CodeRider

What is CodeRider?

CodeRider is an AI programming and software intelligent R&D assistant launched by GitLab. It is specifically designed to enhance programmers’ coding efficiency and R&D effectiveness. Leveraging AIGC technology, this AI programming tool offers powerful features such as code completion, generation, explanation, unit test generation, and intelligent Q&A. It supports native deployment on PCs, allowing users to work offline, and provides private deployment options to ensure enterprise data security.

CodeRider is deeply integrated with GitLab, supporting intelligent DevOps workflows to assist in handling issues, merge requests, and integrating with CI/CD pipelines, enabling end-to-end AI empowerment. Additionally, it covers nearly a hundred programming languages and supports integration with mainstream IDEs, making it the preferred enterprise-level AI DevOps solution.

The main functions of CodeRider

• Intelligent Programming Assistance: Leveraging advanced AI algorithms, CodeRider generates high-quality code snippets based on users’ actual R & D needs. This feature can significantly reduce coding time, improve coding efficiency, and ensure code quality.
• Code Completion: While users are writing code, CodeRider can intelligently provide completion suggestions based on the context of the current code, reducing the workload of manual coding and accelerating the development speed.
• Code Explanation: Capable of recognizing multiple programming languages, CodeRider provides detailed explanations of code segments, helping developers understand complex code logic and improving the readability and maintainability of the code.
• Code Commenting: CodeRider automatically generates code comments, helping developers quickly understand the functionality and purpose of the code. Especially in team collaboration, comments can greatly enhance the transparency of the code.
• Code Modification: According to users’ instructions or requirements, CodeRider can automatically modify the code, reducing the cumbersome process 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 functionality and performance of the code and ensuring code quality.
• Code Optimization: CodeRider provides code optimization suggestions to help developers improve the code structure and enhance the readability, maintainability, and security of the code.
• Intelligent Q&A: Supporting natural language processing technology, CodeRider can understand and answer technical questions, and even generate code examples. It supports multi-round conversations, improving the efficiency of problem-solving.
• GitLab Documentation Q&A: CodeRider integrates the GitLab documentation Q&A feature. Users can obtain help and best practices for using the GitLab platform by asking questions.
• IDE Integration: CodeRider supports integration with mainstream integrated development environments (IDEs) such as Visual Studio Code, enabling developers to directly use CodeRider’s features in their familiar development environments.
• Support for Multiple Programming Languages: CodeRider supports nearly a hundred programming languages. Whether it’s popular languages like Java, Python, and JavaScript, or specific domain languages, CodeRider can provide support to meet the needs of different developers.
• Private Server Deployment: Enterprises can choose to deploy CodeRider on private servers, giving them better control over data access permissions, protecting core corporate data from leakage, and enhancing data security.
• Edge Deployment (AI PC): Users can install CodeRider on their local computers to achieve edge intelligent development. This deployment method supports offline work, allowing it to be used even without a network connection, increasing the flexibility of R & D.
• Security of Enterprise Code and Documentation: CodeRider provides strict security measures to ensure that an enterprise’s internal code and documentation are not unauthorizedly accessed or leaked, safeguarding the enterprise’s intellectual property and trade secrets.

How to Use  CodeRider

For Visual Studio Code users:

1. Open Visual Studio Code: Make sure you have installed the Visual Studio Code editor.
2. Access Extensions: Click on the “Extensions” icon in the left sidebar.
3. Search for Plugins: Enter “CodeRider” in the search box.
4. Install the Plugin: After finding the plugin, click “Install”.
5. Log in to Your Account: After the plugin is installed, you need to log in to your JHUGitLab account.
6. Download Dependencies: After logging in, manually download the dependencies. Click the pop-up window at the bottom right corner to download the edge-side components and models, including edge-side components, completion models, and dialogue models. Note that because the model files are large, you need to wait for a while, and the download progress will be displayed at the bottom right corner.

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

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

The product price of Yuma CodeRider

• CodeRider Team: A team-oriented version priced at CNY 499 per person per year. This version offers a range of distinctive features, including DevOps intelligent assistance, GitLab documentation library, native PC computing power model, and private deployment. Additionally, it encompasses auxiliary programming, code completion, technical Q&A, code generation, code commenting, code explanation, unit testing, code modification, code optimization, and knowledge Q&A functions to help team members enhance their development efficiency.
• CodeRider Enterprise: A more advanced enterprise-level version priced at CNY 899 per person per year. In addition to all the features of the Team version, the Enterprise version also includes advanced features such as enterprise management, data dashboards, permission management, and configurable enterprise models.
• CodeRider Hybrid: A hybrid computing power version that combines AI PC-side inference with server-side large models. Specific pricing details are available by contacting GitLab. It features DevOps intelligent assistance, GitLab documentation library, hybrid computing power model, private deployment, and enterprise knowledge library, along with auxiliary programming, code completion, technical Q&A, and other functions. Like the Enterprise version, the Hybrid version also provides advanced features such as enterprise management, data dashboards, permission management, and configurable enterprise models.

The applicable users of CodeRider

• Software Developers: Whether they are novice developers or seasoned programmers, CodeRider can help them improve coding efficiency and code quality by providing features such as code completion, code explanation, and code optimization.
• R & D Teams: In team collaboration, CodeRider’s AI DevSecOps feature can assist team members in conducting development, security checks, and operation and maintenance work more efficiently, thereby enhancing the overall R & D efficiency of the team.
• Enterprise IT Departments: For enterprise IT departments, CodeRider’s private server deployment and enterprise code documentation security features can safeguard corporate data security while improving the automation level of the R & D process.
• Freelancers: When freelancers are engaged in software development projects, CodeRider can serve as a powerful assistant, providing a full range of support from coding to testing to help them independently complete project development.
• Technology Enthusiasts and Beginners: For programming enthusiasts and beginners, CodeRider’s intelligent Q&A and code explanation features can help them learn and understand programming knowledge more quickly.