CodeRider – AI programming and software intelligent development assistant launched by Jihu GitLab | AI tool set

What is CodeRider?

CodeRider is launched by Jihu GitLabAI programming and software intelligent R&D assistantspecially designed to improve programmers’ coding efficiency and R&D efficiency. 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 native PC side deployment, allows users to use it offline, and provides privatized deployment options to ensure Enterprise data security. CodeRider is deeply integrated with GitLab to support intelligent DevOps workflow, help handle issues and merge requests, and integrate with the CI/CD process to achieve end-to-end AI empowerment. In addition, it covers nearly a hundred programming languages ​​and supports mainstream IDE integration, making it the first choice for enterprise-level AI DevOps solutions.

Main functions of CodeRider

• Intelligent programming assistance: CodeRider uses advanced AI algorithms to generate high-quality code snippets based on users’ actual research and development needs. This function can significantly reduce coding time, improve coding efficiency, and ensure code quality.
• code completion: During the process of users writing code, CodeRider can intelligently provide completion suggestions based on the context of the current code, reducing the workload of manual coding and speeding up development.
• Code explanation: CodeRider can recognize multiple programming languages ​​and provide detailed explanations of code segments to help developers understand complex code logic and improve code readability and maintainability.
• Code comments: CodeRider automatically generates code comments to help developers quickly understand the function and purpose of the code. Especially in team collaboration, comments can greatly improve the transparency of the code.
• Code modification: CodeRider can automatically modify the code according to the user’s instructions or needs, reducing the tediousness 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.
• Intelligent Q&A: CodeRider supports natural language processing technology, can understand and answer technical-related questions, and even generate code samples, supports multiple rounds of dialogue, and improves the efficiency of problem solving.
• GitLab documentation Q&A: CodeRider integrates the GitLab document question and answer function, and users can ask questions to obtain help and best practices for using the GitLab platform.
• IDE integration: CodeRider supports integration with mainstream integrated development environments (IDEs) such as Visual Studio Code, allowing developers to directly use CodeRider functions in a familiar development environment.
• Covers multiple programming languages: CodeRider supports nearly a hundred 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 private deployment: Enterprises can choose to deploy CodeRider on a private server, which can better control data access permissions, protect the enterprise’s core data from being leaked, and enhance data security.
• Device-side deployment (AI PC): Users can install CodeRider on their local computer to realize end-side intelligent research and development. This deployment method supports offline work and can be used even without a network connection, increasing the flexibility of research and development.
• Enterprise code document security: CodeRider provides strict security measures to ensure that the company’s internal codes and documents will not be accessed or leaked without authorization, protecting the company’s intellectual property rights and trade secrets.

How to use CodeRider

For Visual Studio Code users:

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

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

For users of JetBrains IDEs (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 plugin: Enter “CodeRider” in the search box of the plug-in market.
4. Install plugin: Click “Install” after finding CodeRider.
5. Restart IDE: After the installation is complete, restart IntelliJ IDE.
6. Login account: After the restart is successful, log in to the Jihu GitLab account.
7. Download dependencies: After logging in, you also need to manually download the client components and models. The steps are the same as those for Visual Studio Code users.

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

Product price of CodeRider

• CodeRider Team Yuma Team Edition: The team-oriented version is priced at RMB 499 per person per year. This version provides a series of special features, including DevOps intelligent assistance, GitLab document library, PC native computing 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 explanation, unit testing, code modification, code optimization, and knowledge Q&A to help team members improve development efficiency.
• CodeRider Enterprise Yuma Enterprise Edition: The more advanced enterprise-level version is priced at RMB 899 per person per year. In addition to including all the functions of the team version, the enterprise version also adds advanced functions such as enterprise management, data dashboard, permission management, and enterprise model configurability.
• CodeRider Hybrid Yuma hybrid computing version: A hybrid computing version that combines AI PC-side inference and server-side large models. For specific prices, please contact Jihu GitLab for detailed information. It includes features such as DevOps intelligent assistance, GitLab document library, hybrid computing 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 version, the hybrid computing version also provides advanced functions such as enterprise management, data dashboard, permission management, and enterprise model configurability.

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

Applicable groups of CodeRider

• software developer: Whether they are junior developers or senior programmers, CodeRider can help them improve coding efficiency and code quality by providing code completion, code explanation, code optimization and other functions.
• R&D team: In team collaboration, CodeRider’s AI DevSecOps function can help team members carry out development, security inspection, and operation and maintenance work more efficiently, improving the team’s overall R&D efficiency.
• Enterprise IT department: For corporate IT departments, CodeRider’s server privatization deployment and corporate code document security functions can ensure corporate data security while improving the automation level of the R&D process.
• freelancer: When freelancers are working on software development projects, CodeRider can serve as a powerful assistant, providing a series of support from coding to testing, helping them complete project development independently.
• Tech enthusiasts and beginners: For programming enthusiasts and beginners, CodeRider’s intelligent question and answer and code explanation functions can help them learn and understand programming knowledge faster.