Most AI coding tools bolt a chat window onto an editor and call it integration. JetBrains went the other way: because it already owns the parser, indexer, and refactoring engine in every IDE, its AI rides on real code intelligence rather than guessing from raw text. That means completions and edits respect your project's actual symbols and types, not just nearby tokens.
What Sets It Apart
- Unlimited completion runs on Mellum, JetBrains' own model tuned for code, so the high-frequency path doesn't burn third-party API credits.
- Next Edit Suggestions predict the next change anywhere in the file, not just the line you're on — closer to how you actually refactor.
- Model choice is a first-class switch: cloud (OpenAI, Gemini, Anthropic) for hard reasoning, or fully local via Ollama/LM Studio when code can't leave your machine.
- Multi-file edits use RAG over the project, and chat can
/webfor current docs instead of relying on stale training data.
Who It's For and the Trade-offs
Great fit if you already live in IntelliJ, PyCharm, or another JetBrains IDE and want AI that understands the codebase the IDE has already indexed, plus the option to keep models on-prem. Look elsewhere if you work in VS Code or Neovim, want a standalone agent, or need the absolute newest frontier model the day it ships — JetBrains' integration depth comes paired with its own ecosystem and release cadence.
