Easy to use versatile and great community.
January 22, 2026

Easy to use versatile and great community.

Juan Camilo | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Microsoft Visual Studio Code

We mainly use it as a tool to write code in different languages such as Python, C++, c++ and HTML/CSS. One of the main problems it assesses is the integration of not only version control with git, but also the number of add-ons that help us work really efficiently and collaborate easily.

Pros

  • Version control simple integration (git).
  • Open source add on.
  • Debugging tools.
  • Personalization of coding styles.

Cons

  • Friendlier interface for beginners.
  • Additional hotkeys.
  • Easier way to identify different development environments.
  • Version control that enables collaboration.
  • Prevention of bugs in production environments.
  • Free to use for the most part.
Really intuitive for users who already have experience in environments. It is a Swiss army knife in that you can have the widest range of languages, and you will always find an add-on that can enable most of the features of other IDEs that are specialized in a single language.
It is easy to use, has strong community support and add-ons, and lets you organize files in different languages in an easy-to-use, collaborative environment. The main reason I use it is its easy integration with Git and Jupyter notebooks.

Do you think Microsoft Visual Studio Code delivers good value for the price?

Yes

Are you happy with Microsoft Visual Studio Code's feature set?

Yes

Did Microsoft Visual Studio Code live up to sales and marketing promises?

Yes

Did implementation of Microsoft Visual Studio Code go as expected?

Yes

Would you buy Microsoft Visual Studio Code again?

Yes

When working on a development team that simultaneously works on different projects, implementing version control is really useful. Also, for our specific needs, where we develop data pipelines in Python, is one of the best tools to visualize the projects that we are working on. Not only in a normal Python file but also in a Jupyter Notebook.

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