Continue Overview
This Continue review covers the open-source AI coding assistant that took a principled stand in the AI IDE wars: instead of locking you into one model, one editor, and one vendor, Continue is an extension for VS Code and JetBrains that works with any model — hosted frontier models, your company’s API, or fully local models running on your own machine. It is free, Apache 2.0 licensed, and in 2026 remains the best answer to ‘I want AI in my editor without vendor lock-in.’
What Is Continue?
Continue is an open-source AI coding assistant extension for VS Code and JetBrains IDEs, launched in 2023 and backed by Y Combinator. It adds three things to your editor: chat with codebase context, autocomplete, and an agent mode for multi-file edits. The defining idea is model-agnosticism — you configure any provider through one JSON config file: OpenAI, Anthropic, Google, Azure, Ollama for local models, or anything OpenAI-compatible. Your code, your model, your keys.
That design makes Continue the privacy-first choice. Run it against a local model and your code never leaves your machine — no telemetry debates, no data retention policies to negotiate. For developers in regulated industries, on proprietary codebases, or simply unwilling to send their work to a cloud, this is the feature that matters. The GitHub repository has tens of thousands of stars, and the community has built a deep ecosystem of configs, custom context providers, and integrations.
Pricing in 2026: the Solo plan is genuinely free — all features, you bring your own API keys. A Models Add-on bundles frontier models (Claude, GPT, and others) for a flat monthly fee so you do not have to manage keys. Team is $10 per developer per month, adding Hub governance, shared configs, and centralized secrets. Enterprise is custom, with self-hosting, SSO, and advanced governance.
How Continue Works
After installing the extension, you configure models in config.json — chat model, autocomplete model, embeddings model — and Continue indexes your codebase for context. The chat interface supports @-mentions for files, folders, docs, and terminal output, so you can ask questions grounded in your actual code. Inline editing lets you highlight code and describe changes in natural language; the agent mode plans and executes multi-file changes with your approval at checkpoints.
Two capabilities stand out. First, custom context providers: you can wire in documentation, databases, or internal APIs as context sources, so the assistant answers with your company’s knowledge, not just the public internet. Second, MCP tool support: connect MCP servers and the AI becomes an agent with real tools — filesystem access, database queries, API calls, web scraping — all from inside your IDE. For teams, Continue Hub centralizes this: shared assistants, shared configs, and CI checks so the whole team gets the same setup.
The honest tradeoff is configuration overhead. Continue’s flexibility comes with JSON editing: multiple models, MCP servers, custom rules, and Hub connections all live in config files. Tools like Cursor’s ‘just install and go’ are simpler. Continue rewards the setup time with exactly the assistant you want — but beginners should expect an afternoon of tuning before it feels magical.
Continue vs Copilot and Cursor
The comparison that matters: GitHub Copilot is $10/month, polished, and deeply integrated with the GitHub ecosystem (PR reviews, issue Q&A) but sends your code to Microsoft’s cloud and locks you into their model choices. Cursor is the strongest out-of-the-box AI IDE at $20/month but requires adopting their editor fork. Continue is free, works in the editors you already use, runs any model including local ones, and is open source — but demands more configuration and its autocomplete is only as good as the model you connect.
Reviewers consistently note that Continue’s chat and agent quality with a frontier model rivals the paid tools, while its tab completions lag behind Copilot’s optimized completion model when paired with smaller local models. The fair summary: Continue wins on freedom and privacy, Copilot wins on polish and ecosystem, Cursor wins on raw out-of-the-box capability. Many developers run Continue precisely because they refuse to pick a vendor — and in 2026, with model quality commoditizing, that freedom costs less in capability than it used to.
Who Should Use Continue?
Developers who want AI assistance without committing to one model vendor, teams standardizing AI tooling across different preferences, anyone with privacy or compliance requirements that rule out cloud code transmission, and tinkerers who enjoy configuring their tools. It is also the natural pick for companies that want to offer AI assistance to developers while keeping everything inside their own infrastructure.
It fits less well for developers who want zero setup — Copilot or Cursor will make you productive in minutes — and for anyone outside VS Code or JetBrains, since Continue is extension-only with no terminal mode or Neovim support.
Our Verdict on Continue
Continue remains the most principled AI coding assistant in 2026: free, open source, model-agnostic, and privacy-respecting, with genuinely powerful chat, agent, and MCP capabilities once configured. The JSON configuration is the price of admission, and it is a fair one. For developers who value freedom over hand-holding, there is nothing else like it.
The bottom line of this Continue review: install the free extension, point it at your preferred model, and spend an afternoon on the config. If you have ever winced at a vendor lock-in clause, this is your tool.
Explore more options in our AI Developer Tools category.
Key Features
- Open-source (Apache 2.0) AI assistant for VS Code and JetBrains
- Works with any model: OpenAI, Anthropic, Google, Ollama, local
- Chat with codebase context via @-mentions and embeddings indexing
- Agent mode for planning and executing multi-file changes
- MCP server support gives the AI real tools and data access
- Custom context providers for docs, databases, and internal APIs
- Continue Hub for team-shared assistants and governance
- Fully local operation possible — code never leaves your machine
Continue Pricing
| Plan | Price |
|---|---|
| Solo (Free) | $0 |
| Models Add-on | $15/mo |
| Team | $10/dev/mo |
| Enterprise | Custom |
Pricing checked on October 4, 2026 — always confirm on the official site.
Continue Pros & Cons
✓ Pros
- Completely free and open source — no lock-in
- Any model including fully local (real privacy)
- Powerful agent mode and MCP tool support
- Team Hub for shared, governed setups
- Huge community and config ecosystem
✕ Cons
- BYO-model setup means you manage API keys and costs yourself
- Configuration is JSON-heavy — flexible but fiddly for beginners
- Extension-only: no standalone app, terminal mode, or Neovim support
- Autocomplete quality depends entirely on the model you connect
- Team/Hub features are younger and less proven than enterprise rivals
Continue FAQs
What is Continue used for?
Is Continue really free?
How is Continue different from GitHub Copilot?
Can Continue run without sending my code to the cloud?
What are the best Continue alternatives?
Best Continue Alternatives
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