JetBrains AI Review, Pricing & Alternatives (2026)

JetBrains AI is JetBrains’ in-IDE AI service, publicly launched in December 2023 with AI Assistant in the 2023.3 releases of its commercial IDEs, ReSharper, and Fleet. It now combines IDE assistance, Junie, external agents, local models, provider connections, and enterprise administration. JetBrains says its platform supports more than 25 agents through the Agent Client Protocol and can connect to OpenAI, Google, Anthropic, and xAI services. It does not publish a separate AI user count or funding figure. The product’s main advantage is context inside established IDEs, where project structure, code navigation, inspections, refactoring, tests, and version control already meet. This positioning keeps AI close to familiar developer workflows while preserving existing IDE features and review practices for changes suggested or applied by the assistant.

A typical workflow begins with inline completion or next-edit suggestions, then moves to AI Chat for explanations, generated tests, documentation, commit messages, or refactoring proposals. Junie can inspect a project, produce an execution plan, edit files, run inspections, and run tests. Users can also install supported external agents, including Claude Agent, Codex, and Gemini CLI, or connect compatible tools through ACP using those tools’ authentication. JetBrains AI therefore covers small editor suggestions and delegated repository tasks. Local models, provider API keys, and OAuth connections can reduce reliance on JetBrains-hosted inference, while JetBrains Central gives organisations shared credit pools and administrative controls. The tradeoff is that users must choose among authentication paths, providers, agents, and quotas rather than following one uniform route for every task.

JetBrains AI uses several model sources rather than one fixed model. JetBrains says Mellum supports code completion and next-edit suggestions, while cloud options include models from OpenAI, Google, Anthropic, and xAI. Junie is JetBrains’ own coding agent, and ACP supports external agents inside compatible IDE versions. Recent releases and product direction in 2025 and 2026 added broader agent interoperability, JetBrains Air, and JetBrains Central administration. Availability depends on IDE version, region, plan, and authentication method. JetBrains says customers retain ownership of code, prompts, and company data, and says shared data is used to improve its tools and train its own models, such as Mellum, rather than being shared with third parties. Connecting outside providers still requires reviewing their separate terms and handling choices.

Current individual AI plans are AI Free at $0 per month, AI Pro at $10 per month, and AI Ultimate at $30 per month. JetBrains documents 3, 10, and 35 AI credits per 30 days respectively. Annual billing is $100 per year for Pro and $300 per year for Ultimate. Credits are consumed dynamically by cloud features, with one credit corresponding to $1 of local-currency value; purchased credits last 12 months. Organisations can use AI Enterprise through IDE Services, listed at $60 per user per month in the documentation, with quota details subject to change. IDE subscriptions and external provider charges remain separate. This structure offers a free entry point and expandable usage, but budgeting depends on task volume, model selection, top-ups, and whether teams use shared organisational resources.

JetBrains AI suits teams standardised on JetBrains IDEs, but it is less suitable for users wanting a standalone editor or one predictable unlimited agent bill. GitHub Copilot covers more editors and has a separate coding-assistant workflow. Cursor is a standalone AI editor with agent features, while Claude Code focuses on terminal-based repository work. JetBrains offers stronger IDE integration and more provider choices, although separate AI credits, IDE licenses, and external accounts complicate budgeting. Pick JetBrains AI when project navigation, inspections, refactoring, local models, or existing JetBrains deployments matter more than a dedicated agent workspace. Its broad integration can reduce context switching, while its layered pricing and availability rules require teams to verify supported IDE versions, territories, providers, and data policies before standardising.