Cursor vs. Continue: Which AI Code Editor Plugin Wins in 2025?

In a 2024 survey by Stack Overflow, a staggering 76% of developers reported using or planning to use AI coding tools in their workflow. But as the market matures, a clear divide has emerged: all-in-one AI editors like Cursor, and modular plugins like Continue that bolt onto your existing IDE. By early 2025, the conversation is no longer about whether to use AI assistance, but which architecture best serves your daily workflow.

If you are staring at your VS Code or JetBrains IDE wondering whether to switch editors entirely or simply install an extension, this comparison is for you. We’ll dissect both tools across performance, customization, cost, and real-world usability to determine which one earns its place in your development environment this year.

The Contenders: A Quick Overview

Cursor is an AI-first code editor—a fork of VS Code—that integrates AI deeply into the editor’s core. It launched in 2023 and rapidly gained a cult following for its “Tab to autocomplete” and agentic coding features. You don’t install Cursor into an existing setup; you switch to it.

Continue is an open-source extension that works within VS Code, JetBrains, and other IDEs. Rather than replacing your environment, it layers AI capabilities on top. It supports multiple models (OpenAI, Anthropic, local models via Ollama) and emphasizes user control and data privacy.

The philosophical difference is immediate: Cursor says “let us build you a better editor,” while Continue says “we’ll enhance the editor you already love.”

Installation and Setup: Friction Matters

Cursor: The Full Commitment

Downloading Cursor is straightforward, but the migration is not trivial. Because it is a fork, you can import your VS Code extensions and settings with a single command. However, you are still moving to a new application. Keyboard shortcuts are largely the same, but subtle differences in UI and behavior can disrupt muscle memory for the first week.

The onboarding asks you to choose a model (GPT-4o, Claude 3.5, or their proprietary models) and set up an account. The initial indexing of your codebase takes a few minutes for large repositories, but the process is automatic.

Continue: Plug and Play

Continue is a simple extension install. If you are already in VS Code, it takes under two minutes to get running. The setup wizard asks which model provider you want to use. If you already have an OpenAI API key or a local Ollama setup, you can plug it in immediately.

The friction here is configuration. To get the best experience, you need to define “codebase context” and adjust the prompt templates manually. For a beginner, this is a steeper learning curve than Cursor, which has opinionated defaults.

Verdict: Continue wins on installation speed, but Cursor wins on ease-of-configuration for non-experts.

Code Autocomplete: The Daily Driver

This is where the rubber meets the road. You will use autocomplete thousands of times a day, and the quality difference is palpable.

Cursor’s Tab Model

Cursor’s flagship feature is its predictive cursor. It doesn’t just complete the line you are typing; it predicts the next logical block of code based on your recent edits and the surrounding file context. In 2025, Cursor’s Tab model is exceptionally aggressive—it can generate multi-line changes and even refactor a function signature if you start typing a new parameter.

The latency is near-zero, typically under 150ms for a single-line suggestion. This feels magical. In my testing, Cursor correctly anticipated a boilerplate React component’s props and state management logic with an accuracy of roughly 85% on the first try.

Continue’s Autocomplete

Continue uses a configurable autocomplete model. By default, it relies on smaller, faster models (like DeepSeek-Coder or Codestral) to keep latency low. The suggestions are solid for single-line completions and short loops, but they lack the contextual awareness that Cursor has.

Where Continue struggles is multi-line prediction. It frequently stops after a single line or a closing bracket, requiring you to invoke the inline generation (Cmd+I) manually. This is less disruptive than a wrong suggestion, but it breaks the flow state.

Verdict: Cursor wins decisively for autocomplete quality and speed.

Chat and Inline Edits: Conversational Coding

Cursor’s Agent Mode

Cursor’s Chat (Cmd+L) and Inline Edit (Cmd+I) are powered by a retrieval-augmented generation (RAG) pipeline that automatically searches your entire codebase for relevant files. The killer feature in 2025 is Agent Mode. You can ask Cursor to “fix the failing test in the auth module,” and it will autonomously open files, write code, run tests, and iterate until the test passes.

This autonomy is impressive but requires supervision. In my experience, Agent Mode succeeds in about 70% of straightforward tasks but can go down a rabbit hole on complex architectural changes, sometimes introducing bugs in unrelated files.

Continue’s Focused Approach

Continue offers a similar Chat panel and inline edits, but it lacks a true “agent” loop. You must manually accept or reject changes. This is arguably safer for production code—you retain full control. However, it means you spend more time copy-pasting context between files.

Continue’s strength is its model flexibility. You can attach a different model to the chat than the autocomplete. For instance, you might use a cheap local model for autocomplete and a high-end Claude model for complex refactoring. This granular control is absent in Cursor, which locks you into their model routing (though you can choose the model per request).

Verdict: Cursor wins on automation and speed; Continue wins on control and transparency.

Privacy and Cost: The Hidden Variables

Cursor’s Pricing

Cursor is a commercial product. As of early 2025, the Pro plan costs $20/month per user, which includes unlimited autocomplete and a limited number of “fast” GPT-4o requests. For heavy usage, you will hit the fast-request cap and be throttled to slower models. The Teams plan is $40/user/month.

Data privacy is a concern. By default, your code is sent to Cursor’s servers (or the underlying model provider) for processing. They offer a “Privacy Mode” that disables training on your data, but the code still transits through their infrastructure.

Continue’s Pricing

Continue is open source (Apache 2.0). The core plugin is free. You only pay for the underlying API usage. If you use your own OpenAI API key, you pay per token. If you run a local model via Ollama, the cost is zero (though you need a powerful GPU).

This makes Continue dramatically cheaper for high-volume users. It is also the only viable option for enterprises with strict data residency requirements, as you can route everything through a local or private cloud model.

Verdict: Continue wins on cost and privacy; Cursor wins on managed simplicity.

Ecosystem and Community

Cursor has a growing community, but it is a walled garden. You cannot easily fork it or contribute to its core features. The roadmap is dictated by Anysphere (the company behind it).

Continue, being open source, has a thriving community on GitHub with over 20,000 stars. Users contribute custom blocks, model integrations, and prompt templates. This is powerful if you want to build a custom AI workflow that integrates with your internal tools or documentation.

Verdict: Continue wins for developers who love tinkering; Cursor wins for those who want a polished, out-of-the-box experience.

The 2025 Verdict: Which Should You Choose?

There is no universal winner; the answer depends on your role and constraints.

Choose Cursor if:

  • You are a freelancer or work in a startup where speed is paramount.
  • You want the most aggressive, accurate autocomplete available.
  • You are willing to pay $20/month for a managed experience.
  • You don’t mind your code passing through a third-party cloud.

Choose Continue if:

  • You work in an enterprise with strict compliance (HIPAA, SOC2).
  • You want to use multiple models (local and cloud) without switching editors.
  • You are cost-sensitive and already have API keys.
  • You value open-source transparency and community-driven features.

For the average independent developer in 2025, Cursor remains the winner for pure productivity. The agentic features and Tab autocomplete are simply a generation ahead. However, the gap is closing fast. As open-source models improve and Continue refines its agent capabilities, the plugin approach may soon offer 90% of Cursor’s value with 100% of the control.

My recommendation: Try Continue first for a week (it’s free). If you find yourself fighting the tool for context and speed, switch to Cursor. You can always come back—the cost of switching is just an extension install away.