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Why it matters: JetBrains AI Assistant is not bundled or enabled by default; users must install the plugin, have a JetBrains AI Service license, and explicitly accept JetBrains AI terms before it can access code.
Available from: AI Pro Individual
Why it matters: It is limited to the JetBrains IDE ecosystem, so teams using VS Code, Neovim, Sublime Text, or browser-based development environments will not get the same native plugin experience.
Available from: AI Pro Individual
Why it matters: Cloud usage is quota-based: AI Free includes 3 AI Credits per 30 days, AI Pro includes 10 individual or 20 organization credits, and AI Ultimate includes 35 individual or 70 organization credits, so heavy agent or chat usage may require top-ups or a higher tier.
Available from: AI Pro Individual
Why it matters: Advanced workflows such as agent mode, multi-file edits, terminal command execution, and generated tests still require careful developer review before code is merged.
Available from: AI Pro Individual
JetBrains AI Assistant is used to bring AI coding help directly into JetBrains IDEs. The documented features include code completion for single lines and entire blocks, next edit suggestions, AI Chat, agent mode, context management, and response processing. In practice, developers can ask questions about a project, generate or revise code, create tests, explain unfamiliar code, draft commit messages, and apply suggested changes without leaving the IDE.
JetBrains AI Assistant has a free tier, but the broader product is paid and quota-based. The supplied JetBrains AI plan data lists AI Free at $0 with 3 AI Credits per 30 days, AI Pro for individuals at $10 USD per 30 days with 10 AI Credits, and AI Ultimate for individuals at $30 USD per 30 days with 35 AI Credits. Organization plans are listed at $20 USD per seat per 30 days for AI Pro and $60 USD per seat per 30 days for AI Ultimate.
JetBrains documentation says AI Assistant supports cloud-based LLMs and lets users select preferred models in AI Chat from providers such as Google Gemini, OpenAI, and Anthropic. It also states that the plugin is not active and will not have access to code unless the user installs it, has a JetBrains AI Service license, and gives explicit consent to the relevant JetBrains terms. Organizations should still review current JetBrains documentation, plan entitlements, provider configuration, and local model options before enabling it on sensitive repositories.
The scraped JetBrains documentation says the AI Assistant plugin is compatible with IntelliJ IDEA and almost all other JetBrains IDEs. The supplied tool data identifies support across IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, CLion, PhpStorm, RubyMine, DataGrip, DataSpell, Aqua, and related products. This makes it a strong fit for teams that already use several JetBrains IDEs across backend, frontend, data, database, and systems development.
Compared to GitHub Copilot, JetBrains AI Assistant is narrower in editor coverage but deeper for teams working inside JetBrains IDEs. Copilot is usually a better fit for mixed-editor teams that need VS Code, JetBrains, Neovim, and other environments, while JetBrains AI Assistant is stronger when native IDE context, inspections, navigation, and refactoring are central to the workflow. Compared to Cursor, JetBrains AI Assistant is better for teams that do not want to move away from JetBrains IDEs, while Cursor is better for users who want an AI-first editor experience.
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Last verified March 2026