Continue is an open-source AI code assistant for VS Code and JetBrains. Review features, pricing, and alternatives to decide if it fits your dev team in 2026.
Continue is an open-source AI code assistant designed to bring AI-powered autocomplete, chat, edits, and agent workflows directly into VS Code and JetBrains. It was acquired by Cursor, a move that signals a shift in its roadmap. This review examines what Continue offers, its current status, and what it means for development teams evaluating AI tooling in 2026.
Quick Summary
Overall Rating 3.8/5 Best For Development teams wanting an open-source, model-agnostic AI assistant Pricing Free (open-source) Free Plan Yes Ease of Use 4.0/5 Business Value 3.5/5
Continue addresses a core business problem: giving development teams control over their AI tooling. As an open-source assistant, it lets organizations plug in any model—cloud or fully local—avoiding vendor lock-in and keeping sensitive code on-premises. This flexibility is a significant advantage for teams with strict data governance. The acquisition by Cursor adds a layer of uncertainty, but the open-source codebase remains available. For teams exploring AI coding tools, Continue represents a foundational option that prioritizes flexibility and transparency over a closed, proprietary ecosystem.
Professional reality: With Continue's acquisition by Cursor, its long-term roadmap is unclear; businesses that need guaranteed, long-term support should not rely on it as their primary, strategic AI platform.
Continue lets teams connect to a wide range of AI models, from cloud providers to fully local, self-hosted options. This flexibility ensures that data governance policies can be met without sacrificing AI capabilities.
Business outcome: Enables compliance with data residency rules by keeping code on-premises.
The assistant integrates directly into the two most popular IDEs, providing a seamless workflow for developers. This reduces context switching and helps maintain focus.
Business outcome: Reduces developer friction and accelerates adoption across the team.
Teams can define custom rules and prompt files that are checked into the repository. This ensures that AI suggestions align with project-specific coding standards and conventions.
Business outcome: Improves code consistency and reduces the need for manual code reviews.
The open-source nature of Continue allows teams to audit the codebase for security and contribute features. This transparency is a major trust factor for many organizations.
Business outcome: Provides long-term flexibility and reduces dependency on a single vendor's roadmap.
Continue supports agent workflows, enabling the AI to perform more complex tasks like refactoring or writing boilerplate code across multiple files. This moves beyond simple autocomplete.
Business outcome: Automates routine development tasks, freeing up engineers for higher-value work.
A team hub allows organizations to manage configurations and share settings across the team, ensuring a consistent AI assistant experience for all developers.
Business outcome: Streamlines onboarding and ensures consistent AI behavior across the organization.
Continue is an open-source project, meaning the core software is free to use and modify. Pricing is not publicly listed on their site, as the primary product is free. The acquisition by Cursor may introduce future paid enterprise offerings, but as of June 2026, no such pricing is publicly available. The open-source codebase remains freely available as a foundation for others.
| Plan | Price | What You Get |
|---|---|---|
| Open Source Best Value | Free | The core Continue extension for VS Code and JetBrains, with full access to all features and model integrations. |
Visit the official Continue website to check the latest pricing and plans.
For teams in finance, healthcare, or government, where code cannot leave the building, Continue's local model support is essential. It provides AI assistance without compromising security.
Organizations that want to build a custom AI stack using their own fine-tuned models can use Continue as the IDE interface, plugging in their proprietary models.
Companies with a strict open-source policy will find Continue aligns with their values, offering a transparent alternative to proprietary tools like GitHub Copilot.
Technical leads evaluating the AI coding landscape can use Continue as a baseline for open-source, flexible tooling, comparing its capabilities against more integrated, commercial offerings.
Install the Continue extension from the VS Code or JetBrains marketplace.
Configure your preferred AI model provider, whether it's a cloud API or a local server.
Set up project-specific rules and prompt files to align the AI with your coding standards.
Start using the chat and autocomplete features on a small, non-critical codebase to evaluate its performance.
For teams that prioritize data privacy and model flexibility, Continue is a valuable, zero-cost tool that delivers on its core promise of an open-source AI assistant. Its primary strength is the control it gives to the user. However, the recent acquisition by Cursor introduces significant uncertainty, making it a risky choice for organizations that need a stable, long-term platform. It is most worth it for teams that have the technical capacity to manage their own setup and are comfortable with a community-driven support model. For others, exploring more established commercial options may be a safer bet.
| Decision Area | Continue | When Another Option Wins |
|---|---|---|
| Best for | Teams needing model flexibility and data privacy | Teams wanting a fully integrated, turnkey solution |
| Pricing | Free and open-source | Paid plans with enterprise support and SLAs |
| Key feature | Model-agnostic, local deployment | Deep integration with a single vendor's ecosystem |
| Ease of use | Simple to install, but complex to configure for local models | Zero-config, works out of the box |
| Scaling | Scales with your own infrastructure, but requires in-house expertise | Scales with a vendor's managed cloud infrastructure |
GitHub Copilot is a commercial, tightly integrated AI assistant that offers a polished, out-of-the-box experience. While Continue offers flexibility and privacy, Copilot offers convenience and a more streamlined setup. Copilot is deeply embedded in the GitHub ecosystem, making it a natural choice for teams already using GitHub. Continue is better for teams that need to use specific models or keep code on-premises.
Choose Continue if: Choose Continue if you need to use a specific model (like a local one) or have strict data privacy requirements. Choose GitHub Copilot if: Choose GitHub Copilot if you want a seamless, zero-config experience and are already invested in the GitHub ecosystem.
Cursor is an AI-native code editor that has now acquired Continue. Cursor offers a more integrated, productized experience as a full editor, whereas Continue is an extension. For teams that want a dedicated AI-first editor, Cursor is the stronger choice. Continue remains relevant for those who want to stick with their current IDE but add AI capabilities with maximum model flexibility.
Choose Continue if: Choose Continue if you want to stay in VS Code or JetBrains and need a model-agnostic assistant. Choose Cursor if: Choose Cursor if you are open to switching to a purpose-built AI editor for a more integrated experience.
Yes, the core Continue extension is open-source and free to use. There is no paid tier for the open-source project itself. However, you will need to pay for any external AI models you choose to connect, unless you run them locally.
Continue is best used by development teams that need to integrate AI into their workflow while maintaining strict control over their code and models. It is ideal for organizations with data privacy concerns or those that want to avoid vendor lock-in.
Continue offers more flexibility and privacy, while GitHub Copilot offers more convenience and deeper integration with the GitHub ecosystem. Continue is model-agnostic and can be run locally, whereas Copilot is a commercial product tied to OpenAI models.
For small businesses with technical expertise, Continue can be a great zero-cost tool to boost developer productivity. However, the setup complexity and lack of official support may be a hurdle. It is worth it if the team values control and is comfortable managing its own AI infrastructure.
The main limitations are the uncertainty around its future after the Cursor acquisition, the complexity of setting up local models, and the lack of formal enterprise support. These factors make it a riskier choice for organizations that need guaranteed long-term stability.
Bottom Line: Invest in Continue only if you have the technical capacity to manage it and prioritize control over convenience, but be prepared for its roadmap to be shaped by Cursor.
Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team
AI Coding Tools
Basic features included
The core Continue extension for VS Code and JetBrains, with full access to all features and model integrations.
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