About JetBrains AI
I’ve spent a fair amount of time testing JetBrains AI, and I have to say, it’s a solid addition to their line of development tools. Integrated directly into JetBrains IDEs like IntelliJ IDEA, PyCharm, and WebStorm, it provides code completion, a chat interface for coding questions, and context-aware suggestions for refactoring and documentation. The way it combines traditional coding intelligence with modern language model capabilities is impressive. You can actually interact with your code, asking JetBrains AI to convert, optimise, or even write tests for snippets right from the editor, which feels like having a coding buddy at your side.
One of the standout features is the full-line and multi-line code completions. I found it particularly useful when working on larger projects where I needed to maintain a specific coding style or framework structure. The AI seems to grasp the context well, which is crucial when you’re knee-deep in code. The chat panel further enhances this experience, allowing for immediate questions and responses, although I did notice it sometimes struggled with more complex queries or niche coding questions, occasionally providing vague answers that needed refinement.
Now, let’s talk about pricing. For an active JetBrains IDE subscription, the AI add-on costs an additional $8.33 per month. While this isn’t exorbitant, it’s worth noting that you need to be committed to JetBrains’ ecosystem to get the most out of it. If you’re already a fan of their IDEs and rely heavily on them for coding, this cost might feel justified, but if you’re just dipping your toes into the waters of coding, it might be a bit of an investment.
In terms of who should and shouldn’t use JetBrains AI, I’d say it’s particularly suitable for professional developers who are already in the JetBrains ecosystem, as they’ll benefit from the deep integration and context-awareness. Beginners or those who use other IDEs might find it less appealing, especially since they would either need to switch to JetBrains’ tools or miss out on the benefits of the AI features entirely.
Our Review
Verified 11 May 2026Reviewed by Delv Editorial, Delv Team
When I first got my hands on JetBrains AI, I wasn’t sure what to expect. I mean, an AI assistant in an IDE? It felt like something out of a sci-fi film. But after putting it through its paces in IntelliJ IDEA, I realised it was more than just a gimmick. The integration is smooth, and the AI really does seem to understand the context of your project, which is a massive plus. I was working on a Java application at the time, and the full-line code completions were not only accurate but often saved me from the tedium of writing boilerplate code.
The chat panel, where you can ask the AI questions as you code, is another standout feature. I can’t tell you how many times I was stuck trying to remember a specific function or API call. With a quick query, I’d get a response that, more often than not, pointed me in the right direction. However, I did notice that it sometimes faltered on more complex queries—like asking it to explain an intricate piece of my code. It felt like it was grasping at straws, which was frustrating.
When it comes to pricing, the $8.33 per month for the AI add-on isn’t too shabby, especially if you’re already using JetBrains IDEs. But let’s be honest—if you’re not deeply entrenched in the JetBrains ecosystem, you might find it hard to justify the cost. I can see it being a fantastic tool for professional developers or teams, but for beginners or casual coders, it might feel a bit like overkill.
In the grand scheme of things, JetBrains AI stands up well against competitors like GitHub Copilot. While Copilot is versatile across various editors, JetBrains AI offers a level of integration that’s hard to beat if you’re already using their tools. All in all, I’d recommend it to anyone who’s serious about coding and already using JetBrains products. For occasional coders or those exploring other IDEs, it might be wise to hold off until you’re ready to dive deeper into the JetBrains world.
Getting started with JetBrains AI
After reading this guide, you'll be able to set up JetBrains AI in your IDE and start using its code completion, chat, and refactoring features effectively.
Step 1: Sign up and set up
Step 2: Your first coding task
Step 3: Get better results
Pro tip
If you frequently use specific coding patterns, save them as templates in your IDE. JetBrains AI will learn from these patterns and provide more tailored suggestions over time.
Common mistake to avoid
Avoid asking vague questions in the AI chat. Instead of asking "How do I fix this?", provide specific details about the error or code snippet to get more accurate assistance.
The Verdict
In summary, JetBrains AI is a fantastic addition for serious developers already using JetBrains IDEs, offering a strong combination of code completion and context-aware assistance. However, if you're not committed to the JetBrains ecosystem, this tool may not be worth the investment. It's perfect for professional developers but could leave beginners feeling overwhelmed.
Best For
- Professional developers entrenched in JetBrains IDEs
- Software engineers looking for rapid prototyping support
- Collaborative teams needing unified documentation and refactoring tools
- Freelancers juggling multiple projects requiring efficient coding assistance
- Students aspiring to enhance their coding skills with guided support
At a Glance
JetBrains AI is a powerful coding assistant integrated into JetBrains IDEs, offering advanced code completion, AI chat for coding queries, and context-aware refactoring suggestions. It's a must-have for dedicated JetBrains users looking to enhance their coding efficiency.
Strengths
- +The integration with JetBrains IDEs is top-notch, allowing for code completions and suggestions that are highly context-aware and relevant to your specific project structure.
- +The AI chat panel is a handy feature that lets developers ask questions and receive real-time feedback, which can significantly speed up the coding process.
- +Full-line and multi-line code completions are incredibly useful, helping to maintain coding standards and reduce the time spent on repetitive tasks.
- +The ability to request optimisations, code conversions, and test generation directly within the IDE makes it feel like you have a personal coding assistant.
- +The combination of traditional static analysis with LLM capabilities provides a unique advantage, leveraging JetBrains' existing expertise in code analysis.
- +Pricing is relatively reasonable for those already using JetBrains IDEs, making it an easy add-on for power users.
Limitations
- -The AI sometimes struggles with more complex or niche coding queries, leading to vague or incomplete suggestions that require additional refinement.
- -You must be an active subscriber to JetBrains IDEs to access the AI features, which may deter users who prefer other IDEs or are just starting out.
- -I found that the mobile experience is quite limited; the AI features are really designed for desktop use, making it less convenient for on-the-go coding.
- -There might be a bit of a learning curve as you adapt to using AI suggestions effectively, which could frustrate those who expect immediate proficiency.
- -The AI doesn’t fully replace the need for human oversight in code quality; developers still need to review suggestions to ensure they meet project standards.
Use Cases
- -Professional developers working on large-scale applications who need context-aware code completions and suggestions to maintain code quality.
- -Software engineers who want to rapidly prototype features and require quick feedback on coding queries directly in their IDE.
- -Teams engaged in collaborative projects where multiple developers are contributing code and need a unified approach to documentation and refactoring.
- -Freelancers who often juggle multiple projects and benefit from the AI’s ability to assist with documentation and test generation.
- -Students learning to code who want a supportive tool to help them understand code structures and improve their coding skills.
- -Developers transitioning between languages or frameworks who need assistance in converting code snippets while maintaining functionality.
