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JetBrains AI Tools (2026) | AI Assistant, Junie & Developer Tools

JetBrains has been a cornerstone of professional software development for over two decades, known for its family of intelligent IDEs including IntelliJ IDEA, PyCharm, and WebStorm. By 2026, JetBrains has evolved from an IDE company into a significant player in AI-assisted and agentic software development, with a strategy that emphasizes openness, vendor neutrality, and deep IDE integration.

According to the January 2026 JetBrains AI Pulse survey of over 11,000 developers globally, AI adoption is nearly ubiquitous at the individual contributor level, with 90% using AI tools at work. However, only 22% report regular use of autonomous coding agents, while two-thirds of surveyed companies intend to introduce such agents within a year. JetBrains is positioning itself to bridge this gap—offering both the AI-powered features developers need today and the agentic infrastructure teams will require tomorrow.

This guide provides a comprehensive overview of JetBrains’ AI ecosystem—from the AI Assistant and Junie coding agent to JetBrains Central, Air, and the broader developer toolchain. Whether you’re an individual developer, an engineering team, or an enterprise evaluating AI tools, this guide will help you understand JetBrains’ AI strategy and offerings.

What Is JetBrains?​

JetBrains is a developer tools company founded in 2000, best known for its family of Integrated Development Environments (IDEs) and developer productivity tools. The company’s flagship products include:

ProductPrimary Language / Domain
IntelliJ IDEAJava, Kotlin, and polyglot development
PyCharmPython development
WebStormJavaScript, TypeScript, and frontend development
GoLandGo development
Rider.NET and C# development
CLionC and C++ development
PhpStormPHP development
DataGripDatabase and SQL tools
ReSharperVisual Studio extension for .NET

JetBrains also develops Kotlin, a modern programming language now widely used for Android and backend development, and Qodana, a code quality platform built on the IntelliJ inspection engine.

In 2026, JetBrains was recognized in the Gartner Magic Quadrant for DevOps Platforms for Ability to Execute and Completeness of Vision.

JetBrains AI Ecosystem Overview​

JetBrains’ AI ecosystem is built on a foundational principle: avoid vendor lock-in and keep workflows compatible. The company deliberately designs its AI experience to support multiple ways to connect to AI models and agents:

  • JetBrains AI-managed setup – with a JetBrains AI subscription
  • BYOK – Bring your own API key
  • OAuth sign-in – for supported provider accounts
  • ACP agents – Connect external coding agents through the standard Agent Client Protocol
┌─────────────────────────────────────────────────────────────────┐
│                    JetBrains AI Ecosystem                       │
├─────────────────────────────────────────────────────────────────┤
│  AI Assistant          │  Junie (Coding Agent)                 │
│  ─────────────          │  ─────────────────                    │
│  Cloud Completion      │  Autonomous multi-step actions        │
│  Next Edit Suggestions │  Plan Mode (think before code)        │
│  AI Chat               │  Agentic Debugging                    │
│  Code Generation       │  CLI & Terminal Support               │
│  Refactoring           │  Multi-model support                  │
├─────────────────────────────────────────────────────────────────┤
│  JetBrains Central (Agentic Platform)                          │
│  ─────────────────────────────────────                          │
│  Orchestration  │  Governance  │  Cost Control  │  Air         │
├─────────────────────────────────────────────────────────────────┤
│  IDE Ecosystem          │  Code Quality                         │
│  ────────────          │  ────────────                          │
│  IntelliJ IDEA          │  Qodana (static analysis)            │
│  PyCharm                │  TeamCity (CI/CD)                    │
│  WebStorm               │  YouTrack (planning)                  │
│  Other JetBrains IDEs   │                                      │
└─────────────────────────────────────────────────────────────────┘

JetBrains AI Assistant​

JetBrains AI Assistant is a collection of AI-powered features and coding agents integrated into JetBrains IDEs. Unlike a standalone product, it is an extension of the IDE itself—bringing AI capabilities directly into the development environment where developers already work.

Core Features​

AI Assistant offers a wide range of features designed to accelerate everyday development tasks:

Code Completion: AI Assistant can autocomplete single lines, blocks of code, or entire functions based on project context using cloud completion models.

Next Edit Suggestions (NES) : Predicts which parts of code you might want to change next and suggests the most likely edits. Supports language selection, instant preview, chained suggestions, refactoring suggestions, and formatting-only edits.

AI Chat: A conversational interface where developers can ask questions, request code generation, explain code, and work with coding agents.

AI-Generated Name Suggestions: Suggests names when renaming symbols.

Code Conversion: Suggests converting pasted code to the language of the target file.

PR Summary Generation: Automatically generates a summary of changes when opening an incoming pull request (GitHub plugin).

Database Schema Support: Allows attaching database schemas to AI Assistant chat to enhance the quality of generated SQL queries.

Feature Availability​

AI Assistant features are available across most JetBrains IDEs, including IntelliJ IDEA, PyCharm, WebStorm, CLion, GoLand, Rider, and DataGrip. The plugin is not bundled by default and must be installed.

Model & Provider Flexibility​

AI Assistant connects your IDE to AI models and agents through multiple methods:

  • JetBrains AI service (managed subscription)
  • Bring Your Own Key (BYOK) for external providers
  • OAuth sign-in for supported provider accounts
  • ACP agents for external coding agents

Junie: The JetBrains AI Coding Agent​

Junie is JetBrains’ LLM-agnostic AI coding agent that autonomously plans and executes complex, multi-step actions based on your prompt. It can introduce large-scale edits to your project, run tests or terminal commands, and use external tools when needed.

General Availability (June 2026)​

Junie left Beta and reached General Availability in June 2026. On the independent SWE-Rebench agent benchmark, Junie placed as the number-one coding agent, with 61.6% resolved and a 72.7% pass@5—placing it ahead of other agents and competitive with raw frontier models.

Junie is available in all JetBrains IDEs and through the Junie CLI in your terminal.

Key Capabilities​

Plan Mode: Before Junie writes code, it produces a structured document with tabs for product requirements, technical design, delivery stages, and testing strategy. You read the doc, edit it directly in your editor, approve it, and then Junie implements it. The plan lives in .junie/plans and becomes living task documentation.

Agentic Debugging: Instead of adding log statements, Junie can drive your IDE’s debugger—starting or joining a debug session, managing breakpoints, inspecting runtime state, and evaluating expressions.

Model Agnostic: Junie supports any model without lock-in—use the latest models from frontier labs or point it at a local runtime. Supported models include Gemini, GPT-5, GPT-5.1-codex-max, and others.

Brave Mode: Allows Junie to execute commands or modify files without asking for confirmation (use with caution).

IDE Context Awareness: Junie can automatically receive context about your current editing session—the file open in the editor and any selected text.

Junie CLI​

Junie CLI provides terminal-based access to the coding agent, supporting top-performing models from OpenAI, Anthropic, Google, and Grok. It was released in beta in March 2026.

JetBrains Central: Agentic Development Platform​

JetBrains Central is a production-grade agentic development platform designed to orchestrate coding agents and manage agentic environments across software teams. It reflects JetBrains’ move beyond AI merely assisting developers within code editors.

Key Components​

JetBrains Central anchors an evolving toolchain that includes:

Air: An environment for distributing work across concurrent coding agents.

Junie CLI: A coding agent supporting multiple LLMs and integration points.

Governance & Control​

JetBrains Central offers:

  • Policy enforcement: Define and enforce rules for agent behavior
  • Identity management: Control who can use which agents
  • Auditability: Track agent actions and decisions
  • Cost attribution: Understand spend linked to agent-driven automation
  • Semantic context sharing: Agents access relevant artifacts across repositories
  • Cloud-based runtimes: Robust agent deployment across environments

Integration Ecosystem​

Agents coordinated via JetBrains Central can operate on real delivery pipelines, interacting with:

  • Source control systems (Git)
  • CI/CD workflows
  • Cloud infrastructure
  • Deployment stacks
  • Monitoring endpoints
  • Documentation sets
  • Ticketing APIs
  • Internal knowledge bases

Agents interface with human operators through standard communication platforms including Slack and Atlassian tools.

Air App & Air Team​

Air App delivers a workspace for developer-centric task orchestration, where individuals can initiate agent-assisted runs and review results.

Air Team (in development) will support joint context management, multi-step workflow definition involving both humans and agents, plus review and audit capabilities—all underpinned by JetBrains Central’s governance features.

JetBrains AI for IDE Integration​

ACP: Agent Client Protocol​

ACP (Agent Client Protocol) lets you connect external coding agents to JetBrains IDEs through a standard interface. This means the IDE doesn’t need a bespoke integration for every agent—agents can be installed from an AI agent directory.

Supported agents include:

  • Junie (JetBrains’ own agent)
  • Claude Agent
  • Codex
  • Cursor
  • GitHub Copilot (as a native agent)
  • Any agent compatible with the ACP protocol

Using ACP agents does not require a JetBrains AI subscription.

2026.1 Release Highlights​

IntelliJ IDEA 2026.1 added built-in support for more AI agents, including Codex, Cursor, and any ACP-compatible agent. The update also enabled AI chat integrations with connected databases for query, analysis, and modification.

JetBrains AI for Development Workflows​

The Two-Way Workflow Philosophy​

JetBrains recognizes two valid ways of creating code:

  1. The classic way: By typing, refactoring, debugging, and building up intent line by line
  2. The new way: Through collaborating with AI—via autocomplete or using an agent that can draft whole chunks of work

JetBrains’ goal is to ensure both workflows can coexist inside JetBrains IDEs without hindering each other. A human remains responsible for the code that ships, and the best place to read, understand, and own that code is still the IDE.

Agentic Workflows​

JetBrains is building agentic workflows that speed up creation while strengthening the IDE as the best place to review, understand, and own what gets shipped. This includes:

  • AI Chat as a chat-first workflow
  • IDE terminal integration for CLI tools
  • Agentic systems where you can run an agent and leave it to work for hours

Qodana: Code Quality Platform​

Qodana is JetBrains’ code quality platform built on the IntelliJ inspection engine. It extends static analysis into CI/CD, giving teams a practical way to enforce code quality and identify refactoring opportunities across repositories.

Important distinction: Qodana itself has no AI capabilities—it is a deterministic static analysis tool, not an AI-powered code review system. However, JetBrains has demonstrated how Qodana can be used to automatically analyze AI-generated code in CI pipelines, applying reliable, repeatable checks to keep codebases clean and maintainable.

For DevOps teams, JetBrains offers a full suite including TeamCity for CI/CD and YouTrack for planning and project management.

JetBrains AI Security & Privacy​

JetBrains AI services are powered by a combination of AI models hosted directly on JetBrains servers and models provided by external AI service providers (except for JetBrains AI Enterprise).

BYOK: Bring Your Own Key​

The BYOK approach gives organizations control over which models are used and which provider handles their data. Developers can configure access to models from third-party AI providers and locally hosted models.

Enterprise Privacy​

JetBrains AI Enterprise provides additional custom features and is available as part of JetBrains IDE Services. Enterprise deployments offer:

  • Control over data handling
  • Custom model configurations
  • Organizational governance

JetBrains AI Pricing​

JetBrains AI uses a credit-based subscription model. Features like code completion and next edit suggestions are unlimited and do not consume credits.

License Tiers​

TierPriceCreditsBest For
AI TrialFree10 credits (trial period)Evaluation
AI FreeFree3 credits per 30 daysLight, occasional use
AI Pro$10–$30 / mo35 credits per 30 daysIndividual developers
AI Ultimate$20–$60 / mo70 credits per 30 daysPower users
AI EnterpriseCustomCustomOrganizations

Annual Plans​

Annual subscriptions are available with significant savings. AI Pro is included in the All Products Pack at $299/year individual.

Key Pricing Notes​

  • Credits are consumed when using AI features that rely on cloud models
  • Availability is restricted to allowed territories due to provider restrictions
  • Enterprise licenses include 20 AI Credits per user per month

JetBrains AI vs GitHub Copilot​

AspectJetBrains AIGitHub Copilot
Primary integrationJetBrains IDEsVS Code, GitHub, JetBrains, Visual Studio
Pricing$8.33/mo (annual)$10/mo (Pro)
Coding agent✅ Junie (GA)✅ Copilot Coding Agent
Agentic platform✅ JetBrains Central❌
Model flexibility✅ BYOK, multi-model✅ Multi-model (via Copilot)
ACP support✅❌
Enterprise governance✅ JetBrains Central✅ Copilot Enterprise
Free tier✅ 3 credits/30 days✅ Limited free tier

Key Differentiators​

JetBrains AI offers greater vendor neutrality through BYOK, multi-model support, and the ACP standard. JetBrains Central provides an agentic orchestration layer that GitHub Copilot does not have.

GitHub Copilot offers deeper GitHub ecosystem integration and broader adoption, though recent surveys show its usage share declining. A July 2026 survey found GitHub Copilot’s work usage at 21%, down from 29–31% previously.

JetBrains AI vs Cursor​

AspectJetBrains AICursor
IDEJetBrains IDEs (full-featured)VS Code fork
PhilosophyAI enhances existing IDEAI-native IDE
Agent support✅ Junie, ACP agents✅ Agent mode
Existing ecosystemMature refactoring, navigation, debuggingGrowing
OpennessBYOK, multi-model, ACPLimited

Key insight: JetBrains AI is for developers who want AI capabilities inside a mature, full-featured IDE. Cursor is for developers who want an IDE built around AI from the ground up.

JetBrains AI Strengths​

Deep IDE integration: AI Assistant and Junie are native to the JetBrains IDE experience—no context switching required.

Vendor neutrality: BYOK, multi-model support, and ACP ensure developers aren’t locked into a single AI provider.

Mature developer tooling: JetBrains IDEs offer industry-leading refactoring, code navigation, debugging, and project understanding—AI enhances these rather than replacing them.

Agentic platform: JetBrains Central provides orchestration, governance, and cost control for agentic development at scale.

Number-one coding agent: Junie ranked first on the SWE-Rebench agent benchmark.

Flexible pricing: Free tier, Pro, Ultimate, and Enterprise options suit different usage levels.

JetBrains AI Limitations​

Ecosystem lock-in: The deepest AI integration is within JetBrains IDEs—developers who prefer other editors may find less value.

Agent reliability: While Junie is the top-ranked coding agent, agentic systems still require human oversight and review.

Model availability: Access to specific models may be restricted by territory.

Qodana no AI: JetBrains’ code quality platform has no AI capabilities—it is deterministic static analysis.

Learning curve: The breadth of features and configuration options can be overwhelming for new users.

Best Practices​

Start with AI Assistant: Begin with code completion and next edit suggestions—they’re unlimited and don’t consume credits.

Use Junie for complex tasks: For multi-step coding tasks, use Junie with Plan Mode to review the approach before implementation.

Leverage ACP for external agents: If you prefer Claude Code, Codex, or Cursor, connect them via ACP without a JetBrains AI subscription.

Set enterprise policies: For teams, use JetBrains Central’s governance features to control which agents and models are used.

Review before merging: Always review AI-generated code—the human remains responsible for what ships.

Frequently Asked Questions​

What is JetBrains AI?​

JetBrains AI encompasses the AI-powered features and coding agents integrated into JetBrains IDEs—including AI Assistant, Junie, and JetBrains Central—with a focus on vendor neutrality and deep IDE integration.

What is JetBrains AI Assistant?​

AI Assistant is a collection of AI-powered features and coding agents integrated into JetBrains IDEs, including code completion, next edit suggestions, AI Chat, and code generation.

What is Junie?​

Junie is JetBrains’ LLM-agnostic AI coding agent that autonomously plans and executes complex, multi-step actions. It ranked as the number-one coding agent on the SWE-Rebench benchmark.

Is JetBrains AI available in IntelliJ IDEA?​

Yes. AI Assistant and Junie are available in IntelliJ IDEA and most other JetBrains IDEs.

Does JetBrains AI support Python development?​

Yes. AI Assistant is compatible with PyCharm and almost all other JetBrains IDEs.

Can Junie modify an entire codebase?​

Yes. Junie can introduce large-scale edits to your project, run tests or terminal commands, and use external tools.

Is JetBrains AI free?​

JetBrains AI Free provides 3 credits per 30 days. Pro and Ultimate tiers are paid.

Does JetBrains AI work with multiple AI models?​

Yes. JetBrains AI supports multiple models through JetBrains AI-managed setup, BYOK, OAuth, and ACP.

Is JetBrains AI suitable for enterprise development?​

Yes. JetBrains Central provides governance, identity management, auditability, and cost attribution for enterprise agentic development.

How does JetBrains AI compare with GitHub Copilot?​

JetBrains AI offers greater vendor neutrality (BYOK, multi-model, ACP) and an agentic platform (JetBrains Central), while GitHub Copilot offers deeper GitHub ecosystem integration.

JetBrains AI Product Guides​

Conclusion​

JetBrains has evolved from an IDE company into a significant player in AI-assisted and agentic software development. By 2026, the company offers a comprehensive AI ecosystem built on a foundation of vendor neutrality, deep IDE integration, and agentic orchestration.

Key takeaways:

  • AI Assistant brings code completion, next edit suggestions, and AI Chat into JetBrains IDEs
  • Junie is the number-one coding agent on SWE-Rebench, with Plan Mode and agentic debugging
  • JetBrains Central provides orchestration, governance, and cost control for agentic development at scale
  • ACP enables external agents like Claude Code, Codex, and Cursor without a JetBrains AI subscription
  • BYOK and multi-model support ensure developers aren’t locked into a single AI provider

When to choose JetBrains AI:

  • You already use JetBrains IDEs and want AI integrated into your existing workflow
  • You value vendor neutrality and want to avoid lock-in to a single AI provider
  • You need agentic orchestration and governance for team-scale AI development
  • You want the number-one coding agent on independent benchmarks

When to consider alternatives:

  • GitHub Copilot: If you’re deeply integrated into the GitHub ecosystem
  • Cursor: If you want an AI-native IDE built from the ground up
  • Claude Code: If you prefer terminal-based agentic workflows

Whether you’re an individual developer using AI Assistant, a team deploying Junie, or an enterprise adopting JetBrains Central, JetBrains provides the tools, models, and infrastructure to bring AI-powered development to your workflow in 2026.