StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Terraform vs Visual Studio Code

Terraform vs Visual Studio Code

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
Visual Studio Code
Visual Studio Code
Stacks186.5K
Followers169.1K
Votes2.3K
GitHub Stars178.2K
Forks35.9K

Terraform vs Visual Studio Code: What are the differences?

Introduction:

Terraform and Visual Studio Code are two popular tools used in the field of software development and infrastructure management. Although they serve different purposes, they have certain key differences that set them apart. In this article, we will explore these differences and gain a better understanding of when and how to use each tool.

  1. Language and Purpose: Terraform is an infrastructure orchestration tool that allows users to define and manage infrastructure as code. It uses a declarative language to describe the desired state of infrastructure resources. Visual Studio Code, on the other hand, is a source code editor that provides developers with a customizable environment for writing, debugging, and deploying code.

  2. Scope: Terraform focuses primarily on infrastructure provisioning and management, allowing users to create and manage resources such as virtual machines, networks, and storage in various cloud providers. Visual Studio Code, on the other hand, has a broader scope and can be used for various programming languages and development tasks, including writing and testing code, debugging, and version control.

  3. Execution: Terraform is designed to be executed from the command line or as part of an automated deployment pipeline. It usually runs in the background and continuously monitors the state of infrastructure resources, making necessary changes to achieve the desired state. Visual Studio Code, on the other hand, is an interactive development environment that allows developers to write and execute code in real-time, offering features like code completion, syntax highlighting, and debugging capabilities.

  4. Community and Ecosystem: Terraform has a large and active community that continuously contributes to the development of new providers, modules, and features. It has a rich ecosystem with numerous community-maintained modules and best practices. Visual Studio Code also has a vibrant community and a vast library of extensions that provide additional functionality and support for different programming languages and frameworks.

  5. Integration and Extensibility: Terraform provides integration with various cloud providers, allowing users to deploy and manage infrastructure resources across different platforms. It can also be extended using custom providers and modules. Visual Studio Code, on the other hand, supports integration with various tools and services, such as source control systems, build systems, and cloud platforms, through a wide range of extensions and plugins.

  6. Learning Curve: Terraform has a slightly steeper learning curve compared to Visual Studio Code. It requires users to understand infrastructure concepts and provider-specific configurations. Visual Studio Code, on the other hand, is relatively easier to get started with, as it provides a user-friendly interface and extensive documentation.

In Summary, Terraform is a powerful infrastructure orchestration tool focused on infrastructure provisioning and management, while Visual Studio Code is a versatile source code editor with a broad range of programming language support and development features.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Terraform, Visual Studio Code

Sung Won
Sung Won

Nov 4, 2019

DecidedonGoogle Cloud IoT CoreGoogle Cloud IoT CoreTerraformTerraformPythonPython

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

2.25M views2.25M
Comments
Kamaleshwar
Kamaleshwar

Software Engineer at Dibiz Pte. Ltd.

Jul 8, 2020

Decided

Visual Studio Code became famous over the past 3+ years I believe. The clean UI, easy to use UX and the plethora of integrations made it a very easy decision for us. Our gripe with Sublime was probably only the UX side. VSCode has not failed us till now, and still is able to support our development env without any significant effort.

Goland being paid, as well as built only for Go seemed like a significant limitation to not consider it.

1.36M views1.36M
Comments
Timothy
Timothy

SRE

Mar 20, 2020

Decided

I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
385k views385k
Comments

Detailed Comparison

Terraform
Terraform
Visual Studio Code
Visual Studio Code

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.;Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.;Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.;Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors
Combines UI of a modern editor with code assistance and navigation; Integrated debugging experience
Statistics
GitHub Stars
47.0K
GitHub Stars
178.2K
GitHub Forks
10.1K
GitHub Forks
35.9K
Stacks
22.9K
Stacks
186.5K
Followers
14.7K
Followers
169.1K
Votes
344
Votes
2.3K
Pros & Cons
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Pros
  • 341
    Powerful multilanguage IDE
  • 310
    Fast
  • 194
    Front-end develop out of the box
  • 158
    Support TypeScript IntelliSense
  • 142
    Very basic but free
Cons
  • 46
    Slow startup
  • 29
    Resource hog at times
  • 20
    Poor refactoring
  • 14
    Poor UI Designer
  • 11
    Weak Ui design tools
Integrations
Heroku
Heroku
Amazon EC2
Amazon EC2
CloudFlare
CloudFlare
DNSimple
DNSimple
Microsoft Azure
Microsoft Azure
Consul
Consul
Equinix Metal
Equinix Metal
DigitalOcean
DigitalOcean
OpenStack
OpenStack
Google Compute Engine
Google Compute Engine
No integrations available

What are some alternatives to Terraform, Visual Studio Code?

Sublime Text

Sublime Text

Sublime Text is available for OS X, Windows and Linux. One license is all you need to use Sublime Text on every computer you own, no matter what operating system it uses. Sublime Text uses a custom UI toolkit, optimized for speed and beauty, while taking advantage of native functionality on each platform.

Atom

Atom

At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.

Vim

Vim

Vim is an advanced text editor that seeks to provide the power of the de-facto Unix editor 'Vi', with a more complete feature set. Vim is a highly configurable text editor built to enable efficient text editing. It is an improved version of the vi editor distributed with most UNIX systems. Vim is distributed free as charityware.

Ansible

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Notepad++

Notepad++

Notepad++ is a free (as in "free speech" and also as in "free beer") source code editor and Notepad replacement that supports several languages. Running in the MS Windows environment, its use is governed by GPL License.

Chef

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Emacs

Emacs

GNU Emacs is an extensible, customizable text editor—and more. At its core is an interpreter for Emacs Lisp, a dialect of the Lisp programming language with extensions to support text editing.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Brackets

Brackets

With focused visual tools and preprocessor support, it is a modern text editor that makes it easy to design in the browser.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana