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The open-source autopilot for software development that puts you in control of your models and context.

Continue is a leading open-source AI code assistant designed to bridge the gap between Large Language Models (LLMs) and integrated development environments (IDEs) like VS Code and JetBrains. Built on a modular architecture, Continue allows developers to bring their own models—whether hosted locally via Ollama and LM Studio or via cloud providers like Anthropic, OpenAI, and Mistral. In the 2026 landscape, Continue distinguishes itself by providing deep codebase indexing through local RAG (Retrieval-Augmented Generation) and a highly customizable configuration system (.continue/config.json). Unlike proprietary competitors, Continue empowers enterprises to maintain total data sovereignty by facilitating a 'Local-First' AI development workflow. The platform supports key functionalities including tab-autocomplete, side-bar chat, and inline code transformations. Its 2026 market positioning focuses on the 'Continue for Teams' ecosystem, which offers a centralized hub for managing custom prompts, context providers, and model routing, ensuring consistency across large engineering organizations while avoiding vendor lock-in.
Continue is a leading open-source AI code assistant designed to bridge the gap between Large Language Models (LLMs) and integrated development environments (IDEs) like VS Code and JetBrains.
Explore all tools that specialize in vs code extension. This domain focus ensures Continue delivers optimized results for this specific requirement.
Explore all tools that specialize in generate unit tests. This domain focus ensures Continue delivers optimized results for this specific requirement.
Uses LanceDB to create a local vector database of the repository, enabling contextually aware answers.
Allows users to write TypeScript functions to pull in context from JIRA, GitHub, or internal documentation.
Configure specific models for different tasks (e.g., GPT-4 for chat, StarCoder for tab-autocomplete).
User-defined shortcuts (e.g., /test, /share) that trigger specific LLM workflows.
Syncs configurations and custom prompts across VS Code and JetBrains environments.
Automatically pulls in terminal output to debug errors or generate shell commands.
A toggle that restricts all AI traffic to local endpoints (e.g., 127.0.0.1:11434).
Install the Continue extension from the VS Code Marketplace or JetBrains Plugin Store.
Open the Continue side-bar by clicking the 'C' icon in the Activity Bar.
Select a model provider (e.g., Anthropic, OpenAI, or Local Ollama) in the setup wizard.
Configure your API keys or local endpoint URLs in the provided input fields.
Allow Continue to index your local codebase for RAG-based context retrieval.
Use Cmd/Ctrl + L to start a chat session with the codebase context.
Use Cmd/Ctrl + I to trigger the inline 'Edit' mode for direct code transformations.
Customize your .continue/config.json to add specific slash commands or context providers.
Connect to a corporate 'Continue Hub' if using the Enterprise/Teams version.
Verify the tab-autocomplete functionality by typing code in any supported file type.
All Set
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Verified feedback from other users.
"Users praise the flexibility to use local models and the deep integration with IDE shortcuts, though some note the configuration can be complex for beginners."
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