Code Suggestions
DETAILS: Tier: Premium with GitLab Duo Pro or Ultimate with GitLab Duo Pro or Enterprise Offering: GitLab.com, Self-managed, GitLab Dedicated
- 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.
- Subscription changed to require GitLab Duo Pro on February 15, 2024.
NOTE: GitLab Duo Code Suggestions requires GitLab 16.8 and later. Earlier GitLab versions are not supported.
Write code more efficiently by using generative AI to suggest code while you're developing.
With GitLab Duo Code Suggestions, you get code completion and code generation.
Code completion
Code completion suggests completions to the line you are typing. Code completion is used in most situations to quickly complete one or a few lines of code.
Code generation
Code generation generates code based on a natural language code
comment block. Write a comment like # check if code suggestions are enabled for current user
, then press Enter to generate code based
on the context of your comment and the rest of your code.
Code generation is used when:
- You write a comment and press Enter.
- You enter an empty function or method.
- The file you're editing has fewer than five lines of code.
Code generation requests take longer than code completion requests, but provide more accurate responses because:
- A larger LLM is used.
- Additional context is sent in the request, for example, the libraries used by the project.
- Your instructions are passed to the LLM.
Use Code Suggestions
Prerequisites:
- You must have one of the supported IDE extensions.
- Your organization must have purchased the GitLab Duo Pro add-on and assigned you a seat.
- For self-managed GitLab, you must have GitLab 16.8 or later, and have configured proxy settings.
To use Code Suggestions:
-
Author your code. As you type, suggestions are displayed. Code Suggestions provide code snippets or complete the current line, depending on the cursor position.
-
Describe the requirements in natural language. Code Suggestions generates functions and code snippets based on the context provided.
-
To accept a suggestion, press Tab. To reject a suggestion, press Esc.
-
To ignore a suggestion, keep typing as you usually would.
AI is non-deterministic, so you may not get the same suggestion every time with the same input. To generate quality code, write clear, descriptive, specific tasks.
Best practices
To get the best results from code generation:
- Be as specific as possible while remaining concise.
- State the outcome you want to generate (for example, a function) and provide details on what you want to achieve.
- Add additional information, like the framework or library you want to use.
- Add a space or new line after each comment. This space tells the code generator that you have completed your instructions.
- In GitLab 17.2 and later, when the
advanced_context_resolver
andcode_suggestions_context
feature flags are enabled, open related files in other tabs to expand the inference window context.
For example, to create a Python web service with some specific requirements, you might write something like:
# Create a web service using Tornado that allows a user to sign in, run a security scan, and review the scan results.
# Each action (sign in, run a scan, and review results) should be its own resource in the web service
...
AI is non-deterministic, so you may not get the same suggestion every time with the same input. To generate quality code, write clear, descriptive, specific tasks.
For use cases and best practices, follow the GitLab Duo examples documentation.
Open tabs as context
- Introduced in GitLab 17.2 with a flag named
advanced_context_resolver
. Disabled by default.- Introduced in GitLab 17.2 with a flag named
code_suggestions_context
. Disabled by default.- Introduced in GitLab VS Code Extension 4.20.0.
- Introduced in GitLab Duo for JetBrains 2.7.0.
- Added to the GitLab Neovim plugin on July 16, 2024.
FLAG: The availability of this feature is controlled by a feature flag. For more information, see the history.
To get more accurate and relevant results from Code Suggestions and Code Generation, you can use the contents of the files open in tabs in your IDE. Similar to prompt engineering, these files give GitLab Duo more information about the standards and practices in your code project.
Enable open tabs as context
Prerequisites:
- GitLab Duo Code Suggestions must be enabled for your project.
- For GitLab self-managed instances, the
code_suggestions_context
and theadvanced_context_resolver
feature flags must be enabled. - Use a supported code language:
- Code Completion: All configured languages.
- Code Generation: Go, Java, JavaScript, Kotlin, Python, Ruby, Rust, TypeScript (
.ts
and.tsx
files), Vue, and YAML.
::Tabs
:::TabTitle Visual Studio Code
- Install the GitLab Workflow extension version 4.14.2 or later from the Visual Studio Marketplace.
- Configure the extension settings.
- Enable the feature by turning on the
gitlab.aiAssistedCodeSuggestions.enabledSupportedLanguages
setting.
:::TabTitle JetBrains IDEs
For installation instructions for JetBrains IDEs, see the GitLab JetBrains Plugin documentation.
::EndTabs
Use open tabs as context
Open the files you want to provide for context:
- Open tabs uses the most recently opened or changed files.
- If you do not want a file used as additional context, close that file.
When you start working in a file, GitLab Duo uses your open files as extra context, within truncation limits.
You can adjust your Code Generation results by adding code comments to your file
that explain what you want to build. Code Generation treats your code comments
like chat. Your code comments update the user_instruction
, and then improve
the next results you receive.
Related topics
To learn about the code that builds the prompt, see these files:
-
Code Generation:
ee/lib/api/code_suggestions.rb
in thegitlab
repository. -
Code Completion:
ai_gateway/code_suggestions/processing/completions.py
in themodelops
repository.
You can provide feedback about this feature in issue 258.
Response time
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.
- Code completion suggestions are usually low latency.
- For code generation:
- Algorithms or large code blocks might 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.
Disable direct connections to the AI Gateway
- Introduced in GitLab 17.2 with a flag named
code_suggestions_direct_access
. Disabled by default.
Prerequisites:
- You must be an administrator for the GitLab self-managed instance.
To minimize latency for code completion requests, these requests are sent from the IDE directly to the AI Gateway.
For this direct connection to work, the IDE must be able to connect to https://cloud.gitlab.com:443
. If this is not
possible (for example, because of network restrictions), you can disable direct connections for all users. If you do this,
code completion requests are sent indirectly through the GitLab self-managed instance, and might result in your requests
having higher latency.
To disable direct connections to the gateway:
- On the left sidebar, at the bottom, select Admin.
- Select Settings > General.
- Expand AI-powered features.
- Select the Disable direct connections for code suggestions checkbox.
Inference window context
- Generally available in GitLab 16.8.
- Introduced open tabs context in GitLab 17.2 with flags named
advanced_context_resolver
andcode_suggestions_context
. Disabled by default.
Code Suggestions inferences against:
- The currently opened file
- The content before and after the cursor
- The filename and extension.
- In GitLab 17.2 and later when the
advanced_context_resolver
andcode_suggestions_context
feature flags are enabled.- Files opened in other tabs.
- User instructions
For more information on possible future context expansion to improve the quality of suggestions, see epic 11669.
Truncation of file content
Because of LLM limits and performance reasons, the content of the currently opened file is truncated:
- For code completion: to 2048 tokens (roughly 8192 characters).
- For code generation: to 142,856 tokens (roughly 500,000 characters).
Content above the cursor is prioritized over content below the cursor. The content above the cursor is truncated from the left side, and content below the cursor is truncated from the right side. These numbers represent the maximum input context size for Code Suggestions.
Output length
Because of LLM limits and for performance reasons, the output of Code Suggestions is limited:
- For code completion: to 64 tokens (roughly 256 characters).
- For code generation: to 2048 tokens (roughly 7168 characters).
Accuracy of results
We are continuing to work on the accuracy of overall generated content. However, Code Suggestions might 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.
Disable Code Suggestions
To disable Code Suggestions, disable the feature in your IDE editor extension. For details, see the documentation for your extension.
If you'd prefer, you can turn off GitLab Duo for a group, project, or instance.
Feedback
Provide feedback about your Code Suggestions experience in issue 435783.