CodeRider

Products

驭码CodeRider是GitLab推出的基于人工智能（AI）和生成式内容技术（AIGC）的新一代软件生产工具，旨在通过智能化手段全面提升软件研发的效率与质量。该产品于2024年5月28日在极狐GitLab AI产品发布会上正式发布，与极狐GitLab深度融合，为开发者提供AI辅助编程和DevOps流程支持。

Key Features

1. Intelligent Code Assist::

   • code completion: Automatically generate code-completion suggestions based on the syntax and the context of the corresponding code.
   • code generation: The ability to generate complete code snippets speeds up the writing process and reduces the possibility of input errors.
   • code interpretation: Automatically recognizes code language types and provides explanations for the code to help developers better understand the code logic.
   • code comment: Generate interlinear comments on selected code to improve code readability and maintainability.
   • code modification: Modification of the selected code is accomplished according to the code modification instructions entered.
   • code optimization: Analyze code structure and provide improvement suggestions to help developers optimize code performance.

2. Intelligent R&D Q&A: Support multi-round dialog technical Q&A, based on the GitLab technical documentation for users to answer questions and solve problems.

3. Intelligent DevOps AssistGitLab: Combined with GitLab's Workflow functionality, GitLab provides an immersive CI/CD intelligent assisted process that improves the efficiency and stability of software delivery. Including Issue processing and Merge Request acceleration.

Usage Scenarios

1. Code writing and editing: In the daily code writing process, CodeRider can provide real-time code completion, generation and interpretation functions to help developers quickly write high-quality code. Whether it is front-end, back-end, mobile applications or other types of software development, CodeRider can provide effective support.
2. Teamwork and Project ManagementCodeRider accelerates the processing of Issues and Merge Requests in a collaborative team environment. Through AI technology, it can automatically analyze the content of issues and provide developers with relevant code snippets or solutions to speed up problem solving. At the same time, it can also assist in code review and improve code quality.
3. Continuous Integration and Continuous Deployment (CI/CD): In the CI/CD process, Harness Code CodeRider provides immersive and intelligent assistance. It can automatically trigger the build and test processes based on code changes and provide real-time feedback. In addition, it can automatically adjust the deployment strategy based on the test results to ensure that the software can be stably and rapidly deployed to the production environment.
4. Technical Documentation and Knowledge ManagementHarness CodeRider's intelligent R&D Q&A feature can be combined with GitLab's technical documentation to provide developers with rapid technical support. When a developer encounters a problem, he or she can get an answer through multiple rounds of dialog with CodeRider. This not only improves the efficiency of problem solving, but also helps to precipitate knowledge into the organization's knowledge base.

Operating Instructions

1. mounting: Harness Code CodeRider currently supports Visual Studio Code (version 1.85 and above), JetBrains IDEs (2024.1.Series and above) and Android Studio (2024.1.(Series and above). Users can search for "CodeRider" in the corresponding IDE plugin market and install it. After installation, you need to restart your IDE to enable the plugin.
2. log in: After installation, users need to log in to their Extreme Fox GitLab account in order to use the full functionality of Harness CodeRider. Login methods include OAuth and Personal Access Token (PAT). Users can choose the appropriate way to log in according to their needs.
3. utilization: After opening the Harness CodeRider plug-in in the IDE, users can see a variety of intelligent auxiliary functions. For example, when writing code, CodeRider will automatically provide code completion suggestions; after selecting the code, users can use the code interpretation and annotation functions to better understand the code; in addition, you can also use code generation, optimization and other functions to improve development efficiency. In a team collaboration environment, users can also utilize CodeRider's issue and merge request handling features to speed up the project management process.