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.

Open source alternative to GitHub Copilot, Tabnine and Gemini Code Assist
Last verified
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.
Use Continue to connect local models into daily IDE workflows for chat, edit, and autocomplete.
Skip if you want a fully managed assistant and do not care about provider choice.
Use Continue when security or architecture teams need visibility into which code context reaches which model.
Skip if your organization already approves GitHub Copilot and wants the fastest rollout.
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.
Continue brings chat, code editing, autocomplete, and agent-style assistance into developer editors rather than a separate web app.
Developers can connect local or hosted models, making Continue useful for teams experimenting with different LLMs.
Continue focuses on using codebase context so answers, edits, and suggestions reflect the files a developer is working with.
Continue is an open source AI code assistant for IDE chat, autocomplete, edits, and agent workflows.
Continue commonly replaces GitHub Copilot or closed AI coding extensions when model control matters.
Yes. Continue is designed to work with configurable model providers, including local model setups.
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Run Continue on your own server
Self-host Continue on a Hostinger VPS.
Deploy on HostingerFeatured
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