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Product Overview: GitLab Code Suggestions
GitLab Code Suggestions is a cutting-edge feature integrated into the GitLab platform, designed to enhance the coding experience by leveraging generative AI. Here’s a detailed overview of what the product does and its key features.
What it Does
GitLab Code Suggestions uses AI to provide real-time code suggestions as developers write their code. This feature aims to boost efficiency and productivity by offering relevant and context-specific code completions and snippets. It is part of GitLab’s broader initiative to infuse AI and machine learning (AI/ML) into their DevSecOps platform to streamline various aspects of software development.
Key Features and Functionality
AI-Driven Code Completion
- Code Suggestions utilizes advanced AI models, including Fireworks AI-hosted Qwen2.5, Google Vertex AI Codey, and Anthropic Claude 3.5 Sonnet, to generate code snippets and complete lines as you type.
Multi-Language Support
- The feature supports a wide range of programming languages, including C/C , C#, Go, Java, JavaScript, Python, PHP, Ruby, Rust, Scala, Kotlin, and TypeScript.
Integration with IDEs
- Code Suggestions is currently available in Visual Studio Code (VS Code) via the GitLab Workflow extension. Support for the GitLab WebIDE and other IDEs like JetBrains IntelliJ-based IDEs and Visual Studio is also being developed.
Real-Time Suggestions
- As developers type their code, the AI model provides suggestions in real-time. These suggestions can be accepted, partially accepted, or rejected using keyboard shortcuts (e.g., `Tab` to accept, `Control` `Right arrow` or `Command` `Right arrow` to accept partially, and `Esc` to reject).
Multiple Suggestion Options
- Users can view multiple suggestion options by hovering over the code completion suggestion and using keyboard shortcuts to navigate through the alternatives.
Privacy and Security
- The feature is built with a strong focus on privacy and security. Proprietary source code remains secure within GitLab’s enterprise cloud infrastructure and is not used as training data for the AI models.
Self-Managed Support
- Code Suggestions is available not only on GitLab.com but also on self-managed GitLab instances, ensuring that organizations with unique requirements can benefit from this feature while maintaining their security and privacy standards.
Continuous Improvement
- GitLab continuously improves the quality of the AI model, with weekly updates to enhance the suggestions. Feedback from users is also encouraged to further refine the feature.
Availability and Pricing
- Code Suggestions is available for Premium and Ultimate subscription tiers, including those with GitLab Duo Pro. It was initially available for free during the beta phase but now requires a specific subscription or add-on.
In summary, GitLab Code Suggestions is a powerful tool that leverages AI to make coding more efficient and effective. With its robust features, multi-language support, and strong focus on privacy and security, it is an invaluable addition to the GitLab ecosystem.
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