1. ai
  2. /tools
  3. /jetbrains-ai

JetBrains AI Assistant

JetBrains AI Assistant embeds chat, inline generation, and refactoring suggestions directly in IntelliJ IDEA, WebStorm, PyCharm, and the rest of the JetBrains suite.

Last reviewed: June 2026

Feature names and licensing change. Verify JetBrains AI for current IDE versions and subscription bundles.

What it is good at

StrengthDetail
IDE-nativeUnderstands JetBrains PSI — symbols, refactorings, inspections
Multi-languageJava, Kotlin, Python, Go, JS/TS in respective IDEs
Inline completionContext-aware suggestions in JetBrains editors
Chat + actionsExplain, generate tests, convert code with IDE context
EnterpriseJetBrains Account licensing; data handling policies for teams
Copilot coexistenceMany teams run GitHub Copilot plugin alongside or instead

Setup

  1. Update IDE to version with AI Assistant support (2023.3+ — verify for your IDE)
  2. Enable AI Assistant plugin (bundled in recent releases)
  3. Sign in with JetBrains Account; accept AI terms
  4. Configure model access per org policy (JetBrains-hosted vs BYOK where available)

Docs: JetBrains AI documentation.

Modes / core workflow

FeatureUse when
AI ChatExplain stack traces, explore APIs
Generate codeBoilerplate from natural language in editor
Explain commitSummarize VCS changes
Fix with AIInspection/quick-fix integration

Typical loop:

  1. Select code or open file with inspection warning
  2. Open AI Chat with context from editor
  3. Apply suggested patch through IDE diff preview
  4. Run IDE inspections and tests before commit

For JVM services, pair with Amazon Q or Copilot if org standardizes on those instead.

When to use it vs alternatives

Choose JetBrains AIChoose something else
Team already on IntelliJ/WebStormCursor — if team standardizes on VS Code
Deep IDE refactorings matterAider — git-centric terminal only
Enterprise JetBrains license in placeGemini Code Assist — GCP/Android-heavy shops
Kotlin/Java primary stackClaude Code — headless CI automation

See Choosing an AI Coding Tool — notes Copilot + Gemini cover JetBrains too.

Limitations

  • Agentic multi-file autonomy less extensive than Cursor Agent or Claude Code in some workflows
  • MCP/skills ecosystems less documented for JetBrains than VS Code
  • Verify data retention and training opt-out for regulated industries