Compare JetBrains AI Assistant vs. JetBrains Projector in 2026

JetBrains Projector

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Description

The JetBrains AI Assistant integrates your integrated development environment (IDE) with both third-party and proprietary large language models (LLMs) that are tailored for specific functionalities. This integration allows the AI Assistant to deliver accurate and context-sensitive support, assisting with tasks such as generating code snippets, completing intricate code structures, and developing automated tests efficiently. We prioritize the security of your data and code! JetBrains AI Assistant guarantees that your code snippets remain confidential and are neither stored nor shared, irrespective of whether they come from public repositories, private repositories, or local files. Adhering to the JetBrains AI Terms of Service is fundamental to our practices, ensuring that neither we nor our affiliated service providers utilize your data or code for the purpose of training any generative AI models. Additionally, this commitment to privacy and data integrity fosters a trustworthy environment for developers.

Description

Access JetBrains IDEs and Swing applications over a network, leveraging Swing, a graphical widget toolkit for Java, which is utilized by current JetBrains IDEs and other IntelliJ-based applications, including Android Studio. Projector is an innovative self-hosted solution that enables the operation of IntelliJ-based IDEs and Swing applications on a server, granting users the ability to connect from any location through web browsers or dedicated applications. For instance, one can run the IntelliJ IDEA Community Edition in the Safari browser on macOS, facilitating code execution closer to the runtime or database to minimize latency. This setup is particularly beneficial in high-security zones and corporate environments, where thin clients and low-cost hardware, such as Android tablets, can be employed. Users have the convenience of switching off their local machines while their applications remain operational on the server. Moreover, it allows for running the IDE in a GNU/Linux environment on Windows systems or even on more unconventional operating systems like ChromeOS. By utilizing VM or Docker images preloaded with debug sources and a configured IDE, developers can enjoy seamless remote debugging from the server side, whether for development testing or production scenarios. This flexibility enhances productivity and streamlines workflows, making it an invaluable tool for modern software development.