Baidu Intelligent Cloud launched an enterprise-grade low-code platform with visual development and AI assistance as the core to help enterprises efficiently build flexible applications and accelerate digital transformation.

Codeium
A free AI programming assistant that supports 70+ languages and provides code completion, AI chat, and code search to improve development efficiency.

AskCodi
The programming assistant with integrated AI technology supports code generation, smart suggestions, troubleshooting and other features designed to improve developers' coding efficiency and experience.

GitHub Copilot
GitHub and OpenAI have jointly launched an AI programming assistant that provides real-time code completion, suggestions and optimization based on context, aiming to improve developers' programming efficiency and code quality.

Cursor
Intelligent programming assistant that provides code completion, error detection, optimization suggestions and document generation through AI technology to help programmers improve development efficiency and code quality.

Sky-code
An open-source programming large model developed by Singularity Smart Source, a subsidiary of Kunlun World Wide, which supports many mainstream programming languages and understands Chinese comments, with powerful code completion and problem solving capabilities, designed to enhance the programming efficiency of developers.

Claude Code Security
Anthropic launched the AI native code security analysis tool, real-time detection of vulnerabilities, automatic generation of repair patches, and deep integration with GitHub and other platforms to realize the development of the whole process of security protection.
No comments...
