Continue

Continue is a powerful, open-source AI coding assistant designed for developers who value control, privacy, and flexibility in their AI-powered workflow. Whether you're building secure enterprise applications, experimenting with local LLMs via Ollama, or integrating custom models into your IDE, Continue delivers real-time assistance directly inside VS Code or JetBrains IDEs — all without locking you into a vendor’s cloud or pricing model. Learn more at Continue.

What is Continue?

Continue is a developer-first, extensible AI coding platform that operates entirely as an IDE extension—no standalone app or web interface required. Unlike closed commercial tools, it’s built from the ground up to be model-agnostic: you configure any LLM (e.g., Claude via Anthropic API, GPT-4 via OpenAI, or Llama 3 via Ollama) using your own credentials, enabling full transparency and data sovereignty. Its architecture prioritizes inline, context-aware code completions, natural-language chat within the editor, and non-destructive edit suggestions—all while running locally when paired with self-hosted models. This makes Continue uniquely suited for teams and individuals who refuse to trade privacy for convenience or want to avoid vendor lock-in in AI-assisted development.

Key Features

• Model Agnosticism: Seamlessly connect cloud APIs (OpenAI, Anthropic, Google Gemini) or local runtimes (Ollama, LM Studio, text-generation-webui) with minimal configuration—no model retraining or proprietary adapters needed.
• Inline Code Completions: Get intelligent, context-sensitive suggestions as you type—powered by your chosen LLM and enriched with current file, project structure, and Git history.
• In-Editor Chat Panel: Launch a persistent, scrollable chat interface inside VS Code or JetBrains to ask questions about your codebase, debug logic, refactor functions, or generate documentation—all without switching contexts.
• Auto-Edit Commands: Use natural language prompts like “add input validation to this function” or “convert this to TypeScript” to trigger safe, diff-based edits with preview and approval before application.
• Privacy-First Architecture: No code leaves your machine unless explicitly routed through your configured API; local models run entirely offline, and no telemetry or usage analytics are collected by default.

Who Should Use Continue?

Continue is ideal for mid-to-senior software engineers, DevOps practitioners, and security-conscious developers who require fine-grained control over AI tooling—especially those working in regulated industries (finance, healthcare, government) or on sensitive internal codebases. It also appeals to AI researchers, open-source contributors, and hobbyists exploring local LLM capabilities on consumer hardware. While beginners can use it, some familiarity with API keys, environment variables, and basic terminal commands (e.g., installing Ollama) is recommended for optimal setup.

Pricing

As of 2026, Continue remains completely free and open-source under the MIT License—no paid tiers, subscriptions, or feature gating. There is no “free tier” because *all* functionality is available to everyone, forever. You only pay for what you already use: your cloud LLM provider’s API costs (if applicable) or your local hardware resources. The project accepts voluntary GitHub Sponsors contributions to support maintenance, but these are entirely optional and do not unlock features.

Pros and Cons

Pros	Cons
Completely free and open-source with MIT licensing	Requires manual API key setup and model configuration—no one-click onboarding
Full support for local LLMs (Ollama, etc.), ensuring offline, private coding assistance	UI polish and UX consistency lag behind commercial alternatives like Cursor or GitHub Copilot
Unmatched flexibility: bring your own model, customize prompts, extend with Python plugins	No centralized account management or team admin console—self-hosted and self-managed by design

Bottom Line

Continue is the go-to choice for developers who prioritize autonomy, privacy, and technical depth over turnkey convenience. If you’re comfortable configuring APIs, value open tooling, and want AI assistance that respects your infrastructure and data policies, Continue delivers unmatched power and freedom. Compared to Cursor (which offers smoother UX but requires a subscription and cloud dependency) or GitHub Copilot (which lacks local model support and extensibility), Continue shines where control matters most—making it indispensable for privacy-focused teams, open-source maintainers, and AI-forward engineering organizations building the next generation of responsible developer tools.