JetBrains AI

What is JetBrains AI?

JetBrains AI is a sophisticated artificial intelligence service seamlessly integrated into the JetBrains family of development environments. Its purpose is to accelerate the software creation process by delivering smart, contextual coding support. It harnesses the power of various large language models, including those from OpenAI, Google, and JetBrains' proprietary technology, to provide capabilities like automated code completion, generation, explanation, and refactoring advice right inside popular IDEs such as IntelliJ IDEA, PyCharm, and Fleet. By comprehending the specific context of your project and individual coding patterns, this AI Assistant empowers developers to write, debug, and manage code more efficiently and effectively, with robust data protection options including forthcoming on-premises model deployment.

Key Features

Natural Language Code Generation: Create code snippets, unit tests, documentation, and commit messages effortlessly by describing your intent in plain English within the editor.

Context-Sensitive Code Completion: Receive intelligent suggestions for finishing lines, functions, and entire code blocks that are finely tuned to your project's context and your personal coding style.

Code Explanation and Debugging Aid: Get clear explanations of complex code logic, runtime errors, SQL queries, and regex patterns, alongside recommendations for fixes and improvements.

Unified IDE Experience: Enjoy a fluid workflow with AI functionalities deeply woven into the code editor, version control systems, and terminal windows of JetBrains IDEs.

Commitment to Data Privacy: Only essential data is transmitted to AI models, with a strict policy against using user data for training; enhanced security is coming with support for on-premises AI models.

Adaptable Subscription Options: Choose from Pro and Enterprise tiers that provide scalable capabilities, including advanced user management, on-premises installation, and configurable AI models.

Use Cases

Rapid Application Development : Significantly speed up coding tasks by utilizing AI-driven autocompletion and code generation, minimizing manual and repetitive work.

Elevated Code Standards : Employ AI insights to decipher intricate code, spot potential issues, and receive refactoring suggestions for maintaining robust and optimized code.

Streamlined Team Collaboration : Foster better communication and project clarity by automatically generating descriptive commit messages and documentation.

Efficient Learning and Integration : Help new developers get up to speed quickly by using AI to provide instant explanations and contextual guidance within the codebase.

Cross-Language Project Support : Easily translate code between different programming languages and automatically generate tests to accommodate varied development setups.