Autocomplete

Learn how Cody helps you get contextually-aware autocompletions for your codebase.

Cody provides intelligent autocomplete suggestions as you type using context from your code, such as your open files and file history. Cody autocompletes single lines or whole functions in any programming language, configuration file, or documentation. It’s powered by the latest instant LLM models for accuracy and performance.

Autocomplete supports any programming language because it uses LLMs trained on broad data. It works exceptionally well for Python, Go, JavaScript, and TypeScript.

Cody's autocomplete capabilities

Cody's autocompletion model has been designed to enhance speed, accuracy, and the overall user experience. Both Cody Free and Pro users can expect the following with Cody's autocomplete:

• Increased speed and reduced latency: The P75 latency is reduced by 350 ms, making the autocomplete function faster
• Improved accuracy for multi-line completions: Completions across multiple lines are more relevant and accurately aligned with the surrounding code context
• Higher completion acceptance rates: The average completion acceptance rate (CAR) is improved by more than 4%, providing a more intuitive user interaction

On the technical side, Cody's autocomplete is optimized for both server-side and client-side performance, ensuring seamless integration into your coding workflow. The default autocomplete model for Cody Free, Pro and Enterprise users is DeepSeek V2, which significantly helps boost both the responsiveness and accuracy of autocomplete. Cody Enterprise users get StarCoder as the default autocomplete model.

Prerequisites

To view how Cody provides code completions , you'll need to have the following:

• A Free or Pro account via Sourcegraph.com or a Sourcegraph Enterprise account
• A supported editor extension (VS Code, JetBrains) installed

Working with code autocomplete

The autocomplete feature is enabled by default on all IDE extensions, i.e., VS Code and JetBrains. Generally, there's a checkbox in the extension settings that confirms whether the autocomplete feature is enabled or not. In addition, some autocomplete settings are optionally and explicitly supported by some IDEs. For example, JetBrains IDEs have custom settings that allow you to customize colors and styles of the autocomplete suggestions.

You can start typing and Cody will automatically provide suggestions and context-aware completions based on your coding patterns and the code context. These autocomplete suggestions appear as grayed text. To accept the suggestion, press the Enter or Tab key.

Configure autocomplete on an Enterprise Sourcegraph instance

By default, a fully configured Sourcegraph instance picks a default LLM to generate code autocomplete. Custom models can be used for Cody autocomplete based on your specific requirements. To do so:

• Go to the Site admin of your Sourcegraph instance
• Navigate to Configuration > Site configuration
• Here, edit the completionModel option inside the completions
• Click the Save button to save the changes

Before configuring the autocomplete feature, it's recommended to read more about Enabling Cody on Sourcegraph Enterprise guide.

Cody Autocomplete goes beyond basic suggestions. It understands your code context, offering tailored recommendations based on your current project, language, and coding patterns. Let's view a quick demo using the VS Code extension.

Here, Cody provides suggestions based on your current project, language, and coding patterns. Initially, the code.js file is empty. Start writing a function for bubbleSort. As you type, Cody suggests the function name and the function parameters.

Cody automatically suggests the next few code snippets for every new line based on your current context, i.e., functions for insertionSort and selectionSort.