GitLab’s AI-Assisted Code Suggestions
GitLab’s Code Suggestions is an innovative feature that uses AI to assist developers in writing code more efficiently. The feature predicts and completes blocks of code in context, enabling developers to define and generate logic for function declarations, generate tests, and suggest common code patterns like regex expressions. The service is designed to ensure the privacy and security of private, non-public customer source code, with no use of such code for training AI models.
The GitLab Duo Code Suggestions supports 14 different languages, including C++, Java, Python, and more, catering to a diverse range of developers. The feature seamlessly integrates with your preferred IDE, including GitLab Web IDE, VS Code, and others. It’s specially designed for both cloud and self-managed instances, empowering teams to build software faster and more efficiently while ensuring their proprietary code stays secure.
How GitLab’s Code Suggestions Help Developers
GitLab’s Code Suggestions offer intelligent coding assistance that helps developers write code with greater speed and accuracy. This feature frees up developers from the mundane task of writing repetitive code, enabling them to focus on more complex coding challenges. With the help of AI, GitLab Code Suggestions can predict and complete blocks of code in context, allowing developers to generate logic for function declarations and suggest common code patterns.
The Code Suggestions feature also helps developers save time by generating tests, which are essential for ensuring the quality of software. By automating the process of generating tests, developers can save time and focus on other critical tasks. Additionally, the feature supports 14 different languages, allowing developers to use their preferred programming language.
