JetBrains AI Assistant vs Refact.ai (2026)

JetBrains AI Assistant

by JetBrains

Refact.ai

by Refact

Pros

• ✓Built into eleven JetBrains IDEs plus Android Studio and ReSharper, with code completion from JetBrains' own Mellum model that does not use AI Credits, and a public preview extension for Visual Studio Code.
• ✓Several coding agents in one chat: JetBrains' own Junie, plus Claude Agent, Codex and GitHub Copilot, and any ACP-compatible agent from the registry, with MCP support in both directions.
• ✓Cloud models from OpenAI, Anthropic, Google and xAI through JetBrains AI, bring-your-own-key for OpenAI and Anthropic, and local models through Ollama or LM Studio.

Limitations

• –AI Free is not available in IntelliJ IDEA without an Ultimate subscription, PyCharm without a Pro subscription, or Android Studio, and it does not include next edit suggestions.
• –Cloud AI features pause when the included credits run out until the quota renews after 30 days or credits are topped up, and unused included credits do not roll over.
• –SSO and SCIM, AI audit logs, organization-wide provider keys and on-premises deployment require AI Enterprise at $60 per user per month billed annually, sold through a demo request.

Pros

• ✓Exceptionally broad BYOK provider support with zero commission: OpenAI, Anthropic, Gemini, DeepSeek, OpenRouter, Groq, xAI, plus local runtimes Ollama, LM Studio, and vLLM, with no markup on any provider billing.
• ✓Fully local-first architecture with no vendor dependency: Refact runs entirely from the IDE with user-configured providers, all data stays on the developer's machine, and the open-source codebase is auditable and forkable.
• ✓Rich agent integration surface for a local tool: shell, browser automation, GitHub/GitLab, databases, Docker, MCP, and CLI integrations give the autonomous agent meaningful access to the developer's full workflow.

Limitations

• –No commercial backing or paid support after cloud retirement: the project is community-maintained with no SLA, no dedicated support team, and no commercial entity guaranteeing ongoing development or security updates.
• –Original GitHub repository archived May 30, 2026: development moved to a community fork, creating fragmentation in documentation, issues, and community resources that increases adoption risk for new users.
• –Local-first deployment requires meaningful setup investment: developers must install the local engine, configure BYOK providers or local runtimes, and manage their own infrastructure, unlike hosted alternatives that work immediately after signup.