Welcome to Double - Double, the AI Coding Copilot

What

Double is an AI coding assistant for developers, currently delivered as a VS Code extension. It combines chat, code generation and editing, autocomplete, and model selection inside the editor to support day-to-day software development workflows.

The product appears positioned as a performance-focused coding copilot for individual developers and teams who want AI help without leaving their IDE. Based on the page, its core workflow centers on asking questions with code context, generating or reviewing changes, and applying edits directly in the editor with minimal context switching.

Features

• Sidebar chat with code context: Provides a chat interface using models such as GPT-4o and Claude 3.5 Sonnet, helping developers ask questions with relevant code attached.
• CodeSnap change generation and application: Lets users generate, review, and apply code changes in one click, which can shorten edit-review cycles.
• Tab autocomplete: Offers inline code completion while coding to reduce repetitive typing and speed up implementation.
• Inline Edit (preview): Enables users to command, review, and apply changes directly inside the editor, supporting a more localized editing workflow.
• Custom Instructions: Allows personalization of AI responses so outputs can better match coding preferences or working style.
• Model and keyboard control options: Supports multiple state-of-the-art models and configurable key bindings, giving developers more control over interaction style and model choice.

Helpful Tips

• Confirm IDE fit early: The page states Double currently supports only VS Code, so teams using JetBrains, Neovim, or other editors should treat broader IDE support as future-facing rather than available now.
• Test model selection by task type: Since multiple leading models are offered, it is worth evaluating which model performs best for debugging, refactoring, explanation, or code generation in your stack.
• Set custom instructions carefully: Clear guidance on coding style, verbosity, and preferred patterns can improve consistency, but vague instructions may reduce output quality.
• Review one-click changes before applying: Features that generate and apply edits quickly are useful, but developer review remains important for architecture, security, and correctness.
• Lean into keyboard-first workflows: Configurable key bindings can improve adoption for developers who want to minimize mouse use and keep AI assistance embedded in normal coding flow.