description JetBrains AI Assistant (Self-Hosted) Overview
As JetBrains continues to push local AI capabilities, utilizing their official self-hosted or local endpoint configurations within the AI Assistant plugin is the most future-proof route. This method ensures the AI features are deeply integrated into the IDE's core workflows, providing a seamless experience that respects local data boundaries when configured correctly.
help JetBrains AI Assistant (Self-Hosted) FAQ
Can JetBrains AI Assistant use a local AI model?
JetBrains AI Assistant can be configured with supported local model providers in some IDE and plugin versions, including services such as Ollama. The exact features depend on the JetBrains product, plugin version, and model endpoint.
Does a self-hosted JetBrains AI setup keep source code off JetBrains servers?
Using a local or self-hosted endpoint can keep the model request inside the organization's infrastructure, but the data path must be checked for each enabled feature. Chat, code completion, and cloud-backed services may not all use the same provider.
Which JetBrains IDEs can use AI Assistant?
AI Assistant is integrated into JetBrains IDEs such as IntelliJ IDEA, PyCharm, and WebStorm. Availability can vary by IDE edition, plugin version, account plan, and whether the feature is connected to a local model.
Is JetBrains AI Assistant the same as GitHub Copilot?
No, JetBrains AI Assistant is JetBrains' own IDE-integrated assistant, while GitHub Copilot is GitHub's coding product. Both can provide code suggestions, but their model hosting, licensing, controls, and IDE integrations differ.
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