JetBrains AI Assistant

JetBrains AI Assistant is a collection of AI-powered features and coding agents integrated into JetBrains IDEs. It brings context-aware chat, code generation and completion, next edit suggestions, code explanations, refactoring help, and multi-file agents into the development environment. Developers can use JetBrains AI subscriptions, provider accounts, their own API keys, local models, or external ACP-compatible agents, depending on the workflow.

✨ Key Features

• Context-aware AI Chat — Ask questions about the current file, selected code, project structure, and other attached context.
• Cloud code completion — Autocomplete lines, blocks, or functions using project context.
• Next edit suggestions — Suggest likely follow-up changes while writing or modifying code.
• In-editor generation and editing — Generate or update code from natural-language instructions directly in the editor.
• Code explanations and improvement ideas — Understand existing logic, identify potential issues, and request suggested improvements.
• Refactoring assistance — Use AI help for rename refactoring, with developer review required.
• Routine development automation — Generate documentation, unit tests, commit messages, pull-request summaries, and other development text.
• Coding agents — Delegate multi-step tasks that inspect and edit files, run commands, and report changes.
• Integrated agents — Use Junie, Claude Agent, Codex, GitHub Copilot, or supported external ACP agents from AI Chat where available.
• Flexible model connections — Use JetBrains AI, third-party providers, OpenAI or Anthropic BYOK, local APIs such as Ollama and LM Studio, or supported on-premises deployments.

💳 Pricing

• AI Free — 3 AI Credits per 30 days in supported IDEs/regions; no top-ups. AI subscription and IDE licensing are separate.
• 30-day AI Pro trial — Current page offers a free trial. Documentation lists 10 trial credits for individuals and 20 for organizations; eligibility depends on the account and IDE.
• Individual AI Pro — US$10/user/month paid monthly, or US$100/user/year; 10 credits per 30 days.
• Individual AI Ultimate — US$30/user/month paid monthly, or US$300/user/year; 35 credits per 30 days.
• Organization AI Pro — US$20/user/month paid monthly, or US$200/user/year; 20 credits per 30 days.
• Organization AI Ultimate — US$60/user/month paid monthly, or US$600/user/year; 70 credits per 30 days.
• AI Enterprise — US$720/user/year on the annual page; the monthly view says US$60/user/month billed annually. It belongs to IDE Services, with final scope/terms confirmed through sales.
• Credits and models — Purchased top-ups last 12 months; ordinary per-user monthly quotas reset. Organizations migrated to JetBrains Central use a shared pool with different expiry rules. Supported BYOK, local-model and ACP workflows may not require a JetBrains AI subscription; third-party model costs remain separate.
• Eligibility — Figures describe the reviewed US-dollar account types; taxes, territories and IDE restrictions apply. AI Free/Ultimate and top-ups currently have Mainland China restrictions in the documentation.

⚖️ Alternatives Compared

🎯 Use Cases

• Understand an unfamiliar repository — Ask questions about files, symbols, dependencies, and project structure with relevant context attached.
• Implement a small feature — Describe the desired behavior and use in-editor generation, then inspect and test the proposed code.
• Refactor safely — Ask for rename or related changes across code while keeping review and validation in the IDE.
• Fix a bug — Provide the failing code or error context and use chat or an agent to investigate candidate changes.
• Write tests and documentation — Generate unit-test starting points, comments, documentation, commit messages, or pull-request summaries.
• Delegate a multi-file task — Give Junie or another available agent a bounded task, review its plan and edits, and run the project checks.
• Work with a preferred model — Connect a supported provider, BYOK credential, or local model when the feature and IDE support it.
• Standardize team development — Use enterprise controls, data settings, AI policies, and organization administration where included in the plan.