JetBrains AI

Deeply integrated, context aware AI assistant for coding, right in your IDE. Transform your business with JetBrains AI solutions and services, including integrated AI tools and software development expertise. JetBrains AI Assistant is an AI-powered plugin that integrates directly into JetBrains IDEs like IntelliJ IDEA, PyCharm, and WebStorm to help with code generation, explanations, refactoring, and more. It boosts productivity by suggesting completions inline, handling multi-file edits, and offering a chat interface for queries, all while understanding your project's full context. I think it's especially useful for developers who spend most of their time in these IDEs, as it feels like a natural extension rather than a separate tool. It works with major JetBrains IDEs including IntelliJ IDEA, PyCharm, WebStorm, CLion, Rider, and DataGrip, starting from version 2023.3 or later. Supported languages cover Java, Kotlin, Python, JavaScript, TypeScript, C#, C++, Go, PHP, SQL, and over 20 others, thanks to the IDE's parsing. Recent updates in 2025.2 expanded local model support for offline use across these. Pricing starts with a free tier for unlimited local completions and limited cloud features. The AI Pro plan runs about $10-15 per month for individuals, unlocking higher quotas and advanced tools like multi-file edits. AI Ultimate bundles it with full IDE access for around $25/month, while Enterprise offers custom pricing with on-prem options. Quotas reset monthly, and you can buy extra credits that roll over up to 12 months. It emphasizes privacy with no code retention for training models, and you can use local models or .aiignore files to exclude sensitive paths. Enterprise plans support self-hosted LLMs via Amazon Bedrock or similar, keeping data in-house. JetBrains complies with SOC 2 and offers SSO, though some users note occasional cloud routing for snippets. Always check your org's policies. JetBrains shines in deep IDE integration for large projects and monorepos, with better context from semantic indexing and features like commit message generation. Copilot edges out on broad compatibility (VS Code, Visual Studio) and faster inline completions, but it might feel less native in JetBrains tools. In 2025 reviews, JetBrains scores high for refactoring, while Copilot wins for quick prototyping. Major 2025 updates include multi-file Edit mode for bulk changes with diffs, Junie agent for autonomous tasks like testing and deployment, GPT-5 support, and expanded model choices (OpenAI, Anthropic, Google). The 2025.2 release added image attachments in chat, better offline flexibility with tools like Ollama, and a simpler quota system. These make it stronger for complex workflows.