JetBrains AI - AI-powered coding assistant built into your IDE

What Is JetBrains AI

If you've ever found yourself juggling between your IDE and a separate AI chatbot, copying code back and forth just to get an explanation or refactoring suggestion, you're not alone. Developers across the globe face a common frustration: constant context switching breaks your flow, and sending code to external AI services raises legitimate concerns about data privacy and intellectual property.

This is exactly the problem JetBrains AI was built to solve.

JetBrains AI is an intelligent coding assistant deeply integrated into all 11 JetBrains IDEs—including IntelliJ IDEA, PyCharm, WebStorm, GoLand, and more. Rather than forcing you to switch between tools, it brings AI capabilities directly into your development environment. You get intelligent code completion, contextual conversations, and autonomous coding agents without ever leaving your IDE.

What sets JetBrains AI apart is its open ecosystem approach. Instead of locking you into a single AI provider, it supports multiple models including OpenAI GPT, Anthropic Claude, Google Gemini, and xAI Grok. There's also Mellum, JetBrains' own large language model specifically optimized for code completion tasks. This flexibility means you can choose the model that works best for your use case—or even use your own API keys through their BYOK (Bring Your Own Key) program.

The platform has earned the trust of over 15 million developers worldwide, with 287,000 enterprise customers relying on JetBrains tools daily. According to user feedback, 91% report saving time, and an impressive 80% of developers save up to 5 hours of development work per week. These aren't just abstract numbers—they represent real productivity gains for teams and individuals who need their coding environment to be as intelligent as it is secure.

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Core Features of JetBrains AI

JetBrains AI isn't just about adding chat to your IDE—it's about fundamentally improving how you write, understand, and maintain code. Here's what you can actually do with these capabilities.

Unlimited Code Completion

You can use it to get instant, context-aware code suggestions as you type. JetBrains AI provides unlimited code completions powered by Mellum, a large language model that JetBrains built specifically for code completion. Unlike general-purpose AI models, Mellum understands coding patterns deeply and delivers suggestions that fit naturally into your workflow. Whether you're working in Java, Python, Go, or any of the other supported languages, you get intelligent predictions that accelerate your typing without interrupting your thought process.

Junie: Your Autonomous Coding Agent

You can delegate complex coding tasks to Junie, JetBrains' AI-powered coding agent. Junie operates in two modes: Code Mode for autonomous task execution and Ask Mode for interactive problem-solving. It can break down complex requirements into actionable steps, write and optimize code, generate unit tests, and even refactor existing codebases. If you're working on ambitious projects that involve significant boilerplate code, API integrations, or test coverage expansion, Junie acts like an extra team member who never gets tired.

AI Assistant Chat

You can ask questions about your codebase and receive answers that understand context. The AI Assistant chat doesn't just parse your current file—it understands your entire project. You can @-mention specific files, symbols, or even trigger web searches directly within the chat. This makes it invaluable for onboarding to new codebases, debugging tricky issues, or understanding how different components interact. Whether you're asking "what does this function do?" or "how is this module organized?", the AI provides relevant, contextual responses.

Next Edit Suggestions

You can receive predictive editing recommendations that anticipate your next move. This beta feature analyzes your project patterns and intentions to suggest edits you might need next—whether that's batch renaming variables across multiple files, updating logic that spans several modules, or making cross-file refactoring changes. It's like having an intelligent assistant who knows what you're trying to accomplish before you fully articulate it.

Automated Unit Test Generation

You can instantly generate structured unit tests for new or legacy code. Rather than writing test scaffolding manually, JetBrains AI analyzes your code and documentation to produce comprehensive test coverage across multiple scenarios. This is particularly valuable when you're adding tests to older codebases that lack proper test coverage, or when you want to ensure new functionality is thoroughly validated.

Smart Commit Messages

You can generate meaningful Git commit messages and pull request descriptions automatically. The AI analyzes your code changes and project context to produce clear, descriptive commit messages that actually help your team understand what changed and why. This small improvement adds up significantly over time, especially in teams that value clean, informative version control history.

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Who Is Using JetBrains AI

JetBrains AI serves a diverse range of users, from individual developers building side projects to large enterprises with strict security requirements. Understanding who benefits most helps you determine if it's the right fit for your situation.

Individual Software Developers

If you're a solo developer working on personal projects or freelance work, JetBrains AI significantly accelerates your daily coding. You get immediate, accurate code suggestions without searching documentation, instant explanations for unfamiliar code, and automated generation of repetitive code patterns. The learning curve for new codebases drops substantially when you can simply ask an AI assistant for clarification. Many individual developers start with the free tier to test the waters, then upgrade to AI Pro as their needs grow.

Development Teams

When your team shares a codebase, skill levels naturally vary. JetBrains AI provides consistent coding assistance across the entire team, helping junior developers write better code while letting seniors focus on architecture and complex problem-solving. The AI assistant enforces consistent coding practices and can explain decisions to team members who need guidance. Teams using collaborative features report improved knowledge sharing and faster onboarding for new members.

Enterprise Organizations

Enterprises with strict security, privacy, and compliance requirements have specific needs that consumer-grade tools can't meet. AI Enterprise addresses these concerns directly with local deployment options, BYOK (Bring Your Own Key) support, SSO (Single Sign-On), and SCIM (System for Cross-domain Identity Management). You can run AI capabilities entirely within your own infrastructure, ensuring sensitive code never leaves your network. SOC 2 Type II certification and GDPR compliance provide the documentation and assurance security teams require.

Educational Institutions

Students learning to code benefit enormously from having an AI assistant that can explain concepts, provide feedback, and offer guidance. Educational institutions can leverage JetBrains AI to create more engaging learning environments where students receive instant feedback on their code. Rather than waiting for instructor office hours, learners can ask questions and explore code patterns independently, accelerating their development as programmers.

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JetBrains AI Pricing Plans

Choosing the right plan depends on how intensively you plan to use AI features. Here's a clear breakdown to help you decide.

Understanding AI Credits: AI Credits measure your usage of cloud-based AI features like AI chat conversations and Junie agent tasks. Code completion with the Mellum model uses unlimited credits, so you never hit a wall while typing. The credit system ensures heavy users have appropriate allocation while keeping the service sustainable.

Which Plan Should You Choose? If you're new to AI-assisted development, start with AI Free to experience unlimited code completion at no cost. If you rely on AI chat or Junie for regular work, AI Pro provides a practical balance of features and cost. Developers who frequently use AI agents for complex tasks will find AI Ultimate's larger allocation worthwhile. Enterprises should contact JetBrains for custom deployment options that meet their specific security requirements.

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Ecosystem and Integrations

JetBrains AI doesn't exist in isolation—it sits at the center of a robust ecosystem that gives you flexibility and choice in how you work with AI.

AI Model Providers

JetBrains has established partnerships with leading AI companies to give you access to cutting-edge models. You can connect to Google's Vertex AI, Codey, and Gemini models for robust general-purpose AI assistance. OpenAI's GPT series brings powerful language understanding and generation capabilities. Anthropic's Claude models excel at complex reasoning and code understanding tasks. xAI's Grok models offer another option for developers who want to explore different AI approaches.

Local and Offline Capabilities

For organizations with strict data policies or developers working in air-gapped environments, JetBrains AI supports local model deployment. Through integration with Ollama and LM Studio, you can run AI models entirely on your own hardware. This ensures complete data sovereignty while still benefiting from AI-assisted development. Many financial services, government, and healthcare organizations require this level of control, making local deployment a critical capability.

Protocol Innovations

JetBrains is pioneering new standards for AI and IDE interaction. The Agent Client Protocol (ACP) enables seamless communication between IDEs and AI agents, allowing for more sophisticated automation workflows. The Model Context Protocol (MCP) integration lets you connect external data sources and tools—databases, APIs, filesystem resources—directly to your AI assistant, creating powerful development workflows that span your entire technology stack.

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Frequently Asked Questions