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Home/Categories/AI & Machine Learning/Continue
icon of Continue

Continue

Open source alternative to GitHub Copilot, Tabnine and Gemini Code Assist

  • 36.3K stars
  • Apache-2.0
  • Active this week
  • Last commit 1 day ago

Last verified Oct 21, 2026

Continue is an open source Copilot alternative for VS Code and JetBrains that connects to any LLM — cloud or local — for inline completions, chat, and codebase-aware edits. Apache 2.0.

Visit websiteGitHub36.3K starsDeploy on Hostinger
Continue AI coding extension for VS Code and JetBrains
TL;DR

Continue is an open source AI code assistant that brings chat, autocomplete, edit, and agent workflows into IDEs. It replaces GitHub Copilot for developers who want configurable models, local or hosted LLMs, and control over context sent from their codebase.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs and the FAQ
who it's for

Who Continue is for#

Developers testing local LLM coding

Use Continue to connect local models into daily IDE workflows for chat, edit, and autocomplete.

Skip if:

Skip if you want a fully managed assistant and do not care about provider choice.

Teams controlling code context

Use Continue when security or architecture teams need visibility into which code context reaches which model.

Skip if:

Skip if your organization already approves GitHub Copilot and wants the fastest rollout.

the problem

The problem it solves#

Hosted coding assistants are convenient but limit model choice, context rules, and deployment control. Teams working with sensitive code need a way to choose which models run, what context is shared, and how assistant behavior fits their workflow.

how Continue solves it

How it solves it#

IDE-native AI workflows

Continue brings chat, code editing, autocomplete, and agent-style assistance into developer editors rather than a separate web app.

Configurable model providers

Developers can connect local or hosted models, making Continue useful for teams experimenting with different LLMs.

Context-aware assistance

Continue focuses on using codebase context so answers, edits, and suggestions reflect the files a developer is working with.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Model flexibilityContinue is useful when teams want to compare OpenAI, Anthropic, local, or other model endpoints without changing IDE workflows.
  • Open assistant layerApache-2.0 licensing gives teams more control over the assistant integration than closed hosted copilots.

Trade-offs

  • -Configuration is part of the valueContinue gives control, but teams must configure providers, context rules, and policies. A hosted copilot is simpler for individual developers.
versus alternatives

Continue vs alternatives#

Continue vs GitHub Copilot

Continue is better when teams want open configuration, local model options, and control over code context. GitHub Copilot is still stronger for the simplest managed rollout and consistently high default model quality.

tech stack · detected from GitHub

What it's built on#

Languages
JavaScriptKotlinPythonRustTypeScript
Frameworks
Next.jsReact
Databases
PostgreSQLSQLite
Infrastructure
AWS
Tooling
esbuild
frequently asked

FAQ#

What is Continue?

Continue is an open source AI code assistant for IDE chat, autocomplete, edits, and agent workflows.

What does Continue replace?

Continue commonly replaces GitHub Copilot or closed AI coding extensions when model control matters.

Can Continue use local models?

Yes. Continue is designed to work with configurable model providers, including local model setups.

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by category

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Hostinger

Run Continue on your own server

Self-host Continue on a Hostinger VPS.

Deploy on Hostinger

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