Tailoring Language-Specific Environments: Developers dealing with multiple programming languages can create a profile for each, complete with relevant extensions, linters, and settings, promoting a more fluid workflow. Managing Visual Preferences: For users fond of alternating between themes or appearances based on tasks or time, profiles can ease this transition. ![]() Streamlining Training and Onboarding: Organizations can expedite the setup process for new hires or trainees by creating VS Code Profiles equipped with the requisite tools and configurations. ![]() These profiles permit the creation and swapping of distinct configurations, each tailored to meet the unique requirements of different tasks.įacilitating Collaborative Coding: Profiles can standardize the coding environment across a team, mitigating configuration discrepancies and ensuring everyone works with the same set of tools. Optimizing Multiple Work Scenarios: Users juggling diverse projects ranging from work assignments to personal open-source contributions and side gigs can leverage VS Code Profiles. VS Code Profiles can be used for various purposes, including the following: Additionally, users can share their profiles with others, making it easier to collaborate with a consistent development environment Why Use Profiles? With VS Code Profiles, users can create and save different sets of customizations, and then quickly switch between them as needed. VS Code has a vast array of settings, thousands of extensions, and numerous ways to adjust the user interface layout in order to personalize the editor according to the user’s preferences. In Visual Studio Code (VS Code), profiles are a feature that allows users to create sets of customizations for the editor. In this blog post, we’ll explore how to optimize the startup time of VS Code by using profiles, a feature introduced in VS Code earlier this year. However, having too many extensions installed can increase the startup time of the editor, which can be very annoying. Visual Studio Code (VS Code) is a popular code editor that offers a wide range of extensions to enhance its functionality. My Julia version is 1.8.0.Optimizing VSCode Startup Time with Profiles I’m using VSCode v1.70.2 on Win64 with the Julia Language Support package v1.7.6. ![]() This only happens with the first command after starting VSCode. So my usual workflow is to fire up VSCode, ‘execute’ some lines, then do some other work, and after half an hour when I come back to the IDE I proceeed to work normally. However, Julia does appear to be running, as a subprocess of VSCode, constantly consuming about 30 % of CPU time.Ĭuriously enough, the command eventually does execute. There is no indication of progress whatsoever, no signs that a package is loading, or that a computation is undervway. That is, usually minutes but up to half an hour. No “circular arrow” symbol appears at the end of the line, and nothing gets executed for a long time. Whenever I start VSCode, open a *.jl file and try to run a line of code, it takes a somewhat surprisingly long period of time for VSCode to execute, or even acknowledge the command. I wanted to share an issue that I keep encountering upon starting Julia in VSCode, hoping that I might not be the only one affected by it.
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