Autocomplete

Kilo Code's autocomplete feature provides intelligent code suggestions and completions while you're typing, helping you write code faster and more efficiently. It offers both automatic and manual triggering options.

How Autocomplete Works

Autocomplete analyzes your code context and provides:

• Inline completions as you type
• Quick fixes for common code patterns
• Contextual suggestions based on your surrounding code
• Multi-line completions for complex code structures

Triggering Options

Code Editor Suggestions

Auto-trigger suggestions

When enabled, Kilo Code automatically shows inline suggestions when you pause typing. This provides a seamless coding experience where suggestions appear naturally as you work.

• Auto Trigger Delay: Configure the delay (in seconds) before suggestions appear after you stop typing
• Default is 3 seconds, but this can be adjusted up or down
• Shorter delays mean quicker suggestions but may be more resource-intensive

Trigger on keybinding (Cmd+L)

For more control over when suggestions appear:

1. Position your cursor where you need assistance
2. Press Cmd+L (Mac) or Ctrl+L (Windows/Linux)
3. Kilo Code analyzes the surrounding context
4. Receive immediate improvements or completions

This is ideal for:

• Quick fixes
• Code completions
• Refactoring suggestions
• Keeping you in the flow without interruptions

You can customize this keyboard shortcut as well in your VS Code settings.

Chat Suggestions

Enable Chat Autocomplete

When enabled, Kilo Code will suggest completions as you type in the chat input. Press Tab to accept suggestions.

Provider and Model Selection

Autocomplete currently uses Codestral (by Mistral AI) as the underlying model. This model is specifically optimized for code completion tasks and provides fast, high-quality suggestions.

How the Provider is Chosen

Kilo Code automatically selects a provider for autocomplete in the following priority order:

• Mistral (using codestral-latest)
• Kilo Code (using mistralai/codestral-2508)
• OpenRouter (using mistralai/codestral-2508)
• Requesty (using mistral/codestral-latest)
• Bedrock (using mistral.codestral-2508-v1:0)
• Hugging Face (using mistralai/Codestral-22B-v0.1)
• LiteLLM (using codestral/codestral-latest)
• LM Studio (using mistralai/codestral-22b-v0.1)
• Ollama (using codestral:latest)

note

Model Selection is Currently Fixed: At this time, you cannot freely choose a different model for autocomplete. The feature is designed to work specifically with Codestral, which is optimized for Fill-in-the-Middle (FIM) completions. Support for additional models may be added in future releases.

Disable Rival Autocomplete

We recommend disabling rival autocompletes to optimize your experience with Kilo Code. To disable GitHub Copilot autocomplete in VSCode, go to Settings and navigate to GitHub > Copilot: Advanced (or search for 'copilot').

Then, toggle to 'disabled':

If using Cursor, go to Settings > Cursor Settings > Tab, and toggle off 'Cursor Tab':

Best Practices

1. Balance speed and quality: Faster models provide quicker suggestions but may be less accurate
2. Adjust trigger delay: Find the sweet spot between responsiveness and avoiding too many API calls
3. Use Quick Task for complex changes: It's designed for more substantial code modifications
4. Use Manual Autocomplete for precision: When you need suggestions at specific moments
5. Configure providers wisely: Consider using faster, cheaper models for autocomplete while keeping more powerful models for chat

Tips

• Autocomplete works best with clear, well-structured code
• Comments above functions help autocomplete understand intent
• Variable and function names matter - descriptive names lead to better suggestions

Related Features

• Code Actions - Context menu options for common coding tasks