Open-source AI code assistant for VS Code and JetBrains — bring your own models, curate a shared block library, ship as an internal platform.
Open-source AI code assistant for VS Code and JetBrains — bring your own models, curate a shared block library, ship as an internal platform.
Continue is an open-source AI coding assistant designed as a customizable, team-shareable platform rather than a single vendor's product. It runs as an extension inside VS Code and JetBrains IDEs and provides chat, autocomplete, inline edits, and an agent mode over any model you plug in — OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek, Together, Groq, OpenRouter, Ollama, LM Studio, or a self-hosted vLLM/TGI endpoint. Rules, prompts, model configurations, and "blocks" (reusable slash commands, docs, MCP servers, prompts) live in a version-controlled hub so platform teams can curate a standardized experience and ship it out to every developer in the org.
In 2026 Continue leaned into being the OSS foundation for internal AI-coding platforms. Continue Hub is a registry where teams publish their own assistants; Continue for Teams adds SSO, centralized policies, usage analytics, and audit exports; and native MCP client support means every MCP server your team publishes is instantly available from every developer's IDE. Because the core is Apache 2.0, it is the obvious pick for enterprises that want AI coding assistance without sending code to a closed vendor, and for platform teams that want to shape prompts, retrieval, and tool access rather than accept a one-size-fits-all agent.
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Continue.dev is well-regarded by developers for its open-source transparency, model flexibility, and zero per-seat cost. Users consistently praise the ability to switch between cloud and local models from a single extension. Common positive feedback highlights the VS Code extension's responsiveness and the standards-as-code approach of Continuous AI for PR enforcement. Criticisms center on initial setup complexity compared to turnkey tools like Copilot, occasional latency with local Ollama models on consumer hardware, and the learning curve for writing effective custom markdown checks. Enterprise users in regulated industries value the local execution option for data residency compliance but note that Continuous AI's GitHub-only support limits adoption for teams on GitLab or Bitbucket.
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Continue, Inc. has launched 'Continuous AI' as a positioning and product line in 2026, framing the company around 'quality control for your software factory.' The flagship is source-controlled AI checks that run as native GitHub status checks on every pull request, with pre-built check templates including Anti-Slop, Code Security Review, and Reinventing the Wheel detection.
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