Master Junie with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Junie powerful for code generation workflows.
Junie is LLM-agnostic and supports the top-performing frontier models as of 2026, including Claude Sonnet 4.6 and Opus 4.6, GPT-5, GPT-5.4, GPT-5.3-codex, Gemini 3.1 Pro, Gemini 3 Flash, and Grok 4.1. You can use these via the JetBrains AI subscription or bring your own API key from OpenAI, Anthropic, Gemini, xAI, or OpenRouter. This flexibility means you can pick the best model per task â for example, Opus for complex refactoring and Flash for quick edits â without switching tools.
Junie is bundled into JetBrains AI subscriptions: AI Pro is $10/user/month with 10 AI credits per 30 days and lets individuals try Junie alongside AI chat. AI Ultimate is $30/user/month with 35 credits and is recommended for regular agent use. AI Enterprise is coming soon with the maximum credit allowance and custom AI integrations. Alternatively, you can use BYOK for free â install Junie and connect your own provider API key with no extra JetBrains charges.
Junie runs across your entire toolchain: directly from the terminal (via a one-line install script), inside JetBrains IDEs (built on the IntelliJ Platform), in Zed and Air editors, and inside CI/CD systems through GitHub Actions and GitLab CI/CD. You can trigger it from GitHub issues and pull requests, or GitLab issues and merge requests, making it usable for both interactive coding and automated pipeline tasks. This breadth distinguishes it from most agents that target only one editor.
Planning Mode breaks complex tasks down into clear, runnable steps before Junie executes any code changes. Instead of jumping straight into implementation, the agent produces a plan you can review, edit, and approve. This reduces wasted credits on misunderstood tasks and gives Human-in-the-Loop control over architectural decisions. Combined with Live Prompting â which lets you update instructions while a task is running â it offers tighter steering than fire-and-forget agents.
Compared to the other Code Generation tools in our directory, Junie's main edge is LLM-agnosticism plus CI/CD-native runners â it works with multiple model families and runs in GitHub Actions/GitLab pipelines, while Claude Code is locked to Anthropic models and Cursor is editor-bound. Cursor has a more polished VS Code-like editor experience, and Claude Code is more mature given its longer time on market. Choose Junie if you live in JetBrains IDEs, want model flexibility, or need agent runs on PRs/MRs.
Now that you know how to use Junie, it's time to put this knowledge into practice.
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Tutorial updated March 2026