← All articles

Coding

Junie: JetBrains' AI Coding Agent Review and Key Features

3 min read

Updated

Discover Junie, the native JetBrains AI coding agent. Read about its key capabilities, features, pricing plans, and how it compares to alternatives.

Junie is an AI coding agent built directly into JetBrains IDEs. It is designed to autonomously plan, write, test, and refine code across multiple files, handling complex development tasks while allowing developers to focus on higher-level system architecture and decision-making.

Key Capabilities

  • Native JetBrains Integration: Works directly within major JetBrains IDEs like IntelliJ IDEA, PyCharm, WebStorm, and GoLand.
  • Autonomous Multi-Step Planning: Creates multi-step task lists and executes them independently across your codebase.
  • Test-First Verification: Automatically runs tests and IDE inspections to verify its code changes before you review them.
  • Dual Working Modes: Offers a "Code Mode" for autonomous execution and an "Ask Mode" for brainstorming and design discussions.
  • Full Project Context: Reads and writes code across multiple files with an understanding of the entire project context.
  • Enterprise-Grade Security: Supports Single Sign-On (SSO) and advanced security policy controls on enterprise tiers.

Feature Breakdown

Agentic Task Execution

Junie does not just suggest code line-by-line; it analyzes your project, proposes a structured, multi-step plan, and executes the necessary modifications across multiple files autonomously.

Test-First Verification

To maintain code quality, Junie runs project test suites and triggers native IDE inspections after editing code. This helps identify syntax issues, logic errors, and regressions early in the development cycle.

Deep IDE Integration

Unlike standalone tools or browser-based editors, Junie operates directly within your existing JetBrains workspace. This eliminates the context-switching penalty of jumping between external applications and your developer environment.

Code & Ask Modes

Developers can toggle between two operational states:

  • Code Mode: Optimized for hands-off execution where the agent modifies, creates, and refines project files.
  • Ask Mode: Tailored for interactive discussions, exploring design choices, and brainstorming architecture without immediate file modification.

Best Suited For

  • JetBrains Users: Developers already working inside IntelliJ IDEA, PyCharm, WebStorm, GoLand, and related IDEs.
  • Professional Developers: Teams requiring an agent that respects local tests and IDE-specific linting/inspections.
  • Kotlin & Java Shops: Projects leveraging JetBrains' primary ecosystem languages where integration is deepest.
  • Enterprise Teams: Organizations requiring security controls, SSO integration, and centralized AI credit management.

Pricing and Access

Junie is offered as part of the JetBrains AI subscription suite:

  • JetBrains AI Pro: Starts at $100 per user, per year.
  • Enterprise Tier: Custom pricing designed for teams, featuring enhanced administrative controls, SSO, and shared credit pools.

Similar Tools and Alternatives

If you are evaluating other AI coding assistants, these tools offer comparable agentic workflows:

  • Continue.dev: An open-source assistant that runs asynchronous agents on pull requests to enforce team policies and automate code reviews.
  • Cline: An autonomous AI assistant for VS Code that handles multi-step tasks, file editing, terminal execution, and supports Model Context Protocol (MCP) integrations.
  • Kilo Code: A multi-model coding assistant supporting VS Code, JetBrains, and CLI environments with orchestrator workflows to coordinate complex subtasks.
  • Google AntiGravity: A development platform spanning dedicated IDE interfaces, standalone desktop apps, a Go-based CLI, and a Python SDK.
  • Devin Desktop: Cognition's local AI editor featuring parallel workspace capabilities and integration with remote execution environments.
  • Claude Design: A conversational prototyping and visual studio designed to translate natural language prompts into structured templates ready for production code generation.