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JetBrains AI Assistant Review 2026

Honest pros, cons, and verdict on this ai coding tool

★★★★★
4.2/5

✅ Deep native integration with JetBrains IDEs lets developers use AI assistance inside IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, CLion, PhpStorm, RubyMine, DataGrip, DataSpell, Aqua, and related products instead of switching to a separate AI editor.

Starting Price

$0 with 3 AI Credits per 30 days

Free Tier

Yes

Category

AI Coding Tools

Skill Level

Any

What is JetBrains AI Assistant?

AI-powered plugin for JetBrains IDEs that enhances development workflow with intelligent code completion, next edit suggestions, AI chat with project context, and coding assistance inside JetBrains IDEs.

JetBrains AI Assistant is an AI Coding Tools IDE plugin that adds code completion, next edit suggestions, project-aware AI chat, agent mode, and response application directly inside JetBrains IDEs, with pricing starting at free through the AI Free tier. It is best for developers and teams already using IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, CLion, PhpStorm, RubyMine, DataGrip, DataSpell, Aqua, or related JetBrains IDEs.

JetBrains AI Assistant is not bundled or enabled in IntelliJ IDEA by default; JetBrains states that users must install the plugin, acquire a JetBrains AI Service license, and explicitly consent to JetBrains AI Terms of Service and Acceptable Use Policy before the assistant becomes active or has access to code. The IntelliJ IDEA 2026.1 Help page lists key capabilities including code completion for single lines and entire code blocks, next edit suggestions for likely follow-up changes, AI Chat with supported language models, agent mode for tasks such as fixes, refactoring, and test generation, context management for files, folders, images, symbols, commits, and other items, and response processing that can apply snippets, modify one or more files, or run terminal commands from AI Chat. The documentation page was updated on 06 October 2025, and it explicitly mentions cloud-based LLM choices from Google Gemini, OpenAI, and Anthropic, plus support for custom local third-party models for selected AI Assistant features.

Key Features

✓Mellum Local Code Completion
✓Junie Agent Mode
✓Next Edit Suggestions
✓Context Management
✓Multi-Model Cloud LLM Support

Pricing Breakdown

AI Free

$0 with 3 AI Credits per 30 days

per month

  • ✓No-cost AI access tier
  • ✓3 AI Credits per 30 days
  • ✓Quota renews every 30 days
  • ✓Works through JetBrains AI Assistant in supported JetBrains IDEs
  • ✓Useful for initial evaluation before paid rollout

AI Pro Individual

$10 USD per 30 days with 10 AI Credits

per month

  • ✓Individual paid plan
  • ✓10 AI Credits per 30 days
  • ✓Quota renews every 30 days
  • ✓Access to JetBrains AI Assistant features subject to IDE, model, and territory availability
  • ✓Top-up credits available and valid for 12 months

AI Ultimate Individual

$30 USD per 30 days with 35 AI Credits

per month

  • ✓Higher individual quota than AI Pro
  • ✓35 AI Credits per 30 days
  • ✓Quota renews every 30 days
  • ✓Designed for heavier individual AI usage
  • ✓Top-up credits available and valid for 12 months

Pros & Cons

✅Pros

  • •Deep native integration with JetBrains IDEs lets developers use AI assistance inside IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, CLion, PhpStorm, RubyMine, DataGrip, DataSpell, Aqua, and related products instead of switching to a separate AI editor.
  • •The 2026.1 IntelliJ IDEA Help page lists concrete workflow features: code completion, next edit suggestions, AI Chat, agent mode, context management, response processing, cloud LLM support, and local model use.
  • •AI Chat can use explicit project context such as files, folders, images, symbols, commits, and other items, which is useful for questions tied to a real codebase rather than isolated snippets.
  • •Response processing is practical inside the IDE because developers can review AI output and then apply code snippets, modify single or multiple files, or run terminal commands directly from AI Chat.
  • •Pricing includes a no-cost AI Free tier with 3 AI Credits per 30 days and paid individual tiers starting at $10 USD per 30 days, which makes evaluation easier for existing JetBrains users before an organization rollout.
  • •Supports both cloud-based providers named in the documentation, including Google Gemini, OpenAI, and Anthropic, and custom local third-party models for supported features such as code completion, in-editor code generation, or commit message generation.

❌Cons

  • •JetBrains AI Assistant is not bundled or enabled by default; users must install the plugin, have a JetBrains AI Service license, and explicitly accept JetBrains AI terms before it can access code.
  • •It is limited to the JetBrains IDE ecosystem, so teams using VS Code, Neovim, Sublime Text, or browser-based development environments will not get the same native plugin experience.
  • •Cloud usage is quota-based: AI Free includes 3 AI Credits per 30 days, AI Pro includes 10 individual or 20 organization credits, and AI Ultimate includes 35 individual or 70 organization credits, so heavy agent or chat usage may require top-ups or a higher tier.
  • •Advanced workflows such as agent mode, multi-file edits, terminal command execution, and generated tests still require careful developer review before code is merged.
  • •Local model support exists, but setup and capability coverage are narrower than cloud use; the supplied data notes that MCP tool invocation is not currently supported when using local models.

Who Should Use JetBrains AI Assistant?

  • ✓Java and Kotlin teams working in IntelliJ IDEA on Spring, Gradle, Maven, or Kotlin services that want AI code completion, explanations, test generation, and refactoring help inside their existing IDE.
  • ✓Polyglot engineering teams using several JetBrains IDEs, such as PyCharm for Python services, WebStorm for frontend code, GoLand for Go services, and DataGrip for database work, who want one AI assistant experience across those tools.
  • ✓Developers maintaining legacy codebases who need to add files, symbols, commits, or folders as AI Chat context before asking for explanations, modernization suggestions, or targeted refactoring help.
  • ✓Teams running test maintenance sprints where agent mode and AI Chat can help generate test scaffolding, suggest fixes for failing tests, and iterate on implementation details under human review.
  • ✓Developers who want AI-generated changes to stay inside the IDE review loop, including applying snippets, modifying one or more files, and running terminal commands from AI Chat only after reviewing the suggested response.
  • ✓Organizations evaluating cloud and local AI coding workflows where provider choice, quota, explicit consent, local model configuration, and JetBrains account entitlements need to be governed before rollout.

Who Should Skip JetBrains AI Assistant?

  • ×You're concerned about jetbrains ai assistant is not bundled or enabled by default; users must install the plugin, have a jetbrains ai service license, and explicitly accept jetbrains ai terms before it can access code.
  • ×You need advanced features
  • ×You're concerned about cloud usage is quota-based: ai free includes 3 ai credits per 30 days, ai pro includes 10 individual or 20 organization credits, and ai ultimate includes 35 individual or 70 organization credits, so heavy agent or chat usage may require top-ups or a higher tier.

Our Verdict

✅

JetBrains AI Assistant is a solid choice

JetBrains AI Assistant delivers on its promises as a ai coding tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.

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Frequently Asked Questions

What is JetBrains AI Assistant?

AI-powered plugin for JetBrains IDEs that enhances development workflow with intelligent code completion, next edit suggestions, AI chat with project context, and coding assistance inside JetBrains IDEs.

Is JetBrains AI Assistant good?

Yes, JetBrains AI Assistant is good for ai coding work. Users particularly appreciate deep native integration with jetbrains ides lets developers use ai assistance inside intellij idea, pycharm, webstorm, goland, rider, clion, phpstorm, rubymine, datagrip, dataspell, aqua, and related products instead of switching to a separate ai editor.. However, keep in mind jetbrains ai assistant is not bundled or enabled by default; users must install the plugin, have a jetbrains ai service license, and explicitly accept jetbrains ai terms before it can access code..

Is JetBrains AI Assistant free?

Yes, JetBrains AI Assistant offers a free tier. However, paid plans start at $0 with 3 AI Credits per 30 days and unlock additional functionality for professional users.

Who should use JetBrains AI Assistant?

JetBrains AI Assistant is best for Java and Kotlin teams working in IntelliJ IDEA on Spring, Gradle, Maven, or Kotlin services that want AI code completion, explanations, test generation, and refactoring help inside their existing IDE. and Polyglot engineering teams using several JetBrains IDEs, such as PyCharm for Python services, WebStorm for frontend code, GoLand for Go services, and DataGrip for database work, who want one AI assistant experience across those tools.. It's particularly useful for ai coding professionals who need mellum local code completion.

What are the best JetBrains AI Assistant alternatives?

There are several ai coding tools available. Compare features, pricing, and user reviews to find the best option for your needs.

More about JetBrains AI Assistant

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Last verified March 2026