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Best VS Code Extensions for Developers

Choose VS Code extensions by language, project tasks, and workflow. Learn how to evaluate extensions, avoid common setup problems, and keep team recommendations focused.

By the ScreenshotNeo team4 October 20268 min read

The best VS Code extensions for developers depend on the language, tools, and workflow of a project. Start with an extension that supports the language you use, then add a formatter, linter, debugger, testing tool, or remote development extension only when it solves a real need. Install count and rating can help you discover options, but they do not prove an extension is right for your project.

VS Code extensions add language support, debuggers, and workflow tools. The Visual Studio Marketplace guide explains how to find, inspect, install, and manage them.

1. Choose extensions by the task you need to do

Think in terms of jobs rather than collecting a large list. Language support helps VS Code understand a codebase. A formatter changes how code is laid out. A linter flags potential issues. A debugger lets you inspect a running program. Testing tools help run or inspect tests. Remote development extensions connect the editor to a different environment.

Need What to look for Before installing
Language support Syntax, navigation, completions, and project-aware language features Check whether the extension also requires a separately installed runtime, compiler, or language server.
Formatting A formatter that follows the project’s conventions Check how it is configured and whether it conflicts with another formatter.
Linting A linter that catches the kinds of errors or style issues your project cares about Decide which rules are useful and where configuration lives.
Debugging and testing Integration with the project’s debugger or test runner Confirm the underlying runtime, debugger, or test tools are installed and configured.
Remote development Support for your actual environment: WSL, SSH, a container, or a tunnel Check where the extension needs to run and whether it supports the remote environment.

Keep formatter and linter roles clear

A formatter restructures code presentation; a linter analyzes code for potential problems and may also enforce conventions. They can work together, but choose them to match the project. Multiple tools that rewrite the same files or enforce conflicting rules can make saves confusing.

As one documented example, VS Code’s workspace recommendation sample lists dbaeumer.vscode-eslint and esbenp.prettier-vscode. That shows how a team can recommend a linter and a formatter together; it is not a universal setup for every language or repository.

2. A Python setup example

For Python, Microsoft’s Python extension supports editor features such as IntelliSense, linting, debugging, and testing. It does not include Python itself: install a Python interpreter separately, then select the interpreter for the workspace. See the official Python setup tutorial.

  1. Install the Python interpreter appropriate for your project and environment.
  2. In VS Code, open Extensions with Ctrl+Shift+X on Windows or Linux, or Shift+Command+X on macOS. Search for Python and inspect the publisher and extension details.
  3. Install the Python extension and open the project folder.
  4. Run Python: Select Interpreter from the Command Palette and select the environment used by the project.
  5. Add a linter only if the project needs one. Microsoft’s current Python linting documentation describes Pylint, flake8, mypy, and the community Ruff extension as choices. Follow that tool’s README and the project’s existing configuration.

Linting and formatting are separate tools in the current Python extension setup. Older settings such as python.linting and python.formatting are deprecated; configure the appropriate tool extension instead. The Python linting guide covers supported options, interpreter selection, logs, and troubleshooting.

3. Find and assess an extension

Open the Extensions view from the Activity Bar or with the keyboard shortcut, then search by language, task, or exact extension identifier. The Marketplace supports filters such as @category:formatters, @category:linters, @category:debuggers, and @recommended. Sorting by install count or rating can narrow discovery, but neither is a substitute for checking whether the tool fits your project.

Use this installation checklist

  • Publisher: Is this the publisher you intended to install? Check the publisher identity and extension identifier.
  • README and description: Does it clearly explain its purpose, requirements, and configuration?
  • Feature contributions: Review the settings, commands, keybindings, language features, and other behavior it adds.
  • Dependencies: Check whether it installs or relies on other extensions.
  • Changelog and maintenance: Look at release notes and current Marketplace details for compatibility and maintenance signals. These can change, so check the live listing before installing.
  • Permissions and trust: Microsoft’s documentation states, “Extensions have the same permissions as VS Code itself.” VS Code prompts for confirmation when you first install an extension from a third-party publisher in VS Code 1.97 and later. Treat the prompt as a chance to verify the publisher, not as a substitute for review.
  • Project need: Name the task it solves. If you cannot identify one, wait before adding it.

Extension details in VS Code expose publisher, description, README, feature contributions, changelog when available, dependencies, install count, and rating. Marketplace popularity and ratings are discovery aids, not proof of safety, quality, or fit.

4. Keep project setups separate and share recommendations

If you work across stacks, use VS Code Profiles to maintain separate groups of extensions and settings, such as one for Python and another for web development. Profiles can be switched from the Command Palette and associated with folders or workspaces.

For a team, workspace recommendations make project setup discoverable without silently installing extensions for everyone. In a single-folder workspace, add identifiers to .vscode/extensions.json:

{
  "recommendations": [
    "dbaeumer.vscode-eslint",
    "esbenp.prettier-vscode"
  ]
}

These identifiers are an illustrative example from the VS Code documentation. Use recommendations your project actually supports. VS Code offers users the option to install recommended extensions when they open the workspace.

In remote work, the extension may need to run locally or in the remote environment. The Remote Development overview covers SSH, containers, WSL, and tunnels. Extensions are not synchronized to or from remote windows, including SSH, containers, and WSL, so check the Extensions view in the environment where the project runs.

5. Install, update, disable, and remove deliberately

  1. Install from the VS Code Extensions view or the Marketplace after reviewing the details page.
  2. Configure the extension through Settings, its README, or the project’s own config files; extensions differ in where their settings live.
  3. Keep automatic updates enabled if that suits your workflow, or manage updates through the Extensions view. If an update causes a problem, inspect the extension’s changelog and consider installing another available version.
  4. Disable an extension for a workspace when you need to isolate behavior or do not need it there. Uninstall extensions that no longer solve an active need.
  5. When a team needs a reproducible recommendation list, review the identifiers in the repository and keep that list small and project-specific.

6. Troubleshooting common extension problems

Symptom Likely cause What to check
Install fails with connect ETIMEDOUT A proxy or network connection is blocking Marketplace access. Check the network and proxy configuration using the official Marketplace documentation.
Python linting shows no problems No Python interpreter is selected, or the linter is using a different environment. Run Python: Select Interpreter, then inspect the linter’s Output channel and configuration.
Python reports a deprecated linting or formatting setting Workspace or user settings still contain retired python.linting or python.formatting keys. Open User or Workspace Settings (JSON), remove the deprecated keys, and configure the linter or formatter extension.
An extension works locally but not in WSL, SSH, or a container It may be installed in the other extension host, lack remote support, or need dependencies in that environment. Check the Extensions view in the remote window and the extension’s documented remote support and requirements.
Two tools keep changing the same file Formatters or save actions overlap, or lint rules conflict with formatter rules. Choose one formatting authority for the project and review each tool’s save-time actions and configuration.
VS Code warns that an extension signature cannot be verified Package integrity or signature verification failed for a variety of possible reasons. Use caution; verify the publisher and package source. The Marketplace documentation describes signature verification and related error codes.
VS Code or the editor becomes slow after adding extensions An extension may contribute startup work, background processes, or expensive analysis for the workspace. Disable recent additions one at a time or use Extension Bisect from the Extensions view to isolate the cause.

7. Performance, reliability, and cost

VS Code extensions are software that runs as part of the editor’s extension environment. Add them incrementally so you can identify which tool adds value and which one introduces latency, noise, or conflicts. Language servers, linters, and indexers may need time and resources for large workspaces; check their settings and logs when behavior changes.

Reliability depends on the extension, its requirements, your runtime versions, and whether it supports your local or remote environment. Review current Marketplace compatibility information and the project’s own instructions before standardizing on an extension. The VS Code Marketplace provides discovery and installation; the research sources do not establish a single current ranking that applies to all developers.

Marketplace extensions are generally installed as software through VS Code; there is no general per-extension price claim to make from the available evidence. Check the individual listing for its terms, requirements, and any external tool or service it needs.

8. Screenshot workflows: try ScreenshotNeo as an alternative

For developers who also need website screenshots in documentation, issue reports, or automated workflows, ScreenshotNeo is a website screenshot API and MCP server from Yorker Media. One GET request can return a PNG, JPEG, WebP, or PDF. It is separate from choosing VS Code editor extensions, but can be useful alongside a development setup.

For browser-based automation, an alternative is to call the API directly. The code examples and available settings are documented at ScreenshotNeo’s API documentation.

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp
import requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
open("shot.webp", "wb").write(r.content)
const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);

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FAQ

Should every developer install the same extensions?

No. Start with the language and workflow of the project, then add tools that serve a clear purpose.

Does installing a Python extension install Python?

No. Install the interpreter separately and select it for the workspace.

Can a team suggest extensions without requiring them?

Yes. Workspace recommendations let a repository suggest extension identifiers for contributors to review and install.

Are install counts and ratings enough to decide?

No. Read the listing, check its publisher and requirements, and decide whether its features match the project.