Setting up Cursor-equivalent AI in JetBrains IDEs (IntelliJ, GoLand, PyCharm)

Published 2026-04-06 by Owner

The most common question I get from JetBrains users about AI coding tools: “Is there a Cursor for IntelliJ?” The short answer is no. Cursor is a VSCode fork; there’s no JetBrains version, and there isn’t going to be one.

The longer answer is that there are several options for AI in JetBrains IDEs, each with real tradeoffs. After helping a few JetBrains-shop teams evaluate, this is the honest landscape.

The options

The mature choices, in rough order of capability:

GitHub Copilot for JetBrains — official plugin from GitHub, first-class JetBrains integration
JetBrains AI Assistant — JetBrains’ own AI plugin, deeply integrated
Continue — open-source, multi-LLM, available as a JetBrains plugin
Aider — terminal-based, works alongside any IDE
Codeium — free for individuals, JetBrains plugin available

Cursor’s specific capabilities don’t have a clean equivalent in JetBrains. The closest combination is “Copilot for inline + JetBrains AI Assistant for chat + Aider for multi-file work” — three tools instead of one, with worse integration than Cursor’s all-in-one experience.

What Cursor does that JetBrains options struggle with

To set realistic expectations, the Cursor capabilities that are hardest to match in JetBrains:

Composer-style multi-file editing. Cursor’s Composer presents a multi-file diff for review. JetBrains AI Assistant has multi-file edit capabilities but the UX is less polished. Continue has it but is less reliable. The closest match in JetBrains-land is still a meaningful step down from Cursor.

Codebase-aware chat. Cursor’s chat understands the whole codebase via its indexing. JetBrains AI Assistant has similar features (it indexes the project) but its quality on cross-file reasoning is noticeably worse. Continue with @codebase works but depends on the underlying model.

Inline edit (Cmd+K). Cursor’s inline edit is fast and clean. The JetBrains equivalent (AI Assistant’s “Edit Code”) is functional but slower and less responsive.

The functional gap is real. If you’re choosing JetBrains specifically because of its language tooling for Java, Kotlin, or another JVM language, the AI gap is the price you pay. For some teams, the gap is acceptable; for others, it’s a reason to switch to VSCode-derived editors.

The recommended JetBrains setup

After helping several teams configure this, the setup that produces the best result:

Primary: GitHub Copilot for JetBrains for inline completions. This is the single most-used feature for most developers, and Copilot’s JetBrains plugin is the most polished AI plugin available. Inline completions feel similar to the VSCode experience.

Secondary: JetBrains AI Assistant for chat and “Edit Code” features. Bundled with JetBrains All Products Pack at no extra cost (or available on its own); deeply integrated with the IDE’s understanding of your project.

Tertiary: Aider in a terminal for multi-file refactoring and tasks where the chat-based AI in JetBrains AI Assistant struggles.

Three tools is more than ideal. The reality of JetBrains AI tooling is that no single plugin matches Cursor’s all-in-one capability, so you end up reaching for different tools at different times.

Configuring GitHub Copilot in IntelliJ

Install the plugin from the JetBrains Marketplace. Sign in with your GitHub account that has Copilot access.

Useful settings (Settings → Tools → GitHub Copilot):

Enable Copilot for languages — turn off languages you don’t want completions for. I disable Copilot for markdown because the suggestions in prose files are usually noise.
Show completions inline — yes, this is the more useful behavior than the popup.
Multiple suggestions — keep at default (1) unless you want to compare.

Copilot Chat is also available in the same plugin via the side panel. The chat quality is decent but the integration with the rest of the IDE is less seamless than VSCode’s. You can ask questions about code; you can’t easily apply chat suggestions as multi-file edits.

Configuring JetBrains AI Assistant

Settings → Tools → AI Assistant.

The Assistant supports multiple model providers — JetBrains-hosted models (subscription required), or your own API keys for OpenAI/Anthropic. The Anthropic option produces noticeably better results for complex tasks; the JetBrains-hosted option is cheaper and good enough for most day-to-day use.

Useful features:

Generate Commit Message — surprisingly good. Reads your diff, produces a commit message. I disable Copilot’s equivalent and use JetBrains’ for this.
Generate Documentation — reads code, produces appropriate docs (Javadoc, KDoc, docstrings depending on language).
Explain Code — for unfamiliar code, useful first-pass explanation.
Edit Code — equivalent to Cursor’s Cmd+K but slower and less reliable. Use it for small inline edits.

The “Generate Commit Message” feature is the one I use most often. It’s better than the same feature in any other tool I’ve tried.

Adding Aider to the mix

For multi-file work that JetBrains AI Assistant can’t handle well, Aider in a terminal is the escape valve.

pip install aider-chat
cd /path/to/your/project
aider --model claude-3-5-sonnet-20241022

The split:

In-IDE work: Copilot for completions, JetBrains AI Assistant for chat
Multi-file refactors: open Aider in a terminal, use it as a separate tool

Both tools see your file system, but Aider’s git integration and explicit file management is better for sweeping refactors. JetBrains AI Assistant tries to do both but is genuinely worse at refactoring than Aider.

The Continue plugin alternative

Continue is open source and supports more models than the official plugins. Worth considering if:

You want to use a model not supported elsewhere (Gemini, local Ollama, etc.)
You’re budget-conscious and want to BYOK rather than pay for Copilot or JetBrains AI Assistant subscriptions
You’re comfortable with rougher UX in exchange for flexibility

Continue’s quality has improved a lot recently, but it’s still rougher than the official plugins. Inline completions are slower; the chat panel has more friction. For most teams, the polish of the official plugins outweighs the model flexibility of Continue.

What this costs

Pricing for a typical solo developer setup:

GitHub Copilot Individual: $10/month
JetBrains AI Assistant: $10/month (or included with All Products Pack at $24.90/month)
Aider with Anthropic API: variable; $5-30/month at moderate use

Total: $25-55/month, depending on your usage.

For comparison: Cursor Pro is $20/month all-in. The JetBrains-equivalent setup costs more, has worse integration, and requires switching between three tools. If pure cost-and-capability is the question, Cursor wins.

The reasons to stay on JetBrains anyway:

The base IDE is genuinely better for some languages — IntelliJ for Java/Kotlin, GoLand for Go, PyCharm for Python. The language-specific refactorings, debugger, and code intelligence are real productivity wins.
Existing team consensus. If your team is on JetBrains and switching has costs, the AI gap might be worth absorbing.
Specific JetBrains features. Database tools, HTTP client, scientific tools in PyCharm — these don’t have VSCode equivalents at the same quality.

If the language tooling and IDE features matter more than AI tooling matches, JetBrains wins. If AI tooling is the priority and language-specific features can be matched by VSCode plugins, switching is reasonable.

For most JetBrains users today, the right setup is:

Copilot for completions (the part you use most)
JetBrains AI Assistant (bundled, free with All Products Pack)
Aider in a terminal for refactors when you need multi-file editing

Don’t try to find a single plugin that matches Cursor. None do. The combination above is the practical match.

For teams considering switching IDEs because of the AI gap: don’t underweight what you’d lose. JetBrains’ language tooling is real, and replacing it with VSCode + plugins is more work than the AI gain probably justifies. Test on real work before committing.

For teams that don’t have strong JetBrains attachment: Cursor or Windsurf is genuinely smoother. The convenience of one tool versus three is measurable across a workday.

There’s no clean answer. The right choice depends on which axis matters more for your team: language tooling depth (JetBrains wins) or AI tooling integration (Cursor/Windsurf win). Both are legitimate. Pick by your actual constraint.