Continue: The Open Source AI Standard (2026 Review)

Rating: 9.1/10 (Best for Privacy & Customization)

1. Executive Summary

Continue is the leading open-source AI code assistant extension for VS Code and JetBrains. While tools like Cursor require you to switch IDEs, Continue brings the power of an AI-native experience to the editor you already use. It is widely regarded as the "Linux of AI coding tools"—highly customizable, privacy-focused, and powerful.

By 2026, Continue has become the enterprise standard for companies that cannot send code to proprietary clouds. Its ability to connect to any model—local, private cloud, or public API—makes it the most flexible tool on the market.

2. Core Features

2.1. "Bring Your Own Model" (BYOM)

Continue's defining feature is its configuration file (config.json). You can map different models to different tasks:

• Chat: Use Claude 3.5 Sonnet for reasoning.
• Autocomplete: Use a locally running StarCoder2 or DeepSeek-Coder (via Ollama) for zero-latency, offline completions.
• Embeddings: Use nomic-embed-text for codebase indexing.

2.2. @Context Providers

Continue introduced the concept of "Context Providers" which allows you to reference dynamic context in chat:

• @Codebase: Search the entire project.
• @Docs: Reference documentation for libraries (React, AWS, etc.).
• @Git: Reference diffs or commits.
• @Terminal: Reference the last command output.

2.3. Tab Autocomplete

Continue provides a full-featured inline autocomplete experience (ghost text) that rivals GitHub Copilot, but runs entirely on your terms (often locally).

3. Pros & Cons

Pros

• Privacy: No code leaves your machine if you use local models.
• IDE Agnostic: Works in VS Code and JetBrains IDEs.
• Free: The extension is free; you only pay for your own API usage (if any).

Cons

• Setup Required: Not "plug and play" like Copilot; requires configuring models.
• UX: Slightly less polished than the integrated experience of Cursor.