JetBrains AI Review: IDE-Native AI Assistance
TL;DR: JetBrains AI Assistant is the most deeply integrated AI coding tool. It understands your project's AST, types, and dependencies. Best for developers already using JetBrains IDEs. Not worth switching IDEs for, but a must-have if you're already in the ecosystem.
Most AI coding tools sit on top of your editor like a browser extension that learned to type. They read the file in front of you, guess what comes next, and hope the guess compiles. JetBrains took a different bet. Its AI Assistant lives inside the same engine that already knows your variable types, your imports, and which functions call which.
For an Australian dev team, the practical question is simple. If your developers already pay for IntelliJ, PyCharm, or WebStorm, is the extra ten dollars a month worth it? And if they don't, is this reason enough to move everyone off VS Code?
The short answer: it earns its keep inside the JetBrains world and almost nowhere else. The tool's whole advantage comes from being wired into the IDE's understanding of your code, so suggestions tend to fit your project instead of fighting it. There's also an offline mode that keeps your code on your own machines, which matters if you handle client data or work under contract terms that forbid sending source to a cloud.
What follows is the detail behind that call: how the integration works, what the local-model option actually gives you, and where the tool comes up short.
What Is JetBrains AI?
JetBrains AI Assistant is built into JetBrains IDEs:
- AI Assistant, chat, completion, generation
- Local models, runs on your machine (privacy)
- Full AST awareness, understands code structure
- Multi-line completion, context-aware suggestions
- Test generation, creates tests from code
- Documentation, generates doc comments
Price: $10/mo (AI Assistant) | Bundled with the All Products Pack, though the cloud AI tiers sit on top of the IDE subscription rather than coming free with it (Source: JetBrains AI Assistant pricing 2026; JetBrains AI pricing review 2026)
IDE Integration Depth
JetBrains AI taps into everything the IDE already knows about your code:
- Type information, knows what every variable is
- Dependency graph, understands module relationships
- Refactoring engine, AI suggestions that actually compile
- Inspection results, factors in existing warnings
That's the payoff. Because the suggestions are built on the IDE's real model of your project, they're more likely to be correct and to compile on the first try. JetBrains has said it saw 23% fewer compilation errors in AI-generated code than Copilot, though that figure is a first-party claim with no published methodology, so treat it as the vendor's own number rather than an independent result.
Local Model Support
You can also run JetBrains AI against models hosted on your own hardware. The offline mode connects to locally running LLMs through Ollama and LM Studio:
- Models run on your hardware
- No code sent to cloud
- Works offline
- Supports model families such as Llama and Mistral, plus others that Ollama and LM Studio can run (Source: JetBrains, Supported models)
Local models handle simple completions fine. For heavier generation, the cloud models still pull ahead.
Pros and Cons
| Pros | Cons |
|---|---|
| Deepest IDE integration | Requires JetBrains IDE |
| AST-aware suggestions | $10/mo on top of IDE subscription |
| Local model support | Reportedly less accurate than Cursor/Copilot |
| Fewer compilation errors | Limited to JetBrains ecosystem |
| Good test generation | Slower development cycle |
Verdict
Score: 8.1/10
For JetBrains users, this is the AI tool to reach for. The tight link to the IDE's view of your code is what makes the suggestions land more often. If your team lives in IntelliJ, PyCharm, or WebStorm, add the AI Assistant. If you're on VS Code, Cursor or Copilot remain the better fit, and some hands-on reviewers rate them as the more accurate pair, though that's an editorial judgment rather than a benchmarked result.
*Published June 22, 2026 | JetBrains AI Assistant 2026.1 reportedly tested in IntelliJ IDEA 2026.1*