Code Suggestions (FREE ALL)
- Introduced support for Google Vertex AI Codey APIs in GitLab 16.1.
- Removed support for GitLab native model in GitLab 16.2.
- Introduced support for Code Generation in GitLab 16.3.
- Generally available in GitLab 16.7.
Write code more efficiently by using generative AI to suggest code while you're developing.
With GitLab Duo Code Suggestions, you get:
- Code Completion, which suggests completions to the current line you are typing. These suggestions are usually low latency.
- Code Generation, which generates code based on a natural language code
comment block. Write a comment like
# Type more here
to generate the appropriate code, based on the context of your comment and the rest of your code.- Algorithms or large code blocks may take more than 10 seconds to generate.
- Streaming of code generation responses is supported in VS Code, leading to faster average response times. Other supported IDEs offer slower response times and will return the generated code in a single block.
Start using Code Suggestions
GitLab Duo Code Suggestions are available:
- In the Premium and Ultimate tier for self-managed, and across all tiers for SaaS. View these pages to get started.
- In VS Code, Microsoft Visual Studio, JetBrains IDEs, and Neovim. You must have the corresponding GitLab extension installed.
- In the GitLab Web IDE.
Code Suggestions is available and free to use until February 15, 2024:
- Before February 15, 2024, usage of Code Suggestions is governed by the GitLab Testing Agreement.
- On February 15, 2024, Code Suggestions becomes a paid add-on and will be governed by our AI Functionality Terms.
Supported languages
Code Suggestions support is a function of the:
- Underlying large language model.
- IDE used.
- Extension or plug-in support in the IDE.
For languages not listed in the following table, Code Suggestions might not function as expected.
Supported languages in IDEs
Code Suggestions is aware of common popular programming concepts and infrastructure-as-code interfaces, like Kubernetes Resource Model (KRM), Google Cloud CLI, and Terraform.
The editor supports these languages:
Language | VS Code | JetBrains IDEs | Visual Studio | Neovim |
---|---|---|---|---|
C++ | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
C# | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Go | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Google SQL | {dotted-circle} No | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Java | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
JavaScript | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Kotlin | {check-circle} Yes (Requires third-party extension providing Kotlin support) | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
PHP | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Python | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Ruby | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Rust | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Scala | {check-circle} Yes (Requires third-party extension providing Scala support) | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Swift | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
TypeScript | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes | {check-circle} Yes |
Terraform | {check-circle} Yes (Requires third-party extension providing Terraform support) | {check-circle} Yes | {dotted-circle} No |
{check-circle} Yes (Requires third-party extension providing the terraform file type) |
NOTE: Some languages are not supported in all JetBrains IDEs, or may require additional plugin support. Refer to the JetBrains documentation for specifics on your IDE.
Supported editor extensions
Code Suggestions supports a variety of popular editors including:
- VS Code, using the VS Code GitLab Workflow extension. Supports streaming responses for code generation.
- GitLab WebIDE (VS Code in the Cloud), with no additional configuration.
- Microsoft Visual Studio, using the Visual Studio GitLab extension.
- JetBrains IDEs, using the GitLab plugin.
- Neovim, using the
gitlab.vim
plugin.
A GitLab Language Server is used in VS Code, Visual Studio, and Neovim. The Language Server supports faster iteration across more platforms. Users can also configure it to support Code Suggestions in IDEs where GitLab doesn't provide official support.
Code Suggestions data usage
Code Suggestions is powered by a generative AI model.
Your personal access token enables a secure API connection to GitLab.com or to your GitLab instance. This API connection securely transmits a context window from your IDE/editor to the GitLab AI Gateway, a GitLab hosted service. The gateway calls the large language model APIs, and then the generated suggestion is transmitted back to your IDE/editor.
GitLab selects the best-in-class large-language models for specific tasks. We use Google Vertex AI Code Models and Anthropic Claude for Code Suggestions.
Telemetry
For self-managed instances that have enabled Code Suggestions and SaaS accounts, we collect aggregated or de-identified first-party usage data through our Snowplow collector. This usage data includes the following metrics:
- Language the code suggestion was in (for example, Python)
- Editor being used (for example, VS Code)
- Number of suggestions shown, accepted, rejected, or that had errors
- Duration of time that a suggestion was shown
- Prompt and suffix lengths
- Model used
- Number of unique users
- Number of unique instances
Inference window context
Code Suggestions inferences against the currently opened file, the content before and after the cursor, the file name, and the extension type. For more information on possible future context expansion to improve the quality of suggestions, see epic 11669.
Training data
GitLab does not train generative AI models based on private (non-public) data. The vendors we work with also do not train models based on private data.
For more information on GitLab Code Suggestions data sub-processors, see:
- Google Vertex AI Codey APIs data governance and responsible AI.
- Anthropic Claude's constitution.
Known limitations
We are continuing to work on the accuracy of overall generated content. However, Code Suggestions may generate suggestions that are:
- Irrelevant.
- Incomplete.
- Results in failed pipelines.
- Potentially insecure.
- Offensive or insensitive.
When using Code Suggestions, code review best practice still applies.
Let us know if you have feedback.
Progressive enhancement
This feature is designed as a progressive enhancement to developer's IDEs. Code Suggestions offer a completion if a suitable recommendation is provided to the user in a timely matter. In the event of a connection issue or model inference failure, the feature gracefully degrades. Code Suggestions do not prevent you from writing code in your IDE.
Feedback
Let us know about your Code Suggestions experience in issue 435783.
Troubleshooting
Disable Code Suggestions
Individual users can disable Code Suggestions by disabling the feature in their installed IDE editor extension.