JetBrains Junie is an AI coding agent for delegating multi-step development work—not just requesting an inline completion. From a prompt, it can plan a task, edit project files, run tests or terminal commands, use external tools when needed, and report progress. Developers can use it through supported JetBrains IDEs, an interactive terminal, or headless CI/CD workflows, with human review still required for every change.
What Junie is
JetBrains introduced Junie in January 2025 as its coding agent. Current JetBrains documentation describes it as an agent that autonomously plans and executes complex, multi-step actions from a prompt. In practical terms, that can include inspecting a codebase, changing multiple files, running a test suite or shell command, and iterating on the result.
JetBrains’ own description is: “Junie is an AI coding agent developed by JetBrains whose primary task is to autonomously plan and execute complex, multi-step actions based on your prompt.” That is a description of the product’s intended behavior, not independent evidence that Junie will produce correct code or improve productivity in every project.
Junie versus JetBrains AI Assistant
AI Assistant remains the focused assistance layer: developers can ask for code generation, explanations and similar targeted help. Junie is positioned for delegation. Instead of asking for one snippet, you can give it a broader objective and let it plan a sequence of repository actions.
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| Capability | AI Assistant | Junie |
|---|---|---|
| Typical interaction | Focused generation, explanation or editing help | Delegated, multi-step task from a prompt |
| Project changes | Usually centered on the code or context you are actively editing | Can make larger-scale project edits as part of a plan |
| Commands and tests | Can help you formulate or understand them | Can run terminal commands and tests while carrying out a task |
| Best fit | Keeping a developer in control of each focused action | Handing off a defined task for execution and review |
The boundary is about autonomy, not a promise that one product replaces the other. Review the proposed file changes, command output and test results before merging or deploying anything.
Where you can use Junie
JetBrains IDEs
Current plugin guidance recommends selecting Junie in the IDE’s AI Chat. The exact IDE edition and minimum version matter:
| IDE | Minimum version listed in current plugin documentation |
|---|---|
| IntelliJ IDEA Ultimate, PyCharm Professional, WebStorm and GoLand | 2024.3.2 or later |
| IntelliJ IDEA Community, PhpStorm, RubyMine and RustRover | 2025.1 or later |
| CLion and Rider | 2025.2.1 or later |
| Android Studio | Junie is listed as available; check the current plugin documentation for the applicable version |
These requirements can change. Check the live Junie plugin page before installation, and do not treat the IntelliJ IDEA or PyCharm requirements as interchangeable between Community and Professional editions.
Interactive terminal
Junie is also documented for an interactive terminal workflow. This is useful when the repository is not open in an IDE or when you prefer to review an agent’s commands and output in a shell-oriented session.
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Headless CI/CD
Headless operation lets teams invoke Junie from CI/CD scripts. A pipeline should provide a constrained checkout, explicit credentials and a review or approval gate. Agent-generated changes should not be allowed to reach production solely because a command completed successfully.
How a developer can use Junie
- Confirm compatibility. Update a supported JetBrains IDE or verify the terminal and CI/CD prerequisites in the current Junie documentation.
- Set up JetBrains AI access. Installation and activation require a JetBrains AI subscription; the available plans and quotas are subject to change.
- Open the agent entry point. In a supported IDE, open AI Chat and select Junie. In other workflows, use the documented terminal or headless interface.
- Write a bounded prompt. State the goal, relevant directories, constraints, commands Junie may run, and what tests must pass. For example: “Add request validation to the users endpoint, update its tests, run the users test suite, and show every file changed.”
- Inspect the plan. Check the files and operations Junie proposes before allowing a broad change.
- Review execution. Examine diffs, terminal commands, dependency changes, generated files and test output. A passing test run does not prove that requirements, security and compatibility are correct.
- Finish through normal engineering controls. Run your own checks, obtain code review and commit or merge only the changes you accept.
What Junie can and cannot safely do
Useful tasks
- Tracing a change across several related files.
- Implementing a feature together with targeted tests.
- Refactoring repeated code while updating affected references.
- Running a prescribed test or build command and reporting failures.
- Inspecting a repository to suggest or carry out a documented change.
Human controls remain essential
- Limit access to secrets, production systems and destructive commands.
- Check every diff for unintended behavior, licensing issues and sensitive-data exposure.
- Validate migrations, dependency upgrades and configuration edits separately from ordinary source changes.
- Treat external-tool use and shell commands as potentially consequential operations.
- Keep CI/CD jobs isolated and require approval before publishing artifacts or deploying.
Junie’s interface is changing
In December 2025, JetBrains announced Junie in beta within the unified AI Chat and said it intended eventually to deprecate and fully merge the separate Junie interface. Current plugin guidance recommends AI Chat. The announcement describes an intended transition, not proof that every separate interface has already been removed.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Subscription, quotas and availability
JetBrains’ April 2025 public-availability announcement placed Junie alongside AI Assistant in JetBrains AI access tiers and described a Free tier with limited, quota-based cloud-AI access, plus Pro and Ultimate tiers with larger quotas. Those historical descriptions should not be used as current prices or entitlements. Plans, credits, included products and regional availability can change, so verify the current JetBrains AI plan page when signing up.
There is no independent benchmark in the available material establishing Junie’s coding accuracy or developer-productivity impact. Evaluate it with your own repositories, review standards and failure-cost tolerance rather than relying on a blanket “best agent” claim.
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When Junie is a good fit
Junie is most useful when a task has a clear outcome but spans several related actions—for example, changing an API, updating tests and running the relevant checks. AI Assistant may be the better choice when you want a short explanation, a single completion or tight, step-by-step control. Teams comparing Junie with another agent should examine execution environments, delegation level, IDE compatibility, model and service requirements, usage limits and review controls rather than relying on marketing labels.
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