Yuma CodeRider – AI Programming and Software Intelligent R&D Assistant launched by Jihu GitLab | AI Tool Set

What is Yuma CodeRider

Yuma CodeRider is launched by Jihu GitLabAI Programming and Software Intelligent R&D Assistantdesigned specifically to improve programmers’ coding efficiency and R&D effectiveness. This AI programming tool is based on AIGC technology and provides powerful functions such as code completion, generation, interpretation, unit test generation, and intelligent question and answer. It supports PC native side deployment, allowing users to use it offline, and at the same time provides privatized deployment options to ensure enterprise data security. Yuma CodeRider is deeply integrated with GitLab, supports intelligent DevOps workflow, helps handle issues, merge requests, and combines them with CI/CD processes to achieve end-to-end AI empowerment. In addition, it covers nearly 100 programming languages, supports mainstream IDE integration, and is the preferred choice for enterprise-level AI DevOps solutions.

The main functions of Yuma CodeRider

• Intelligent programming assistance: CodeRider uses advanced AI algorithms to generate high-quality code snippets based on users’ actual R&D needs. This function can greatly reduce encoding time, improve encoding efficiency, and ensure code quality.
• Code Completion: During the process of user writing code, CodeRider can intelligently provide completion suggestions based on the context of the current code, reduce the workload of manual coding, and speed up development speed.
• Code explanation: CodeRider can recognize multiple programming languages ​​and provide detailed explanations of code segments to help developers understand complex code logic and improve the readability and maintainability of code.
• Code Comments: CodeRider automatically generates code comments to help developers quickly understand the functions and purposes of the code. Especially in team collaboration, comments can greatly improve the transparency of the code.
• Code modification: CodeRider can automatically modify code according to user instructions or needs, reducing the cumbersomeness of manual modification and improving the efficiency and accuracy of code modification.
• Unit Testing: CodeRider can generate unit test code for selected code segments, helping developers quickly verify the function and performance of the code and ensure code quality.
• Code optimization: CodeRider provides code optimization suggestions to help developers improve code structure and improve code readability, maintainability and security.
• Smart Q&A: CodeRider supports natural language processing technology, can understand and answer technical-related questions, and even generate code examples. It supports multiple rounds of conversations to improve the efficiency of problem solving.
• GitLab Documentation Q&A: CodeRider integrates GitLab document Q&A function, and users can get help and best practices on the use of the GitLab platform by asking questions.
• IDE integration: CodeRider supports integration with mainstream integrated development environments (IDEs) such as Visual Studio Code, allowing developers to directly use CodeRider’s functions in familiar development environments.
• Covering multiple programming languages: CodeRider supports nearly 100 programming languages. Whether it is popular Java, Python, JavaScript, or specific domain languages, it can be supported by CodeRider to meet the needs of different developers.
• Server privatization deployment: Enterprises can choose to deploy CodeRider on private servers, which can better control data access rights, protect the company’s core data from being leaked, and enhance data security.
• End-side deployment (AI PC): Users can install CodeRider on their local computers to realize intelligent research and development on the end. This deployment method supports offline work and can be used even without a network connection, increasing R&D flexibility.
• Enterprise code document security: CodeRider provides strict security measures to ensure that internal code and documents are not accessed or leaked by unauthorized access and protection of the enterprise’s intellectual property rights and trade secrets.

How to use Yuma CodeRider

For Visual Studio Code users:

1. Open Visual Studio Code: Make sure you have the Visual Studio Code editor installed.
2. Access extensions: Click the “Expand” icon in the left navigation bar.
3. Search for plugins: Enter “Yuma CodeRider” in the search box.
4. Install plug-ins: After finding the plug-in, click “Install”.
5. Log in to your account: After the plug-in is installed, you need to log in to the GitLab account of Jihu.
6. Download dependencies: After logging in, manually download the dependencies. Click the pop-up window in the lower right corner of the page to download the end-side components and models, including the end-side components, completion models and dialogue models. Note that because the model file is large, you need to wait for a while, the download progress will be displayed in the lower right corner.

Visual Studio Code version plugin:https://marketplace.visualstudio.com/items?itemName=Jihu-GitLab.coderider

For JetBrains IDEs users (taking IntelliJ IDEA as an example):

1. Open IntelliJ IDEA: Make sure you have IntelliJ IDEA or other JetBrains IDE installed.
2. Visit the plugin market: Click “Plugins” in the left navigation bar.
3. Search for plugins: Enter “CodeRider” in the search box of the plug-in market.
4. Install plug-ins: After finding CodeRider, click “Install”.
5. Restart IDE: After the installation is completed, restart IntelliJ IDE.
6. Log in to your account: After the restart is successful, log in to the GitLab account of Jihu.
7. Download dependencies: After logging in, you also need to manually download the end-side components and models, and the steps are the same as those of Visual Studio Code users.

JetBrains version plugin address:https://plugins.jetbrains.com/plugin/24510-coderide-

Product price of Yuma CodeRider

• CodeRider Team Yuma Team Edition: Team-oriented version, the price per person per year is RMB 499. This version provides a series of special features, including DevOps intelligent assistance, GitLab document library, PC native computing power model and private deployment. In addition, it also includes auxiliary functions such as auxiliary programming, code completion, technical Q&A, code generation, code annotation, code interpretation, unit testing, code modification, code optimization and knowledge Q&A to help team members improve development efficiency.
• CodeRider Enterprise Yuma Enterprise Edition: A more advanced enterprise-level version, the price per person per year is RMB 899. In addition to including all the functions of the Team Edition, the Enterprise Edition also adds advanced functions such as enterprise management, data board, permission management, and enterprise model configurability.
• CodeRider Hybrid Code Hybrid Computing Power Version: A hybrid computing power version combining AI PC-side reasoning and server-side big models. For specific prices, please contact GitLab for detailed information. It includes special functions such as DevOps intelligent assistance, GitLab document library, hybrid computing power model, privatized deployment, and enterprise knowledge base, and also includes a series of auxiliary functions such as auxiliary programming, code completion, and technical Q&A. Like the Enterprise Edition, the Hybrid Computing Power Edition also provides advanced features such as enterprise management, data boards, permission management, and enterprise model configurability.

For more product price information, please checkYuma CodeRider’s product pricing page。

Applicable people of Yuma CodeRider

• Software Developer: Whether it is a junior developer or a senior programmer, CodeRider can help them improve coding efficiency and code quality by providing functions such as code completion, code interpretation, and code optimization.
• R&D team: In team collaboration, CodeRider’s AI DevSecOps function can help team members perform development, security inspection and operation and maintenance more efficiently, improving the overall R&D efficiency of the team.
• Enterprise IT Department: For enterprise IT departments, CodeRider’s server privatization deployment and enterprise code document security functions can ensure enterprise data security while improving the automation level of R&D processes.
• Freelancer: When freelancers are working on software development projects, CodeRider can serve as a powerful assistant, providing a range of support from coding to testing, helping them complete project development independently.
• Technology enthusiasts and beginners: For programming enthusiasts and beginners, CodeRider’s smart Q&A and code explanation capabilities can help them learn and understand programming knowledge faster.