Tab Completion

Learn how List Coder's AI-powered Tab completion predicts your next edit.

Tab Completion

Tab completion in List Coder predicts your next code edit with remarkable accuracy. It understands your project context, coding patterns, and common idioms to suggest completions that feel natural.

How It Works

As you type, List Coder analyzes your codebase in real-time and presents AI-powered suggestions. Unlike traditional autocomplete, Tab completion can suggest entire blocks of code, not just single words.

What Tab Completion Can Do

  • Complete functions — Suggest full function implementations
  • Generate boilerplate — Create repetitive code patterns
  • Fix errors — Suggest corrections for syntax errors
  • Add types — Infer and add TypeScript types
  • Write tests — Generate test cases for your code
  • Add comments — Create meaningful documentation

Example

// Type this:
function calculate

// Press Tab to accept:
function calculateTotal(items) {
  return items.reduce((sum, item) => sum + item.price, 0);
}

Another Example

// Type this:
async function fetchUser

// Press Tab to accept:
async function fetchUser(id: string): Promise<User | null> {
  try {
    const response = await fetch(`/api/users/${id}`);
    if (!response.ok) return null;
    return await response.json();
  } catch (error) {
    console.error('Failed to fetch user:', error);
    return null;
  }
}

Keyboard Shortcuts

ActionShortcut
Accept suggestionTab
Dismiss suggestionEsc
See alternativesCtrl + →
Trigger completion manuallyCtrl + Space
Accept all suggestions in fileCtrl + Shift + A

Configuration

Enable/Disable Tab Completion

  1. Open Settings (Ctrl + ,)
  2. Navigate to AI → Tab Completion
  3. Toggle Enable Tab Completion on/off

Adjust Suggestion Behavior

  • Auto-trigger — Show suggestions automatically as you type
  • Manual trigger — Only show suggestions when you press Ctrl + Space
  • Aggressive mode — Show more suggestions, including less confident ones

Context Settings

  • File context — Include other open files in suggestions
  • Project context — Analyze entire project for better suggestions
  • Recent changes — Consider recent edits for more relevant completions

Tips for Better Suggestions

Keep Files Open:

Tab completion works better when related files are open. Keep your most-used files in tabs to improve suggestion quality.

Use Descriptive Names:

Variable and function names help the AI understand your intent. Use descriptive names like calculateTotalPrice instead of calc.

Write Comments:

Adding comments before your code helps the AI understand what you're trying to build. The suggestions will be more accurate.

Supported Languages

Tab completion works with all major programming languages:

  • Web: JavaScript, TypeScript, HTML, CSS, JSX, TSX
  • Backend: Python, Java, C#, Go, Rust, Ruby, PHP
  • Mobile: Swift, Kotlin, Dart
  • DevOps: YAML, Dockerfile, Terraform
  • Data: SQL, R, Julia
  • And many more...

Privacy

Privacy:

When using cloud AI models, your code is processed to generate suggestions. When using local models via Ollama, all processing happens on your machine — no code leaves your device.