Master JetBrains AI Assistant with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make JetBrains AI Assistant powerful for ai coding workflows.
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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Tutorial updated March 2026