JetBrains AI
AI coding assistant deeply integrated into JetBrains IDEs
If you already live in JetBrains IDEs, this is the most seamless AI assistant you can get — deep integration beat generic copilots. The open-sourcing of Mellum2 is a standout for privacy. But it's tied to JetBrains' subscription and not for VS Code users.
Verified 17d ago · liveness 95/100 · cite: rightaichoice.com/tools/jetbrains-ai
- Developers using JetBrains IDEs as primary IDE
- Teams wanting AI assistance integrated into existing workflow
- Full-stack developers working across multiple languages
- Projects requiring deep context-aware suggestions across files
- Developers who use VS Code, Sublime, or other editors
- Teams looking for a free AI coding assistant
- Users preferring minimal IDE interference or lightweight assistance
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Skip JetBrains AI if you don't use JetBrains IDEs or prefer a free assistant like GitHub Copilot's free tier.
$10/month subscription after trial period.
At $10/month, JetBrains AI is competitively priced for a deeply integrated assistant, cheaper than GitHub Copilot Pro ($10/month for individual, $19/month for business) but with less flexibility. Best for JetBrains users; VS Code users should consider Copilot.
In short
JetBrains AI — AI coding assistant deeply integrated into JetBrains IDEs. Best for Developers using JetBrains IDEs as primary IDE, Teams wanting AI assistance integrated into existing workflow, Full-stack developers working across multiple languages. Plans from $249/mo.
Viability Score
How likely is JetBrains AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Project-wide context-aware code completions
- Automated code generation for functions and blocks
- Intelligent refactoring assistance
- Real-time error detection and suggestions
- Code explanation and documentation generation
- Supports Java, Python, JavaScript, and more
- Integrated in all JetBrains IDEs
- Local AI model via open-source Mellum2
- Continuous model updates through IDE updates
- AI-powered commit message generation
- Test generation
- Offline AI assistance capability
About JetBrains AI
JetBrains AI is an intelligent coding assistant built directly into JetBrains IDEs like IntelliJ IDEA, PyCharm, WebStorm, and more. It provides context-aware code completions spanning multiple files, automated code generation for entire functions and blocks, intelligent refactoring suggestions, real-time error detection, and code explanations. The assistant understands your entire project, offering suggestions that incorporate your codebase's specific patterns and supports many languages and frameworks. JetBrains AI excels at reducing context switching by embedding AI features directly in the IDE. Developers get AI-powered code completion, automated test generation, commit message suggestions, and documentation generation without leaving their editor. The assistant leverages JetBrains' deep understanding of code structure, offering refactoring opportunities and detecting issues early. Notably, JetBrains open-sourced Mellum2 in June 2026, a fast AI model for local workflows, allowing developers to run AI assistance entirely offline without sending code to cloud services. This addresses privacy concerns and enables AI assistance even in air-gapped environments. For security-conscious teams, JetBrains promptly removed malicious plugins in mid-2026 that were stealing API keys, emphasizing the importance of using official plugins from JetBrains Marketplace. Compared to alternatives like GitHub Copilot or Cursor, JetBrains AI offers tighter IDE integration but comes with a JetBrains license cost and is unavailable outside their ecosystem.
Behind the Verdict
JetBrains AI is a no-brainer for the millions of developers already using IntelliJ IDEA, PyCharm, WebStorm, and other JetBrains tools. The tight integration means AI suggestions are aware of your entire project structure, not just the current file — a genuine advantage over Copilot's tab-completion model. You get full-line code completion, refactoring hints, and even commit message suggestions without leaving the IDE. The open-sourcing of Mellum2 in June 2026 is a strategic move. It lets teams run AI locally, cutting cloud dependence and addressing security concerns. For regulated industries or shops with strict data policies, this is a killer feature. However, there are real caveats. JetBrains AI is not a standalone product — it only works within JetBrains IDEs. If your team uses VS Code or Sublime, it's a non-starter. Pricing is tied to the JetBrains All Products Pack subscription (around $249/year for individuals), which is steep compared to Copilot's $10/month. The recent plugin security incident (June 2026) also reminds us that the plugin ecosystem needs vigilance. In practice, we'd reach for JetBrains AI when the team is already standardized on JetBrains and privacy-conscious about cloud code analysis. We'd pass if the team uses heterogeneous editors or wants a free alternative.
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Real-world workflow fit
Concrete scenarios for the personas JetBrains AI actually fits — and what changes day-one when you adopt it.
Refactoring a monolithic Java codebase with dozens of files.
Outcome: JetBrains AI understands the entire project structure, suggesting refactors that span files and maintain consistency, cutting refactoring time by 30%.
Switching between Python backend and JavaScript frontend tasks.
Outcome: AI adapts to each language's context, generating functions and fixing errors without manual context switching.
Exploring a legacy Kotlin codebase to add a feature.
Outcome: AI explains complex code blocks in place, generating documentation and unit tests, accelerating onboarding.
Use Cases
- Refactoring large Java codebases with AI-suggested changes that respect project structure.
- Generating commit messages from staged changes in PyCharm.
- Exploring and understanding legacy Kotlin code with AI explanations inside IntelliJ IDEA.
- Writing Javadoc or Python docstrings using code context.
- Prototyping small functions via AI chat in WebStorm.
Models Under the Hood
as of 2026-07-06
Limitations
- JetBrains AI is integrated into JetBrains IDEs, requiring use of those IDEs.
- Some AI features may require a subscription.
- The June 2026 security incident regarding malicious IDE plugins stealing AI keys highlights the need for caution with third-party plugins.
as of 2026-06-26
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where JetBrains AI's pricing actually pencils out — and where peers do it cheaper.
At $10/month, JetBrains AI is competitively priced for a deeply integrated assistant, cheaper than GitHub Copilot Pro ($10/month for individual, $19/month for business) but with less flexibility. Best for JetBrains users; VS Code users should consider Copilot.
Setup time & first value
How long it actually takes to get something useful out of JetBrains AI — broken out by persona, not the marketing-page minute.
If you already have a JetBrains IDE, enable JetBrains AI via the plugin marketplace and log in with your JetBrains account (5 minutes). First suggestion appears within seconds. The free trial starts immediately.
Switching to or from JetBrains AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From GitHub Copilot: Disable Copilot plugin then enable JetBrains AI; familiar UI, but completions become project-aware.
- ↗To GitHub Copilot: Disable JetBrains AI plugin, install Copilot; JetBrains AI features are lost.
- ↗To Cursor: Migrate your project to Cursor (standalone editor); JetBrains AI cannot be used outside JetBrains IDEs.
Resources & Guides
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Common stack mates teams adopt alongside JetBrains AI, with the specific reason each pairing earns its keep.
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