Continue
Open-source AI code assistant for any IDE
About
Continue is the leading open-source AI code assistant that gives developers complete freedom over their AI setup. Unlike locked-down commercial tools, Continue is model-agnostic—you can connect any LLM provider (OpenAI, Anthropic, local Ollama models, or self-hosted deployments), customize every system prompt, and create custom slash commands that automate your specific workflows. With 22,000+ GitHub stars, it has the largest open-source community among AI coding assistants. Continue works in VS Code and JetBrains IDEs, providing code completions, AI chat, RAG-based documentation search, and a powerful slash command system that lets you define reusable AI workflows. Developers can configure Continue to pull context from project docs, API references, and internal wikis, making AI responses genuinely informed by team knowledge rather than generic training data. The self-hosted LLM support is ideal for teams with privacy requirements. Continue is completely free and open source—you pay only for the LLM API usage, which can be as cheap as free with local models. It is best for developers who want fine-grained control over their AI tools, teams that need AI integrated with internal documentation, and anyone who prefers open-source flexibility over polished commercial experiences. The trade-off is a steeper setup process and less out-of-the-box polish compared to Cursor or Copilot.
Key Features
- Code completion
- AI chat
- Custom slash commands
- Multi-model support
- RAG from docs
- Self-hosted LLM support
Deals, Discounts & How to Save
Maximize free tiers before subscribing—most AI editors have generous free plans. Students should always apply for education discounts (often 50%+ off). If you use multiple IDEs, choose an editor with a permissive free tier to avoid paying twice.
Pros
- Works with any LLM provider
- Fully customizable prompts and commands
- Open source, self-hostable
Cons
- Requires manual configuration
- Less polished out-of-the-box
- Smaller community than Cursor/Copilot
Pro Tips for Continue
Use code completion regularly—it becomes more accurate the more context it has about your coding patterns and project structure.
Configure ai chat in your project settings to match your team conventions—consistent configuration produces better results.
Combine custom slash commands with keyboard shortcuts to minimize context switching between thinking and coding.
Use multi-model support regularly—it becomes more accurate the more context it has about your coding patterns and project structure.
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