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Curated ToolThis tool is part of our curated AI directory. We only include tools that meet our standards for relevance, usability and real-world value.

Continue

Continue is an open-source AI code assistant for VS Code and JetBrains IDEs that connects large language models to your codebase for chat, autocomplete, and inline edits. Developers can use Continue for code refactoring, explaining code, and generating changes with repository context.
Code Generation & CompletionTesting & Refactoring

FYAI Score

7.3 / 10

Based on 23 reviews

Pricing:

Free

Best for:

Developers who want an open-source AI coding agent in their editor

Score Breakdown

  • Ease of use7.3 / 10
  • Features7.0 / 10
  • Pricing7.7 / 10
  • Integrations7.3 / 10
  • Support7.0 / 10

PRODUCT PREVIEW

What this AI tool does

Continue is an open-source AI coding agent project for developers who want AI assistance inside their software development workflow, especially for code refactoring, code understanding, and agentic programming tasks. It has been known as a developer-first tool that connects large language models with the context of a codebase, helping users generate code, debug code, and reason through changes without leaving their coding environment. For many engineering teams, the appeal has been its position between a coding assistant and a configurable AI development platform. Rather than treating AI as a simple autocomplete layer, the tool was designed around the idea that useful coding agents need repository context, developer control, and the ability to work across real programming tasks. That made it especially relevant for teams experimenting with AI pair programming while still wanting transparency and ownership. At its core, the project focused on bringing AI into practical moments of development. A developer could ask for an explanation of unfamiliar code, plan a refactor, generate code for a new function, or get help with test generation after making changes. The strongest use case was not only writing new snippets, but helping developers move through the messy middle of software work, where understanding, editing, debugging, and validating code all overlap. The open-source character of Continue shaped much of its identity. Developers could inspect the codebase, adapt the agent experience, and connect it with different models or workflows instead of being locked into a single black-box product. For organizations evaluating Continue alternatives, that openness was often a central distinction, particularly where security, customization, and local development preferences mattered. A major turning point came when the official continue.dev site announced that Continue had been acquired by Cursor. The current positioning frames Continue as a pioneering open-source coding agent whose codebase may continue to serve as a foundation for other developers and projects. That makes the story of the tool partly a product story and partly an ecosystem story, since its ideas and architecture can influence future AI coding agents even as Cursor becomes the commercial home for much of the surrounding momentum. In practice, the tool is best understood as part of the first serious wave of AI coding agents built for real developer workflows rather than isolated prompt boxes. Continue is best at giving developers a context-aware way to collaborate with AI on code refactoring, debugging, code generation, and repository-level understanding. Its legacy is strongest where teams want to see how an AI coding assistant can be open, extensible, and close to the way engineers already work.

Use cases

Best for

Codebase Chat

Chat with your repository by asking questions and letting the agent read files and return answers with relevant code context.

Code Refactoring

Use Continue to propose refactors by editing selected files and returning a patch you can review and apply in your editor.

Generate Code

Generate new functions, tests, or boilerplate by prompting the agent and inserting the suggested code directly into your project files.

ANALYSIS

Strengths & limitations

Strengths
  • Best suited to developers who want inspectable AI coding assistance because its open-source codebase can be reviewed, extended, and used as a foundation.
  • Useful for engineering teams experimenting with AI developer tooling because its free pricing model lowers the cost of evaluation and adoption.
  • Strong fit for builders creating custom coding-agent workflows because the project is developer-oriented rather than a generic AI chatbot.
Limitations
  • Less suitable for teams that need a fully independent open-source governance path because Continue is now owned by Cursor.
  • Less suitable for non-technical teams because Continue is aimed at software development workflows rather than general business automation or no-code use cases.
  • Less suitable for teams seeking a turnkey managed coding assistant because its main value is as an open-source developer tooling foundation that may require engineering effort to adapt.

Evaluation

FYAI score breakdown

Our structured evaluation across five key criteria

7.3 / 10

Overall score

Based on 23 reviews

  • Ease of use7.3 / 10
  • Features7.0 / 10
  • Pricing7.7 / 10
  • Integrations7.3 / 10
  • Support7.0 / 10

What users say

Findings from public reviews, documentation and community sources.

  • Ease of use

    A Reddit thread describes Continue as available through “a CLI, a VS Code extension, and a JetBrains plugin.” The same Reddit thread says users were “pleasantly surprised” while noting prior consensus that Continue was “generally good” but “missing some of the killer features.”

  • Features

    The Continue docs describe Continue as a “pioneering open-source coding agent” with a “final 2.0.0 release” covering the VS Code extension, CLI, and JetBrains plugin. The Continue docs state Continue is “no longer actively maintained and is read-only.”

  • Pricing

    The Continue docs emphasize open-source availability, source-code links, and an “Apache 2.0” license. The Continue pricing page presents acquisition FAQs rather than active subscription tiers.

  • Integrations

    The Continue docs list “VS Code Marketplace,” “Open VSX Registry,” “CLI npm,” and “JetBrains” releases/source code. Continue’s documented entry points are IDE and CLI channels.

  • Support

    The Continue docs say users can “explore the rest of the Continue Docs” to configure and customize the tool. The Continue docs state the repository is “no longer actively maintained and is read-only.”

Who is this for?

Best for developers who want an open-source coding agent in familiar coding surfaces. Continue is available through “a CLI, a VS Code extension, and a JetBrains plugin.” Less suited to teams that need an actively maintained coding assistant, the Continue docs state the repository is “no longer actively maintained and is read-only.”

PRODUCT PREVIEW

Feature highlights

IDE coding agent

Plan, edit, and refactor code across your project with AI help.

Customizable workflows

Configure prompts, tools, and behaviors to match your repo and style.

Open-source foundation

Transparent codebase you can inspect, extend, and build on.

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Ship better code faster with an AI pair programmer in your editor. Start using Continue today to reduce busywork, catch issues earlier, and stay in flow.

FAQ

Frequently asked
questions

Everything you need to know about this AI tool,
its features, pricing, use cases, and limitations.

Who is Continue best suited for?
Continue is best suited for software developers, engineering teams, and builders who want an open-source AI coding assistant in their development workflow. It is a fit for code understanding, editing, debugging support, test generation, and agent-style help, especially for teams interested in open-source AI developer tooling.
Is Continue free to use?
Continue is best understood as a free, open-source AI coding tool, with its codebase remaining available after its acquisition by Cursor. Teams should still verify the current repository status, supported setup paths, and any related service requirements before treating it as a long-term production dependency.
How does Continue compare with other AI coding assistants?
Continue differs from many AI coding assistants by being positioned around open-source developer tooling and AI-assisted coding workflows. The right choice depends on whether a team prioritizes openness, customization, IDE workflow fit, managed product support, or roadmap clarity, especially now that Continue is under Cursor ownership.
How hard is it to set up Continue for code refactoring or debugging?
The main trade-off with Continue is uncertainty around its current product direction after the Cursor acquisition. Its official site no longer presents a detailed product feature page, so buyers should confirm what is actively maintained, what workflows are supported, and whether it fits their development standards.
What should teams check about Continue data privacy and compliance?
Teams evaluating Continue should review how their code, prompts, and generated outputs are handled in their chosen setup. For sensitive repositories, buyers should confirm model routing, data retention, access controls, logging, and any compliance requirements directly before adopting it in production engineering workflows.