JetBrains AI Overview
This JetBrains AI review covers the AI layer built directly into the world’s most popular professional IDEs in 2026 — and why developers who live in IntelliJ IDEA, PyCharm, or WebStorm increasingly see no reason to look elsewhere. The AI coding assistant market has split into two philosophies: editor-agnostic tools that follow you anywhere, and deeply integrated platforms that understand your code better because they live where your code lives. JetBrains AI is the purest expression of the second philosophy, and in 2026 it has matured into a genuine platform with an autonomous agent, multi-model support, and an open protocol for third-party agents.
What is JetBrains AI?
JetBrains AI is the AI platform spanning JetBrains’ IDE family — IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, PhpStorm, and the rest. It has two main faces. The AI Assistant provides context-aware code completion, AI chat, and inline code transformations as you work. Junie is the autonomous coding agent: give it a task and it writes and edits code, refactors, runs terminal and version-control commands, and executes tests to verify its own work. Junie ships as an IDE plugin (generally available) and a CLI that entered beta in March 2026 with custom slash commands, subagents, MCP servers, and Agent Skills.
The strategic choice that defines the platform is model flexibility. JetBrains AI ships with Mellum, JetBrains’ own code model trained specifically for code tasks, but also supports OpenAI, Anthropic, Google, xAI, and AWS Bedrock models. You can bring your own OpenAI or Anthropic API keys, run fully local models via Ollama or LM Studio for maximum privacy, or point at on-premises LLMs via Hugging Face. The 2026 launch of the Agent Client Protocol (ACP) goes further still: third-party agents like Claude, Codex, and Gemini CLI can now run natively inside JetBrains IDEs, making the IDE an agent host rather than a walled garden.
Code completion and chat: why IDE-native matters
The AI Assistant’s completion engine draws on the IDE’s semantic understanding of your project — its indexes of your types, call graph, and dependencies. In practice, this means completions are structurally sound rather than plausible-looking guesses: it completes method chains that actually exist, respects your project’s generics and nullability annotations, and suggests refactorings consistent with your codebase’s patterns. Next Edit Suggestions take this further by predicting the change you are about to make and offering it proactively — rename a method and it offers to update the call sites, change a signature and it drafts the fixes. These micro-interactions compound into meaningful time savings across a workday.
Chat is context-aware of open files, selections, and the current diff, and it can explain unfamiliar code, generate tests, or draft documentation. Inline transformations let you select a block and describe the change in natural language — “convert this to use the new repository API” — with the edit applied directly. Because the assistant shares the IDE’s understanding of build state and diagnostics, its suggestions account for compilation errors and test failures rather than ignoring them.
Junie: the autonomous agent
Junie is where JetBrains AI becomes agentic. Describe a task — “migrate this module to the new API and update the tests,” “implement the checkout flow per this ticket” — and Junie plans the work, edits multiple files, runs the test suite, reads failures, and iterates. It operates the IDE’s own tooling: terminal, debugger, version control, and test runners. The CLI beta extends this to terminal-first workflows with scriptable slash commands and subagents for parallel task decomposition.
Agent Skills via SKILL.md files and MCP server support make Junie customizable for team workflows: encode your team’s conventions once, and the agent follows them. In our assessment this is where JetBrains AI pulls ahead of simpler assistants — the agent isn’t guessing at your project structure, it’s reading the same indexes your IDE uses.
Pricing: credits, not flat rate
JetBrains moved AI pricing to a credit model, and this is the part to read carefully. AI Free ($0) includes code completion, 3 AI credits per 30 days, access to Junie/Claude Agent/Codex surfaces, and a 30-day AI Pro trial. AI Pro is $10/user/month ($100/year) with 10 AI credits, unlimited code completion, unlimited Next Edit Suggestions, and AI chat. AI Ultimate ($30/user/month, $300/year) raises the allowance to 35 credits with everything in Pro. AI Enterprise ($60/user/month, billed yearly at $720) adds enterprise security, custom integrations, and org-wide AI management. AI Pro is also bundled in the All Products Pack and dotUltimate subscriptions — check your existing JetBrains subscription before buying separately.
The honest caveat: credits meter agentic usage, and Junie burns quota fast. A developer who delegates several multi-step tasks a day can exhaust Pro’s 10 credits, at which point Ultimate or BYOK becomes the practical answer. Compared with GitHub Copilot‘s flat rate, budgeting takes more thought — but you gain model choice, local-model privacy, and deeper code understanding in return. Teams should pilot on Pro, measure credit burn for two weeks, then choose the tier.
How it compares
Against Cursor, JetBrains AI wins on depth of code understanding and loses on editor agnosticism — Cursor is a VS Code fork, while JetBrains AI exists only inside JetBrains IDEs. Against GitHub Copilot, the trade is flexibility and agentic capability versus Copilot’s simplicity and predictable flat pricing. Against Windsurf, JetBrains AI offers a more mature IDE foundation with ACP openness. For teams already standardized on IntelliJ or PyCharm, JetBrains AI is the path of least resistance and frequently the most capable option. Browse more options in our AI Developer Tools category.
Verdict
JetBrains AI is the most deeply integrated AI coding platform available to JetBrains IDE users in 2026. Junie is a genuinely useful agent rather than a demo, Mellum plus multi-model support avoids lock-in, and BYOK and local-model options are unmatched for privacy-conscious teams. The credit model demands attention for heavy users, and it is useless outside the JetBrains ecosystem — but if your team lives in these IDEs, it earns its place with a 4.4/5.
Key Features
- AI Assistant: context-aware code completion, chat, and inline transformations inside JetBrains IDEs
- Junie: autonomous coding agent that writes code, refactors, runs terminals, VCS and tests
- Multi-model choice: JetBrains' own Mellum code model plus OpenAI, Anthropic, Google, xAI and AWS Bedrock
- Bring your own keys (OpenAI/Anthropic), local models via Ollama/LM Studio, on-premises LLMs
- Agent Client Protocol (ACP): run third-party agents like Claude, Codex and Gemini CLI inside JetBrains IDEs
- Next Edit Suggestions that predict your next code change as you type
- MCP server support and Agent Skills (SKILL.md) for customizable agent workflows
- Enterprise deployment: on-premises, cloud or hybrid with org-wide AI management
JetBrains AI Pricing
| Plan | Price |
|---|---|
| AI Free | $0 — 3 AI credits per 30 days, code completion, 30-day Pro trial |
| AI Pro | $10/user/month ($100/year) — 10 AI credits, unlimited completion and chat |
| AI Ultimate | $30/user/month ($300/year) — 35 AI credits, everything in Pro |
| AI Enterprise | $60/user/month billed yearly — SSO, custom integrations, org-wide management |
Pricing checked on October 4, 2026 — always confirm on the official site.
JetBrains AI Pros & Cons
✓ Pros
- Deepest IDE-native code understanding — built on the IDE's own indexing, not a bolt-on sidebar
- Model flexibility: BYOK, local models and ACP mean no vendor lock-in
- Junie agent handles multi-step tasks: refactor, test and commit loops
- Free tier with a 30-day Pro trial to evaluate properly
✕ Cons
- Credit allowances (3–35 per 30 days) can constrain heavy agentic use; Junie burns quota fast
- Only useful inside JetBrains IDEs — no value for VS Code or Cursor users
- Credit-based pricing adds metering complexity versus flat-rate rivals like GitHub Copilot
- Junie CLI still in beta, less polished than the IDE plugin
JetBrains AI FAQs
Is JetBrains AI free?
What is Junie?
Which models does JetBrains AI support?
JetBrains AI vs GitHub Copilot: which is better?
Does JetBrains AI work outside JetBrains IDEs?
Best JetBrains AI Alternatives
Pinecone
★★★★☆Pinecone reviewed for 2026 — the serverless vector database for RAG and AI apps. Pricing from free, real pros and cons, and when to choose it.
OpenHands
★★★★☆OpenHands reviewed for 2026 — the open-source AI coding agent with 89k+ stars. Free self-hosting, model-agnostic design, honest pros, cons, and verdict.
Builder.io
★★★★☆Builder.io reviewed for 2026 — Fusion's AI visual IDE writes framework-native code into your own repo. Features, pricing from $30/user/mo, honest pros and cons.
Replit
★★★★☆Replit reviewed for 2026 — the AI Agent builds and deploys real apps from prompts, but credit pricing can surprise. Features, plans, and honest verdict.