Continue.dev - Open-Source AI Code Assistant

Overview

Continue.dev is an open-source AI coding assistant that takes a fundamentally different approach from Copilot or Cursor: instead of locking you into one model, it lets you plug in any LLM. Connect OpenAI, Anthropic, or run Llama 3 locally via Ollama. You control the model, the data flow, and the privacy settings.

continue.dev

Architecture & Model Specs

• Architecture: VS Code/JetBrains extension acting as LLM router
• Model Support: OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3.5 Sonnet), Google (Gemini), Mistral, any OpenAI-compatible endpoint
• Local Models: Full Ollama integration for local Llama 3, CodeLlama, DeepSeek-Coder
• Context Window: Inherits from the connected model (e.g., 128k for Claude 3.5 Sonnet)
• Code Context: File-level context with optional codebase indexing via embeddings

The key architectural insight is agnosticism. Continue doesn't train a model — it's the layer between your IDE and whatever model you choose. This means when a better model comes out, you just swap the config — no new editor, no new subscription.

Key Features

• BYO Model: Connect to any LLM via API key or local Ollama instance
• Tab Autocomplete: Inline code suggestions as you type
• Chat Interface: Natural language Q&A about your code
• Code Editing: Highlight a block and ask Continue to refactor, explain, or translate
• Custom Prompts: Define reusable prompt templates for common tasks
• Full Privacy: Run entirely locally with Ollama — zero code leaves your machine
• Open Source: Apache 2.0 license — inspect, modify, and self-host everything

API Performance

• API Access: Continue IS NOT an API provider — it's a client that connects to other APIs
• Latency: Depends on the connected model — ~200ms for local Llama 3 via Ollama, ~1-2s for cloud models
• Rate Limits: Inherits from your chosen model provider
• Local Mode: Zero network calls when running Ollama locally

Pricing Breakdown

Privacy & Safety

• Local Mode: 100% private with Ollama — no network calls, no data sent anywhere
• Cloud Mode: Code sent to your chosen provider (configurable per-provider)
• Open Source: Full transparency — audit exactly what data is sent where
• Enterprise: Self-hostable with custom model endpoints

The Killer Feature

Model agnosticism — while Copilot locks you into GitHub's ecosystem and Cursor into its own editor, Continue lets you switch models with a config change. Today you use Claude 3.5 Sonnet for its reasoning, tomorrow you swap to local Llama 3 for privacy, next week you try a new fine-tuned model. You own the pipeline. In a market where every vendor wants lock-in, Continue's openness is radical and liberating.

Best Use Cases

Continue is strongest for teams that already know how they want to code. If you have a clear IDE workflow, care about data control, or want to experiment with different models without changing tools, it fits well. It is also a practical choice for engineers who prefer local models for sensitive work or who want a lighter-weight alternative to heavier agentic IDEs.

It is less compelling for users who want an all-in-one product with polished onboarding, auto-managed prompts, and deep project indexing out of the box. Continue rewards people who enjoy configuring their own stack.

Who Should Skip It

Skip Continue if you want the easiest possible beginner experience, if you do not want to manage API keys, or if your team expects the assistant to make more product decisions on its own. In those cases, Cursor or Claude Code will usually feel more complete.

Pros & Cons

Pros:

• Use any LLM — switch models at will
• 100% private with local Ollama mode
• Open source and fully auditable
• Works in your existing IDE (VS Code, JetBrains)
• No vendor lock-in

Cons:

• You need to manage your own API keys and model subscriptions
• No codebase-wide indexing like Cursor or Cody
• Setup more complex than out-of-the-box solutions
• Autocomplete quality depends entirely on your chosen model

Verdict

Continue.dev is the right choice when control matters more than convenience. It is not the flashiest assistant, but it is one of the most future-proof because it keeps the model layer open. For teams that want privacy, flexibility, and a lower lock-in risk, it is a serious option.

If you are comparing it with more opinionated tools, start with Cursor for a smoother all-in-one workflow or Claude Code for a more autonomous terminal agent.