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- VSCODE STARTUP TIME HOW TO
- VSCODE STARTUP TIME INSTALL
- VSCODE STARTUP TIME CODE
- VSCODE STARTUP TIME DOWNLOAD
In Visual Studio Code, create a new file called package. Remember that these are absolutely not official tips and they can be different from an environment to another.Previous step Next step 6. I think that you’ve to try on your environment what fits your needs.
VSCODE STARTUP TIME CODE
VSCODE STARTUP TIME DOWNLOAD
Download the VSCode Extension Syntax Guide.
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Despite the offial recommendations that say “Use the. I’ve talked about this option here times ago.
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NET Core runtime using: "al.useLegacyRuntime": true Obviously, if you disable code analysis at all it helps a lot but I think this is not a practice to do.Īnother option that could help (at least on some machines) is to switch the AL runtime to the. It’s helpful also using only the required analyzers (if you have all the analyzers active, performances will decrease). Setting "al.backgroundCodeAnalysis": falseĪnd using code analysis only from compilation helps on improving Visual Studio Code performances. The second option where I have experience impact on performances is the al.BackgroundCodeAnalysis option (that permits you to specify whether the code analysis should be performed in the background or not).
VSCODE STARTUP TIME HOW TO
If an extension has a log startup time, disabling it could help.ĭoing that, you can work on tuning Visual Studio Code options. How to create a tasks file The tasks specific to your project are stored inThis command will open a tab with a list of all your running extensions and with their Startup Activation time.
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You can check the installed extensions and how they perform also from the IDE with the following command:
VSCODE STARTUP TIME INSTALL
First advice if you have poor performances on your IDE is then install only the extensions that you need and remove the others.
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If you have lots of extensions installed in your Visual Studio Code box (and this was my case because I don’t work only with AL) Visual Studio Code performances decreases. I think that not everyone of you have 32 GB on a local machine or on a notebook today, so how can we help our Visual Studio Code to perform better with a large AL project? I think that there’s not an official answer or a clear rule on this topic, but I want to report the tips that worked for me.ĭespite on what many thinks, I’ve experienced that the main cause of large RAM usage from Visual Studio Code is due to the third-party extensions installed. Microsoft’s recommendation for Visual Studio Code and AL are listed here and they recommend at least 16 GB of RAM, while 32 GB is the recommended way for large projects. I saw different posts on forums in these days about issues related to poor Visual Studio Code performances when using AL language and opening big projects.
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