Most of these tips are trade-offs between the smart capabilities of the IDE and the performance that you get, but they can really help you out if you are experiencing performance issues. In addition to using these solutions and features, you can also modify your project and IDE configuration to make it work faster. To learn about how it works in more detail, please visit the product’s official page. Later we found that using it in a remote development scenario with a server-based IDE instance works very well, too. Code With Me was initially intended for collaborative development purposes, where you share your IDE session with your colleagues. With Code With Me, you install a lightweight version of IntelliJ IDEA on your machine and set up a connection with the host. You can contact us anytime through YouTrack and Twitter. Let us know if you are interested – we’ll be happy to assist you with getting started. In March 2021, we announced Projector 1.0. The web client is implemented using HTML5 Canvas API.
With Projector, you can access the server using a browser. All the heavy operations are then run remotely on a faster machine so you can get results sooner. Basically, they let you set up an IDE instance on a server with high hardware resources, and access it remotely via different protocols. These are new solutions that work with IntelliJ IDEA and our other IntelliJ-based IDEs. At the start of this year, IntelliJ IDEA began providing the ability to open files in a lightweight version of the editor that loads very quickly and has a limited set of basic features, which is perfect for these quick changes. Your time is precious, so people often use a basic third-party lightweight editor. It is not something you want to load the whole IDE and all of its features for.
We have all had times when we have just wanted to quickly look into a file, correct a quick line, or read a small piece of code. To set up this feature for your project, check out these instructions. This system lets you create a local storage for indexes, and connect to a global storage where, for example, JetBrains keeps indexes of the JDKs. Now, you don’t need every computer to process and index the same external project dependencies, or all of your project if you are only working on a small part of it. The goal was to reduce the time spent on project indexing by up to 75%. Shared indexes were introduced in IntelliJ IDEA 2020.2.
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