JetBrains AI Assistant
JetBrains AI Assistant adds context-aware code completion, AI chat, and code generation inside JetBrains IDEs, using JetBrains models such as Mellum plus optional cloud features, with an AI Free tier that includes unlimited completion and limited cloud credits.
Overview
JetBrains AI Assistant is built into JetBrains IDEs as a set of developer-facing features rather than a separate chatbot. It provides code completion that can autocomplete single lines, blocks, or even entire functions based on project context, and JetBrains documentation notes the output aims to match your style and naming conventions. Completion can also appear in places like AI Chat and commit messages, so the same assistance applies across common editing tasks.
For interactive help, the assistant offers context-aware chat inside the IDE, and the JetBrains plugin listing highlights Mellum as the engine behind unlimited code completion. JetBrains offers subscription tiers, including AI Free and higher tiers such as AI Pro and AI Ultimate, with licensing guidance that AI Free includes unlimited code completion and local AI support plus a small quota of cloud credits for occasional use. That structure makes JetBrains AI a practical option for teams that want predictable IDE-native assistance, with the ability to scale up cloud usage as needed.
When evaluating fit, focus on how well the assistant respects your repo conventions, whether your IDE versions support the tier you want, and how you plan to govern data sharing when cloud features are enabled. For many developers, the main benefit is fewer context switches because assistance stays inside the editor where code navigation and refactoring already happen.
Key features
- Unlimited code completion: Mellum powered suggestions inside the IDE for fast autocomplete that adapts to your project context
- Cloud completion mode: Autocomplete lines blocks and whole functions using AI Assistant when cloud credits are available
- Context-aware AI chat: Ask questions about code and get answers that reflect open files and the current project structure
- Commit message help: Generate or refine commit messages using IDE context so summaries stay aligned with the actual diff
- Test generation support: Produce starter unit tests and edge cases from selected code to speed coverage and reduce regressions
- Local AI support: AI Free includes local model support so some assistance can run without sending code to cloud services
- Settings control: Configure where completion appears so teams can balance helpfulness with noise during editing sessions
- IDE integration: Works across many JetBrains IDEs so teams keep familiar workflows while adding consistent AI assistance
Best for
- Inline coding flow: Accept completions for repetitive patterns so you can focus on domain logic and architecture decisions
- Refactor support: Ask the chat to explain a class or function then implement changes with IDE refactor tools and verify quickly
- Test coverage boost: Generate starter tests for critical paths then adjust assertions to match your business rules and data shapes
- Commit hygiene: Draft concise commit messages that reflect the actual diff and reduce review friction in pull requests during merges
- Learning a codebase: Use chat with open file context to understand unfamiliar modules and navigation paths faster during onboarding
- Bug fixing: Request a minimal change suggestion then step through in debugger to confirm behavior matches the intent in production
- Pair programming: Use the assistant as a second opinion on API design and edge cases while you implement features under time pressure
- Team consistency: Encourage shared patterns by letting the assistant follow project context and naming conventions closely
Capabilities
Context completion
Autocompletes code from lines to larger blocks using project context and IDE awareness. Designed to follow naming and style conventions so suggestions fit the surrounding code and reduce manual edits.
Project aware chat
Ask questions about selected code and open files, get explanations, and request code changes directly in the IDE. This reduces context switching and keeps guidance close to where you apply edits.
Local AI support
AI Free includes local AI support so certain assistance can run with local models. This can be useful for sensitive projects when you want to minimize cloud sharing while keeping IDE help.
Commits and tests
Use AI assistance for related workflow tasks such as drafting commit messages and generating starter unit tests. This helps keep reviews cleaner and speeds up routine development steps.
Frequently Asked Questions
How does JetBrains AI Assistant pricing start?
JetBrains provides an AI Free tier that includes unlimited code completion and local AI support, plus a small cloud credit quota. Paid tiers such as AI Pro and AI Ultimate add more cloud capacity and team-oriented options.
How is data handled for privacy sensitive code?
Local AI support can reduce the need to send code to cloud services for some tasks. If you enable cloud features, review JetBrains documentation and your org policy for what content is transmitted and how access is governed.
What integrations or APIs does it rely on?
JetBrains AI Assistant runs inside JetBrains IDEs and integrates with editor context rather than exposing a separate public API. Teams should validate IDE version support, plugin availability, and how authentication works in their environment.
What setup and support should teams expect?
Setup is usually installing or enabling the plugin in a supported JetBrains IDE, then choosing AI tier and any model settings. JetBrains provides product documentation, and higher tiers typically align with broader subscription support channels.
How does it compare to standalone AI editors?
JetBrains AI Assistant is IDE-native and designed to enhance existing JetBrains workflows. If you want an all-in-one AI editor, compare the value of staying in your IDE with integrated refactors versus switching to a separate agentic editor.
