The full review
What is JetBrains AI?
JetBrains AI is not a standalone editor. It is the AI layer built into JetBrains IDEs, switched on by finding the AI Chat icon in the right-hand menu of IntelliJ IDEA, PyCharm, WebStorm, GoLand, PhpStorm, Rider, RubyMine, or Android Studio and clicking Install Plugin.
The bundle covers in-editor code completion, an AI chat with configurable models and autonomy, and coding agents working against the project your IDE already indexed. It sells as four plans, AI Free, AI Pro, AI Ultimate, and AI Enterprise, separated both by an AI Credit allowance per 30 days, starting at 3 AI Credits on AI Free, and by which features each tier unlocks.
Junie and an open bench of agents
Junie is the coding agent JetBrains builds itself, and it behaves like something that read your repository, not just your prompt. The vendor describes it as understanding the structure, logic, and relationships in your code, then proposing an execution plan before editing. Code mode has Junie write and test changes; ask mode keeps it planning. Living in the IDE, it applies the same semantic inspections you trust and can run tests after a change.
Claude Agent and Codex are included in the JetBrains AI subscription too, and outside agents connect over ACP without one. A skills manager scopes agent skills, while Model Context Protocol support wires agents to APIs, databases, and file systems.
Completion that never spends a credit
The quiet workhorse is the Tab key. JetBrains AI offers in-editor completion and Next Edit Suggestions ranging from single lines to edits spanning entire files, advertised as unlimited, powered by models JetBrains tailors itself, and delivered under 200 milliseconds for most use cases at zero AI Credit usage. Your paid quota funds agent work rather than keystrokes.
Around that sit the chores that eat a working day: commit messages, error and exception explanations, Git conflict resolution, inline documentation, unit test generation, and reviews of uncommitted changes.
Bring your own models and keys
Model flexibility is the argument JetBrains leans on hardest. Through JetBrains AI you reach third-party cloud models from OpenAI, Anthropic, Google, and xAI; bring your own key covers OpenAI and Anthropic; local models run via OpenAI-compatible APIs including Ollama and LM Studio. Organizations add on-premises LLMs through Hugging Face and company-wide keys for Azure OpenAI, Amazon Bedrock, and Google Vertex AI. JetBrains states this open ecosystem exists to avoid vendor lock-in.
How credits shape each plan
AI Free suits developers who mainly want IDE-native completion beside their own models. AI Pro targets regular AI-enhanced workflows with headroom for occasional agent use; AI Ultimate carries the larger quota JetBrains recommends for anyone using Junie regularly. Organization plans keep those names, and top-up AI Credits are shared across the team.
Two details soften the metering: credits top up in any amount and stay valid twelve months, and a 30-day AI Pro trial runs across supported products. AI Pro also comes folded into the All Products Pack and dotUltimate bundles.
Governance and data handling
AI Enterprise sits inside IDE Services, where administrators get on-premises, cloud, and hybrid deployment, group access management with SSO and SCIM, AI audit logs, and an organization-level switch to disable AI outright. The comparison table also lists zero data retention, exclusion of content from training, and file-level exclusion via .aiignore. JetBrains reports SOC 2 Type 2 certification and says data sharing stays optional, used solely to improve its tools and train JetBrains-owned models like Mellum.
Who should choose JetBrains AI
If your team already works in IntelliJ IDEA, Rider, or PyCharm, this is the least disruptive route to agentic coding: JetBrains AI inherits the project index, refactorings, and inspections rather than inferring them from raw text. It fits developers wanting fast unlimited completion at no credit cost plus agent help on demand, and .NET shops on dotUltimate get AI Pro bundled. Verify coverage first: Junie needs IntelliJ IDEA Ultimate, and PyCharm users a Pro subscription. JetBrains AI is a poor fit for teams standardized on VS Code, since the availability row covers only JetBrains IDEs, ReSharper, and Android Studio, and heavy daily agent users should budget carefully, since credit metering makes monthly spend less predictable than a flat unlimited plan.
Strengths
- Deepest possible IDE integration — leverages JetBrains' code index and PSI for genuinely project-aware completion, chat, and refactoring
- Junie autonomous agent handles multi-step tasks (features, bug fixes, tests) with plan-execute-verify flow
- Generous free tier plus local-model (Ollama, LM Studio) and BYOK support that bypass credit spend
- AI Pro is bundled at no extra cost with the All Products Pack, adding real value for existing subscribers
Watch out for
- Credit-metered pricing is opaque and unpredictable — heavy Junie use can exhaust Pro's 10 credits in about a week
- Cloud features are quota-gated; power users report spending $40+/mo on top-ups on top of the subscription
- Most compelling only inside JetBrains IDEs; the standalone/VS Code story lags dedicated tools
- Enterprise pricing is quote-only, and per-request credit consumption is hard to forecast
Key features
| Feature | What it does |
|---|
| Junie autonomous agent | Plans and executes multi-step coding tasks across a project, runs verification, and presents diffs for review; also available as an LLM-agnostic CLI (beta) with BYOK. |
| Context-aware chat and completion | Inline and multiline code completion plus chat that draws on the IDE's full project understanding, symbols, and open files. |
| Multi-model access | Switch between frontier cloud models (GPT, Claude, Gemini) or run local models via Ollama / LM Studio to keep code on-device. |
| Cross-IDE coverage | Works across the JetBrains IDE family (v2025.1+) with a unified subscription; a VS Code extension is also available. |
How JetBrains AI compares
| Alternative | How it differs |
|---|
| GitHub Copilot | Flat-rate ($10/mo) IDE plugin that also runs inside JetBrains; simpler pricing but less native project awareness than Junie. |
| Cursor | Standalone AI-first editor with strong agent mode; better raw agentic UX but requires leaving the JetBrains ecosystem. |
| Tabnine | Privacy-focused IDE assistant with strong on-prem/self-hosted options; weaker autonomous-agent capabilities. |
Frequently asked questions
Is there a free version of JetBrains AI?
Yes. AI Free launched in early 2026 and includes 3 AI credits per 30 days, unlimited local code completion, context-aware chat, and local-model support (Ollama, LM Studio). It has no top-up credits, so heavier cloud use requires a paid plan.
How do AI credits work and how much does Junie really cost?
Each AI credit equals $1 USD and meters cloud AI usage — roughly 10 chat generations, 40 editor generations, or ~280 doc-writing requests per credit. Junie's agentic tasks burn credits fast; Pro's 10 monthly credits can run out in about a week under heavy use, pushing power users to top-ups or BYOK via Junie CLI.
JetBrains AI ratings on other platforms
Independent user ratings from third-party review sites, linked here for transparency.
These are not our editorial score, are captured on the date shown, and may have changed since.